2024-2025 Crop Forecasting Survey
40th edition
Zambia, 2025
Get Microdata
Reference ID
ZMB-ZSA-CFS-2024-25-V1.0
Producer(s)
Zambia Statistics Agency,
Metadata
Created on
Jan 16, 2026
Last modified
Jan 20, 2026
Page views
1032
Downloads
20
District Name (DIST)
Data file: Crop Small and Meduim scale Farmers
Overview
Valid:
32031
Invalid:
0
Type:
Discrete
Width:
36
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| CHADIZA | 316 |
1%
|
|
| CHAMA | 341 |
1.1%
|
|
| CHASEFU | 415 |
1.3%
|
|
| CHAVUMA | 81 |
0.3%
|
|
| CHEMBE | 71 |
0.2%
|
|
| CHIBOMBO | 579 |
1.8%
|
|
| CHIENGE | 320 |
1%
|
|
| CHIFUNABULI | 172 |
0.5%
|
|
| CHIKANKATA | 208 |
0.6%
|
|
| CHILANGA | 184 |
0.6%
|
|
| CHILILABOMBWE | 127 |
0.4%
|
|
| CHILUBI | 101 |
0.3%
|
|
| CHINGOLA | 69 |
0.2%
|
|
| CHINSALI | 275 |
0.9%
|
|
| CHIPANGA | 674 |
2.1%
|
|
| CHIPATA | 393 |
1.2%
|
|
| CHIPILI | 217 |
0.7%
|
|
| CHIRUNDU | 230 |
0.7%
|
|
| CHISAMBA | 470 |
1.5%
|
|
| CHITAMBO | 119 |
0.4%
|
|
| CHOMA | 544 |
1.7%
|
|
| CHONGWE | 281 |
0.9%
|
|
| GWEMBE | 193 |
0.6%
|
|
| IKELENGE | 47 |
0.1%
|
|
| ISOKA | 184 |
0.6%
|
|
| ITEZHI TEZHI | 329 |
1%
|
|
| KABOMPO | 120 |
0.4%
|
|
| KABWE | 181 |
0.6%
|
|
| KAFUE | 146 |
0.5%
|
|
| KALABO | 194 |
0.6%
|
|
| KALOMO | 638 |
2%
|
|
| KALULUSH | 110 |
0.3%
|
|
| KALUMBILA | 251 |
0.8%
|
|
| KANCHIBIYA | 268 |
0.8%
|
|
| KAOMA | 140 |
0.4%
|
|
| KAPIRI MPOSHI | 1048 |
3.3%
|
|
| KAPUTA | 229 |
0.7%
|
|
| KASAMA | 642 |
2%
|
|
| KASEMPA | 144 |
0.4%
|
|
| KASENENGWA | 465 |
1.5%
|
|
| KATETE | 701 |
2.2%
|
|
| KAWAMBWA | 465 |
1.5%
|
|
| KAZUNGULA | 525 |
1.6%
|
|
| KITWE | 215 |
0.7%
|
|
| LAVUSHIMANDA | 141 |
0.4%
|
|
| LIMULINGA | 88 |
0.3%
|
|
| LIVINGSTONE | 86 |
0.3%
|
|
| LUAMPA | 139 |
0.4%
|
|
| LUANGWA | 62 |
0.2%
|
|
| LUANO | 309 |
1%
|
|
| LUANSHYA | 169 |
0.5%
|
|
| LUFWANYAMA | 230 |
0.7%
|
|
| LUKULU | 182 |
0.6%
|
|
| LUMEZI | 407 |
1.3%
|
|
| LUNDAZI | 383 |
1.2%
|
|
| LUNGA | 59 |
0.2%
|
|
| LUNTE | 350 |
1.1%
|
|
| LUPOSOSHI | 132 |
0.4%
|
|
| LUSAKA | 79 |
0.2%
|
|
| LUSANGAZI | 381 |
1.2%
|
|
| LUWINGU | 269 |
0.8%
|
|
| MAFINGA | 372 |
1.2%
|
|
| MAMBWE | 367 |
1.1%
|
|
| MANSA | 385 |
1.2%
|
|
| MANYINGA | 113 |
0.4%
|
|
| MASAITI | 253 |
0.8%
|
|
| MAZABUKA | 360 |
1.1%
|
|
| MBALA | 558 |
1.7%
|
|
| MILENGE | 179 |
0.6%
|
|
| MITETE | 106 |
0.3%
|
|
| MKUSHI | 406 |
1.3%
|
|
| MONGU | 261 |
0.8%
|
|
| MONZE | 1262 |
3.9%
|
|
| MPIKA | 221 |
0.7%
|
|
| MPONGWE | 202 |
0.6%
|
|
| MPOROKOSO | 259 |
0.8%
|
|
| MPULUNGU | 243 |
0.8%
|
|
| MUFULIRA | 103 |
0.3%
|
|
| MUFUMBWE | 244 |
0.8%
|
|
| MULOBEZI | 83 |
0.3%
|
|
| MUMBWA | 771 |
2.4%
|
|
| MUNGWI | 664 |
2.1%
|
|
| MUSHINDAMO | 67 |
0.2%
|
|
| MWANDI | 66 |
0.2%
|
|
| MWANSABOMBWE | 206 |
0.6%
|
|
| MWENSE | 262 |
0.8%
|
|
| MWINILUNGA | 219 |
0.7%
|
|
| Mwense | 28 |
0.1%
|
|
| NAKONDE | 217 |
0.7%
|
|
| NALOLO | 212 |
0.7%
|
|
| NAMWALA | 454 |
1.4%
|
|
| NCHELENGE | 417 |
1.3%
|
|
| NDOLA | 69 |
0.2%
|
|
| NGABWE | 111 |
0.3%
|
|
| NKEYEMA | 127 |
0.4%
|
|
| NSAMA | 39 |
0.1%
|
|
| NYIMBA | 379 |
1.2%
|
|
| PEMBA | 467 |
1.5%
|
|
| PETAUKE | 517 |
1.6%
|
|
| RUFUNSA | 70 |
0.2%
|
|
| SAMFYA | 130 |
0.4%
|
|
| SENANGA | 155 |
0.5%
|
|
| SENGA HILL | 336 |
1%
|
|
| SERENJE | 275 |
0.9%
|
|
| SESHEKE | 55 |
0.2%
|
|
| SHANG'OMBO | 217 |
0.7%
|
|
| SHIBUYUNJI | 182 |
0.6%
|
|
| SHIWANG'ANDU | 149 |
0.5%
|
|
| SIAVONGA | 111 |
0.3%
|
|
| SIKONGO | 126 |
0.4%
|
|
| SINAZONGWE | 201 |
0.6%
|
|
| SINDA | 692 |
2.2%
|
|
| SIOMA | 188 |
0.6%
|
|
| SOLWEZI | 167 |
0.5%
|
|
| VUBWI | 216 |
0.7%
|
|
| ZAMBEZI | 206 |
0.6%
|
|
| ZIMBA | 398 |
1.2%
|
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.