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 spent on improving the existing house last 12 months (s8bq12c)
Data file: Part A Section 8-Housing
Overview
Valid:
634
Invalid:
12647
Type:
Discrete
Decimal:
0
Start:
140
End:
146
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) - minor improvement?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 100 | |
| 150 | |
| 170 | |
| 200 | |
| 210 | |
| 250 | |
| 270 | |
| 275 | |
| 280 | |
| 290 | |
| 300 | |
| 305 | |
| 350 | |
| 360 | |
| 370 | |
| 375 | |
| 400 | |
| 450 | |
| 475 | |
| 490 | |
| 500 | |
| 510 | |
| 540 | |
| 550 | |
| 570 | |
| 600 | |
| 625 | |
| 630 | |
| 640 | |
| 650 | |
| 675 | |
| 700 | |
| 760 | |
| 765 | |
| 780 | |
| 800 | |
| 820 | |
| 825 | |
| 850 | |
| 895 | |
| 900 | |
| 920 | |
| 955 | |
| 1000 | |
| 1050 | |
| 1070 | |
| 1100 | |
| 1175 | |
| 1200 | |
| 1250 | |
| 1280 | |
| 1300 | |
| 1320 | |
| 1325 | |
| 1390 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1600 | |
| 1620 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1810 | |
| 1950 | |
| 1960 | |
| 1970 | |
| 2000 | |
| 2075 | |
| 2100 | |
| 2125 | |
| 2200 | |
| 2270 | |
| 2280 | |
| 2300 | |
| 2400 | |
| 2460 | |
| 2500 | |
| 2560 | |
| 2600 | |
| 2640 | |
| 2700 | |
| 2800 | |
| 2875 | |
| 2950 | |
| 2975 | |
| 3000 | |
| 3060 | |
| 3300 | |
| 3375 | |
| 3500 | |
| 3525 | |
| 3560 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4110 | |
| 4200 | |
| 4375 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4650 | |
| 4790 | |
| 4800 | |
| 4860 | |
| 5000 | |
| 5075 | |
| 5100 | |
| 5180 | |
| 5225 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6250 | |
| 6500 | |
| 6850 | |
| 7000 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9600 | |
| 9900 | |
| 10000 | |
| 10030 | |
| 10300 | |
| 12000 | |
| 13000 | |
| 13400 | |
| 13500 | |
| 14900 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 20000 | |
| 20500 | |
| 25000 | |
| 30000 | |
| 36000 | |
| 40000 | |
| 50000 | |
| 60000 | |
| 350000 | |
| 1000001 | .D |
| 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.