UNIT 2 - POPULATION AND MIGRATION PATTERNS AND PROCESSES

CHAPTER 3 - PATTERNS OF POPULATION

0) Core Idea
  • Geographic Inquiry: Geographers analyze population patterns to understand complex processes of growth and movement over time, which affects cultural, political, environmental, and economic conditions.

  • Global Context: The global population reached 7.8 billion in December 2019. Today, more people are alive than at any other time in Earth’s history.

  • Major Clusters: Two-thirds of the world's population can be found in four regions:

    1. East Asia

    2. South Asia

    3. Southeast Asia

    4. Western Europe


3.1 WHERE PEOPLE LIVE: Factors Influencing Population Distribution

Learning Objective: PSO-2.A Identify the factors that influence the distribution of human populations at different scales.

1) Population Distribution Patterns

  • Definition: Population Distribution: Where people live within a geographic area.

  • Terms to Describe Patterns:

    • Uniform: Spread out evenly over an area.

    • Clustered (Agglomerated): Grouped or clumped together around a central point.

    • Linear: Forms long, narrow lines (e.g., along a river or highway).

    • Dispersed: Spread out across an area.

    • Random: Distributed without apparent order or logic.

  • Scales of Study: Geographers study population distributions at local, regional, national, and global scales.

2) Physical and Environmental Factors (Ecumenes)

People are more likely to settle where there are moderate climates, rich soils, and adequate water. Most people avoid areas that are too hot, too dry, too wet, or too cold.

  • A. Elevation

    • Populations are most heavily concentrated at
      low elevations.

    • 80% of the world’s population lives below elevations of 1,500 feet.

    • Populations diminish rapidly as elevation increases.

    • Challenging Areas (Highlands): Rocky, steep regions (like Tibet) are less populated due to difficulty building structures, transportation links (roads/railways), and challenges for agriculture (colder temperatures).

      • Temperature Lapse Rate: The average temperature drops by approximately 3°F for every 1,000-foot rise in elevation.

  • B. Climate

    • Definition: Climate: The long-term patterns of weather in an area.

    • Temperate Climates: Areas with moderate temperatures and adequate precipitation are usually more densely populated.

    • Extreme Climates: Areas like the arid Sahara or subarctic/polar regions (Canada) limit population concentration due to the extreme impact on daily life and the lack of agricultural viability.

      • Technology (e.g., center-pivot irrigation in Saudi Arabia) has allowed some populations to live in previously uninhabitable dry areas.

  • C. Landforms and Soil

    • Preference: People prefer lowlands due to the ease of building, planting, and transporting goods.

    • Fertile Areas: Flat, low-lying areas (plains, river valleys, deltas) have deeper, fertile soil suitable for agriculture.

      • Alluvial Soil: Rich soils created when the flow of rivers slows, depositing soil particles. This supports dense populations and early civilizations (Nile, Tigris-Euphrates, Indus, Ganges, Huang He).

  • D. Water Accessibility

    • Necessity: Ready access to fresh, ample water is essential for human survival, agriculture, industrial use, sanitation, and hygiene.

    • Settlement Patterns: Coasts and waterways are often densely populated because they offer economic advantages and convenient transportation routes.

    • Examples: The Yangtze River Valley in China is a major population and manufacturing center due to the river system allowing transport and trade.

3) Human Factors

  • A. Economic Factors

    • Opportunity: People live where they can earn a living (agriculture, manufacturing, resource extraction).

    • Migration: Economic reasons are a major driver of migration, such as seeking job opportunities, better working conditions, and higher pay.

    • Resource Influence: The presence of natural resources (e.g., nickel in Norilsk, Siberia) can attract dense populations, even if the environment is harsh.

  • B. Political Factors

    • Instability/Conflict: Unstable political circumstances or war can compel citizens to leave their homes (e.g., forced migrations).

    • Government Policy: Governments can enact policies to actively redistribute population.

      • Examples: Brazil moving the capital from coastal Rio de Janeiro to the inland city of Brasília in 1960 to develop central Brazil. Nigeria moving its capital from Lagos to
        Abuja in the 1980s.

      • Forced Displacement: The forced migration of millions of enslaved people to the Americas to support colonial economies had massive effects on distribution. The Khmer Rouge forcing over 2 million residents from Phnom Penh to the rural countryside in 1975.

  • C. Cultural Factors

    • Cultural factors that influence population changes include:

      • Religion

      • The roles and status of women (including socialization)

      • Familial attitudes regarding marriage and children

      • Preference for sons (which affects population composition).

