Integrated Household Survey 2015
Gambia, The, 2015 - 2016
Get MicrodataCreated on
Sep 19, 2018
Last modified
Sep 19, 2018
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- Data files
-
Household
adjusted_weight -
Part A Section
0-Cover -
Part A Section
0-HH
particulars -
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 building a new house last 12 months (s8bq12b)
Data file: Part A Section 8-Housing
Overview
Valid:
509
Invalid:
12772
Type:
Discrete
Decimal:
0
Start:
133
End:
139
Width:
7
Range:
-
Format:
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) - built major?
Categories
| Value | Category |
|---|---|
| -99 | dk |
| 0 | |
| 100 | |
| 120 | |
| 200 | |
| 275 | |
| 400 | |
| 550 | |
| 800 | |
| 900 | |
| 1000 | |
| 1175 | |
| 1500 | |
| 1560 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2500 | |
| 2700 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3975 | |
| 4000 | |
| 4100 | |
| 4240 | |
| 4300 | |
| 4500 | |
| 5000 | |
| 5100 | |
| 5250 | |
| 5550 | |
| 5900 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 6650 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9125 | |
| 9500 | |
| 9800 | |
| 10000 | |
| 11625 | |
| 12000 | |
| 12500 | |
| 12625 | |
| 12800 | |
| 13000 | |
| 13700 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 16600 | |
| 17000 | |
| 18000 | |
| 18300 | |
| 20000 | |
| 21000 | |
| 25000 | |
| 25250 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 31000 | |
| 32550 | |
| 33000 | |
| 35000 | |
| 40000 | |
| 40040 | |
| 44000 | |
| 45000 | |
| 49200 | |
| 50000 | |
| 51360 | |
| 55000 | |
| 60000 | |
| 61000 | |
| 63400 | |
| 65000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 100000 | |
| 100500 | |
| 120000 | |
| 130000 | |
| 135000 | |
| 135700 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 200000 | |
| 250000 | |
| 280000 | |
| 300000 | |
| 400000 | |
| 500000 | |
| 550000 | |
| 756000 | |
| 800000 | |
| 1000000 | |
| Sysmiss |
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.