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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 province

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

[Related Resources]

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

ECFSGPKZNLPMPNCNWWCZA
Population % by province [Definition]
1996 15.56.518.120.712.16.92.18.39.7[1] 100.0
1999 15.56.318.120.712.47.02.08.39.7[2] 100.0
2000 with AIDS15.76.418.020.512.66.92.08.29.7[3] 100.0
2001 14.46.019.721.011.87.01.88.210.1[4] 100.0
2001 with AIDS15.76.418.020.512.87.02.08.19.6[5] 100.0
2002 with AIDS15.86.317.920.412.97.02.08.19.6[6] 100.0
2003 14.05.920.321.011.77.01.88.210.2[7] 100.0
2004 15.26.319.020.711.97.01.98.29.8[8] 100.0
2005 15.06.319.220.612.06.91.98.29.9[9] 100.0
2006 14.96.219.420.512.06.91.98.110.0[10] 100.0
2007 14.46.220.220.911.37.42.37.110.1[11] 100.0
2007 CS13.55.721.521.210.87.52.26.710.9[12] 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: -
  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 at source.
  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 at source. Calculated.
  4. 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: -
  5. 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 at source.
  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/
  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/
    2005 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/
    2006 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/
    2007 mid-year estimates. Figures may not add up due to rounding.
  12. 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/
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