World Health Survey 2003
Zimbabwe, 2003
Get Microdata
Reference ID
ZWE_2003_WHS_v01_M
Producer(s)
World Health Organization (WHO)
Created on
Oct 17, 2013
Last modified
Oct 17, 2013
Page views
106367
Downloads
35
Background (q1011)
Data file: WHS-Zimbabwe_F5
Overview
Valid:
4031
Invalid:
0
Type:
Discrete
Start:
79
End:
86
Width:
8
Range:
-
Format:
character
Questions and instructions
Question pretext
Respondent’s Socio Demographic Characteristics
I would like to start by asking you some background questions before asking you questions on your health. This information is confidential and will only be used for research purposes.
I would like to start by asking you some background questions before asking you questions on your health. This information is confidential and will only be used for research purposes.
Literal question
What is your [ethnic group/ racial group/ cultural subgroup/ others] background?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 8 |
0.2%
|
|
| 16 | 1 |
0%
|
|
| 2 | 3 |
0.1%
|
|
| 3 | 3 |
0.1%
|
|
| 5 | 4 |
0.1%
|
|
| 7 | 4 |
0.1%
|
|
| 8 | 3 |
0.1%
|
|
| 88 | 6 |
0.1%
|
|
| AFRICAN | 2 |
0%
|
|
| AKRANGA | 1 |
0%
|
|
| AMNYIKA | 1 |
0%
|
|
| ANGLICAN | 1 |
0%
|
|
| ANGONI | 1 |
0%
|
|
| BARWE | 1 |
0%
|
|
| BEMBA | 1 |
0%
|
|
| BOCHA | 1 |
0%
|
|
| BUDJA | 1 |
0%
|
|
| BUDYA | 41 |
1%
|
|
| BUJA | 24 |
0.6%
|
|
| BUNJA | 2 |
0%
|
|
| CHANGANA | 1 |
0%
|
|
| CHANGANI | 5 |
0.1%
|
|
| CHAWA | 3 |
0.1%
|
|
| CHEVA | 1 |
0%
|
|
| CHEWA | 32 |
0.8%
|
|
| CHIKARAN | 2 |
0%
|
|
| CHIKUNDA | 12 |
0.3%
|
|
| CHINDAU | 1 |
0%
|
|
| CHITOKO | 1 |
0%
|
|
| COLOURED | 9 |
0.2%
|
|
| DON`T KN | 2 |
0%
|
|
| DUMA | 1 |
0%
|
|
| ENGLISH | 1 |
0%
|
|
| EUROPEAN | 3 |
0.1%
|
|
| FENGU | 1 |
0%
|
|
| GOBELA | 1 |
0%
|
|
| GOMANI ( | 1 |
0%
|
|
| INDIAN | 1 |
0%
|
|
| JINDWI | 1 |
0%
|
|
| KALALNGA | 1 |
0%
|
|
| KALANGA | 47 |
1.2%
|
|
| KAR4ANGA | 1 |
0%
|
|
| KARANDA | 1 |
0%
|
|
| KARANGA | 942 |
23.4%
|
|
| KARANGAA | 1 |
0%
|
|
| KHALANGA | 5 |
0.1%
|
|
| KOPREKOR | 1 |
0%
|
|
| KOREKOR | 1 |
0%
|
|
| KOREKORE | 222 |
5.5%
|
|
| KORELORE | 1 |
0%
|
|
| LILIMA | 1 |
0%
|
|
| LOZI | 1 |
0%
|
|
| LOZWI | 12 |
0.3%
|
|
| MABUDYA | 2 |
0%
|
|
| MAHUNGWE | 1 |
0%
|
|
| MAKARANG | 2 |
0%
|
|
| MAKOREKO | 3 |
0.1%
|
|
| MALAWEAN | 1 |
0%
|
|
| MALAWI | 12 |
0.3%
|
|
| MALAWIAN | 58 |
1.4%
|
|
| MAN'ANJA | 1 |
0%
|
|
| MANIKA | 1 |
0%
|
|
| MANYI9KA | 1 |
0%
|
|
| MANYIKA | 203 |
5%
|
|
| MASHONA | 1 |
0%
|
|
| MATOKO | 1 |
0%
|
|
| MAUNGWE | 29 |
0.7%
|
|
| MAWUNGWE | 2 |
0%
|
|
| MAZAMBIQ | 1 |
0%
|
|
| MAZEZURU | 4 |
0.1%
|
|
| MAZIZORO | 1 |
0%
|
|
| MEZEZURU | 1 |
0%
|
|
| MKOKO | 1 |
0%
|
|
| MLEYA | 2 |
0%
|
|
| MLOZWI | 1 |
0%
|
|
| MOBUDYA | 1 |
0%
|
|
| MOKOREKO | 1 |
0%
|
|
| MOZAMBIC | 7 |
0.2%
|
|
| MOZAMBIQ | 15 |
0.4%
|
|
| MSUTHU | 1 |
0%
|
|
| MSWAZI | 1 |
0%
|
|
| MTAVARA | 1 |
0%
|
|
| MTOKO | 3 |
0.1%
|
|
| MUBADYA | 1 |
0%
|
|
| MUBOCHA | 6 |
0.1%
|
|
| MUBUDYA | 32 |
0.8%
|
|
