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
Current value of the dwelling, if you were to sell it (s8bq2)
Data file: Part A Section 8-Housing
Overview
Valid:
9548
Invalid:
3733
Type:
Discrete
Decimal:
0
Start:
79
End:
89
Width:
11
Range:
-
Format:
Questions and instructions
Literal question
What is the current value of your dwelling if you were to sell it?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 1 | |
| 2 | |
| 15 | |
| 18 | |
| 25 | |
| 45 | |
| 50 | |
| 65 | |
| 99 | |
| 100 | |
| 111 | |
| 150 | |
| 200 | |
| 240 | |
| 251 | |
| 300 | |
| 319 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 999 | |
| 1000 | |
| 1200 | |
| 1500 | |
| 1600 | |
| 1900 | |
| 2000 | |
| 2150 | |
| 2200 | |
| 2500 | |
| 2700 | |
| 2900 | |
| 3000 | |
| 3400 | |
| 3500 | |
| 3580 | |
| 3900 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5200 | |
| 5800 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7300 | |
| 7500 | |
| 8000 | |
| 8200 | |
| 8500 | |
| 8700 | |
| 8750 | |
| 8800 | |
| 9000 | |
| 9850 | |
| 10000 | |
| 10600 | |
| 11000 | |
| 11600 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13333 | |
| 14000 | |
| 14875 | |
| 15000 | |
| 15600 | |
| 16000 | |
| 16600 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18330 | |
| 19000 | |
| 19625 | |
| 19800 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21150 | |
| 21400 | |
| 21500 | |
| 22000 | |
| 22600 | |
| 22800 | |
| 23000 | |
| 24000 | |
| 24100 | |
| 24500 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30100 | |
| 32000 | |
| 32400 | |
| 34000 | |
| 35000 | |
| 35600 | |
| 36000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 40500 | |
| 42000 | |
| 43000 | |
| 43400 | |
| 44000 | |
| 44200 | |
| 45000 | |
| 45350 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50200 | |
| 52000 | |
| 53500 | |
| 54000 | |
| 54600 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 63400 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 71000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 81000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 92000 | |
| 93000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 103000 | |
| 105000 | |
| 106000 | |
| 110000 | |
| 113000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 127750 | |
| 130000 | |
| 135000 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 158000 | |
| 160000 | |
| 165000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 189000 | |
| 190000 | |
| 195000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 258000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 303500 | |
| 309000 | |
| 310000 | |
| 315000 | |
| 320000 | |
| 330000 | |
| 340000 | |
| 350000 | |
| 370000 | |
| 375000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 410000 | |
| 420000 | |
| 430000 | |
| 450000 | |
| 470000 | |
| 500000 | |
| 509000 | |
| 520000 | |
| 550000 | |
| 575000 | |
| 600000 | |
| 641555 | |
| 661000 | |
| 700000 | |
| 735000 | |
| 750000 | |
| 780000 | |
| 800000 | |
| 801000 | |
| 850000 | |
| 900000 | |
| 1000000 | |
| 1200000 | |
| 1300000 | |
| 1375000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1800000 | |
| 1850000 | |
| 2000000 | |
| 2200000 | |
| 2300000 | |
| 2500000 | |
| 2800000 | |
| 3000000 | |
| 3500000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 6300000 | |
| 7000000 | |
| 8000000 | |
| 9000000 | |
| 9500000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 15000000 | |
| 18000000 | |
| 20000000 | |
| 21000000 | |
| 25000000 | |
| 30000000 | |
| 30060000 | |
| 45000000 | |
| 130000000 | |
| 1000000000 | |
| 9999999999 | |
| 10000000001 | .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.