The Zambia Access to ACT Initiative Survey 2009
Zambia, 2009
Created on
Oct 13, 2011
Last modified
Mar 29, 2019
Page views
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Village A (c5_10ax)
Data file: CA0
Overview
Valid:
182
Invalid:
9
Type:
Discrete
Decimal:
0
Start:
439
End:
441
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
About how many people attend?
Categories
| Value | Category |
|---|---|
| 1 | BALUWA |
| 2 | BIKOKO |
| 3 | BULANDA |
| 4 | BWEMBYA |
| 5 | CHAKOBE |
| 6 | CHALUNGA |
| 7 | CHANDA MUKULU |
| 8 | CHANIDA |
| 9 | CHAOLEKE |
| 10 | CHASAYA |
| 11 | CHEMBE |
| 12 | CHETEKA |
| 13 | CHIBA |
| 14 | CHIBESA KUNDA |
| 15 | CHIBUMBU |
| 16 | CHIBUNSE |
| 17 | CHIFUNGWE |
| 18 | CHIFYANKA |
| 19 | CHIKALAMU |
| 20 | CHIKASA |
| 21 | CHIKAZIKA |
| 22 | CHIKOMA 1 |
| 23 | CHIKOMA 2 |
| 24 | CHIKOMPA |
| 25 | CHIKWATULA |
| 26 | CHILANI MBONI |
| 27 | CHILENGE |
| 28 | CHILOLO |
| 29 | CHILUFYA |
| 30 | CHILUMBI |
| 31 | CHIMANSA |
| 32 | CHIMBA BANTHU |
| 33 | CHIMWAKASA |
| 34 | CHIMWENDO |
| 35 | CHINKUMBA |
| 36 | CHINYANTA |
| 37 | CHIPALA |
| 38 | CHIPEPO |
| 39 | CHIPOMBO |
| 40 | CHIPOMPO |
| 41 | CHIPONDO |
| 42 | CHIPOTA |
| 43 | CHISANGA |
| 44 | CHISULO |
| 45 | CHISWA |
| 46 | CHITAMBI |
| 47 | CHITUZU |
| 48 | CHIUTIKA |
| 49 | CHIWAULA |
| 50 | CHIZEMBE |
| 51 | CHSHETA |
| 52 | D98 EAST |
| 53 | DZUMA |
| 54 | FANDANI |
| 55 | FITALIYANO |
| 56 | FUNWELL |
| 57 | GALUWAO |
| 58 | GEZE |
| 59 | GUMA |
| 60 | JEKE |
| 61 | JEREMIAH |
| 62 | JOHN CHABALA |
| 63 | KABILO |
| 64 | KABUNDA FIELA |
| 65 | KAFULUKUTA /KAMPADA |
| 66 | KALASA |
| 67 | KALELA |
| 68 | KALIKONGWA |
| 69 | KALIKONGWA 1 |
| 70 | KALONDE |
| 71 | KALWAN |
| 72 | KAMBANYUNGU |
| 73 | KAMWALA |
| 74 | KANJA |
| 75 | KANTIMBA |
| 76 | KANYELELE |
| 77 | KANYEMENE |
| 78 | KAPESA |
| 79 | KAPETA MENDO |
| 80 | KAPILINGIZYA |
| 81 | KAPOTWE |
| 82 | KAREKARELA |
| 83 | KASANSAMULA |
| 84 | KASELA |
| 85 | KASUBA |
| 86 | KASWEKA |
| 87 | KATANGALIKA |
| 88 | KAWAMA |
| 89 | KAZEMBE |
| 90 | KHULIKA |
| 91 | KHUMAKHUMA |
| 92 | KONJA |
| 93 | KWESHA |
| 94 | KWINYA |
| 95 | LIKAWE 2 |
| 96 | LINA |
| 97 | LINGILILANI |
| 98 | LOCATION |
| 99 | LUKASHYA TRADES |
| 100 | LUKUMANE |
| 101 | LUMANGWA |
| 102 | MAHARABI |
| 103 | MAIPEMBE |
| 104 | MALAMA |
| 105 | MALEBE |
| 106 | MAMMBALA |
| 107 | MANGA |
| 108 | MBENJE |
| 109 | MBUZI |
| 110 | MFUNDI |
| 111 | MNWABA |
| 112 | MOFU |
| 113 | MPUNGALUME |
| 114 | MTHALIMANJA |
| 115 | MTILIZI |
| 116 | MTSUKO |
| 117 | MUCHENJEZA |
| 118 | MUKUNGWE |
| 119 | MULANGA |
| 120 | MULILANSOLO |
| 121 | MUNWA |
| 122 | MUPOROKOSO |
| 123 | MUSANGU SOLO |
| 124 | MUSHISHA |
| 125 | MUSONDA MAKUMBI |
| 126 | MUSUKU |
| 127 | MUTALE MUNKONGE |
| 128 | MUTIPULA |
| 129 | MWAFWE |
| 130 | MWAKAMEMUHI |
| 131 | MWALALA |
| 132 | MWALE |
| 133 | MWANSE MPHANGWE |
| 134 | MWANYA |
| 135 | MWANZILENI |
| 136 | MWENGE |
| 137 | MWEWA |
| 138 | MWIMBA |
| 139 | MWTENDERE |
| 140 | MZIMBU |
| 141 | NCHELE |
| 142 | NEWTOWN |
| 143 | NGANJO |
| 144 | NKHANYU |
| 145 | NKHULUNGALE |
| 146 | NKONGA |
| 147 | NKONINSUMPU |
| 148 | NO VILLAGERS |
| 149 | NTHONKHO |
| 150 | NYALUBANGA |
| 151 | NZERU |
| 152 | SAKWI |
| 153 | SHAWA |
| 154 | SHIMULAMBA |
| 155 | SICHELE |
| 156 | SITIYA |
| 157 | SIWAZINGWA |
| 158 | TAFELANSONI |
| 159 | TAIPALELO |
| 160 | TENTHEMA |
| 161 | TIBI |
| 162 | TOM GWAZA |
| 163 | USIMBE |
| 164 | VWELEKETE |
| 165 | WILSON |
| 166 | YOHANE |
| 167 | ZOKWE |
| 168 | ZOOLE |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
RECORD NAME AND NUMBER OF PEOPLE FOR EACH VILLAGE.