Models of Population Change (AQA A Level Geography)

Revision Note

Robin Martin-Jenkins

Written by: Robin Martin-Jenkins

Reviewed by: Bridgette Barrett

Demographic Transition Model

The Demographic Transition Model

  •  The demographic transition model describes how, as countries develop, changes in birth and death rates subsequently affect population

    • The original model was devised in 1929

    • It showed how Western Europe and North America had gone through four stages of change since the start of the industrial revolution

    • A fifth stage has been added to a more recent version of the model

  • Strengths of the model include:

    • It can be easily applied to different settings 

    • It can help demographers plan for predicted future changes

  • Limitations of the model include:

    • It fails to take into account migration, natural disasters, pandemics, wars and government policies that impact birth rates, e.g. China’s one-child policy

    • It is based on countries in Western Europe that industrialised between 1800-1950

      • So it is harder to apply to newly emerging economies today that are industrialising in shorter time-frames due to globalisation

demographic-transition-model
The Demographic Transition Model and Explanations of Population Change

Stage

1

2

3

4

5

Stage Name

High stationary

Early expanding

Late expanding

Low stationary

Decline

Population Change

Stable

Very fast natural increase

Increase slows

Very slow increase

Natural decrease

Birth Rate (BR)

High  (~35/1000)

High (~35/1000)

Falls quickly (to ~15/1000)

Falls further and remains low (to ~10/1000)

Falls very low and below DR

Explanation of BR Change

Lack of birth control; poor education around family planning; lots of children born to replace those that die due to high infant mortality rates; children needed to help work on the land

Improvements in family planning, birth control and infant mortality rates

Further availability of contraception and career advancement for women so children turn from economic asset to burden

More elderly population so smaller proportion of women of reproductive age

Death Rate (DR)

High (~35/1000)

Falls quickly
(to ~15/1000)

Still falling but slower
(to ~10/1000)

Low 
(~10/1000)

Climbs slightly higher than BR

Explanation of DR Change

Poor medical care, lack of sanitation, poor diets and high rates of disease

Improved sanitation, medical care and food and water supply 

Reliable food supply and healthcare established

The ageing population has a higher proportion of people reaching life expectancy

Application of Model to Contrasting Contemporary Settings

Remote tribal groups in Amazon rainforest

Poorest LICs, such as Gambia, Mali, and Niger. E.g., in 2022, Niger’s BR was 44/1000 and its DR was 7.5/1000, suggesting it is at the end of stage 2

Fast-industrialising countries such as India, Brazil, and Mexico.
For example, in 2022, Mexico’s BR was 16/1000 and its DR was 9/1000, suggesting it is near the end of stage 3

HICs such as the UK, USA, and France.
E.g., in 2022, France’s BR was 10.9/1000 and its DR was 9.5/1000, suggesting it is near the end of stage 4

Very highly developed countries, such as Japan.
E.g., in 2022, Japan’s BR was 7/1000 and its DR was 12/1000, suggesting it is in stage 5

Examiner Tips and Tricks

There is lots to unpack with the demographic transition model, as it says so much about how population is affected by various factors. Be sure to have examples of how the model applies to different countries at different stages of development, to use in exam answers about population change over time and space. The reasons why population is changing in a stage 5 country, like Japan, will be very different from those in a stage 2 country, like Niger.

Population Structure

Population Structure

  • Another factor of population change is population structure, sometimes known as the age-sex composition

    • Can be shown in a population pyramid

population-structure-2
Features of a Population Pyramid
  • Population pyramids of places change over time

    • They show a place’s population structure at one point in time

    • The shape of the pyramid changes as a country moves through the stages of the demographic transition model

population-structure-1
Application of Population Pyramids to Different Stages of the Demographic Transition Model

Examiner Tips and Tricks

Although an exam question won’t directly ask you for a sketch or diagram, a quick annotated sketch of the shape of the population pyramid of any country you are writing about can be an effective way of getting lots of points across in a short space of time, and this is a valid exam technique.

Demographic Dividend & the Dependency Ratio

  • The Demographic Dividend describes how when a country’s dependency ratio falls quickly it goes through a period of fast economic growth

  • Population structures and pyramids can be divided into three age-group categories, depending on level of economic activity

    • Young dependents - from 0-14 years, they rely on their economically active parents to support them

    • Economically active - from 15-64 years, they are the working population who earn income, pay taxes and contribute to the support of the young and elderly

    • Elderly dependent - from 65 years onwards, they are no longer economically active and so rely on support from the state and younger family members

  • The amount that the young and elderly dependent population of a place depend on the economically active population can be measured 

    • This is expressed as the dependency ratio. 

bold italic d bold italic e bold italic p bold italic e bold italic n bold italic d bold italic e bold italic n bold italic c bold italic y bold space bold italic r bold italic a bold italic t bold italic i bold italic o bold space bold equals bold space fraction numerator bold young bold space bold dependents bold space bold plus bold space bold old bold space bold dependents over denominator bold working bold space bold population end fraction bold space bold cross times bold space bold 100

  • The dependency ratio tends to be:

    • Very high in LICs in stage 2 of the demographic transition model

      • Due to youthful population structure with many young dependents

      • E.g. in Niger the figure was 105 in 2021. This means for every 100 people of working age, 105 economically inactive young and elderly depend on them

    • High in advanced HICs in stage 4 and 5 of the demographic transition model

      • Due to a large elderly dependent sector of the population

      • E.g. in Japan the figure was 57 in 2021

    • Lower in newly emerging economies in stage 3 of the demographic transition model

      • Due to few elderly dependents because previously there was low life expectancy

      • Also due to small number of young dependents because birth rates are falling

      • E.g. in Mexico the figure was 48 in 2021

  • Countries going from stage 2 to 3 with falling dependency ratios have a chance of an economic boost due to the demographic dividend

    • This also requires political stability and investment in education and jobs

    • Examples include the Tiger economies of south-east Asia, as well as the BRIC countries

Examiner Tips and Tricks

In 4 mark questions, make sure you include four separate points to gain the marks. It might be a good idea to write a fifth point in addition if you can, to cover yourself in case one of your other points is weaker.

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Robin Martin-Jenkins

Author: Robin Martin-Jenkins

Expertise: Geography Content Creator

Robin has taught Geography at a number of UK secondary schools over the past 13 years, alongside various pastoral roles. He fell in love with Geography whilst at school and has been a passionate advocate of its importance and relevance ever since. He currently works in an independent secondary school where his teaching is combined with mentoring of younger teachers.

Bridgette Barrett

Author: Bridgette Barrett

Expertise: Geography Lead

After graduating with a degree in Geography, Bridgette completed a PGCE over 25 years ago. She later gained an MA Learning, Technology and Education from the University of Nottingham focussing on online learning. At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence.