National Agricultural Sample Survey 2023
Agricultural Household Survey
Nigeria, 2022
Get Microdata
Reference ID
NGA_2023_NASS_v01_M_v01_A_ESS
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
Feb 03, 2026
Last modified
Feb 03, 2026
- Data files
- 1_households
- 2_hh_member
- 3_Plot_mainSeason
- 4_Crop_mainSeason
- 5_Harvest_mainSeason
- 6_Permanent_Crops
- 7_Harvested_PermCrops
- 8_Seed_use_mainSeason
- 9_Input_use_mainSeason
- 10_Plots_drySeason
- 11_Crops_drySeason
- 12_Harvest_drySeason
- 13_Seed_use_drySeason
- 14_Input_use_drySeason
- 15_Livestock
- 16_Livestock_products
- 17_Fish_Farming
- 18_Fish_Capture
- 19_Forestry_production
- 20_Labor
- 21_Holdings
STATE (state_id)
Data file: 11_Crops_drySeason
Overview
Valid:
34891
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
8
End:
9
Width:
2
Range:
1 - 37
Format:
Numeric
Questions and instructions
Question pretext
STATE
Literal question
STATE
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | SOKOTO | 1501 |
4.3%
|
| 2 | ZAMFARA | 293 |
0.8%
|
| 3 | KATSINA | 524 |
1.5%
|
| 4 | JIGAWA | 1152 |
3.3%
|
| 5 | YOBE | 355 |
1%
|
| 6 | BORNO | 600 |
1.7%
|
| 7 | ADAMAWA | 292 |
0.8%
|
| 8 | GOMBE | 283 |
0.8%
|
| 9 | BAUCHI | 1001 |
2.9%
|
| 10 | KANO | 3091 |
8.9%
|
| 11 | KADUNA | 1628 |
4.7%
|
| 12 | KEBBI | 1620 |
4.6%
|
| 13 | NIGER | 509 |
1.5%
|
| 14 | FCT | 133 |
0.4%
|
| 15 | NASARAWA | 136 |
0.4%
|
| 16 | PLATEAU | 883 |
2.5%
|
| 17 | TARABA | 148 |
0.4%
|
| 18 | BENUE | 225 |
0.6%
|
| 19 | KOGI | 775 |
2.2%
|
| 20 | KWARA | 489 |
1.4%
|
| 21 | OYO | 1625 |
4.7%
|
| 22 | OSUN | 1179 |
3.4%
|
| 23 | EKITI | 321 |
0.9%
|
| 24 | ONDO | 835 |
2.4%
|
| 25 | EDO | 723 |
2.1%
|
| 26 | ANAMBRA | 311 |
0.9%
|
| 27 | ENUGU | 665 |
1.9%
|
| 28 | EBONYI | 450 |
1.3%
|
| 29 | CROSS RIVER | 365 |
1%
|
| 30 | AKWA IBOM | 1224 |
3.5%
|
| 31 | ABIA | 337 |
1%
|
| 32 | IMO | 339 |
1%
|
| 33 | RIVERS | 2007 |
5.8%
|
| 34 | BAYELSA | 5339 |
15.3%
|
| 35 | DELTA | 2113 |
6.1%
|
| 36 | LAGOS | 333 |
1%
|
| 37 | OGUN | 1087 |
3.1%
|
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.