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
194882
Downloads
6316
- 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
Approximately when do you expect to make final payment? year (S4cq10b)
Data file: Section 4C2_Credit
Overview
Valid:
604
Invalid:
296
Minimum:
2015
Maximum:
2019
Mean:
2015.308
Standard deviation:
0.6
Type:
Discrete
Decimal:
0
Start:
132
End:
135
Width:
4
Range:
2015 - 2019
Format:
Numeric
Questions and instructions
Literal question
Approximately when do you expect to make final payment on [loan]? year
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 2015 | 453 |
75%
|
|
| 2016 | 124 |
20.5%
|
|
| 2017 | 20 |
3.3%
|
|
| 2018 | 6 |
1%
|
|
| 2019 | 1 |
0.2%
|
|
| Sysmiss | 296 |
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.