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
Original loan amt (s7aq4)
Data file: Part A Section 7A-Credit received
Overview
Valid:
4365
Invalid:
9992
Type:
Discrete
Decimal:
0
Start:
31
End:
37
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
What was the total amount of the original [LOAN]?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 10 | |
| 12 | |
| 20 | |
| 25 | |
| 50 | |
| 100 | |
| 150 | |
| 170 | |
| 175 | |
| 180 | |
| 200 | |
| 230 | |
| 240 | |
| 250 | |
| 275 | |
| 300 | |
| 320 | |
| 330 | |
| 350 | |
| 400 | |
| 450 | |
| 490 | |
| 500 | |
| 550 | |
| 600 | |
| 625 | |
| 640 | |
| 650 | |
| 655 | |
| 700 | |
| 730 | |
| 750 | |
| 760 | |
| 800 | |
| 850 | |
| 880 | |
| 900 | |
| 910 | |
| 950 | |
| 1000 | |
| 1025 | |
| 1037 | |
| 1050 | |
| 1100 | |
| 1130 | |
| 1150 | |
| 1175 | |
| 1180 | |
| 1200 | |
| 1250 | |
| 1256 | |
| 1270 | |
| 1300 | |
| 1320 | |
| 1325 | |
| 1330 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1580 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1760 | |
| 1775 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 1960 | |
| 1980 | |
| 2000 | |
| 2025 | |
| 2050 | |
| 2100 | |
| 2125 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2375 | |
| 2400 | |
| 2410 | |
| 2450 | |
| 2500 | |
| 2525 | |
| 2550 | |
| 2575 | |
| 2600 | |
| 2640 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3025 | |
| 3050 | |
| 3070 | |
| 3075 | |
| 3100 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3350 | |
| 3375 | |
| 3400 | |
| 3425 | |
| 3450 | |
| 3500 | |
| 3520 | |
| 3570 | |
| 3600 | |
| 3675 | |
| 3700 | |
| 3750 | |
| 3770 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4050 | |
| 4100 | |
| 4150 | |
| 4200 | |
| 4250 | |
| 4336 | |
| 4350 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4750 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5225 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5750 | |
| 5800 | |
| 5850 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6620 | |
| 6700 | |
| 6750 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7110 | |
| 7200 | |
| 7300 | |
| 7350 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7650 | |
| 7700 | |
| 7800 | |
| 8000 | |
| 8300 | |
| 8400 | |
| 8450 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8750 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9959 | |
| 10000 | |
| 10250 | |
| 10500 | |
| 10560 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11170 | |
| 11250 | |
| 11300 | |
| 11310 | |
| 11500 | |
| 11750 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13250 | |
| 13550 | |
| 13800 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 15000 | |
| 15750 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 19000 | |
| 19200 | |
| 20000 | |
| 20750 | |
| 21000 | |
| 21100 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26400 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28750 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 34500 | |
| 35000 | |
| 37000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 55000 | |
| 59000 | |
| 60000 | |
| 65000 | |
| 65250 | |
| 66000 | |
| 67000 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 80000 | |
| 87000 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 108000 | |
| 150000 | |
| 200000 | |
| 250000 | |
| 300000 | |
| 575000 | |
| 880000 | |
| 1300000 | |
| 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.