Demographic Transition Model
- Since the Industrial Revolution (1850s), no two country's population have changed in the same way
- However, some similarities can be seen in population growth
- These similarities are shown by the demographic transition model (DTM)
- The model illustrates 5 generalised stages of population change that countries pass through as they industrialise
- It shows how birth and death rates change over time and its effects on the overall population
- The gap between the birth rate and death rate is called natural change (either an increase or decrease in population)
Demographic transition model
The demographic transition model shows the transition of the population from high birth and death rates to lower rates over time
Description of DTM
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 |
- The strengths of the model include:
- It can be applied to different settings
- It can help demographers plan for predicted future changes
- The limitations of the model include:
- Developed in 1929, when many countries were still under colonial rule. The model assumes all countries will follow the same pathway through the stages
- It fails to take into account the effects of globalisation, migration, natural disasters, pandemics, wars and government policies that impact birth rates, e.g. China’s one-child policy
- It fails to take into account the decline in fertility rates
- It is too Euro-centric. The model is based on data from 3 countries (England, Wales and Sweden) that industrialised between the 18th and 20th centuries
- It is difficult to apply to LICs that are currently industrialising in a shorter time frame due to globalisation
- Current LICs population change has differences:
- Birth rates in stages 1 and 2 are generally higher in LICs
- Currently only 1 African country (Niger) has a birth rate of 45 /1000 or more
- In 2000, 14 African countries were in this situation
- Death rates have fallen quickly for different reasons
- Availability and use of modern medicine, particularly vaccinations, has lowered mortality rates significantly
- However, AIDS has caused the death rate to rise in some countries, particularly sub-Saharan Africa
- Base populations are different
- With the overall global growth in population, LICs have a much bigger base population to start with, making the impact of high growth bigger in stage 2 and early stage 3
- When India and China entered stage 2, no developed country had a population close to that size
- Fall in fertility rates have been steeper for countries in stage 3
- Mainly due to the availability, reliability and education of modern contraception
- Birth rates in stages 1 and 2 are generally higher in LICs
Differences in demographic transitions
- Not all countries follow the classic model of transition
- France essentially skipped stage 2, as their birth rate declined in line with death rates
- Mexico saw an increase in births in stage 2 as maternal health care improved
- Ireland saw falling birth rates and rising death rates in stage 2 because of emigration after the Great Famine of 1845-9