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GEO • SHS 1Term 3WAEC / WASSCE SyllabusVIP Lesson

Population Distribution, Structure & Migration in West Africa

Factors influencing population distribution, rural-urban drift, urbanization challenges in Accra and Kumasi, demographic transition, and census data.

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Real-World Context & Relevance in Ghana

Kayayei (head porters) migrating from northern Ghana to wholesale markets in Accra illustrate economic push factors from dry rural districts.

Key Syllabus Learning Objectives

  • 1Examine physical and human factors responsible for uneven population distribution in Ghana
  • 2Analyze the socio-economic push and pull factors driving rural-urban migration
  • 3Evaluate urban governance challenges resulting from rapid city growth in Accra and Kumasi
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Comprehensive Syllabus Study Notes

• Population Distribution Factors: - Densely Populated Areas: Coastal mining and commercial hubs (Accra-Tema, Sekondi-Takoradi), forest agricultural zones (Kumasi, Koforidua), and historic northern trading hubs (Tamale). - Sparsely Populated Areas: The 'Middle Belt' of Ghana (parts of Afram Plains and Northern Region) due to historic slave raiding, tsetse fly infestation, poor road networks, and low rainfall. • Population Structure: High birth rates produce a youthful population pyramid with a broad base, resulting in a high age dependency ratio. • Rural-Urban Migration: - Push Factors: Rural poverty, lack of potable water and electricity, erratic agricultural incomes, poor schools, and outmoded cultural practices. - Pull Factors: Perceived white-collar job opportunities, modern hospitals, higher education, entertainment, and social amenities in urban centers. - Urban Consequences: Slum expansion (e.g. Old Fadama / Sodom and Gomorrah in Accra), sanitation crises, traffic congestion, and youth unemployment.
  • Population Distribution Factors:
  • Densely Populated Areas: Coastal mining and commercial hubs (Accra-Tema, Sekondi-Takoradi), forest agricultural zones (Kumasi, Koforidua), and historic northern trading hubs (Tamale).
  • Sparsely Populated Areas: The 'Middle Belt' of Ghana (parts of Afram Plains and Northern Region) due to historic slave raiding, tsetse fly infestation, poor road networks, and low rainfall.
  • Population Structure: High birth rates produce a youthful population pyramid with a broad base, resulting in a high age dependency ratio.
  • Rural-Urban Migration:
  • Push Factors: Rural poverty, lack of potable water and electricity, erratic agricultural incomes, poor schools, and outmoded cultural practices.
  • Pull Factors: Perceived white-collar job opportunities, modern hospitals, higher education, entertainment, and social amenities in urban centers.
  • Urban Consequences: Slum expansion (e.g. Old Fadama / Sodom and Gomorrah in Accra), sanitation crises, traffic congestion, and youth unemployment.
Practical Example:

Kayayei (head porters) migrating from northern Ghana to wholesale markets in Accra illustrate economic push factors from dry rural districts.

Core Takeaway:

Dependency ratio = (Children 0–14 + Elderly 65+) divided by Working Population (15–64) multiplied by 100.

WAEC / WASSCE Examiner Tips
  • Dependency ratio = (Children 0–14 + Elderly 65+) divided by Working Population (15–64) multiplied by 100.
Common Candidate Pitfalls & Errors to Avoid
  • Writing crude birth rate as a percentage when it is a rate per thousand of the population.
  • Defining the dependency ratio as children divided by workers, leaving the elderly out of the numerator.
  • Confusing the birth rate (per thousand of everyone) with the fertility rate (per thousand of women of childbearing age).
  • Adding births and deaths to get growth and forgetting net migration entirely.
  • Reading a wide-based pyramid as an ageing population instead of a young, rapidly growing one.
Topic Mastery Checklist
  • Examine physical and human factors responsible for uneven population distribution in Ghana
  • Analyze the socio-economic push and pull factors driving rural-urban migration
  • Evaluate urban governance challenges resulting from rapid city growth in Accra and Kumasi
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