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
69974
Downloads
30
District name (district)
Data file: S1_PH_SEC9_TEMP_CROPS
Overview
Valid:
17880
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
15
Range:
101 - 429
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | KALANGALA | 9 |
0.1%
|
| 103 | KIBOGA | 57 |
0.3%
|
| 104 | LUWERO | 284 |
1.6%
|
| 105 | MASAKA | 108 |
0.6%
|
| 106 | MPIGI | 75 |
0.4%
|
| 107 | MUBENDE | 306 |
1.7%
|
| 108 | MUKONO | 253 |
1.4%
|
| 109 | NAKASONGOLA | 131 |
0.7%
|
| 110 | RAKAI | 192 |
1.1%
|
| 111 | SSEMBABULE | 78 |
0.4%
|
| 112 | KAYUNGA | 207 |
1.2%
|
| 113 | WAKISO | 145 |
0.8%
|
| 114 | LYANTONDE | 61 |
0.3%
|
| 115 | MITYANA | 173 |
1%
|
| 116 | NAKASEKE | 81 |
0.5%
|
| 117 | BUIKWE | 190 |
1.1%
|
| 118 | BUKOMANSIMBI | 63 |
0.4%
|
| 119 | BUTAMBALA | 43 |
0.2%
|
| 120 | BUVUMA | 41 |
0.2%
|
| 121 | GOMBA | 58 |
0.3%
|
| 122 | KALUNGU | 84 |
0.5%
|
| 123 | KYANKWANZI | 134 |
0.7%
|
| 124 | LWENGO | 109 |
0.6%
|
| 201 | BUGIRI | 122 |
0.7%
|
| 202 | BUSIA | 166 |
0.9%
|
| 203 | IGANGA | 195 |
1.1%
|
| 204 | JINJA | 135 |
0.8%
|
| 205 | KAMULI | 171 |
1%
|
| 206 | KAPCHORWA | 88 |
0.5%
|
| 207 | KATAKWI | 95 |
0.5%
|
| 208 | KUMI | 154 |
0.9%
|
| 209 | MBALE | 387 |
2.2%
|
| 210 | PALLISA | 267 |
1.5%
|
| 211 | SOROTI | 131 |
0.7%
|
| 212 | TORORO | 380 |
2.1%
|
| 213 | KABERAMAIDO | 142 |
0.8%
|
| 214 | MAYUGE | 153 |
0.9%
|
| 215 | SIRONKO | 201 |
1.1%
|
| 216 | AMURIA | 211 |
1.2%
|
| 217 | BUDAKA | 144 |
0.8%
|
| 218 | BUDUDA | 159 |
0.9%
|
| 219 | BUKEDEA | 182 |
1%
|
| 220 | BUKWO | 16 |
0.1%
|
| 221 | BUTALEJA | 187 |
1%
|
| 222 | KALIRO | 99 |
0.6%
|
| 223 | MANAFWA | 376 |
2.1%
|
| 224 | NAMUTUMBA | 94 |
0.5%
|
| 225 | BULAMBULI | 114 |
0.6%
|
| 226 | BUYENDE | 33 |
0.2%
|
| 227 | KIBUKU | 148 |
0.8%
|
| 228 | KWEEN | 36 |
0.2%
|
| 229 | LUUKA | 115 |
0.6%
|
| 230 | NAMAYINGO | 90 |
0.5%
|
| 231 | NGORA | 104 |
0.6%
|
| 232 | SERERE | 176 |
1%
|
| 301 | ADJUMANI | 115 |
0.6%
|
| 302 | APAC | 204 |
1.1%
|
| 303 | ARUA | 386 |
2.2%
|
| 304 | GULU | 201 |
1.1%
|
| 305 | KITGUM | 196 |
1.1%
|
| 306 | KOTIDO | 75 |
0.4%
|
| 307 | LIRA | 177 |
1%
|
| 308 | MOROTO | 37 |
0.2%
|
| 309 | MOYO | 106 |
0.6%
|
| 310 | NEBBI | 125 |
0.7%
|
| 311 | NAKAPIRIPIRIT | 67 |
0.4%
|
| 312 | PADER | 159 |
0.9%
|
| 313 | YUMBE | 168 |
0.9%
|
| 314 | ABIM | 82 |
0.5%
|
| 315 | AMOLATAR | 76 |
0.4%
|
| 316 | AMURU | 232 |
1.3%
|
| 317 | DOKOLO | 104 |
0.6%
|
| 318 | KAABONG | 117 |
0.7%
|
| 319 | KOBOKO | 65 |
0.4%
|
| 320 | MARACHA | 84 |
0.5%
|
| 321 | OYAM | 174 |
1%
|
| 322 | AGAGO | 293 |
1.6%
|
| 323 | ALEBTONG | 196 |
1.1%
|
| 324 | AMUDAT | 59 |
0.3%
|
| 325 | KOLE | 179 |
1%
|
| 326 | LAMWO | 89 |
0.5%
|
| 327 | NAPAK | 75 |
0.4%
|
| 328 | NWOYA | 93 |
0.5%
|
| 329 | OTUKE | 75 |
0.4%
|
| 330 | ZOMBO | 129 |
0.7%
|
| 331 | OMORO | 157 |
0.9%
|
| 401 | BUNDIBUGYO | 114 |
0.6%
|
| 402 | BUSHENYI | 142 |
0.8%
|
| 403 | HOIMA | 417 |
2.3%
|
| 404 | KABALE | 281 |
1.6%
|
| 405 | KABAROLE | 274 |
1.5%
|
| 406 | KASESE | 366 |
2%
|
| 407 | KIBAALE | 126 |
0.7%
|
| 408 | KISORO | 215 |
1.2%
|
| 409 | MASINDI | 151 |
0.8%
|
| 410 | MBARARA | 202 |
1.1%
|
| 411 | NTUNGAMO | 290 |
1.6%
|
| 412 | RUKUNGIRI | 299 |
1.7%
|
| 413 | KAMWENGE | 246 |
1.4%
|
| 414 | KANUNGU | 273 |
1.5%
|
| 415 | KYENJOJO | 229 |
1.3%
|
| 416 | BULIISA | 2 |
0%
|
| 417 | IBANDA | 136 |
0.8%
|
| 418 | ISINGIRO | 271 |
1.5%
|
| 419 | KIRUHURA | 204 |
1.1%
|
| 420 | BUHWEJU | 60 |
0.3%
|
| 421 | KIRYANDONGO | 92 |
0.5%
|
| 422 | KYEGEGWA | 212 |
1.2%
|
| 423 | MITOOMA | 96 |
0.5%
|
| 425 | RUBIRIZI | 68 |
0.4%
|
| 426 | SHEEMA | 155 |
0.9%
|
| 427 | KAGADI | 265 |
1.5%
|
| 428 | KAKUMIRO | 261 |
1.5%
|
| 429 | RUBANDA | 185 |
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.