October Household
Survey |
1998
Embargo: 14:00
Date: 18 May 2000
Read the following notice with regard to the eleven official languages
| © Copyright 2000 Users may apply or process this data, provided Statistics South Africa is acknowledged as the original source of the data; that it is specified that the application and/or analysis is the result of the users independent processing of the data; and that neither the basic data nor any reprocessed version or application thereof may be sold or offered for sale in any form whatsoever. |
Dr F M Orkin
Head: Statistics South Africa
OCTOBER HOUSEHOLD SURVEY, 1998: This statistical release presents a selection of indicative findings and tables from Stats SAs 1998 October household survey (OHS). The survey gathered detailed information on approximately 100 000 people of all population groups, living in 20 000 households across the country. This release also compares the available data in October 1998 on employment and unemployment among individuals, and aspects of living conditions among households, with data from the October 1996 and 1997 surveys. The OHS is an annual survey, based on a probability sample of a large number of households (ranging from 16 000 in 1996 through 30 000 in 1997 to 20 000 in 1998, depending on the availability of funding). It covers a range of development indicators, including unemployment rates (official and expanded), according to standard definitions of the International Labour Organisation (ILO; for these definitions see Note 1 on page 12). Due to funding limitations, the sample size was smaller for the 1998 OHS than it was in 1997 (20 000 as against 30 000 households with 10 households per enumerator area), but larger and less clustered than in 1996 (16 000 households per cluster of two adjacent enumerator areas). The sampling and weighting procedures are similar to those used in 1997. More details of the various OHS sample sizes, sampling and weighting procedures are given in Notes 2, 3 and 4 on pages 12 and 13. The following section of the report, Key comparisons, compares aspects of the 1998 OHS with those of 1996 and 1997. It examines labour market issues, including employment and unemployment according to both the official and the expanded definitions. It also examines access to infrastructure and facilities in urban and non-urban environments. Other breakdowns for OHS 1998, and several other development-related variables, are covered in the later section of Tables. The 1996, 1997 and 1998 OHS data sets, weighted to the 1996 population census (adjusted upwards to take population growth into account in 1997 and 1998) are available on CD-ROM from Stats SAs users enquiries. The October household survey data sets for 1994 and 1995 re-weighted to the 1996 population census will follow at a later stage. Comparisons between four OHSs (1994 to 1997) in respect of employment and unemployment and the associated breakdowns have already been issued, both as a statistical release (PO317.10) and as an analytical report: Unemployment and employment in South Africa. These publications are available from users enquiries. Because the 1996 census results were not yet available to use for weighting when they were written, the data in these two publications had to be weighted according to the post-enumeration survey of the census. They differ slightly from those reported here. KEY COMPARISONS
BETWEEN THE OHSs OF 96, 97 AND 98 Certain changes are difficult to detect over a one- or two- or even three-year time period, since they become measurable only in the longer term. For example patterns regarding changes in the level of education of the population aged 20 years or more are difficult to isolate in such a short time frame. On the other hand, some changes, such as access to employment and to formal housing, are easier to detect during a shorter time period. This summary focuses on those possible short-term changes between 1996, 1997 and 1998. But such findings need to be viewed with caution, since they are based on three separate cross-sectional samples. Although Stats SA has calculated standard errors and confidence intervals for certain variables to take sampling errors into account, and to indicate which changes are statistically significant, a longer time series is required to examine these changes more thoroughly. Labour
market trends in OHS 1996, 1997 and 1998, based on the official definition of unemployment In the 1996 and 1997 OHS statistical releases, those working in the mining sector were excluded from the calculations of labour force statistics, since the sampling frame did not adequately cover mining hostels. But in 1998, for the first time, the sampling frame was able to include these hostels. In this publication, Stats SA has included those working in the mining sector in 1996 and 1997 wherever possible, even though they were excluded previously, to make the data comparable with 1998. The 1996 and 1997 mining employment figures were obtained from the formal establishment-based Survey of total employment and earnings (STEE). As a result, the labour market statistics given for OHS 1996 and 1997 in this release may differ in this respect from those given in the original 1996 and 1997 statistical releases. Table A on page 5 compares overall labour market trends in 1996, 1997 and 1998, based on the official definition of unemployment (See Note 1 for this definition). It looks at the total number of people in the age category 15-65 years (those of working age), and the estimated change in the size of this population. It also indicates the number of people in this age category over the three-year period who were not economically active (for example, students, full-time homemakers and the disabled who were unable to work), and those who were (both the employed and the unemployed according to the official definition of unemployment). Among the employed, it compares the actual number of people working in business establishments according to the Survey of total employment and earnings (STEE) of September 1996, 1997 and 1998, with the number employed in various other types of employment across the three OHSs. The STEE does not presently collect information on the following sectors:
When employment in the mining sector is included, the official unemployment rate was 19,3% in 1996, increasing to 21,0% in 1997 and 25,2% in 1998. |
TABLE A: LABOUR MARKET STATISTICS, INCLUDING THE MINING
SECTOR, BASED ON THE
OFFICIAL DEFINITION OF UNEMPLOYMENT, OCTOBER 1996, 1997 and 1998
| Labour market variables (i) |
1996 N (000s) (ii) |
1997 N (000s) (iii) |
1998 N (000s) (iv) |
|
| a) | Total Employed |
9 287 |
9 247 |
9 390 |
Among the employed: |
||||
| Employed in the formal sector STEE survey (excluding agriculture and certain activities, not covered in STEE) | 5 242 |
5 139 |
4 945 |
|
| Employed in agriculture | * 759 |
717 |
935 |
|
| Employed in the formal sector in activities not covered in STEE | 1 550 |
1 587 |
1 445 |
|
| Employed in the informal sector | ** 996 |
1 136 |
1 316 |
|
| Employed in domestic service | 740 |
668 |
749 |
|
| b) | Total unemployed (official definition) | 2 224 |
2 451 |
3 163 |
| c) | Total economically active = a + b | 11 511 |
11 698 |
12 553 |
| d) | Total not economically active | 13 146 |
13 414 |
13 157 |
| e) | Total aged 15-65 years = c + d | 24 657 |
25 112 |
25 710 |
| f) | Official unemployment rate (including mining) = b * 100 / c | 19,3% |
21,0% |
25,2% |
* The sample size was smaller (16 000 households), and more clustered, in 1996 (20 households per combined cluster of two enumerator areas or EAs), compared with 1997 (30 000 households and 10 households per EA) and 1998 (20 000 households and 10 households per EA). Therefore statistics by industry should be treated with caution. ** he questionnaire in 1996, while differentiating between the self-employed and employers in the formal and informal sectors, did not distinguish between employees in the formal, as against those in the informal sector, but this distinction was made in 1997 and 1998, giving a more complete picture of the informal sector. The size of the sector in 1996 has therefore been estimated on the basis of the proportions of informal employers and employees in 1997 and 1998. Back to contentsFigure 1 is based on the official definition of unemployment, as derived in Table A above, for 1996 to 1998. It shows the following:
|
Figure1:
Labour market status among those aged 15-65 years
October 1996, 1997 and 1998
Labour
market trends in OHS 1996, 1997 and 1998, based on the expanded definition of unemployment The main difference between the official and the expanded definitions of unemployment is the requirement in the former of engaging in job seeking in the four weeks prior to the interview for the survey (see Note 1 for both definitions). These definitions have an effect on the size of what is considered to be the labour market. Table B below compares overall labour market trends in 1996, 1997 and 1998, based on the expanded definition of unemployment. When compared with Table A, Table B shows that the size of the economically active population increases when the expanded definition is used. The size of the not economically active population accordingly decreases.
|
TABLE B: LABOUR MARKET STATISTICS, INCLUDING THE MINING
SECTOR, BASED ON THE EXPANDED
DEFINITION OF UNEMPLOYMENT, OCTOBER 1996, 1997 and 1998
| Labour market variables (i) |
1996 N (000s) (ii) |
1997 N (000s) (iii) |
1998 N (000s) (iv) |
|
| A | Total Employed | 9 287 |
9 247 |
9 390 |
| Among the employed: | ||||
| Employed in the formal sector STEE survey (excluding agriculture and certain activities, not covered in STEE) | 5 242 |
5 139 |
4 945 |
|
| Employed in agriculture | * 759 |
717 |
935 |
|
| Employed in the formal sector in activities not covered in STEE | 1 550 |
1 587 |
1 445 |
|
| Employed in the informal sector | ** 996 |
1 136 |
1 316 |
|
| Employed in domestic service | 740 |
668 |
749 |
|
| B | Total unemployed (expanded definition) | 4 566 |
5 202 |
5 634 |
| C | Total economically active = A + B | 13 853 |
14 449 |
15 024 |
| D | Total not economically active | 10 804 |
10 663 |
10 686 |
| E | Total aged 15-65 years = C + D | 24 657 |
25 112 |
25 710 |
| F | Expanded unemployment rate (including mining) = B * 100 / C | 33,0% |
36,0% |
37,5% |
* The sample size was smaller (16 000 households), and more clustered, in 1996 (20 households per combined cluster of two enumerator areas or EAs), compared with 1997 (30 000 households and 10 households per EA) and 1998 (20 000 households and 10 households per EA). Therefore statistics by industry should be treated with caution. ** The questionnaire in 1996, while differentiating between the self-employed and employers in the formal and informal sectors, did not distinguish between employees in the formal, as against those in the informal sector, but this distinction was made in 1997 and 1998, giving a more complete picture of the informal sector. The size of the sector in 1996 has therefore been estimated on the basis of the proportions of informal employers and employees in 1997 and 1998. Breakdown
of unemployment by urban and non-urban areas, gender and race Since STEE does not give breakdowns by population group, gender or area of residence of the workers, it has not been possible to include the mining sector in 1996 and 1997 when looking at breakdowns on unemployment by such demographic variables. Consequently, for this section of the report, giving breakdowns, the mining sector has been excluded from the 1998 data to make it comparable to 1996 and 1997 OHS data. The unemployment rates given here accordingly differ from those given earlier. Unemployment rates showed some changes over the time frame from 1996 to 1998, not only by urban or non-urban place of residence, but also by gender and population group, using either the official or the expanded definition of unemployment. Table C on page 8 compares unemployment rates in 1996, 1997 and 1998 by urban or non-urban place of residence, race and gender, in terms of the official definition of unemployment, while Table D compares them using the expanded definition. In both tables, the mining sector has been excluded. Table C shows that
|
TABLE C: OFFICIAL UNEMPLOYMENT RATES AMONGST MALES AND
FEMALES LIVING IN URBAN AND
NON-URBAN AREAS BY POPULATION GROUP (EXCLUDING THE MINING SECTOR), OCTOBER
1996, 1997 AND 1998
Gender, population group and type of unemployment rate (i) |
Urban male %* (ii) |
Urban female %* (iii) |
Non-urban male %* (iv) |
Non-urban female %* (v) |
Total Male %* (vi) |
Total female %* (vii) |
Total %* (viii) |
(a) All population groups: |
|||||||
| Official unemployment rate: 1996 | 15,1 | 22,2 |
20,7 |
31,7 |
16,8 |
24,8 |
20,3 |
| Official unemployment rate: 1997 | 16,8 |
24,4 |
22,4 |
32,4 |
18,4 |
26,6 |
22,0 |
| Official unemployment rate: 1998 | 20,5 | 27,2 | 28,0 |
37,0 |
22,9 |
30,2 |
26,1 |
(b) Africans: |
|||||||
Official unemployment rate: 1996 |
21,3 |
31,1 |
23,7 |
35,1 |
22,2 |
32,6 |
26,8 |
Official unemployment rate: 1997 |
23,6 |
33,5 |
24,5 |
34,5 |
23,9 |
33,8 |
28,3 |
| Official unemployment rate: 1998 | 28,6 | 37,4 | 30,7 | 39,9 | 29,5 | 38,4 | 33,4 |
(c) Coloureds: |
|||||||
Official unemployment rate: 1996 |
11,2 |
16,8 |
- ** |
- ** |
9,9 |
14,4 |
11,9 |
Official unemployment rate: 1997 |
14,7 |
19,8 |
-** |
-** |
13,1 |
18,3 |
15,3 |
| Official unemployment rate: 1998 | 15,6 | 20,8 | -** | -** | 13,4 | 18,9 | 15,8 |
(d) Indians: |
|||||||
Official unemployment rate: 1996 |
9,5 |
13,0 |
- ** |
-** |
9,1 |
13,0 |
10,8 |
Official unemployment rate: 1997 |
8,4 |
12,2 |
-** |
-** |
8,5 |
12,2 |
9,8 |
| Official unemployment rate: 1998 | 13,6 | 17,2 | -** | -** | 13,7 | 16,9 | 14,8 |
(e) Whites: |
|||||||
Official unemployment rate: 1996 |
3,7 |
4,5 |
- ** |
- ** |
3,4 |
4,3 |
3,8 |
Official unemployment rate: 1997 |
3,0 |
5,0 |
-** |
-** |
3,1 |
5,3 |
4,0 |
| Official unemployment rate: 1998 | 4,2 | 5,2 | -** | -** | 4,1 | 5,0 | 4,5 |
* Each percentage is a percentage of all people in that particular category. For example, in the block labelled (c) in column (ii) we see that in 1996, according to the official definition of unemployment, 11,2% of economically active coloured males living in urban areas were unemployed. ** Number of responses were too few for this analysis Table D shows the corresponding breakdowns for the expanded unemployment rate. |
TABLE D: EXPANDED UNEMPLOYMENT RATES AMONGST MALES AND FEMALES LIVING IN URBAN AND
NON-URBAN AREAS BY POPULATION GROUP, OCTOBER 1996, 1997 AND 1998
| Gender, population group and type of unemployment rate (i) |
Urban male %* (ii) |
Urban female %* (iii) |
Non- urban male %* (iv) |
