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
Average mnthly gross revenues for the months of operation of the enterpr (s5q17)
Data file: Part B Section 5-HH enterprise
Overview
Valid:
2957
Invalid:
10870
Type:
Discrete
Decimal:
0
Start:
72
End:
79
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
What is/was the average monthly gross revenues during the months of operation of [ENTERPRISE] last 12 months?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 2 | |
| 60 | |
| 100 | |
| 140 | |
| 150 | |
| 160 | |
| 180 | |
| 200 | |
| 210 | |
| 250 | |
| 270 | |
| 275 | |
| 300 | |
| 350 | |
| 400 | |
| 416 | |
| 417 | |
| 450 | |
| 460 | |
| 467 | |
| 475 | |
| 500 | |
| 540 | |
| 550 | |
| 575 | |
| 600 | |
| 625 | |
| 630 | |
| 650 | |
| 667 | |
| 700 | |
| 750 | |
| 760 | |
| 778 | |
| 800 | |
| 820 | |
| 825 | |
| 833 | |
| 850 | |
| 900 | |
| 930 | |
| 940 | |
| 950 | |
| 1000 | |
| 1083 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1275 | |
| 1300 | |
| 1320 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1667 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2083 | |
| 2100 | |
| 2125 | |
| 2200 | |
| 2240 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2670 | |
| 2700 | |
| 2800 | |
| 2880 | |
| 2900 | |
| 2917 | |
| 3000 | |
| 3100 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3408 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 3961 | |
| 4000 | |
| 4166 | |
| 4167 | |
| 4200 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 4875 | |
| 4900 | |
| 5000 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5416 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6067 | |
| 6175 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7270 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9300 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11250 | |
| 11400 | |
| 11500 | |
| 11700 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13400 | |
| 13500 | |
| 13600 | |
| 13750 | |
| 13800 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14893 | |
| 15000 | |
| 15500 | |
| 15600 | |
| 15900 | |
| 16000 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17600 | |
| 18000 | |
| 18200 | |
| 18500 | |
| 19000 | |
| 19200 | |
| 19500 | |
| 20000 | |
| 20700 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25800 | |
| 26000 | |
| 26400 | |
| 26960 | |
| 27000 | |
| 27600 | |
| 28000 | |
| 28800 | |
| 29700 | |
| 30000 | |
| 31000 | |
| 31200 | |
| 31900 | |
| 32000 | |
| 32400 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37800 | |
| 38000 | |
| 38500 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43200 | |
| 44000 | |
| 44400 | |
| 44800 | |
| 45000 | |
| 45200 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50400 | |
| 50500 | |
| 51000 | |
| 52850 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 60000 | |
| 62400 | |
| 63800 | |
| 64000 | |
| 64200 | |
| 65000 | |
| 67000 | |
| 67200 | |
| 67500 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 77700 | |
| 80000 | |
| 82500 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 89000 | |
| 90000 | |
| 92400 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 100800 | |
| 105000 | |
| 107500 | |
| 108000 | |
| 109000 | |
| 110000 | |
| 112000 | |
| 114000 | |
| 120000 | |
| 125000 | |
| 132408 | |
| 134400 | |
| 144000 | |
| 150000 | |
| 154000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 200000 | |
| 208000 | |
| 220000 | |
| 230000 | |
| 250000 | |
| 280000 | |
| 288000 | |
| 300000 | |
| 300108 | |
| 336000 | |
| 350000 | |
| 360000 | |
| 420000 | |
| 450000 | |
| 480000 | |
| 645000 | |
| 700000 | |
| 728000 | |
| 900000 | |
| 1010000 | |
| 1050000 | |
| 1200000 | |
| 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.