Unit 2: Population and Migration Patterns and Processes
Unit 2 Big Ideas
- I. How does where and how people live affect global cultural, political, and economic patterns?
- II. How do the interplay of environmental, economic, cultural, and political factors change the population?
- III. How do changes in population affect a place’s economy, culture, and politics?
2.1 Population Distribution
- Essential Knowledge:
- PSO 2A1: Physical factors (e.g., climate, landforms, water bodies) and human factors (e.g., culture, economics, history, politics) influence the distribution of population.
- PSO 2A2: Factors that illustrate patterns of population distribution vary according to the scale of analysis.
- PSO 2B1: The three methods for calculating population density are arithmetic, physiological, and agricultural.
- PSO 2C1: The method used to calculate population density reveals different information about the pressure the population exerts on the land.
- Learning Objectives:
- Identify the factors that influence the distribution of human populations at different scales.
- Define methods geographers use to calculate population density.
- Explain the differences between and the impact of methods used to calculate population density.
I. Factors in Population Distribution
- Physical factors influence population distribution.
- Basic needs:
- Humans need food, water, and shelter to survive.
- Populations develop in proximity to these resources.
- Most people live in:
- Midlatitudes (30N to 60N + 30S to 60S)
- Low-lying areas
- Near sources of freshwater
- Near other valuable resources like minerals, metals, and timber
- Ecumene:
- Refers to the part of the Earth’s surface occupied by permanent human settlement.
- Illustrates the effect of physical features on the location of human settlement.
- Sparsely populated regions include:
- Dry lands (about 20% of Earth’s land)
- Wetlands (rain + heat rapidly deplete nutrients)
- Cold lands (hard on crops, too cold for living)
- Highlands (steep and often snow-covered)
- Human factors influence population distribution.
- Preference for some natural features
- People like to live near friends/relatives and places that they perceive as safe
- Near similar cultural groups
- Near transportation/trade networks
- Near economic opportunities
II. Population Distribution at Various Scales
- Patterns in population distribution can be identified at different scales:
- Global scale
- Regional scale
- National scale
- Local scale
III. Calculating Population Density
- Three methods to calculate population density:
- Arithmetic
- Physiological
- Agricultural
Arithmetic Density
- Calculated by dividing a region’s population by its TOTAL LAND AREA.
- Example: United States
- Approx. 345,426,571 people
- 3,809,525 square miles
- Arithmetic Density = 91 people/square mile
- Does not tell us about population distribution.
- Where do you think has more than 91 people in a square mile?
- Where do you think has a lot less than 91 people in a square mile?
Physiological Density
- Calculated by dividing a region’s population by its amount of ARABLE LAND.
- Example: Egypt
- Approx. 116,791,664 people
- Total land area = 387,050 miles\textsuperscript{2}
- Arable land = 10,837 miles\textsuperscript{2} (3%)
- Arithmetic Density =302 people per mile\textsuperscript{2}
- Physiological Density = 10,777 people/mile\textsuperscript{2} of arable land
- Allows to see:
- A population’s strain on the land/available resources
- A region’s carrying capacity and whether that region can be considered overpopulated
- Carrying capacity: the number of people an area can support without damaging the environment
- Overpopulation: the number of people have exceeded an area’s carrying capacity
- Knowing an area’s carrying capacity and current population is required to identify overpopulated areas
Agricultural Density
- Calculated by dividing a region’s population of farmers by its amount of ARABLE LAND.
- Example: Netherlands
- Total Population = 18,245,187
- Total Land Area = 16,160 mi\textsuperscript{2}
- Total Arable Land = 4,814 mi\textsuperscript{2} (30%)
- Total of farmers = 349,286 (1.9%)
- Arithmetic: 1,129/mi\textsuperscript{2}
- Physiological: 3,790/mi\textsuperscript{2} of arable land
- Agricultural: 73 farmers/mi\textsuperscript{2} of arable land
- Example: Bangladesh
- Total Population = 173,863,205
- Total Land Area = 57,321 mi\textsuperscript{2}
- Total Arable Land = 35,713 mi\textsuperscript{2} (62%)
- Total of farmers = 69,545,282 (40%)
- Arithmetic: 3,033/mi\textsuperscript{2}
- Physiological: 4,868/mi\textsuperscript{2} of arable land
- Agricultural: 1,947/mi\textsuperscript{2} of arable land
- Regions with a LOW agricultural density are likely to be MORE DEVELOPED.
