What Is Population Growth Driven By?
- At any scale (a city, a country, or the world), three processes drive this change:
- Births (adding people)
- Deaths (removing people)
- Migration (moving people into or out of a place)
- Although the world population grew slowly for most of human history, it has risen rapidly in recent centuries and was about 7.5 billion at the time of the source text.
- Crucially, growth is uneven: different regions and countries experience different rates and different consequences.
Population growth
How the size of a population changes over time.
How Do Population Measures Let You Describe And Compare Places?
- To understand why populations grow at different speeds, geographers and social scientists use a set of standard measures.
- These indicators help describe population change and support predictions and planning.
Birth Rate
The number of live births per 1000 people per year.
Death Rate
The number of deaths per 1000 people per year.
Natural increase
Natural increase is the difference between the crude birth rate (CBR) and the crude death rate (CDR), expressed as a percentage.
Total Fertility Rate (TFR)
The total fertility rate (TFR) is the average number of children a woman is expected to have during her reproductive years (ages 15–49), also called childbearing age.
The TFR of 2.1 is called a replacement rate - rate that allows to maintain the same population size over time.
Infant Mortality Rate
The number of deaths of infants under one year old per 1,000 live births in a given year.
Life Expectancy
Average number of years a person is expected to live based on current mortality rates.
Dependency ratio
The dependency ratio is a measure of the proportion of dependents (people under 15 and over 64) to the working-age population (15–64 years). It is calculated as:
Why Birth Rate and TFR aren't the same
- A birth rate counts births against the entire population, including many people who can't have children like men, children, and older adults.
- This makes it useful for quick, headline comparisons, but less helpful for understanding how many children families actually have.
- Total fertility rate (TFR) on the other hand looks only at women of child-bearing age and estimates the average number of children per woman over her lifetime.
- Because it focuses on those who can give birth, TFR gives a clearer picture of family size and is a better indicator of long-term population change.
- Understand that a country can have a relatively low birth rate but still a high TFR if it has a small share of women of childbearing age (for example, an aging population).
- Likewise, a youthful population can have a high birth rate even if TFR is falling.
How Is Natural Increase Calculated?
- Natural increase begins as a difference "per 1,000 people."
- It's often converted into a percentage growth rate so it can be compared more easily between places and over time.
- If a country has a birth rate of 12 per 1,000 and a death rate of 10 per 1,000:
- Natural increase $= 12 - 10 = 2$ per 1,000
- As a proportion this is $\frac{2}{1000} = 0.002$
- As a percentage this is $0.002 \times 100\% = 0.2\%$
A quick shortcut is:
$\text{Natural increase (%) } \approx \frac{\text{Birth rate} - \text{Death rate}}{10}$
because "per 1,000" becomes "per 100" when you divide by 10.
- Natural increase doesn't include migration.
- A country can have low or even negative natural increase but still grow overall if it has net immigration.
How Do Development Patterns Help Explain Differences In Growth Rates?
- Population growth is not equally distributed.
- Many higher-income countries (often described as more economically developed) have low population growth because both birth rates and death rates are low.
- Death rates tend to be low when health care, education, sanitation, and nutrition are strong.
- Birth rates tend to be lower when people have:
- Reliable access to contraception
- Lower infant mortality (parents feel more confident their children will survive)
- Higher female education and improved gender equality, which often links to later marriage and later first births
- These factors do not operate in isolation.
- For example, improved medical care can lower infant mortality (reducing deaths) while also contributing to changing family decisions (reducing births).
- A low death rate does not mean a country has "no health challenges."
- If most deaths occur at older ages, life expectancy increases, but societies may face higher costs for elderly care and pensions.
What Are Population Pyramids?
- A population pyramid is a bar chart that displays the age and sex structure of a population.
- Typically:
- The vertical axis shows age groups
- The left side shows males, the right side shows females
- The width shows the size of each age group
- Age structure matters because it strongly influences:
- Future births (how many people are entering childbearing ages)
- Demand for schools, jobs, and housing
- Health care and pension costs
- The dependency ratio
Reading a pyramid for growth clues
- An expansive pyramid (wide base) usually suggests high birth rates and a young population.
- Even if birth rates start to fall, a very large number of young people can create continued growth because many will soon become parents.
- This is often called population momentum.
- A constrictive pyramid (narrow base, wider middle/top) suggests low birth rates and an aging population.
