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 C (c5_10cx)
Data file: CA0
Overview
Valid:
148
Invalid:
43
Type:
Discrete
Decimal:
0
Start:
445
End:
447
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
About how many people attend?
Categories
| Value | Category |
|---|---|
| 1 | AGULISA |
| 2 | BELLO |
| 3 | BOLI |
| 4 | CHAKALE |
| 5 | CHAKUNTA |
| 6 | CHAMBEZI |
| 7 | CHANDOLO |
| 8 | CHAPITAMBILI |
| 9 | CHEMBE |
| 10 | CHIBINGENI |
| 11 | CHIFUMBE |
| 12 | CHIFUTWE |
| 13 | CHIKWEKWE |
| 14 | CHILANGU |
| 15 | CHIMANANSENGA |
| 16 | CHIMATE |
| 17 | CHINKOLI |
| 18 | CHIPALA |
| 19 | CHIPELANI |
| 20 | CHISAMA |
| 21 | CHISANI |
| 22 | CHISHISHA |
| 23 | CHISI |
| 24 | CHITENSHI |
| 25 | CHITSENDE |
| 26 | CHITUNDU |
| 27 | CHIWANGA |
| 28 | CHIWOYELA |
| 29 | CHIWOYELE |
| 30 | CHOLOWA |
| 31 | CHULU |
| 32 | CHURE |
| 33 | D98WEST |
| 34 | DRIVER |
| 35 | DUNDU |
| 36 | DUNGULUNGU |
| 37 | ELUHAGENI |
| 38 | FARM NO 4 |
| 39 | GELE |
| 40 | GOBEDE |
| 41 | ILIMBA |
| 42 | ISAAC |
| 43 | JAMES |
| 44 | KACAJE |
| 45 | KACHEMBELE |
| 46 | KAJYONELE |
| 47 | KALABE |
| 48 | KALEBWE |
| 49 | KALIMUJOLI |
| 50 | KALIVE |
| 51 | KAMFWA |
| 52 | KAMIMA |
| 53 | KAMTOLO |
| 54 | KANDIME |
| 55 | KANJA |
| 56 | KANKHOMBA |
| 57 | KAPENGWE |
| 58 | KAPOTWE |
| 59 | KAPUPULA |
| 60 | KASALU |
| 61 | KASELA |
| 62 | KATHABWALIKA |
| 63 | KATONGODOLA |
| 64 | KATSACHI |
| 65 | KATUPI |
| 66 | KATUTA |
| 67 | KHAIPA |
| 68 | KHOKA /CHIMTENGO |
| 69 | KHOKA /CHIMUTENGO |
| 70 | KHUMBA FRAM |
| 71 | KOMBE |
| 72 | KONKOSENI |
| 73 | LONGWE |
| 74 | LOTO |
| 75 | LOZIA |
| 76 | LUSUNTHA |
| 77 | LYAWA |
| 78 | LYOKI |
| 79 | MALANGWA |
| 80 | MANDONA |
| 81 | MANOTA |
| 82 | MANYONI |
| 83 | MATALALA |
| 84 | MAYEMBE |
| 85 | MAZIRA |
| 86 | MAZUMO |
| 87 | MBUKUTA |
| 88 | MDOLOZI |
| 89 | MNGWALALA |
| 90 | MOLWANI |
| 91 | MSASU |
| 92 | MSAZULWA |
| 93 | MTONDO CHIGOMA |
| 94 | MUFWAYA |
| 95 | MUGABE |
| 96 | MUGAGA |
| 97 | MUKABALA |
| 98 | MUKOMANSALA |
| 99 | MUKUMBA |
| 100 | MULUNGAVYELA |
| 101 | MUNYOLOWANDA |
| 102 | MUSONKO |
| 103 | MUTAMINA |
| 104 | MUTIMA |
| 105 | MUWA |
| 106 | MUZEBE |
| 107 | MWABA |
| 108 | MWILICHINJI |
| 109 | MYPAMBE |
| 110 | NA KAPAMPA CHALES |
| 111 | NAKAPAMBA |
| 112 | NGULUBE |
| 113 | NKULA NGOMBE |
| 114 | NSEMIWE |
| 115 | NSHULA |
| 116 | NSOFU |
| 117 | NYONGO |
| 118 | PANDOKA |
| 119 | PENDWE |
| 120 | PONGA |
| 121 | PUTU |
| 122 | SANKA |
| 123 | SHASAWA |
| 124 | SHILUNOA |
| 125 | SIMUKANDA |
| 126 | SIZALA |
| 127 | TENTHANI |
| 128 | TONDO |
| 129 | TSENJE |
| 130 | VILIMUMBA |
| 131 | VUMBWI PARIRISH |
| 132 | YEMBA |
| 133 | ZENGWA |
| 134 | ZIMBULO |
| 135 | ZOMBE |
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.