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
Feb 26, 2026
Page views
3931
Downloads
6368
District (DIST)
Data file: Crop Large Scale Farmers
Overview
Valid:
5535
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
4
Range:
101 - 1016
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 66 |
1.2%
|
| 102 | Chisamba | 128 |
2.3%
|
| 103 | Chitambo | 51 |
0.9%
|
| 104 | Kabwe | 240 |
4.3%
|
| 105 | Kapiri Mposhi | 366 |
6.6%
|
| 106 | Luano | 173 |
3.1%
|
| 107 | Mkushi | 201 |
3.6%
|
| 108 | Mumbwa | 286 |
5.2%
|
| 109 | Ngabwe | 119 |
2.1%
|
| 110 | Serenje | 75 |
1.4%
|
| 111 | Shibuyunji | 66 |
1.2%
|
| 201 | Chililabombwe | 25 |
0.5%
|
| 202 | Chingola | 35 |
0.6%
|
| 203 | Kalulushi | 5 |
0.1%
|
| 204 | Kitwe | 54 |
1%
|
| 205 | Luanshya | 6 |
0.1%
|
| 206 | Lufwanyama | 441 |
8%
|
| 207 | Masaiti | 0 |
0%
|
| 208 | Mpongwe | 337 |
6.1%
|
| 209 | Mufulira | 30 |
0.5%
|
| 210 | Ndola | 10 |
0.2%
|
| 301 | Chadiza | 29 |
0.5%
|
| 302 | Chama | 0 |
0%
|
| 303 | Chasefu | 30 |
0.5%
|
| 304 | Chipangali | 74 |
1.3%
|
| 305 | Chipata | 19 |
0.3%
|
| 306 | Kasenengwa | 5 |
0.1%
|
| 307 | Katete | 98 |
1.8%
|
| 308 | Lumezi | 62 |
1.1%
|
| 309 | Lundazi | 165 |
3%
|
| 310 | Lusangazi | 11 |
0.2%
|
| 311 | Mambwe | 30 |
0.5%
|
| 312 | Nyimba | 17 |
0.3%
|
| 313 | Petauke | 40 |
0.7%
|
| 314 | Sinda | 22 |
0.4%
|
| 315 | Vubwi | 54 |
1%
|
| 401 | Chembe | 15 |
0.3%
|
| 402 | Chienge | 0 |
0%
|
| 403 | Chifunabuli | 22 |
0.4%
|
| 404 | Chipili | 16 |
0.3%
|
| 405 | Kawambwa | 36 |
0.7%
|
| 406 | Lunga | 0 |
0%
|
| 407 | Mansa | 79 |
1.4%
|
| 408 | Milenge | 15 |
0.3%
|
| 409 | Mwansabombwe | 1 |
0%
|
| 410 | Mwense | 13 |
0.2%
|
| 411 | Nchelenge | 27 |
0.5%
|
| 412 | Samfya | 21 |
0.4%
|
| 501 | Chilanga | 52 |
0.9%
|
| 502 | Chongwe | 72 |
1.3%
|
| 503 | Kafue | 26 |
0.5%
|
| 504 | Luangwa | 0 |
0%
|
| 505 | Lusaka | 15 |
0.3%
|
| 506 | Rufunsa | 0 |
0%
|
| 601 | Chinsali | 7 |
0.1%
|
| 602 | Isoka | 11 |
0.2%
|
| 603 | Kanchibiya | 4 |
0.1%
|
| 604 | Lavushimanda | 9 |
0.2%
|
| 605 | Mafinga | 3 |
0.1%
|
| 606 | Mpika | 48 |
0.9%
|
| 607 | Nakonde | 8 |
0.1%
|
| 608 | Shiwang'andu | 8 |
0.1%
|
| 701 | Chilubi | 0 |
0%
|
| 702 | Kaputa | 0 |
0%
|
| 703 | Kasama | 15 |
0.3%
|
| 704 | Lunte | 4 |
0.1%
|
| 705 | Lupososhi | 1 |
0%
|
| 706 | Luwingu | 0 |
0%
|
| 707 | Mbala | 69 |
1.2%
|
| 708 | Mporokoso | 4 |
0.1%
|
| 709 | Mpulungu | 0 |
0%
|
| 710 | Mungwi | 11 |
0.2%
|
| 711 | Nsama | 0 |
0%
|
| 712 | Senga Hill | 0 |
0%
|
| 801 | Chavuma | 0 |
0%
|
| 802 | Ikelenge | 0 |
0%
|
| 803 | Kabompo | 2 |
0%
|
| 804 | Kalumbila | 188 |
3.4%
|
| 805 | Kasempa | 314 |
5.7%
|
| 806 | Manyinga | 0 |
0%
|
| 807 | Mufumbwe | 54 |
1%
|
| 808 | Mushindamo | 29 |
0.5%
|
| 809 | Mwinilunga | 4 |
0.1%
|
| 810 | Solwezi | 19 |
0.3%
|
| 811 | Zambezi | 0 |
0%
|
| 901 | Chikankata | 34 |
0.6%
|
| 902 | Chirundu | 0 |
0%
|
| 903 | Choma | 81 |
1.5%
|
| 904 | Gwembe | 0 |
0%
|
| 905 | Itezhi Tezhi | 142 |
2.6%
|
| 906 | Kalomo | 141 |
2.5%
|
| 907 | Kazungula | 20 |
0.4%
|
| 908 | Livingstone | 28 |
0.5%
|
| 909 | Mazabuka | 56 |
1%
|
| 910 | Monze | 196 |
3.5%
|
| 911 | Namwala | 31 |
0.6%
|
| 912 | Pemba | 24 |
0.4%
|
| 913 | Siavonga | 3 |
0.1%
|
| 914 | Sinazongwe | 0 |
0%
|
| 915 | Zimba | 40 |
0.7%
|
| 1001 | Kalabo | 0 |
0%
|
| 1002 | Kaoma | 25 |
0.5%
|
| 1003 | Limulunga | 0 |
0%
|
| 1004 | Luampa | 0 |
0%
|
| 1005 | Lukulu | 4 |
0.1%
|
| 1006 | Mitete | 0 |
0%
|
| 1007 | Mongu | 2 |
0%
|
| 1008 | Mulobezi | 0 |
0%
|
| 1009 | Mwandi | 0 |
0%
|
| 1010 | Nalolo | 0 |
0%
|
| 1011 | Nkeyema | 111 |
2%
|
| 1012 | Senanga | 0 |
0%
|
| 1013 | Sesheke | 0 |
0%
|
| 1014 | Shang'ombo | 4 |
0.1%
|
| 1015 | Sikongo | 1 |
0%
|
| 1016 | Sioma | 0 |
0%
|
| -999999999 | missing | 0 |
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.