- Farmers in more developed regions have access to advanced agricultural technology that allows for work to be completed by fewer people.
- Regions with a HIGH agricultural density are likely to be LESS DEVELOPED.
- Farmers in less developed regions have little to no access to agricultural technology. Therefore, more human labor is required.
IV. The Impact of Population Densities
- If PHYSIOLOGICAL DENSITY is…
- HIGH:
- There isn’t a high percentage of arable land.
- Where are we getting our food?
- Can we grow enough food to support our population?
- Will we need to buy food from another region?
- LOW:
- There is plenty of arable land.
- What will we do with our agricultural surplus?
- Will we sell it?
- If AGRICULTURAL DENSITY is…
- LOW:
- We need fewer people to participate in farming/agriculture.
- What other jobs might support our population?
- HIGH:
- We need more people to participate in farming/agriculture.
- Will we fall behind in technology/advancements because so many of our people need to help grow our food supply?
2.1 Check for Understanding
- List the human and physical factors that influence population distribution.
- List and describe the 3 methods of calculating population density.
- What can we infer about a country that has a low arithmetic density, a high agricultural density, and a high physiological density?
2.2 Consequences of Population Distribution
- Essential Knowledge:
- PSO 2D1: Population distribution and density affect political, economic, and social processes, including the provision of services such as medical care.
- PSO 2D2: Population distribution and density affect the environment and natural resources; this is known as carrying capacity.
- Learning Objectives:
- Explain how population distribution and density affect society and the environment.
I. Impact of Population Distribution
- Social
- The social services provided are based on the needs of the population.
- A large population provides:
- Social services include public schools, police stations, fire stations, social program offices, etc.
- A more densely populated city will have more public schools, first responders, etc.
- Rural areas have less access to these services/services are more spread out
- Political
- Electoral Districts (Voting Districts) are based on population sizes.
- Districts can be redrawn every 10 years based on collected census data
- As urban populations grow, districts need to be redrawn to include equal populations
- The voting districts in Metro-Atlanta are much smaller in area than voting districts in more rural regions of Georgia
- Economic
- The economy is directly impacted by the size of the local population.
- A large population provides:
- More labor for the workforce
- More people to act as consumers - boosts the economy
- Industries and businesses choose to locate near more densely populated areas
- Environmental
- Larger populations cause a greater strain on the environment
- Overpopulation means a population has exceeded the carrying capacity of the space
- Environmental strain can lead to:
- Air and water pollution
- Depletion of vital resources like fresh water
- Loss of valuable agricultural land
2.2 Check for Understanding
- Describe a political impact of population distribution.
- Describe an economic impact of population distribution.
- Describe a social impact of population distribution.
- Describe an environmental impact of population distribution.
2.3 Population Composition
- Essential Knowledge:
- PSO 2E1: Patterns of age structure and sex ratio vary across different regions and may be mapped and analyzed at different scales.
- PSO 2F1: Population pyramids are used to assess population growth and decline and to predict markets for goods and services.
- Learning Objectives:
- Describe elements of population composition used by geographers.
- Explain ways that geographers depict and analyze population composition.
I. Population Composition
- Ethnicity
- Ethnic groups are often clustered in specific areas due to:
- Immigrants forming ethnic enclaves
- Discrimination of minority ethnic groups
- Historic patterns of forced migration and persecution
- Age and Sex
- Age composition can vary across regions and different scales of analysis
- Average age in the state of Utah - 29-30
- Average age in the state of Maine - 43-44
- Younger populations tend to cluster in urban areas
- Sex/gender composition can vary due to:
- Wars
- Location of military bases and colleges/universities
- Government policies and cultural norms
II. Population Pyramids
- Population pyramids are age-sex composition graphs
- They’re based on percentages of males and females within different age groups in a specific area
- Can be created at various scales - cities, states, regions, countries, etc.
