Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMombasa5.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKwale11.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKilifi10.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTana River12.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthLamu11.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTaita/Taveta18.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthGarissa11.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthWajir7.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMandera11.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMarsabit20.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthIsiolo13.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMeru16.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTharaka-Nithi9.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthEmbu9.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKitui9.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMachakos9.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMakueni8.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNyandarua4.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNyeri4.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKirinyaga7.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMurang'a3.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKiambu8.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTurkana15
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthWest Pokot32.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthSamburu41.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTrans Nzoia14.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthUasin Gishu7.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthElgeyo/Marakwet9.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNandi9.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthBaringo14
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthLaikipia8.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNakuru13.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNarok25.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKajiado20.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKericho14.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthBomet7.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKakamega12.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthVihiga3.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthBungoma14.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthBusia13.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthSiaya18.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKisumu9.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthHoma Bay18.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthMigori20.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthKisii13.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNyamira14.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthNairobi City8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a live birthTotal12.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMombasa1
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKwale2.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKilifi1.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTana River1.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossLamu0.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTaita/Taveta1.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossGarissa0.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossWajir0.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMandera0.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMarsabit5.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossIsiolo0.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMeru1
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTharaka-Nithi0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossEmbu0.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKitui0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMachakos0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMakueni0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNyandarua0.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNyeri0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKirinyaga0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMurang'a0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKiambu0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTurkana0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossWest Pokot2.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossSamburu5.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTrans Nzoia1.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossUasin Gishu1.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossElgeyo/Marakwet1.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNandi0.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossBaringo1.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossLaikipia0.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNakuru0.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNarok2.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKajiado0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKericho0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossBomet1.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKakamega0.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossVihiga0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossBungoma1.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossBusia2.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossSiaya0.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKisumu0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossHoma Bay2.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossMigori0.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossKisii0.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNyamira0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossNairobi City0
Teenage pregnancy by county
Percent of women age 15-19 who have ever had a pregnancy lossTotal0.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMombasa2.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKwale3.7
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKilifi3.8
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTana River5.2
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantLamu1.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTaita/Taveta1.8
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantGarissa4.2
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantWajir5.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMandera3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMarsabit9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantIsiolo3.1
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMeru7.6
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTharaka-Nithi0.8
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantEmbu4.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKitui0
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMachakos1.7
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMakueni2.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNyandarua1.5
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNyeri0
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKirinyaga0
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMurang'a3.6
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKiambu3.6
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTurkana4.4
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantWest Pokot6.1
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantSamburu8.7
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTrans Nzoia2.6
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantUasin Gishu5.3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantElgeyo/Marakwet2.5
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNandi0
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantBaringo6.3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantLaikipia1.3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNakuru3.7
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNarok3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKajiado3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKericho0
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantBomet1.2
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKakamega2.8
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantVihiga4.6
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantBungoma4.2
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantBusia3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantSiaya3.3
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKisumu3.8
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantHoma Bay2.9
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantMigori4
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantKisii1.5
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNyamira1.5
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantNairobi City0.4
Teenage pregnancy by county
Percent of women age 15-19 who are currently pregnantTotal3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMombasa10.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKwale14.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKilifi12.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTana River17.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantLamu13.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTaita/Taveta18.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantGarissa14.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantWajir10.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMandera14.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMarsabit29.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantIsiolo16.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMeru23.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTharaka-Nithi9.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantEmbu14.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKitui9.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMachakos11.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMakueni11.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNyandarua5.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNyeri4.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKirinyaga7.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMurang'a7.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKiambu11.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTurkana18.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantWest Pokot36.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantSamburu50.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTrans Nzoia17.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantUasin Gishu10.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantElgeyo/Marakwet12.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNandi10.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantBaringo20.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantLaikipia9.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNakuru17.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNarok28.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKajiado21.8
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKericho14.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantBomet9
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKakamega15.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantVihiga7.7
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantBungoma18.6
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantBusia18.3
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantSiaya20.9
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKisumu11.1
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantHoma Bay23.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantMigori23
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantKisii14.2
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNyamira15.5
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantNairobi City8.4
Teenage pregnancy by county
Percent of women age 15-19 who have ever been pregnantTotal14.9
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMombasa143
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKwale118
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKilifi224
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTana River27
Teenage pregnancy by county
Percent of women age 15-19 Number of womenLamu24
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTaita/Taveta30
Teenage pregnancy by county
Percent of women age 15-19 Number of womenGarissa85
Teenage pregnancy by county
Percent of women age 15-19 Number of womenWajir45
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMandera49
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMarsabit20
Teenage pregnancy by county
Percent of women age 15-19 Number of womenIsiolo27
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMeru206
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTharaka-Nithi39
Teenage pregnancy by county
Percent of women age 15-19 Number of womenEmbu49
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKitui142
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMachakos178
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMakueni151
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNyandarua93
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNyeri74
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKirinyaga64
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMurang'a139
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKiambu267
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTurkana56
Teenage pregnancy by county
Percent of women age 15-19 Number of womenWest Pokot82
Teenage pregnancy by county
Percent of women age 15-19 Number of womenSamburu28
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTrans Nzoia146
Teenage pregnancy by county
Percent of women age 15-19 Number of womenUasin Gishu158
Teenage pregnancy by county
Percent of women age 15-19 Number of womenElgeyo/Marakwet32
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNandi118
Teenage pregnancy by county
Percent of women age 15-19 Number of womenBaringo86
Teenage pregnancy by county
Percent of women age 15-19 Number of womenLaikipia69
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNakuru283
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNarok176
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKajiado97
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKericho135
Teenage pregnancy by county
Percent of women age 15-19 Number of womenBomet152
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKakamega328
Teenage pregnancy by county
Percent of women age 15-19 Number of womenVihiga113
Teenage pregnancy by county
Percent of women age 15-19 Number of womenBungoma294
Teenage pregnancy by county
Percent of women age 15-19 Number of womenBusia149
Teenage pregnancy by county
Percent of women age 15-19 Number of womenSiaya130
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKisumu157
Teenage pregnancy by county
Percent of women age 15-19 Number of womenHoma Bay159
Teenage pregnancy by county
Percent of women age 15-19 Number of womenMigori159
Teenage pregnancy by county
Percent of women age 15-19 Number of womenKisii192
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNyamira81
Teenage pregnancy by county
Percent of women age 15-19 Number of womenNairobi City452
Teenage pregnancy by county
Percent of women age 15-19 Number of womenTotal6025
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMombasa46.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKwale34.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKilifi48.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTana River24.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodLamu42.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTaita/Taveta67.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodGarissa12.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodWajir3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMandera2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMarsabit5.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodIsiolo30.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMeru76
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTharaka-Nithi74.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodEmbu81.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKitui68.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMachakos76.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMakueni73.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNyandarua71.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNyeri81
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKirinyaga76.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMurang'a72.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKiambu77.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTurkana43.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodWest Pokot23.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodSamburu33.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTrans Nzoia69.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodUasin Gishu71.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodElgeyo/Marakwet74.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNandi65.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodBaringo57.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodLaikipia72.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNakuru72.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNarok65.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKajiado63.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKericho60.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodBomet63.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKakamega66.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodVihiga62.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodBungoma66
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodBusia56.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodSiaya43.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKisumu60
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodHoma Bay56.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodMigori60.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodKisii68.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNyamira67.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodNairobi City62.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any methodTotal62.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMombasa42.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKwale34.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKilifi44.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTana River23.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodLamu39.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTaita/Taveta64.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodGarissa11.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodWajir2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMandera1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMarsabit5.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodIsiolo28.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMeru69.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTharaka-Nithi67.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodEmbu75.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKitui62.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMachakos66.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMakueni64.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNyandarua66.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNyeri70.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKirinyaga70.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMurang'a67.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKiambu68.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTurkana30.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodWest Pokot23.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodSamburu25.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTrans Nzoia65.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodUasin Gishu62.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodElgeyo/Marakwet59
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNandi60
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodBaringo47.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodLaikipia64.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNakuru66.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNarok52.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKajiado57.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKericho60
