Multi Country Study Survey 2000-2001
India, 2000 - 2001
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
845
District of birth (Im4)
Data file: MODIM
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Literal question
In which district was (name) born?
Categories
| Value | Category |
|---|---|
| 101 | Kalangala |
| 102 | Kampala |
| 103 | Kiboga |
| 104 | Luwero |
| 105 | Masaka |
| 106 | Mpigi |
| 107 | Mubende |
| 108 | Mukono |
| 109 | Nakasongola |
| 110 | Rakai |
| 111 | Sembabule |
| 112 | Kayunga |
| 113 | Wakiso |
| 114 | Lyantonde |
| 115 | Mityana |
| 116 | Nakaseke |
| 201 | Bugiri |
| 202 | Busia |
| 203 | Iganga |
| 204 | Jinja |
| 205 | Kamuli |
| 206 | Kapchorwa |
| 207 | Katakwi |
| 208 | Kumi |
| 209 | Mbale |
| 210 | Pallisa |
| 211 | Soroti |
| 212 | Tororo |
| 213 | Kaberamaido |
| 214 | Mayuge |
| 215 | Sironko |
| 216 | Budaka |
| 217 | Bududa |
| 218 | Bukedea |
| 219 | Bukwa |
| 220 | Butaleja |
| 221 | Kaliro |
| 222 | Manafwa |
| 223 | Namutumba |
| 301 | Adjumani |
| 302 | Apac |
| 303 | Arua |
| 304 | Gulu |
| 305 | Kitgum |
| 306 | Kotido |
| 307 | Lira |
| 308 | Moroto |
| 309 | Moyo |
| 310 | Nebbi |
| 311 | Nakapiripirit |
| 312 | Pader |
| 313 | Yumbe |
| 314 | Abim |
| 315 | Amolator |
| 316 | Amuria |
| 317 | Amuru |
| 318 | Dokolo |
| 319 | Kaabong |
| 320 | Koboko |
| 321 | Maracha |
| 322 | Oyam |
| 401 | Bundibugyo |
| 402 | Bushenyi |
| 403 | Hoima |
| 404 | Kabale |
| 405 | Kabarole |
| 406 | Kasese |
| 407 | Kibaale |
| 408 | Kisoro |
| 409 | Masindi |
| 410 | Mbarara |
| 411 | Ntungamo |
| 412 | Rukungiri |
| 413 | Kamwenge |
| 414 | Kanungu |
| 415 | Kyenjojo |
| 416 | Buliisa |
| 417 | Ibanda |
| 418 | Isingiro |
| 419 | Kiruhura |
| 506 | Outside uganda |
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.