- Population pyramids provide a visual representation of birth rates, death rates, life expectancy, and economic development
- HOWEVER - these EXACT statistics cannot be extrapolated from a population pyramid
- Population pyramids can show evidence of:
- Natural disasters
- Wars
- Political changes/policies
- Epidemics
- Reading a population pyramid
- Vertical axis shows different age groups (cohorts in 5-year intervals - 0-4, 5-9, 10-14, etc.)
- Horizontal axis provides absolute numbers or percentages of males and females in each age cohort
- Males are usually to the left of the vertical axis
- Females are usually to the right of the vertical axis
- Population Trends I
- A wide base that tapers upward shows a high crude birth rate
- As children in the younger cohorts age, they will likely have children and continue the trend of population growth.
- Population Trends II
- A narrow base that expands upward shows a low crude birth rate and high life expectancy
- If this trend continues, the region may experience a decline in total population and consequences of an aging population.
- Impact of War
- Majority of lives lost are generally males from ages 18-40
- Couples delay having children until after war/times of peace and stability
- This can lead to a birth deficit - sudden drop in births
- Boom, Busts, + Echos
- Boom - sudden increase in births
- Occurs during times of peace and stability
- WWII Baby Boom - 1946-65
- Bust - drop in birth rates after a boom
- Echo - a reflection of the boom
- Boom babies reach child-rearing age
- Anomalies
- Populations are typically relatively symmetrical, with a similar distribution of males and females in each age cohort
- An anomaly is something that deviates from what is expected.
- Bars are longer for people ages 18 to 25 than for people younger or older.
- A small city includes a large university.
- A shortage of school funding causes families to move away when they have children.
- Bars are longer for people ages 25 to 50 than for children.
- An economic crisis causes people to decide to have fewer children.
- A government policy to slow population growth discourages births.
- An epidemic causes many infants to die.
- Bars are longer for people over the age of 65.
- A community in a warm climate attracts retirees.
- A lack of jobs causes young people to move away.
- Bars are longer for males than females.
- An oil boom attracts people for jobs that are traditionally done by men.
- Dependency Ratio
- Comparison of potential workforce to the “dependent population”
- Potential workforce - ages 15-64
- Dependent population
- Youth - 0-14
- Elderly - 65+
- Dependency Ratio = dependent population/ potential workforce
- DependencyRatio=potential workforcedependent population
- Example:
- United States
- 0-14: 18.1%
- 15 to 64: 63.4%
- 65+: 18.5%
- Dependency Ratio=63.418.1+18.5=0.57
- Niger
- 0-14: 49.5%
- 15 to 64: 47.8%
- 65+: 2.7%
- Dependency Ratio=47.849.5+2.7=1.09
2.3 Check for Understanding
- Which population statistics are used to create a population pyramid?
- Describe the shape of a population pyramid in a country with rapid population growth.
- Describe the shape of a population pyramid in a country with slow population growth or declining population?
- How do you calculate the dependency ratio? How do you calculate the youth or elderly dependency ratio?
2.4 Population Dynamics
- Essential Knowledge:
- IMP 2A1: Demographic factors that determine a population’s growth and decline are fertility, mortality, and migration.
- IMP 2A2: Geographers use the rate of natural increase and population-doubling time to explain population growth and decline.
- IMP 2A3: Social, cultural, political, and economic factors influence fertility, mortality, and migration rates.
- Learning Objectives:
- Explain factors that account for contemporary and historical trends in population growth and decline.
I. Demographic Factors
- Mortality - a measure of the number of deaths in a particular population per unit of time.
- Crude Death Rate (CDR) - total number of deaths per 1000 people over the age of 1
- Infant Mortality (IMR) - total number of infant deaths per 1000 live births
- Maternal Mortality (MMR) - total number of maternal deaths due to pregnancy or childbirth per 1000 successful pregnancies/births
- Life Expectancy - the average number of years a person is predicted to live
- Each of these factors are indications of a country’s development. A more developed country should have lower CDR, IMR, and MMR, and a higher life expectancy due to access to quality healthcare.
- Fertility - measures the likelihood of population growth through childbirth
- Total Fertility Rate (TFR) - the average number of children a woman is likely to have within her lifetime
- Crude Birth Rate (CBR) - the total number of births per 1000 people
- Rate of Natural Increase (RNI) - the percentage of population increase over 1 year
- Migration
- Immigration - IN migration
- Emigration - OUT migration
- Demographic Balancing Equation
- Find the NET migration by subtracting the emmigration from immigration.
