| Value |
Category |
| 102 |
Kampala |
| 104 |
Luwero |
| 105 |
Masaka |
| 106 |
Mpigi |
| 107 |
Mubende |
| 108 |
Mukono |
| 109 |
Nakasongola |
| 110 |
Rakai |
| 111 |
Ssembabule |
| 112 |
Kayunga |
| 113 |
Wakiso |
| 115 |
Mityana |
| 117 |
Buikwe |
| 118 |
Bukomansimbi |
| 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 |
| 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 |
Amolatar |
| 316 |
Amuru |
| 317 |
Dokolo |
| 318 |
Kaabong |
| 319 |
Koboko |
| 320 |
Maracha |
| 321 |
Oyam |
| 322 |
Agago |
| 323 |
Alebtong |
| 325 |
Kole |
| 326 |
Lamwo |
| 327 |
Napak |
| 328 |
Nwoya |
| 329 |
Otuke |
| 330 |
Zombo |
| 401 |
Bundibugyo |
| 402 |
Bushenyi |
| 403 |
Hoima |
| 404 |
Kabale |
| 405 |
Kabarole |
| 406 |
Kasese |
| 407 |
Kibaale |
| 408 |
Kisoro |
| 410 |
Mbarara |
| 411 |
Ntungamo |
| 412 |
Rukungiri |
| 413 |
Kamwenge |
| 414 |
Kanungu |
| 415 |
Kyenjojo |
| 416 |
Buliisa |
| 417 |
Ibanda |
| 418 |
Isingiro |
| 419 |
Kiruhura |
| 422 |
Kyegegwa |
| 423 |
Mitooma |
| 424 |
Ntoroko |
| 425 |
Rubirizi |
| 426 |
Sheema |
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.