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    Home / Central Data Catalog / GMB_2015_IHS_V01_M / variable [F34]
central

Integrated Household Survey 2015

Gambia, 2015 - 2016
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Reference ID
GMB_2015_IHS_v01_M
Producer(s)
The Gambia Bureau of Statistics
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 23, 2018
Last modified
Jul 28, 2020
Page views
128137
Downloads
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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.
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