- Demographic Balancing Equation = Current population + (CBR-CDR) + (# of Immigrants - # of Emmigrants)
II. Population Growth + Decline
- Rate of Natural Increase
- Calculating RNI
- Based on CBR and CDR
- RNI = (CBR - CDR)/10 = __%
- This does not include changes to population size due to migration
- Find the RNI of the United States
- CBR: 12.2
- CDR: 8.5
- (12.2-8.5)/10 = 0.37%
- Global RNI ~1.2%
- Based on this RNI, what will the world population be in 1 year?
- Current global population: 8,172,242,415
- Total Pop (RNI) = ____ + Total Pop = Pop in 1 year
- Pop in 1 year = 8,270,309,324
- Doubling Time
- Doubling Time refers to the number of years it will take for a population to double if the RNI remains constant.
- To estimate doubling time, use the rule of 70 or 72.
- Approx. doubling time in years = 70/RNI
- Example: Ivory Coast = 70/2.5(RNI) = 28 years
- Example: United States = 70/0.37(RNI) = 189 years
- Trends in Population Growth + Decline
- Largest population growth in less developed/developing regions
- Population decline is happening in the most developed countries.
- Japan has a growth rate of -0.5
- Some countries in Europe are also trending towards a negative RNI
- Italy: -0.41
- Spain: -0.29
- Germany: -0.31
III. Factors that Influence Demographic Change
- Population Growth + Decline are influenced by:
- Economic Development - greater economic development means access to resources like healthcare, higher education, and employment opportunities
- Education - there is a direct relationship between access to education and a region’s TFR
- Gender Empowerment - regions with greater gender equality have a lower TFR as women are empowered to pursue education and opportunities outside of the home
- Healthcare - quality health care will lead to a decrease in IMR and MMR as well as fewer unplanned pregnancies
- Cultural Traditions - some cultural traditions value larger families
- Public Policy - pronatalist and anti-natalist policies can lead to a rise or fall in RNI
2.4 Check for Understanding
- List and describe the demographic factors that measure a region’s mortality.
- List and describe the demographic factors that measure a region’s fertility.
- Explain the relationship between RNI and Doubling Time.
- Describe 3 factors that influence demographic change.
2.5 The Demographic Transition Model
- Essential Knowledge:
- IMP 2B1: The demographic transition model can be used to explain population change over time.
- IMP 2B2: The epidemiological transition explains causes of changing death rates.
- Learning Objectives:
- Explain theories of population growth and decline.
I. The Demographic Transition Model (DTM)
- “Demographic Transition” refers to changes within a region’s population in response to modernization over time.
- The DTM provides a visual representation of each stage of the DTM.
- A region/country’s stage is dependent on its CBR, CDR, and RNI.
- DTM Stages:
- Stage 1: High CBR, High CDR, Zero/No Growth, None/Isolated Groups
- Stage 2: Rapidly Falling CDR, High CBR, Rapid Growth, Afghanistan/Yemen
- Stage 3: Slowly Falling CDR, Falling CBR, Rapid Growth, India, Mexico, South Africa
- Stage 4: Low CDR, Low CBR, Zero/No Growth, USA, Canada, Brazil
- Stage 5: Below CDR, Low CBR, Negative Growth, Japan, Germany
- Stage 1 Population Pyramid - Niger
- Very few people living to older age cohorts = low life expectancy/high CDR
- Sharp decrease in population as you move into older cohorts = rapid population growth/lack of health care, high number of “preventable deaths”
- Wide base = high CBR
- Stage 2 Population Pyramid - Afghanistan
- More people living to older age cohorts = increasing life expectancy/decreasing CDR
- Gradual decrease in population as you move into older cohorts = rapid population growth/lack of health care, high number of “preventable deaths”
- Wide base = high CBR
- Stage 3 Population Pyramid - India
- More people living to older age cohorts = increasing life expectancy/decreasing CDR
- Very little decrease in population as you move into older cohorts = access to health care increases life expectancy
- Tapering base = decreasing CBR
- Stage 4 Population Pyramid - USA
- Many people living to older age cohorts = increasing life expectancy/low CDR
- Population size is consistent as you move into older cohorts = access to health care increases life expectancy
- Decreasing base = decreasing CBR
- Stage 5 Population Pyramid - Japan
- Many people living to older age cohorts = increasing life expectancy/low CDR
- Majority of population in middle-aged/older age cohorts = “aging population”
- Consistently decreasing base = CBR has fallen below the CDR
II. The Epidemiological Transition Model (ETM)
- Epidemiology is the study of diseases and other factors related to health.