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodBomet57.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKakamega63.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodVihiga60.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodBungoma63.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodBusia55.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodSiaya42.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKisumu56.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodHoma Bay54.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodMigori54.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodKisii63.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNyamira64.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodNairobi City56.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using any modern methodTotal56.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMombasa0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKwale0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKilifi1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTana River0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationLamu0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTaita/Taveta2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationGarissa1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationWajir0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMarsabit0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationIsiolo0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMeru0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTharaka-Nithi3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationEmbu1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKitui1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMachakos3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMakueni4.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNyandarua2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNyeri3.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKirinyaga0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMurang'a1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKiambu2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTurkana1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationWest Pokot0.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationSamburu0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTrans Nzoia3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationUasin Gishu1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationElgeyo/Marakwet3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNandi1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationBaringo0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationLaikipia4.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNakuru3.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNarok1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKajiado1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKericho2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationBomet8.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKakamega4.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationVihiga3.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationBungoma3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationBusia5.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationSiaya2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKisumu0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationHoma Bay3.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationMigori2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationKisii3.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNyamira5.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationNairobi City1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female sterilizationTotal2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMombasa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKilifi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTana River0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationLamu0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTaita/Taveta0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationIsiolo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMeru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTharaka-Nithi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationEmbu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKitui0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMachakos0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMakueni0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNyandarua0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNyeri0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKirinyaga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMurang'a0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKiambu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTurkana0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTrans Nzoia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationUasin Gishu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationElgeyo/Marakwet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNandi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationBaringo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationLaikipia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNakuru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNarok0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKajiado0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationBomet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKakamega0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationBungoma0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationBusia0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKisumu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationMigori0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationKisii0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNyamira0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationNairobi City0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male sterilizationTotal0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMombasa3.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKwale2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKilifi2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTana River1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDLamu1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTaita/Taveta4.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDGarissa0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDWajir0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDIsiolo1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMeru3.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTharaka-Nithi4.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDEmbu7.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKitui1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMachakos4.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMakueni2.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNyandarua12.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNyeri18.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKirinyaga15.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMurang'a7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKiambu9.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTurkana0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDWest Pokot0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDSamburu2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTrans Nzoia2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDUasin Gishu5.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDElgeyo/Marakwet2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNandi0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDBaringo3.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDLaikipia6.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNakuru7.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNarok1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKajiado7.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKericho1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDBomet1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKakamega2.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDVihiga2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDBungoma1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDBusia3.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDSiaya0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKisumu1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDHoma Bay0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDMigori2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDKisii3.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNyamira1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDNairobi City6.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using IUDTotal4.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMombasa16.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKwale18.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKilifi17.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTana River13.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesLamu13.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTaita/Taveta29.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesGarissa4.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesWajir0.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMandera0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMarsabit2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesIsiolo15.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMeru31.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTharaka-Nithi31.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesEmbu21.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKitui35.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMachakos26.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMakueni24.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNyandarua22.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNyeri16.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKirinyaga17.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMurang'a17.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKiambu14.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTurkana9.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesWest Pokot8.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesSamburu8.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTrans Nzoia24.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesUasin Gishu22.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesElgeyo/Marakwet24.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNandi29.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesBaringo16.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesLaikipia24
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNakuru23.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNarok16.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKajiado21.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKericho20.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesBomet22.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKakamega25
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesVihiga15.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesBungoma23.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesBusia14.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesSiaya15.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKisumu19.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesHoma Bay20.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesMigori15.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesKisii26.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNyamira33.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesNairobi City14.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using InjectablesTotal19.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMombasa14.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKwale9.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKilifi17.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTana River5.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsLamu10.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTaita/Taveta15.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsGarissa3.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsWajir0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMandera0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMarsabit2.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsIsiolo4.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMeru22.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTharaka-Nithi19.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsEmbu19.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKitui16.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMachakos13.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMakueni19.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNyandarua13.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNyeri12.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKirinyaga16.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMurang'a14.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKiambu22.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTurkana5.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsWest Pokot11.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsSamburu10.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTrans Nzoia27
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsUasin Gishu23.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsElgeyo/Marakwet20.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNandi21
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsBaringo17.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsLaikipia15
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNakuru18.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNarok24.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKajiado12.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKericho29.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsBomet21.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKakamega26.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsVihiga34.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsBungoma26.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsBusia27.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsSiaya17
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKisumu25
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsHoma Bay20.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsMigori28
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsKisii19.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNyamira18.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsNairobi City12.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using ImplantsTotal18.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMombasa3.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKwale2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKilifi3.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTana River1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillLamu5.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTaita/Taveta7.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillGarissa1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillWajir0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMandera0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMarsabit0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillIsiolo5.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMeru9.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTharaka-Nithi7.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillEmbu22.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKitui4.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMachakos16
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMakueni10.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNyandarua12
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNyeri15.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKirinyaga19
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMurang'a20.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKiambu16.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTurkana0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillWest Pokot1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillSamburu2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTrans Nzoia4.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillUasin Gishu5.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillElgeyo/Marakwet3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNandi3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillBaringo3.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillLaikipia12.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNakuru8.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNarok1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKajiado10.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKericho3.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillBomet2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKakamega2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillVihiga4.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillBungoma4.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillBusia1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillSiaya3.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKisumu4.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillHoma Bay1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillMigori1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillKisii5.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNyamira2.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillNairobi City16.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using PillTotal8.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMombasa1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKwale0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKilifi0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTana River0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomLamu1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTaita/Taveta1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomGarissa0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomIsiolo0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMeru0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTharaka-Nithi1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomEmbu0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKitui0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMachakos1.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMakueni1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNyandarua2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNyeri1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKirinyaga1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMurang'a1.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKiambu0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTurkana0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomWest Pokot0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomSamburu0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTrans Nzoia1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomUasin Gishu1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomElgeyo/Marakwet2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNandi3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomBaringo1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomLaikipia1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNakuru2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNarok0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKajiado2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKericho1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomBomet0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKakamega1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomVihiga0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomBungoma1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomBusia2.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomSiaya3.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKisumu4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomHoma Bay6.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomMigori4.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomKisii1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNyamira1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomNairobi City3.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Male condomTotal1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMombasa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKilifi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTana River0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomLamu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTaita/Taveta0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomIsiolo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMeru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTharaka-Nithi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomEmbu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKitui0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMachakos0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMakueni0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNyandarua0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNyeri0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKirinyaga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMurang'a0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKiambu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTurkana0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTrans Nzoia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomUasin Gishu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomElgeyo/Marakwet0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNandi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomBaringo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomLaikipia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNakuru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNarok0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKajiado0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomBomet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKakamega0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomBungoma0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomBusia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKisumu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomMigori0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomKisii0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNyamira0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomNairobi City0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Female condomTotal0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMombasa0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKilifi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTana River0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionLamu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTaita/Taveta0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionIsiolo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMeru0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTharaka-Nithi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionEmbu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKitui2.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMachakos0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMakueni0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNyandarua0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNyeri0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKirinyaga0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMurang'a1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKiambu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTurkana0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTrans Nzoia0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionUasin Gishu0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionElgeyo/Marakwet0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNandi0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionBaringo0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionLaikipia0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNakuru0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNarok0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKajiado0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionBomet0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKakamega0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionBungoma0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionBusia0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionSiaya0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKisumu0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionMigori0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionKisii0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNyamira0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionNairobi City1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Emergency contraceptionTotal0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMombasa0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKwale0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKilifi1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTana River0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMLamu2.