Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / GMB_IHS_2015-2016_V01_ES_M_V01_A_OCS / variable [F7]
agricultural-surveys

Integrated Household Survey 2015

Gambia, 2015 - 2016
Get Microdata
Reference ID
GMB_IHS_2015-2016_v01_ES_M_v01_A_OCS
Producer(s)
The Gambia Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 18, 2022
Last modified
Jan 25, 2023
Page views
10192
Downloads
193

Amount spent on improving the existing house last 12 months (s8bq12c)

Data file: Part A Section 8-Housing

Overview

Valid: 634
Invalid: 12647
Type: Discrete
Decimal: 0
Start: 140
End: 146
Width: 7
Range: -99 - 350000
Format: Numeric

Questions and instructions

Literal question
During the last 12 months, how much have you spent on house construction (building a new house or an improvement/extension to the existing one) - minor improvement?
Categories
Value Category Cases
-99 Don't know 0
0%
0 154
24.3%
100 2
0.3%
150 1
0.2%
170 1
0.2%
200 6
0.9%
210 1
0.2%
250 6
0.9%
270 1
0.2%
275 1
0.2%
280 1
0.2%
290 1
0.2%
300 7
1.1%
305 1
0.2%
350 1
0.2%
360 1
0.2%
370 1
0.2%
375 4
0.6%
400 7
1.1%
450 3
0.5%
475 1
0.2%
490 1
0.2%
500 31
4.9%
510 1
0.2%
540 1
0.2%
550 4
0.6%
570 2
0.3%
600 8
1.3%
625 2
0.3%
630 1
0.2%
640 1
0.2%
650 1
0.2%
675 1
0.2%
700 13
2.1%
760 1
0.2%
765 1
0.2%
780 1
0.2%
800 7
1.1%
820 1
0.2%
825 1
0.2%
850 3
0.5%
895 1
0.2%
900 5
0.8%
920 1
0.2%
955 1
0.2%
1000 34
5.4%
1050 3
0.5%
1070 1
0.2%
1100 2
0.3%
1175 1
0.2%
1200 5
0.8%
1250 2
0.3%
1280 2
0.3%
1300 4
0.6%
1320 1
0.2%
1325 1
0.2%
1390 1
0.2%
1400 3
0.5%
1450 1
0.2%
1500 17
2.7%
1600 4
0.6%
1620 1
0.2%
1700 3
0.5%
1750 3
0.5%
1800 4
0.6%
1810 1
0.2%
1950 1
0.2%
1960 1
0.2%
1970 1
0.2%
2000 19
3%
2075 1
0.2%
2100 2
0.3%
2125 1
0.2%
2200 2
0.3%
2270 1
0.2%
2280 1
0.2%
2300 3
0.5%
2400 3
0.5%
2460 1
0.2%
2500 6
0.9%
2560 1
0.2%
2600 1
0.2%
2640 1
0.2%
2700 1
0.2%
2800 1
0.2%
2875 1
0.2%
2950 1
0.2%
2975 1
0.2%
3000 23
3.6%
3060 1
0.2%
3300 1
0.2%
3375 1
0.2%
3500 8
1.3%
3525 1
0.2%
3560 1
0.2%
3600 1
0.2%
3700 1
0.2%
3750 1
0.2%
3800 1
0.2%
3900 1
0.2%
4000 15
2.4%
4110 1
0.2%
4200 1
0.2%
4375 1
0.2%
4400 1
0.2%
4500 5
0.8%
4600 1
0.2%
4650 1
0.2%
4790 1
0.2%
4800 3
0.5%
4860 1
0.2%
5000 29
4.6%
5075 1
0.2%
5100 1
0.2%
5180 1
0.2%
5225 1
0.2%
5250 2
0.3%
5300 1
0.2%
5400 1
0.2%
5500 1
0.2%
5600 1
0.2%
6000 11
1.7%
6250 1
0.2%
6500 2
0.3%
6850 1
0.2%
7000 7
1.1%
7500 1
0.2%
7800 1
0.2%
8000 5
0.8%
8400 1
0.2%
8500 1
0.2%
9000 2
0.3%
9600 2
0.3%
9900 1
0.2%
10000 19
3%
10030 1
0.2%
10300 1
0.2%
12000 2
0.3%
13000 3
0.5%
13400 1
0.2%
13500 1
0.2%
14900 1
0.2%
15000 7
1.1%
16000 1
0.2%
17000 2
0.3%
20000 1
0.2%
20500 1
0.2%
25000 2
0.3%
30000 2
0.3%
36000 1
0.2%
40000 1
0.2%
50000 1
0.2%
60000 2
0.3%
350000 1
0.2%
1000001 .D 1
Sysmiss 12646
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.
Back to Catalog