  • D. Historical Factors

    • Past population distribution can influence present distribution.

    • Duration of Settlement: Densely populated areas often have an exceptionally long history of human habitation, while sparsely populated areas tend to have a less-established history.

    • Major Historical Movements: Events like the Migration period (300 to 700 C.E.) shaped population concentrations in Europe, North Africa, and Western Asia.


3.2 CONSEQUENCES OF POPULATION DISTRIBUTION

Learning Objective: IMP-2.B Explain the difference between and the implications of arithmetic and physiological population density.

1) Population Density: Measuring Concentration

  • Definition: Population Density: The number of people in a particular area.

    • Significance: It helps geographers understand how populations are distributed and the stress placed on resources.

  • A. Arithmetic Density

    • What it is: The total number of people divided by the total land area.

    • Why useful: The simplest measure; helps compare population concentrations between countries.

    • Limitation: It is a broad measure that doesn't account for clustering or non-habitable land (e.g., deserts, mountains).

  • B. Physiological Density

    • What it is: The total number of people divided by the amount of arable land (land suitable for agriculture).

    • Why useful: Provides insight into the capacity of a region to feed its population and the pressure placed on agricultural resources.

    • High Density Implication: A country with a much higher physiological density than its arithmetic density suggests a smaller percentage of its land is available for farming, indicating a higher strain on that land.

  • C. Agricultural Density

    • What it is: The number of farmers divided by the amount of arable land.

    • Why useful: Reflects farming efficiency and level of development.

    • Implication: Developed countries (MDCs) tend to have low agricultural density because technology and large farms allow few farmers to feed many people. Less developed countries (LDCs) have
      high agricultural density, indicating more reliance on subsistence farming.

2) Implications of Density Measures

Density is a major factor in understanding

carrying capacity, which is the population an area can support without significant environmental damage.

  • Economic Implications:

    • Population Clustering: Leads to greater economic opportunity, as concentration of labor and markets drives wealth creation.

    • High Density: Can lead to higher costs for housing, land, and resources; may require greater government spending on infrastructure (roads, sewage, power, water).

    • Low Density: Can make infrastructure (schools, utilities) expensive and less efficient, leading to lower economic opportunity and reduced access to services.

  • Political Implications:

    • Resource Allocation: Governments must decide how to allocate resources (water, food, housing, energy) among concentrated populations, often leading to tensions between dense and sparse areas.

    • Government Efficiency: Low density in rural areas makes it difficult and expensive to deliver government services, while high density in urban areas creates complex management challenges.

    • Representation: High density can be difficult to manage for political representation (e.g., drawing legislative districts).

  • Social Implications:

    • Urban vs. Rural: High-density, clustered populations (urban) have better access to healthcare, education, and social services, while low-density, dispersed populations (rural) may have less access.

    • Cultural Contact: High density increases cultural contact and interaction, leading to greater cultural diffusion, but also competition for space.

    • Poverty: High density in less-developed regions can exacerbate poverty and slum conditions.

  • Environmental Implications:

    • Pollution: High density leads to more concentrated pollution (air, water, waste) and higher resource consumption per area, stressing the environment.

    • Resource Depletion: High physiological density implies overuse of arable land, leading to soil degradation, erosion, and potential desertification.


3.3 POPULATION COMPOSITION

Learning Objective: PSO-2.B Explain the role of and interpret various programs and policies used to manage population change.

1) Population Pyramids (Age-Sex Diagrams)

  • Definition: A bar graph that shows the distribution of a country’s population by age and gender.

  • What it shows: Allows geographers to visualize population composition (the demographic makeup of a place) by cohort (age groups, typically 5-year intervals).

    • Age: Vertical axis.

    • Gender: Horizontal axis (Left = Male, Right = Female).

  • Significance/Purpose: Reveals historical events (wars, baby booms, epidemics) and helps forecast future social and economic needs (healthcare, education, pensions).

2) Shapes of Pyramids and Their Meaning

The shape of a pyramid is determined by the

fertility rate (birth rate) and mortality rate (death rate).

Shape

Description

Development Level

Implication / Characteristics

Rapid Growth

Classic pyramid shape with a wide base, rapidly tapering toward the top.

Less Developed (LDCs)

High Crude Birth Rate (CBR) and Low life expectancy; high proportion of young dependents.

Slow Growth

Rocket or column shape; sides are more vertical and base is moderately wide.

More Developed (MDCs) or Transitional

Declining CBR and Longer life expectancy; larger percentage of working-age population.