Non- urban female %* (v) |
Total male %* (vi) |
Total female %* (vii) |
Total %* (viii) |
(a) All population groups: |
|||||||
Expanded unemployment rate: 1996 |
23,9 |
35,1 |
37,5 |
54,6 |
28,3 |
41,4 |
34,4 |
Expanded unemployment rate: 1997 |
25,2 |
37,6 |
42,0 |
59,5 |
30,7 |
45,2 |
37,4 |
Expanded unemployment rate: 1998 |
28,5 |
39,3 |
41,1 |
56,7 |
32,7 |
45,4 |
38.6 |
(b) Africans: |
|||||||
Expanded unemployment rate: 1996 |
33,2 |
46,8 |
41,8 |
58,2 |
36,7 |
51,1 |
43,8 |
Expanded unemployment rate: 1997 |
34,7 |
49,2 |
45,0 |
61,9 |
39,0 |
54,8 |
46,5 |
Expanded unemployment rate: 1998 |
38,5 |
51,2 |
44,2 |
59,6 |
40,9 |
54,9 |
47,6 |
(c) Coloureds: |
|||||||
Expanded unemployment rate: 1996 |
16,4 |
24,6 |
6,8 |
12,2 |
14,6 |
22,6 |
18,3 |
Expanded unemployment rate: 1997 |
20,1 |
27,7 |
10,1 |
20,7 |
18,4 |
26,7 |
22,1 |
Expanded unemployment rate: 1998 |
21,9 |
30,0 |
9,3 |
22,5 |
19,7 |
28,8 |
23,9 |
(d) Indians: |
|||||||
Expanded unemployment rate: 1996 |
12,3 |
19,5 |
-** |
-** |
11,8 |
20,0 |
14,9 |
Expanded unemployment rate: 1997 |
10,2 |
17,1 |
-** |
-** |
10,2 |
17,1 |
12,8 |
Expanded unemployment rate: 1998 |
16,4 |
25,3 |
-** |
-** |
16,4 |
24,9 |
19,5 |
(e) Whites: |
|||||||
Expanded unemployment rate: 1996 |
4,6 |
6,6 |
- ** |
- ** |
4,4 |
6,5 |
5,3 |
Expanded unemployment rate: 1997 |
4,3 |
8,6 |
-** |
-** |
4,3 |
9,9 |
6,2 |
Expanded unemployment rate: 1998 |
5,9 |
7,8 |
-** |
-** |
5,8 |
7,6 |
6,6 |
* Each percentage is a percentage of all people in that particular category. For example, in the block labelled (c) in column (ii) we see that in 1996, according to the expanded definition of unemployment, 16,4% of economically active coloured males living in urban areas were unemployed. ** Number of responses were too few for this analysis. Access
to infrastructure in urban and non-urban areas by population group of household head Access to infrastructure varied, not only by whether the household lived in an urban or non-urban area in October 1996, 1997 and 1998, but also by the population group of the household head. Table E on page 10 indicates these findings. Only the total numbers and percentages of households with access to infrastructure in the country as a whole, and those households headed by Africans are shown in this table, since relatively few coloured-, Indian- and white-headed households did not have access to these facilities. The table shows the following:
|
TABLE E: THE PERCENTAGE OF HOUSEHOLDS WITH ACCESS TO INFRASTRUCTURE IN URBAN
AND NON-URBAN AREAS BY POPULATION GROUP OF HOUSEHOLD HEAD
Type of infrastructure in urban and non-urban areas
(i) |
Total households with access |
Households with access to infrastructure by population group of household head |
|||||||
Total |
African |
||||||||
1996 |
1997 |
1998 |
1996 |
1997 |
1998 |
1996 |
1997 |
1998 |
|
N (000s) (ii) |
N (000s) (iii) |
N (000s) (iv) |
%* (v) |
%* (vi) |
%* (vii) |
%* (viii) |
%* (ix) |
%* (x) |
|
(a) Both urban and non-urban: Running water in dwelling or on site |
5 644 |
5 954 |
5 952 |
62,2 |
64,3 |
64,1 |
47,6 |
51,9 |
51,5 |
| Electricity for main lighting source | 5 629 |
6 028 |
6 192 |
62,1 |
65,1 |
66,7 |
47,6 |
53,5 |
55,4 |
Cell phone/telephone in dwelling |
3 257 |
3 536 |
3 905 |
35,9 | 38,2 | 42.0 | 14,1 | 17,4 | 18,4 |
| Total number of households | 9 067 | 9 258 | 9 288 | ||||||
(b) Urban: Running water in dwelling or on site |
4 721 |
4 984 |
4 866 |
86,9 |
88,4 |
87,3 |
77,8 |
81,5 |
79,0 |
Electricity for main lighting source |
4 478 |
4 747 |
4 754 |
82,5 |
84,2 |
85,2 |
70,3 |
74,8 |
75,9 |
Cell phone/telephone in dwelling |
3 028 |
3 337 |
3 581 |
55,8 | 59,2 | 64,2 | 27,4 | 32,1 | 32,4 |
| Total number of households | 5 430 | 5 636 | 5 577 | ||||||
(c) Non-urban: Running water in dwelling or on site |
923 |
970 |
1 087 |
25,4 |
26,8 |
29,3 |
20,9 |
23,4 |
25,7 |
Electricity for main lighting source |
1 150 |
1 281 |
1 438 |
31,6 |
35,4 |
38,8 |
27,6 |
32,9 |
36,3 |
Cell phone/telephone in dwelling |
238 |
199 |
323 |
6,5 | 5,5 | 8,7 | 2,5 | 3,1 | 5,3 |
| Total number of households | 3 637 |
3 622 | 3 710 | ||||||
* Each percentage is a percentage of all people in that particular category. For example, in second column of the second row of the block labelled (c) we read in column (ii) that in non-urban areas 923 000 households altogether had running water inside the dwelling, in the back yard or on the site where they lived in 1996. This means that 25,4% of all households (column v) had running water in the dwelling or on site in 1996. Type of
dwelling in which households live in urban and non-urban areas |
Figure 2:
Type of dwellings in which households live in urban and non-urban areas
October 1998
![]() |
NOTES 1. Official
and expanded unemployment rates Statistics South Africa (Stats SA) uses the following definition of unemployment as its official definition. The unemployed are those people within the economically active population, who: (a) did not work during the seven days prior to the interview, (b) want to work and are available to start work within a week of the interview, and (c) have taken active steps to look for work or to start some form of self-employment in the four weeks prior to the interview. The expanded unemployment rate excludes criterion (c). Among those who are included in the expanded but not the official definition of unemployment will be discouraged job seekers (those who said they were unemployed but had not taken active steps to find work in the four weeks prior to the interview). Stats SA reports on the situation of the unemployed using both the official and the expanded definition. In the present economic climate, there is a proportion of discouraged work seekers who face constraints, for example high travel costs and lack of transport, when seeking work. 2. Sampling
of the successive OHS surveys Altogether, six October household surveys have been conducted. The first OHS was undertaken in October 1993, but this survey is not comparable with the other later surveys, since it excluded the former Transkei, Bophuthatswana, Venda and Ciskei (TBVC states).
This release of the 1998 OHS forms part of a series of releases of household survey information. Statistics South Africa plans to do further comparisons of the data across these surveys in a variety of future publications. In its Statistical release P0317.10, it has already compared employment and unemployment situation in the country in 1994, 1995, 1996 and 1997 using the October household surveys, weighted at the time to the results of the post-enumeration survey, since the census results were not yet available. 3. Sample design for
the 1998 OHS The OHSs of 1994, 1995, 1996, 1997 and 1998 were independent cross-sectional surveys, and different samples were designed for each of them. The database of EAs, as established during the demarcation phase of Census 96, constituted the sampling frame for selecting EAs for the 1997 and 1998 OHSs. The sampling procedure in both years involved explicit stratification by province and transitional metropolitan and district councils. Independent samples of EAs were drawn for each stratum within each province. The smaller provinces were given a disproportionately larger number of EAs than the bigger provinces. Altogether, 2 000 EAs were drawn in 1998, by means of probability proportional to size principles in each stratum. The measure of size was the number of households in each EA. Interviewing for the 1998 OHS took place in these 2 000 EAs, and systematic sampling was applied to select 10 households to visit in each EA. This means that 2 000 EAs were identified as primary sampling units, and 20 000 households were visited as ultimate sampling units. The 1998 OHS, in common with 1997, was weighted to estimates of the population size based on the population census of October 1996, as adjusted by a post-enumeration survey (PES), using post-stratification by province, gender and five-year interval age groups. In 1998, relative scaling was also done, to cater for population group and urban/non-urban splits. The 1996 OHS was also weighted to the PES-adjusted count of Census 96. However, because of the smaller sample size and the more clustered sample of households that was drawn, different weighting procedures were used, as discussed in the 1996 OHS statistical release. Prior to 1996, OHS surveys were weighted to reflect estimates of population size using the 1991 population census. The data reported here for 1998 and those reported for 1997 and 1996 are therefore not presently directly comparable with the previously published OHS figures for 1994 and 1995. Statistics South Africa is in a process of re-weighting the earlier surveys to reflect estimates of the population size based on the 1996 population census. After this process is complete, comparisons between 1994, 1995, 1996 1997 and 1998 should be possible. 5. Symbols
used in the tables that follow When a zero (0) is shown in a table, there were fewer than 500 respondents, after weighting, in this category. When a dash (-) is shown there were no respondents in the category. When a single asterisk (*) is shown in the table, the sample size was too small to give reliable estimates. 6. Comparability of
results with other Stats SA data sources The Survey of total employment and earnings (STEE) collects information on formal employment in South Africa. The latest results of the STEE, i.e. for September 1999, were published in December, 1999 in statistical release P0271.These show a steady decline in formal sector employment, from 5,2 million in September 1996 to 4,8 million in September 1999. Care should be taken when comparing the results of the STEE with results of the annual OHSs, since different target populations, survey designs and methodologies are used. The OHS collects information from households, whereas the STEE collects information from formal sector businesses, excluding the following:
In the OHS, it is a household, rather than a business in a particular sector, which is sampled. In a probability sample such as the OHS, households containing people working in each of the above categories have the same chance of being selected in the proportion in which they work in a particular sector as those working in the other formal sectors that are covered in the STEE. The OHS, through its different methodology, thus covers all sectors. The urban population constituted 54,1% of the total population according to Census 96. In the weighting matrix for the 1998 OHS, the proportionate distribution of the population by urban and non-urban areas that was used was based on the population census of 1996. The urban/non-urban proportion is one of the variables used to weight successive OHSs to the population distribution of Census 96 (the others in 1998 were age, gender and population group), thereby rendering them comparable in respect of other variables. It follows that urbanisation cannot be detected from successive OHSs, but will be measured by comparing Census 96 with Census 2001. The reader is reminded that the Stats SA releases of the findings of OHS 1996 and 1997 excluded those working in the mining sector. In some of the tables given in this statistical release, however, this sector is included, since it was possible, for the first time, to draw an adequate sample of mining hostels. Stats SA has calculated 95% confidence limits for some key variables, in 1996, 1997 and 1998. These are available on request to users who require this information. A household consists of a single person or a group of people who live together for at least four nights a week, who eat together and who share resources. Population group describes the racial classification of a particular group of South African citizens. The previous government used this type of classification to divide the South African population into distinct groupings on which to base apartheid policies. For quite a different reason it remains important for Stats SA to continue to use this classification wherever possible. It clearly indicates the effects of discrimination of the past, and permits monitoring of policies to alleviate discrimination. Note that in the past, population group was based on a legal definition, but it is now based on self-perceptions and self-classification. An African/black person is someone who classifies him/herself as such. The same applies to a coloured, Indian/Asian or white person. A hostel is a communal living quarter for workers, provided by a public organisation such as a local authority, or a private organisation, such as a mining company. These were residential dormitories established for migrant workers during the apartheid era, and they continue to house people working in certain industries, such as the mining industry. Institutions are communal temporary, semi-permanent or permanent living arrangements for people in special circumstances, for example prisons, police cells, school boarding facilities, homes for the aged or the disabled, hotels and hospitals. The working age population includes all those aged between 15 and 65 years. The economically active population consists of both those who are employed and those who are unemployed. The employed are those who performed work for pay, profit or family gain in the seven days prior to the household survey interview, or who were absent from work during these seven days, but they did have some form of paid work during this time. The official unemployment rate: see Note 1. The expanded unemployment rate: see Note 1. The people who are out of the labour market or who are not economically active are those who are not available for work. This category includes full-time scholars and students, full-time homemakers, those who are retired, and those who are unable or unwilling to work. The formal sector includes all businesses which are registered for tax purposes, and which have a VAT number. The informal sector consists of those businesses that are unregistered and do not have a VAT number. They are generally small in nature, and are seldom run from business premises. Instead, they are run from homes, street pavements or other informal arrangements. Primary industries include agriculture, forestry and fishing, and mining and quarrying. Secondary industries include manufacturing, electricity and other utilities, and construction. Tertiary industries include trade, transport, financial and business services, and social, personal and community services. Type of employment refers to whether or not the person is self-employed, or works as an employee, or both, or else works as a domestic worker in a household. Location refers to whether the person lives in an urban or non-urban area.
