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
Estimated rent value for the hh dwelling (s8bq3a)
Data file: Part A Section 8-Housing
Overview
Valid:
11647
Invalid:
1634
Type:
Discrete
Decimal:
0
Start:
90
End:
97
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
How much would you estimate that your household would have to pay in rent for this dwelling, if you didn’t own it or have it provided for you - dalasis?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 20 | |
| 25 | |
| 30 | |
| 40 | |
| 45 | |
| 50 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 99 | |
| 100 | |
| 103 | |
| 120 | |
| 125 | |
| 130 | |
| 150 | |
| 160 | |
| 175 | |
| 180 | |
| 200 | |
| 210 | |
| 225 | |
| 230 | |
| 250 | |
| 260 | |
| 275 | |
| 280 | |
| 290 | |
| 300 | |
| 350 | |
| 360 | |
| 375 | |
| 400 | |
| 450 | |
| 500 | |
| 525 | |
| 550 | |
| 560 | |
| 600 | |
| 625 | |
| 650 | |
| 700 | |
| 720 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 999 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1225 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1950 | |
| 2000 | |
| 2100 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4100 | |
| 4250 | |
| 4500 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6200 | |
| 6400 | |
| 6600 | |
| 7000 | |
| 7100 | |
| 7500 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 10400 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 15000 | |
| 15100 | |
| 20000 | |
| 25000 | |
| 28000 | |
| 30000 | |
| 40000 | |
| 50000 | |
| 55000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 100000 | |
| 110000 | |
| 120000 | |
| 125000 | |
| 150000 | |
| 180000 | |
| 200000 | |
| 500000 | |
| 1000000 | |
| 2300000 | |
| 10000001 | .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.