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
10839
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- 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
Length of stay in previous location prior to arriving in current location (s5q7b)
Data file: Part A Section 1-6 Individual-level
Overview
Valid:
12686
Invalid:
93111
Minimum:
0
Maximum:
90
Type:
Discrete
Decimal:
0
Start:
880
End:
881
Width:
2
Range:
0 - 90
Format:
Numeric
Questions and instructions
Literal question
How long did [NAME] live in the previous location prior to arriving in this place - years?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 9379 |
73.9%
|
|
| 1 | 238 |
1.9%
|
|
| 2 | 354 |
2.8%
|
|
| 3 | 335 |
2.6%
|
|
| 4 | 361 |
2.8%
|
|
| 5 | 291 |
2.3%
|
|
| 6 | 468 |
3.7%
|
|
| 7 | 327 |
2.6%
|
|
| 8 | 304 |
2.4%
|
|
| 9 | 237 |
1.9%
|
|
| 10 | 253 |
2%
|
|
| 11 | 119 |
0.9%
|
|
| 12 | 2 |
0%
|
|
| 13 | 2 |
0%
|
|
| 14 | 1 |
0%
|
|
| 15 | 3 |
0%
|
|
| 17 | 1 |
0%
|
|
| 18 | 1 |
0%
|
|
| 19 | 1 |
0%
|
|
| 20 | 1 |
0%
|
|
| 24 | 1 |
0%
|
|
| 25 | 1 |
0%
|
|
| 60 | 4 |
0%
|
|
| 70 | 1 |
0%
|
|
| 90 | 1 |
0%
|
|
| Sysmiss | 93111 |
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.