Refugee and Host Communities Household Survey 2018
Uganda, 2018
Get Microdata
Reference ID
UGA_2018_RHCS_v01_M
Producer(s)
The World Bank
Metadata
Created on
Mar 24, 2021
Last modified
Mar 24, 2021
Page views
69816
Downloads
912
- Data files
- agsec_1.dta
- agsec_2.dta
- agsec_3.dta
- agsec_4.dta
- csec1c.dta
- csec2a.dta
- csec2d.dta
- csec3a.dta
- csec3b.dta
- csec3d.dta
- csec3f.dta
- csec4.dta
- csec4c.dta
- csec4m.dta
- csec9.dta
- cseccg.dta
- cseclp.dta
- csecn.dta
- csecsf.dta
- csecsf2.dta
- hsec_bi.dta
- hsec_hp.dta
- hsec_hs.dta
- hsec_hs_a.dta
- hsec_sf.dta
- hsec_wf.dta
- hsec2a.dta
- hsec2b.dta
- hsec2c.dta
- hsec4.dta
- hsec5.dta
- hsec7a.dta
- hsec7b.dta
- hsec8.dta
- hsec9.dta
- hsec10.dta
- hsec11.dta
- hsec13a.dta
- hsec13b.dta
- hsec15a.dta
- hsec15b.dta
- hsec15c.dta
- hsec15d.dta
- hsec15e.dta
- hsec22.dta
- hsec22a.dta
- pov_2018_share.dta
- weights.dta
- csec1.dta
- hsec1.dta
R21a Which was (name) s first place of residence in Uganda?-District (R21a)
Data file: hsec2b.dta
Overview
Valid:
227
Invalid:
4453
Minimum:
97
Maximum:
421
Type:
Discrete
Decimal:
2
Start:
171
End:
176
Width:
6
Range:
97 - 421
Format:
Numeric
Questions and instructions
Literal question
Which was [NAME's] first place of residence in Uganda?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 97 | N/A | 1 |
0.4%
|
| 98 | DK | 0 |
0%
|
| 101 | KALANGALA | 5 |
2.2%
|
| 102 | KAMPALA | 29 |
12.8%
|
| 103 | KIBOGA | 1 |
0.4%
|
| 104 | LUWERO | 0 |
0%
|
| 105 | MASAKA | 0 |
0%
|
| 106 | MPIGI | 0 |
0%
|
| 107 | MUBENDE | 0 |
0%
|
| 108 | MUKONO | 0 |
0%
|
| 109 | NAKASONGOLA | 0 |
0%
|
| 110 | RAKAI | 0 |
0%
|
| 111 | SSEMBABULE | 0 |
0%
|
| 112 | KAYUNGA | 2 |
0.9%
|
| 113 | WAKISO | 0 |
0%
|
| 114 | LYANTONDE | 0 |
0%
|
| 115 | MITYANA | 0 |
0%
|
| 116 | NAKASEKE | 0 |
0%
|
| 117 | BUIKWE | 0 |
0%
|
| 118 | BUKOMANSIMBI | 0 |
0%
|
| 119 | BUTAMBALA | 0 |
0%
|
| 120 | BUVUMA | 0 |
0%
|
| 121 | GOMBA | 0 |
0%
|
| 122 | KALUNGU | 0 |
0%
|
| 123 | KYANKWANZI | 3 |
1.3%
|
| 124 | LWENGO | 0 |
0%
|
| 125 | KYOTERA | 0 |
0%
|
| 201 | BUGIRI | 0 |
0%
|
| 202 | BUSIA | 0 |
0%
|
| 203 | IGANGA | 0 |
0%
|
| 204 | JINJA | 0 |
0%
|
| 205 | KAMULI | 0 |
0%
|
| 206 | KAPCHORWA | 0 |
0%
|
| 207 | KATAKWI | 0 |
0%
|
| 208 | KUMI | 0 |
0%
|
| 209 | MBALE | 0 |
0%
|
| 210 | PALLISA | 0 |
0%
|
| 211 | SOROTI | 0 |
0%
|
| 212 | TORORO | 0 |
0%
|
| 213 | KABERAMAIDO | 0 |
0%
|