No Growth/Decline

Barrel or 'reverse' pyramid shape (wider at the top/middle than the bottom).

Highly Developed (MDCs)

Low CBR (below replacement level) and very high life expectancy; large elderly population (old dependents).

3) Demographic Measures and Anomalies

  • Dependency Ratio: The ratio of the population not in the labor force (dependents: 0-14 and 65+) to the working population (15-64).

    • High Dependency Ratio: Implies a greater financial burden on the working population to support the young and/or old.

      • LDCs: Burden is high due to a large young dependent population (high CBR).

      • MDCs: Burden is high due to a large old dependent population (low CBR, high life expectancy).

  • Sex Ratio (Gender Balance): The number of males per 100 females.

    • Global Average: Slightly more males than females at birth, but females typically outlive males.

    • Anomalies/Imbalances: Can be caused by:

      • Wars: Creates a deficit of working-age males.

      • Immigration: Countries receiving large numbers of guest workers may have a male surplus.

      • Cultural Preferences: Countries with a strong preference for sons (e.g., India, China) often result in a male surplus due to sex-selective abortions.

      • High Female Mortality: Due to neglect or poor healthcare.

4) Demographic and Social Consequences of Population Structure

  • Aging Populations (MDCs):

    • Challenge: The large proportion of elderly people requires greater healthcare spending (e.g., hospitals, nursing homes, specialized doctors).

    • Economic Strain: Fewer young workers to pay taxes to support the elderly, leading to potential labor shortages and calls for migration.

  • Youthful Populations (LDCs):

    • Challenge: Strain on school systems and job markets as a large number of young people enter the workforce.

    • Strain on Resources: Increased demand for basic resources (food, water, housing).


3.4 MEASURING GROWTH AND DECLINE

Learning Objective: PSO-2.C Explain the data used to calculate population and rates of population change.

1) Core Population Measures (Rates and Totals)

  • A. Crude Birth Rate (CBR)

    • What it is: The total number of live births in a year for every 1,000 people alive in society.

    • Global Range: Highs (over 40, found in Sub-Saharan Africa) and Lows (under 10, found in Europe).

  • B. Crude Death Rate (CDR)

    • What it is: The total number of deaths in a year for every 1,000 people alive in society.

    • Unexpected Pattern: MDCs often have higher CDRs than LDCs because MDCs have a large proportion of elderly people.

  • C. Natural Increase Rate (NIR) or Rate of Natural Increase (RNI)

    • What it is: The percentage growth or decline in a population per year.

    • Formula: NIR = (CBR - CDR) / 10 (The division by 10 converts the rate from per 1,000 to a percentage).

    • World NIR: Historically high in the mid-20th century, but dropping today. The world NIR is approximately 1.1%.

  • D. Doubling Time

    • What it is: The number of years needed to double a population, assuming a constant rate of natural increase.

    • Rule of 70 (Approximation): Doubling Time = 70 / NIR (as a percentage).

  • E. Total Fertility Rate (TFR)

    • What it is: The average number of children a woman will have throughout her childbearing years (15-49).

    • Significance: Predicts future population growth better than CBR, as it factors out the current age structure.

    • Replacement Level: The TFR needed to keep a population stable is 2.1.

  • F. Infant Mortality Rate (IMR)

    • What it is: The annual number of deaths of infants under 1 year of age, compared with total live births (expressed per 1,000 live births).

    • Significance: IMR reflects a country's healthcare system, sanitation, and nutrition.

    • MDC vs. LDC: High IMRs are found in LDCs (reflecting poor care); Low IMRs are found in MDCs.

  • G. Life Expectancy (at birth)

    • What it is: The average number of years an infant can be expected to live.

    • Significance: Reflects the overall health and quality of life in a country.

2) Demographic Accounting Equation (The True Growth Rate)

  • Concept: Population change is not just determined by births and deaths, but also by migration.

  • Formula (General): Total Population Change=(Births−Deaths)+(Immigrants−Emigrants).

Components:

  • Natural Change: (Births - Deaths)

  • Net Migration: (Immigrants - Emigrants)


CHAPTER 4 - POPULATION GROWTH AND DECLINE 

4.1 THE DEMOGRAPHIC TRANSITION MODEL (DTM) 📉📈

Learning Objective: PSO-2.D Explain the patterns and characteristics of the stages of the Demographic Transition Model (DTM).

