The Zambia Access to ACT Initiative Survey 2009
Zambia, 2009
Created on
Oct 13, 2011
Last modified
Mar 29, 2019
Page views
152636
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Village B (c5_10bx)
Data file: CA0
Overview
Valid:
170
Invalid:
21
Type:
Discrete
Decimal:
0
Start:
442
End:
444
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
About how many people attend?
Categories
| Value | Category |
|---|---|
| 1 | ANDILASI |
| 2 | BANGALA |
| 3 | BARTON |
| 4 | BERNARD |
| 5 | BUNGALA |
| 6 | CHALEMELA |
| 7 | CHAMBA |
| 8 | CHAMTHOMBA |
| 9 | CHASKA |
| 10 | CHIBISA |
| 11 | CHIKAKO |
| 12 | CHIKAPA |
| 13 | CHILUKUSHA |
| 14 | CHILUNDWE |
| 15 | CHIMBA |
| 16 | CHIMSORO |
| 17 | CHIMUTAMBO |
| 18 | CHIMWANDO |
| 19 | CHIMWENDO |
| 20 | CHINGOMA |
| 21 | CHIPALA |
| 22 | CHIPANGALI |
| 23 | CHIPUZI |
| 24 | CHISALE |
| 25 | CHISANGULA |
| 26 | CHISEMBE |
| 27 | CHISONGE |
| 28 | CHITA |
| 29 | CHIWENUNKA |
| 30 | CHIWENUNKHA |
| 31 | CHIZIZI |
| 32 | CHONGANYA |
| 33 | CHOZOBE |
| 34 | CHUPUTULA |
| 35 | D97 |
| 36 | DAMASO |
| 37 | DANIEL |
| 38 | FARM NO 5 |
| 39 | GIYA |
| 40 | ILAWA |
| 41 | JAMES |
| 42 | JEULANI |
| 43 | JOWELI |
| 44 | KABANGE |
| 45 | KABILA |
| 46 | KABOSHA |
| 47 | KABULU |
| 48 | KABUSWE |
| 49 | KACHELE |
| 50 | KACHINDA |
| 51 | KACHIPAPA |
| 52 | KACULE |
| 53 | KALANGULIKA |
| 54 | KALEWA |
| 55 | KALIKONGWA 2 |
| 56 | KALIMASENGA |
| 57 | KALITEMA |
| 58 | KALONGA |
| 59 | KALONGAMAMBWE |
| 60 | KALUNGA |
| 61 | KAMISA FARMS |
| 62 | KAMPAMBA |
| 63 | KAMSEKELA 2 |
| 64 | KAMUNA |
| 65 | KANABEZA |
| 66 | KANAISI |
| 67 | KANENA |
| 68 | KANUNSHA |
| 69 | KAOMA |
| 70 | KAPIMPA |
| 71 | KAPOMBO |
| 72 | KAPOTWE |
| 73 | KASHIBA |
| 74 | KASHINGWA |
| 75 | KASINGILIWE |
| 76 | KASUKUTU |
| 77 | KASULUKA |
| 78 | KATANDULA |
| 79 | KATENTE |
| 80 | KAVUWO |
| 81 | KAYULA |
| 82 | LAMBWE |
| 83 | LAVU |
| 84 | LAZARO |
| 85 | LEWA |
| 86 | LOBOLA |
| 87 | LUANGWA |
| 88 | LUPAFYA |
| 89 | LUPALA |
| 90 | LUPANDE |
| 91 | LUYEYE |
| 92 | MACHELENTA |
| 93 | MAINSA |
| 94 | MAKUNIKA |
| 95 | MALAMA |
| 96 | MALATA |
| 97 | MALIPA |
| 98 | MALUBA |
| 99 | MAMBO |
| 100 | MATUMBA |
| 101 | MATUMBU |
| 102 | MAYAWA |
| 103 | MAZILA |
| 104 | MBALANI |
| 105 | MGALILA |
| 106 | MKUZI |
| 107 | MLOPWE |
| 108 | MOFFAT |
| 109 | MPHAMBA |
| 110 | MSWAZI |
| 111 | MTEKESA |
| 112 | MUBENDE |
| 113 | MUKANGA |
| 114 | MUKUNTO |
| 115 | MULEFU |
| 116 | MUNA |
| 117 | MUNAKA |
| 118 | MUNGWALALA |
| 119 | MUNYUKWA |
| 120 | MUPOSHI |
| 121 | MUSALANGO |
| 122 | MUSONA |
| 123 | MUTALE LAPUKENI |
| 124 | MWAMBA |
| 125 | MWENDAKUZULU |
| 126 | MWEWA |
| 127 | MWILIZI |
| 128 | MZYEBA |
| 129 | NAKULU KATONGO |
| 130 | NGALANDE |
| 131 | NGANJO |
| 132 | NJAKUKI |
| 133 | NKWATA |
| 134 | NKWETO |
| 135 | NSANDO |
| 136 | NSEMBA |
| 137 | NTHILAKUBILI |
| 138 | NYIMBA |
| 139 | PINDA |
| 140 | QWATULA |
| 141 | SELE |
| 142 | SHEMU |
| 143 | SHIBESA |
| 144 | SILIA |
| 145 | SILOZI |
| 146 | SINGUNI |
| 147 | SMART |
| 148 | SMOKO |
| 149 | SOFT KATONGO |
| 150 | SUMAIPI |
| 151 | TIKONDANE |
| 152 | VILI |
| 153 | VUMBWI CENTER |
| 154 | WELELE |
| 155 | WINBERG |
| 156 | YELESANI |
| 157 | YUDA |
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.