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 died (diseases, natural events etc.) in the past 3 months? (s04c_q05)
Data file: 15_Livestock
Overview
Valid:
119276
Invalid:
197010
Type:
Discrete
Decimal:
0
Start:
116
End:
119
Width:
4
Range:
0 - 2440
Format:
Numeric
Questions and instructions
Literal question
How many died (diseases, natural events etc.) in the past 3 months?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | None | 83979 |
70.4%
|
| 1 | 8514 |
7.1%
|
|
| 2 | 9921 |
8.3%
|
|
| 3 | 5018 |
4.2%
|
|
| 4 | 2350 |
2%
|
|
| 5 | 3339 |
2.8%
|
|
| 6 | 958 |
0.8%
|
|
| 7 | 633 |
0.5%
|
|
| 8 | 687 |
0.6%
|
|
| 9 | 244 |
0.2%
|
|
| 10 | 1250 |
1%
|
|
| 11 | 115 |
0.1%
|
|
| 12 | 287 |
0.2%
|
|
| 13 | 111 |
0.1%
|
|
| 14 | 70 |
0.1%
|
|
| 15 | 414 |
0.3%
|
|
| 16 | 55 |
0%
|
|
| 17 | 50 |
0%
|
|
| 18 | 65 |
0.1%
|
|
| 19 | 22 |
0%
|
|
| 20 | 389 |
0.3%
|
|
| 21 | 17 |
0%
|
|
| 22 | 28 |
0%
|
|
| 23 | 27 |
0%
|
|
| 24 | 16 |
0%
|
|
| 25 | 113 |
0.1%
|
|
| 26 | 16 |
0%
|
|
| 27 | 19 |
0%
|
|
| 28 | 12 |
0%
|
|
| 29 | 6 |
0%
|
|
| 30 | 135 |
0.1%
|
|
| 31 | 4 |
0%
|
|
| 32 | 10 |
0%
|
|
| 33 | 6 |
0%
|
|
| 34 | 4 |
0%
|
|
| 35 | 27 |
0%
|
|
| 36 | 6 |
0%
|
|
| 37 | 4 |
0%
|
|
| 38 | 6 |
0%
|
|
| 39 | 7 |
0%
|
|
| 40 | 46 |
0%
|
|
| 42 | 6 |
0%
|
|
| 43 | 2 |
0%
|
|
| 44 | 2 |
0%
|
|
| 45 | 9 |
0%
|
|
| 46 | 3 |
0%
|
|
| 47 | 3 |
0%
|
|
| 48 | 2 |
0%
|
|
| 49 | 2 |
0%
|
|
| 50 | 84 |
0.1%
|
|
| 51 | 2 |
0%
|
|
| 52 | 4 |
0%
|
|
| 53 | 1 |
0%
|
|
| 54 | 3 |
0%
|
|
| 55 | 3 |
0%
|
|
| 57 | 1 |
0%
|
|
| 58 | 1 |
0%
|
|
| 60 | 15 |
0%
|
|
| 62 | 1 |
0%
|
|
| 63 | 2 |
0%
|
|
| 65 | 2 |
0%
|
|
| 70 | 13 |
0%
|
|
| 74 | 1 |
0%
|
|
| 75 | 2 |
0%
|
|
| 79 | 2 |
0%
|
|
| 80 | 9 |
0%
|
|
| 83 | 3 |
0%
|
|
| 85 | 1 |
0%
|
|
| 90 | 2 |
0%
|
|
| 93 | 1 |
0%
|
|
| 95 | 1 |
0%
|
|
| 98 | 1 |
0%
|
|
| 99 | 1 |
0%
|
|
| 100 | 37 |
0%
|
|
| 102 | 1 |
0%
|
|
| 107 | 1 |
0%
|
|
| 110 | 2 |
0%
|
|
| 112 | 1 |
0%
|
|
| 120 | 4 |
0%
|
|
| 122 | 1 |
0%
|
|
| 140 | 1 |
0%
|
|
| 145 | 1 |
0%
|
|
| 147 | 1 |
0%
|
|
| 150 | 11 |
0%
|
|
| 153 | 1 |
0%
|
|
| 160 | 1 |
0%
|
|
| 175 | 1 |
0%
|
|
| 180 | 3 |
0%
|
|
| 185 | 1 |
0%
|
|
| 200 | 15 |
0%
|
|
| 220 | 2 |
0%
|
|
| 240 | 2 |
0%
|
|
| 250 | 5 |
0%
|
|
| 298 | 1 |
0%
|
|
| 300 | 3 |
0%
|
|
| 348 | 1 |
0%
|
|
| 380 | 1 |
0%
|
|
| 400 | 1 |
0%
|
|
| 500 | 7 |
0%
|
|
| 600 | 1 |
0%
|
|
| 800 | 1 |
0%
|
|
| 1000 | 2 |
0%
|
|
| 2440 | 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.