Afrobarometer Survey 2019-2021, Merged 34 Country
Africa, 2019 - 2021
Get Microdata
Reference ID
afr-ab-afr34-2019-2021-v1
Producer(s)
Ghana Centre for Democratic Development (CDD), Institute for Justice and Reconciliation in South Africa (IJR), Institute for Empirical Research in Political Economy (IREEP), Institute for Development Studies (IDS), Michigan State University (MSU), University of Cape Town (UCT)
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Metadata
Created on
Oct 09, 2024
Last modified
Oct 09, 2024
Page views
14304
Downloads
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- Data files
- afr34-2019-2021-v1
q2other. language spoken in home (verbatim) (q2other)
Data file: afr34-2019-2021-v1
Overview
Valid:
867
Invalid:
0
Type:
Discrete
loc_start_pos:
447
loc_end_pos:
477
Width:
31
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABIDJI | 1 |
0.1%
|
|
| ADARA | 2 |
0.2%
|
|
| AGBEDE | 3 |
0.3%
|
|
| AHIZI | 2 |
0.2%
|
|
| AKU | 3 |
0.3%
|
|
| ALAGO | 1 |
0.1%
|
|
| ANDONI | 3 |
0.3%
|
|
| ANNANG | 3 |
0.3%
|
|
| APPOLO | 4 |
0.5%
|
|
| ARABE | 8 |
0.9%
|
|
| ARABIC | 1 |
0.1%
|
|
| AREGNA | 7 |
0.8%
|
|
| ARI | 6 |
0.7%
|
|
| ARIYA | 3 |
0.3%
|
|
| AUCHI | 1 |
0.1%
|
|
| BABUR | 1 |
0.1%
|
|
| BAKOR | 1 |
0.1%
|
|
| BAKWE | 6 |
0.7%
|
|
| BALANTA | 3 |
0.3%
|
|
| BALANTE | 3 |
0.3%
|
|
| BANDA | 2 |
0.2%
|
|
| BANGNA | 3 |
0.3%
|
|
| BARGO | 1 |
0.1%
|
|
| BASA | 1 |
0.1%
|
|
| BASARI | 11 |
1.3%
|
|
| BASSA NGE | 7 |
0.8%
|
|
| BEJJU | 3 |
0.3%
|
|
| BEJU | 2 |
0.2%
|
|
| BEKWARRA | 1 |
0.1%
|
|
| BELLA | 1 |
0.1%
|
|
| BENA TESEMAY | 1 |
0.1%
|
|
| BENA TESMAY | 1 |
0.1%
|
|
| BENA TSEMAY | 2 |
0.2%
|
|
| BENEGNA | 1 |
0.1%
|
|
| BENEYA | 2 |
0.2%
|
|
| BEROM | 1 |
0.1%
|
|
| BHOJPURI | 7 |
0.8%
|
|
| BIMOBA | 4 |
0.5%
|
|
| BIROM | 1 |
0.1%
|
|
| BISA | 3 |
0.3%
|
|
| BISSA | 2 |
0.2%
|
|
| BOJU | 2 |
0.2%
|