| 214 | MAYUGE | 0 |
0%
|
| 215 | SIRONKO | 0 |
0%
|
| 216 | AMURIA | 0 |
0%
|
| 217 | BUDAKA | 0 |
0%
|
| 218 | BUDUDA | 0 |
0%
|
| 219 | BUKEDEA | 0 |
0%
|
| 220 | BUKWO | 0 |
0%
|
| 221 | BUTALEJA | 0 |
0%
|
| 222 | KALIRO | 0 |
0%
|
| 223 | MANAFWA | 0 |
0%
|
| 224 | NAMUTUMBA | 0 |
0%
|
| 225 | BULAMBULI | 0 |
0%
|
| 226 | BUYENDE | 0 |
0%
|
| 227 | KIBUKU | 0 |
0%
|
| 228 | KWEEN | 0 |
0%
|
| 229 | LUUKA | 0 |
0%
|
| 230 | NAMAYINGO | 0 |
0%
|
| 231 | NGORA | 0 |
0%
|
| 232 | SERERE | 0 |
0%
|
| 233 | BUTEBO | 0 |
0%
|
| 234 | NAMISINDWA | 0 |
0%
|
| 301 | ADJUMANI | 54 |
23.8%
|
| 302 | APAC | 0 |
0%
|
| 303 | ARUA | 14 |
6.2%
|
| 304 | GULU | 0 |
0%
|
| 305 | KITGUM | 0 |
0%
|
| 306 | KOTIDO | 0 |
0%
|
| 307 | LIRA | 0 |
0%
|
| 308 | MOROTO | 0 |
0%
|
| 309 | MOYO | 7 |
3.1%
|
| 310 | NEBBI | 0 |
0%
|
| 311 | NAKAPIRIPIRIT | 0 |
0%
|
| 312 | PADER | 0 |
0%
|
| 313 | YUMBE | 0 |
0%
|
| 314 | ABIM | 0 |
0%
|
| 315 | AMOLATAR | 0 |
0%
|
| 316 | AMURU | 0 |
0%
|
| 317 | DOKOLO | 0 |
0%
|
| 318 | KAABONG | 0 |
0%
|
| 319 | KOBOKO | 0 |
0%
|
| 320 | MARACHA | 0 |
0%
|
| 321 | OYAM | 0 |
0%
|
| 322 | AGAGO | 0 |
0%
|
| 323 | ALEBTONG | 0 |
0%
|
| 324 | AMUDAT | 0 |
0%
|
| 325 | KOLE | 0 |
0%
|
| 326 | LAMWO | 9 |
4%
|
| 327 | NAPAK | 0 |
0%
|
| 328 | NWOYA | 0 |
0%
|
| 329 | OTUKE | 0 |
0%
|
| 330 | ZOMBO | 0 |
0%
|
| 331 | OMORO | 0 |
0%
|
| 332 | PAKWACH | 0 |
0%
|
| 401 | BUNDIBUGYO | 1 |
0.4%
|
| 402 | BUSHENYI | 0 |
0%
|
| 403 | HOIMA | 19 |
8.4%
|
| 404 | KABALE | 3 |
1.3%
|
| 405 | KABAROLE | 0 |
0%
|
| 406 | KASESE | 0 |
0%
|
| 407 | KIBAALE | 0 |
0%
|
| 408 | KISORO | 9 |
4%
|
| 409 | MASINDI | 0 |
0%
|
| 410 | MBARARA | 5 |
2.2%
|
| 411 | NTUNGAMO | 3 |
1.3%
|
| 412 | RUKUNGIRI | 0 |
0%
|
| 413 | KAMWENGE | 18 |
7.9%
|
| 414 | KANUNGU | 3 |
1.3%
|
| 415 | KYENJOJO | 4 |
1.8%
|
| 416 | BULIISA | 0 |
0%
|
| 417 | IBANDA | 0 |
0%
|
| 418 | ISINGIRO | 34 |
15%
|
| 419 | KIRUHURA | 0 |
0%
|
| 420 | BUHWEJU | 0 |
0%
|
| 421 | KIRYANDONGO | 3 |
1.3%
|
| 422 | KYEGEGWA | 0 |
0%
|
| 423 | MITOOMA | 0 |
0%
|
| 424 | NTOROKO | 0 |
0%
|
| 425 | RUBIRIZI | 0 |
0%
|
| 426 | SHEEMA | 0 |
0%
|
| 427 | KAGADI | 0 |
0%
|
| 428 | KAKUMIRO | 0 |
0%
|
| 429 | RUBANDA | 0 |
0%
|
| 430 | RUKIGA | 0 |
0%
|
| 431 | BUNYANGABU | 0 |
0%
|
| Sysmiss | 4453 |
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
RECORD DISTRICT NAME IN R21a AND PLACE OF RESIDENCE IN R21b