1) DTM Stages: Detailed Analysis and Examples

Stage

Name

CBR/CDR/NIR

Why CDR Falls

Why CBR Falls

Population Pyramid Shape

Real-World Examples

1

Low Growth 🏕

CBR: High, CDR: High, NIR: Near Zero. Population fluctuates.

People die frequently due to famine, war, and disease. No medical advancements.

Lack of reliable birth control; children are economic assets (farm labor).

Classic, wide-based triangular shape, but very short life expectancy.

No country is currently in Stage 1. Only isolated, remote tribes.

2

High Growth 🚀

CBR: High, CDR: Plummets, NIR: Very High. Population explosion occurs as the death rate drops.

The First Revolution: Public sanitation, improved water supply 💧, sewer systems, and the start of the Industrial Revolution 🏭 provide better nutrition.

Cultural lag: High birth rates persist because large families are still the norm (but the kids now survive!).

Very wide base; classic pyramid. High youth dependency ratio.

LDCs today: Sub-Saharan Africa (e.g., Niger, Somalia, Uganda). Historical: Europe & North America (mid-1700s).

3

Moderate Growth 👩‍🎓

CBR: Plummets, CDR: Continues to fall, NIR: Slows down. The gap closes as birth control becomes common.

Steady improvements in medicine and infrastructure continue to lower the death rate.

The Second Revolution: Urbanization (children are an expense, not farm labor), Women's Education and empowerment 🎒, and widespread use of contraception 💊.

Base narrows significantly; sides become more rectangular (rocket shape).

NICs/Developing Economies: Mexico, India, Brazil, Indonesia.

4

Low Growth 🏡

CBR: Low, CDR: Low, NIR: Near Zero or Zero. The population stabilizes (Zero Population Growth (ZPG)).

CDR increases slightly due to the aging population (natural causes of death among the elderly).

Women are fully integrated into the workforce 💼; high individualism; high cost of raising children; focus on lifestyle and careers.

Pillars or column shape. Large working-age population.

MDCs: US, Canada, UK, China (recently entered Stage 4 due to policy).

5

Decline 📉

CBR: Very Low (TFR < 2.1), CDR: Low (or slightly rising), NIR: Negative. Population begins to decline.

Medical advances prolong life, but the sheer size of the elderly cohort can push the crude death rate up slightly.

Cultural change is difficult to reverse; birth is simply not prioritized; economic certainty may not be enough to incentivize having children.

"Reverse Pyramid" (Tombstone Shape). Base is narrow; middle/top cohorts are the widest. High elderly dependency ratio.

Germany, Japan, Italy, Russia. Example: Japan's population is projected to shrink from 125 million to 88 million by 2065. 🇯🇵


4.2 EPIDEMIOLOGIC TRANSITION MODEL (ETM) 🦠

Learning Objective: PSO-2.E Explain the patterns and characteristics of the stages of the Epidemiologic Transition Model (ETM).

Stage

Cause of Death (Mortality)

Description & Examples

DTM Parallel

1

Pestilence & Famine 💀

Infectious & Parasitic Diseases are the main killers. Food scarcity is common. Life expectancy is very low (30-40 years).

DTM Stage 1

Examples: The Black Plague (Bubonic), Cholera outbreaks, smallpox. Modern Example: Remote parts of Sub-Saharan Africa.

2

Receding Pandemics 💉

Deaths decline rapidly as sanitation improves, public health measures 🏥 take hold, and food supply is more reliable. Mortality shifts from acute (sudden) to chronic.

DTM Stage 2

Examples: The invention of vaccines (e.g., against smallpox), development of antibiotics, mass delivery of clean water 💦 to cities. Example: 19th-century Europe.

3

Degenerative & Human-Created Diseases 🩺

Infectious disease deaths decrease significantly. People live long enough to die from chronic disorders associated with aging and lifestyle.

DTM Stage 3

Examples: Heart disease (cardiovascular issues), various types of cancer, diabetes. These are often linked to diet, smoking, and reduced physical activity.

4

Delayed Degenerative Diseases 🏃‍♀

Life expectancy is extended through medical advancements (chemotherapy, bypass surgery), better diagnosis, and healthier lifestyle choices. The main causes of death are delayed.

DTM Stage 4

Examples: Extensive health campaigns promoting exercise, early detection scans, and advancements in geriatric care. Example: North America and Western Europe today.

5

Reemergence of Infectious Diseases 🌍

A potential stage where infectious diseases return or new ones emerge due to three factors:

DTM Stage 5

1. Evolution: Microbes evolve resistance to drugs (Antibiotic Resistance 🦠). Example: Drug-resistant tuberculosis (TB) and Malaria.

