What is demographic data?
In Measuring Development you used numbers such as GDP per capita and the Human Development Index to compare countries. Demographic data gives us another set of clues. It is information about the people in a country: how many are born, how many die, and how old they are. This lesson shows how that data changes as a country develops.
You already know birth rate, death rate and natural increase from Why Cities Grow at Different Speeds. Remember, natural increase is the birth rate minus the death rate. Here we use them to compare levels of development.
Key terms:
- Demographic data: numbers about a population, such as births, deaths and age groups.
- Fertility rate: the average number of children born to each woman in a country.
- Infant mortality rate: the number of babies who die before their first birthday, for every 1,000 babies born alive.
- Maternal mortality rate: the number of women who die from causes linked to pregnancy and childbirth, for every 100,000 babies born alive.
- Population structure: the make-up of a population by age and sex, shown on a population pyramid.
Fertility, death rates and natural increase
The figures below are invented to show the typical pattern. Kelvania is a high-income country and Tarnova is a low-income country.
- Fertility rate (children per woman): Kelvania 1.6; Tarnova 5.2
- Birth rate (per 1,000): Kelvania 10; Tarnova 38
- Death rate (per 1,000): Kelvania 9; Tarnova 12
- Natural increase (per 1,000): Kelvania 1; Tarnova 26
- Infant mortality (per 1,000 live births): Kelvania 3; Tarnova 62
- Maternal mortality (per 100,000 live births): Kelvania 6; Tarnova 540
🏢 Higher development
Low fertility rate. Women often study, work and use family planning, so families are smaller. Good healthcare keeps the death rate low for its age structure, though an older population stops it falling very far. Natural increase is small.
🌾 Lower development
High fertility rate. Children may help on farms and some babies may not survive, so families are bigger. Birth rates are high, so natural increase is high and the population grows fast.
Notice that the death rate does not always look very different. Kelvania has an older population, so many older people die each year even with excellent healthcare. Always compare more than one figure.
Infant and maternal mortality
These two measures are very good indicators of development because they depend on healthcare, clean water, food and education.
- Infant mortality is high where families cannot afford enough food, babies are not vaccinated and clean water is scarce.
- Maternal mortality is high where there are few trained midwives, hospitals are far away and roads are poor.
- In Kelvania both figures are tiny. In Tarnova they are much higher. This shows a lower level of human welfare.
As a country develops, healthcare improves, so both rates fall. Fertility often falls a little later, as families choose to have fewer children when they expect their babies to survive.
Population structure and pyramids
A population pyramid shows the population structure. You met the basics in Population Pyramids for Rural Areas: each bar is an age group, and males and females are on opposite sides. At country level the shapes tell a story about development.
👶 Tarnova (low income)
A wide base and sides that slope steeply inwards, a shape like a triangle. Many children, because of the high fertility rate. Few old people, because fewer people live to old age. The narrow top shows this.
👴 Kelvania (high income)
A narrow base and a wide middle and top, closer to a column or a barrel. Fewer children, because of the low fertility rate. Many older people, because healthcare is good and people live longer. This is an ageing population.
Why it matters
Tarnova needs more schools and jobs for its young people. Kelvania needs more care homes and pensions for its older people. Population structure shows what a country needs as well as how developed it is.
Skill: using demographic data to judge development
Examiners may give you a table or two pyramids and ask what they show. Follow three steps.
- Read the figures. Quote them with units, such as "5.2 children per woman".
- Compare. Give the difference, for example "Tarnova's infant mortality (62) is more than 20 times Kelvania's (3)".
- Link to development. High fertility and high infant mortality suggest lower development. Low figures suggest higher development.
Worked example
Using the table: Tarnova's natural increase is 26 per 1,000 (38 - 12 = 26). Kelvania's is 1 per 1,000 (10 - 9 = 1). Tarnova's population is growing 26 times faster, which fits a lower level of development with high fertility.
Common mistakes
Common mistakes
- Mixing up fertility rate (children per woman) with birth rate (births per 1,000 people).
- Saying poorer countries always have higher death rates. Richer countries can have similar death rates because their populations are older.
- Describing a pyramid without any numbers or age groups. Name the wide and narrow parts.
- Writing "more babies die so the country is poor" with no explanation. Say why, such as poor healthcare and a lack of clean water.
Exam-style question
The table shows demographic data for two countries.
- Fertility rate: Country X 1.5; Country Y 4.8
- Infant mortality (per 1,000): Country X 4; Country Y 58
(a) Calculate how many more children per woman Country Y has than Country X. [1 mark]
(b) Explain how the data suggests that Country X is more developed than Country Y. [3 marks]
Model answer
(a) 4.8 - 1.5 = 3.3 more children per woman (1).
(b) Country X has a much lower infant mortality rate (4 compared with 58), which suggests better healthcare, clean water and food (1). Country X has a lower fertility rate (1.5 compared with 4.8), which suggests women have more education and access to family planning (1). Low figures for both fit a country with a higher level of development and human welfare (1).
Exam tip
For "explain" questions with data, quote a figure from each country, then say what it tells you about development. Figures alone gain no marks without the link.