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
60987
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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
Lunch and pocket money (s3cq30)
Data file: GMB_2010_IHS Part 1-Section 1-2-3-4-13 roster
Overview
Valid:
7478
Invalid:
31455
Minimum:
0
Maximum:
396000
Type:
Discrete
Decimal:
0
Start:
434
End:
439
Width:
6
Range:
0 - 396000
Format:
Numeric
Questions and instructions
Literal question
During the past school year what were the expenses (in Dalasis) for (name) for lunch and pocket money?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 173 |
2.3%
|
|
| 2 | 1 |
0%
|
|
| 10 | 2 |
0%
|
|
| 15 | 1 |
0%
|
|
| 18 | 6 |
0.1%
|
|
| 24 | 3 |
0%
|
|
| 27 | 2 |
0%
|
|
| 30 | 2 |
0%
|
|
| 36 | 7 |
0.1%
|
|
| 40 | 6 |
0.1%
|
|
| 45 | 19 |
0.3%
|
|
| 50 | 3 |
0%
|
|
| 54 | 2 |
0%
|
|
| 60 | 11 |
0.1%
|
|
| 70 | 2 |
0%
|
|
| 72 | 25 |
0.3%
|
|
| 75 | 4 |
0.1%
|
|
| 90 | 33 |
0.4%
|
|
| 100 | 28 |
0.4%
|
|
| 103 | 4 |
0.1%
|
|
| 115 | 2 |
0%
|
|
| 120 | 25 |
0.3%
|
|
| 130 | 1 |
0%
|
|
| 135 | 5 |
0.1%
|
|
| 140 | 5 |
0.1%
|
|
| 144 | 8 |
0.1%
|
|
| 150 | 40 |
0.5%
|
|
| 160 | 7 |
0.1%
|
|
| 180 | 281 |
3.8%
|
|
| 185 | 4 |
0.1%
|
|
| 190 | 12 |
0.2%
|
|
| 195 | 1 |
0%
|
|
| 198 | 19 |
0.3%
|
|
| 200 | 32 |
0.4%
|
|
| 203 | 2 |
0%
|
|
| 210 | 6 |
0.1%
|
|
| 215 | 1 |
0%
|
|
| 216 | 3 |
0%
|
|
| 220 | 7 |
0.1%
|
|
| 225 | 12 |
0.2%
|
|
| 240 | 9 |
0.1%
|
|
| 243 | 5 |
0.1%
|
|
| 250 | 27 |
0.4%
|
|
| 252 | 1 |
0%
|
|
| 260 | 3 |
0%
|
|
| 270 | 129 |
1.7%
|
|
| 280 | 5 |
0.1%
|
|
| 288 | 6 |
0.1%
|
|
| 290 | 2 |
0%
|
|
| 300 | 225 |
3%
|
|
| 315 | 2 |
0%
|
|
| 320 | 10 |
0.1%
|
|
| 340 | 3 |
0%
|
|
| 349 | 5 |
0.1%
|
|
| 350 | 13 |
0.2%
|
|
| 360 | 627 |
8.4%
|
|
| 372 | 5 |
0.1%
|
|
| 375 | 1 |
0%
|
|
| 380 | 13 |
0.2%
|
|
| 394 | 1 |
0%
|
|
| 396 | 20 |
0.3%
|
|
| 400 | 53 |
0.7%
|
|
| 405 | 6 |
0.1%
|
|
| 420 | 6 |
0.1%
|
|
| 425 | 3 |
0%
|
|
| 426 | 2 |
0%
|
|
| 430 | 1 |
0%
|
|
| 432 | 5 |
0.1%
|
|
| 440 | 9 |
0.1%
|
|
| 445 | 1 |
0%
|
|
| 450 | 277 |
3.7%
|
|
| 460 | 5 |
0.1%
|
|
| 468 | 6 |
0.1%
|
|
| 480 | 36 |
0.5%
|
|
| 490 | 5 |
0.1%
|
|
| 495 | 2 |
0%
|
|
| 500 | 52 |
0.7%
|
|
| 504 | 1 |
0%
|
|
| 528 | 2 |
0%
|
|
| 540 | 501 |
6.7%
|
|
| 545 | 1 |
0%
|
|
| 554 | 1 |
0%
|
|
| 560 | 46 |
0.6%
|
|
| 567 | 1 |
0%
|
|
| 575 | 1 |
0%
|
|
| 580 | 3 |
0%
|
|
| 588 | 3 |
0%
|
|
| 594 | 17 |
0.2%
|