|
| BORAN | 3 |
0.3%
|
|
| BOWIRE | 5 |
0.6%
|
|
| BREFO | 4 |
0.5%
|
|
| BUEM | 3 |
0.3%
|
|
| BUH | 4 |
0.5%
|
|
| BUJA | 5 |
0.6%
|
|
| BUJI | 1 |
0.1%
|
|
| BULI | 9 |
1%
|
|
| BURA | 1 |
0.1%
|
|
| CAPENDE | 1 |
0.1%
|
|
| CHAMBER | 2 |
0.2%
|
|
| CHEWA | 1 |
0.1%
|
|
| CHIBARWE | 3 |
0.3%
|
|
| CHICHEWA | 1 |
0.1%
|
|
| CHIDHOMBE | 1 |
0.1%
|
|
| CHIKHOKHOLA | 3 |
0.3%
|
|
| CHINDALI | 4 |
0.5%
|
|
| CHINOIS | 1 |
0.1%
|
|
| CHOKOSI | 3 |
0.3%
|
|
| Chibharue | 1 |
0.1%
|
|
| Chimanhica | 4 |
0.5%
|
|
| Chiuté | 3 |
0.3%
|
|
| DAGAATE | 9 |
1%
|
|
| DAGOMBA | 1 |
0.1%
|
|
| DAHO | 1 |
0.1%
|
|
| DAINAWA | 1 |
0.1%
|
|
| DJIMINI | 8 |
0.9%
|
|
| DUMA | 1 |
0.1%
|
|
| DURUMA | 1 |
0.1%
|
|
| EBRIE | 6 |
0.7%
|
|
| EFFON | 1 |
0.1%
|
|
| EHUGBO | 2 |
0.2%
|
|
| EIKA | 1 |
0.1%
|
|
| EJAGHAM | 2 |
0.2%
|
|
| EKAJIKO | 2 |
0.2%
|
|
| EKAJUK | 2 |
0.2%
|
|
| EKIM | 1 |
0.1%
|
|
| ELEMOIN | 1 |
0.1%
|
|
| EPIE | 2 |
0.2%
|
|
| ETAN | 3 |
0.3%
|
|
| ETCHE | 1 |
0.1%
|
|
| Emunika | 2 |
0.2%
|
|
| FALLATA | 1 |
0.1%
|
|
| FANTARA | 2 |
0.2%
|
|
| GAGOU | 7 |
0.8%
|
|
| GAIDE | 4 |
0.5%
|
|
| GBAGI | 6 |
0.7%
|
|
| GBAN | 5 |
0.6%
|
|
| GBIN | 5 |
0.6%
|
|
| GERMA | 1 |
0.1%
|
|
| GEZEWGNA | 2 |
0.2%
|
|
| GEZEYA | 2 |
0.2%
|
|
| GOFA | 6 |
0.7%
|
|
| GOFIGNA | 2 |
0.2%
|
|
| GRUSI | 1 |
0.1%
|
|
| GUAN | 2 |
0.2%
|
|
| GURMA | 1 |
0.1%
|
|
| GURUSI | 9 |
1%
|
|
| GUSA | 1 |
0.1%
|
|
| GWOZA | 1 |
0.1%
|
|
| HALABIGNA | 2 |
0.2%
|
|
| HALABYA | 1 |
0.1%
|
|
| HALBIYA | 1 |
0.1%
|
|
| HALBYA | 2 |
0.2%
|
|
| HAUSA | 1 |
0.1%
|
|
| HIMBA | 1 |
0.1%
|
|
| ILAWE | 1 |
0.1%
|
|
| INGLÊS | 1 |
0.1%
|
|
| JUKUN | 8 |
0.9%
|
|
| KAADO | 1 |
0.1%
|
|
| KABA | 1 |
0.1%
|
|
| KADARA | 1 |
0.1%
|
|
| KAKWA | 1 |
0.1%
|
|
| KALABARI | 2 |
0.2%
|
|
| KANTANA | 5 |
0.6%
|
|
| KANURI | 1 |
0.1%
|
|
| KARO | 1 |
0.1%
|
|
| KASENA | 4 |
0.5%
|
|
| KASSIM | 1 |
