Refugee and Host Communities Household Survey 2018
Uganda, 2018
Get Microdata
Reference ID
WBG_UGA_2018_RHCS_v01_M
Producer(s)
The World Bank
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Metadata
Created on
Mar 17, 2022
Last modified
Oct 09, 2023
Page views
30985
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- 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
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 101 | KALANGALA |
| 102 | KAMPALA |
| 103 | KIBOGA |
| 104 | LUWERO |
| 105 | MASAKA |
| 106 | MPIGI |
| 107 | MUBENDE |
| 108 | MUKONO |
| 109 | NAKASONGOLA |
| 110 | RAKAI |
| 111 | SSEMBABULE |
| 112 | KAYUNGA |
| 113 | WAKISO |
| 114 | LYANTONDE |
| 115 | MITYANA |
| 116 | NAKASEKE |
| 117 | BUIKWE |
| 118 | BUKOMANSIMBI |
| 119 | BUTAMBALA |
| 120 | BUVUMA |
| 121 | GOMBA |
| 122 | KALUNGU |
| 123 | KYANKWANZI |
| 124 | LWENGO |
| 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 | Amuria |
| 217 | Budaka |
| 218 | Bududa |
| 219 | Bukedea |
| 220 | Bukwo |
| 221 | Butaleja |
| 222 | Kaliro |
| 223 | Manafwa |
| 224 | Namutumba |
| 225 | Bulambuli |
| 226 | BUYENDE |
| 227 | Kibuku |
| 228 | Kween |
| 229 | LUUKA |
| 230 | NAMAYINGO |
| 231 | Ngora |
| 232 | Serere (from soroti) |
| 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 | Amuru |
| 317 | Dokolo |
| 318 | Kaabong |
| 319 | Koboko |
| 320 | Maracha |
| 321 | Oyam |
| 322 | Agago |
| 323 | Alebtong |
| 324 | Amudat |
| 325 | Kole |
| 326 | Lamwo |
| 327 | Napak |
| 328 | Nwoya |
| 329 | Otuke (from Lira) |
| 330 | Zombo |
| 401 | Bundibugyo |
| 402 | Bushenyi |
| 403 | Hoima |
| 404 | Kabale |
| 405 | Kabarole |
| 406 | Kasese |
| 407 | Kibaale |
| 408 | Kisoro |
| 409 | Masindi |
| 410 | Mbarara |
| 411 | Ntugamo |
| 412 | Rukungiri |
| 413 | Kamwenge |
| 414 | Kanungu |
| 415 | Kyenjojo |
| 416 | Buliisa |
| 417 | Ibanda |
| 418 | Isingiro |
| 419 | Kiruhura |
| 420 | Buhweju |
| 421 | Kiryandongo |
| 422 | KYEGEGWA |
| 424 | NTOROKO |
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.