Integrated Household Survey 2015
Gambia, 2015 - 2016
Get Microdata
Reference ID
GMB_IHS_2015-2016_v01_ES_M_v01_A_OCS
Producer(s)
The Gambia Bureau of Statistics
Collections
Metadata
Created on
Nov 18, 2022
Last modified
Jan 25, 2023
Page views
42691
Downloads
490
- Data files
-
Household
adjusted_weight -
Part A Section
1-6
Individual-level -
Part A Section
4C-Labor
overview-7 days -
Part A Section
7A-Credit
received -
Part A Section
7B-Credit
denied -
Part A Section
7C-Savings -
Part A Section
8-Housing -
Part A Section
9-Ownership of
durable assets -
Part A Section
10-Environment -
Part A Section
11-Governance -
Part A Section
12A-Transfers
received -
Part A Section
12B-Trasnfers
made out -
Part A Section
13-Subjective
poverty -
Part A Section
14-Access to
amenities -
Part A Section
15A-Crime HH
Members -
Part A Section
15B-Crime
Community -
Part B Section
1A-Food_consumption
expenditure -
Part B Section
1A-Food_consumption
expenditure1 -
Part B Section
1A-Food_consumption
expenditure-2 -
Part B Section
1B-Food_outside -
Part B Section
2A-Nonfood last
7 days -
Part B Section
2B-Nonfood last
1 month -
Part B Section
2C-Nonfood last
3 months -
Part B Section
2D-Nonfood last
12 months -
Part B Section
3A-Agriculture
holding -
Part B Section
3B-Crop
production -
Part B Section
3C-Processing
agricultural
produce -
Part B Section
3D-Agricultural
costs-crops -
Part B Section
3E-Livestock -
Part B Section
3F-Agricultural
costs-livestock -
Part B Section
4A-Household
income -
Part B Section
4B-Miscellaneous
income -
Part B Section
4C-Miscellaneous
income -
Part B Section
5-HH enterprise -
Part C Market
questionnaire
Payment/earning value in kind last 12 months (s4eq10)
Data file: Part A Section 1-6 Individual-level
Overview
Valid:
23
Invalid:
105774
Type:
Discrete
Decimal:
0
Start:
803
End:
807
Width:
5
Range:
-99 - 60000
Format:
Numeric
Questions and instructions
Literal question
What is the value of [NAME]'s in-kind payments/ earnings in the last 12 months?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Don't know | 0 |
0%
|
| 50 | 1 |
4.3%
|
|
| 500 | 2 |
8.7%
|
|
| 600 | 1 |
4.3%
|
|
| 750 | 2 |
8.7%
|
|
| 1000 | 2 |
8.7%
|
|
| 1200 | 1 |
4.3%
|
|
| 1500 | 4 |
17.4%
|
|
| 2000 | 1 |
4.3%
|
|
| 2500 | 2 |
8.7%
|
|
| 3000 | 1 |
4.3%
|
|
| 4032 | 3 |
13%
|
|
| 5000 | 1 |
4.3%
|
|
| 15000 | 1 |
4.3%
|
|
| 60000 | 1 |
4.3%
|
|
| Sysmiss | 105774 |
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.