0.1%
|
|
| KASSINA NANKANI | 3 |
0.3%
|
|
| KEFIGNA | 1 |
0.1%
|
|
| KHOEKHOEGOWAB | 1 |
0.1%
|
|
| KHOI KHOI | 1 |
0.1%
|
|
| KIANGAZA | 4 |
0.5%
|
|
| KIBENA | 5 |
0.6%
|
|
| KIBONDEI | 1 |
0.1%
|
|
| KIBUNGU | 2 |
0.2%
|
|
| KICHASI | 5 |
0.6%
|
|
| KICHONI | 2 |
0.2%
|
|
| KIDATOOGA | 2 |
0.2%
|
|
| KIDIGO | 6 |
0.7%
|
|
| KIDIGU | 1 |
0.1%
|
|
| KIDURUMA | 6 |
0.7%
|
|
| KIGOROO | 2 |
0.2%
|
|
| KIHANGAZA | 1 |
0.1%
|
|
| KIIKOMA | 6 |
0.7%
|
|
| KIJALUO | 8 |
0.9%
|
|
| KIKARA | 1 |
0.1%
|
|
| KIKEREWE | 4 |
0.5%
|
|
| KIKIMBU | 1 |
0.1%
|
|
| KIKINGA | 2 |
0.2%
|
|
| KIKISI | 1 |
0.1%
|
|
| KIKONONGO | 5 |
0.6%
|
|
| KIKWERE | 2 |
0.2%
|
|
| KIMAKUA | 3 |
0.3%
|
|
| KIMALILA | 8 |
0.9%
|
|
| KIMALINYI | 1 |
0.1%
|
|
| KIMAMBA | 2 |
0.2%
|
|
| KIMAMBWE | 9 |
1%
|
|
| KIMANDA | 1 |
0.1%
|
|
| KIMATENGO | 4 |
0.5%
|
|
| KIMWERA | 4 |
0.5%
|
|
| KINUBI | 1 |
0.1%
|
|
| KINYAMWANGA | 3 |
0.3%
|
|
| KINYASA | 1 |
0.1%
|
|
| KINYIHA | 1 |
0.1%
|
|
| KIPANGWA | 5 |
0.6%
|
|
| KIRANGI | 6 |
0.7%
|
|
| KISAFWA | 1 |
0.1%
|
|
| KISAGALLA | 1 |
0.1%
|
|
| KISANGU | 6 |
0.7%
|
|
| KISIMBITI | 1 |
0.1%
|
|
| KISONJO | 8 |
0.9%
|
|
| KISUBA | 8 |
0.9%
|
|
| KISUMBWA | 2 |
0.2%
|
|
| KITAITA | 1 |
0.1%
|
|
| KIZARAMO | 3 |
0.3%
|
|
| KO | 3 |
0.3%
|
|
| KONIAGUI | 6 |
0.7%
|
|
| KONON | 5 |
0.6%
|
|
| KONSIGNA | 1 |
0.1%
|
|
| KONSO | 3 |
0.3%
|
|
| KONSOGNA | 1 |
0.1%
|
|
| KONSOYA | 1 |
0.1%
|
|
| KOORA | 4 |
0.5%
|
|
| KOORE | 2 |
0.2%
|
|
| KORE | 1 |
0.1%
|
|
| KOREGNA | 3 |
0.3%
|
|
| KORETI | 1 |
0.1%
|
|
| KORIGNA | 2 |
0.2%
|
|
| KORITE | 1 |
0.1%
|
|
| KORO | 3 |
0.3%
|
|
| KOS | 1 |
0.1%
|
|
| KOSAASE | 1 |
0.1%
|
|
| KOTOKOLI | 2 |
0.2%
|
|
| KOUZIE | 6 |
0.7%
|
|
| KRACHI | 1 |
0.1%
|
|
| KULERE | 1 |
0.1%
|
|
| KUMAM | 4 |
0.5%
|
|
| KURIA | 9 |
1%
|
|
| KUSASI | 1 |
0.1%
|
|
| KUSASI AND TWI | 1 |
0.1%
|
|
| KUTURMI | 1 |
0.1%
|
|
