Annual Agricultural Survey - 2020
Uganda, 2020 - 2021
Reference ID
UGA-UBOS-AAS-2020-v01
Producer(s)
Uganda Bureau of Statistics (UBOS)
Metadata
Created on
Jun 26, 2024
Last modified
Sep 20, 2025
Page views
69917
Downloads
30
District name (district)
Data file: S1_PH_SEC10_PERM_CROPS
Overview
Valid:
1779
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
15
Range:
101 - 429
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | KALANGALA | 1 |
0.1%
|
| 103 | KIBOGA | 11 |
0.6%
|
| 104 | LUWERO | 63 |
3.5%
|
| 105 | MASAKA | 24 |
1.3%
|
| 106 | MPIGI | 15 |
0.8%
|
| 107 | MUBENDE | 44 |
2.5%
|
| 108 | MUKONO | 48 |
2.7%
|
| 109 | NAKASONGOLA | 10 |
0.6%
|
| 110 | RAKAI | 38 |
2.1%
|
| 111 | SSEMBABULE | 24 |
1.3%
|
| 112 | KAYUNGA | 33 |
1.9%
|
| 113 | WAKISO | 25 |
1.4%
|
| 114 | LYANTONDE | 8 |
0.4%
|
| 115 | MITYANA | 42 |
2.4%
|
| 116 | NAKASEKE | 22 |
1.2%
|
| 117 | BUIKWE | 42 |
2.4%
|
| 118 | BUKOMANSIMBI | 26 |
1.5%
|
| 119 | BUTAMBALA | 15 |
0.8%
|
| 120 | BUVUMA | 7 |
0.4%
|
| 121 | GOMBA | 13 |
0.7%
|
| 122 | KALUNGU | 22 |
1.2%
|
| 123 | KYANKWANZI | 21 |
1.2%
|
| 124 | LWENGO | 21 |
1.2%
|
| 201 | BUGIRI | 5 |
0.3%
|
| 202 | BUSIA | 1 |
0.1%
|
| 203 | IGANGA | 33 |
1.9%
|
| 204 | JINJA | 22 |
1.2%
|
| 205 | KAMULI | 42 |
2.4%
|
| 206 | KAPCHORWA | 30 |
1.7%
|
| 207 | KATAKWI | 0 |
0%
|
| 208 | KUMI | 0 |
0%
|
| 209 | MBALE | 44 |
2.5%
|
| 210 | PALLISA | 1 |
0.1%
|
| 211 | SOROTI | 0 |
0%
|
| 212 | TORORO | 4 |
0.2%
|
| 213 | KABERAMAIDO | 0 |
0%
|
| 214 | MAYUGE | 18 |
1%
|
| 215 | SIRONKO | 50 |
2.8%
|
| 216 | AMURIA | 0 |
0%
|
| 217 | BUDAKA | 0 |
0%
|
| 218 | BUDUDA | 35 |
2%
|
| 219 | BUKEDEA | 0 |
0%
|
| 220 | BUKWO | 0 |
0%
|
| 221 | BUTALEJA | 2 |
0.1%
|
| 222 | KALIRO | 7 |
0.4%
|
| 223 | MANAFWA | 51 |
2.9%
|
| 224 | NAMUTUMBA | 5 |
0.3%
|
| 225 | BULAMBULI | 17 |
1%
|
| 226 | BUYENDE | 0 |
0%
|
| 227 | KIBUKU | 2 |
0.1%
|
| 228 | KWEEN | 0 |
0%
|
| 229 | LUUKA | 20 |
1.1%
|
| 230 | NAMAYINGO | 2 |
0.1%
|
| 231 | NGORA | 0 |
0%
|
| 232 | SERERE | 0 |
0%
|
| 301 | ADJUMANI | 0 |
0%
|
| 302 | APAC | 1 |
0.1%
|
| 303 | ARUA | 1 |
0.1%
|
| 304 | GULU | 2 |
0.1%
|
| 305 | KITGUM | 0 |
0%
|
| 306 | KOTIDO | 0 |
0%
|
| 307 | LIRA | 2 |
0.1%
|
| 308 | MOROTO | 0 |
0%
|
| 309 | MOYO | 0 |
0%
|
| 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 | 3 |
0.2%
|
| 321 | OYAM | 0 |
0%
|
| 322 | AGAGO | 0 |
0%
|
| 323 | ALEBTONG | 0 |
0%
|
| 324 | AMUDAT | 0 |
0%
|
| 325 | KOLE | 0 |
0%
|
| 326 | LAMWO | 0 |
0%
|
| 327 | NAPAK | 0 |
0%
|
| 328 | NWOYA | 0 |
0%
|
| 329 | OTUKE | 0 |
0%
|
| 330 | ZOMBO | 18 |
1%
|
| 331 | OMORO | 0 |
0%
|
| 401 | BUNDIBUGYO | 6 |
0.3%
|
| 402 | BUSHENYI | 43 |
2.4%
|
| 403 | HOIMA | 27 |
1.5%
|
| 404 | KABALE | 4 |
0.2%
|
| 405 | KABAROLE | 20 |
1.1%
|
| 406 | KASESE | 91 |
5.1%
|
| 407 | KIBAALE | 17 |
1%
|
| 408 | KISORO | 1 |
0.1%
|
| 409 | MASINDI | 15 |
0.8%
|
| 410 | MBARARA | 28 |
1.6%
|
| 411 | NTUNGAMO | 53 |
3%
|
| 412 | RUKUNGIRI | 63 |
3.5%
|
| 413 | KAMWENGE | 37 |
2.1%
|
| 414 | KANUNGU | 75 |
4.2%
|
| 415 | KYENJOJO | 35 |
2%
|
| 416 | BULIISA | 0 |
0%
|
| 417 | IBANDA | 35 |
2%
|
| 418 | ISINGIRO | 14 |
0.8%
|
| 419 | KIRUHURA | 15 |
0.8%
|
| 420 | BUHWEJU | 15 |
0.8%
|
| 421 | KIRYANDONGO | 1 |
0.1%
|
| 422 | KYEGEGWA | 16 |
0.9%
|
| 423 | MITOOMA | 31 |
1.7%
|
| 425 | RUBIRIZI | 11 |
0.6%
|
| 426 | SHEEMA | 50 |
2.8%
|
| 427 | KAGADI | 40 |
2.2%
|
| 428 | KAKUMIRO | 42 |
2.4%
|
| 429 | RUBANDA | 1 |
0.1%
|
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.