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTaita/Taveta2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMIsiolo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMeru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTharaka-Nithi0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMEmbu1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKitui0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMachakos0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMakueni0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNyandarua0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNyeri0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKirinyaga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMurang'a0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKiambu0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTurkana0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTrans Nzoia1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMUasin Gishu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMElgeyo/Marakwet0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNandi0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMBaringo0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMLaikipia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNakuru1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNarok1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKajiado0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMBomet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKakamega0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMBungoma1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMBusia0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKisumu0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMMigori0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMKisii2.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNyamira0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMNairobi City0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using SDMTotal0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMombasa0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKwale0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKilifi0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTana River1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMLamu3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTaita/Taveta0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMGarissa0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMandera0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMIsiolo0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMeru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTharaka-Nithi0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMEmbu0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKitui0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMachakos0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMakueni0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNyandarua1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNyeri1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKirinyaga0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMurang'a2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKiambu0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTurkana13.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMWest Pokot0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMSamburu0.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTrans Nzoia1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMUasin Gishu1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMElgeyo/Marakwet1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNandi0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMBaringo3.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMLaikipia0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNakuru1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNarok4.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKajiado0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKericho0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMBomet0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKakamega0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMBungoma0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMBusia0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKisumu0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMMigori0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMKisii1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNyamira0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMNairobi City0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using LAMTotal0.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMombasa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKilifi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTana River0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherLamu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTaita/Taveta0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherIsiolo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMeru1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTharaka-Nithi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherEmbu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKitui0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMachakos0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMakueni0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNyandarua0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNyeri0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKirinyaga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMurang'a0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKiambu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTurkana0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTrans Nzoia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherUasin Gishu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherElgeyo/Marakwet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNandi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherBaringo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherLaikipia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNakuru0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNarok0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKajiado0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherBomet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKakamega0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherBungoma0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherBusia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKisumu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherMigori0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherKisii0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNyamira0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherNairobi City0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using OtherTotal0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMombasa4.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKilifi3.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTana River1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodLamu3.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTaita/Taveta3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodGarissa1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodWajir0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMandera0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMarsabit0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodIsiolo1.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMeru6.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTharaka-Nithi6.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodEmbu6.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKitui6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMachakos9.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMakueni8.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNyandarua4.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNyeri10.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKirinyaga5.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMurang'a5.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKiambu9.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTurkana13.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodWest Pokot0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodSamburu8.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTrans Nzoia4.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodUasin Gishu8.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodElgeyo/Marakwet15.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNandi5.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodBaringo10.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodLaikipia7.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNakuru5.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNarok13
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKajiado6.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKericho0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodBomet6.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKakamega3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodVihiga2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodBungoma2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodBusia1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodSiaya0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKisumu3.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodHoma Bay2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodMigori5.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodKisii4.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNyamira3.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodNairobi City6.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Any traditional methodTotal5.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMombasa2.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKilifi2.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTana River0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmLamu1.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTaita/Taveta2.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmGarissa1.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmWajir0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMandera0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmIsiolo0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMeru4.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTharaka-Nithi4.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmEmbu5.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKitui2.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMachakos7.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMakueni7.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNyandarua4.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNyeri8.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKirinyaga4.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMurang'a5.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKiambu7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTurkana11.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmWest Pokot0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmSamburu6.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTrans Nzoia2.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmUasin Gishu6.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmElgeyo/Marakwet10.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNandi4.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmBaringo9.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmLaikipia7.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNakuru3.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNarok6.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKajiado3.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmBomet5.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKakamega2.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmVihiga2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmBungoma1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmBusia0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmSiaya0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKisumu3.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmHoma Bay1.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmMigori4.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmKisii2.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNyamira2.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmNairobi City4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using RhythmTotal4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMombasa1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKilifi1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTana River0.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalLamu1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTaita/Taveta0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalGarissa0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMarsabit0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalIsiolo1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMeru1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTharaka-Nithi1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalEmbu0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKitui3.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMachakos0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMakueni0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNyandarua0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNyeri2.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKirinyaga0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMurang'a0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKiambu1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTurkana0.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalSamburu2.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTrans Nzoia0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalUasin Gishu1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalElgeyo/Marakwet4.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNandi1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalBaringo1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalLaikipia0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNakuru1.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNarok6.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKajiado2.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKericho0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalBomet0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKakamega0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalVihiga0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalBungoma1.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalBusia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalSiaya0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKisumu0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalHoma Bay0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalMigori0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalKisii0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNyamira0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalNairobi City1.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using WithdrawalTotal1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMombasa0.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKwale0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKilifi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTana River0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodLamu0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTaita/Taveta0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodGarissa0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodWajir0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMandera0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMarsabit0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodIsiolo0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMeru0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTharaka-Nithi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodEmbu0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKitui0.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMachakos1.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMakueni0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNyandarua0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNyeri0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKirinyaga0.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMurang'a0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKiambu1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTurkana0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodWest Pokot0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodSamburu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTrans Nzoia1.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodUasin Gishu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodElgeyo/Marakwet0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNandi0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodBaringo0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodLaikipia0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNakuru0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNarok0.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKajiado0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKericho0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodBomet0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKakamega0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodVihiga0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodBungoma0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodBusia0.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodSiaya0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKisumu0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodHoma Bay0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodMigori0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodKisii1.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNyamira0
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodNairobi City0.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 using Other Traditional MethodTotal0.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Mombasa53.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kwale65.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kilifi51.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Tana River75.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Lamu57.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Taita/Taveta32.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Garissa87.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Wajir97
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Mandera97.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Marsabit94.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Isiolo69.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Meru24
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Tharaka-Nithi25.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Embu18.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kitui31.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Machakos23.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Makueni26.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nyandarua28.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nyeri19
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kirinyaga23.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Murang'a27.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kiambu22.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Turkana56.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using West Pokot76.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Samburu66.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Trans Nzoia30.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Uasin Gishu28.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Elgeyo/Marakwet25.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nandi34.4
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Baringo42.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Laikipia27.7
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nakuru27.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Narok34.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kajiado36.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kericho39.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Bomet36.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kakamega33.3
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Vihiga37.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Bungoma34
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Busia43.6
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Siaya56.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kisumu40
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Homa Bay43.2
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Migori39.8
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Kisii31.9
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nyamira32.1
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Nairobi City37.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Not currently using Total37.5
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMombasa100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKwale100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKilifi100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTana River100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalLamu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTaita/Taveta100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalGarissa100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalWajir100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMandera100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMarsabit100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalIsiolo100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMeru100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTharaka-Nithi100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalEmbu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKitui100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMachakos100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMakueni100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNyandarua100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNyeri100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKirinyaga100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMurang'a100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKiambu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTurkana100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalWest Pokot100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalSamburu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTrans Nzoia100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalUasin Gishu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalElgeyo/Marakwet100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNandi100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalBaringo100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalLaikipia100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNakuru100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNarok100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKajiado100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKericho100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalBomet100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKakamega100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalVihiga100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalBungoma100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalBusia100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalSiaya100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKisumu100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalHoma Bay100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalMigori100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalKisii100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNyamira100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalNairobi City100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 TotalTotal100
