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
Value of other goods received during the last 12 mnths (s12aq9)
Data file: Part A Section 12A-Transfers received
Overview
Valid:
6439
Invalid:
9897
Type:
Discrete
Decimal:
0
Start:
52
End:
61
Width:
10
Range:
-
Format:
Questions and instructions
Literal question
What was the value of other goods recevied during the last 12 months?
Categories
| Value | Category |
|---|---|
| -99 | Don't know |
| 0 | |
| 6 | |
| 99 | |
| 100 | |
| 200 | |
| 210 | |
| 300 | |
| 400 | |
| 420 | |
| 500 | |
| 560 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1225 | |
| 1250 | |
| 1300 | |
| 1325 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1694 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 1925 | |
| 2000 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3066 | |
| 3100 | |
| 3150 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 4830 | |
| 5000 | |
| 5400 | |
| 5500 | |
| 5750 | |
| 6000 | |
| 6400 | |
| 6500 | |
| 6700 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7500 | |
| 7550 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9999 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12600 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26600 | |
| 27000 | |
| 29000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 36000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 45000 | |
| 46000 | |
| 50000 | |
| 60000 | |
| 62900 | |
| 65000 | |
| 71000 | |
| 80000 | |
| 84500 | |
| 100000 | |
| 120000 | |
| 150000 | |
| 178000 | |
| 185000 | |
| 200000 | |
| 300000 | |
| 350000 | |
| 400000 | |
| 450000 | |
| 999999999 | |
| 1000000001 | .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.