General Household Survey-Panel Wave 3 (Post Planting) 2015-2016
Third round
Nigeria, 2015
Get Microdata
Reference ID
NGA-NBS-NGHPS-2016-v1.0
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
Dec 11, 2016
Last modified
Dec 11, 2016
Page views
147407
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- Data files
-
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 11L1_
Extension
Services 1 -
Section 11L2_
Extension
Services 2 -
Section 11J_
Animal Costs -
Section 11K_
Agricultural
by-Product -
Section 12_
Network Roster -
Section A-1_
Household
Identification -
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
Which state or lga did name move to? (state code) (S1q32d)
Data file: Section 1_ Roster
Overview
Valid:
3902
Invalid:
28237
Minimum:
1
Maximum:
37
Type:
Discrete
Decimal:
0
Start:
241
End:
242
Width:
2
Range:
1 - 37
Format:
Numeric
Questions and instructions
Literal question
Which LGA and state did [NAME] move to?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Abia | 55 |
1.4%
|
| 2 | 2. Adamawa | 85 |
2.2%
|
| 3 | 3. Akwa ibom | 200 |
5.1%
|
| 4 | 4. Anambra | 141 |
3.6%
|
| 5 | 5. Bauchi | 164 |
4.2%
|
| 6 | 6. Bayelsa | 84 |
2.2%
|
| 7 | 7. Benue | 99 |
2.5%
|
| 8 | 8. Borno | 21 |
0.5%
|
| 9 | 9. Cross river | 160 |
4.1%
|
| 10 | 10. Delta | 150 |
3.8%
|
| 11 | 11. Ebonyi | 65 |
1.7%
|
| 12 | 12. Edo | 79 |
2%
|
| 13 | 13. Ekiti | 24 |
0.6%
|
| 14 | 14. Enugu | 78 |
2%
|
| 15 | 15. Gombe | 24 |
0.6%
|
| 16 | 16. Imo | 101 |
2.6%
|
| 17 | 17. Jigawa | 72 |
1.8%
|
| 18 | 18. Kaduna | 89 |
2.3%
|
| 19 | 19. Kano | 131 |
3.4%
|
| 20 | 20. Katsina | 92 |
2.4%
|
| 21 | 21. Kebbi | 36 |
0.9%
|
| 22 | 22. Kogi | 73 |
1.9%
|
| 23 | 23. Kwara | 87 |
2.2%
|
| 24 | 24. Lagos | 363 |
9.3%
|
| 25 | 25. Nasarawa | 114 |
2.9%
|
| 26 | 26. Niger | 39 |
1%
|
| 27 | 27. Ogun | 85 |
2.2%
|
| 28 | 28. Ondo | 156 |
4%
|
| 29 | 29. Osun | 155 |
4%
|
| 30 | 30. Oyo | 157 |
4%
|
| 31 | 31. Plateau | 120 |
3.1%
|
| 32 | 32. Rivers | 268 |
6.9%
|
| 33 | 33. Sokoto | 21 |
0.5%
|
| 34 | 34. Taraba | 77 |
2%
|
| 35 | 35. Yobe | 68 |
1.7%
|
| 36 | 36. Zamfara | 28 |
0.7%
|
| 37 | 37. Fct abuja | 141 |
3.6%
|
| Sysmiss | 28237 |
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.
Question post text
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