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMombasa546
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKwale302
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKilifi483
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTana River107
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenLamu59
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTaita/Taveta130
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenGarissa170
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenWajir92
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMandera138
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMarsabit94
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenIsiolo76
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMeru569
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTharaka-Nithi171
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenEmbu214
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKitui449
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMachakos553
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMakueni366
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNyandarua225
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNyeri254
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKirinyaga253
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMurang'a344
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKiambu1116
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTurkana204
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenWest Pokot264
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenSamburu106
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTrans Nzoia361
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenUasin Gishu525
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenElgeyo/Marakwet143
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNandi327
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenBaringo200
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenLaikipia161
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNakuru906
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNarok444
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKajiado520
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKericho395
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenBomet351
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKakamega715
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenVihiga171
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenBungoma614
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenBusia360
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenSiaya299
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKisumu413
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenHoma Bay391
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenMigori397
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenKisii470
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNyamira178
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenNairobi City2195
Current use of contraception according to county
Percent distribution of currently married women age 15–49 Number of womenTotal17822
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMombasa19.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKwale24.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKilifi17.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTana River33.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningLamu16.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTaita/Taveta12.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningGarissa10.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningWajir12.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMandera17.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMarsabit37.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningIsiolo27.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMeru7.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTharaka-Nithi9.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningEmbu2.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKitui17.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMachakos6.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMakueni10.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNyandarua8.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNyeri4.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKirinyaga6.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMurang'a5.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKiambu8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTurkana15.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningWest Pokot30.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningSamburu29.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTrans Nzoia13.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningUasin Gishu13.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningElgeyo/Marakwet13.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNandi17.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningBaringo16.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningLaikipia4.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNakuru8.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNarok14.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKajiado12.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKericho17.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningBomet16.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKakamega13.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningVihiga18.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningBungoma14.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningBusia18.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningSiaya27.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKisumu16.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningHoma Bay17
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningMigori20.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningKisii14.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNyamira15.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningNairobi City12.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Unmet need for family planningTotal13.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Mombasa46.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kwale32.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kilifi51
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Tana River24.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Lamu46.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Taita/Taveta67.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Garissa15.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Wajir4.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Mandera0.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Marsabit4.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Isiolo33
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Meru77.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Tharaka-Nithi72.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Embu81.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kitui67.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Machakos77.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Makueni69.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nyandarua75.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nyeri79.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kirinyaga73.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Murang'a73
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kiambu74.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Turkana39.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)West Pokot23.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Samburu33.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Trans Nzoia69.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Uasin Gishu67.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Elgeyo/Marakwet71.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nandi63.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Baringo55.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Laikipia75.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nakuru72.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Narok65.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kajiado59.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kericho60
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Bomet63.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kakamega68.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Vihiga60
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Bungoma65
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Busia57.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Siaya42.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kisumu60.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Homa Bay64.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Migori60.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Kisii68.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nyamira62.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Nairobi City62.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (all methods)Total62.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Mombasa40.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kwale32.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kilifi46.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Tana River22.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Lamu41
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Taita/Taveta63.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Garissa12.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Wajir4.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Mandera0.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Marsabit4.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Isiolo31
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Meru71
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Tharaka-Nithi67.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Embu74.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kitui62.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Machakos66
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Makueni60.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nyandarua72.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nyeri72.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kirinyaga68
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Murang'a69
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kiambu66.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Turkana30.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)West Pokot22.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Samburu26.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Trans Nzoia65.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Uasin Gishu60.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Elgeyo/Marakwet57.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nandi58.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Baringo44.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Laikipia66.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nakuru64.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Narok55.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kajiado54.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kericho60
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Bomet56.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kakamega64.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Vihiga57.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Bungoma62.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Busia56
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Siaya41.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kisumu57.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Homa Bay63.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Migori54.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Kisii63.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nyamira58.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Nairobi City57.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 with Met need for family planning (modern methods)Total56.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMombasa65.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKwale56.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKilifi68.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTana River58.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningLamu63.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTaita/Taveta80
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningGarissa26.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningWajir16.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMandera18
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMarsabit42.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningIsiolo60.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMeru85.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTharaka-Nithi82.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningEmbu83.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKitui85.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMachakos84
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMakueni80.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNyandarua84.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNyeri84.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKirinyaga80.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMurang'a78.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKiambu82.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTurkana55.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningWest Pokot53.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningSamburu62.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTrans Nzoia82.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningUasin Gishu80.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningElgeyo/Marakwet84.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNandi81.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningBaringo72
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningLaikipia80.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNakuru80.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNarok80.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKajiado72.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKericho77.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningBomet80
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKakamega82.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningVihiga78.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningBungoma79.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningBusia76.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningSiaya69.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKisumu76.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningHoma Bay81.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningMigori80.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningKisii83.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNyamira78
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningNairobi City75.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Total demand for family planningTotal76.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMombasa281
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKwale159
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKilifi255
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTana River56
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenLamu33
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTaita/Taveta67
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenGarissa94
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenWajir52
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMandera75
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMarsabit50
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenIsiolo43
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMeru291
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTharaka-Nithi86
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenEmbu109
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKitui218
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMachakos297
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMakueni199
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNyandarua119
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNyeri132
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKirinyaga135
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMurang'a164
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKiambu574
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTurkana105
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenWest Pokot138
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenSamburu52
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTrans Nzoia180
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenUasin Gishu284
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenElgeyo/Marakwet72
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNandi173
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenBaringo103
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenLaikipia84
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNakuru501
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNarok242
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKajiado262
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKericho197
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenBomet187
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKakamega381
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenVihiga98
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenBungoma311
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenBusia195
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenSiaya155
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKisumu207
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenHoma Bay200
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenMigori205
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenKisii277
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNyamira92
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenNairobi City1129
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Number of womenTotal9319
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Mombasa71
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kwale57.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kilifi74
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Tana River42.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Lamu73.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Taita/Taveta84
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Garissa58.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Wajir24.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Mandera4.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Marsabit11.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Isiolo54.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Meru90.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Tharaka-Nithi88.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Embu97.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kitui79.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Machakos92
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Makueni86.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nyandarua89.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nyeri94.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kirinyaga91.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Murang'a93.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kiambu90.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Turkana71.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)West Pokot43.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Samburu52.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Trans Nzoia83.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Uasin Gishu83.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Elgeyo/Marakwet84
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nandi78.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Baringo77
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Laikipia94.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nakuru89.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Narok81.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kajiado82.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kericho77.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Bomet79.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kakamega83.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Vihiga76.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Bungoma81.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Busia75.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Siaya60.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kisumu78.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Homa Bay79.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Migori74.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Kisii82.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nyamira79.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Nairobi City83.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (all methods)Total81.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Mombasa62
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kwale57.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kilifi68.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Tana River39.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Lamu64.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Taita/Taveta80
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Garissa48.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Wajir24.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Mandera4.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Marsabit11.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Isiolo51.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Meru83.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Tharaka-Nithi81.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Embu89.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kitui73.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Machakos78.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Makueni75.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nyandarua85.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nyeri86.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kirinyaga84.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Murang'a88.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kiambu80.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Turkana54.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)West Pokot42.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Samburu42.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Trans Nzoia79.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Uasin Gishu74.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Elgeyo/Marakwet67.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nandi71.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Baringo62.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Laikipia83
