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GMB_2010_IHS_V01_M
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variable [F14]
Integrated Household Survey 2010
Gambia, The
,
2010 - 2011
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Reference ID
GMB_2010_IHS_v01_M
Producer(s)
The Gambia Bureau of Statistics
Metadata
DDI/XML
JSON
Created on
Apr 07, 2014
Last modified
Mar 29, 2019
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Study Description
Data Dictionary
Downloads
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Related Publications
Data files
Durable goods
deflators
GMB_2010_IHS HH
weights
GMB_2010_IHS
Part 1-Section
0 Household
characteristics
GMB_2010_IHS
Part 1-Section
1-2-3-4-13
roster
GMB_2010_IHS
Part 1-Section
5b Livestock
GMB_2010_IHS
Part 1-Section
6 Household
Income
GMB_2010_IHS
Part 1-Section
7_2 Rent paid
GMB_2010_IHS
Part 1-Section
8 Housing
amenities
GMB_2010_IHS
Part 1-Section
9 Ownership of
assets
GMB_2010_IHS
Part 1-Section
10 Environment
GMB_2010_IHS
Part 1-Section
11 Perception
about Poverty
GMB_2010_IHS
Part 1-Section
12 Governance
GMB_2010_IHS
Part 2-Module A
Food own
consumption 3
days
GMB_2010_IHS
Part 2-Module B
Food
consumption
expenditure-1
week
GMB_2010_IHS
Part 2-Module
C_1 Non-food
expenditure-1
week
GMB_2010_IHS
Part 2-Module
C_2 Non-food
expenditure-1
month
GMB_2010_IHS
Part 2-Module D
Non-food
expenditure-3
months
GMB_2010_IHS
Part 2-Module E
Non-food
expenditure-12
months
GMB_2010_IHS
Part 2-Module F
Durable goods
GMB_2010_IHS
Part 2-Module G
Receipts from
sale of used
items
GMB_2010_IHS
Part 2-Module
H_1
Miscellaneous
income
GMB_2010_IHS
Part 2-Module
H_2
Miscellaneous
expenditure
GMB_2010_IHS
Part 2-Module I
Transfer
payments made
out
GMB_2010_IHS
Part 2-Module J
Transfer
payments
received
GMB_2010_IHS
Part 2-Section
0 Household
characteristics
Sub division (subdivision)
Data file:
GMB_2010_IHS Part 2-Module B Food consumption expenditure-1 week
Overview
Valid:
123667
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
21
End:
23
Width:
3
Range:
-
Format:
Questions and instructions
Categories
Value
Category
101
Banjul
201
Kanifing
301
Kombo north
302
Other kombos
303
Fonies
401
Mansa konko
501
NBR west
502
NBR east
601
Kuntaur
701
Jangjang bureh
801
Urr south
802
Urr north
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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