Workers include the self-employed, employers and employees. Stats SA publishes approximately 300 different releases per year. It is not economically viable to produce them in more than one of South Africas eleven official languages. Since the releases are used extensively, not only locally, but also by international economic and social-scientific communities, Stats SA releases are published in English only. Stats SA has copyright on this publication. You are, however, free to use the information in it as you wish, provided that you acknowledge Stats SA as the source of the basic data wherever you process, apply, utilise, publish or distribute the data: and also that you specify that the relevant application and analyses (where applicable) result from your own processing of the data. Stats SA products A complete set of Stats SA publications is available at Stats SA library and the following libraries: National Library of South Africa, Pretoria Library of Parliament, Cape Town National Library of South Africa, Cape Town division Bloemfontein Public Library Natal Society Library, Pietermaritzburg Johannesburg Public Library Stats SA also provides a subscription service. Electronic services A large range of data are available via on-line services, diskette and computer printouts. For more details about our electronic data services, contact (012) 310 8095. You can visit us on the Internet at: http://www.statssa.gov.za Enquiries Telephone number: (012) 310 8095/390/351 October household survey, 1998 The data and metadata set from the October household survey, 1998 is available on CD-ROM at the following prices:
|
1 POPULATION IN URBAN AND NON-URBAN AREAS 1.1 BY PROVINCE, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
PROVINCES |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
42 279 |
20 405 |
21 874 |
32 832 |
15 787 |
17 044 |
3 804 |
1 846 |
1 958 |
1 077 |
529 |
548 |
4 521 |
2 213 |
2 307 |
URBAN |
22 864 |
11 242 |
11 622 |
14 309 |
7 065 |
7 244 |
3 206 |
1 551 |
1 655 |
1 051 |
514 |
537 |
4 260 |
2 087 |
2 172 |
NON-URBAN |
19 415 |
9 163 |
10 252 |
18 522 |
8 723 |
9 800 |
598 |
296 |
303 |
26 |
15 |
11 |
261 |
126 |
135 |
WESTERN CAPE |
|||||||||||||||
TOTAL |
4 089 |
2 007 |
2 082 |
891 |
453 |
438 |
2 295 |
1 116 |
1 179 |
44 |
22 |
22 |
853 |
413 |
439 |
URBAN |
3 697 |
1 810 |
1 887 |
864 |
438 |
426 |
1 944 |
940 |
1 003 |
44 |
22 |
22 |
838 |
406 |
432 |
NON-URBAN |
393 |
197 |
196 |
27 |
14 |
13 |
351 |
176 |
176 |
- |
- |
- |
14 |
* |
* |
EASTERN CAPE |
|||||||||||||||
TOTAL |
6 595 |
3 051 |
3 545 |
5 739 |
2 634 |
3 105 |
490 |
238 |
252 |
17 |
* |
11 |
338 |
165 |
173 |
URBAN |
2 233 |
1 032 |
1 201 |
1 431 |
643 |
788 |
449 |
216 |
232 |
17 |
* |
11 |
324 |
159 |
165 |
NON-URBAN |
4 363 |
2 019 |
2 344 |
4 308 |
1 991 |
2 316 |
41 |
22 |
20 |
- |
- |
- |
14 |
* |
* |
NORTHERN CAPE |
|||||||||||||||
TOTAL |
868 |
428 |
441 |
296 |
148 |
148 |
446 |
217 |
229 |
* |
* |
* |
112 |
55 |
58 |
URBAN |
603 |
291 |
313 |
222 |
106 |
116 |
280 |
135 |
144 |
* |
* |
* |
95 |
45 |
50 |
NON-URBAN |
265 |
137 |
128 |
74 |
42 |
32 |
166 |
81 |
85 |
- |
- |
- |
18 |
* |
* |
FREE STATE |
|||||||||||||||
TOTAL |
2 741 |
1 355 |
1 386 |
2 342 |
1 160 |
1 182 |
77 |
38 |
38 |
* |
* |
* |
318 |
154 |
164 |
URBAN |
1 849 |
877 |
973 |
1 507 |
710 |
797 |
64 |
34 |
31 |
* |
* |
* |
274 |
130 |
144 |
NON-URBAN |
892 |
479 |
413 |
835 |
450 |
385 |
13 |
* |
* |
- |
- |
- |
44 |
23 |
20 |
KWAZULU-NATAL |
|||||||||||||||
TOTAL |
8 746 |
4 120 |
4 626 |
7 236 |
3 383 |
3 853 |
122 |
59 |
64 |
817 |
397 |
419 |
567 |
278 |
289 |
URBAN |
4 145 |
1 994 |
2 150 |
2 673 |
1 276 |
1 397 |
114 |
55 |
59 |
797 |
388 |
409 |
557 |
273 |
284 |
NON-URBAN |
4 601 |
2 126 |
2 476 |
4 563 |
2 107 |
2 456 |
* |
* |
* |
20 |
10 |
10 |
11 |
* |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER AND UNSPECIFIED POPULATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
1 POPULATION IN URBAN AND NON-URBAN AREAS 1.1 BY PROVINCE, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
PROVINCES |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
NORTH WEST |
|||||||||||||||
TOTAL |
3 509 |
1 732 |
1 777 |
3 225 |
1 591 |
1 634 |
48 |
24 |
25 |
10 |
* |
* |
225 |
112 |
113 |
URBAN |
1 182 |
598 |
583 |
940 |
477 |
463 |
37 |
19 |
18 |
10 |
* |
* |
194 |
97 |
98 |
NON-URBAN |
2 327 |
1 133 |
1 193 |
2 285 |
1 114 |
1 171 |
11 |
* |
* |
30 |
15 |
16 |
|||
GAUTENG |
|||||||||||||||
TOTAL |
7 609 |
3 897 |
3 712 |
5 408 |
2 818 |
2 590 |
291 |
141 |
151 |
168 |
85 |
83 |
1 731 |
847 |
884 |
URBAN |
7 404 |
3 783 |
3 621 |
5 252 |
2 722 |
2 529 |
288 |
138 |
150 |
168 |
85 |
83 |
1 685 |
830 |
855 |
NON-URBAN |
205 |
114 |
91 |
156 |
95 |
61 |
* |
* |
* |
45 |
17 |
29 |
|||
MPUMALANGA |
|||||||||||||||
TOTAL |
2 927 |
1 429 |
1 498 |
2 638 |
1 281 |
1 357 |
21 |
* |
11 |
* |
* |
* |
258 |
130 |
128 |
URBAN |
1 138 |
561 |
578 |
900 |
440 |
460 |
17 |
* |
* |
* |
* |
* |
214 |
109 |
106 |
NON-URBAN |
1 788 |
868 |
920 |
1 738 |
842 |
896 |
* |
* |
* |
* |
* |
- |
43 |
21 |
22 |
NORTHERN PROVINCE |
|||||||||||||||
TOTAL |
5 195 |
2 386 |
2 809 |
5 057 |
2 320 |
2 737 |
13 |
* |
* |
* |
* |
* |
119 |
60 |
59 |
URBAN |
614 |
297 |
317 |
521 |
253 |
268 |
13 |
* |
* |
* |
* |
* |
78 |
39 |
39 |
NON-URBAN |
4 581 |
2 090 |
2 491 |
4 537 |
2 067 |
2 469 |
- |
- |
- |
* |
* |
* |
42 |
21 |
20 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER AND UNSPECIFIED POPULATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
1 POPULATION IN URBAN AND NON-URBAN AREAS 1.2 BY AGE GROUP, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
AGE |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
GROUP |
|||||||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
42 279 |
20 405 |
21 874 |
32 832 |
15 787 |
17 044 |
3 804 |
1 846 |
1 958 |
1 077 |
529 |
548 |
4 521 |
2 213 |
2 307 |
0-4 |
4 329 |
2 164 |
2 165 |
3 584 |
1 784 |
1 801 |
408 |
212 |
196 |
79 |
40 |
40 |
255 |
128 |
126 |
5-9 |
5 251 |
2 646 |
2 605 |
4 371 |
2 194 |
2 177 |
440 |
222 |
219 |
108 |
58 |
49 |
329 |
171 |
158 |
10-14 |
5 112 |
2 549 |
2 562 |
4 157 |
2 061 |
2 096 |
444 |
229 |
214 |
116 |
60 |
56 |
392 |
199 |
194 |
15-19 |
4 414 |
2 172 |
2 242 |
3 580 |
1 751 |
1 829 |
365 |
180 |
185 |
105 |
51 |
54 |
359 |
186 |
173 |
20-24 |
4 307 |
2 075 |
2 231 |
3 447 |
1 649 |
1 798 |
382 |
183 |
199 |
111 |
58 |
53 |
364 |
182 |
182 |
25-29 |
3 591 |
1 741 |
1 849 |
2 775 |
1 345 |
1 430 |
355 |
167 |
188 |
92 |
44 |
48 |
363 |
181 |
182 |
30-34 |
3 231 |
1 543 |
1 689 |
2 458 |
1 171 |
1 288 |
330 |
156 |
174 |
91 |
40 |
50 |
348 |
172 |
176 |
35-39 |
2 764 |
1 356 |
1 408 |
2 048 |
1 008 |
1 040 |
266 |
130 |
135 |
82 |
38 |
45 |
364 |
178 |
186 |
40-44 |
2 173 |
1 052 |
1 122 |
1 551 |
749 |
802 |
213 |
100 |
112 |
76 |
37 |
39 |
331 |
163 |
168 |
45-49 |
1 692 |
829 |
863 |
1 171 |
575 |
596 |
161 |
74 |
86 |
64 |
33 |
32 |
294 |
146 |
148 |
50-54 |
1 271 |
602 |
669 |
842 |
396 |
446 |
123 |
55 |
68 |
50 |
24 |
26 |
255 |
127 |
127 |
55-59 |
1 126 |
505 |
621 |
769 |
332 |
437 |
101 |
46 |
55 |
37 |
18 |
19 |
216 |
106 |
109 |
60-64 |
946 |
359 |
587 |
660 |
229 |
431 |
82 |
36 |
46 |
24 |
10 |
13 |
179 |
83 |
96 |
65+ |
2 074 |
812 |
1 262 |
1 419 |
545 |
874 |
135 |
55 |
81 |
42 |
18 |
24 |
473 |
190 |
282 |
URBAN |
|||||||||||||||
TOTAL |
22 864 |
11 242 |
11 622 |
14 309 |
7 065 |
7 244 |
3 206 |
1 551 |
1 655 |
1 051 |
514 |
537 |
4 260 |
2 087 |
2 172 |
0-4 |
2 006 |
1 006 |
1 000 |
1 358 |
677 |
681 |
331 |
172 |
158 |
75 |
36 |
40 |
240 |
121 |
119 |
5-9 |
2 297 |
1 165 |
1 131 |
1 518 |
764 |
754 |
358 |
180 |
178 |
105 |
56 |
48 |
314 |
164 |
150 |
10-14 |
2 297 |
1 152 |
1 145 |
1 441 |
710 |
732 |
372 |
193 |
180 |
112 |
58 |
54 |
369 |
191 |
178 |
15-19 |
2 156 |
1 069 |
1 087 |
1 387 |
679 |
708 |
317 |
158 |
158 |
103 |
50 |
53 |
345 |
178 |
167 |
20-24 |
2 467 |
1 220 |
1 247 |
1 671 |
826 |
845 |
336 |
162 |
174 |
109 |
57 |
52 |
348 |
172 |
176 |
25-29 |
2 267 |
1 116 |
1 151 |
1 535 |
762 |
773 |
293 |
136 |
157 |
92 |
44 |
48 |
342 |
170 |
172 |
30-34 |
2 056 |
1 014 |
1 042 |
1 366 |
680 |
686 |
274 |
129 |
145 |
86 |
39 |
47 |
327 |
165 |
163 |
35-39 |
1 814 |
921 |
893 |
1 159 |
606 |
554 |
224 |
109 |
116 |
81 |
37 |
44 |
346 |
168 |
179 |
40-44 |
1 390 |
703 |
687 |
819 |
425 |
395 |
181 |
85 |
96 |
76 |
37 |
39 |
312 |
155 |
157 |
45-49 |
1 067 |
541 |
526 |
593 |
308 |
285 |
138 |
64 |
74 |
62 |
32 |
30 |
273 |
136 |
137 |
50-54 |
812 |
395 |
417 |
417 |
205 |
212 |
106 |
47 |
59 |
49 |
23 |
26 |
239 |
120 |
119 |
55-59 |
665 |
305 |
360 |
340 |
151 |
189 |
85 |
36 |
49 |
36 |
17 |
19 |
200 |
98 |
102 |
60-64 |
524 |
219 |
305 |
263 |
101 |
162 |
73 |
32 |
41 |
23 |
10 |
13 |
163 |
75 |
88 |
65+ |
1 048 |
416 |
631 |
442 |
172 |
270 |
119 |
48 |
71 |
42 |
18 |
24 |
440 |
175 |
266 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
1 POPULATION IN URBAN AND NON-URBAN AREAS 1.2 BY AGE GROUP, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
AGE |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
GROUP |
|||||||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
NON-URBAN |
|||||||||||||||
TOTAL |
19 415 |
9 163 |
10 252 |
18 522 |
8 723 |
9 800 |
598 |
296 |
303 |
26 |
15 |
11 |
261 |
126 |
135 |
0-4 |
2 323 |
1 158 |
1 165 |
2 227 |
1 107 |
1 120 |
78 |
40 |
38 |
* |
* |
- |
14 |
* |
* |
5-9 |
2 954 |
1 480 |
1 474 |
2 853 |
1 429 |
1 424 |
82 |
42 |
41 |
* |
* |
* |
15 |
* |
* |
10-14 |
2 815 |
1 398 |
1 417 |
2 715 |
1 351 |
1 364 |
71 |
37 |
34 |
* |
* |
* |
23 |
* |
16 |
15-19 |
2 258 |
1 103 |
1 155 |
2 193 |
1 072 |
1 121 |
49 |
22 |
27 |
* |
* |
* |
13 |
* |
* |
20-24 |
1 840 |
855 |
985 |
1 776 |
823 |
953 |
45 |
21 |
25 |
* |
* |
* |
16 |
* |
* |
25-29 |
1 324 |
625 |
699 |
1 240 |
582 |
658 |
62 |
31 |
31 |
- |
- |
- |
21 |
11 |
* |
30-34 |
1 175 |
528 |
647 |
1 093 |
491 |
602 |
56 |
27 |
29 |
* |
* |
* |
20 |
* |
13 |
35-39 |
950 |
435 |
515 |
889 |
403 |
487 |
41 |
22 |
20 |
* |
* |
* |
18 |
* |
* |
40-44 |
783 |
348 |
435 |
731 |
324 |
407 |
32 |
15 |
16 |
* |
* |
* |
19 |
* |
11 |
45-49 |
625 |
288 |
337 |
578 |
267 |
312 |
23 |
10 |
12 |
* |
* |
* |
21 |
* |
11 |
50-54 |
459 |
207 |
252 |
424 |
191 |
233 |
18 |
8 |
10 |
* |
* |
- |
16 |
* |
* |
55-59 |
461 |
200 |
261 |