- Growth slows, and the total population may eventually shrink unless offset by net immigration.
For a fast comparison, look at the bottom two age bands (0–4 and 5–9). A rapid narrowing from one band to the next often signals falling fertility.
How Do Governments Use Population Policies To Manage Growth?
- Because population change affects schooling, employment, housing, and health services, governments sometimes introduce population policies to influence fertility.
- Pro-natalist policies aim to increase births (for example, child benefits, parental leave, subsidized childcare).
- Anti-natalist policies aim to decrease births (for example, incentives for smaller families, later marriage campaigns, or limits on family size).
China's One Child Policy (Anti-Natalist)
- Policy goal and short-term success
- Introduced in 1979 to reduce rapid population growth.
- Families were limited to one child, with fines and incentives used to enforce compliance.
- Fertility rates fell sharply, helping slow population growth and reduce pressure on food supply, housing, and public services.
- Unintended demographic consequences
- Over time, China developed a rapidly ageing population, with a growing proportion of elderly people.
- Fewer young people entered the workforce, leading to concerns about labour shortages and reduced economic growth.
- A strong cultural preference for sons, combined with birth limits, contributed to a skewed sex ratio, with significantly more males than females in some regions.
- Long-term social and economic pressures
- A shrinking workforce must support a larger retired population, increasing strain on pensions and healthcare systems.
- Gender imbalance has been linked to difficulties forming families and social instability in some areas.
- These pressures reduced the policy’s overall sustainability, leading China to relax it first to a two-child policy, and later to a three-child policy.
- Key insight
- The one-child policy achieved its short-term objective of slowing population growth.
- However, it also shows how policies that focus narrowly on one outcome can create long-term demographic and economic challenges if wider social effects are not considered.
China’s Shift From Population Control To Pro-Natalism
- The new problem
- Birth rates continued to fall even after the policy was relaxed to two children in 2016.
- A shrinking workforce threatened long-term economic growth.
- Fewer young people increased pressure on pensions, healthcare, and elder care.
- Recent pro-natalist policies (2021–present)
- China introduced a three-child policy in 2021.
- This was supported by incentives such as:
- Tax breaks and cash subsidies for families
- Extended maternity and paternity leave
- Childcare support and housing benefits in some cities
- Penalties for having additional children were removed.
- Limited impact so far
- Despite incentives, fertility rates remain low.
- High living costs, long working hours, housing prices, and education pressure discourage large families.
- This shows that policy permission alone does not change behaviour if social and economic conditions remain restrictive.
- What this progression shows
- China’s experience demonstrates a full policy cycle:
- Population growth seen as a problem → restricted births
- Low birth rates become a problem → encouraged births
- Both phases show that demographic behaviour is shaped by economics, culture, and norms, not just government rules.
- China’s experience demonstrates a full policy cycle:
- When evaluating a population policy, structure your response around:
- The original population issue (high or low fertility),
- The strategies used,
- Evidence of success or failure,
- Unintended consequences (social, economic, political, and ethical).
What Does Rapid Growth Have To Do With Urbanization And Megacities?
- Population growth and migration can accelerate urbanization, the growth of the urban population.
- One major outcome is the development of megacities, defined as cities with more than 10 million people.
- In the early 1970s only Tokyo and New York were megacities (with Mexico City joining in 1975).
- By 2017 there were 37 megacities, and the UN projects 41 by 2030, with many of the largest in Asia.
Consequences for individuals and societies
Megacity growth can bring opportunities and pressures at the same time.
- Potential benefits include:
- More jobs and higher incomes for some migrants
- Better access to specialized education and health care
- Cultural diversity and innovation
- Potential challenges include:
- Housing shortages and the growth of informal settlements
- Congestion, pollution, and strain on water and energy supplies
- Inequality, with sharp contrasts between wealthy and poor neighborhoods
- What are the three core processes that drive population change at any scale?
- How is natural increase calculated, and why does it exclude migration?
- Why is the Total Fertility Rate (TFR) considered a better predictor of long-term trends than the Birth Rate?
- What does the dependency ratio measure, and how is it calculated?
- In a population pyramid, what does a narrow base compared to a wide middle/top suggest about the country’s birth rates?
- What is the difference between pro-natalist and anti-natalist policies?
- Beyond legal permission, what social and economic factors often prevent pro-natalist policies from succeeding?
- What are the primary benefits and challenges associated with the growth of megacities?