| KWALE | 2 |
0.2%
|
|
| KWENDAM / SON | 1 |
0.1%
|
|
| KYAKWESI | 1 |
0.1%
|
|
| LANDOUMA | 3 |
0.3%
|
|
| LELEMI | 2 |
0.2%
|
|
| LERENCI | 1 |
0.1%
|
|
| LIBBO | 1 |
0.1%
|
|
| LIKPAKPALN | 4 |
0.5%
|
|
| LIKPE | 3 |
0.3%
|
|
| LINGALA | 1 |
0.1%
|
|
| LO | 5 |
0.6%
|
|
| LOBI | 1 |
0.1%
|
|
| LOZWI | 2 |
0.2%
|
|
| LUGISU | 1 |
0.1%
|
|
| Lolo | 4 |
0.5%
|
|
| MADA | 1 |
0.1%
|
|
| MAFWE | 1 |
0.1%
|
|
| MAHLEGNA | 1 |
0.1%
|
|
| MAHOUKA | 2 |
0.2%
|
|
| MALEYA | 1 |
0.1%
|
|
| MALGNA | 2 |
0.2%
|
|
| MANAJWA | 1 |
0.1%
|
|
| MANDARA | 3 |
0.3%
|
|
| MANG'ANJA | 1 |
0.1%
|
|
| MARAGOLI | 1 |
0.1%
|
|
| MARGI | 2 |
0.2%
|
|
| MAUNGWE | 1 |
0.1%
|
|
| MAURE | 2 |
0.2%
|
|
| MBALANGWE | 1 |
0.1%
|
|
| MEHALEGNA | 1 |
0.1%
|
|
| MIKHIFORE | 2 |
0.2%
|
|
| MO | 6 |
0.7%
|
|
| MOGHAMO | 8 |
0.9%
|
|
| MOITIÉ CHINOIS MOITIÉ CRÉOLE | 1 |
0.1%
|
|
| MOSHIE | 3 |
0.3%
|
|
| Machope | 1 |
0.1%
|
|
| Magorongosiano | 1 |
0.1%
|
|
| Manragues | 1 |
0.1%
|
|
| Matacuane | 1 |
0.1%
|
|
| Matonga | 1 |
0.1%
|
|
| Muniga | 3 |
0.3%
|
|
| NABD | 5 |
0.6%
|
|
| NAFAANA | 2 |
0.2%
|
|
| NAMBYA | 1 |
0.1%
|
|
| NANDI | 1 |
0.1%
|
|
| NANGA | 2 |
0.2%
|
|
| NANKANA | 5 |
0.6%
|
|
| NCHUMURU | 1 |
0.1%
|
|
| NDEBELE | 1 |
0.1%
|
|
| NDOLA | 7 |
0.8%
|
|
| NDONGO | 1 |
0.1%
|
|
| NEHMBA | 1 |
0.1%
|
|
| NGOYA | 1 |
0.1%
|
|
| NGUNI | 2 |
0.2%
|
|
| NIANBOUA | 1 |
0.1%
|
|
| NINZOM | 1 |
0.1%
|
|
| NKHONDE | 1 |
0.1%
|
|
| NKWANE | 2 |
0.2%
|
|
| NOT SPECIFIED | 4 |
0.5%
|
|
| NOUNOUMA | 5 |
0.6%
|
|
| NOUNOUMAN | 1 |
0.1%
|
|
| NYANJA | 2 |
0.2%
|
|
| NYEMBA | 5 |
0.6%
|
|
| NYENGO | 1 |
0.1%
|
|
| NYIKA | 1 |
0.1%
|
|
| NYONGWE | 1 |
0.1%
|
|
| NYUNGUE | 1 |
0.1%
|
|
| OBOLO | 2 |
0.2%
|
|
| OGBIA | 1 |
0.1%
|
|
| OGOJA | 4 |
0.5%
|
|
| OKU | 1 |
0.1%
|
|
| OLUZIMBA - OTJIHERERO RELATED | 1 |
0.1%
|
|
| PEUL | 2 |
0.2%
|
|
| PIAPUN | 6 |
0.7%
|
|
| POKOMO | 1 |
