Integrated Household Survey 2010
Gambia, 2010 - 2011
Get Microdata
Reference ID
GMB_2010_IHS_v01_M
Producer(s)
The Gambia Bureau of Statistics
Metadata
Created on
Oct 23, 2018
Last modified
Oct 23, 2018
Page views
50553
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- 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
How much money do you think will be enough to cover this household's basic (h14)
Data file: GMB_2010_IHS Part 2-Module H_2 Miscellaneous expenditure
Overview
Valid:
4794
Invalid:
51
Minimum:
0
Maximum:
3000000
Type:
Discrete
Decimal:
0
Start:
71
End:
77
Width:
7
Range:
0 - 3000000
Format:
Numeric
Questions and instructions
Literal question
During the past 12 months, how much did the household spend (in cash and kind) on - ?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 19 |
0.4%
|
|
| 100 | 1 |
0%
|
|
| 200 | 5 |
0.1%
|
|
| 220 | 1 |
0%
|
|
| 230 | 1 |
0%
|
|
| 250 | 1 |
0%
|
|
| 300 | 2 |
0%
|
|
| 350 | 1 |
0%
|
|
| 400 | 2 |
0%
|
|
| 500 | 12 |
0.3%
|
|
| 600 | 3 |
0.1%
|
|
| 700 | 3 |
0.1%
|
|
| 750 | 1 |
0%
|
|
| 800 | 4 |
0.1%
|
|
| 900 | 4 |
0.1%
|
|
| 952 | 1 |
0%
|
|
| 1000 | 86 |
1.8%
|
|
| 1006 | 1 |
0%
|
|
| 1085 | 1 |
0%
|
|
| 1200 | 11 |
0.2%
|
|
| 1300 | 7 |
0.1%
|
|
| 1400 | 3 |
0.1%
|
|
| 1450 | 1 |
0%
|
|
| 1500 | 121 |
2.5%
|
|
| 1550 | 1 |
0%
|
|
| 1600 | 6 |
0.1%
|
|
| 1700 | 7 |
0.1%
|
|
| 1750 | 2 |
0%
|
|
| 1800 | 20 |
0.4%
|
|
| 1860 | 1 |
0%
|
|
| 1900 | 4 |
0.1%
|
|
| 2000 | 301 |
6.3%
|
|
| 2006 | 1 |
0%
|
|
| 2008 | 1 |
0%
|
|
| 2100 | 9 |
0.2%
|
|
| 2150 | 2 |
0%
|
|
| 2172 | 1 |
0%
|
|
| 2200 | 10 |
0.2%
|
|
| 2212 | 1 |
0%
|
|
| 2235 | 1 |
0%
|
|
| 2250 | 5 |
0.1%
|
|
| 2300 | 14 |
0.3%
|
|
| 2325 | 1 |
0%
|
|
| 2340 | 1 |
0%
|
|
| 2400 | 19 |
0.4%
|
|
| 2450 | 2 |
0%
|
|
| 2500 | 271 |
5.7%
|
|
| 2580 | 1 |
0%
|
|
| 2585 | 1 |
0%
|
|
| 2600 | 22 |
0.5%
|
|
| 2650 | 1 |
0%
|
|
| 2659 | 1 |
0%
|
|
| 2660 | 1 |
0%
|
|
| 2680 | 1 |
0%
|
|
| 2700 | 6 |
0.1%
|
|
| 2750 | 1 |
0%
|
|
| 2760 | 1 |
0%
|
|
| 2775 | 1 |
0%
|
|
| 2800 | 25 |
0.5%
|
|
| 2850 | 1 |
0%
|
|
| 2860 | 1 |
0%
|
|
| 2900 | 2 |
0%
|
|
| 3000 | 534 |
11.1%
|
|
| 3050 | 1 |
0%
|
|
| 3100 | 5 |
0.1%
|
|
| 3200 | 24 |
0.5%
|
|
| 3250 | 3 |
0.1%
|
|
| 3300 | 2 |
0%
|
|
| 3350 | 2 |
0%
|
|
| 3400 | 13 |
0.3%
|
|
| 3500 | 203 |
4.2%
|
|
| 3520 | 1 |
0%
|
|
| 3600 | 18 |
0.4%
|
|
| 3650 | 1 |
0%
|
|