2. Poverty: LDCs lack basic sanitation and treatment, allowing old diseases to thrive. Example: Lack of resources to fight AIDS/HIV in parts of Africa.

3. Increased Travel: New diseases are easily spread through air travel and global trade. Example: The 2019 global spread of COVID-19.


4.3 POPULATION THEORIES AND POLICIES 🧠

Learning Objective: PSO-2.F Explain pronatalist and antinatalist policies and their intended outcomes.

1) Malthus and His Critics

Theory/Viewpoint

Core Argument

Key Concepts

Examples/Evidence

Thomas Malthus (1798) 🍽

Population grows exponentially (geometric), while food grows linearly (arithmetic). Mass starvation is inevitable unless checks (war, disease, famine) intervene.

Geometric Growth: 1, 2, 4, 8, 16... Arithmetic Growth: 1, 2, 3, 4, 5... Preventative Check: Moral restraint, abstinence. Positive Check: War, disease, famine.

Evidence for Malthus: Food and resource scarcity in Stage 2/3 LDCs (e.g., South Sudan currently facing famine).

Malthus's Critics 🌱

Malthus was pessimistic and failed to predict the power of human innovation and changing social behavior.

Green Revolution: New, high-yield seeds and fertilizers dramatically increased agricultural productivity, disproving the food arithmetic prediction.

Example: The development of miracle wheat and rice by Norman Borlaug in the mid-20th century.

Ester Boserup (The Optimist) 💡

A counter to Malthus. Argued that population growth is the cause of agricultural innovation, not the problem. Necessity is the mother of invention.

Technological Optimism: A larger population means more brains to solve problems and a greater need to find solutions.

Example: The invention of the seed drill during the agricultural revolution, or the invention of hydroponics to grow food without soil.

Neo-Malthusians

Malthus was partially right. The problem isn't just food, but the global impact on all finite resources (water, energy, minerals) and the environment (pollution, climate change).

Resource Depletion: High TFRs in LDCs exacerbate resource strain; high consumption in MDCs contributes to environmental damage.

Example: Competition over scarce water resources in the Middle East or rising global oil prices due to high demand.

2) Population Policies: Specific Country Examples

Governments actively manage their demographics, often facing unintended consequences.

  • Antinatalist Policies 👶🚫 (To lower birth rates)

    • China (One-Child Policy, 1979-2016):

      • Mechanism: Forced sterilization, high fines, loss of government benefits for extra children.

      • Intended Outcome: Rapidly curb population growth and poverty.

      • Unintended Consequences: Massive gender imbalance (skewed sex ratio of 120 boys:100 girls) due to sex-selective abortion; creation of a huge future aging population (fewer workers to support the elderly); a cohort of undocumented "black children."

    • India (Family Planning):

      • Mechanism: Focuses on voluntary family planning, education, and subsidized contraception. Has had historical periods of forced sterilization (1970s).

      • Intended Outcome: Education and access leads to informed choices and lower TFR.

      • Unintended Consequences: The past coercive measures led to public distrust of government health programs.

  • Pronatalist Policies 🤰 (To increase birth rates)

    • Japan:

      • Mechanism: Struggling with a high elderly dependency ratio. Policies include paid parental leave 🍼, free childcare, and financial bonuses ("Angel Plan").

      • Intended Outcome: Raise the TFR above the replacement level (2.1) to support the aging population.

      • Consequences: Despite massive spending, the TFR has remained stubbornly low (around 1.3), showing that cultural change is difficult to reverse.

    • Denmark:

      • Mechanism: Running creative campaigns like "Do it for Denmark" (incentivizing citizens to travel and conceive abroad) alongside generous welfare benefits.

      • Intended Outcome: Boost the birth rate.

      • Consequences: These efforts have had some small, short-term successes but have not fundamentally reversed the long-term trend of population stagnation.


CHAPTER 5 - MIGRATION

5.1 FACTORS OF MIGRATION 🚶‍♀🏡

Learning Objective: IMP-2.C Describe the types and historical trends of migration.

1) Push and Pull Factors: Comprehensive Examples

Factor Type

Push Factor (Reason to LEAVE) 📉

Pull Factor (Reason to COME TO) 📈

Economic 💰

High unemployment (e.g., Greece during the 2010s financial crisis). Limited job mobility or low wages.

Perceived Opportunity (e.g., Silicon Valley as a tech hub); availability of guest worker visas (seasonal labor); promise of higher remittances 💸.

