General Household Survey-Panel Wave 3 (Post Planting) 2015-2016
Nigeria, 2015
Get Microdata
Reference ID
NGA_2015-2016_GHS-W3-PP_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Metadata
Created on
Jul 17, 2019
Last modified
Jul 17, 2019
Page views
170393
Downloads
5470
- 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
1st member hours per day (S11c1q1a4)
Data file: Section 11C1_ Labor
Overview
Valid:
5446
Invalid:
378
Type:
Discrete
Decimal:
0
Start:
26
End:
27
Width:
2
Range:
1 - 17
Format:
Numeric
Questions and instructions
Literal question
During the this planting season, please list for me the household members that worked on this [plot] in activities such as land preparation and planting.
1st member
hours per day (must be less than 18)
1st member
hours per day (must be less than 18)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 65 |
1.2%
|
|
| 2 | 234 |
4.3%
|
|
| 3 | 442 |
8.1%
|
|
| 4 | 753 |
13.8%
|
|
| 5 | 825 |
15.1%
|
|
| 6 | 826 |
15.2%
|
|
| 7 | 467 |
8.6%
|
|
| 8 | 723 |
13.3%
|
|
| 9 | 163 |
3%
|
|
| 10 | 421 |
7.7%
|
|
| 11 | 52 |
1%
|
|
| 12 | 211 |
3.9%
|
|
| 13 | 27 |
0.5%
|
|
| 14 | 82 |
1.5%
|
|
| 15 | 63 |
1.2%
|
|
| 16 | 66 |
1.2%
|
|
| 17 | 26 |
0.5%
|
|
| Sysmiss | 378 |
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.