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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 density (people per km2)

DefinitionNumber of people per square kilometre.
Keywords
Indicator Type: -> Demographic -> Distribution

[Related Resources]

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

AOBRBWCDDZGHKELSMGMUMWMXMZNANOSZTHTRTZUSVEZAZMZW
Population density (people per km2) [Definition]
1996 ---------------------[1] 34.4--
2003 ---------------------[2] 38.1--
2004 ---------------------[3] 38.2--
2005 ---------------------[4] 38.5--
2007 ---------------------[5] 39.2--
2008 ---------------------[6] 39.9--
AO: Angola  BR: Brazil  BW: Botswana  CD: Congo, Democratic Republic of  DZ: Algeria  GH: Ghana  KE: Kenya  LS: Lesotho  MG: Madagascar  MU: Mauritius  MW: Malawi  MX: Mexico  MZ: Mozambique  NA: Namibia  NO: Norway  SZ: Swaziland  TH: Thailand  TR: Turkey  TZ: Tanzania  US: United States of America  VE: Venezuela  ZA: South Africa  ZM: Zambia  ZW: Zimbabwe  

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/
    Calculated, using provincial areas from Census 2001
  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/
    Calculated from 2004 mid-year estimates and provincial areas from Census 2001.
  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/
    Calculated from 2005 mid-year estimates and provincial areas from Census 2001.
  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/
    Calculated from 2007 mid-year estimates and provincial areas from Municipal Demarcation Board 2006.
  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/
    Calculated from 2008 mid-year estimates and provincial areas from Municipal Demarcation Board 2006.
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