| 3675 | 1 |
0%
|
|
| 3700 | 8 |
0.2%
|
|
| 3708 | 1 |
0%
|
|
| 3750 | 4 |
0.1%
|
|
| 3800 | 15 |
0.3%
|
|
| 3820 | 1 |
0%
|
|
| 3900 | 4 |
0.1%
|
|
| 3950 | 1 |
0%
|
|
| 4000 | 385 |
8%
|
|
| 4006 | 1 |
0%
|
|
| 4035 | 1 |
0%
|
|
| 4040 | 1 |
0%
|
|
| 4057 | 1 |
0%
|
|
| 4100 | 2 |
0%
|
|
| 4120 | 1 |
0%
|
|
| 4200 | 15 |
0.3%
|
|
| 4280 | 1 |
0%
|
|
| 4300 | 2 |
0%
|
|
| 4400 | 2 |
0%
|
|
| 4450 | 1 |
0%
|
|
| 4500 | 127 |
2.6%
|
|
| 4586 | 1 |
0%
|
|
| 4600 | 6 |
0.1%
|
|
| 4650 | 1 |
0%
|
|
| 4654 | 1 |
0%
|
|
| 4700 | 2 |
0%
|
|
| 4750 | 1 |
0%
|
|
| 4800 | 13 |
0.3%
|
|
| 5000 | 642 |
13.4%
|
|
| 5006 | 1 |
0%
|
|
| 5042 | 1 |
0%
|
|
| 5200 | 6 |
0.1%
|
|
| 5400 | 4 |
0.1%
|
|
| 5500 | 33 |
0.7%
|
|
| 5600 | 6 |
0.1%
|
|
| 5700 | 2 |
0%
|
|
| 5900 | 1 |
0%
|
|
| 6000 | 302 |
6.3%
|
|
| 6200 | 3 |
0.1%
|
|
| 6300 | 3 |
0.1%
|
|
| 6325 | 1 |
0%
|
|
| 6400 | 3 |
0.1%
|
|
| 6500 | 38 |
0.8%
|
|
| 6700 | 9 |
0.2%
|
|
| 6800 | 6 |
0.1%
|
|
| 6900 | 3 |
0.1%
|
|
| 7000 | 158 |
3.3%
|
|
| 7200 | 6 |
0.1%
|
|
| 7300 | 1 |
0%
|
|
| 7350 | 1 |
0%
|
|
| 7400 | 1 |
0%
|
|
| 7500 | 47 |
1%
|
|
| 7700 | 1 |
0%
|
|
| 7800 | 2 |
0%
|
|
| 8000 | 208 |
4.3%
|
|
| 8100 | 1 |
0%
|
|
| 8125 | 1 |
0%
|
|
| 8500 | 14 |
0.3%
|
|
| 8600 | 1 |
0%
|
|
| 8610 | 1 |
0%
|
|
| 8800 | 1 |
0%
|
|
| 9000 | 52 |
1.1%
|
|
| 9500 | 6 |
0.1%
|
|
| 10000 | 393 |
8.2%
|
|
| 10500 | 1 |
0%
|
|
| 10600 | 1 |
0%
|
|
| 11000 | 17 |
0.4%
|
|
| 11100 | 1 |
0%
|
|
| 11200 | 2 |
0%
|
|
| 11370 | 1 |
0%
|
|
| 11500 | 1 |
0%
|
|
| 12000 | 60 |
1.3%
|
|
| 13000 | 13 |
0.3%
|
|
| 13500 | 1 |
0%
|
|
| 13600 | 1 |
0%
|
|
| 14000 | 6 |
0.1%
|
|
| 14100 | 1 |
0%
|
|
| 15000 | 94 |
2%
|
|
| 16000 | 9 |
0.2%
|
|
| 16500 | 1 |
0%
|
|
| 17000 | 3 |
0.1%
|
|
| 18000 | 7 |
0.1%
|
|
| 19000 | 1 |
0%
|
|
| 20000 | 62 |
1.3%
|
|
| 21000 | 1 |
0%
|
|
| 22000 | 1 |
0%
|
|
| 23000 | 1 |
0%
|
|
| 25000 | 27 |
0.6%
|
|
| 26000 | 2 |
0%
|
|
| 27295 | 1 |
0%
|
|
| 30000 | 20 |
0.4%
|
|
| 32000 | 1 |
0%
|
|
| 32100 | 1 |
0%
|
|
| 35000 | 5 |
0.1%
|
|
| 36000 | 1 |
0%
|
|
| 40000 | 6 |
0.1%
|
|
| 40500 | 1 |
0%
|
|
| 45000 | 4 |
0.1%
|
|
| 50000 | 10 |
0.2%
|
|
| 60000 | 6 |
0.1%
|
|
| 71000 | 1 |
0%
|
|
| 80000 | 3 |
0.1%
|
|
| 100000 | 9 |
0.2%
|
|
| 200000 | 3 |
0.1%
|
|
| 1000022 | 1 |
0%
|
|
| 3000000 | 1 |
0%
|
|
| Sysmiss | 51 |
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.