Ghana Core Welfare Indicators Questionnaire Survey - 2003
Ghana, 2003
Get Microdata
Reference ID
GHA-GSS-CWIQ II -2003-v2.1
Producer(s)
Ghana statistical service
Collections
Created on
Feb 20, 2009
Last modified
Mar 14, 2016
Page views
1002150
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5957
District name (lganame)
Data file: Child data- CWIQ 2003
Overview
Valid:
23879
Invalid:
0
Type:
Discrete
Width:
15
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Ablekuma | 152 |
0.6%
|
|
| Abura/Asebu/Kwa | 200 |
0.8%
|
|
| Adansi East | 197 |
0.8%
|
|
| Adansi West | 134 |
0.6%
|
|
| Afigya Sekyere | 217 |
0.9%
|
|
| Afigya/Kwabere | 229 |
1%
|
|
| Afram Plains | 216 |
0.9%
|
|
| Agona | 109 |
0.5%
|
|
| Ahafo-Ano North | 225 |
0.9%
|
|
| Ahafo-Ano South | 205 |
0.9%
|
|
| Ahanta West | 165 |
0.7%
|
|
| Ajumako/Enyan/E | 160 |
0.7%
|
|
| Akatsi | 144 |
0.6%
|
|
| Akuapim North | 203 |
0.9%
|
|
| Akuapim South | 137 |
0.6%
|
|
| Amansie East | 227 |
1%
|
|
| Amansie West | 237 |
1%
|
|
| Aowin-Suaman | 206 |
0.9%
|
|
| Ashanti Akim No | 245 |
1%
|
|
| Ashanti Akim So | 262 |
1.1%
|
|
| Ashiedu Keteke | 64 |
0.3%
|
|
| Asikuma/Odoben/ | 129 |
0.5%
|
|
| Asokwa | 220 |
0.9%
|
|
| Assin | 203 |
0.9%
|
|
| Asunafo | 269 |
1.1%
|
|
| Asuogyaman | 183 |
0.8%
|
|
| Asutifi | 237 |
1%
|
|
| Atebubu | 284 |
1.2%
|
|
| Atwima | 276 |
1.2%
|
|
| Ayawaso | 81 |
0.3%
|
|
| Bantama | 151 |
0.6%
|
|
| Bawku East | 239 |
1%
|
|
| Bawku West | 212 |
0.9%
|
|
| Berekum | 131 |
0.5%
|
|
| Bibiani/Anhwias | 86 |
0.4%
|
|
| Birim North | 186 |
0.8%
|
|
| Birim South | 134 |
0.6%
|
|
| Bole | 348 |
1.5%
|
|
| Bolgatanga | 196 |
0.8%
|
|
| Bongo | 193 |
0.8%
|
|
| Bosomtwe/Atiwma | 198 |
0.8%
|
|
| Builsa | 211 |
0.9%
|
|
| Cape Coast | 131 |
0.5%
|
|
| Chereponi-Sabob | 511 |
2.1%
|
|
| Dangbe East | 128 |
0.5%
|
|
| Dangbe West | 146 |
0.6%
|
|
| Dormaa | 119 |
0.5%
|
|
| East Akim | 146 |
0.6%
|
|
| East Gonja | 398 |
1.7%
|
|
| East Mamprusi | 349 |
1.5%
|
|
| Eastern Dagomba | 341 |
1.4%
|
|
| Ejura/Sekyeredu | 276 |
1.2%
|
|
| Ejusu/Juaben | 202 |
0.8%
|
|
| Ewutu/Efutu/Sen | 141 |
0.6%
|
|
| Fanteakwa | 209 |
0.9%
|
|
| Ga | 140 |
0.6%
|
|
| Gomoa | 172 |
0.7%
|
|
| Gushiegu-Karaga | 499 |
2.1%
|
|
| Ho | 188 |
0.8%
|
|
| Hohoe | 97 |
0.4%
|
|
| Jaman | 177 |
0.7%
|
|
| Jasikan | 224 |
0.9%
|
|
| Jirapa-Lambussi | 194 |
0.8%
|
|
| Jomoro | 158 |
0.7%
|
|
| Juabeso-Bia | 174 |
0.7%
|
|
| KEEA | 170 |
0.7%
|
|
| Kadjebi | 212 |
0.9%
|
|
| Kassena-Nankani | 140 |
0.6%
|
|
| Keta | 148 |
0.6%
|
|
| Ketu | 161 |
0.7%
|
|
| Kintampo | 152 |
0.6%
|
|
| Kpando | 102 |
0.4%
|
|
| Kpeshie | 67 |
0.3%
|
|
| Krachi | 272 |
1.1%
|
|
| Kwaebibirem | 203 |
0.9%
|
|
| Kwahu South | 166 |
0.7%
|
|
| Lawra | 169 |
0.7%
|
|
| Manhyia | 119 |
0.5%
|
|
| Manya Krobo | 215 |
0.9%
|
|
| Mfantsiman | 221 |
0.9%
|
|
| Mpohor-Wassa ea | 197 |
0.8%
|
|
| Nadowli | 198 |
0.8%
|
|
| Nanumba | 428 |
1.8%
|
|
| New Juaben/Kofo | 105 |
0.4%
|
|
| Nkoranza | 150 |
0.6%
|
|
| Nkwanta | 371 |
1.6%
|
|
| North Tongu | 242 |
1%
|
|
| Nzema East | 214 |
0.9%
|
|
| Offinso | 242 |
1%
|
|
| Okaikwei | 125 |
0.5%
|
|
| Osu Klottey | 91 |
0.4%
|
|
| Savelugu-Nanton | 318 |
1.3%
|
|
| Sefwi Wiawso | 163 |
0.7%
|
|
| Sekondi | 116 |
0.5%
|
|
| Sekyere East | 186 |
0.8%
|
|
| Sekyere West | 200 |
0.8%
|
|
| Sene | 240 |
1%
|
|
| Shama | 160 |
0.7%
|
|
| Sissala | 271 |
1.1%
|
|
| South Tongu | 196 |
0.8%
|
|
| Subin | 197 |
0.8%
|
|
| Suhum/Kraboa/Co | 204 |
0.9%
|
|
| Sunyani | 143 |
0.6%
|
|
| Takoradi | 200 |
0.8%
|
|
| Tamale | 92 |
0.4%
|
|
| Tanoso | 196 |
0.8%
|
|
| Techiman | 148 |
0.6%
|
|
| Tema East | 92 |
0.4%
|
|
| Tema West | 78 |
0.3%
|
|
| Tolon-Kumbungu | 320 |
1.3%
|
|
| Twifo/Heman/Low | 209 |
0.9%
|
|
| Upper Denkyira | 150 |
0.6%
|
|
| Wa | 223 |
0.9%
|
|
| Wassa Amenfi | 206 |
0.9%
|
|
| Wassa West | 100 |
0.4%
|
|
| Wenchi | 175 |
0.7%
|
|
| West Akim | 123 |
0.5%
|
|
| West Gonja | 119 |
0.5%
|
|
| West Manprusi | 288 |
1.2%
|
|
| Yilo Krobo | 223 |
0.9%
|
|
| Zabzugu-Tatale | 442 |
1.9%
|
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.