429 |
181 |
248 |
15 |
10 |
5 |
* |
* |
- |
16 |
* |
* |
60-64 |
422 |
141 |
282 |
397 |
128 |
269 |
* |
* |
5 |
* |
* |
- |
16 |
* |
* |
65+ |
1026 |
395 |
631 |
977 |
373 |
604 |
16 |
* |
10 |
- |
- |
- |
32 |
16 |
17 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.1 TOTAL (1000) |
||||||||||||||||||
| PROVINCES |
TOTAL |
TOTAL |
MALE |
FEMALE |
||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
||
RSA |
||||||||||||||||||
TOTAL |
25 710 |
13 157 |
12 553 |
9 390 |
3 163 |
25.2 |
12 312 |
5 117 |
7 195 |
5 647 |
1 548 |
21.5 |
13 397 |
8 040 |
5 358 |
3 743 |
1 614 |
30.1 |
URBAN |
15 326 |
6 694 |
8 632 |
6 669 |
1 962 |
22.7 |
7 550 |
2 623 |
4 927 |
3 969 |
957 |
19.4 |
7 776 |
4 071 |
3 705 |
2 700 |
1 005 |
27.1 |
NON-URBAN |
10 384 |
6 463 |
3 921 |
2 721 |
1 200 |
30.6 |
4 763 |
2 494 |
2 268 |
1 677 |
591 |
26.1 |
5 621 |
3 968 |
1 653 |
1 043 |
609 |
36.9 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
2 686 |
1 117 |
1 569 |
1 357 |
212 |
13.5 |
1 316 |
396 |
919 |
817 |
102 |
11.1 |
1 370 |
720 |
650 |
540 |
110 |
16.9 |
URBAN |
2 453 |
1 049 |
1 404 |
1 198 |
206 |
14.7 |
1 200 |
378 |
822 |
722 |
100 |
12.2 |
1 254 |
671 |
582 |
476 |
106 |
18.2 |
NON-URBAN |
232 |
68 |
165 |
159 |
* |
3.5 |
116 |
19 |
97 |
95 |
* |
2.1 |
116 |
49 |
67 |
64 |
* |
5.6 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
3 589 |
2 331 |
1 258 |
794 |
465 |
36.9 |
1 572 |
927 |
645 |
427 |
218 |
33.8 |
2 017 |
1 404 |
613 |
366 |
247 |
40.2 |
URBAN |
1 465 |
733 |
732 |
526 |
206 |
28.1 |
667 |
296 |
370 |
280 |
90 |
24.3 |
799 |
437 |
362 |
246 |
116 |
32.1 |
NON-URBAN |
2 124 |
1 597 |
526 |
268 |
259 |
49.2 |
906 |
630 |
275 |
147 |
128 |
46.6 |
1 218 |
967 |
251 |
120 |
131 |
52.0 |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
536 |
259 |
276 |
227 |
50 |
17.9 |
263 |
100 |
162 |
141 |
22 |
13.3 |
273 |
159 |
114 |
86 |
28 |
24.6 |
URBAN |
370 |
196 |
174 |
135 |
38 |
22.2 |
177 |
80 |
97 |
79 |
18 |
18.5 |
193 |
116 |
77 |
56 |
21 |
26.8 |
NON-URBAN |
166 |
63 |
103 |
92 |
11 |
10.8 |
86 |
20 |
66 |
62 |
* |
5.7 |
80 |
43 |
37 |
30 |
* |
20.0 |
FREE STATE |
||||||||||||||||||
TOTAL |
1 759 |
832 |
927 |
729 |
198 |
21.3 |
877 |
330 |
547 |
460 |
87 |
15.9 |
882 |
502 |
380 |
269 |
111 |
29.2 |
URBAN |
1 206 |
600 |
607 |
442 |
165 |
27.2 |
571 |
242 |
328 |
251 |
77 |
23.4 |
636 |
357 |
278 |
190 |
88 |
31.7 |
NON-URBAN |
553 |
232 |
321 |
288 |
33 |
10.2 |
306 |
88 |
219 |
209 |
* |
4.6 |
246 |
144 |
102 |
79 |
23 |
22.4 |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
5 202 |
2 849 |
2 353 |
1 712 |
641 |
27.2 |
2 391 |
1 080 |
1 311 |
988 |
323 |
24.7 |
2 811 |
1 769 |
1 041 |
724 |
317 |
30.5 |
URBAN |
2 713 |
1 244 |
1 468 |
1 114 |
355 |
24.2 |
1 279 |
459 |
820 |
639 |
181 |
22.1 |
1 434 |
785 |
648 |
475 |
173 |
26.7 |
NON-URBAN |
2 489 |
1 605 |
884 |
598 |
286 |
32.4 |
1 113 |
621 |
491 |
349 |
142 |
28.9 |
1 377 |
984 |
393 |
249 |
144 |
36.7 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.1 TOTAL (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
2 146 |
1 141 |
1 004 |
738 |
266 |
26.5 |
1 064 |
456 |
608 |
475 |
133 |
21.8 |
1 082 |
685 |
396 |
262 |
134 |
33.8 |
URBAN |
777 |
374 |
403 |
320 |
82 |
20.4 |
392 |
157 |
235 |
197 |
38 |
16.3 |
384 |
217 |
168 |
124 |
44 |
26.2 |
NON-URBAN |
1 369 |
767 |
602 |
417 |
184 |
30.6 |
672 |
299 |
373 |
279 |
94 |
25.3 |
697 |
469 |
229 |
139 |
90 |
39.3 |
GAUTENG |
||||||||||||||||||
TOTAL |
5 369 |
2 061 |
3 308 |
2 544 |
764 |
23.1 |
2 806 |
837 |
1 969 |
1 574 |
396 |
20.1 |
2 562 |
1 224 |
1 338 |
970 |
368 |
27.5 |
URBAN |
5 228 |
2 028 |
3 200 |
2 452 |
748 |
23.4 |
2 723 |
823 |
1 899 |
1 514 |
385 |
20.3 |
2 505 |
1 204 |
1 301 |
938 |
363 |
27.9 |
NON-URBAN |
141 |
33 |
107 |
92 |
16 |
14.6 |
84 |
14 |
70 |
59 |
11 |
15.2 |
57 |
20 |
38 |
32 |
* |
13.5 |
MPUMALANGA |
||||||||||||||||||
TOTAL |
1 735 |
839 |
896 |
672 |
224 |
25.0 |
848 |
331 |
517 |
416 |
101 |
19.6 |
887 |
508 |
379 |
256 |
123 |
32.4 |
URBAN |
752 |
320 |
432 |
323 |
109 |
25.3 |
374 |
131 |
243 |
195 |
48 |
19.6 |
379 |
189 |
189 |
128 |
62 |
32.6 |
NON-URBAN |
982 |
518 |
464 |
349 |
115 |
24.8 |
474 |
200 |
274 |
220 |
54 |
19.6 |
508 |
318 |
190 |
129 |
61 |
32.3 |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
2 689 |
1 728 |
961 |
618 |
343 |
35.7 |
1 176 |
660 |
516 |
349 |
167 |
32.3 |
1 514 |
1 068 |
445 |
269 |
177 |
39.7 |
URBAN |
362 |
150 |
212 |
159 |
52 |
24.7 |
168 |
56 |
112 |
92 |
20 |
17.8 |
193 |
94 |
99 |
67 |
32 |
32.5 |
NON-URBAN |
2 328 |
1 578 |
750 |
459 |
291 |
38.8 |
1007 |
604 |
403 |
257 |
146 |
36.3 |
1 320 |
974 |
346 |
202 |
144 |
41.7 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.3 COLOUREDS (1000) |
||||||||||||||||||
| PROVINCES |
TOTAL |
MALE |
FEMALE |
|||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
2 396 |
999 |
1 397 |
1 177 |
220 |
15.8 |
1 137 |
359 |
778 |
675 |
103 |
13.3 |
1 259 |
641 |
619 |
502 |
117 |
18.9 |
URBAN |
2 042 |
881 |
1 161 |
954 |
207 |
17.8 |
965 |
323 |
642 |
542 |
99 |
15.5 |
1 077 |
558 |
520 |
412 |
108 |
20.8 |
NON-URBAN |
354 |
118 |
235 |
222 |
13 |
5.5 |
172 |
36 |
136 |
132 |
* |
3.0 |
182 |
83 |
99 |
90 |
* |
9.0 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
1456 |
561 |
895 |
771 |
124 |
13.8 |
699 |
185 |
514 |
456 |
58 |
11.3 |
757 |
376 |
380 |
315 |
66 |
17.2 |
URBAN |
1 252 |
504 |
748 |
629 |
119 |
15.9 |
599 |
171 |
428 |
372 |
56 |
13.1 |
653 |
333 |
319 |
257 |
63 |
19.6 |
NON-URBAN |
204 |
58 |
147 |
142 |
* |
3.1 |
100 |
15 |
86 |
84 |
* |
2.0 |
104 |
43 |
61 |
58 |
* |
4.7 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
303 |
144 |
159 |
127 |
31 |
19.8 |
146 |
63 |
83 |
67 |
16 |
19.7 |
157 |
81 |
76 |
61 |
15 |
19.8 |
URBAN |
277 |
132 |
145 |
114 |
31 |
21.2 |
133 |
58 |
75 |
59 |
16 |
21.6 |
143 |
74 |
70 |
55 |
14 |
20.7 |
NON-URBAN |
26 |
12 |
14 |
13 |
* |
5.6 |
13 |
* |
* |
* |
- |
2.9 |
13 |
* |
* |
* |
* |
9.2 |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
264 |
135 |
130 |
109 |
21 |
16.1 |
126 |
53 |
74 |
64 |
* |
12.6 |
138 |
82 |
56 |
44 |
12 |
20.7 |
URBAN |
163 |
92 |
71 |
57 |
14 |
19.8 |
78 |
38 |
40 |
33 |
* |
18.4 |
85 |
54 |
31 |
24 |
* |
21.7 |
NON-URBAN |
101 |
43 |
59 |
52 |
* |
11.7 |
48 |
15 |
33 |
31 |
* |
5.6 |
53 |
28 |
25 |
20 |
* |
19.6 |
FREE STATE |
||||||||||||||||||
TOTAL |
51 |
24 |
27 |
22 |
* |
18.1 |
27 |
11 |
15 |
13 |
* |
16.3 |
24 |
13 |
12 |
* |
* |
20.6 |
URBAN |
45 |
23 |
22 |
17 |
* |
22.5 |
23 |
11 |
12 |
* |
* |
21.1 |
22 |
12 |
10 |
* |
* |
24.2 |
NON-URBAN |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
80 |
33 |
47 |
42 |
* |
11.0 |
34 |
12 |
21 |
18 |
* |
15.7 |
46 |
21 |
25 |
24 |
* |
7.0 |
URBAN |
76 |
33 |
43 |
39 |
* |
10.6 |
32 |
12 |
20 |
17 |
* |
16.7 |
44 |
21 |
23 |
22 |
* |
5.3 |
NON-URBAN |
* |
* |
* |
* |
* |
15.9 |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
* |
26.2 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.3 COLOUREDS (1000) |
||||||||||||||||||
| PROVINCES |
TOTAL |
MALE |
FEMALE |
|||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
| NORTH WEST |
||||||||||||||||||
TOTAL |
33 |
14 |
19 |
14 |
* |
23.0 |
15 |
* |
* |
* |
* |
17.1 |
18 |
* |
* |
* |
* |
29.8 |
URBAN |
26 |
12 |
15 |
10 |
* |
29.1 |
13 |
* |
* |
* |
* |
23.5 |
14 |
* |
* |
* |
* |
34.4 |
NON-URBAN |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
|
GAUTENG |
||||||||||||||||||
TOTAL |
190 |
80 |
110 |
82 |
28 |
25.7 |
82 |
26 |
55 |
44 |
11 |
20.4 |
108 |
53 |
55 |
38 |
17 |
31.1 |
URBAN |
187 |
80 |
108 |
79 |
28 |
26.3 |
81 |
26 |
54 |
43 |
11 |
20.8 |
107 |
53 |
54 |
37 |
17 |
31.9 |
NON-URBAN |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
|
MPUMALANGA |
||||||||||||||||||
TOTAL |
13 |
* |
* |
* |
* |
9.5 |
* |
* |
* |
* |
- |
10.6 |
* |
* |
* |
* |
- |
8.3 |
URBAN |
* |
* |
* |
* |
* |
7.0 |
* |
* |
* |
* |
- |
4.8 |
* |
* |
* |
* |
- |
9.1 |
NON-URBAN |
* |
* |
* |
* |
- |
26.5 |
* |
* |
* |
- |
- |
40.5 |
* |
* |
- |
- |
- |
- |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
* |
* |
* |
* |
* |
33.3 |
* |
* |
* |
* |
* |
49.8 |
* |
* |
* |
* |
* |
25.0 |
URBAN |
* |
* |
* |
* |
* |
33.3 |
* |
* |
* |
* |
* |
49.8 |
* |
* |
* |
* |
* |
25.0 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY PROVINCE AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.4 INDIANS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
738 |
336 |
402 |
342 |
59 |
14.7 |
355 |
94 |
261 |
226 |
36 |
13.6 |
383 |
242 |
140 |
117 |
24 |
16.9 |
URBAN |
723 |
330 |
393 |
334 |
58 |
14.8 |
348 |
93 |
255 |
220 |
35 |
13.6 |
375 |
237 |
138 |
114 |
24 |
17.2 |
NON-URBAN |
15 |
* |
* |
* |
* |
10.2 |
* |
* |
* |
* |
* |
14.3 |
* |
* |
* |
* |
- |
- |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
29 |
14 |
15 |
13 |
* |
10.8 |
14 |
* |
* |
* |
* |
7.7 |
15 |
* |
* |
* |
* |
14.2 |
URBAN |
29 |
14 |
15 |
13 |
* |
10.8 |
14 |
* |
* |
* |
* |
7.7 |
15 |
* |
* |
* |
* |
14.2 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
12 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
URBAN |
12 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
560 |
253 |
307 |
255 |
53 |
17.1 |
269 |
69 |
200 |
169 |
31 |
15.5 |
291 |
183 |
107 |
86 |
22 |
20.1 |
URBAN |
548 |
248 |
300 |
249 |
52 |
17.2 |
264 |
69 |
195 |
165 |
30 |
15.5 |
284 |
179 |
106 |
84 |
22 |
20.4 |
NON-URBAN |
12 |
* |
* |
* |
* |
13.2 |
* |
- |
* |
* |
- |
17.6 |
* |
* |
* |
* |
- |
- |
GAUTENG |
||||||||||||||||||
TOTAL |
117 |
56 |
61 |
56 |
5 |
8.4 |
57 |
15 |
42 |
38 |
4 |
9.4 |
59 |
41 |
19 |
18 |
* |
6.1 |
URBAN |
117 |
56 |
61 |
56 |
5 |
8.4 |
57 |
15 |
42 |
38 |
4 |
9.4 |
59 |
41 |
19 |
18 |
* |
6.1 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.5 WHITES (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
3115 |
1091 |
2024 |
1935 |
89 |
4.4 |
1546 |
387 |
1159 |
1113 |
46 |
3.9 |
1569 |
703 |
865 |
823 |
43 |
5.0 |
URBAN |
2 935 |
1 028 |
1 907 |
1 822 |
85 |
4.5 |
1 454 |
368 |
1 086 |
1 043 |
43 |
4.0 |
1 480 |
659 |
821 |
779 |
42 |
5.1 |
NON-URBAN |
180 |
63 |
117 |
113 |
* |
2.8 |
92 |
19 |
73 |
70 |
* |
3.6 |
88 |
44 |
44 |
44 |
* |
1.6 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
584 |
248 |
336 |
327 |
* |
2.6 |
286 |
89 |
197 |
191 |
* |
2.7 |
298 |
159 |
139 |
136 |
* |
2.6 |
URBAN |
574 |
245 |
