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
10189
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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
Amount hh spent on extension to existing house last 12 months (s8bq12a)
Data file: Part A Section 8-Housing
Overview
Valid:
442
Invalid:
12839
Type:
Discrete
Decimal:
0
Start:
126
End:
132
Width:
7
Range:
-99 - 3500000
Format:
Numeric
Questions and instructions
Literal question
During the last 12 months, how much have you spent on house construction (building a new house or an improvement/extension to the existing one) - exteneded major?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | dk | 0 |
0%
|
| 0 | 305 |
69%
|
|
| 250 | 1 |
0.2%
|
|
| 300 | 2 |
0.5%
|
|
| 360 | 1 |
0.2%
|
|
| 410 | 1 |
0.2%
|
|
| 500 | 3 |
0.7%
|
|
| 700 | 3 |
0.7%
|
|
| 800 | 1 |
0.2%
|
|
| 840 | 1 |
0.2%
|
|
| 900 | 1 |
0.2%
|
|
| 1000 | 3 |
0.7%
|
|
| 1300 | 1 |
0.2%
|
|
| 1350 | 1 |
0.2%
|
|
| 1450 | 1 |
0.2%
|
|
| 1500 | 1 |
0.2%
|
|
| 1700 | 1 |
0.2%
|
|
| 1800 | 2 |
0.5%
|
|
| 2000 | 8 |
1.8%
|
|
| 2030 | 1 |
0.2%
|
|
| 2400 | 1 |
0.2%
|
|
| 2600 | 1 |
0.2%
|
|
| 3000 | 8 |
1.8%
|
|
| 4000 | 2 |
0.5%
|
|
| 4400 | 1 |
0.2%
|
|
| 4500 | 2 |
0.5%
|
|
| 4525 | 1 |
0.2%
|
|
| 5000 | 8 |
1.8%
|
|
| 5175 | 1 |
0.2%
|
|
| 6000 | 1 |
0.2%
|
|
| 6450 | 1 |
0.2%
|
|
| 6500 | 1 |
0.2%
|
|
| 7000 | 2 |
0.5%
|
|
| 7500 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 8500 | 1 |
0.2%
|
|
| 9000 | 1 |
0.2%
|
|
| 9100 | 1 |
0.2%
|
|
| 10000 | 11 |
2.5%
|
|
| 10400 | 1 |
0.2%
|
|
| 10725 | 1 |
0.2%
|
|
| 11000 | 1 |
0.2%
|
|
| 12000 | 4 |
0.9%
|
|
| 13000 | 1 |
0.2%
|
|
| 13900 | 1 |
0.2%
|
|
| 14800 | 1 |
0.2%
|
|
| 15000 | 3 |
0.7%
|
|
| 16000 | 1 |
0.2%
|
|
| 20000 | 5 |
1.1%
|
|
| 25000 | 5 |
1.1%
|
|
| 30000 | 6 |
1.4%
|
|
| 33125 | 1 |
0.2%
|
|
| 35000 | 3 |
0.7%
|
|
| 40000 | 1 |
0.2%
|
|
| 42000 | 1 |
0.2%
|
|
| 45820 | 1 |
0.2%
|
|
| 47000 | 1 |
0.2%
|
|
| 50000 | 5 |
1.1%
|
|
| 59000 | 1 |
0.2%
|
|
| 80000 | 1 |
0.2%
|
|
| 90000 | 1 |
0.2%
|
|
| 100000 | 3 |
0.7%
|
|
| 107000 | 1 |
0.2%
|
|
| 120000 | 1 |
0.2%
|
|
| 150000 | 1 |
0.2%
|
|
| 160000 | 1 |
0.2%
|
|
| 250000 | 1 |
0.2%
|
|
| 300000 | 2 |
0.5%
|
|
| 350000 | 1 |
0.2%
|
|
| 3500000 | 1 |
0.2%
|
|
| Sysmiss | 12839 |
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.