Afrobarometer Survey 2019, Round 8
Kenya, 2019
Get Microdata
Reference ID
KEN_2019_AFB-R8_v01_M
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)
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
10754
- Data files
- ken_r8_data_27oct20.sav
Province or region (REGION)
Data file: ken_r8_data_27oct20.sav
Overview
Valid:
2400
Invalid:
-
Minimum:
300
Maximum:
346
Type:
Discrete
Decimal:
0
Start:
9
End:
11
Width:
3
Range:
300 - 346
Format:
Numeric
Questions and instructions
Literal question
Region / Province / State
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 300 | NAIROBI | 256 |
10.7%
|
| 301 | NYANDARUA | 32 |
1.3%
|
| 302 | NYERI | 40 |
1.7%
|
| 303 | KIRINYAGA | 32 |
1.3%
|
| 304 | MURANG'A | 56 |
2.3%
|
| 305 | KIAMBU | 96 |
4%
|
| 306 | MOMBASA | 64 |
2.7%
|
| 307 | KWALE | 40 |
1.7%
|
| 308 | KILIFI | 80 |
3.3%
|
| 309 | TANA RIVER | 16 |
0.7%
|
| 310 | LAMU | 8 |
0.3%
|
| 311 | TAITA TAVETA | 16 |
0.7%
|
| 312 | MARSABIT | 16 |
0.7%
|
| 313 | ISIOLO | 8 |
0.3%
|
| 314 | MERU | 72 |
3%
|
| 315 | THARAKA-NITHI | 24 |
1%
|
| 316 | EMBU | 32 |
1.3%
|
| 317 | KITUI | 56 |
2.3%
|
| 318 | MACHAKOS | 56 |
2.3%
|
| 319 | MAKUENI | 48 |
2%
|
| 320 | GARISSA | 24 |
1%
|
| 321 | WAJIR | 24 |
1%
|
| 322 | MANDERA | 40 |
1.7%
|
| 323 | SIAYA | 56 |
2.3%
|
| 324 | KISUMU | 56 |
2.3%
|
| 325 | MIGORI | 56 |
2.3%
|
| 326 | HOMA BAY | 56 |
2.3%
|
| 327 | KISII | 72 |
3%
|
| 328 | NYAMIRA | 40 |
1.7%
|
| 329 | TURKANA | 56 |
2.3%
|
| 330 | WEST POKOT | 32 |
1.3%
|
| 331 | SAMBURU | 16 |
0.7%
|
| 332 | TRANS NZOIA | 56 |
2.3%
|
| 333 | BARINGO | 40 |
1.7%
|
| 334 | UASIN GISHU | 64 |
2.7%
|
| 335 | ELGEYO-MARAKWET | 24 |
1%
|
| 336 | NANDI | 56 |
2.3%
|
| 337 | LAIKIPIA | 24 |
1%
|
| 338 | NAKURU | 112 |
4.7%
|
| 339 | NAROK | 56 |
2.3%
|
| 340 | KAJIADO | 48 |
2%
|
| 341 | KERICHO | 48 |
2%
|
| 342 | BOMET | 48 |
2%
|
| 343 | KAKAMEGA | 96 |
4%
|
| 344 | VIHIGA | 32 |
1.3%
|
| 345 | BUNGOMA | 80 |
3.3%
|
| 346 | BUSIA | 40 |
1.7%
|
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
Interviewer: Select appropriate code for Region / Province. Write names for District and Town / Village and EA number in the boxes.]