- The ETM is divided into 5 stages that correspond with the 5 stages of the DTM.
- Shows us the primary cause(s) of death at each stage of development.
- ETM Stages:
- Stage 1: Pestilence + Famine, High CDR
- Stage 2: Receding Pandemics, Rapidly Falling CDR
- Stage 3: Degenerative Diseases, Slowly Falling CDR
- Stage 4: Delayed Degenerative Diseases, Low/Stable CDR
- Stage 5: Reemergence of Infectious/Parasitic Diseases, Low/Stable CDR
- Stage 1: Pestilence + Famine
- CDR: HIGH
- Causes of death: Diseases and famine are leading causes of death in Stage 1 country. Quality health care is not yet available. Populations are dying of diseases we’re now able to prevent/contain.
- Example: The Black Plague decreased Europe’s population by 50%. The Black Plague is now treatable and does not spread thanks to improved health care and medical knowledge.
- Stage 2: Receding Pandemics
- CDR: Rapidly Declining
- Causes of death: Pandemics devastate cities thanks to rapid urbanization increasing population density in urban areas.
- Example: Cholera severely impacted London in the 1850s and Haiti in 2009.
- Stage 3: Degenerative Diseases
- CDR: Slowly Declining
- Causes of death: Cause of death is now related to age. Populations are now living long enough to experience diseases and conditions that are a result of the aging body.
- Examples: Heart Disease, many Cancers
- Stage 4: Delayed Degenerative Diseases
- CDR: Low/Stable
- Causes of death: Cause of death is now related to older age. Populations are now living long enough to experience diseases and conditions that are a result of the aging body and lifestyle choices.
- Examples: Heart Diseases, Cancer, Alzheimer's, Stage 2 Diabetes
- Stage 5: Reemergence of Infectious/Parasitic Diseases
- CDR: Low/Stable
- Causes of death: Diseases that have been contained using vaccines and antibiotics are mutating/evolving and reemerging due to resistance. Additionally, globalization leads to stronger connections between distant places and increases interaction between different groups of people.
- Example: Tuberculosis cases are increasing in impoverished countries.
2.5 Check for Understanding
- How do CBR and CDR change within each stage of the DTM?
- List one group/country that falls within each stage of the DTM.
- What are the primary causes of death at each stage of development (according to the ETM)?
2.6 Malthusian Theory
- Essential Knowledge:
- IMP 2B3: Malthusian theory and its critiques are used to analyze population change and its consequences.
- Learning Objectives:
- Explain theories of population growth and decline.
I. Malthusian Theory
- Thomas Malthus - an English economist and demographer who lived from 1766 to 1834
- Developed a theory about the relationship between population growth and available food supplies.
- Malthusian Theory
- Humans need food to survive.
- Food production increases arithmetically.
- Human population increases geometrically (exponentially)
- Malthus theorized that the population growth will outpace food supply and as a result, the environment will produce natural “checks” to population growth through famine.
III. Malthusian Theory - Criticisms
- Malthus’ theory has been criticized for not considering Human Possibilism.
- Humans have developed technology to increase agricultural yield in order to meet the needs of the growing global population.
- Malthus also did not predict that families in more developed regions would choose to have fewer children.
- Ester Boserup was a Danish economist who lived from 1910 to 1999.
- She proposed an alternative theory that more humans also means more hands to contribute to agriculture, not just more mouths to feed.
IV. Neo-Malthusians = “New” Malthusians
- Neo-Malthusians adopted Malthus’ original theory but applied it to concerns regarding ALL necessary resources, not just food.
- Population growth will outpace our supply of food, fresh water, coal, petroleum, timber, etc.
