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
How many were born in the past 3 months? (s04c_q01)
Data file: 15_Livestock
Overview
Valid:
119276
Invalid:
197010
Type:
Discrete
Decimal:
0
Start:
99
End:
103
Width:
5
Range:
0 - 23000
Format:
Numeric
Questions and instructions
Literal question
How many were born in the past 3 months?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | None | 44204 |
37.1%
|
| 1 | 2864 |
2.4%
|
|
| 2 | 9091 |
7.6%
|
|
| 3 | 8691 |
7.3%
|
|
| 4 | 7188 |
6%
|
|
| 5 | 10440 |
8.8%
|
|
| 6 | 6093 |
5.1%
|
|
| 7 | 3507 |
2.9%
|
|
| 8 | 5128 |
4.3%
|
|
| 9 | 1758 |
1.5%
|
|
| 10 | 5588 |
4.7%
|
|
| 11 | 778 |
0.7%
|
|
| 12 | 2371 |
2%
|
|
| 13 | 888 |
0.7%
|
|
| 14 | 719 |
0.6%
|
|
| 15 | 2706 |
2.3%
|
|
| 16 | 595 |
0.5%
|
|
| 17 | 327 |
0.3%
|
|
| 18 | 650 |
0.5%
|
|
| 19 | 192 |
0.2%
|
|
| 20 | 1631 |
1.4%
|
|
| 21 | 165 |
0.1%
|
|
| 22 | 196 |
0.2%
|
|
| 23 | 157 |
0.1%
|
|
| 24 | 174 |
0.1%
|
|
| 25 | 551 |
0.5%
|
|
| 26 | 109 |
0.1%
|
|
| 27 | 63 |
0.1%
|
|
| 28 | 122 |
0.1%
|
|
| 29 | 37 |
0%
|
|
| 30 | 633 |
0.5%
|
|
| 31 | 36 |
0%
|
|
| 32 | 67 |
0.1%
|
|
| 33 | 27 |
0%
|
|
| 34 | 20 |
0%
|
|
| 35 | 128 |
0.1%
|
|
| 36 | 59 |
0%
|
|
| 37 | 18 |
0%
|
|
| 38 | 29 |
0%
|
|
| 39 | 8 |
0%
|
|
| 40 | 222 |
0.2%
|
|
| 41 | 8 |
0%
|
|
| 42 | 24 |
0%
|
|
| 43 | 6 |
0%
|
|
| 44 | 9 |
0%
|
|
| 45 | 56 |
0%
|
|
| 46 | 7 |
0%
|
|
| 47 | 5 |
0%
|
|
| 48 | 31 |
0%
|
|
| 49 | 5 |
0%
|
|
| 50 | 282 |
0.2%
|
|
| 51 | 3 |
0%
|
|
| 52 | 19 |
0%
|
|
| 53 | 3 |
0%
|
|
| 54 | 7 |
0%
|
|
| 55 | 24 |
0%
|
|
| 56 | 6 |
0%
|
|
| 57 | 7 |
0%
|
|
| 58 | 6 |
0%
|
|
| 59 | 1 |
0%
|
|
| 60 | 98 |
0.1%
|
|
| 62 | 2 |
0%
|
|
| 63 | 1 |
0%
|
|
| 64 | 2 |
0%
|
|
| 65 | 15 |
0%
|
|
| 66 | 4 |
0%
|
|
| 67 | 3 |
0%
|
|
| 68 | 3 |
0%
|
|
| 69 | 2 |
0%
|
|
| 70 | 39 |
0%
|
|
| 71 | 2 |
0%
|
|
| 72 | 3 |
0%
|
|
| 73 | 2 |
0%
|
|
| 74 | 2 |
0%
|
|
| 75 | 4 |
0%
|
|
| 76 | 2 |
0%
|
|
| 78 | 2 |
0%
|
|
| 79 | 2 |
0%
|
|
| 80 | 33 |
0%
|
|
| 81 | 1 |
0%
|
|
| 82 | 2 |
0%
|
|
| 84 | 1 |
0%
|
|
| 85 | 2 |
0%
|
|
| 86 | 1 |
0%
|
|
| 88 | 1 |
0%
|
|
| 89 | 2 |
0%
|
|
| 90 | 7 |
0%
|
|
| 92 | 1 |
0%
|
|
| 95 | 4 |
0%
|
|
| 98 | 1 |
0%
|
|
| 100 | 132 |
0.1%
|
|
| 105 | 4 |
0%
|
|
| 106 | 1 |
0%
|
|
| 109 | 1 |
0%
|
|
| 110 | 2 |
0%
|
|
| 115 | 2 |
0%
|
|
| 117 | 1 |
0%
|
|
| 120 | 10 |
0%
|
|
| 125 | 1 |
0%
|
|
| 150 | 28 |
0%
|
|
| 170 | 2 |
0%
|
|
| 183 | 1 |
0%
|
|
| 195 | 2 |
0%
|
|
| 200 | 27 |
0%
|
|
| 210 | 1 |
0%
|
|
| 237 | 1 |
0%
|
|
| 250 | 14 |
0%
|
|
| 257 | 1 |
0%
|
|
| 260 | 1 |
0%
|
|
| 280 | 3 |
0%
|
|
| 300 | 16 |
0%
|
|
| 320 | 1 |
0%
|
|
| 325 | 1 |
0%
|
|
| 350 | 2 |
0%
|
|
| 400 | 5 |
0%
|
|
| 456 | 1 |
0%
|
|
| 500 | 12 |
0%
|
|
| 592 | 1 |
0%
|
|
| 600 | 2 |
0%
|
|
| 725 | 1 |
0%
|
|
| 770 | 1 |
0%
|
|
| 800 | 1 |
0%
|
|
| 850 | 1 |
0%
|
|
| 1000 | 2 |
0%
|
|
| 1050 | 1 |
0%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 1 |
0%
|
|
| 1450 | 1 |
0%
|
|
| 1500 | 1 |
0%
|
|
| 2000 | 1 |
0%
|
|
| 2784 | 1 |
0%
|
|
| 3000 | 2 |
0%
|
|
| 5000 | 1 |
0%
|
|
| 23000 | 1 |
0%
|
|
| Sysmiss | 197010 |
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.