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Population dynamics in Ciskei.

G Nagle

    Geography Review
    |March 1, 1995
    PubMed
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    Population density patterns in South Africa, particularly in the Ciskei region, are significantly shaped by the enduring impacts of apartheid-era policies. This study examines these historical influences on current population distribution.

    Area of Science:

    • Human Geography
    • Demography
    • Socio-political Geography

    Background:

    • Population density is a key metric in human geography, revealing spatial variations.
    • Political developments, especially during South Africa's apartheid era, profoundly influenced population distribution.
    • The former homeland of Ciskei serves as a case study for these demographic shifts.

    Purpose of the Study:

    • To analyze the impact of historical political forces on contemporary population density in South Africa.
    • To examine the specific population distribution and density conditions within the Ciskei region.
    • To understand the long-lasting geographical consequences of apartheid policies.

    Main Methods:

    • Analysis of population density statistics.
    • Geographical mapping of population distribution.
    Keywords:
    AfricaAfrica South Of The SaharaDeveloping CountriesEnglish Speaking AfricaGeographic FactorsGeographyHuman GeographyMapsPolitical FactorsPopulationPopulation Density--determinantsSocial SciencesSouth AfricaSouthern AfricaSpatial Distribution--determinants

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  • Examination of historical political developments and their spatial impact.

    • Main Results:

    • Significant contrasts in population density exist across South Africa.
    • Apartheid-era policies have demonstrably altered population distribution patterns.
    • The Ciskei region exhibits unique population density characteristics shaped by its history.

    Conclusions:

    • Historical political contexts are critical determinants of population density.
    • The legacy of apartheid continues to influence South Africa's demographic landscape.
    • Understanding past policies is essential for interpreting current population geography.