Social/Cultural 🏘

Persecution based on race, religion, or gender (e.g., Rohingya Muslims fleeing Myanmar). Lack of access to quality education or healthcare.

Family Reunification (moving to join relatives); Religious Freedom (Mormon migration to Utah 🏜 in the 1840s); presence of an ethnic enclave (Chinatown, Little Havana).

Political 🗳

War, civil unrest, political instability, or oppressive regimes (e.g., Venezuelan exodus due to political and economic collapse; the forced migration of Africans during the slave trade ).

Political stability, democratic governance, protection of rights, and asylum/refugee status granted by a receiving country.

Environmental 🌊

Natural disasters (e.g., Hurricane Katrina forcing internal migration from New Orleans); climate change (rising sea levels in low-lying island nations 🏝); long-term drought (e.g., the Dust Bowl migration in the 1930s USA).

Favorable climate (moving to the Sun Belt of the US); low risk of natural hazards; fertile land/safe environment.


5.2 TYPES OF MIGRATION 🗺 

Learning Objective: IMP-2.D Explain the causes and effects of migration.

1) Categories of Migration
  • Voluntary Migration: Migrant chooses to move, primarily for economic or lifestyle reasons.

    • Historical Example: The large wave of European immigrants to the United States in the late 19th/early 20th century seeking economic opportunity.

  • Forced Migration: Migrant is compelled to move due to political, environmental, or cultural factors.

    • Refugee 🛡: Has crossed an international border and cannot return due to persecution. Example: Syrians fleeing civil war to neighboring countries (Turkey, Lebanon) or Europe.

    • Internally Displaced Person (IDP) 💔: Forced to migrate within the same country. They have not crossed an international border. Example: Over 5 million Ukrainians displaced from the eastern regions to the western regions of Ukraine since 2022.

    • Asylum Seeker: Someone who has migrated to another country hoping to be recognized as a refugee.

2) Internal Migration Patterns
  • Interregional Migration (Region to Region)

    • Example (US): The Great Migration (1910-1970) of millions of African Americans from the rural South to cities in the Northeast, Midwest, and West for industrial jobs and to escape Jim Crow laws.

    • Example (Russia): The Soviet Union forced citizens to move to the Far East to work in resource extraction, a form of government-sponsored interregional migration.

  • Intraregional Migration (Within a Region)

    • Rural-to-Urban (Urbanization) 📈: The single most dominant global trend, especially in LDCs (e.g., peasants moving to Shanghai or Lagos for factory jobs).

    • Urban-to-Suburban (Suburbanization) 🚗: Dominant in MDCs, driven by the desire for larger homes, better schools, and a less stressful lifestyle.

    • Urban-to-Rural (Counter-Urbanization) 🌲: A recent trend in MDCs, where people move from cities to small towns for slower pace of life, often due to remote work capabilities.

3) Zelinsky's Migration Transition Model 🔗

This model links migration patterns to the DTM stages:

DTM Stage

Migration Pattern

Example

1

High daily or seasonal mobility in search of food (nomadism) 🦌.

Historical hunter-gatherer societies.

2

International Emigration (leaving) and Interregional Rural-to-Urban (within the country) are dominant.

19th-century Ireland (emigrating due to famine) or contemporary China (rural to urban factory jobs).

3

High International Immigration (coming in) is common. Intraregional Suburbanization is the main internal move.

United States (major destination for immigrants in the mid-20th century).

4/5

High Intraregional Suburbanization and growing Counter-Urbanization. Net migration may be zero or negative.

Western Europe, where internal movement to suburbs or small towns is common.


5.3 MIGRATION CONSEQUENCES AND MODELS 🌐

1) Ravenstein's Laws of Migration (Key Takeaways)
  1. Distance Decay: Most migrants move only a short distance. Example: A Mexican family moving from a rural town to the nearest large US city (like El Paso or San Diego) rather than to Boston.

  2. Step Migration: Migration occurs in a series of steps (e.g., farm -> small town -> large city).

  3. Urban Focus: Long-distance migrants choose major centers of economic activity.

  4. Flow/Counterflow: Every migration flow produces a counterflow. Example: As Mexicans moved to the US, some Americans moved to Mexico for retirement or lower cost of living.

  5. Gender (Historical Trend): Historically, males were more likely to migrate internationally for work, while females were more likely to migrate internally to cities. Modern Update: Due to women's empowerment, females are increasingly dominant in both international and internal migration flows.

