Integrated Household Survey 2015
Gambia, 2015 - 2016
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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
42871
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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
Traditional healer (s2aq27_2)
Data file: Part A Section 1-6 Individual-level
Overview
Valid:
438
Invalid:
105359
Type:
Discrete
Decimal:
0
Start:
272
End:
277
Width:
6
Range:
-99 - 30000
Format:
Numeric
Questions and instructions
Literal question
How much was spent on hospitalization by [NAME] last 12 months in medical traditional healer?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | dk | 0 |
0%
|
| 0 | 321 |
73.3%
|
|
| 2 | 7 |
1.6%
|
|
| 20 | 1 |
0.2%
|
|
| 25 | 4 |
0.9%
|
|
| 50 | 1 |
0.2%
|
|
| 60 | 1 |
0.2%
|
|
| 65 | 1 |
0.2%
|
|
| 75 | 1 |
0.2%
|
|
| 80 | 1 |
0.2%
|
|
| 100 | 4 |
0.9%
|
|
| 150 | 4 |
0.9%
|
|
| 200 | 7 |
1.6%
|
|
| 250 | 1 |
0.2%
|
|
| 300 | 11 |
2.5%
|
|
| 350 | 2 |
0.5%
|
|
| 370 | 1 |
0.2%
|
|
| 400 | 3 |
0.7%
|
|
| 500 | 14 |
3.2%
|
|
| 600 | 3 |
0.7%
|
|
| 650 | 1 |
0.2%
|
|
| 700 | 3 |
0.7%
|
|
| 737 | 1 |
0.2%
|
|
| 800 | 4 |
0.9%
|
|
| 875 | 1 |
0.2%
|
|
| 900 | 1 |
0.2%
|
|
| 1000 | 3 |
0.7%
|
|
| 1300 | 1 |
0.2%
|
|
| 1350 | 1 |
0.2%
|
|
| 1500 | 7 |
1.6%
|
|
| 1600 | 1 |
0.2%
|
|
| 2000 | 6 |
1.4%
|
|
| 2400 | 1 |
0.2%
|
|
| 2500 | 1 |
0.2%
|
|
| 2800 | 1 |
0.2%
|
|
| 3000 | 4 |
0.9%
|
|
| 3500 | 1 |
0.2%
|
|
| 4500 | 1 |
0.2%
|
|
| 5000 | 2 |
0.5%
|
|
| 6500 | 1 |
0.2%
|
|
| 7000 | 2 |
0.5%
|
|
| 9000 | 1 |
0.2%
|
|
| 10000 | 2 |
0.5%
|
|
| 14000 | 2 |
0.5%
|
|
| 30000 | 1 |
0.2%
|
|
| 100001 | .M | 12 | |
| Sysmiss | 105347 |
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.