The Demographic Transition Model (DTM) describes population change over time through five distinct stages:
Stage 1: High Stationary
Birth rates and death rates are both high.
Population growth is slow and fluctuating due to high mortality rates.
Example: Pre-industrial societies.
Challenges: Limited access to healthcare and education may perpetuate high mortality rates.
Stage 2: Early Expanding
Death rates begin to decline due to improvements in healthcare and sanitation.
Birth rates remain high, leading to rapid population growth.
Example: Countries like Afghanistan or Yemen.
Challenges: Rapid population growth may lead to increased strain on resources and services.
Stage 3: Late Expanding
Birth rates start to decrease as a result of contraceptive use and changing social values.
Death rates remain low, leading to continued population growth but at a slower rate.
Example: Most countries in Latin America.
Challenges: Transitioning economies may struggle to provide adequate education and employment opportunities.
Stage 4: Low Stationary
Both birth rates and death rates are low, leading to a stable population.
Population may slowly increase or remain stable depending on birth rates.
Example: Developed countries like the USA or Canada.
Challenges: Aging populations may lead to labor shortages and increased demand for healthcare services.
Stage 5: Declining
Birth rates fall below death rates, resulting in a declining population.
Factors include aging populations and lower fertility rates.
Example: Countries like Japan and Germany.
Challenges: Labor shortages and increased pressure on social services to support a growing elderly population.
Key Concepts:
Natural Increase Rate: Birth rate minus death rate; significant during stages 2 and 3.
Cultural and Economic Factors: Influence birth and death rates, including healthcare access, education, and changes in societal norms.
Limitations:
Not all countries fit neatly into the model; some may skip stages or remain stuck in a stage due to unique factors.