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nakuru80.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Narok68.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kajiado75.7
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kericho77.8
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Bomet71.1
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kakamega79
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Vihiga73.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Bungoma79
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Busia73.4
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Siaya59.9
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kisumu74.2
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Homa Bay77.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Migori68.3
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Kisii75.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nyamira75.5
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Nairobi City76.6
Need and demand for family planning among currently married women by county
Percentage of currently married women age 15–49 Percentage of demand satisfied (modern methods)Total74.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMombasa99.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKwale99.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKilifi99.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTana River95.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerLamu97.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTaita/Taveta100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerGarissa77.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerWajir84
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMandera76.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMarsabit93.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerIsiolo99.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMeru99.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTharaka-Nithi98
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerEmbu100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKitui94.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMachakos98
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMakueni99.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNyandarua98.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNyeri97.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKirinyaga100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMurang'a100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKiambu98.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTurkana99.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerWest Pokot97.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerSamburu92.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTrans Nzoia98.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerUasin Gishu98.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerElgeyo/Marakwet99.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNandi97.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerBaringo99.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerLaikipia99
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNakuru97.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNarok96.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKajiado100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKericho95.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerBomet96.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKakamega100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerVihiga99.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerBungoma98.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerBusia99.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerSiaya99.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKisumu98
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerHoma Bay95.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerMigori100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerKisii98.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNyamira100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerNairobi City100
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey receiving antenatal care from skilled providerTotal97.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMombasa65.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKwale71.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKilifi77.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTana River61.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsLamu70.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTaita/Taveta64.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsGarissa31.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsWajir44.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMandera40.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMarsabit67.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsIsiolo52.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMeru45
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTharaka-Nithi63.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsEmbu62
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKitui68.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMachakos76.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMakueni75.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNyandarua60.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNyeri82.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKirinyaga67.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMurang'a58.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKiambu66.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTurkana57.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsWest Pokot35
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsSamburu56.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTrans Nzoia68.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsUasin Gishu71.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsElgeyo/Marakwet51.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNandi62.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsBaringo49.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsLaikipia65.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNakuru73.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNarok55.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKajiado81.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKericho58.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsBomet53.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKakamega73.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsVihiga79.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsBungoma72.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsBusia70.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsSiaya65.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKisumu63.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsHoma Bay68.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsMigori58.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsKisii62.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNyamira65.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsNairobi City80.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with 4+ ANC visitsTotal66
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMombasa94.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKwale96.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKilifi95.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTana River86.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyLamu87.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTaita/Taveta92.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyGarissa48
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyWajir72
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMandera61.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMarsabit87
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyIsiolo84.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMeru83.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTharaka-Nithi93.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyEmbu88.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKitui88.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMachakos92.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMakueni93.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNyandarua92.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNyeri90.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKirinyaga92.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMurang'a90.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKiambu93.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTurkana96.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyWest Pokot87.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancySamburu84.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTrans Nzoia92.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyUasin Gishu93.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyElgeyo/Marakwet86
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNandi80.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyBaringo84.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyLaikipia91.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNakuru93.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNarok83.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKajiado94.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKericho90.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyBomet90.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKakamega92.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyVihiga98.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyBungoma90.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyBusia94.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancySiaya89.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKisumu94.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyHoma Bay89.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyMigori92.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyKisii94.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNyamira93.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyNairobi City91.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey who took any iron-containing supplements during pregnancyTotal90.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMombasa62.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKwale75.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKilifi71
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTana River62.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusLamu81.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTaita/Taveta91.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusGarissa57.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusWajir60.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMandera53.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMarsabit67
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusIsiolo77.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMeru69.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTharaka-Nithi79.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusEmbu89.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKitui65.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMachakos64.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMakueni83.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNyandarua75.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNyeri73.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKirinyaga64.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMurang'a86
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKiambu86.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTurkana86.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusWest Pokot70.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusSamburu62.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTrans Nzoia62.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusUasin Gishu67.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusElgeyo/Marakwet69.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNandi75.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusBaringo76
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusLaikipia84.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNakuru90.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNarok75.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKajiado78.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKericho87.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusBomet82.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKakamega79.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusVihiga84.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusBungoma74.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusBusia91.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusSiaya64.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKisumu73.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusHoma Bay57.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusMigori59.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusKisii84.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNyamira76.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusNairobi City74.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey whose most recent live birth was protected against neonatal tetanusTotal75
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMombasa170
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKwale113
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKilifi188
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTana River55
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenLamu27
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTaita/Taveta52
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenGarissa85
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenWajir52
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMandera89
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMarsabit53
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenIsiolo36
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMeru206
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTharaka-Nithi49
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenEmbu64
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKitui142
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMachakos154
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMakueni121
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyandarua82
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyeri85
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKirinyaga81
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMurang'a134
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKiambu412
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTurkana126
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenWest Pokot174
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenSamburu59
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTrans Nzoia135
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenUasin Gishu210
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenElgeyo/Marakwet67
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNandi116
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBaringo99
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenLaikipia64
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNakuru334
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNarok235
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKajiado204
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKericho141
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBomet128
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKakamega287
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenVihiga63
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBungoma228
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBusia139
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenSiaya119
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKisumu172
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenHoma Bay152
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMigori182
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKisii164
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyamira55
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNairobi City746
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTotal6847
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMombasa95.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKwale89.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKilifi84.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTana River59.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerLamu92.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTaita/Taveta95.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerGarissa68.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerWajir56.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMandera54.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMarsabit68.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerIsiolo85
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMeru90.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTharaka-Nithi95.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerEmbu96.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKitui86
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMachakos95.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMakueni92.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNyandarua98
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNyeri99.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKirinyaga97.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMurang'a96.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKiambu98.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTurkana52.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerWest Pokot65.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerSamburu56.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTrans Nzoia93.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerUasin Gishu95.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerElgeyo/Marakwet97.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNandi87.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerBaringo83
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerLaikipia92.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNakuru93.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNarok70.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKajiado85.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKericho92.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerBomet88.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKakamega95.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerVihiga97.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerBungoma87.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerBusia87.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerSiaya94.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKisumu97.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerHoma Bay91.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerMigori92.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerKisii93.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNyamira92.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerNairobi City99.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered by a skilled providerTotal89.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMombasa94.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKwale84.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKilifi83.8
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTana River51.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityLamu90.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTaita/Taveta93.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityGarissa61.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityWajir53.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMandera50.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMarsabit59.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityIsiolo83.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMeru71.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTharaka-Nithi74.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityEmbu86.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKitui76.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMachakos93.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMakueni88.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNyandarua95.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNyeri99.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKirinyaga91.6
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMurang'a83.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKiambu89.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTurkana43.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityWest Pokot55.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilitySamburu49.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTrans Nzoia85.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityUasin Gishu91
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityElgeyo/Marakwet85.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNandi80.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityBaringo58.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityLaikipia87.1
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNakuru93.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNarok64.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKajiado82.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKericho89.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityBomet56.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKakamega90
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityVihiga90.9
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityBungoma79.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityBusia83.7
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilitySiaya84.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKisumu94.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityHoma Bay86.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityMigori89.2
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityKisii76
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNyamira91.5
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityNairobi City93.4
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey delivered in a health facilityTotal82.3
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMombasa187
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKwale119
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKilifi191
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTana River56
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsLamu29
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTaita/Taveta54
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsGarissa94
