South Africa - Measuring Social Connection and Children’s Well-Being Using Multiple Data Sources
Reference ID | AHPU.ZA011.SOCIALCONN.2016 |
Year | 1992 - 2007 |
Country | South Africa |
Producer(s) |
Randall Kuhn Mark Collinson Sangeetha Madhavan Nicholas Townsend |
Metadata | Documentation in PDF |
Created on
May 03, 2018
Last modified
May 21, 2018
Page views
52501
Female_Infection
(Female_Infection)
File: CODData
File: CODData
Overview
Type:
Discrete Format: numeric Decimals: 0 Range: 0-26 | Valid cases: 304 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 116 | 38.2% | |
1 | 59 | 19.4% | |
2 | 30 | 9.9% | |
3 | 22 | 7.2% | |
4 | 11 | 3.6% | |
5 | 8 | 2.6% | |
6 | 7 | 2.3% | |
7 | 5 | 1.6% | |
8 | 4 | 1.3% | |
9 | 6 | 2.0% | |
10 | 6 | 2.0% | |
11 | 7 | 2.3% | |
12 | 3 | 1.0% | |
13 | 4 | 1.3% | |
14 | 3 | 1.0% | |
15 | 5 | 1.6% | |
17 | 1 | 0.3% | |
18 | 1 | 0.3% | |
20 | 2 | 0.7% | |
23 | 1 | 0.3% | |
24 | 2 | 0.7% | |
26 | 1 | 0.3% |
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.