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
Other operating expenses such as fuel, kerosine etcc. during typical mo (s5q21)
Data file: Part B Section 5-HH enterprise
Overview
Valid:
2873
Invalid:
10954
Type:
Discrete
Decimal:
0
Start:
114
End:
119
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
Other operating expenses such as fuel, kerosene, electricity etc. during typical month of operation of [ENTERPRISE] last 12 months
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 2 | |
| 10 | |
| 13 | |
| 15 | |
| 20 | |
| 24 | |
| 36 | |
| 40 | |
| 45 | |
| 50 | |
| 60 | |
| 75 | |
| 80 | |
| 87 | |
| 90 | |
| 100 | |
| 120 | |
| 125 | |
| 130 | |
| 140 | |
| 150 | |
| 160 | |
| 179 | |
| 200 | |
| 240 | |
| 250 | |
| 300 | |
| 313 | |
| 350 | |
| 400 | |
| 408 | |
| 420 | |
| 440 | |
| 450 | |
| 480 | |
| 500 | |
| 507 | |
| 540 | |
| 550 | |
| 600 | |
| 700 | |
| 703 | |
| 750 | |
| 800 | |
| 830 | |
| 864 | |
| 900 | |
| 1000 | |
| 1104 | |
| 1125 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1440 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 2800 | |
| 2880 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5400 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7500 | |
| 7700 | |
| 7750 | |
| 8000 | |
| 8400 | |
| 8750 | |
| 9000 | |
| 9150 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13500 | |
| 13680 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 18000 | |
| 19200 | |
| 20000 | |
| 21600 | |
| 24000 | |
| 25000 | |
| 30000 | |
| 31000 | |
| 50000 | |
| 55600 | |
| 60000 | |
| 75000 | |
| 80000 | |
| 84000 | |
| 100000 | |
| 108000 | |
| 110000 | |
| 120000 | |
| 144000 | |
| 180000 | |
| 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.