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsWajir56
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMandera95
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMarsabit54
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsIsiolo37
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMeru207
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTharaka-Nithi50
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsEmbu69
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKitui145
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMachakos166
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMakueni126
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNyandarua84
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNyeri88
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKirinyaga84
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMurang'a142
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKiambu420
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTurkana130
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsWest Pokot177
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsSamburu62
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTrans Nzoia137
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsUasin Gishu219
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsElgeyo/Marakwet69
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNandi118
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsBaringo103
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsLaikipia65
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNakuru342
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNarok242
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKajiado205
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKericho147
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsBomet137
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKakamega298
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsVihiga67
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsBungoma243
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsBusia145
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsSiaya125
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKisumu177
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsHoma Bay156
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsMigori190
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsKisii168
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNyamira57
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsNairobi City773
Maternal care indicators by county
Percentage of live births in the 2 years preceding the survey Number of birthsTotal7101
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMombasa75
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKwale89.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKilifi82.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTana River59.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthLamu87.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTaita/Taveta86.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthGarissa45.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthWajir37
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMandera45.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMarsabit40.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthIsiolo75.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMeru41.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTharaka-Nithi66
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthEmbu85.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKitui75.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMachakos90.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMakueni83.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNyandarua80.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNyeri80.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKirinyaga88.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMurang'a77.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKiambu83.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTurkana52.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthWest Pokot65.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthSamburu54.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTrans Nzoia74.4
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthUasin Gishu71.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthElgeyo/Marakwet78.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNandi63
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthBaringo61.7
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthLaikipia66.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNakuru82
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNarok65.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKajiado80.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKericho65.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthBomet52.3
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKakamega60.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthVihiga86.8
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthBungoma51.6
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthBusia90.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthSiaya80.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKisumu87.9
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthHoma Bay72.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthMigori70.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthKisii71.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNyamira85.2
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthNairobi City80.1
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey with a postnatal check during the first 2 days after birthTotal72.5
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMombasa170
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKwale113
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKilifi188
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTana River55
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenLamu27
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTaita/Taveta52
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenGarissa85
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenWajir52
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMandera89
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMarsabit53
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenIsiolo36
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMeru206
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTharaka-Nithi49
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenEmbu64
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKitui142
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMachakos154
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMakueni121
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyandarua82
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyeri85
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKirinyaga81
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMurang'a134
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKiambu412
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTurkana126
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenWest Pokot174
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenSamburu59
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTrans Nzoia135
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenUasin Gishu210
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenElgeyo/Marakwet67
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNandi116
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBaringo99
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenLaikipia64
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNakuru334
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNarok235
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKajiado204
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKericho141
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBomet128
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKakamega287
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenVihiga63
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBungoma228
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenBusia139
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenSiaya119
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKisumu172
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenHoma Bay152
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenMigori182
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenKisii164
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNyamira55
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenNairobi City746
Maternal care indicators by county
Percentage of women aged 15-49 who had a live birth in the 2 years preceding the survey Number of womenTotal6847
Percentage of children age 12–23 months who received BCG at any time before the surveyMombasa98.6
Percentage of children age 12–23 months who received BCG at any time before the surveyKwale96.1
Percentage of children age 12–23 months who received BCG at any time before the surveyKilifi100
Percentage of children age 12–23 months who received BCG at any time before the surveyTana River94.6
Percentage of children age 12–23 months who received BCG at any time before the surveyLamu98.6
Percentage of children age 12–23 months who received BCG at any time before the surveyTaita/Taveta98.4
Percentage of children age 12–23 months who received BCG at any time before the surveyGarissa63.2
Percentage of children age 12–23 months who received BCG at any time before the surveyWajir94.7
Percentage of children age 12–23 months who received BCG at any time before the surveyMandera63.2
Percentage of children age 12–23 months who received BCG at any time before the surveyMarsabit94.8
Percentage of children age 12–23 months who received BCG at any time before the surveyIsiolo97.1
Percentage of children age 12–23 months who received BCG at any time before the surveyMeru100
Percentage of children age 12–23 months who received BCG at any time before the surveyTharaka-Nithi100
Percentage of children age 12–23 months who received BCG at any time before the surveyEmbu100
Percentage of children age 12–23 months who received BCG at any time before the surveyKitui86.6
Percentage of children age 12–23 months who received BCG at any time before the surveyMachakos95.2
Percentage of children age 12–23 months who received BCG at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received BCG at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received BCG at any time before the surveyNyeri91.5
Percentage of children age 12–23 months who received BCG at any time before the surveyKirinyaga98.1
Percentage of children age 12–23 months who received BCG at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received BCG at any time before the surveyKiambu100
Percentage of children age 12–23 months who received BCG at any time before the surveyTurkana96.7
Percentage of children age 12–23 months who received BCG at any time before the surveyWest Pokot97.3
Percentage of children age 12–23 months who received BCG at any time before the surveySamburu93.1
Percentage of children age 12–23 months who received BCG at any time before the surveyTrans Nzoia98
Percentage of children age 12–23 months who received BCG at any time before the surveyUasin Gishu98.6
Percentage of children age 12–23 months who received BCG at any time before the surveyElgeyo/Marakwet97.6
Percentage of children age 12–23 months who received BCG at any time before the surveyNandi100
Percentage of children age 12–23 months who received BCG at any time before the surveyBaringo98.3
Percentage of children age 12–23 months who received BCG at any time before the surveyLaikipia93.9
Percentage of children age 12–23 months who received BCG at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received BCG at any time before the surveyNarok98.7
Percentage of children age 12–23 months who received BCG at any time before the surveyKajiado96.9
Percentage of children age 12–23 months who received BCG at any time before the surveyKericho94.1
Percentage of children age 12–23 months who received BCG at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received BCG at any time before the surveyKakamega100
Percentage of children age 12–23 months who received BCG at any time before the surveyVihiga100
Percentage of children age 12–23 months who received BCG at any time before the surveyBungoma100
Percentage of children age 12–23 months who received BCG at any time before the surveyBusia98.2
Percentage of children age 12–23 months who received BCG at any time before the surveySiaya99.3
Percentage of children age 12–23 months who received BCG at any time before the surveyKisumu97.7
Percentage of children age 12–23 months who received BCG at any time before the surveyHoma Bay98.3
Percentage of children age 12–23 months who received BCG at any time before the surveyMigori99.6
Percentage of children age 12–23 months who received BCG at any time before the surveyKisii99.1
Percentage of children age 12–23 months who received BCG at any time before the surveyNyamira100
Percentage of children age 12–23 months who received BCG at any time before the surveyNairobi City96.8
Percentage of children age 12–23 months who received BCG at any time before the surveyTotal96.9
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMombasa100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKwale96.7
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKilifi100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTana River93.5
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyLamu100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTaita/Taveta98.4
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyGarissa63.3
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyWajir94.6
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMandera63.8
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMarsabit93.2
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyIsiolo96.8
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMeru98.3
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTharaka-Nithi100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKitui91
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMachakos97.6
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNyeri94.7
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKirinyaga100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKiambu100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTurkana96.6
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyWest Pokot98.1
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveySamburu90.8
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTrans Nzoia100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyUasin Gishu98.6
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyElgeyo/Marakwet94.9
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNandi100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyBaringo98
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNarok97.5
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKajiado91.9
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKericho95.4
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKakamega100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyBungoma98.7
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyBusia100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveySiaya99.3
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKisumu100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyHoma Bay97.5
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyMigori99.6
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyKisii99.1
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNyamira100
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyNairobi City97.4
Percentage of children age 12–23 months who received DPT-HepB-Hib -1 at any time before the surveyTotal97.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMombasa99.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKwale94
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKilifi98.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTana River88.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyLamu97.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTaita/Taveta95.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyGarissa40.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyWajir83.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMandera52.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMarsabit89.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyIsiolo94.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMeru96.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTharaka-Nithi98
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKitui86.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMachakos93.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMakueni89.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNyeri92.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKirinyaga98.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKiambu100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTurkana91.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyWest Pokot85.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveySamburu89
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTrans Nzoia98
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyUasin Gishu95.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyElgeyo/Marakwet88.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNandi96.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyBaringo98
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNarok97.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKajiado85.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKericho95.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyBomet95.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKakamega100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyBungoma97.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyBusia100
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveySiaya97.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKisumu87.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyHoma Bay94.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyMigori98.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyKisii95.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNyamira96
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyNairobi City93.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 2 at any time before the surveyTotal93.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMombasa97.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKwale82.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKilifi93.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTana River80.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyLamu85.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTaita/Taveta85.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyGarissa36.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyWajir66.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMandera43.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMarsabit84.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyIsiolo88.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMeru92.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTharaka-Nithi96.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyEmbu97.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKitui83.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMachakos92.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMakueni85.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNyandarua98
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNyeri85.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKirinyaga92.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKiambu91.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTurkana84.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyWest Pokot73.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveySamburu87.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTrans Nzoia87.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyUasin Gishu94.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyElgeyo/Marakwet83.4
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNandi95.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyBaringo96.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyLaikipia91.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNarok90.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKajiado73.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKericho93
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyBomet89.8
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKakamega97.1
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyVihiga95.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyBungoma97.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyBusia96.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveySiaya93.9
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKisumu87.6
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyHoma Bay86.2
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyMigori91.3
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyKisii95.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNyamira95.5
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyNairobi City87.7
Percentage of children age 12–23 months who received DPT-HepB-Hib - 3 at any time before the surveyTotal89.2
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMombasa94.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKwale85.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKilifi92.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTana River80.1
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyLamu93.7
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTaita/Taveta94.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyGarissa51.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyWajir47.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMandera35.1
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMarsabit75.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyIsiolo84.3
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMeru90.8
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTharaka-Nithi95.6
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKitui73.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMachakos90.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMakueni95.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNyandarua98.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNyeri88.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKirinyaga95.1
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKiambu95.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTurkana56.7
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyWest Pokot45.2
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveySamburu59.3
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTrans Nzoia87.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyUasin Gishu90.2
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyElgeyo/Marakwet79
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNandi100
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyBaringo76.6
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyLaikipia88.2