329 |
321 |
* |
2.5 |
280 |
88 |
192 |
187 |
* |
2.7 |
293 |
157 |
137 |
134 |
* |
2.1 |
NON-URBAN |
* |
* |
* |
* |
* |
10.3 |
* |
* |
* |
* |
- |
- |
* |
* |
* |
* |
* |
27.6 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
228 |
94 |
134 |
126 |
* |
6.2 |
113 |
30 |
84 |
77 |
* |
8.1 |
115 |
64 |
50 |
49 |
* |
2.9 |
URBAN |
217 |
90 |
127 |
119 |
* |
6.5 |
109 |
29 |
80 |
73 |
* |
8.5 |
108 |
60 |
48 |
46 |
* |
3.1 |
NON-URBAN |
11 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
74 |
27 |
47 |
46 |
* |
3.3 |
36 |
* |
27 |
27 |
* |
1.9 |
38 |
18 |
20 |
19 |
* |
5.1 |
URBAN |
63 |
22 |
40 |
39 |
* |
3.9 |
30 |
* |
21 |
21 |
* |
2.4 |
33 |
14 |
19 |
18 |
* |
5.4 |
NON-URBAN |
11 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
FREE STATE |
||||||||||||||||||
TOTAL |
215 |
75 |
141 |
139 |
* |
1.5 |
105 |
24 |
82 |
81 |
* |
1.3 |
110 |
51 |
59 |
58 |
* |
1.8 |
URBAN |
182 |
65 |
117 |
115 |
* |
1.8 |
87 |
21 |
66 |
65 |
* |
1.6 |
95 |
44 |
51 |
50 |
* |
2.1 |
NON-URBAN |
33 |
* |
23 |
23 |
- |
- |
18 |
* |
16 |
16 |
- |
- |
15 |
* |
* |
* |
- |
- |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
386 |
128 |
258 |
253 |
* |
2.2 |
192 |
49 |
143 |
140 |
* |
1.8 |
194 |
79 |
115 |
112 |
- |
2.7 |
URBAN |
379 |
126 |
253 |
247 |
* |
2.2 |
188 |
49 |
139 |
137 |
* |
1.8 |
190 |
77 |
113 |
110 |
- |
2.7 |
NON-URBAN |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.1 USING THE OFFICIAL DEFINITION 2.1.5 WHITES (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
153 |
58 |
95 |
92 |
* |
3.1 |
78 |
18 |
60 |
58 |
* |
3.4 |
75 |
40 |
35 |
34 |
* |
2.6 |
URBAN |
131 |
48 |
83 |
80 |
* |
3.5 |
67 |
15 |
52 |
50 |
* |
3.9 |
64 |
33 |
31 |
30 |
* |
3.0 |
NON-URBAN |
22 |
10 |
12 |
12 |
- |
- |
11 |
* |
* |
* |
- |
- |
11 |
* |
* |
* |
- |
- |
GAUTENG |
||||||||||||||||||
TOTAL |
1 219 |
372 |
847 |
797 |
50 |
5.9 |
605 |
138 |
468 |
446 |
22 |
4.7 |
613 |
234 |
379 |
351 |
28 |
7.5 |
URBAN |
1 194 |
362 |
832 |
783 |
48 |
5.8 |
594 |
133 |
461 |
440 |
20 |
4.4 |
600 |
228 |
371 |
343 |
28 |
7.6 |
NON-URBAN |
25 |
10 |
15 |
14 |
* |
10.1 |
11 |
* |
* |
* |
* |
21.4 |
14 |
* |
* |
* |
- |
- |
MPUMALANGA |
||||||||||||||||||
TOTAL |
178 |
59 |
118 |
114 |
* |
3.6 |
91 |
21 |
70 |
68 |
* |
2.6 |
87 |
38 |
48 |
46 |
* |
5.2 |
URBAN |
149 |
54 |
94 |
90 |
* |
4.6 |
75 |
19 |
56 |
54 |
* |
3.2 |
73 |
35 |
38 |
36 |
* |
6.5 |
NON-URBAN |
29 |
* |
24 |
24 |
- |
- |
16 |
* |
14 |
14 |
- |
- |
14 |
* |
* |
* |
- |
- |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
78 |
31 |
48 |
43 |
* |
10.4 |
39 |
* |
29 |
25 |
* |
13.9 |
39 |
21 |
19 |
18 |
* |
5.0 |
URBAN |
47 |
16 |
31 |
27 |
* |
12.6 |
24 |
* |
19 |
16 |
* |
15.8 |
23 |
11 |
12 |
11 |
* |
7.6 |
NON-URBAN |
31 |
15 |
16 |
15 |
* |
6.4 |
15 |
* |
* |
* |
* |
10.4 |
16 |
* |
* |
* |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.1 TOTAL (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
25 710 |
10 686 |
15 024 |
9 390 |
5 634 |
37.5 |
12 312 |
4 132 |
8 181 |
5 647 |
2 534 |
31.0 |
13 397 |
6 554 |
6 843 |
3 743 |
3 100 |
45.3 |
URBAN |
15 326 |
5 442 |
9 884 |
6 669 |
3 215 |
32.5 |
7 550 |
2 105 |
5 445 |
3 969 |
1 475 |
27.1 |
7 776 |
3 337 |
4 439 |
2 700 |
1 739 |
39.2 |
NON-URBAN |
10 384 |
5 244 |
5 139 |
2 721 |
2 419 |
47.1 |
4 763 |
2 027 |
2 736 |
1 677 |
1 059 |
38.7 |
5 621 |
3 218 |
2 403 |
1 043 |
1 360 |
56.6 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
2 686 |
969 |
1 716 |
1 357 |
359 |
20.9 |
1 316 |
334 |
982 |
817 |
165 |
16.8 |
1 370 |
636 |
734 |
540 |
194 |
26.5 |
URBAN |
2 453 |
918 |
1 536 |
1 198 |
338 |
22.0 |
1 200 |
320 |
880 |
722 |
158 |
17.9 |
1 254 |
597 |
656 |
476 |
180 |
27.4 |
NON-URBAN |
232 |
52 |
181 |
159 |
22 |
12.1 |
116 |
13 |
102 |
95 |
* |
7.1 |
116 |
38 |
78 |
64 |
15 |
18.6 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
3 589 |
1 938 |
1 650 |
794 |
857 |
51.9 |
1 572 |
745 |
827 |
427 |
400 |
48.3 |
2 017 |
1 193 |
823 |
366 |
457 |
55.5 |
URBAN |
1 465 |
616 |
849 |
526 |
323 |
38.1 |
667 |
239 |
427 |
280 |
147 |
34.4 |
799 |
377 |
422 |
246 |
176 |
41.7 |
NON-URBAN |
2 124 |
1 323 |
801 |
268 |
534 |
66.6 |
906 |
506 |
400 |
147 |
253 |
63.2 |
1 218 |
817 |
402 |
120 |
281 |
70.0 |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
536 |
213 |
323 |
227 |
96 |
29.8 |
263 |
82 |
181 |
141 |
40 |
22.2 |
273 |
131 |
142 |
86 |
56 |
39.4 |
URBAN |
370 |
162 |
208 |
135 |
73 |
35.0 |
177 |
66 |
111 |
79 |
32 |
29.0 |
193 |
96 |
97 |
56 |
41 |
41.9 |
NON-URBAN |
166 |
51 |
115 |
92 |
23 |
20.4 |
86 |
16 |
70 |
62 |
* |
11.5 |
80 |
35 |
45 |
30 |
15 |
34.1 |
FREE STATE |
||||||||||||||||||
TOTAL |
1 759 |
693 |
1 067 |
729 |
337 |
31.6 |
877 |
278 |
599 |
460 |
139 |
23.2 |
882 |
415 |
467 |
269 |
198 |
42.4 |
URBAN |
1 206 |
511 |
696 |
442 |
254 |
36.5 |
571 |
207 |
364 |
251 |
113 |
31.0 |
636 |
304 |
332 |
190 |
141 |
42.6 |
NON-URBAN |
553 |
182 |
371 |
288 |
83 |
22.4 |
306 |
71 |
235 |
209 |
26 |
11.2 |
246 |
111 |
136 |
79 |
57 |
41.7 |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
5 202 |
2 216 |
2 986 |
1 712 |
1 275 |
42.7 |
2 391 |
840 |
1 552 |
988 |
564 |
36.3 |
2 811 |
1 376 |
1 434 |
724 |
711 |
49.5 |
URBAN |
2 713 |
969 |
1 743 |
1 114 |
630 |
36.1 |
1 279 |
359 |
920 |
639 |
281 |
30.6 |
1 434 |
610 |
823 |
475 |
348 |
42.3 |
NON-URBAN |
2 489 |
1 247 |
1 243 |
598 |
645 |
51.9 |
1 113 |
481 |
632 |
349 |
283 |
44.7 |
1 377 |
766 |
611 |
249 |
362 |
59.3 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.1 TOTAL (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
2 146 |
890 |
1 256 |
738 |
518 |
41.3 |
1 064 |
359 |
705 |
475 |
229 |
32.5 |
1 082 |
531 |
551 |
262 |
289 |
52.4 |
URBAN |
777 |
297 |
479 |
320 |
159 |
33.2 |
392 |
121 |
271 |
197 |
74 |
27.4 |
384 |
176 |
209 |
124 |
85 |
40.7 |
NON-URBAN |
1 369 |
592 |
777 |
417 |
359 |
46.2 |
672 |
238 |
434 |
279 |
155 |
35.8 |
697 |
355 |
343 |
139 |
204 |
59.5 |
GAUTENG |
||||||||||||||||||
TOTAL |
5 369 |
1 594 |
3 775 |
2 544 |
1 231 |
32.6 |
2 806 |
637 |
2 169 |
1 574 |
596 |
27.5 |
2 562 |
957 |
1 605 |
970 |
635 |
39.6 |
URBAN |
5 228 |
1 565 |
3 663 |
2 452 |
1 211 |
33.1 |
2 723 |
626 |
2 097 |
1 514 |
583 |
27.8 |
2 505 |
939 |
1 566 |
938 |
628 |
40.1 |
NON-URBAN |
141 |
29 |
112 |
92 |
20 |
17.7 |
84 |
11 |
72 |
59 |
13 |
17.7 |
57 |
18 |
39 |
32 |
* |
17.7 |
MPUMALANGA |
||||||||||||||||||
TOTAL |
1 735 |
702 |
1 033 |
672 |
361 |
34.9 |
848 |
285 |
563 |
416 |
147 |
26.2 |
887 |
417 |
470 |
256 |
213 |
45.4 |
URBAN |
752 |
270 |
483 |
323 |
160 |
33.1 |
374 |
115 |
259 |
195 |
64 |
24.7 |
379 |
155 |
224 |
128 |
96 |
42.9 |
NON-URBAN |
982 |
433 |
550 |
349 |
201 |
36.5 |
474 |
170 |
304 |
220 |
84 |
27.5 |
508 |
262 |
246 |
129 |
117 |
47.7 |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
2 689 |
1 472 |
1 218 |
618 |
600 |
49.2 |
1 176 |
573 |
603 |
349 |
253 |
42.0 |
1 514 |
899 |
615 |
269 |
346 |
56.3 |
URBAN |
362 |
135 |
227 |
159 |
67 |
29.7 |
168 |
53 |
116 |
92 |
23 |
20.1 |
193 |
82 |
111 |
67 |
44 |
39.7 |
NON-URBAN |
2 328 |
1 337 |
991 |
459 |
532 |
53.7 |
1 007 |
520 |
487 |
257 |
230 |
47.2 |
1 320 |
816 |
504 |
202 |
302 |
60.0 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.2 AFRICANS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
19 427 |
8 457 |
10 970 |
5 922 |
5 048 |
46.0 |
9 252 |
3 373 |
5 879 |
3 621 |
2 258 |
38.4 |
10 176 |
5 085 |
5 091 |
2 301 |
2 790 |
54.8 |
URBAN |
9597 |
3374 |
6222 |
3547 |
2676 |
43.0 |
4762 |
1392 |
3370 |
2153 |
1217 |
36.1 |
4834 |
1982 |
2852 |
1394 |
1459 |
51.1 |
NON-URBAN |
9831 |
5083 |
4748 |
2376 |
2372 |
50.0 |
4489 |
1980 |
2509 |
1468 |
1040 |
41.5 |
5341 |
3102 |
2239 |
907 |
1332 |
59.5 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
612 |
205 |
407 |
244 |
163 |
40.0 |
314 |
76 |
239 |
161 |
78 |
32.5 |
298 |
130 |
168 |
83 |
85 |
50.8 |
URBAN |
595 |
200 |
394 |
234 |
161 |
40.8 |
304 |
74 |
231 |
154 |
76 |
33.1 |
290 |
127 |
164 |
79 |
84 |
51.6 |
NON-URBAN |
17 |
* |
12 |
* |
* |
15.8 |
* |
* |
* |
* |
* |
13.4 |
* |
* |
* |
* |
* |
20.2 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
3 038 |
1 713 |
1 325 |
530 |
795 |
60.0 |
1 302 |
658 |
644 |
278 |
366 |
56.8 |
1 736 |
1 055 |
681 |
252 |
429 |
63.0 |
URBAN |
951 |
405 |
547 |
282 |
264 |
48.3 |
414 |
156 |
257 |
143 |
114 |
44.5 |
537 |
248 |
289 |
139 |
150 |
51.8 |
NON-URBAN |
2 087 |
1 309 |
778 |
247 |
530 |
68.2 |
888 |
501 |
387 |
135 |
252 |
65.1 |
1 199 |
807 |
391 |
112 |
279 |
71.3 |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
189 |
76 |
113 |
70 |
44 |
38.5 |
95 |
29 |
66 |
48 |
18 |
27.7 |
94 |
47 |
48 |
22 |
25 |
53.5 |
URBAN |
140 |
66 |
74 |
38 |
36 |
48.4 |
66 |
26 |
40 |
24 |
16 |
40.1 |
74 |
40 |
34 |
14 |
20 |
58.2 |
NON-URBAN |
49 |
* |
39 |
31 |
* |
19.9 |
29 |
* |
25 |
23 |
* |
8.1 |
20 |
* |
14 |
* |
* |
41.8 |
FREE STATE |
||||||||||||||||||
TOTAL |
1 489 |
600 |
889 |
568 |
321 |
36.1 |
743 |
246 |
497 |
366 |
131 |
26.4 |
746 |
355 |
392 |
202 |
190 |
48.4 |
URBAN |
976 |
429 |
547 |
309 |
238 |
43.6 |
458 |
177 |
281 |
176 |
105 |
37.3 |
517 |
251 |
266 |
133 |
134 |
50.2 |
NON-URBAN |
514 |
172 |
342 |
259 |
83 |
24.2 |
285 |
69 |
216 |
190 |
26 |
12.2 |
229 |
103 |
126 |
69 |
56 |
44.7 |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
4 173 |
1 827 |
2 347 |
1160 |
1186 |
50.6 |
1 894 |
717 |
1 177 |
658 |
519 |
44.1 |
2 279 |
1 110 |
1 170 |
502 |
667 |
57.1 |
URBAN |
1 707 |
587 |
1 120 |
576 |
543 |
48.5 |
792 |
237 |
555 |
318 |
237 |
42.8 |
915 |
351 |
564 |
259 |
306 |
54.2 |
NON-URBAN |
2 466 |
1 239 |
1 227 |
584 |
643 |
52.4 |
1 102 |
480 |
622 |
340 |
282 |
45.3 |
1 364 |
759 |
605 |
244 |
362 |
59.7 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.2 AFRICANS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
1 953 |
819 |
1 133 |
627 |
506 |
44.6 |
967 |
337 |
630 |
407 |
224 |
35.5 |
986 |
482 |
503 |
221 |
282 |
56.1 |
URBAN |
612 |
239 |
373 |
226 |
147 |
39.5 |
309 |
102 |
207 |
139 |
68 |
33.0 |
303 |
137 |
166 |
87 |
79 |
47.6 |
NON-URBAN |
1 340 |
580 |
760 |
402 |
359 |
47.2 |
658 |
234 |
423 |
268 |
155 |
36.7 |
683 |
346 |
337 |
134 |
203 |
60.3 |
GAUTENG |
||||||||||||||||||
TOTAL |
3 834 |
1 138 |
2 697 |
1605 |
1092 |
40.5 |
2 056 |
484 |
1 572 |
1041 |
531 |
33.8 |
1 779 |
654 |
1 125 |
564 |
561 |
49.8 |
