Refugee and Host Communities Household Survey 2018
Uganda, 2018
Get MicrodataCreated on
Oct 14, 2021
Last modified
Jan 03, 2022
Page views
36599
Downloads
209
- 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
(district)
Data file: pov_2018_share.dta
Overview
Valid:
1977
Invalid:
-
Minimum:
102
Maximum:
422
Type:
Discrete
Decimal:
0
Start:
36
End:
38
Width:
3
Range:
102 - 422
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | KALANGALA | 0 |
0%
|
| 102 | KAMPALA | 274 |
13.9%
|
| 103 | KIBOGA | 0 |
0%
|
| 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 | 0 |
0%
|
| 113 | WAKISO | 69 |
3.5%
|
| 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 | 0 |
0%
|
| 124 | LWENGO | 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 (from soroti) | 0 |
0%
|
| 301 | Adjumani | 168 |
8.5%
|
| 302 | Apac | 0 |
0%
|
| 303 | Arua | 165 |
8.3%
|
| 304 | Gulu | 0 |
0%
|
| 305 | Kitgum | 0 |
0%
|
| 306 | Kotido | 0 |
0%
|
| 307 | Lira | 0 |
0%
|
| 308 | Moroto | 0 |
0%
|
| 309 | Moyo | 94 |
4.8%
|
| 310 | Nebbi | 0 |
0%
|
| 311 | Nakapiripirit | 0 |
0%
|
| 312 | Pader | 0 |
0%
|
| 313 | Yumbe | 337 |
17%
|
| 314 | Abim | 0 |
0%
|
| 315 | Amolator | 0 |
0%
|
| 316 | Amuru | 0 |
0%
|
| 317 | Dokolo | 0 |
0%
|
| 318 | Kaabong | 0 |
0%
|
| 319 | Koboko | 53 |
2.7%
|
| 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 | 87 |
4.4%
|
| 327 | Napak | 0 |
0%
|
| 328 | Nwoya | 0 |
0%
|
| 329 | Otuke (from Lira) | 0 |
0%
|
| 330 | Zombo | 0 |
0%
|
| 401 | Bundibugyo | 0 |
0%
|
| 402 | Bushenyi | 0 |
0%
|
| 403 | Hoima | 166 |
8.4%
|
| 404 | Kabale | 0 |
0%
|
| 405 | Kabarole | 0 |
0%
|
| 406 | Kasese | 0 |
0%
|
| 407 | Kibaale | 0 |
0%
|
| 408 | Kisoro | 0 |
0%
|
| 409 | Masindi | 0 |
0%
|
| 410 | Mbarara | 0 |
0%
|
| 411 | Ntugamo | 0 |
0%
|
| 412 | Rukungiri | 0 |
0%
|
| 413 | Kamwenge | 160 |
8.1%
|
| 414 | Kanungu | 0 |
0%
|
| 415 | Kyenjojo | 0 |
0%
|
| 416 | Buliisa | 0 |
0%
|
| 417 | Ibanda | 0 |
0%
|
| 418 | Isingiro | 168 |
8.5%
|
| 419 | Kiruhura | 0 |
0%
|
| 420 | Buhweju | 0 |
0%
|
| 421 | Kiryandongo | 108 |
5.5%
|
| 422 | KYEGEGWA | 128 |
6.5%
|
| 424 | NTOROKO | 0 |
0%
|
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.