2) Socio-Economic Effects of Migration (Specifics)

Region

Economic Effect

Social/Cultural Effect

Origin (Sending Country) 📤

Positive: Remittances (money sent home by workers) are a major source of foreign income (e.g., Nepal, Philippines). Negative: Brain Drain (loss of highly educated professionals 👩‍⚕/👨‍💻).

Positive: Reduced unemployment and population pressure. Negative: Family separation and aging populations (when working adults leave).

Destination (Receiving Country) 📥

Positive: Migrants often fill low-wage, undesirable jobs and increase the tax base. Negative: Potential social service cost (e.g., providing bilingual education 🏫) and competition for lower-skill jobs.

Positive: Cultural diffusion and the creation of vibrant ethnic enclaves (e.g., Little Italy). Negative: Nativism or Xenophobia (anti-immigrant sentiment), leading to policies like the US's historical Chinese Exclusion Act (1882).

CHAPTER 5 - MIGRATION (EXPANDED DETAIL & 2024 DATA)

5.1 FACTORS AND TYPES OF MIGRATION 🚶‍♀🏡

1) Push and Pull Factors: Comprehensive Examples

Factor Type

Detailed Push Examples (Reason to LEAVE) 📉

Detailed Pull Examples (Reason to COME TO) 📈

Economic 💰

High unemployment (e.g., Greece during the 2010s financial crisis). Limited job mobility or low wages.

Perceived Opportunity (e.g., Silicon Valley as a tech hub); availability of guest worker visas (seasonal labor); promise of higher remittances 💸.

Social/Cultural 🏘

Persecution based on race, religion, or gender (e.g., Rohingya Muslims fleeing Myanmar). Lack of access to quality education or healthcare.

Family Reunification (moving to join relatives); Religious Freedom (Mormon migration to Utah 🏜 in the 1840s); presence of an ethnic enclave (Chinatown, Little Havana).

Political 🗳

War, civil unrest, political instability, or oppressive regimes (e.g., Venezuelan exodus due to political and economic collapse; the forced migration of Africans during the slave trade ).

Political stability, democratic governance, protection of rights, and asylum/refugee status granted by a receiving country.

Environmental 🌊

Natural disasters (e.g., Hurricane Katrina forcing internal migration from New Orleans); climate change (rising sea levels in low-lying island nations 🏝); long-term drought (e.g., the Dust Bowl migration in the 1930s USA).

Favorable climate (moving to the Sun Belt of the US); low risk of natural hazards; fertile land/safe environment.

2) Categories of Migration

Type

Definition

Key Characteristics & Examples

Voluntary Migration

The migrant chooses to move, primarily for economic or lifestyle reasons.

Historical Example: The large wave of European immigrants to the United States in the late 19th/early 20th century seeking economic opportunity.

Forced Migration

The migrant is compelled to move due to political, environmental, or cultural factors.

Example: The Trail of Tears (forced relocation of Native Americans); the Atlantic Slave Trade .

Refugee 🛡

Forced to migrate across an international border due to persecution.

Example: Syrians fleeing civil war to neighboring countries (Turkey, Lebanon) or Europe.

Internally Displaced Person (IDP) 💔

Forced to migrate within the same country. They have not crossed an international border.

Example: Over 5 million Ukrainians displaced from the eastern regions to the western regions of Ukraine since 2022.

Asylum Seeker

Someone who has migrated to another country hoping to be recognized as a refugee.

Key Fact: The number of asylum applications surged in the EU+ during 2024, largely from countries like Syria, Afghanistan, and Venezuela.

5.2 GLOBAL DISPLACEMENT AND MIGRATION TRENDS (2024 DATA)

This data highlights the scale of contemporary forced migration, with IDPs now being the most numerous group of forcibly displaced people worldwide.

Chart 1: Global Forced Displacement Overview (End of 2024)

Category

Total Number (End of 2024)

Key Trend & Primary Driver

Top Country Example

Total Forcibly Displaced

~123.2 Million

Record High. Driven by conflict, violence, and disasters.

N/A

Internally Displaced Persons (IDPs) 💔

~83.4 Million

The largest group; up from 75.9 million in 2023. Conflict in Sudan was the single biggest driver.

Sudan (Record 11.6 Million IDPs)

Refugees 🛡 (Under UNHCR Mandate)

~36.8 Million

More than doubled over the last decade.