URBAN |
3 721 |
1 119 |
2 603 |
1529 |
1073 |
41.2 |
1 985 |
477 |
1 508 |
989 |
520 |
34.5 |
1 737 |
642 |
1 095 |
541 |
554 |
50.6 |
NON-URBAN |
113 |
19 |
94 |
76 |
18 |
19.4 |
71 |
* |
64 |
52 |
11 |
17.7 |
42 |
12 |
30 |
23 |
* |
23.1 |
MPUMALANGA |
||||||||||||||||||
TOTAL |
1 539 |
642 |
898 |
547 |
351 |
39.1 |
748 |
265 |
484 |
341 |
143 |
29.5 |
791 |
377 |
414 |
206 |
208 |
50.2 |
URBAN |
589 |
216 |
374 |
223 |
151 |
40.3 |
292 |
96 |
195 |
135 |
60 |
30.7 |
297 |
119 |
178 |
88 |
91 |
50.9 |
NON-URBAN |
950 |
426 |
524 |
324 |
200 |
38.2 |
457 |
168 |
289 |
206 |
83 |
28.8 |
494 |
258 |
236 |
118 |
117 |
49.7 |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
2 599 |
1 437 |
1 161 |
571 |
591 |
50.9 |
1133 |
563 |
570 |
322 |
248 |
43.5 |
1 466 |
875 |
592 |
249 |
343 |
58.0 |
URBAN |
306 |
115 |
191 |
129 |
62 |
32.3 |
142 |
48 |
95 |
75 |
20 |
20.8 |
164 |
68 |
96 |
54 |
42 |
43.5 |
NON-URBAN |
2 293 |
1 322 |
971 |
442 |
529 |
54.5 |
990 |
515 |
475 |
247 |
228 |
48.0 |
1 303 |
807 |
496 |
195 |
301 |
60.8 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY PROVINCE AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.3 COLOUREDS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
2 396 |
853 |
1 544 |
1 177 |
367 |
23.8 |
1 137 |
298 |
839 |
675 |
164 |
19.6 |
1 259 |
555 |
705 |
502 |
203 |
28.7 |
URBAN |
2 042 |
760 |
1 282 |
954 |
328 |
25.6 |
965 |
271 |
694 |
542 |
151 |
21.8 |
1 077 |
489 |
588 |
412 |
176 |
30.0 |
NON-URBAN |
354 |
92 |
262 |
222 |
39 |
15.0 |
172 |
27 |
145 |
132 |
13 |
9.0 |
182 |
66 |
116 |
90 |
26 |
22.4 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
1 456 |
502 |
954 |
771 |
183 |
19.1 |
699 |
164 |
535 |
456 |
79 |
14.8 |
757 |
339 |
418 |
315 |
103 |
24.7 |
URBAN |
1 252 |
459 |
793 |
629 |
164 |
20.7 |
599 |
154 |
446 |
372 |
73 |
16.5 |
653 |
306 |
347 |
257 |
90 |
26.0 |
NON-URBAN |
204 |
43 |
161 |
142 |
19 |
11.7 |
100 |
* |
90 |
84 |
* |
6.6 |
104 |
33 |
71 |
58 |
13 |
18.2 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
303 |
126 |
177 |
127 |
50 |
28.1 |
146 |
55 |
91 |
67 |
24 |
26.4 |
157 |
70 |
87 |
61 |
26 |
29.8 |
URBAN |
277 |
116 |
161 |
114 |
47 |
29.0 |
133 |
51 |
82 |
59 |
23 |
28.2 |
143 |
65 |
79 |
55 |
24 |
29.9 |
NON-URBAN |
26 |
10 |
16 |
13 |
* |
18.7 |
13 |
* |
* |
* |
* |
9.8 |
13 |
* |
* |
* |
* |
28.7 |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
264 |
107 |
157 |
109 |
48 |
30.7 |
126 |
42 |
84 |
64 |
20 |
23.7 |
138 |
65 |
73 |
44 |
28 |
38.9 |
URBAN |
163 |
73 |
90 |
57 |
33 |
36.5 |
78 |
31 |
47 |
33 |
14 |
30.0 |
85 |
42 |
42 |
24 |
19 |
43.7 |
NON-URBAN |
101 |
34 |
67 |
52 |
15 |
23.1 |
48 |
11 |
37 |
31 |
* |
15.7 |
53 |
23 |
30 |
20 |
10 |
32.1 |
FREE STATE |
||||||||||||||||||
TOTAL |
51 |
18 |
33 |
22 |
11 |
33.2 |
27 |
* |
19 |
13 |
* |
32.6 |
24 |
* |
14 |
* |
* |
34.1 |
URBAN |
45 |
17 |
28 |
17 |
11 |
39.5 |
23 |
* |
16 |
* |
* |
40.0 |
22 |
* |
12 |
* |
* |
38.9 |
NON-URBAN |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
80 |
30 |
50 |
42 |
* |
17.1 |
34 |
11 |
23 |
18 |
* |
22.4 |
46 |
19 |
27 |
24 |
* |
12.5 |
URBAN |
76 |
29 |
47 |
39 |
* |
17.2 |
32 |
* |
22 |
17 |
* |
23.7 |
44 |
19 |
25 |
22 |
* |
11.4 |
NON-URBAN |
* |
* |
* |
* |
* |
15.9 |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
* |
26.2 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.3 COLOUREDS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
33 |
11 |
22 |
14 |
* |
35.4 |
15 |
* |
12 |
* |
* |
30.0 |
18 |
* |
* |
* |
* |
41.5 |
URBAN |
26 |
* |
18 |
* |
* |
41.3 |
13 |
* |
* |
* |
* |
39.0 |
14 |
* |
* |
* |
* |
43.6 |
NON-URBAN |
* |
* |
* |
* |
* |
11.7 |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
* |
30.4 |
GAUTENG |
||||||||||||||||||
TOTAL |
190 |
52 |
138 |
82 |
56 |
40.6 |
82 |
13 |
69 |
44 |
25 |
36.1 |
108 |
39 |
69 |
38 |
31 |
45.2 |
URBAN |
187 |
52 |
135 |
79 |
56 |
41.4 |
81 |
13 |
68 |
43 |
25 |
36.7 |
107 |
39 |
68 |
37 |
31 |
46.1 |
NON-URBAN |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
MPUMALANGA |
||||||||||||||||||
TOTAL |
13 |
* |
* |
* |
* |
18.0 |
* |
* |
* |
* |
* |
16.1 |
* |
* |
* |
* |
* |
19.8 |
URBAN |
* |
* |
* |
* |
* |
11.2 |
* |
* |
* |
* |
- |
4.8 |
* |
* |
* |
* |
* |
16.7 |
NON-URBAN |
* |
* |
* |
* |
* |
51.0 |
* |
* |
* |
* |
* |
57.6 |
* |
* |
* |
- |
- |
40.7 |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
* |
* |
* |
* |
* |
38.4 |
* |
* |
* |
* |
* |
49.8 |
* |
* |
* |
* |
* |
33.3 |
URBAN |
* |
* |
* |
* |
* |
38.4 |
* |
* |
* |
* |
* |
49.8 |
* |
* |
* |
* |
* |
33.3 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( 15 TO 65 YEARS OF AGE ) BY PROVINCE AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.4 INDIANS (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
738 |
313 |
425 |
342 |
83 |
19.4 |
355 |
85 |
270 |
226 |
44 |
16.3 |
383 |
227 |
155 |
117 |
39 |
24.9 |
URBAN |
723 |
306 |
416 |
334 |
82 |
19.6 |
348 |
84 |
263 |
220 |
43 |
16.4 |
375 |
222 |
153 |
114 |
39 |
25.3 |
NON-URBAN |
15 |
* |
* |
* |
* |
10.2 |
* |
* |
* |
* |
* |
14.3 |
* |
* |
* |
* |
- |
- |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
29 |
14 |
15 |
13 |
* |
14.4 |
14 |
* |
* |
* |
* |
11.2 |
15 |
* |
* |
* |
* |
18.0 |
URBAN |
29 |
14 |
15 |
13 |
* |
14.4 |
14 |
* |
* |
* |
* |
11.2 |
15 |
* |
* |
* |
* |
18.0 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
12 |
* |
* |
* |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
|
URBAN |
12 |
* |
* |
* |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
|
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
560 |
235 |
324 |
255 |
70 |
21.5 |
269 |
64 |
205 |
169 |
36 |
17.6 |
291 |
171 |
119 |
86 |
34 |
28.3 |
URBAN |
548 |
230 |
317 |
249 |
69 |
21.7 |
264 |
64 |
200 |
165 |
35 |
17.6 |
284 |
166 |
118 |
84 |
34 |
28.7 |
NON-URBAN |
12 |
* |
* |
* |
* |
13.2 |
* |
- |
* |
* |
* |
17.6 |
* |
* |
* |
* |
- |
- |
GAUTENG |
||||||||||||||||||
TOTAL |
117 |
51 |
66 |
56 |
10 |
15.5 |
57 |
13 |
45 |
38 |
* |
15.2 |
59 |
38 |
21 |
18 |
* |
16.1 |
URBAN |
117 |
51 |
66 |
56 |
10 |
15.5 |
57 |
13 |
45 |
38 |
* |
15.2 |
59 |
38 |
21 |
18 |
* |
16.1 |
NON-URBAN |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
|
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.5 WHITES (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
RSA |
||||||||||||||||||
TOTAL |
3 115 |
1 046 |
2 068 |
1 935 |
133 |
6.4 |
1 546 |
367 |
1 179 |
1 113 |
66 |
5.6 |
1 569 |
679 |
890 |
823 |
67 |
7.6 |
URBAN |
2 935 |
986 |
1 949 |
1 822 |
127 |
6.5 |
1 454 |
350 |
1 105 |
1 043 |
62 |
5.6 |
1 480 |
636 |
844 |
779 |
65 |
7.7 |
NON-URBAN |
180 |
60 |
120 |
113 |
* |
5.1 |
92 |
18 |
74 |
70 |
* |
5.2 |
88 |
43 |
46 |
44 |
* |
4.8 |
WESTERN CAPE |
||||||||||||||||||
TOTAL |
584 |
245 |
339 |
327 |
12 |
3.5 |
286 |
87 |
198 |
191 |
* |
3.6 |
298 |
158 |
140 |
136 |
* |
3.3 |
URBAN |
574 |
242 |
332 |
321 |
11 |
3.3 |
280 |
86 |
194 |
187 |
* |
3.6 |
293 |
156 |
138 |
134 |
* |
2.9 |
NON-URBAN |
* |
* |
* |
* |
* |
13.5 |
* |
* |
* |
* |
- |
5.5 |
* |
* |
* |
* |
* |
27.6 |
EASTERN CAPE |
||||||||||||||||||
TOTAL |
228 |
91 |
137 |
126 |
11 |
8.3 |
113 |
28 |
86 |
77 |
* |
10.1 |
115 |
63 |
52 |
49 |
* |
5.4 |
URBAN |
217 |
87 |
131 |
119 |
11 |
8.8 |
109 |
27 |
81 |
73 |
* |
10.6 |
108 |
59 |
49 |
46 |
* |
5.7 |
NON-URBAN |
11 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
NORTHERN CAPE |
||||||||||||||||||
TOTAL |
74 |
25 |
48 |
46 |
* |
5.6 |
36 |
* |
27 |
27 |
* |
1.9 |
38 |
16 |
21 |
19 |
* |
10.4 |
URBAN |
63 |
21 |
41 |
39 |
* |
6.6 |
30 |
* |
21 |
21 |
* |
2.4 |
33 |
13 |
20 |
18 |
* |
11.0 |
NON-URBAN |
11 |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
* |
* |
* |
- |
- |
FREE STATE |
||||||||||||||||||
TOTAL |
215 |
72 |
144 |
139 |
* |
3.5 |
105 |
23 |
82 |
81 |
* |
1.9 |
110 |
48 |
62 |
58 |
* |
5.7 |
URBAN |
182 |
62 |
120 |
115 |
* |
3.9 |
87 |
21 |
67 |
65 |
* |
2.3 |
95 |
42 |
53 |
50 |
* |
5.8 |
NON-URBAN |
33 |
* |
24 |
23 |
- |
1.6 |
18 |
* |
16 |
16 |
- |
- |
15 |
* |
* |
* |
- |
4.6 |
KWAZULU-NATAL |
||||||||||||||||||
TOTAL |
386 |
123 |
262 |
253 |
* |
3.7 |
192 |
48 |
144 |
140 |
* |
2.5 |
194 |
76 |
118 |
112 |
* |
5.1 |
URBAN |
379 |
122 |
257 |
247 |
* |
3.8 |
188 |
48 |
140 |
137 |
* |
2.6 |
190 |
74 |
116 |
110 |
* |
5.2 |
NON-URBAN |
* |
* |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
* |
- |
* |
* |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS ( BETWEEN 15 AND 65 YEARS OF AGE ) BY POPULATION GROUP AND GENDER. 2.2 USING THE EXPANDED DEFINITION 2.2.5 WHITES (1000) |
||||||||||||||||||
TOTAL |
MALE |
FEMALE |
||||||||||||||||
PROVINCES |
||||||||||||||||||
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
NOT |
ECONOMICALLY ACTIVE |
|||||||||||||
ECONO- |
ECONO- |
ECONO- |
||||||||||||||||
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
MICALLY |
UNEMP- |
|||||||||||||
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
TOTAL |
ACTIVE |
TOTAL |
WORKERS |
LOYED |
RATE |
|
NORTH WEST |
||||||||||||||||||
TOTAL |
153 |
57 |
96 |
92 |
* |
3.9 |
78 |
18 |
60 |
58 |
* |
3.4 |
75 |
39 |
36 |
34 |
* |
4.9 |
URBAN |
131 |
47 |
84 |
80 |
* |
4.5 |
67 |
15 |
52 |
50 |
* |
3.9 |
64 |
32 |
32 |
30 |
* |
5.5 |
NON-URBAN |
22 |
10 |
12 |
12 |
- |
- |
11 |
* |
* |
* |
- |
- |
11 |
* |
* |
* |
- |
- |
GAUTENG |
||||||||||||||||||
TOTAL |
1 219 |
349 |
869 |
797 |
72 |
8.3 |
605 |
126 |
479 |
446 |
33 |
6.9 |
613 |
223 |
390 |
351 |
39 |
10.1 |
URBAN |
1 194 |
339 |
854 |
783 |
71 |
8.3 |
594 |
122 |
472 |
440 |
32 |
6.7 |
600 |
217 |
382 |
343 |
39 |
10.3 |
NON-URBAN |
25 |
* |
15 |
14 |
* |
10.1 |
11 |
* |
* |
* |
* |
21.4 |
14 |
* |
* |
* |
- |
- |
MPUMALANGA |
||||||||||||||||||
TOTAL |
178 |
55 |
122 |
114 |
* |
6.8 |
91 |
19 |
72 |
68 |
* |
5.3 |
87 |
36 |
50 |
46 |
* |
8.9 |
URBAN |
149 |
50 |
98 |
90 |
* |
8.4 |
75 |
17 |
58 |
54 |
* |
6.6 |
73 |
33 |
40 |
36 |
* |
11.1 |
NON-URBAN |
29 |
* |
24 |
24 |
- |
- |
16 |
* |
14 |
14 |
- |
- |
14 |
* |
* |
* |
- |
- |
NORTHERN PROVINCE |
||||||||||||||||||
TOTAL |
78 |
28 |
50 |
43 |
* |
15.2 |
39 |
* |
30 |
25 |
* |
16.9 |
39 |
19 |
20 |
18 |
* |
12.8 |
URBAN |
47 |
15 |
32 |
27 |
* |
14.1 |
24 |
* |
19 |
16 |
* |
15.8 |
23 |
11 |
13 |
11 |
* |
11.6 |
NON-URBAN |
31 |
13 |
19 |
15 |
* |
17.1 |
15 |
* |
11 |
* |
* |
18.7 |
16 |
* |
* |
* |
* |
