Integrated Household Survey 2015
Gambia, 2015 - 2016
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Reference ID
GMB_IHS_2015-2016_v01_ES_M_v01_A_OCS
Producer(s)
The Gambia Bureau of Statistics
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Metadata
Created on
Nov 18, 2022
Last modified
Jan 25, 2023
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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
Medicines (prescriptions and over-the counter) (s2aq20j)
Data file: Part A Section 1-6 Individual-level
Overview
Valid:
4092
Invalid:
101705
Type:
Discrete
Decimal:
0
Start:
230
End:
235
Width:
6
Range:
-99 - 11000
Format:
Numeric
Questions and instructions
Literal question
How much was spent on medicines by [NAME]?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Don't know | 0 |
0%
|
| 0 | 1983 |
48.5%
|
|
| 5 | 2 |
0%
|
|
| 10 | 15 |
0.4%
|
|
| 15 | 21 |
0.5%
|
|
| 18 | 2 |
0%
|
|
| 20 | 9 |
0.2%
|
|
| 25 | 109 |
2.7%
|
|
| 30 | 29 |
0.7%
|
|
| 35 | 28 |
0.7%
|
|
| 37 | 2 |
0%
|
|
| 40 | 20 |
0.5%
|
|
| 45 | 11 |
0.3%
|
|
| 50 | 231 |
5.6%
|
|
| 55 | 10 |
0.2%
|
|
| 60 | 27 |
0.7%
|
|
| 65 | 18 |
0.4%
|
|
| 69 | 1 |
0%
|
|
| 70 | 28 |
0.7%
|
|
| 75 | 172 |
4.2%
|
|
| 80 | 17 |
0.4%
|
|
| 85 | 13 |
0.3%
|
|
| 90 | 22 |
0.5%
|
|
| 95 | 4 |
0.1%
|
|
| 98 | 1 |
0%
|
|
| 100 | 193 |
4.7%
|
|
| 105 | 6 |
0.1%
|
|
| 110 | 12 |
0.3%
|
|
| 115 | 6 |
0.1%
|
|
| 120 | 23 |
0.6%
|
|
| 125 | 83 |
2%
|
|
| 130 | 15 |
0.4%
|
|
| 135 | 5 |
0.1%
|
|
| 140 | 6 |
0.1%
|
|
| 143 | 1 |
0%
|
|
| 145 | 3 |
0.1%
|
|
| 150 | 267 |
6.5%
|
|
| 155 | 2 |
0%
|
|
| 160 | 13 |
0.3%
|
|
| 165 | 1 |
0%
|
|
| 170 | 8 |
0.2%
|
|
| 175 | 39 |
1%
|
|
| 180 | 18 |
0.4%
|
|
| 185 | 2 |
0%
|
|
| 190 | 8 |
0.2%
|
|
| 200 | 142 |
3.5%
|
|
| 205 | 1 |
0%
|
|
| 210 | 4 |
0.1%
|
|
| 220 | 1 |
0%
|
|
| 221 | 1 |
0%
|
|
| 225 | 16 |
0.4%
|
|
| 230 | 1 |
0%
|
|
| 235 | 3 |
0.1%
|
|
| 240 | 4 |
0.1%
|
|
| 245 | 5 |
0.1%
|
|
| 250 | 85 |
2.1%
|
|
| 260 | 2 |
0%
|
|
| 265 | 1 |
0%
|
|
| 270 | 3 |
0.1%
|
|
| 275 | 13 |
0.3%
|
|
| 280 | 6 |
0.1%
|
|
| 285 | 2 |
0%
|
|
| 290 | 1 |
0%
|
|
| 300 | 78 |
1.9%
|
|
| 301 | 1 |
0%
|
|
| 310 | 1 |
0%
|
|
| 320 | 1 |
0%
|
|
| 323 | 1 |
0%
|
|
| 325 | 7 |
0.2%
|
|
| 330 | 1 |
0%
|
|
| 335 | 1 |
0%
|
|
| 340 | 1 |
0%
|
|
| 350 | 39 |
1%
|
|
| 356 | 1 |
0%
|
|
| 360 | 1 |
0%
|
|
| 370 | 4 |
0.1%
|
|
| 375 | 12 |
0.3%
|
|
| 380 | 2 |
0%
|
|
| 388 | 1 |
0%
|
|
| 390 | 1 |
0%
|
|
| 400 | 26 |
0.6%
|
|
| 410 | 1 |
0%
|
|
| 425 | 3 |
0.1%
|
|
| 430 | 1 |
0%
|
|
| 450 | 9 |
0.2%
|
|
| 460 | 1 |
0%
|
|
| 475 | 2 |
0%
|
|
| 485 | 1 |
0%
|
|
| 500 | 27 |
0.7%
|
|
| 540 | 1 |
0%
|
|
| 550 | 8 |
0.2%
|
|
| 570 | 1 |
0%
|
|
| 586 | 1 |
0%
|
|
| 600 | 13 |
0.3%
|
|
| 615 | 1 |
0%
|
|
| 625 | 1 |
0%
|
|
| 630 | 1 |
0%
|
|
| 650 | 2 |
0%
|
|
| 675 | 2 |
0%
|
|
| 700 | 6 |
0.1%
|
|
| 750 | 2 |
0%
|
|
| 800 | 5 |
0.1%
|
|
| 805 | 1 |
0%
|
|
| 826 | 1 |
0%
|
|
| 850 | 1 |
0%
|
|
| 870 | 1 |
0%
|
|
| 890 | 1 |
0%
|
|
| 900 | 3 |
0.1%
|
|
| 999 | 1 |
0%
|
|
| 1000 | 6 |
0.1%
|
|
| 1100 | 2 |
0%
|
|
| 1125 | 3 |
0.1%
|
|
| 1200 | 2 |
0%
|
|
| 1250 | 1 |
0%
|
|
| 1300 | 1 |
0%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 6 |
0.1%
|
|
| 1522 | 1 |
0%
|
|
| 1600 | 1 |
0%
|
|
| 1800 | 2 |
0%
|
|
| 2000 | 1 |
0%
|
|
| 2340 | 1 |
0%
|
|
| 2500 | 2 |
0%
|
|
| 2600 | 1 |
0%
|
|
| 2900 | 1 |
0%
|
|
| 3000 | 1 |
0%
|
|
| 4000 | 2 |
0%
|
|
| 5000 | 1 |
0%
|
|
| 7000 | 1 |
0%
|
|
| 10001 | .M | 0 |
0%
|
| 11000 | 1 |
0%
|
|
| 100001 | 11 | ||
| Sysmiss | 101694 |
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.