2.6 Check for Understanding
- Describe Malthusian Theory.
- Why is Malthus’ Theory criticized? What did he not account for when developing his predictions?
- What do Neo-Malthusians believe?
2.7 Population Policies
- Essential Knowledge:
- SPS 2A1: Types of population policies include those that promote or discourage population growth, such as pronatalist, antinatalist, and immigration policies.
- Learning Objectives:
- Explain the intent and effects of various population and immigration policies on population size and composition.
I. Population Policies
- Governments may choose to implement population policies in order to control the growth/size of a population. Policies can include:
- Anti-natalist Policies
- Pronatalist Policies
- Immigration Policies
A. Anti-natalist Policies
- Policies that are designed to discourage large family sizes in order to slow the rate of population growth. Anti-natalist policies can include rewards as well as consequences and might include:
- Increasing access to family planning services/resources
- Empowering women to pursue education and economic opportunities outside of the home
- Government-funded childcare, parental leave, or college tuition for families with fewer children
- Families with more children may be required to pay a fine or pay higher taxes
- Families with fewer children may receive a tax break
- Families who have more than the maximum number of children may face legal consequences
- Media/Propaganda that criticizes large families or praises small families.
- Examples:
- India
- India was considered a Stage 1 country until the 1940s due to their persistent rapid population growth.
- Anti-natalist policies included:
- Providing easy access to contraception (birth control)
- Providing financial compensation to women in exchange for sterilization
- Increasing access to education regarding women’s health.
- Consequences of policies
- CBR decreased, RNI decreased
- Overall population did not decline but rate of population growth decreased
- China
- China’s “One Child” Policy
- 1980 - 2016
- Majority of families were limited to one child
- Violations resulted in significant fines and social consequences
- Some ethnic minorities were permitted to have up to 2 children.
- Consequences of policies
- CBR decreased, RNI decreased
- Overall population did not decline but rate of population growth decreased
- A cultural preference towards sons led to many daughters being abandoned or put up for adoption
B. Pronatalist policies
- Policies that are designed to encourage large family sizes in order to increase the rate of population growth. Pronatalist policies can include rewards as well as consequences and might include:
- Decreasing access to family planning services/resources
- Pressuring women to forgo education or economic opportunities outside of the home
- Government-funded childcare, parental leave, or college tuition for families with more children
- Families with more children may be receive a monetary reward or tax break
- Families with fewer children may be required to pay higher taxes
- Media/Propaganda that criticizes small families or praises large families.
- Examples:
- Singapore
- Concern for “aging population” led to the implementation of pronatalist policies after 1987.
- Pronatalist policies include:
- Increased maternity leave
- Media promoting large families
- Limited access to family planning
- Government-funded child care and education
- Government-funded dating agencies
- Post-War Germany + Soviet Union
- Devastation to the male population led to pronatalist policies to rebuild populations.
- Pronatalist policies included:
- Media promoting large families
- Limited access to family planning
- Government-funded child care and education
- Monetary rewards + medals for mothers of multiple children
C. Immigration Policies
- Some countries encourage immigration, others discourage immigration.
- Policies that encourage immigration:
- Guest worker programs
- Family reunification policies
- Pathways to residency
- US’ Homestead Act of 1862
- Claim a plot of land, work the land for 5 years to contribute to food supply, and you’ll be given ownership of your land.
- Countries may choose to encourage immigration because they:
- want to diversify their population
- need to increase their workforce in order to support the economy
- want to attract talented and educated individuals from other countries
- Policies that discourage immigration:
- Requiring a specific level of education
- Restrictions on type of work that warrants a work visa
- Quotas - a numerical limit on the number of immigrants per year
- Countries may choose to discourage immigration because they:
- they want a culturally homogenous population
- they are struggling to meet the needs of their current population
- Xenophobia - the intense fear of persons from a different cultural group - can result in persecution, discrimination, or anti-immigrant policies
2.7 Check for Understanding
- Define anti-natalist policy. What are some examples of anti-natalist policies?
- Define pronatalist policy. What are some examples of pronatalist policies?
- Define immigration policy. What are some examples of policies that encourage immigration? Discourage immigration?
2.8 Women and Demographic Changes