14.7 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS |
||||||||||||||||||
(BETWEEN 15 AND 65 YEARS OF AGE) BY POPULATION GROUP AND GENDER |
||||||||||||||||||
2.3 EXCLUDING THE MINING SECTOR |
||||||||||||||||||
2.3.1 OFFICIAL DEFINITION |
||||||||||||||||||
(1000) |
||||||||||||||||||
POPULATION GROUP |
TOTAL |
MALE |
FEMALE |
|||||||||||||||
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
||||||||||
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
|||||||
RSA |
||||||||||||||||||
TOTAL |
25 275 |
13 157 |
12 118 |
8 955 |
3 163 |
26.1 |
11 891 |
5 117 |
6 774 |
5 225 |
1 548 |
22.9 |
13 384 |
8 040 |
5 344 |
3 730 |
1 614 |
30.2 |
URBAN |
15 053 |
6 694 |
8 359 |
6 396 |
1 962 |
23.5 |
7 286 |
2 623 |
4 663 |
3 706 |
957 |
20.5 |
7 767 |
4 071 |
3 696 |
2 690 |
1 005 |
27.2 |
NON-URBAN |
10 222 |
6 463 |
3 759 |
2 559 |
1 200 |
31.9 |
4 605 |
2 494 |
2 110 |
1 519 |
591 |
28.0 |
5 617 |
3 968 |
1 649 |
1 039 |
609 |
37.0 |
AFRICANS |
||||||||||||||||||
TOTAL |
19 063 |
10 712 |
8 350 |
5 557 |
2 793 |
33.4 |
8 894 |
4 268 |
4 626 |
3 263 |
1 362 |
29.5 |
10 169 |
6 445 |
3 724 |
2 294 |
1 430 |
38.4 |
URBAN |
9 387 |
4 440 |
4 947 |
3 337 |
1 610 |
32.5 |
4 557 |
1 830 |
2 726 |
1 947 |
779 |
28.6 |
4 831 |
2 610 |
2 221 |
1 390 |
831 |
37.4 |
NON-URBAN |
9 675 |
6 272 |
3 403 |
2 220 |
1 183 |
34.8 |
4 337 |
2 438 |
1 899 |
1 316 |
583 |
30.7 |
5 338 |
3 835 |
1 504 |
904 |
600 |
39.9 |
COLOUREDS |
||||||||||||||||||
TOTAL |
2 390 |
999 |
1 390 |
1 170 |
220 |
15.8 |
1 130 |
359 |
772 |
668 |
103 |
13.4 |
1 259 |
641 |
619 |
502 |
117 |
18.9 |
URBAN |
2 039 |
881 |
1 159 |
951 |
207 |
17.9 |
962 |
323 |
639 |
540 |
99 |
15.6 |
1 077 |
558 |
520 |
412 |
108 |
20.8 |
NON-URBAN |
350 |
118 |
232 |
219 |
13 |
5.6 |
168 |
36 |
133 |
129 |
* |
3.1 |
182 |
83 |
99 |
90 |
* |
9.0 |
INDIANS/ASIANS |
||||||||||||||||||
TOTAL |
737 |
336 |
401 |
341 |
59 |
14.8 |
354 |
94 |
260 |
225 |
36 |
13.7 |
383 |
242 |
140 |
117 |
24 |
16.9 |
URBAN |
722 |
330 |
392 |
334 |
58 |
14.9 |
347 |
93 |
254 |
220 |
35 |
13.6 |
375 |
237 |
138 |
114 |
24 |
17.2 |
NON-URBAN |
15 |
* |
* |
* |
* |
10.6 |
* |
* |
* |
* |
* |
15.1 |
* |
* |
* |
* |
- |
- |
WHITES |
||||||||||||||||||
TOTAL |
3 053 |
1 091 |
1 963 |
1 874 |
89 |
4.5 |
1 491 |
387 |
1 103 |
1 057 |
46 |
4.1 |
1 563 |
703 |
859 |
817 |
43 |
5.0 |
URBAN |
2 876 |
1 028 |
1 848 |
1 763 |
85 |
4.6 |
1 401 |
368 |
1 032 |
989 |
43 |
4.2 |
1 475 |
659 |
816 |
774 |
42 |
5.2 |
NON-URBAN |
177 |
63 |
114 |
111 |
* |
2.9 |
90 |
19 |
71 |
68 |
* |
3.7 |
88 |
44 |
44 |
43 |
* |
1.6 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUPS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
2 ECONOMICALLY AND NOT ECONOMICALLY ACTIVE POPULATION IN URBAN AND NON-URBAN AREAS |
||||||||||||||||||
(BETWEEN 15 AND 65 YEARS OF AGE) BY POPULATION GROUP AND GENDER |
||||||||||||||||||
2.3 EXCLUDING THE MINING SECTOR |
||||||||||||||||||
2.3.2 EXPANDED DEFINITION |
||||||||||||||||||
(1000) |
||||||||||||||||||
POPULATION GROUP |
TOTAL |
MALE |
FEMALE |
|||||||||||||||
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
TOTAL |
NOT ECONOMICALLY ACTIVE |
ECONOMICALLY ACTIVE |
||||||||||
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
TOTAL |
WORKERS |
UNEMPLOYED |
RATE |
|||||||
RSA |
||||||||||||||||||
TOTAL |
25 275 |
10 686 |
14 589 |
8 955 |
5 634 |
38.6 |
11 891 |
4 132 |
7 759 |
5 225 |
2 534 |
32.7 |
13 384 |
6 554 |
6 829 |
3 730 |
3 100 |
45.4 |
URBAN |
15 053 |
5 442 |
9 611 |
6 396 |
3 215 |
33.4 |
7 286 |
2 105 |
5 181 |
3 706 |
1 475 |
28.5 |
7 767 |
3 337 |
4 430 |
2 690 |
1 739 |
39.3 |
NON-URBAN |
10 222 |
5 244 |
4 978 |
2 559 |
2 419 |
48.6 |
4 605 |
2 027 |
2 578 |
1 519 |
1 059 |
41.1 |
5 617 |
3 218 |
2 400 |
1 039 |
1 360 |
56.7 |
AFRICANS |
||||||||||||||||||
TOTAL |
19 063 |
8 457 |
10 605 |
5 557 |
5 048 |
47.6 |
8 894 |
3 373 |
5 521 |
3 263 |
2 258 |
40.9 |
10 169 |
5 085 |
5 084 |
2 294 |
2 790 |
54.9 |
URBAN |
9 387 |
3 374 |
6 013 |
3 337 |
2 676 |
44.5 |
4 557 |
1 392 |
3 164 |
1 947 |
1 217 |
38.5 |
4 831 |
1 982 |
2 848 |
1 390 |
1 459 |
51.2 |
NON-URBAN |
9 675 |
5 083 |
4 593 |
2 220 |
2 372 |
51.7 |
4 337 |
1 980 |
2 357 |
1 316 |
1 040 |
44.2 |
5 338 |
3 102 |
2 236 |
904 |
1 332 |
59.6 |
COLOUREDS |
||||||||||||||||||
TOTAL |
2 390 |
853 |
1 537 |
1 170 |
367 |
23.9 |
1 130 |
298 |
833 |
668 |
164 |
19.7 |
1 259 |
555 |
704 |
502 |
203 |
28.8 |
URBAN |
2 039 |
760 |
1 279 |
951 |
328 |
25.6 |
962 |
271 |
691 |
540 |
151 |
21.9 |
1 077 |
489 |
588 |
412 |
176 |
30.0 |
NON-URBAN |
350 |
92 |
258 |
219 |
39 |
15.2 |
168 |
27 |
142 |
129 |
13 |
9.3 |
182 |
66 |
116 |
90 |
26 |
22.5 |
INDIANS/ASIANS |
||||||||||||||||||
TOTAL |
737 |
313 |
424 |
341 |
83 |
19.5 |
354 |
85 |
269 |
225 |
44 |
16.4 |
383 |
227 |
155 |
117 |
39 |
24.9 |
URBAN |
722 |
306 |
416 |
334 |
82 |
19.7 |
347 |
84 |
263 |
220 |
43 |
16.4 |
375 |
222 |
153 |
114 |
39 |
25.3 |
NON-URBAN |
15 |
* |
* |
* |
* |
10.6 |
* |
* |
* |
* |
* |
15.1 |
* |
* |
* |
* |
- |
- |
WHITES |
||||||||||||||||||
TOTAL |
3 053 |
1 046 |
2 007 |
1 874 |
133 |
6.6 |
1 491 |
367 |
1 123 |
1 057 |
66 |
5.8 |
1 563 |
679 |
884 |
817 |
67 |
7.6 |
URBAN |
2 876 |
986 |
1 890 |
1 763 |
127 |
6.7 |
1 401 |
350 |
1 051 |
989 |
62 |
5.9 |
1 475 |
636 |
839 |
774 |
65 |
7.8 |
NON-URBAN |
177 |
60 |
117 |
111 |
* |
5.2 |
90 |
18 |
72 |
68 |
* |
5.4 |
88 |
43 |
45 |
43 |
* |
4.8 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUPS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
||||||||||||||||||
3 WORKERS (EMPLOYERS AND EMPLOYEES) |
|||||||||||||||
3.1 BY INDUSTRY, POPULATION GROUP AND GENDER |
|||||||||||||||
(1000) |
|||||||||||||||
INDUSTRY GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
9 390 |
5 647 |
3 743 |
5 922 |
3 621 |
2 301 |
1 177 |
675 |
502 |
342 |
226 |
117 |
1 935 |
1 113 |
823 |
AGRICULTURE, HUNTING,FORESTRY |
|||||||||||||||
AND FISHERY |
935 |
674 |
261 |
715 |
517 |
198 |
164 |
108 |
55 |
- |
- |
- |
56 |
48 |
* |
MINING AND QUARRYING |
435 |
422 |
13 |
365 |
358 |
* |
* |
* |
- |
* |
* |
- |
61 |
55 |
* |
MANUFACTURING |
1 385 |
912 |
473 |
798 |
542 |
256 |
228 |
131 |
97 |
98 |
67 |
32 |
259 |
170 |
88 |
ELECTRICITY, GAS, AND WATER |
113 |
93 |
20 |
65 |
56 |
* |
* |
* |
- |
* |
* |
- |
40 |
29 |
11 |
CONSTRUCTION |
548 |
518 |
30 |
377 |
361 |
16 |
88 |
86 |
* |
14 |
13 |
* |
69 |
60 |
* |
WHOLESALE, RETAIL TRADE |
|||||||||||||||
AND CATERING AND |
|||||||||||||||
ACCOMODATION SERVICES |
1 787 |
968 |
819 |
1 092 |
566 |
527 |
225 |
110 |
115 |
99 |
74 |
25 |
368 |
216 |
152 |
TRANSPORT, STORAGE |
|||||||||||||||
AND COMMUNICATION |
552 |
454 |
97 |
326 |
297 |
29 |
52 |
43 |
* |
27 |
22 |
* |
146 |
91 |
55 |
FINANCE, INSURANCE, REAL ESTATE |
|||||||||||||||
AND BUSINESS SERVICES |
855 |
535 |
319 |
306 |
221 |
85 |
84 |
43 |
41 |
33 |
19 |
14 |
427 |
248 |
179 |
COMMUNITY, SOCIAL AND PERSONAL |
|||||||||||||||
SERVICES |
1 848 |
863 |
985 |
1 119 |
556 |
563 |
217 |
114 |
104 |
61 |
24 |
38 |
449 |
169 |
280 |
PRIVATE HOUSEHOLDS |
771 |
109 |
663 |
680 |
99 |
581 |
81 |
10 |
71 |
- |
- |
- |
* |
- |
9 |
ACTIVITIES NOT ADEQUATELY |
|||||||||||||||
DEFINED |
125 |
77 |
48 |
59 |
34 |
25 |
22 |
16 |
* |
* |
* |
- |
40 |
23 |
17 |
UNSPECIFIED |
36 |
21 |
15 |
19 |
14 |
* |
* |
* |
* |
* |
* |
* |
11 |
* |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUPS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
3 WORKERS (EMPLOYERS AND EMPLOYEES) |
|||||||||||||||
3.2 BY OCCUPATION, POPULATION GROUP AND GENDER |
|||||||||||||||
(1000) |
|||||||||||||||
MAIN OCCUPATIONAL GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
9 390 |
5 647 |
3 743 |
5 922 |
3 621 |
2 301 |
1 177 |
675 |
502 |
342 |
226 |
117 |
1 935 |
1 113 |
823 |
LEGISLATORS, SENIOR OFFICIALS |
|||||||||||||||
AND MANAGERS |
728 |
560 |
168 |
228 |
175 |
53 |
59 |
39 |
20 |
55 |
46 |
* |
384 |
298 |
86 |
PROFESSIONALS |
509 |
286 |
224 |
154 |
77 |
77 |
47 |
28 |
19 |
27 |
13 |
14 |
281 |
167 |
113 |
TECHNICIANS, AND ASSOCIATE |
|||||||||||||||
PROFESSIONALS |
906 |
409 |
497 |
440 |
185 |
255 |
88 |
36 |
53 |
47 |
24 |
22 |
328 |
161 |
166 |
CLERKS |
943 |
318 |
625 |
369 |
180 |
189 |
146 |
50 |
96 |
56 |
25 |
31 |
371 |
63 |
309 |
SERVICE WORKERS AND SHOP AND |
|||||||||||||||
MARKET SALES WORKERS |
1 152 |
674 |
478 |
812 |
484 |
328 |
117 |
58 |
59 |
40 |
31 |
* |
177 |
96 |
81 |
SKILLED AGRICULTURAL AND FISHERY |
|||||||||||||||
WORKERS |
227 |
174 |
53 |
187 |
136 |
50 |
18 |
15 |
* |
- |
- |
- |
23 |
22 |
* |
CRAFT AND RELATED TRADES WORKERS |
1 314 |
1 131 |
183 |
887 |
750 |
137 |
171 |
151 |
20 |
44 |
35 |
* |
210 |
193 |
17 |
PLANT AND MACHINE OPERATORS |
|||||||||||||||
AND ASSEMBLERS |
947 |
828 |
120 |
736 |
671 |
65 |
114 |
80 |
34 |
42 |
31 |
11 |
54 |
44 |
10 |
ELEMENTARY OCCUPATIONS |
1 668 |
1 001 |
667 |
1 310 |
770 |
539 |
299 |
187 |
112 |
22 |
13 |
* |
37 |
30 |
* |
DOMESTIC WORKERS |
749 |
102 |
648 |
663 |
93 |
570 |
78 |
* |
69 |
- |
- |
- |
* |
- |
* |
OCCUPATIONS UNSPECIFIED |
246 |
164 |
82 |
136 |
99 |
37 |
40 |
22 |
18 |
* |
* |
* |
62 |
38 |
24 |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
3 WORKERS (EMPLOYERS AND EMPLOYEES) 3.3 BY LEVEL OF EDUCATION, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
LEVEL OF EDUCATION |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
9 390 |
5 647 |
3 743 |
5 922 |
3 621 |
2 301 |
1 177 |
675 |
502 |
342 |
226 |
117 |
1 935 |
1 113 |
823 |
NONE |
837 |
507 |
330 |
762 |
464 |
298 |
66 |
40 |
26 |
* |
* |
* |
* |
- |
* |
GRADE 0 TO GRADE 3/STD 1 |
331 |
214 |
117 |
290 |
189 |
102 |
34 |
24 |
10 |
* |
- |
* |
* |
* |
* |
GRADE 4/STD 2 |
334 |
217 |
116 |
289 |
189 |
100 |
43 |
27 |
16 |
* |
- |
* |
- |
- |
- |
GRADE 5/STD 3 |
354 |
225 |
129 |
304 |
199 |
105 |
47 |
24 |
22 |
* |
* |
* |
* |
- |
* |
GRADE 6/STD 4 |
475 |
287 |
188 |
391 |
234 |
158 |
75 |
48 |
27 |
* |
* |
* |
* |
* |
* |
GRADE 7/STD 5 |
632 |
396 |
236 |
522 |
327 |
195 |
103 |
64 |
39 |
* |
* |
* |
* |
* |
- |
GRADE 8/STD 6 |
782 |
485 |
297 |
610 |
383 |
227 |
126 |
68 |
59 |
26 |
19 |
* |
20 |
16 |
* |
GRADE 9/STD 7 |
489 |
306 |
183 |
348 |
223 |
126 |
95 |
52 |
43 |
17 |
12 |
* |
27 |
18 |
* |
GRADE 10/STD 8/NTC I |
956 |
578 |
378 |
569 |
344 |
225 |
152 |
86 |
67 |
34 |
23 |
11 |
200 |
125 |
75 |
GRADE 11/STD 9/NTC II |
