Integrated Household Survey 2015
Gambia, 2015 - 2016
Get Microdata
Reference ID
GMB_2015_IHS_v01_M
Producer(s)
The Gambia Bureau of Statistics
Metadata
Created on
Oct 23, 2018
Last modified
Jul 28, 2020
Page views
72368
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- Data files
-
Household
adjusted_weight -
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
Minimum:
-99
Maximum:
180000
Type:
Discrete
Decimal:
0
Start:
114
End:
119
Width:
6
Range:
-99 - 180000
Format:
Numeric
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 | Cases | |
|---|---|---|---|
| -99 | Don't know | 54 |
1.9%
|
| 0 | 1937 |
67.4%
|
|
| 2 | 9 |
0.3%
|
|
| 10 | 1 |
0%
|
|
| 13 | 1 |
0%
|
|
| 15 | 1 |
0%
|
|
| 20 | 1 |
0%
|
|
| 24 | 1 |
0%
|
|
| 36 | 1 |
0%
|
|
| 40 | 3 |
0.1%
|
|
| 45 | 1 |
0%
|
|
| 50 | 10 |
0.3%
|
|
| 60 | 2 |
0.1%
|
|
| 75 | 2 |
0.1%
|
|
| 80 | 4 |
0.1%
|
|
| 87 | 1 |
0%
|
|
| 90 | 1 |
0%
|
|
| 100 | 32 |
1.1%
|
|
| 120 | 2 |
0.1%
|
|
| 125 | 2 |
0.1%
|
|
| 130 | 1 |
0%
|
|
| 140 | 1 |
0%
|
|
| 150 | 22 |
0.8%
|
|
| 160 | 1 |
0%
|
|
| 179 | 1 |
0%
|
|
| 200 | 47 |
1.6%
|
|
| 240 | 1 |
0%
|
|
| 250 | 5 |
0.2%
|
|
| 300 | 50 |
1.7%
|
|
| 313 | 1 |
0%
|
|
| 350 | 5 |
0.2%
|
|
| 400 | 38 |
1.3%
|
|
| 408 | 1 |
0%
|
|
| 420 | 1 |
0%
|
|
| 440 | 1 |
0%
|
|
| 450 | 4 |
0.1%
|
|
| 480 | 1 |
0%
|
|
| 500 | 87 |
3%
|
|
| 507 | 1 |
0%
|
|
| 540 | 1 |
0%
|
|
| 550 | 2 |
0.1%
|
|
| 600 | 25 |
0.9%
|
|
| 700 | 19 |
0.7%
|
|
| 703 | 1 |
0%
|
|
| 750 | 2 |
0.1%
|
|
| 800 | 14 |
0.5%
|
|
| 830 | 1 |
0%
|
|
| 864 | 1 |
0%
|
|
| 900 | 10 |
0.3%
|
|
| 1000 | 67 |
2.3%
|
|
| 1104 | 1 |
0%
|
|
| 1125 | 1 |
0%
|
|
| 1200 | 18 |
0.6%
|
|
| 1250 | 1 |
0%
|
|
| 1300 | 5 |
0.2%
|
|
| 1400 | 2 |
0.1%
|
|
| 1440 | 2 |
0.1%
|
|
| 1500 | 40 |
1.4%
|
|
| 1600 | 6 |
0.2%
|
|
| 1700 | 5 |
0.2%
|
|
| 1750 | 1 |
0%
|
|
| 1800 | 10 |
0.3%
|
|
| 1900 | 1 |
0%
|
|
| 2000 | 44 |
1.5%
|
|
| 2100 | 1 |
0%
|
|
| 2200 | 1 |
0%
|
|
| 2400 | 10 |
0.3%
|
|
| 2500 | 14 |
0.5%
|
|
| 2700 | 1 |
0%
|
|
| 2800 | 2 |
0.1%
|
|
| 2880 | 1 |
0%
|
|
| 3000 | 34 |
1.2%
|
|
| 3200 | 1 |
0%
|
|
| 3500 | 3 |
0.1%
|
|
| 3600 | 9 |
0.3%
|
|
| 3900 | 1 |
0%
|
|
| 4000 | 19 |
0.7%
|
|
| 4200 | 2 |
0.1%
|
|
| 4300 | 1 |
0%
|
|
| 4400 | 1 |
0%
|
|
| 4800 | 4 |
0.1%
|
|
| 5000 | 28 |
1%
|
|
| 5100 | 1 |
0%
|
|
| 5400 | 1 |
0%
|
|
| 6000 | 23 |
0.8%
|
|
| 6500 | 1 |
0%
|
|
| 6600 | 1 |
0%
|
|
| 7000 | 3 |
0.1%
|
|
| 7500 | 2 |
0.1%
|
|
| 7700 | 1 |
0%
|
|
| 7750 | 1 |
0%
|
|
| 8000 | 7 |
0.2%
|
|
| 8400 | 2 |
0.1%
|
|
| 8750 | 1 |
0%
|
|
| 9000 | 4 |
0.1%
|
|
| 9150 | 1 |
0%
|
|
| 10000 | 15 |
0.5%
|
|
| 11000 | 2 |
0.1%
|
|
| 12000 | 6 |
0.2%
|
|
| 12500 | 1 |
0%
|
|
| 12600 | 1 |
0%
|
|
| 13000 | 2 |
0.1%
|
|
| 13500 | 1 |
0%
|
|
| 13680 | 1 |
0%
|
|
| 14000 | 2 |
0.1%
|
|
| 15000 | 3 |
0.1%
|
|
| 16000 | 3 |
0.1%
|
|
| 18000 | 1 |
0%
|
|
| 19200 | 1 |
0%
|
|
| 20000 | 4 |
0.1%
|
|
| 21600 | 1 |
0%
|
|
| 24000 | 5 |
0.2%
|
|
| 25000 | 2 |
0.1%
|
|
| 30000 | 8 |
0.3%
|
|
| 31000 | 1 |
0%
|
|
| 50000 | 4 |
0.1%
|
|
| 55600 | 1 |
0%
|
|
| 60000 | 1 |
0%
|
|
| 75000 | 1 |
0%
|
|
| 80000 | 1 |
0%
|
|
| 84000 | 1 |
0%
|
|
| 100000 | 1 |
0%
|
|
| 108000 | 1 |
0%
|
|
| 110000 | 1 |
0%
|
|
| 120000 | 1 |
0%
|
|
| 144000 | 1 |
0%
|
|
| 180000 | 2 |
0.1%
|
|
| Sysmiss | 10954 |
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.