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Demographic Transition Model (DTM)
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Key Vocabulary Crude Birth Rate (CBR) Crude Death Rate (CDR)
Natural Increase Rate (NIR) Also RNI Total Fertility Rate (TFR) Infant Mortality Rate (IMR) Life Expectancy Doubling Time
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Defined CBR: total number of live births in a year for every 1,000 people alive in the society CDR: the total number of deaths in a year for every 1,000 people alive in the society NIR: the percentage growth of a population in a year, computed as the crude birth rate minus the crude death rate TFR: the average number of children a woman will have throughout her childbearing years IMR: the total number of deaths in a year among infants under 1 year old for every 1,000 live births in a society Life Expectancy: the average number of years an individual can be expected to live, given current social, economic & medical conditions. Life expectancy at birth is the average number of years a newborn infant can expect to live. Doubling Time: The number of years needed to double a population, assuming a constant rate of natural increase
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Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one.
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Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 1. Birth and death rates are both high, leading to a low but stable population. High fluctuating UK pre 1760/Industrial Revolution. Remote tribal groups presently.
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Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 2. Birth remain high but now death rates start to fall dramatically, leading to a rising population. Early expanding UK pre Peru/Sri Lanka/Kenya presently.
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Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 3. Birth start to fall now and death rates continue to fall, causing the population to continue to rise but less quickly now as the gap between births and deaths is closing. Late expanding UK China/Cuba/Australia presently.
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Population Demographic transition model The demographic transition model shows how a population will change over time as it changes from an agrarian society to an industrial, and post-industrial one. Stage 4. Birth and death rates are now both low, causing the population to be more stable but high. Low fluctuating UK post 1940 Canada/USA/Japan.
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Stage 1 – High Fluctuating
High CBR High CDR Reasons: High IMR Lack of family planning Need for workers Children are economic assets(support parents) Religious beliefs Roman Catholics Muslims Hindus Reasons: Disease Famine War Poor hygiene & sanitation Lack of healthcare Lack of education
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Population Demographic transition model Stage 1. Natural increase (population growth) is low because although there are a lot of births the similarly high number of deaths effectively cancels them out, leaving a low but stable population.
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Stage 2 – Early Expanding
Same reasons as Stage 1 High CBR Declining CDR Reasons: Improved healthcare Improved sanitation Improved food production Decreasing IMR Outside stimulus
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Population Demographic transition model Stage 2. Natural increase (population growth) is high because there is now a large gap between births and deaths, increasing the population rapidly.
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Stage 3 – Late Expanding Same reasons as Stage 2 Declining CBR
Declining CDR Reasons: Changing status of women Cairo Conference Availability of family planning Lower IMR Increased standard of living Better technology = lower demand for workers Welfare/Retirement
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Population Demographic transition model Stage 3. Natural increase (population growth) remains high due to the gap between births and deaths but as this stage the increase slows as births and deaths match up again.
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Stage 4 – Low Fluctuating
Stage 4…and 5? Stage 4 – Low Fluctuating Stage 5 CBR & CDR are low Population is stable CBR drops below CDR Population starts to decrease Officially only 4 stages Not part of the original DTM, but some geographers have added it So if there is 5, why not 6?
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Population Demographic transition model Stage 4. Natural increase (population growth) is again low as births and deaths virtually cancel each other out, but now the population is high..
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Population Concentrations
East Asia South Asia Europe Southeast Asia Northeast North America West Africa
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East Asia Eastern China, Japan, Korean peninsula & Taiwan
¼ World’s Population 5/6 live in PRC China: ½ of population work as farmers (rural) Japan & Korea 40% live in 3 major cities (Tokyo, Osaka, & Seoul)
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South Asia India, Pakistan, Bangladesh & Sri Lanka ¼ World Population
¾ live in India Most are farmers in rural areas
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Europe 3rd Largest (including European portion of Russia)
1/9 of world population ¾ live in cities > 10% farmers
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Southeast Asia Indonesia, Papua New Guinea & Philippines
Largest = Java = 100 million Most work as farmers in rural areas
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Emerging Population Concentrations
Eastern North America West Africa NE U.S. & SE Canada 2% of the world’s population Most urbanized concentration >2% farmers West Africa, including south facing coast & Nigeria 2% of the world’s population Nigeria = most populous African nation, ½ of this concentration Most work in agriculture
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Population Density Arithmetic Density Physiological Density
Agricultural Density
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Arithmetic Density “The total number of people divided by the total land area” Pros Easy to compare Cons Tells us “where,” but not “why”
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Physiological Density
“The number of people per unit of area of arable land, which is suitable for agriculture” Pros More meaningful Cons Higher = more pressure to produce more food