0.1%
|
|
| PORTUGUÊS E ENGLES | 1 |
0.1%
|
|
| PORTUGUÊS E UMBUNDO | 5 |
0.6%
|
|
| PYAKUM | 1 |
0.1%
|
|
| PYAPUS | 1 |
0.1%
|
|
| RENDILLE | 6 |
0.7%
|
|
| RIFIA | 1 |
0.1%
|
|
| RUFUMBIRA | 4 |
0.5%
|
|
| RUGUNGU | 1 |
0.1%
|
|
| RUKONJO | 4 |
0.5%
|
|
| RUNYARWANDA | 2 |
0.2%
|
|
| RUTAGWENDA | 1 |
0.1%
|
|
| SAMRE | 1 |
0.1%
|
|
| SEKOA | 1 |
0.1%
|
|
| SEKPELE | 3 |
0.3%
|
|
| SEMBANDERU | 1 |
0.1%
|
|
| SENA PORTUGUES | 1 |
0.1%
|
|
| SENAJWA | 1 |
0.1%
|
|
| SESOBEA | 1 |
0.1%
|
|
| SETEBELE | 1 |
0.1%
|
|
| SETLHARWA | 1 |
0.1%
|
|
| SETSWANA AND SEKGALADI | 1 |
0.1%
|
|
| SETSWAPONG | 2 |
0.2%
|
|
| SHANGANI | 8 |
0.9%
|
|
| SIFWE | 3 |
0.3%
|
|
| SOKYA | 2 |
0.2%
|
|
| SON | 1 |
0.1%
|
|
| SONGO | 2 |
0.2%
|
|
| SOTHO | 2 |
0.2%
|
|
| SUN | 3 |
0.3%
|
|
| TALENSI | 5 |
0.6%
|
|
| TAMPULIMA | 8 |
0.9%
|
|
| TARO | 1 |
0.1%
|
|
| TEGBOR | 6 |
0.7%
|
|
| TEI AND DAGARE | 1 |
0.1%
|
|
| TESO | 6 |
0.7%
|
|
| TEWE | 2 |
0.2%
|
|
| TIGUN | 4 |
0.5%
|
|
| TIKUM | 2 |
0.2%
|
|
| TOKOSI | 1 |
0.1%
|
|
| TOTELA | 7 |
0.8%
|
|
| TSEMAGNA | 2 |
0.2%
|
|
| TSEMAYAYA | 1 |
0.1%
|
|
| TSUMURU | 1 |
0.1%
|
|
| TURGEN | 1 |
0.1%
|
|
| TURKA | 5 |
0.6%
|
|
| UMBUNDO E PORTUGUÊS | 1 |
0.1%
|
|
| UZAIRUE | 1 |
0.1%
|
|
| VENDA | 1 |
0.1%
|
|
| VIGUE | 2 |
0.2%
|
|
| WADIGO | 1 |
0.1%
|
|
| WALA | 2 |
0.2%
|
|
| WANGARA | 1 |
0.1%
|
|
| WOBE | 3 |
0.3%
|
|
| XHOSA | 2 |
0.2%
|
|
| YAMBASSA | 2 |
0.2%
|
|
| YANA | 1 |
0.1%
|
|
| YANAN | 2 |
0.2%
|
|
| YANNA | 3 |
0.3%
|
|
| YARIGA | 1 |
0.1%
|
|
| YIKEGNA | 2 |
0.2%
|
|
| YO | 5 |
0.6%
|
|
| YUNGUR | 7 |
0.8%
|
|
| ZAGHAWA | 1 |
0.1%
|
|
| ZAMRAMA | 3 |
0.3%
|
|
| ZAORE | 2 |
0.2%
|
|
| ZULU | 1 |
0.1%
|
|
| chiute | 2 |
0.2%
|
|
| chiuté | 2 |
0.2%
|
|
| lingua Lolo | 1 |
0.1%
|
|
| lolo | 2 |
0.2%
|
|
| muniga | 1 |
0.1%
|
|
| ronga | 1 |
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.