Syria (6.1 Million Refugees)


Chart 2: Top Refugee and IDP Origin/Host Countries (2024)

Category

Top 5 Countries of Origin (People Fled From)

Top 5 Host Countries (Refugees Registered In)

Total Refugees (Stock)

1. Syria (6.1M), 2. Afghanistan (5.8M), 3. Venezuela (7.9M displaced globally), 4. Ukraine (5.0M), 5. South Sudan (2.3M)

1. Türkiye (2.9M), 2. Colombia (2.8M Venezuelans), 3. Germany, 4. Pakistan, 5. Iran

Total IDPs (Stock)

1. Sudan (11.6M), 2. Syria (7.4M), 3. Democratic Republic of Congo (DRC), 4. Yemen, 5. Afghanistan

N/A (IDPs remain within their own country's borders)

5.3 MIGRATION MODELS AND ECONOMIC CONSEQUENCES

1) Zelinsky's Migration Transition Model 🔗

DTM Stage

Migration Pattern

Example

1

High daily or seasonal mobility in search of food (nomadism) 🦌.

Historical hunter-gatherer societies.

2

International Emigration (leaving) is dominant and Intraregional Rural-to-Urban (within the country).

19th-century Ireland (emigrating due to famine) or contemporary China (rural to urban factory jobs).

3

High International Immigration (coming in) is common. Intraregional Suburbanization is the main internal move.

United States (major destination for immigrants in the mid-20th century).

4/5

High Intraregional Suburbanization and growing Counter-Urbanization. Net migration may be zero or negative.

Western Europe, where internal movement to suburbs or small towns is common.

2) Ravenstein's Laws of Migration (Key Takeaways)
  • Distance Decay: Most migrants move only a short distance.

  • Step Migration: Migration occurs in a series of steps (e.g., farm -> small town -> large city).

  • Urban Focus: Long-distance migrants choose major centers of economic activity.

  • Flow/Counterflow: Every migration flow produces a return migration (a smaller counterflow).

  • Gender (Modern Update): Due to women's empowerment, females are increasingly dominant in both international and internal migration flows, though historically males dominated international moves.

Common patterns that migrants share (Ravenstein's Laws of Migration)

  • Most move a short distance.

  • Migration goes by steps.

  • Long distance migrants more likely to move to big cities.

  • All migration flows have a counterflow.

  • People of rural areas are more likely to migrate.

  • Men are more likely to migrate long distances while women are more likely to migrate short distances.

  • Migrants are mostly adults not families.

  • Urban areas mostly grow from in migration not nauturally.

  • Migration increases with more transportation and economic opportunities.

  • Mostly from rural to urban.

  • Economic factors are the main cause of migration.

3) Economic Consequence: Remittances

Remittances (money sent home by migrant workers) are a vital part of the global economy, often exceeding Foreign Direct Investment (FDI) in many low- and middle-income countries.

Chart 3: Top Global Remittance Receiving Countries (2024 Estimates)

Rank

Country

Estimated Remittances Received (USD Billions)

Key Insight (Economic Effect)

1

India 🇮🇳

$129.1 Billion

Highest amount globally; funds are primarily from highly skilled workers in the US, Saudi Arabia, and UAE.

2

Mexico 🇲🇽

$68.2 Billion

Second highest; over 95% of transfers come from the U.S. and account for a significant portion of the country's GDP.

3

China 🇨🇳

$48.0 Billion

Significant inflow, but due to China's massive economy, it accounts for less than 1% of its GDP.

4

Philippines 🇵🇭

$40.2 Billion

Critical source of foreign income, often making up over 8% of the GDP due to a large diaspora of Overseas Filipino Workers (OFW).

5

Pakistan 🇵🇰

$33.2 Billion

Major source of income, primarily from Gulf countries, providing critical economic stability.


Region

Economic Effect

Social/Cultural Effect

Origin (Sending Country) 📤

Positive: Remittances are vital for GDP (e.g., Nepal, Philippines). Negative: Brain Drain 🧠 (loss of highly educated professionals 👩‍⚕/👨‍💻).

Positive: Reduced unemployment and population pressure. Negative: Family separation and aging populations (when working adults leave).

Destination (Receiving Country) 📥

Positive: Migrants often fill low-wage, undesirable jobs and increase the tax base. Negative: Potential social service cost (e.g., providing bilingual education 🏫) and competition for lower-skill jobs.

Positive: Cultural diffusion and the creation of vibrant ethnic enclaves (e.g., Little Italy). Negative: Nativism or Xenophobia (anti-immigrant sentiment), leading to policies like the US's historical Chinese Exclusion Act (1882).