General Household Survey-Panel Wave 3 (Post Planting) 2015-2016
Nigeria, 2015
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Reference ID
NGA_2015-2016_GHS-W3-PP_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
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Metadata
Created on
Jul 17, 2019
Last modified
Jul 17, 2019
Page views
196757
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- Data files
-
Section A-1_
Household
Identification -
Section 1_
Roster - Section 3_Labor
-
Section
4A_Savings and
Insurance -
Section 4B_ ICT
- Mobile Phone
Banking -
Section
4C_Credit -
Section
4C2_Credit -
Section
4C2_Credit -
Section 5_
Household
Assets -
Section
7A_Meals Away
from Home -
Section 7B_Food
Expenditure -
Section 8A_
Non-Food
Expenditure -
Section 8B_
Non-Food
Expenditure -
Section
8C_Non-Food
Expenditure -
Section 9_Food
Security -
Section
9B_Subjective
Wellbeing -
Section
11_Housing -
Section A-1_
Household
Identification -
Section 11A_
Plot Roster -
Section 11A1_
Plot Roster -
Section 11B1_
Land Invetory -
Section 11C1_
Labor -
Section
11E_Seed
Acquisition -
Section 11F_
Planted Field
and Tree Crops -
Section
11I_Animal
Holdings -
Section 11J_
Animal Costs -
Section 11K_
Agricultural
by-Product -
Section 11L1_
Extension
Services 1 -
Section 11L2_
Extension
Services 2 -
Section 12_
Network Roster -
Community
_Identification -
Section 1_
Respondent
Characteristics -
Section 2A_Food
Prices - 1st
Location -
Section 2B_
Food Prices -
2nd Location -
Section 3A_
Labor -
Section 3B_
Labor -
Section 4A_
Land Prices and
Credit -
Section 4B_
Land prices and
credit
State (state)
Data file: Section 1_ Respondent Characteristics
Overview
Valid:
2753
Invalid:
0
Minimum:
1
Maximum:
37
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 37
Format:
Numeric
Questions and instructions
Literal question
State
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Abia | 83 |
3%
|
| 2 | 2. Adamawa | 70 |
2.5%
|
| 3 | 3. Akwa Ibom | 84 |
3.1%
|
| 4 | 4. Anambra | 119 |
4.3%
|
| 5 | 5. Bauchi | 93 |
3.4%
|
| 6 | 6. Bayelsa | 43 |
1.6%
|
| 7 | 7. Benue | 84 |
3.1%
|
| 8 | 8. Borno | 49 |
1.8%
|
| 9 | 9. Cross River | 72 |
2.6%
|
| 10 | 10. Delta | 78 |
2.8%
|
| 11 | 11. Ebonyi | 101 |
3.7%
|
| 12 | 12. Edo | 50 |
1.8%
|
| 13 | 13. Ekiti | 55 |
2%
|
| 14 | 14. Enugu | 72 |
2.6%
|
| 15 | 15. Gombe | 49 |
1.8%
|
| 16 | 16. Imo | 115 |
4.2%
|
| 17 | 17. Jigawa | 65 |
2.4%
|
| 18 | 18. Kaduna | 63 |
2.3%
|
| 19 | 19. Kano | 100 |
3.6%
|
| 20 | 20. Katsina | 91 |
3.3%
|
| 21 | 21. Kebbi | 54 |
2%
|
| 22 | 22. Kogi | 74 |
2.7%
|
| 23 | 23. kwara | 80 |
2.9%
|
| 24 | 24. Lagos | 103 |
3.7%
|
| 25 | 25. Nasarawa | 35 |
1.3%
|
| 26 | 26. Niger | 105 |
3.8%
|
| 27 | 27. Ogun | 56 |
2%
|
| 28 | 28. Ondo | 98 |
3.6%
|
| 29 | 29. osun | 97 |
3.5%
|
| 30 | 30. Oyo | 115 |
4.2%
|
| 31 | 31. Plateau | 55 |
2%
|
| 32 | 32. Rivers | 105 |
3.8%
|
| 33 | 33. Sokoto | 45 |
1.6%
|
| 34 | 34. Taraba | 45 |
1.6%
|
| 35 | 35. Yobe | 70 |
2.5%
|
| 36 | 36. Zamfara | 52 |
1.9%
|
| 37 | 37. FCT Abuja | 28 |
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.