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNakuru92.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNarok53.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKajiado81.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKericho82.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyBomet87.7
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKakamega93.2
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyVihiga93.6
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyBungoma82.9
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyBusia89.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveySiaya95.1
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKisumu91.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyHoma Bay94.1
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyMigori91.8
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyKisii98.5
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNyamira94.8
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyNairobi City93.4
Percentage of children age 12–23 months who received OPV1 - 0 at any time before the surveyTotal86.1
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMombasa100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKwale96.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKilifi99.3
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTana River93.4
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyLamu99
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTaita/Taveta97.4
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyGarissa63
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyWajir93.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMandera62
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMarsabit92.1
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyIsiolo86.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMeru96.9
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTharaka-Nithi100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKitui90.8
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMachakos97.6
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNyandarua99.2
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNyeri92.9
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKirinyaga100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKiambu98.2
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTurkana95.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyWest Pokot96.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveySamburu91.2
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTrans Nzoia98.2
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyUasin Gishu98.6
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyElgeyo/Marakwet98.2
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNandi100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyBaringo98
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNarok97
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKajiado96.9
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKericho95.4
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKakamega99.6
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyBungoma97.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyBusia100
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveySiaya99.3
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKisumu98.7
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyHoma Bay97.6
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyMigori98
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyKisii99.1
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNyamira97.4
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyNairobi City95.3
Percentage of children age 12–23 months who received OPV1 - 1 at any time before the surveyTotal96.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMombasa99.1
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKwale96.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKilifi97.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTana River85.8
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyLamu98.2
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTaita/Taveta95.4
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyGarissa56
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyWajir81.1
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMandera59.2
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMarsabit86.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyIsiolo81.4
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMeru89.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTharaka-Nithi98
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyEmbu98.1
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKitui90.8
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMachakos97.6
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMakueni96.2
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNyandarua95.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNyeri92.9
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKirinyaga98
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKiambu95.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTurkana90.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyWest Pokot89.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveySamburu85
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTrans Nzoia96.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyUasin Gishu94.6
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyElgeyo/Marakwet91.9
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNandi99.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyBaringo98
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyLaikipia95.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNarok94.2
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKajiado88.9
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKericho94.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKakamega98.2
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyBungoma97.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyBusia97.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveySiaya95.6
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKisumu98.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyHoma Bay91.4
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyMigori95.7
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyKisii95.6
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNyamira94.8
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyNairobi City95.3
Percentage of children age 12–23 months who received OPV1 - 2 at any time before the surveyTotal94.2
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMombasa85.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKwale77.4
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKilifi78.6
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTana River68.5
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyLamu76.5
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTaita/Taveta81.3
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyGarissa35.2
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyWajir58
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMandera38.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMarsabit52.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyIsiolo59.4
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMeru79.1
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTharaka-Nithi91.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyEmbu88.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKitui78.7
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMachakos91.3
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMakueni84.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNyandarua83.1
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNyeri82
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKirinyaga81.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMurang'a74.7
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKiambu80.4
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTurkana73.3
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyWest Pokot51.6
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveySamburu69.5
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTrans Nzoia91.1
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyUasin Gishu78
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyElgeyo/Marakwet74.3
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNandi87.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyBaringo82.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyLaikipia76.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNakuru91.1
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNarok75.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKajiado71
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKericho71.6
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyBomet91.2
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKakamega91.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyVihiga88.6
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyBungoma89.3
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyBusia73.4
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveySiaya84.4
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKisumu85.2
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyHoma Bay74.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyMigori84.9
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyKisii88.5
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNyamira88.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyNairobi City67.8
Percentage of children age 12–23 months who received OPV1 - 3 at any time before the surveyTotal78.2
Percentage of children age 12–23 months who received IPV at any time before the surveyMombasa93.9
Percentage of children age 12–23 months who received IPV at any time before the surveyKwale92.8
Percentage of children age 12–23 months who received IPV at any time before the surveyKilifi92.2
Percentage of children age 12–23 months who received IPV at any time before the surveyTana River82.2
Percentage of children age 12–23 months who received IPV at any time before the surveyLamu87.7
Percentage of children age 12–23 months who received IPV at any time before the surveyTaita/Taveta89
Percentage of children age 12–23 months who received IPV at any time before the surveyGarissa53.8
Percentage of children age 12–23 months who received IPV at any time before the surveyWajir81.4
Percentage of children age 12–23 months who received IPV at any time before the surveyMandera47.9
Percentage of children age 12–23 months who received IPV at any time before the surveyMarsabit75.8
Percentage of children age 12–23 months who received IPV at any time before the surveyIsiolo85
Percentage of children age 12–23 months who received IPV at any time before the surveyMeru94
Percentage of children age 12–23 months who received IPV at any time before the surveyTharaka-Nithi98.7
Percentage of children age 12–23 months who received IPV at any time before the surveyEmbu96.4
Percentage of children age 12–23 months who received IPV at any time before the surveyKitui80.1
Percentage of children age 12–23 months who received IPV at any time before the surveyMachakos91.3
Percentage of children age 12–23 months who received IPV at any time before the surveyMakueni87
Percentage of children age 12–23 months who received IPV at any time before the surveyNyandarua88.3
Percentage of children age 12–23 months who received IPV at any time before the surveyNyeri81
Percentage of children age 12–23 months who received IPV at any time before the surveyKirinyaga97.9
Percentage of children age 12–23 months who received IPV at any time before the surveyMurang'a88.2
Percentage of children age 12–23 months who received IPV at any time before the surveyKiambu93.7
Percentage of children age 12–23 months who received IPV at any time before the surveyTurkana77
Percentage of children age 12–23 months who received IPV at any time before the surveyWest Pokot79.2
Percentage of children age 12–23 months who received IPV at any time before the surveySamburu77.3
Percentage of children age 12–23 months who received IPV at any time before the surveyTrans Nzoia92.8
Percentage of children age 12–23 months who received IPV at any time before the surveyUasin Gishu89.9
Percentage of children age 12–23 months who received IPV at any time before the surveyElgeyo/Marakwet86
Percentage of children age 12–23 months who received IPV at any time before the surveyNandi85.5
Percentage of children age 12–23 months who received IPV at any time before the surveyBaringo80.4
Percentage of children age 12–23 months who received IPV at any time before the surveyLaikipia86.7
Percentage of children age 12–23 months who received IPV at any time before the surveyNakuru86.5
Percentage of children age 12–23 months who received IPV at any time before the surveyNarok89.6
Percentage of children age 12–23 months who received IPV at any time before the surveyKajiado84.1
Percentage of children age 12–23 months who received IPV at any time before the surveyKericho83.4
Percentage of children age 12–23 months who received IPV at any time before the surveyBomet85
Percentage of children age 12–23 months who received IPV at any time before the surveyKakamega90.6
Percentage of children age 12–23 months who received IPV at any time before the surveyVihiga87.5
Percentage of children age 12–23 months who received IPV at any time before the surveyBungoma94
Percentage of children age 12–23 months who received IPV at any time before the surveyBusia95
Percentage of children age 12–23 months who received IPV at any time before the surveySiaya93.6
Percentage of children age 12–23 months who received IPV at any time before the surveyKisumu95.9
Percentage of children age 12–23 months who received IPV at any time before the surveyHoma Bay81
Percentage of children age 12–23 months who received IPV at any time before the surveyMigori97.7
Percentage of children age 12–23 months who received IPV at any time before the surveyKisii93.6
Percentage of children age 12–23 months who received IPV at any time before the surveyNyamira79
Percentage of children age 12–23 months who received IPV at any time before the surveyNairobi City84.4
Percentage of children age 12–23 months who received IPV at any time before the surveyTotal87.4
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMombasa99.1
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKwale95
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKilifi97.9
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTana River94.6
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyLamu97.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTaita/Taveta98.4
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyGarissa64
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyWajir94.6
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMandera63.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMarsabit92.7
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyIsiolo96.8
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMeru92.9
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTharaka-Nithi100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKitui91
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMachakos95.7
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNyeri94.7
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKirinyaga100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKiambu100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTurkana96.6
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyWest Pokot96.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveySamburu90.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTrans Nzoia100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyUasin Gishu95.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyElgeyo/Marakwet97.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNandi96.1
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyBaringo100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNarok97.5
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKajiado91.9
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKericho95.4
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyBomet98.2
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKakamega99.4
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyBungoma100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyBusia100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveySiaya99.3
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKisumu100
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyHoma Bay97.5
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyMigori99.6
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyKisii97.6
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNyamira97
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyNairobi City96.4
Percentage of children age 12–23 months who received Pneumococcal - 1 at any time before the surveyTotal96.5
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMombasa97.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKwale95
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKilifi92.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTana River90.6
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyLamu97.3
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTaita/Taveta94.1
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyGarissa61.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyWajir89.6
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMandera62.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMarsabit90.9
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyIsiolo93.2
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMeru89.2
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTharaka-Nithi98.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyEmbu100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKitui91
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMachakos95.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNyeri94.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKirinyaga100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKiambu100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTurkana90.9
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyWest Pokot88.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveySamburu88.5
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTrans Nzoia100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyUasin Gishu95.3
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyElgeyo/Marakwet94.8
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNandi96.1
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyBaringo100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyLaikipia96.1
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNarok97.5
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKajiado89.2
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKericho95.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyBomet98.2
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKakamega99.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyBungoma100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyBusia98
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveySiaya98.5
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKisumu100
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyHoma Bay95.6
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyMigori98.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyKisii95.5
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNyamira97
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyNairobi City96.4
Percentage of children age 12–23 months who received Pneumococcal - 2 at any time before the surveyTotal95.4
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMombasa95.6
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKwale92.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKilifi90.6
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTana River80.6
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyLamu84.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTaita/Taveta85.9
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyGarissa53.4
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyWajir77.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMandera52.9
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMarsabit86.9
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyIsiolo85.2
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMeru86.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTharaka-Nithi94.7
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyEmbu97.2
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKitui82.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMachakos95.7
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMakueni93.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNyandarua96.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNyeri84.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKirinyaga93.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKiambu95.9
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTurkana84.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyWest Pokot83.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveySamburu87.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTrans Nzoia89.4
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyUasin Gishu94.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyElgeyo/Marakwet85.6
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNandi94.2
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyBaringo95.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyLaikipia94.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNakuru95.6
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNarok94.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKajiado77.3
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKericho93.8
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyBomet95.4
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKakamega96.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyVihiga92.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyBungoma100
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyBusia92.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveySiaya91.4
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKisumu100
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyHoma Bay82.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyMigori94.1
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyKisii95.5
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNyamira93.9
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyNairobi City93.2
Percentage of children age 12–23 months who received Pneumococcal - 3 at any time before the surveyTotal91.2
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMombasa97.3
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKwale92.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKilifi96.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTana River92.8
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyLamu100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTaita/Taveta98.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyGarissa59.9
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyWajir92.5