488 |
315 |
174 |
360 |
228 |
131 |
56 |
37 |
20 |
26 |
22 |
* |
46 |
28 |
18 |
GRADE 12/STD 10/NTC III |
2 146 |
1 232 |
914 |
887 |
554 |
333 |
230 |
121 |
108 |
124 |
82 |
42 |
897 |
467 |
430 |
DIPLOMA/CERTIFICATE WITH STD 9 OR LOWER |
140 |
92 |
49 |
50 |
29 |
21 |
20 |
14 |
* |
* |
* |
* |
64 |
45 |
18 |
DIPLOMA/CERTIFICATE WITH STD 10 |
934 |
500 |
434 |
411 |
195 |
216 |
86 |
49 |
38 |
48 |
29 |
19 |
388 |
226 |
161 |
DEGREE/HIGHER |
464 |
281 |
183 |
117 |
60 |
58 |
30 |
16 |
14 |
37 |
23 |
14 |
279 |
182 |
97 |
UNSPECIFIED |
28 |
13 |
15 |
12 |
* |
* |
12 |
* |
* |
* |
* |
* |
* |
* |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
4 INFORMAL SECTOR 4.1 TOTAL NUMBER OF WORKERS INVOLVED IN THE INFORMAL SECTOR BY GENDER AND POPULATION GROUP (1000) |
|||||||||||||||
DESCRIPTION OF NATURE OF INVOLVEMENT |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
IN THE INFORMAL SECTOR |
|||||||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
2 065 |
881 |
1 184 |
1 724 |
720 |
1 004 |
173 |
70 |
103 |
30 |
19 |
11 |
137 |
71 |
66 |
EMPLOYED BY SOMEONE ELSE IN |
|||||||||||||||
THE INFORMAL SECTOR |
636 |
432 |
204 |
519 |
367 |
152 |
62 |
37 |
24 |
* |
* |
* |
47 |
23 |
24 |
WORKERS FOR OWN ACCOUNT |
626 |
317 |
309 |
501 |
234 |
266 |
31 |
23 |
* |
22 |
15 |
* |
73 |
45 |
28 |
PERSONS INVOLVED IN BOTH THE |
|||||||||||||||
FORMAL AND INFORMAL SECTOR |
54 |
31 |
23 |
41 |
25 |
16 |
* |
* |
* |
* |
* |
- |
* |
* |
* |
DOMESTIC WORKERS |
749 |
102 |
648 |
663 |
93 |
570 |
78 |
* |
69 |
- |
- |
- |
* |
- |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
4 INFORMAL SECTOR 4.2 BY INDUSTRY, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
INDUSTRY GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
2 065 |
881 |
1 184 |
1 724 |
720 |
1 004 |
173 |
70 |
103 |
30 |
19 |
11 |
137 |
71 |
66 |
AGRICULTURE, HUNTING,FORESTRY |
|||||||||||||||
AND FISHERY |
204 |
142 |
62 |
185 |
128 |
57 |
13 |
* |
* |
- |
- |
- |
* |
* |
* |
MINING AND QUARRYING |
* |
* |
- |
* |
* |
- |
- |
- |
- |
- |
- |
- |
* |
* |
- |
MANUFACTURING |
131 |
56 |
75 |
97 |
42 |
55 |
11 |
5 |
6 |
4 |
2 |
2 |
19 |
7 |
11 |
ELECTRICITY, GAS, AND WATER |
* |
* |
* |
* |
* |
- |
- |
- |
- |
- |
- |
- |
* |
* |
* |
CONSTRUCTION |
161 |
156 |
* |
132 |
128 |
* |
21 |
20 |
- |
* |
* |
- |
* |
* |
- |
WHOLESALE, RETAIL TRADE |
|||||||||||||||
AND CATERING AND |
|||||||||||||||
ACCOMODATION SERVICES |
525 |
240 |
285 |
443 |
189 |
253 |
27 |
14 |
13 |
14 |
* |
* |
41 |
27 |
14 |
TRANSPORT, STORAGE |
|||||||||||||||
AND COMMUNICATION |
82 |
76 |
* |
73 |
70 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
|
FINANCE, INSURANCE, REAL ESTATE |
|||||||||||||||
AND BUSINESS SERVICES |
53 |
36 |
17 |
24 |
18 |
* |
* |
* |
* |
* |
* |
* |
22 |
14 |
* |
COMMUNITY, SOCIAL AND PERSONAL |
|||||||||||||||
SERVICES |
116 |
46 |
70 |
77 |
34 |
43 |
11 |
* |
* |
* |
* |
* |
25 |
* |
19 |
PRIVATE HOUSEHOLDS |
764 |
106 |
658 |
675 |
97 |
578 |
81 |
9 |
71 |
8 |
8 |
||||
ACTIVITIES NOT ADEQUATELY |
|||||||||||||||
DEFINED |
18 |
14 |
* |
12 |
* |
* |
* |
* |
- |
* |
* |
- |
* |
* |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POUPLATION GROUP * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
4 INFORMAL SECTOR 4.3 BY OCCUPATION, POPULATION GROUP AND GENDER (1000) |
|||||||||||||||
MAIN OCCUPATIONAL GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
2 065 |
881 |
1 184 |
1 724 |
720 |
1 004 |
173 |
70 |
103 |
30 |
19 |
11 |
137 |
71 |
66 |
LEGISLATORS, SENIOR OFFICIALS |
|||||||||||||||
AND MANAGERS |
79 |
54 |
26 |
50 |
34 |
16 |
* |
* |
* |
* |
* |
- |
19 |
12 |
* |
PROFESSIONALS |
17 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
* |
- |
* |
* |
* |
TECHNICIANS, AND ASSOCIATE |
|||||||||||||||
PROFESSIONALS |
63 |
20 |
43 |
28 |
* |
19 |
* |
- |
* |
* |
* |
* |
31 |
* |
21 |
CLERKS |
42 |
12 |
30 |
23 |
* |
14 |
* |
- |
* |
* |
- |
* |
14 |
* |
11 |
SERVICE WORKERS AND SHOP AND |
|||||||||||||||
MARKET SALES WORKERS |
264 |
117 |
147 |
231 |
102 |
129 |
16 |
* |
10 |
* |
* |
* |
10 |
* |
* |
SKILLED AGRICULTURAL AND FISHERY |
|||||||||||||||
WORKERS |
70 |
46 |
24 |
62 |
39 |
23 |
* |
* |
* |
- |
- |
- |
* |
* |
- |
CRAFT AND RELATED TRADES WORKERS |
290 |
227 |
63 |
226 |
173 |
53 |
23 |
23 |
* |
11 |
* |
* |
29 |
23 |
* |
PLANT AND MACHINE OPERATORS |
|||||||||||||||
AND ASSEMBLERS |
104 |
96 |
8 |
96 |
90 |
* |
* |
* |
* |
* |
* |
- |
- |
* |
- |
ELEMENTARY OCCUPATIONS |
370 |
188 |
182 |
329 |
163 |
166 |
28 |
18 |
10 |
* |
* |
* |
* |
* |
* |
DOMESTIC WORKERS |
749 |
102 |
648 |
663 |
93 |
570 |
78 |
8 |
69 |
* |
* |
||||
OCCUPATIONS UNSPECIFIED |
17 |
11 |
* |
* |
* |
* |
* |
* |
- |
- |
- |
- |
* |
* |
* |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUP |
|||||||||||||||
5 UNEMPLOYED 5.1 BY EXPANDED AND OFFICIAL DEFINITION, GENDER AND POPULATION GROUP (1000) |
||||||||||||||||
UNEMPLOYED |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
|||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
||
RSA |
||||||||||||||||
24 622 |
11 640 |
12 982 |
18 541 |
8 712 |
9 829 |
2 314 |
1 103 |
1 211 |
730 |
354 |
376 |
3 037 |
1 471 |
1 566 |
||
13 834 |
5 448 |
8 386 |
11 375 |
4 623 |
6 752 |
971 |
340 |
631 |
346 |
105 |
241 |
1 142 |
380 |
762 |
||
OFFICIAL DEFINITION OF UNEMPLOYMENT |
3 163 |
1 548 |
1 614 |
2 793 |
1 362 |
1 430 |
220 |
103 |
117 |
59 |
36 |
24 |
89 |
46 |
43 |
|
TOTAL |
||||||||||||||||
NOT ECONOMICALLY ACTIVE |
25.19526 |
21.51708 |
30.13498 |
32.04673 |
27.33655 |
38.33820 |
15.77113 |
13.30067 |
18.87772 |
14.74433 |
13.61074 |
16.85294 |
4.379627 |
3.945895 |
4.960290 |
|
RATE |
25.2 |
21.5 |
30.1 |
32.0 |
27.3 |
38.3 |
15.8 |
13.3 |
18.9 |
14.7 |
13.6 |
16.9 |
4.4 |
3.9 |
5.0 |
|
TOTAL |
37 |
31 |
45 |
46 |
38 |
55 |
24 |
20 |
29 |
19 |
16 |
25 |
6 |
6 |
8 |
|
NOT ECONOMICALLY ACTIVE |
11 351 |
4 359 |
6 992 |
9 070 |
3 604 |
5 467 |
846 |
293 |
553 |
327 |
96 |
231 |
1 109 |
366 |
743 |
|
EXPANDED DEFINITION OF UNEMPLOYMENT |
5 634 |
2 534 |
3 100 |
5 048 |
2 258 |
2 790 |
367 |
164 |
203 |
83 |
44 |
39 |
133 |
66 |
67 |
|
WORKERS |
8 557 |
5 122 |
3 435 |
5 220 |
3 160 |
2 060 |
1 175 |
684 |
491 |
340 |
225 |
115 |
1 823 |
1 053 |
770 |
|
ECONOMICALLY ACTIVE |
14 191 |
7 656 |
6 535 |
10 268 |
5 418 |
4 850 |
1 542 |
848 |
694 |
422 |
269 |
153 |
1 956 |
1 119 |
837 |
|
RATE |
37.5 |
31.0 |
45.3 |
46.0 |
38.4 |
54.8 |
23.8 |
19.6 |
28.7 |
19.4 |
16.3 |
24.9 |
6.4 |
5.6 |
7.6 |
|
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS TOTALS INCLUDE OTHER POPULATION GROUP |
||||||||||||||||
5 UNEMPLOYED 5.2 UNEMPLOYED IN URBAN AND NON-URBAN AREAS BY AGE, POPULATION GROUP AND GENDER 5.2.1 USING THE OFFICIAL DEFINITION (1000) |
|||||||||||||||
AGE GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
RSA |
|||||||||||||||
TOTAL |
3 163 |
1 548 |
1 614 |
2 793 |
1 362 |
1 430 |
220 |
103 |
117 |
59 |
36 |
24 |
89 |
46 |
43 |
15-19 |
162 |
84 |
78 |
108 |
58 |
49 |
35 |
13 |
22 |
11 |
* |
* |
* |
* |
* |
20-24 |
739 |
365 |
374 |
630 |
313 |
317 |
65 |
31 |
34 |
15 |
10 |
* |
28 |
11 |
17 |
25-29 |
764 |
361 |
403 |
698 |
332 |
366 |
40 |
16 |
24 |
12 |
* |
* |
13 |
* |
* |
30-34 |
571 |
263 |
307 |
517 |
236 |
281 |
37 |
17 |
20 |
* |
* |
* |
11 |
* |
* |
35-39 |
380 |
179 |
202 |
354 |
167 |
187 |
16 |
* |
* |
* |
* |
* |
* |
* |
* |
40-44 |
220 |
117 |
103 |
198 |
102 |
95 |
14 |
* |
* |
* |
* |
* |
* |
* |
* |
45-49 |
167 |
87 |
80 |
147 |
75 |
72 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
50-54 |
91 |
49 |
42 |
78 |
40 |
38 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
55-59 |
52 |
31 |
22 |
48 |
28 |
20 |
* |
* |
* |
* |
* |
* |
* |
* |
- |
60-64 |
15 |
11 |
* |
12 |
* |
* |
- |
- |
- |
* |
* |
- |
* |
* |
- |
65 |
* |
* |
- |
* |
* |
- |
- |
- |
- |
- |
- |
- |
* |
* |
- |
URBAN |
|||||||||||||||
TOTAL |
1 962 |
957 |
1005 |
1610 |
779 |
831 |
207 |
99 |
108 |
58 |
35 |
24 |
85 |
43 |
42 |
15-19 |
101 |
51 |
50 |
51 |
26 |
24 |
32 |
12 |
19 |
10 |
* |
* |
* |
* |
* |
20-24 |
475 |
235 |
240 |
374 |
187 |
186 |
61 |
30 |
31 |
15 |
10 |
* |
25 |
* |
17 |
25-29 |
483 |
223 |
260 |
420 |
194 |
225 |
38 |
16 |
23 |
12 |
* |
* |
12 |
* |
* |
30-34 |
353 |
161 |
192 |
301 |
135 |
166 |
35 |
16 |
19 |
* |
* |
* |
11 |
* |
* |
35-39 |
234 |
110 |
124 |
210 |
99 |
111 |
14 |
* |
* |
* |
* |
* |
* |
* |
* |
40-44 |
134 |
76 |
58 |
113 |
62 |
51 |
14 |
* |
* |
* |
* |
* |
* |
* |
* |
45-49 |
95 |
51 |
44 |
76 |
39 |
37 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
50-54 |
48 |
26 |
23 |
35 |
17 |
18 |
* |
* |
* |
* |
* |
* |
* |
* |
* |
55-59 |
28 |
16 |
12 |
24 |
14 |
10 |
* |
* |
* |
* |
* |
- |
* |
* |
- |
60-64 |
* |
* |
* |
* |
* |
* |
- |
- |
- |
* |
* |
- |
* |
* |
- |
65 |
* |
* |
- |
* |
* |
- |
- |
- |
- |
- |
- |
- |
* |
* |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
5 UNEMPLOYED 5.2 UNEMPLOYED IN URBAN AND NON-URBAN AREAS BY AGE, POPULATION GROUP AND GENDER 5.2.1 USING THE OFFICIAL DEFINITION (1000) |
|||||||||||||||
AGE GROUP |
TOTAL |
AFRICANS |
COLOUREDS |
INDIANS/ASIANS |
WHITES |
||||||||||
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
TOTAL |
MALE |
FEMALE |
|
NON-URBAN |
|||||||||||||||
TOTAL |
1200 |
591 |
609 |
1183 |
583 |
600 |
13 |
* |
* |
* |
* |
- |
* |
* |
* |
15-19 |
61 |
33 |
28 |
57 |
32 |
25 |
* |
* |
* |
* |
* |
- |
- |
- |
- |
20-24 |
263 |
130 |
134 |
256 |
126 |
131 |
* |
* |
* |
- |
- |
- |
* |
* |
- |
25-29 |
281 |
138 |
143 |
279 |
138 |
141 |
* |
* |
* |
- |
- |
- |
* |
- |
* |
30-34 |
218 |
102 |
116 |
216 |
101 |
115 |
* |
* |
* |
- |
- |
- |
- |
- |
- |
35-39 |
147 |
69 |
78 |
145 |
68 |
77 |
* |
* |
* |
- |
- |
- |
- |
- |
- |
40-44 |
85 |
41 |
45 |
85 |
41 |
44 |
* |
- |
* |
- |
- |
- |
- |
- |
- |
45-49 |
72 |
36 |
36 |
71 |
36 |
36 |
* |
* |
- |
- |
- |
- |
- |
- |
- |
50-54 |
43 |
23 |
20 |
43 |
23 |
20 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
55-59 |
24 |
14 |
10 |
24 |
14 |
10 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
60-64 |
* |
* |
* |
* |
* |
* |
* |
- |
- |
- |
- |
- |
- |
- |
- |
65 |
* |
* |
* |
* |
* |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
DUE TO ROUNDING, NUMBERS DO NOT NECESSARILY ADD UP TO TOTALS * SAMPLE SIZE TOO SMALL FOR RELIABLE ESTIMATES |
|||||||||||||||
This page was designed by Zelma de Bruin |