| MUBUDYO | 1 |
0%
|
|
| MUBUJA | 8 |
0.2%
|
|
| MUCHAWA | 5 |
0.1%
|
|
| MUCHENA | 1 |
0%
|
|
| MUCHEWA | 6 |
0.1%
|
|
| MUCHIKUN | 8 |
0.2%
|
|
| MUDUDYA | 1 |
0%
|
|
| MUGOMANI | 1 |
0%
|
|
| MUGOVERA | 1 |
0%
|
|
| MUHERA | 1 |
0%
|
|
| MUHWESA | 2 |
0%
|
|
| MUKARANG | 35 |
0.9%
|
|
| MUKOREKO | 29 |
0.7%
|
|
| MUKORKOR | 1 |
0%
|
|
| MUMANYIK | 5 |
0.1%
|
|
| MUMAUNGW | 2 |
0%
|
|
| MUMBIRE | 1 |
0%
|
|
| MUNDAU | 67 |
1.7%
|
|
| MUNGONI | 2 |
0%
|
|
| MUNYANJA | 3 |
0.1%
|
|
| MUPFUNGW | 6 |
0.1%
|
|
| MUPUTUKE | 1 |
0%
|
|
| MUREMBA | 1 |
0%
|
|
| MUSENGA | 1 |
0%
|
|
| MUSENGWE | 1 |
0%
|
|
| MUSEWA | 2 |
0%
|
|
| MUSHAWAS | 1 |
0%
|
|
| MUSHONA | 3 |
0.1%
|
|
| MUSORI F | 1 |
0%
|
|
| MUSUTHU | 1 |
0%
|
|
| MUTAVARA | 2 |
0%
|
|
| MUTOKO | 40 |
1%
|
|
| MUTOKO-B | 1 |
0%
|
|
| MUTSHANG | 1 |
0%
|
|
| MUUNGWE | 9 |
0.2%
|
|
| MUZEMBA | 1 |
0%
|
|
| MUZEZURU | 87 |
2.2%
|
|
| MYAYI | 1 |
0%
|
|
| NAMBIAN | 1 |
0%
|
|
| NAMBIYA | 1 |
0%
|
|
| NAMBYA | 4 |
0.1%
|
|
| NANZWA | 1 |
0%
|
|
| NDAMERA | 1 |
0%
|
|
| NDAU | 205 |
5.1%
|
|
| NDEB ELE | 1 |
0%
|
|
| NDEBELE | 376 |
9.3%
|
|
| NDERUKA | 1 |
0%
|
|
| NGONI | 2 |
0%
|
|
| NGUNI | 4 |
0.1%
|
|
| NMNYAYI | 1 |
0%
|
|
| NYANJA | 48 |
1.2%
|
|
| NYANJA/Z | 1 |
0%
|
|
| PFUMBI | 2 |
0%
|
|
| PFUNGWE | 2 |
0%
|
|
| PORTUGES | 1 |
0%
|
|
| PORTUGUE | 1 |
0%
|
|
| REMBA | 1 |
0%
|
|
| ROZVI | 3 |
0.1%
|
|
| ROZWI | 4 |
0.1%
|
|
| SAMANYIK | 3 |
0.1%
|
|
| SENA | 6 |
0.1%
|
|
| SENGA | 3 |
0.1%
|
|
| SENGA /Z | 1 |
0%
|
|
| SESURU | 1 |
0%
|
|
| SHANGANI | 89 |
2.2%
|
|
| SHANGWE | 13 |
0.3%
|
|
| SHAWASHA | 2 |
0%
|
|
| SHAZI | 1 |
0%
|
|
| SHNGANI | 2 |
0%
|
|
| SHONA | 119 |
3%
|
|
| SOTHO | 9 |
0.2%
|
|
| SOUTH AF | 1 |
0%
|
|
| SPTHO | 1 |
0%
|
|
| SUTHU | 33 |
0.8%
|
|
| SUTU | 1 |
0%
|
|
| SWAZI | 4 |
0.1%
|
|
| TALAUNDA | 1 |
0%
|
|
| TANZANIA | 1 |
0%
|
|
| TAVARA | 1 |
0%
|
|
| TAWARA | 2 |
0%
|
|
| TOKO | 3 |
0.1%
|
|
| TOKU | 1 |
0%
|
|
| TONGA | 51 |
1.3%
|
|
| TSANGANI | 1 |
0%
|
|
| TSENGA | 2 |
0%
|
|
| TSENGA ( | 1 |
0%
|
|
| TSHANGAN | 14 |
0.3%
|
|
| TSONGA | 1 |
0%
|
|
| TSUNGA | 1 |
0%
|
|
| TSWANA | 2 |
0%
|
|
| TUMBUKA | 1 |
0%
|
|
| VEMBA | 2 |
0%
|
|
| VENDA | 28 |
0.7%
|
|
| VHENDA | 1 |
0%
|
|
| VHITORI | 9 |
0.2%
|
|
| VITORI | 6 |
0.1%
|
|
| WALAWIAN | 1 |
0%
|
|
| WESA | 1 |
0%
|
|
| XHOSA | 5 |
0.1%
|
|
| XHOZA | 1 |
0%
|
|
| XOSA | 2 |
0%
|
|
| YAHO[MAL | 1 |
0%
|
|
| YAKOMA | 1 |
0%
|
|
| YAWO | 1 |
0%
|
|
| ZAMBIA | 2 |
0%
|
|
| ZAMBIAM | 1 |
0%
|
|
| ZAMBIAN | 11 |
0.3%
|
|
| ZENGENDA | 1 |
0%
|
|
| ZEURU | 1 |
0%
|
|
| ZEZURU | 748 |
18.6%
|
|
| ZEZURU. | 1 |
0%
|
|
| ZEZURU5 | 1 |
0%
|
|
| ZEZURY | 1 |
0%
|
|
| ZIMBABEA | 1 |
0%
|
|
| ZONGENDA | 2 |
0%
|
|
| ZULU | 2 |
0%
|
|
| ZWONGEND | 1 |
0%
|
|
| karanga | 3 |
0.1%
|
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.
Interviewer instructions
Each country to substitute appropriate phrases or terms and list the
relevant response options.
relevant response options.