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Updated: Aug 16, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
An optimum world population
1Optimum Population Trust, Llanfallteg, Dyfed.
The optimum world population, estimated between one to two billion, ensures a good quality of life for all. This sustainable population level supports biodiversity, resource availability, and individual freedoms for present and future generations.
Area of Science:
- Environmental Science
- Demography
- Sustainability Studies
Background:
- Defining an optimum global population is crucial for ensuring a high quality of life for everyone, now and in the future.
- Current population levels and consumption patterns pose significant challenges to long-term sustainability and resource availability.
Purpose of the Study:
- To estimate an optimum world population size that balances human needs with ecological limits.
- To establish a consensus on population size as a step towards achieving global quality of life.
Main Methods:
- Estimating maximum carrying capacity based on biodiversity, freshwater, and land availability for a specified lifestyle.
- Adjusting carrying capacity to an optimum by incorporating criteria like personal liberty, mobility, and political representation.
- Validating the optimum against minimum population requirements considering economies of scale and technological innovation.
Main Results:
- The estimated maximum carrying capacity of the planet is two to three billion people.
- The optimum world population is estimated to be between one to two billion people.
- These estimates account for a substantial increase in per capita consumption needed for an adequate material standard of living for all.
Conclusions:
- Achieving an optimum population is essential for making global challenges solvable.
- The findings underscore the need for a significant reduction in global population to ensure a sustainable and equitable future.
- An energy shock may concentrate minds on population dynamics and resource management.
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