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The objective of this section is to present the best available data on a wide range of health and related indicators.  This should provide health planners and managers with easy access to data from a variety of sources.

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Population % by ethnic group

DefinitionProportion of South African population in each ethnic group (calculated from population per ethnic group and population for whole of South Africa).
Keywords
Indicator Type: -> Demographic -> Population

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Indicator Data
View by [Ethnic] [Geographic (SA provinces)] [International] [District]

ECFSGPKZNLPMPNCNWWCZA
Population % by ethnic group [Definition]
1996 ---------[1] 100.0
1998 ---------[2] 100.0
1999 ---------[3] 100.0
2000 without AIDS---------[4] 100.0
2001 ---------[5] 100.0
2001 without AIDS---------[6] 100.0
2002 without AIDS---------[7] 100.0
2003 ---------[8] 100.0
2004 ---------[9] 100.0
2005 ---------[10] 100.0
2006 ---------[11] 100.0
2007 ---------[12] 100.0
2007 CS---------[13] 100.0
2031 high estimate---------[14] 100.0
2031 low estimate---------[15] 100.0
EC: Eastern Cape  FS: Free State  GP: Gauteng  KZN: KwaZulu-Natal  LP: Limpopo  MP: Mpumalanga  NC: Northern Cape  NW: North West  WC: Western Cape  ZA: South Africa  

Notes and References

  1. Census 1996: Statistics South Africa. Census in Brief. The people of South Africa population census 1996. Pretoria: Statistics South Africa; 1998. http://www.statssa.gov.za/
    Local copy: -
    Figures may not add up due to rounding.
  2. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    Figures may not add up due to rounding. Calculated.
  3. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    Figures may not add up due to rounding. Calculated.
  4. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    Figures may not add up due to rounding. Calculated.
  5. Census 2001: Statistics South Africa. Census 2001. Census in Brief. Pretoria: Statistics South Africa; 2003. http://www.statssa.gov.za/ There is a range of publications providing data from Census 2001, as well as an online database for downloading selected data.
    Local copy: -
  6. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    Figures may not add up due to rounding. Calculated.
  7. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
  8. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
  9. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2004 mid-year estimates.
  10. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2005 mid-year estimates.
  11. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2006 mid-year estimates.
  12. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
  13. Community Survey 2007: Statistics South Africa. Community Survey 2007. Various reports and online databases. http://www.statssa.gov.za
    Local copy: http://www.hst.org.za/indicators/StatsSA/CommSurvey/
  14. IFR Projections 1999: Haldenwang BB. High, Medium and Low Projections of the South African Population, 1996-2031. Cape Town: Institute for Futures Research; 1999. http://www.ifr.sun.ac.za/ High population projections: The demographic impact of HIV/AIDS is not incorporated, therefore life expectancy at birth increases throughout the projection period; fertility rates decline steadily; and a high degree of in-migration (200 000 per annum) is assumed. Medium population projections: The impact of the HIV/AIDS epidemic is incorporated from 2011 onwards; fertility rates in black/African and coloured women decline more rapidly than in the high projections; and a medium degree of in-migration (150 000 per annum) is assumed. Low population projections: The impact of the HIV/AIDS epidemic is incorporated from 1996 onwards; fertility rates are similar to those of the medium projections; and a low degree of in-migration (100 000 per annum) is assumed.
    Local copy: -
    Fig 2.1 pg 21
  15. IFR Projections 1999: Haldenwang BB. High, Medium and Low Projections of the South African Population, 1996-2031. Cape Town: Institute for Futures Research; 1999. http://www.ifr.sun.ac.za/ High population projections: The demographic impact of HIV/AIDS is not incorporated, therefore life expectancy at birth increases throughout the projection period; fertility rates decline steadily; and a high degree of in-migration (200 000 per annum) is assumed. Medium population projections: The impact of the HIV/AIDS epidemic is incorporated from 2011 onwards; fertility rates in black/African and coloured women decline more rapidly than in the high projections; and a medium degree of in-migration (150 000 per annum) is assumed. Low population projections: The impact of the HIV/AIDS epidemic is incorporated from 1996 onwards; fertility rates are similar to those of the medium projections; and a low degree of in-migration (100 000 per annum) is assumed.
    Local copy: -
    Fig 4.1 pg 161
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