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Agricultural Density “The ratio of the number of farmers to the total amount of land suitable for agriculture” MDCs Lower agricultural density Fewer farmers, more extensive areas Due to better technology & finances
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Overpopulation Carrying Capacity is the ability of a resource base to sustain a population Overpopulation Too many people compared with the resources of region/country
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Thomas Malthus Thomas Malthus Theory English economist
Determined the world’s rate of population increase was higher than the development of food supply Theory Population grows geometrically Food grows arithmetically
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Neo-Malthusians Argue that recent growth is worse than Malthus projected Malthus’ theory is almost 200 years old Many LDCs are progressing due to help from MDCs rather than progressing on their own Bigger gap between population & resources World population is outpacing other resources other than just food Environmental destruction Lack of land Non-renewable energy
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Critics Possibilism Technology Growth = more production
Growth = more new inventions
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Population Pyramids: How they work…
Males on the left, females on the right Youngest on the bottom (0-4), oldest on the top (100+) Generally done as a percentage of the population, sometimes as total numbers Shape of the pyramid is generally shaped by the CBR in a country
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Population Pyramids & DTM
Population Pyramids and the DTM can generally by applied together Certain shapes have been associated with specific stages of the DTM
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Pyramid for Stage 1 Wide base = very high birth rate
Narrows very quickly = high death rate Very few reach old age
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Pyramid for Stage 2 Wide base = High birth rate
Wider & taller = people living longer
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Pyramid for Stage 3 “Domed” shape = more people living to be older
Proportionately fewer births
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Pyramid for Stage 4 Small base, small top Bulge in the middle
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All four Stages Convex Profile Concave Profile
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8 Great Modern Migrations
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Ravenstein’s Laws of Migration
British sociologist (1834 – 1913) Laws of Migrations: Most migrants go only a short distance Distance Decay Most migrations proceed step-by-step (Lee’s Model) If they do move a long distance, they are more likely to travel to a big city (Gravity Model) Every migration flow produces a counterflow Rural migrants move to city; city dwellers move to suburbs Most migration is from rural to urban Families are less likely to make international moves than young adults Most international migrants are young males Changed with time; women comprise 40-60% of International migrants (55% of U.S. migrants)
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Types of Migration Voluntary Migration Forced Migration
Choose to migrate Remember Must be permanent If they return (guest workers, time-contract workers) they are not included in these numbers a.k.a. Involuntary migration Examples: Triangle Trade Atlantic Arm Native American relocation in Great Plains region of U.S.
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Global Migration Trends
From less-developed Stage 2 countries To more-developed Stage 4 countries 3 largest migration flows Asia to Europe Asia to North America Latin America to North America Net In Migration: Europe, North America & Oceania Net Out Migration: Asia, Latin America & Africa
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U.S. Immigration Trends 3 Phases American colonies
European settlement, mainly British African slaves Nineteenth-Twentieth Century : Western Europe 1880s: Northern Europe Beginning of Twentieth Century: Southern & Eastern Europe 2nd Half of Twentieth Century Latin America & Asia Periods of Decline U.S. Civil War, 1893 Depression, WWI, Great Depression, WWII
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Key Terms Defined Push Factor: Factor that induces people to leave old residences. Pull Factor: Factor that induces people to move to a new location. Intervening Obstacle: An environmental or cultural feature of the landscape that hinders migration. Intervening Opportunity: A favorable environmental, economic or cultural feature that redirects migration.
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Lee’s Model of Migration
Destination Source Region Push Factors 1. 2. 3. 4. 5. 6. 7. 8. Pull Factors 1. 2. 3. 4. 5. 6. 7. 8. Intervening Obstacle Migration
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Push/Pull Factors Economic Environmental Cultural
Economic & Environmental push/pull factors are generally associated with voluntary migration. Cultural push/pull factors are generally associated with forced migration Note: people tend to move on excessively positive images/expectations that may not always be accurate
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Push/Pull Factors Push Factors Pull Factors Economic Environmental
Poverty Few job opportunities Low wages Environmental Hazardous regions Adverse physical conditions Too little water/too much water Cultural Slavery Political instablity Religious/ethnic persecution (refugees) Economic Higher standard of living More job opportunities Higher wages Environmental Stable climates Cultural Stable political conditions
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Intervening Obstacle/Opportunity
Examples of Obstacles Environmental Mountains, rivers, bodies of water, etc. Cultural Passport to leave/visa to come in Economic Run out of money Examples of Opportunities New jobs along migration route Jobs created to divert rivers for irrigation (economic as well) Move into an ethnic enclave along route
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Practical Application of Lee’s Model
Source Region Destination Region Return Pull Factors + Push Factors - Intervening Obstacle Pull Factors + Push Factors - Migration Few Arrive Many leave Intervening Opportunity Other Destination
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Background Interaction is proportional to the multiplication of the two populations divided by the distance between them (distance decay); based on Newton’s Law of Gravity
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