|
| 600 | 75 |
1%
|
|
| 612 | 1 |
0%
|
|
| 630 | 16 |
0.2%
|
|
| 640 | 23 |
0.3%
|
|
| 650 | 13 |
0.2%
|
|
| 660 | 6 |
0.1%
|
|
| 675 | 1 |
0%
|
|
| 680 | 1 |
0%
|
|
| 700 | 10 |
0.1%
|
|
| 720 | 100 |
1.3%
|
|
| 740 | 4 |
0.1%
|
|
| 750 | 9 |
0.1%
|
|
| 760 | 1 |
0%
|
|
| 780 | 1 |
0%
|
|
| 792 | 4 |
0.1%
|
|
| 800 | 82 |
1.1%
|
|
| 810 | 10 |
0.1%
|
|
| 840 | 5 |
0.1%
|
|
| 850 | 4 |
0.1%
|
|
| 875 | 2 |
0%
|
|
| 880 | 9 |
0.1%
|
|
| 900 | 2304 |
30.8%
|
|
| 924 | 3 |
0%
|
|
| 950 | 6 |
0.1%
|
|
| 960 | 1 |
0%
|
|
| 980 | 2 |
0%
|
|
| 990 | 106 |
1.4%
|
|
| 1000 | 27 |
0.4%
|
|
| 1080 | 63 |
0.8%
|
|
| 1100 | 3 |
0%
|
|
| 1120 | 1 |
0%
|
|
| 1125 | 2 |
0%
|
|
| 1140 | 1 |
0%
|
|
| 1170 | 6 |
0.1%
|
|
| 1188 | 1 |
0%
|
|
| 1200 | 36 |
0.5%
|
|
| 1240 | 1 |
0%
|
|
| 1260 | 32 |
0.4%
|
|
| 1275 | 2 |
0%
|
|
| 1300 | 19 |
0.3%
|
|
| 1320 | 4 |
0.1%
|
|
| 1330 | 2 |
0%
|
|
| 1340 | 1 |
0%
|
|
| 1350 | 82 |
1.1%
|
|
| 1386 | 2 |
0%
|
|
| 1396 | 1 |
0%
|
|
| 1400 | 14 |
0.2%
|
|
| 1440 | 25 |
0.3%
|
|
| 1450 | 5 |
0.1%
|
|
| 1485 | 1 |
0%
|
|
| 1500 | 33 |
0.4%
|
|
| 1584 | 6 |
0.1%
|
|
| 1600 | 8 |
0.1%
|
|
| 1620 | 7 |
0.1%
|
|
| 1700 | 4 |
0.1%
|
|
| 1710 | 1 |
0%
|
|
| 1750 | 1 |
0%
|
|
| 1800 | 804 |
10.8%
|
|
| 1850 | 1 |
0%
|
|
| 1860 | 4 |
0.1%
|
|
| 1890 | 2 |
0%
|
|
| 1900 | 9 |
0.1%
|
|
| 1950 | 1 |
0%
|
|
| 1980 | 76 |
1%
|
|
| 2000 | 7 |
0.1%
|
|
| 2100 | 1 |
0%
|
|
| 2160 | 3 |
0%
|
|
| 2175 | 1 |
0%
|
|
| 2178 | 1 |
0%
|
|
| 2250 | 13 |
0.2%
|
|
| 2340 | 2 |
0%
|
|
| 2400 | 5 |
0.1%
|
|
| 2430 | 3 |
0%
|
|
| 2475 | 5 |
0.1%
|
|
| 2500 | 5 |
0.1%
|
|
| 2600 | 3 |
0%
|
|
| 2700 | 122 |
1.6%
|
|
| 2835 | 1 |
0%
|
|
| 2880 | 1 |
0%
|
|
| 2900 | 2 |
0%
|
|
| 2970 | 33 |
0.4%
|
|
| 3000 | 7 |
0.1%
|
|
| 3150 | 3 |
0%
|
|
| 3168 | 1 |
0%
|
|
| 3600 | 88 |
1.2%
|
|
| 3762 | 2 |
0%
|
|
| 3960 | 12 |
0.2%
|
|
| 4050 | 1 |
0%
|
|
| 4240 | 1 |
0%
|
|
| 4320 | 2 |
0%
|
|
| 4400 | 3 |
0%
|
|
| 4500 | 52 |
0.7%
|
|
| 4752 | 1 |
0%
|
|
| 4800 | 1 |
0%
|
|
| 4950 | 7 |
0.1%
|
|
| 5400 | 13 |
0.2%
|
|
| 5580 | 1 |
0%
|
|
| 6000 | 1 |
0%
|
|
| 6180 | 1 |
0%
|
|
| 6300 | 3 |
0%
|
|
| 6750 | 1 |
0%
|
|
| 7200 | 3 |
0%
|
|
| 7920 | 2 |
0%
|
|
| 8100 | 2 |
0%
|
|
| 9000 | 5 |
0.1%
|
|
| 12000 | 1 |
0%
|
|
| 13500 | 1 |
0%
|
|
| 18000 | 1 |
0%
|
|
| 18180 | 1 |
0%
|
|
| 396000 | 1 |
0%
|
|
| Sysmiss | 31455 |
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.