Population Inputs: Births and Immigration
Population growth is influenced by two primary inputs: births and immigration.
These factors determine how a population increases over time at local, national, and global scales.
Measuring Population Inputs
Crude Birth Rate (CBR)
- The number of live births per 1,000 people per year.
- Higher in developing countries due to cultural, economic, and healthcare factors.
A CBR of 20 means 20 babies are born per 1,000 people annually.
Immigration Rate
- The number of immigrants per 1,000 people per year.
- Driven by economic opportunities, conflicts, climate change, or political instability.
The USA has historically seen high immigration, contributing to population growth.
These rates help analyze population trends at town, national, and global levels.
Factors Influencing Birth and Immigration Rates
Birth Rate Determinants:
- Access to healthcare (e.g., maternal care lowers birth rates).
- Economic development (higher income = lower birth rates).
- Cultural norms (some societies encourage large families).
Immigration Rate Determinants:
- Job opportunities (people migrate for better employment).
- Conflict & instability (wars force people to leave their home country).
- Climate change (rising sea levels displace coastal populations).
- High Birth Rate : Niger (CBR ~44 per 1,000)
Limited contraception access and cultural preference for large families. - Low Birth Rate : Japan (CBR ~7 per 1,000)
Aging population, career-focused lifestyles, and high living costs reduce births. - High Immigration : Germany (Immigration Rate ~12 per 1,000 in 2015)
Took in many refugees from Syria, Afghanistan, and Iraq. - Low Immigration : North Korea
Strict government control prevents people from entering or leaving.
Population Outputs: Deaths and Emigration
Population size is influenced by deaths and emigration, which reduce the total number of people in a given area.
These outputs help determine whether a population is shrinking, aging, or facing sustainability challenges.
Measuring Population Outputs
Crude Death Rate (CDR)
- The number of deaths per 1,000 people per year.
- Higher in aging populations and regions with poor healthcare.
A CDR of 10 means 10 people die per 1,000 annually.
Emigration Rate
- The number of people leaving a country per 1,000 people per year.
- Driven by economic, political, and environmental factors.
Syria has had a high emigration rate due to conflict.
These rates help analyze population decline and migration trends globally.
Factors Influencing Death and Emigration Rates
Death Rate Determinants:
- Healthcare quality (poor medical care = higher deaths).
- Age distribution (aging populations have more deaths).
- Diseases and pandemics (e.g., COVID-19 increased death rates).
- Living conditions (pollution, war, and malnutrition raise deaths).
Emigration Rate Determinants:
- Economic opportunities (people leave for better jobs).
- Conflict & instability (wars force people to flee).
- Climate change (rising sea levels and droughts drive migration).
- Political repression (authoritarian regimes push people to leave).
- High Death Rate : Bulgaria (CDR ~15 per 1,000)
Aging population, low birth rates, and economic struggles contribute to a high death rate. - Low Death Rate : Qatar (CDR ~1 per 1,000)
Young population, excellent healthcare, and high living standards keep death rates low. - High Emigration : Venezuela (Emigration Rate ~12 per 1,000 in 2018)
Economic collapse, political instability, and hyperinflation forced millions to leave. - Low Emigration : Japan
Strong economy and cultural ties discourage emigration.
To what extent can mathematical models accurately predict population changes when human behavior is influenced by unpredictable factors like conflict or climate change?
Population Dynamics: Key Metrics and Calculations
- Understanding population trends requires analyzing fertility, life expectancy, growth rates, and natural increase.
- These metrics help in forecasting future population size and resource demands.
Key Population Metrics
Total Fertility Rate (TFR)
- The average number of births per woman of childbearing age.
- Replacement level fertility is ~2.1 (needed to maintain population size).
Japan (TFR ~1.3) → Aging and declining population.
Life Expectancy
- The average number of years a person is expected to live if current conditions remain stable.
- Influenced by healthcare, nutrition, sanitation, and conflict.
- Monaco (~87 years) → High life expectancy due to healthcare and wealth.
- Chad (~54 years) → Low life expectancy due to malnutrition and disease.
Doubling Time (Rule of 70)
- The time it takes for a population to double at its current growth rate.
- Formula: Doubling Time = 70/ Growth Rate (%)
A country growing at 2% per year has a doubling time of 35 years.
Natural Increase Rate (NIR)
- Measures population growth, excluding migration.
- Formula: NIR = (Birth Rate−Death Rate)/10
- Uganda: Birth Rate = 35, Death Rate = 6 → NIR = 2.9% (fast growth).
- Germany: Birth Rate = 9, Death Rate = 11 → NIR = -0.2% (population decline).
Why These Metrics Matter
- High fertility + low mortality = Rapid growth → Strain on resources (e.g., India).
- Low fertility + aging population = Workforce decline (e.g., Italy, Japan).
- Short doubling time = Rapid urbanization & pressure on infrastructure (e.g., Nigeria).
- Declining natural increase = Need for immigration & policy changes (e.g., Canada).
Global Human Population Growth & Future Projections
The human population has experienced exponential growth, especially after the Industrial Revolution.
To predict future trends, models like UN population projections estimate different scenarios based on fertility rates.
Understanding Population Growth Trends
Past Growth Trends
- Pre-1800: Slow growth due to high mortality.
- 1800–1950: Rapid growth with industrialization and medical advances.
- 1950–2020: Exponential growth from ~2.5 billion to 8 billion.
Future Growth Uncertainty
- Population may peak in the late 21st century.
- Fertility rates are declining globally, but at different rates across regions.
UN Projection Models: Three Scenarios
The UN uses three fertility scenarios to predict global population growth:
High Fertility Scenario:
- Fertility remains high (~2.5 births per woman).
- Population could exceed 15 billion by 2100.
- More pressure on food, water, and energy resources.
Sub-Saharan Africa, where birth rates remain high.
Medium Fertility Scenario (Most Likely):
- Fertility declines to ~2.1 (replacement level).
- Population stabilizes around 10.4 billion by 2080.
- Requires continued education, healthcare, and economic improvements.
India & Brazil transitioning towards replacement-level fertility.
Low Fertility Scenario:
- Fertility drops below replacement level (~1.5 births per woman).
- Population peaks around 8–9 billion and declines after 2060.
- Causes aging populations, labor shortages, and economic shifts.
Japan, South Korea, and some European countries.
Factors Influencing Future Growth
- Education & Women’s Empowerment → Higher education reduces fertility.
- Economic Development → Urbanization & cost of living lower birth rates.
- Healthcare Improvements → Lower child mortality means fewer births needed.
- Government Policies → Incentives for childbirth or restrictions (e.g., China’s past one-child policy).


