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
19078
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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 (district)
Data file: hsec1.dta
Overview
Valid:
2209
Invalid:
-
Minimum:
102
Maximum:
422
Mean:
307.513807152558
Standard deviation:
110.463536324361
Type:
Discrete
Range:
-
Format:
Numeric
Questions and instructions
Literal question
District
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.
Description
Source of information
District
Imputation and derivation
Imputation
District
Others
Security
District