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
2. How many %rostertitle% did this holding buy alive in the past 12 months (s04b_q02)
Data file: 15_Livestock
Overview
Valid:
197010
Invalid:
119276
Type:
Discrete
Decimal:
0
Start:
52
End:
54
Width:
3
Range:
0 - 500
Format:
Numeric
Questions and instructions
Literal question
How many %rostertitle% did this holding buy alive in the past 12 months
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | None | 136993 |
69.5%
|
| 1 | 20519 |
10.4%
|
|
| 2 | 19275 |
9.8%
|
|
| 3 | 7101 |
3.6%
|
|
| 4 | 3769 |
1.9%
|
|
| 5 | 3652 |
1.9%
|
|
| 6 | 1491 |
0.8%
|
|
| 7 | 729 |
0.4%
|
|
| 8 | 768 |
0.4%
|
|
| 9 | 220 |
0.1%
|
|
| 10 | 943 |
0.5%
|
|
| 11 | 72 |
0%
|
|
| 12 | 192 |
0.1%
|
|
| 13 | 61 |
0%
|
|
| 14 | 69 |
0%
|
|
| 15 | 287 |
0.1%
|
|
| 16 | 31 |
0%
|
|
| 17 | 27 |
0%
|
|
| 18 | 45 |
0%
|
|
| 19 | 15 |
0%
|
|
| 20 | 216 |
0.1%
|
|
| 21 | 12 |
0%
|
|
| 22 | 22 |
0%
|
|
| 23 | 13 |
0%
|
|
| 24 | 15 |
0%
|
|
| 25 | 79 |
0%
|
|
| 26 | 10 |
0%
|
|
| 27 | 1 |
0%
|
|
| 28 | 11 |
0%
|
|
| 29 | 3 |
0%
|
|
| 30 | 96 |
0%
|
|
| 31 | 4 |
0%
|
|
| 32 | 8 |
0%
|
|
| 33 | 6 |
0%
|
|
| 34 | 1 |
0%
|
|
| 35 | 24 |
0%
|
|
| 36 | 4 |
0%
|
|
| 37 | 5 |
0%
|
|
| 38 | 4 |
0%
|
|
| 39 | 3 |
0%
|
|
| 40 | 27 |
0%
|
|
| 41 | 1 |
0%
|
|
| 42 | 6 |
0%
|
|
| 43 | 1 |
0%
|
|
| 44 | 1 |
0%
|
|
| 45 | 14 |
0%
|
|
| 47 | 2 |
0%
|
|
| 48 | 3 |
0%
|
|
| 50 | 71 |
0%
|
|
| 51 | 1 |
0%
|
|
| 52 | 3 |
0%
|
|
| 53 | 2 |
0%
|
|
| 55 | 3 |
0%
|
|
| 56 | 2 |
0%
|
|
| 58 | 1 |
0%
|
|
| 59 | 2 |
0%
|
|
| 60 | 8 |
0%
|
|
| 64 | 1 |
0%
|
|
| 65 | 2 |
0%
|
|
| 66 | 1 |
0%
|
|
| 68 | 1 |
0%
|
|
| 70 | 4 |
0%
|
|
| 75 | 2 |
0%
|
|
| 76 | 1 |
0%
|
|
| 80 | 8 |
0%
|
|
| 83 | 1 |
0%
|
|
| 85 | 1 |
0%
|
|
| 90 | 2 |
0%
|
|
| 94 | 1 |
0%
|
|
| 100 | 20 |
0%
|
|
| 105 | 1 |
0%
|
|
| 108 | 1 |
0%
|
|
| 142 | 1 |
0%
|
|
| 147 | 1 |
0%
|
|
| 150 | 1 |
0%
|
|
| 190 | 1 |
0%
|
|
| 200 | 5 |
0%
|
|
| 222 | 1 |
0%
|
|
| 250 | 1 |
0%
|
|
| 258 | 1 |
0%
|
|
| 300 | 2 |
0%
|
|
| 340 | 1 |
0%
|
|
| 400 | 1 |
0%
|
|
| 500 | 3 |
0%
|
|
| Sysmiss | 119276 |
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.