General Household Survey 2005
South Africa, 2005
Get Microdata
Reference ID
ZAF_2005_GHS_v02_M
Producer(s)
Statistics South Africa
Collection(s)
Metadata
Created on
Jan 27, 2012
Last modified
May 01, 2014
Page views
44419
Downloads
7189
Improvements (q415cimp)
Data file: GHS 2005 House_v1
Overview
Valid:
28102
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
153
End:
159
Width:
7
Range:
0 - 9999999
Format:
Numeric
Questions and instructions
Literal question
4.15 Amount paid on:
c. Improvements (Additions and alterations including installation of security systems, build-in furniture, solar energy systems, swimming pools and garden lay-outs)
c. Improvements (Additions and alterations including installation of security systems, build-in furniture, solar energy systems, swimming pools and garden lay-outs)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1816 |
6.5%
|
|
| 10 | 2 |
0%
|
|
| 13 | 1 |
0%
|
|
| 48 | 1 |
0%
|
|
| 50 | 1 |
0%
|
|
| 52 | 1 |
0%
|
|
| 80 | 2 |
0%
|
|
| 84 | 1 |
0%
|
|
| 100 | 2 |
0%
|
|
| 105 | 1 |
0%
|
|
| 130 | 1 |
0%
|
|
| 200 | 7 |
0%
|
|
| 220 | 1 |
0%
|
|
| 250 | 4 |
0%
|
|
| 275 | 1 |
0%
|
|
| 300 | 4 |
0%
|
|
| 320 | 1 |
0%
|
|
| 350 | 2 |
0%
|
|
| 360 | 1 |
0%
|
|
| 370 | 2 |
0%
|
|
| 400 | 4 |
0%
|
|
| 450 | 2 |
0%
|
|
| 500 | 22 |
0.1%
|
|
| 530 | 1 |
0%
|
|
| 550 | 1 |
0%
|
|
| 600 | 4 |
0%
|
|
| 602 | 1 |
0%
|
|
| 650 | 1 |
0%
|
|
| 700 | 6 |
0%
|
|
| 750 | 1 |
0%
|
|
| 800 | 8 |
0%
|
|
| 855 | 1 |
0%
|
|
| 900 | 4 |
0%
|
|
| 950 | 1 |
0%
|
|
| 980 | 1 |
0%
|
|
| 1000 | 14 |
0%
|
|
| 1200 | 5 |
0%
|
|
| 1300 | 1 |
0%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 8 |
0%
|
|
| 1600 | 1 |
0%
|
|
| 1750 | 1 |
0%
|
|
| 1800 | 4 |
0%
|
|
| 1940 | 1 |
0%
|
|
| 2000 | 17 |
0.1%
|
|
| 2100 | 1 |
0%
|
|
| 2200 | 1 |
0%
|
|
| 2300 | 1 |
0%
|
|
| 2400 | 3 |
0%
|
|
| 2440 | 1 |
0%
|
|
| 2500 | 5 |
0%
|
|
| 2600 | 1 |
0%
|
|
| 2800 | 1 |
0%
|
|
| 3000 | 16 |
0.1%
|
|
| 3050 | 1 |
0%
|
|
| 3200 | 2 |
0%
|
|
| 3500 | 3 |
0%
|
|
| 3600 | 1 |
0%
|
|
| 4000 | 16 |
0.1%
|
|
| 4200 | 1 |
0%
|
|
| 4500 | 4 |
0%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 25 |
0.1%
|
|
| 5200 | 1 |
0%
|
|
| 5500 | 2 |
0%
|
|
| 5600 | 1 |
0%
|
|
| 6000 | 13 |
0%
|
|
| 6200 | 1 |
0%
|
|
| 6400 | 1 |
0%
|
|
| 6500 | 2 |
0%
|
|
| 6600 | 1 |
0%
|
|
| 7000 | 11 |
0%
|
|
| 7500 | 2 |
0%
|
|
| 8000 | 9 |
0%
|
|
| 9000 | 3 |
0%
|
|
| 10000 | 19 |
0.1%
|
|
| 10500 | 1 |
0%
|
|
| 10560 | 1 |
0%
|
|
| 11000 | 1 |
0%
|
|
| 12000 | 7 |
0%
|
|
| 13400 | 1 |
0%
|
|
| 14000 | 3 |
0%
|
|
| 14750 | 1 |
0%
|
|
| 15000 | 14 |
0%
|
|
| 16000 | 1 |
0%
|
|
| 17000 | 2 |
0%
|
|
| 18000 | 4 |
0%
|
|
| 20000 | 9 |
0%
|
|
| 22000 | 2 |
0%
|
|
| 25000 | 2 |
0%
|
|
| 30000 | 4 |
0%
|
|
| 32000 | 1 |
0%
|
|
| 35000 | 1 |
0%
|
|
| 36000 | 1 |
0%
|
|
| 37260 | 1 |
0%
|
|
| 40000 | 5 |
0%
|
|
| 47000 | 1 |
0%
|
|
| 48000 | 1 |
0%
|
|
| 50000 | 1 |
0%
|
|
| 56000 | 1 |
0%
|
|
| 60000 | 2 |
0%
|
|
| 70000 | 2 |
0%
|
|
| 80000 | 3 |
0%
|
|
| 100000 | 2 |
0%
|
|
| 106000 | 1 |
0%
|
|
| 150000 | 1 |
0%
|
|
| 170000 | 1 |
0%
|
|
| 180000 | 1 |
0%
|
|
| 300000 | 2 |
0%
|
|
| 8888888 | Not applicable | 25739 |
91.6%
|
| 9003101 | 1 |
0%
|
|
| 9999999 | Unspecified | 168 |
0.6%
|
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.