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMandera61.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMarsabit89.1
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyIsiolo96.8
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMeru95.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTharaka-Nithi100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyEmbu96.8
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKitui90.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMachakos97.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMakueni97.8
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNyandarua100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNyeri91.5
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKirinyaga97.9
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKiambu96.7
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTurkana95.2
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyWest Pokot95.7
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveySamburu90.8
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTrans Nzoia97.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyUasin Gishu98.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyElgeyo/Marakwet95.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNandi100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyBaringo98.5
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNakuru99.1
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNarok94.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKajiado94.5
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKericho93.9
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKakamega98.7
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyBungoma100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyBusia100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveySiaya99.3
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKisumu100
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyHoma Bay96.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyMigori99.1
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyKisii97.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNyamira96.6
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyNairobi City96.4
Percentage of children age 12–23 months who received Rotavirus - 1 at any time before the surveyTotal96
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMombasa97.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKwale87.1
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKilifi94.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTana River81.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyLamu92.9
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTaita/Taveta94.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyGarissa54.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyWajir82.4
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMandera56.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMarsabit88.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyIsiolo93.1
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMeru85.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTharaka-Nithi93.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyEmbu93.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKitui88.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMachakos97.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMakueni95.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNyandarua98
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNyeri91.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKirinyaga90.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMurang'a96.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKiambu91.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTurkana84.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyWest Pokot85.1
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveySamburu86.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTrans Nzoia91.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyUasin Gishu89.4
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyElgeyo/Marakwet84.4
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNandi100
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyBaringo97
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyLaikipia97.1
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNakuru96.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNarok92.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKajiado90.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKericho92.7
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyBomet98.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKakamega94.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyBungoma100
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyBusia92.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveySiaya96
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKisumu96.1
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyHoma Bay88.3
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyMigori93.2
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyKisii95.5
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNyamira96.6
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyNairobi City95.8
Percentage of children age 12–23 months who received Rotavirus - 2 at any time before the surveyTotal92.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMombasa96.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKwale83.7
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKilifi95.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTana River83.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyLamu86.4
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTaita/Taveta96.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyGarissa42.7
Percentage of children age 12–23 months who received MR 1 at any time before the surveyWajir74.8
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMandera42.4
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMarsabit79.2
Percentage of children age 12–23 months who received MR 1 at any time before the surveyIsiolo78.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMeru97.4
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTharaka-Nithi96.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyEmbu93.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKitui83.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMachakos98
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMakueni93.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNyandarua99.2
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNyeri85.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKirinyaga97.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMurang'a95.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKiambu94
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTurkana68.8
Percentage of children age 12–23 months who received MR 1 at any time before the surveyWest Pokot62.2
Percentage of children age 12–23 months who received MR 1 at any time before the surveySamburu73.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTrans Nzoia93.9
Percentage of children age 12–23 months who received MR 1 at any time before the surveyUasin Gishu97.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyElgeyo/Marakwet88.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNandi93.9
Percentage of children age 12–23 months who received MR 1 at any time before the surveyBaringo88.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyLaikipia90.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNakuru92.4
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNarok82.9
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKajiado81.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKericho89.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyBomet92.7
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKakamega96
Percentage of children age 12–23 months who received MR 1 at any time before the surveyVihiga100
Percentage of children age 12–23 months who received MR 1 at any time before the surveyBungoma91.3
Percentage of children age 12–23 months who received MR 1 at any time before the surveyBusia90.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveySiaya94.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKisumu93.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyHoma Bay89
Percentage of children age 12–23 months who received MR 1 at any time before the surveyMigori93.1
Percentage of children age 12–23 months who received MR 1 at any time before the surveyKisii94.6
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNyamira92.5
Percentage of children age 12–23 months who received MR 1 at any time before the surveyNairobi City89.4
Percentage of children age 12–23 months who received MR 1 at any time before the surveyTotal89
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMombasa93.4
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKwale70.6
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKilifi89.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTana River73.5
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyLamu72.3
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTaita/Taveta84.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyGarissa22.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyWajir48.6
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMandera29.1
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMarsabit68.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyIsiolo69.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMeru81.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTharaka-Nithi94.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyEmbu90.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKitui72.5
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMachakos87.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMakueni82
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNyandarua94.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNyeri78.2
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKirinyaga87.3
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMurang'a95.3
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKiambu87.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTurkana60.1
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyWest Pokot48.6
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveySamburu65.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTrans Nzoia77.6
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyUasin Gishu89.5
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyElgeyo/Marakwet69.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNandi89.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyBaringo84.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyLaikipia83.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNakuru91.5
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNarok74.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKajiado61.3
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKericho84.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyBomet83.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKakamega90.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyVihiga95.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyBungoma88.2
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyBusia81.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveySiaya88.1
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKisumu78.9
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyHoma Bay75.8
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyMigori85.6
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyKisii89.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNyamira82.7
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyNairobi City77.2
Percentage of children age 12–23 months fully vaccinated (basic antigens)at any time before the surveyTotal80.1
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMombasa70.4
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKwale50.1
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKilifi62.5
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTana River39.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyLamu54.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTaita/Taveta65.4
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyGarissa16.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyWajir19.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMandera5.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMarsabit19.3
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyIsiolo37.1
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMeru57.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTharaka-Nithi82.1
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyEmbu75.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKitui49.4
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMachakos70.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMakueni65.5
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNyandarua70.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNyeri56.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKirinyaga70.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMurang'a66.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKiambu65.5
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTurkana29.3
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyWest Pokot10.7
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveySamburu27.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTrans Nzoia70.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyUasin Gishu49.3
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyElgeyo/Marakwet43.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNandi65
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyBaringo43.3
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyLaikipia55.5
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNakuru69.2
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNarok30.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKajiado43.5
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKericho47.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyBomet63.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKakamega72.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyVihiga70.1
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyBungoma65.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyBusia55.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveySiaya69.9
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKisumu62.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyHoma Bay52.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyMigori71.4
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyKisii81.6
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNyamira55.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyNairobi City45.8
Percentage of children age 12–23 months fully vaccinated (according to national schedule) at any time before the surveyTotal55.2
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMombasa0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKwale2
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKilifi0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTana River4.4
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyLamu0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTaita/Taveta1.6
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyGarissa35.1
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyWajir2.3
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMandera33.8
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMarsabit4.4
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyIsiolo1.5
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMeru0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTharaka-Nithi0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyEmbu0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKitui7
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMachakos0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMakueni2.2
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNyandarua0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNyeri5.3
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKirinyaga0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMurang'a3.3
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKiambu0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTurkana1.7
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyWest Pokot1.2
Percentage of children age 12–23 months who received No vaccinations at any time before the surveySamburu6.4
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTrans Nzoia0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyUasin Gishu1.4
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyElgeyo/Marakwet0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNandi0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyBaringo0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyLaikipia2.9
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNakuru0.9
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNarok1.3
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKajiado0.9
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKericho4.6
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyBomet1.5
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKakamega0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyVihiga0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyBungoma0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyBusia0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveySiaya0.7
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKisumu0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyHoma Bay0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyMigori0.4
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyKisii0.9
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNyamira0
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyNairobi City2.6
Percentage of children age 12–23 months who received No vaccinations at any time before the surveyTotal2.1
Percentage of children age 12–23 months Number of childrenMombasa75
Percentage of children age 12–23 months Number of childrenKwale62
Percentage of children age 12–23 months Number of childrenKilifi89
Percentage of children age 12–23 months Number of childrenTana River26
Percentage of children age 12–23 months Number of childrenLamu13
Percentage of children age 12–23 months Number of childrenTaita/Taveta28
Percentage of children age 12–23 months Number of childrenGarissa37
Percentage of children age 12–23 months Number of childrenWajir28
Percentage of children age 12–23 months Number of childrenMandera47
Percentage of children age 12–23 months Number of childrenMarsabit24
Percentage of children age 12–23 months Number of childrenIsiolo19
Percentage of children age 12–23 months Number of childrenMeru92
Percentage of children age 12–23 months Number of childrenTharaka-Nithi24
Percentage of children age 12–23 months Number of childrenEmbu30
Percentage of children age 12–23 months Number of childrenKitui80
Percentage of children age 12–23 months Number of childrenMachakos68
Percentage of children age 12–23 months Number of childrenMakueni63
Percentage of children age 12–23 months Number of childrenNyandarua43
Percentage of children age 12–23 months Number of childrenNyeri37
Percentage of children age 12–23 months Number of childrenKirinyaga44
Percentage of children age 12–23 months Number of childrenMurang'a51
Percentage of children age 12–23 months Number of childrenKiambu196
Percentage of children age 12–23 months Number of childrenTurkana66
Percentage of children age 12–23 months Number of childrenWest Pokot82
Percentage of children age 12–23 months Number of childrenSamburu27
Percentage of children age 12–23 months Number of childrenTrans Nzoia60
Percentage of children age 12–23 months Number of childrenUasin Gishu101
Percentage of children age 12–23 months Number of childrenElgeyo/Marakwet37
Percentage of children age 12–23 months Number of childrenNandi52
Percentage of children age 12–23 months Number of childrenBaringo45
Percentage of children age 12–23 months Number of childrenLaikipia36
Percentage of children age 12–23 months Number of childrenNakuru176
Percentage of children age 12–23 months Number of childrenNarok95
Percentage of children age 12–23 months Number of childrenKajiado87
Percentage of children age 12–23 months Number of childrenKericho75
Percentage of children age 12–23 months Number of childrenBomet66
Percentage of children age 12–23 months Number of childrenKakamega147
Percentage of children age 12–23 months Number of childrenVihiga30
Percentage of children age 12–23 months Number of childrenBungoma118
Percentage of children age 12–23 months Number of childrenBusia52
Percentage of children age 12–23 months Number of childrenSiaya58
Percentage of children age 12–23 months Number of childrenKisumu85
Percentage of children age 12–23 months Number of childrenHoma Bay63
Percentage of children age 12–23 months Number of childrenMigori89
Percentage of children age 12–23 months Number of childrenKisii71
Percentage of children age 12–23 months Number of childrenNyamira24
Percentage of children age 12–23 months Number of childrenNairobi City409
Percentage of children age 12–23 months Number of childrenTotal3324
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMombasa66.1
Percentage of children age 24–35 months who received MR 2 at any time before the surveyKwale73.3
Percentage of children age 24–35 months who received MR 2 at any time before the surveyKilifi66.8
Percentage of children age 24–35 months who received MR 2 at any time before the surveyTana River53.7
Percentage of children age 24–35 months who received MR 2 at any time before the surveyLamu49.6
Percentage of children age 24–35 months who received MR 2 at any time before the surveyTaita/Taveta59.2
Percentage of children age 24–35 months who received MR 2 at any time before the surveyGarissa9.7
Percentage of children age 24–35 months who received MR 2 at any time before the surveyWajir21.6
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMandera23.2
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMarsabit46.7
Percentage of children age 24–35 months who received MR 2 at any time before the surveyIsiolo42.2
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMeru78.5
Percentage of children age 24–35 months who received MR 2 at any time before the surveyTharaka-Nithi73.5
Percentage of children age 24–35 months who received MR 2 at any time before the surveyEmbu82
Percentage of children age 24–35 months who received MR 2 at any time before the surveyKitui60
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMachakos85.8
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMakueni93.9
Percentage of children age 24–35 months who received MR 2 at any time before the surveyNyandarua80.8
Percentage of children age 24–35 months who received MR 2 at any time before the surveyNyeri75.3
Percentage of children age 24–35 months who received MR 2 at any time before the surveyKirinyaga89
Percentage of children age 24–35 months who received MR 2 at any time before the surveyMurang'a90.8
Percentage of children age 24–35 months who received MR 2 at any time before the surveyKiambu68.9
Percentage of children age 24–35 months who received MR 2 at any time before the surveyTurkana48.5
Percentage of children age 24–35 months who received MR 2 at any time before the surveyWest Pokot23.3