Afrobarometer Survey 2016-2018
Merged 34 Country
Africa, 2016 - 2018
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Reference ID
afr-afr34-2016-2018-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, South Africa)
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Created on
May 03, 2020
Last modified
Jul 28, 2020
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- Data files
- afr34-2016-2018-v1
Q119. Other spoken languages_first (Q119_1)
Data file: afr34-2016-2018-v1
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
loc_start_pos:
1653
loc_end_pos:
1656
Width:
4
Range:
1 - 9996
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | English |
| 2 | French |
| 3 | Portuguese |
| 4 | Swahili |
| 100 | Adjagbé |
| 102 | Dendi |
| 104 | Fongbé |
| 106 | Yoruba |
| 140 | Setswana |
| 180 | Mooré |
| 220 | Crioulo |
| 260 | Akan |
| 261 | Ewe/Anlo |
| 264 | Dagaare |
| 301 | Luo |
| 310 | Somali |
| 380 | Kru |
| 381 | Grebo |
| 382 | Sapo |
| 383 | Krahn |
| 384 | Gio |
| 385 | Mano |
| 386 | Kpelle |
| 387 | Lorma |
| 388 | Mende |
| 389 | Kissi |
| 390 | Gbandi |
| 391 | Mandingo |
| 392 | Bassa |
| 393 | Vai |
| 394 | Gola |
| 395 | Belle |
| 396 | Liberian English |
| 420 | "Official" Malagasy |
| 421 | Malagasy with regional dialect |
| 460 | Chitumbuka |
| 463 | Chichewa |
| 501 | Bambara |
| 540 | Makua |
| 541 | Sena |
| 542 | Ndau |
| 543 | Changana |
| 544 | Nyanja |
| 545 | Chope |
| 546 | Bitonga |
| 547 | Makonde |
| 548 | Chuabo |
| 549 | Ajaua |
| 550 | Lomue |
| 551 | Shona |
| 552 | Xitswa |
| 553 | Xironga |
| 554 | Chichewa |
| 555 | Cinyungwe |
| 556 | Ciyao |
| 557 | Ekoti |
| 558 | Kimwani |
| 583 | Oshiwambo (Oshindonga/Oshikwanyama) |
| 584 | Otjiherero |
| 588 | Silozi |
| 590 | Masubia |
| 620 | Hausa |
| 622 | Yoruba |
| 660 | Wolof |
| 661 | Pulaar/Toucouleur |
| 709 | Zulu |
| 780 | Luganda |
| 781 | Runyankole |
| 782 | Runyoro |
| 783 | Lusoga |
| 784 | Lumasaaba |
| 785 | Lukhonjo |
| 786 | Lunyole |
| 787 | Ateso |
| 788 | Acholi |
| 789 | Alur |
| 790 | Lugbara |
| 791 | Madi |
| 792 | Japadhola |
| 793 | Lusamia |
| 794 | Lugwere |
| 795 | Rukiga |
| 796 | Rutooro |
| 797 | Langi |
| 798 | Kupsabinyi |
| 799 | Ngakarimajong |
| 820 | Bemba |
| 861 | Shona |
| 862 | Zezuru |
| 900 | Creole |
| 930 | Creole |
| 931 | Fulla |
| 932 | Kissi |
| 933 | Kono |
| 934 | Kru |
| 935 | Kuranko |
| 936 | Limba |
| 937 | Loko |
| 938 | Madingo |
| 939 | Mende |
| 940 | Sherbro |
| 941 | Susu |
| 942 | Temne |
| 943 | Vai |
| 944 | Yalunka |
| 1100 | Haoussa |
| 1101 | Zrama/Songhay |
| 1140 | Ewé |
| 1220 | Foufouldé |
| 1221 | Pidgin |
| 1222 | Ewondo |
| 1223 | Bafang |
| 1224 | Douala |
| 1225 | Bafia |
| 1226 | Bafut |
| 1227 | Bagangte |
| 1228 | Bakundu |
| 1229 | Bamileke |
| 1230 | Bamoun |
| 1231 | Bandjoun |
| 1232 | Bangwa |
| 1233 | Banso |
| 1234 | Bassa |
| 1235 | Batanga |
| 1236 | Bayangi |
| 1237 | Bula |
| 1238 | Dschang |
| 1239 | Eton |
| 1240 | Fali |
| 1241 | Fong |
| 1242 | Gbaya |
| 1243 | Guider |
| 1244 | Guiziga |
| 1245 | Haoussa |
| 1246 | Kapsiki |
| 1247 | Mafa |
| 1248 | Maka |
| 1249 | Mankon |
| 1250 | Massa |
| 1251 | Mbouda |
| 1252 | Mboum |
| 1253 | Mobakoh |
| 1254 | Moudan |
| 1255 | Ngueba |
| 1256 | Njikwa |
| 1257 | Lamnso |
| 1258 | Tikari |
| 1259 | Toupouri |
| 1263 | Agny |
| 1264 | Attié |
| 1265 | Avikam |
| 1266 | Bambara |
| 1267 | Baoulé |
| 1268 | Bété |
| 1276 | Malinké / Dioula |
| 1500 | Arabic |
| 1501 | Moroccan Arabic |
| 1502 | Arabic Hassani |
| 1503 | Amazigh |
| 1540 | Sudanese Arabic |
| 1541 | Nubian language |
| 1542 | Dinka language |
| 1543 | Beja language |
| 1581 | Arabic |
| 1660 | Crioulo |
| 1661 | Forro |
| 1662 | Angular |
| 1663 | Lunguie |
| 1700 | Fang |
| 1701 | Punu/Mériè |
| 1704 | Nzébi/Métié |
| 1706 | Tsogho |
| 1740 | Fula |
| 1741 | Wolof |
| 1742 | Jola |
| 1743 | Mandinka |
| 2220 | Yamba |
| 2221 | Yabassi |
| 2222 | Bene |
| 9995 | Other |
| 9996 | No further reply |
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.