1.3 Population structure: Interpret population pyramids.

1.3 Population Structure – Interpreting Population Pyramids

1. What is a Population Pyramid?

A population pyramid is a graphical representation of a country’s or region’s age‑sex structure. The horizontal axis shows the proportion of the population (percentage or absolute number) split into males (left) and females (right). The vertical axis lists five‑year age groups, from the youngest at the bottom to the oldest at the top.

2. Key Features to Observe

  • Shape of the pyramid – indicates the stage of the Demographic Transition Model (DTM) and whether the population is youthful, stationary or ageing.
  • Width of each bar – size of a particular age‑sex cohort.
  • Symmetry between the sexes – large differences may signal migration, gender‑specific mortality or cultural practices.
  • Peaks and troughs – reveal historical events such as baby booms, wars, epidemics or policy changes.

3. The Demographic Transition Model (DTM)

The DTM links economic development with changes in birth and death rates, producing characteristic pyramid shapes.

Stage Fertility Mortality Typical Pyramid Shape Typical Countries (2024)
1 – High stationary Very high Very high Broad base, steep sides, narrow top (expansive) Afghanistan, South Sudan
2 – Early expanding High Rapidly falling Very wide base, still steep sides (expansive) Niger, Mali
3 – Late expanding Falling Low Base narrows, middle widens (stationary/rectangular) India, Brazil
4 – Low stationary Low Low Rectangular, slight taper at the top (constrictive) Germany, Japan
5 – Declining Very low (below replacement) Very low Very narrow base, large elderly cohort (strongly constrictive) Italy, Russia

Evaluation (AO3): The DTM provides a useful framework for linking development with population change, but it assumes a linear path, overlooks cultural factors, and does not fully account for migration or policy interventions.

4. Core Demographic Rates (Definitions & Calculations)

Rate Definition Formula (per 1 000 population)
Crude Birth Rate (CBR) Number of live births in a year per 1 000 people. CBR = (Births ÷ Total Population) × 1 000
Crude Death Rate (CDR) Number of deaths in a year per 1 000 people. CDR = (Deaths ÷ Total Population) × 1 000
Natural Increase Rate (NIR) Difference between births and deaths, expressed per 1 000. NIR = CBR – CDR
Total Fertility Rate (TFR) Average number of children a woman would have if she experienced the current age‑specific fertility rates throughout her reproductive life. Summation of age‑specific fertility rates (usually expressed as children / woman).

Worked‑out example: A country has 22 births and 8 deaths per 1 000 population.

  • CBR = 22 / 1 000
  • CDR = 8 / 1 000
  • NIR = 22 – 8 = 14 / 1 000 (or 1.4 % per year)

5. Population Momentum

Definition (one sentence): Population momentum is the tendency of a population to continue growing after fertility has fallen to replacement level because of a relatively large proportion of people in their child‑bearing years.

Numeric illustration: Assume a country with a TFR of 1.8 (below replacement) but a very broad base: 30 % of the population is aged 0‑14 and 25 % is aged 15‑29. Even with the low TFR, the large number of women entering reproductive age will add roughly 1.2 million people over the next 20 years, keeping the total population on an upward trajectory.

6. Dependency Ratio

Formula: \[ \text{Dependency Ratio} = \frac{\text{(Population 0‑14 + Population 65+)} }{\text{Population 15‑64}} \times 100 \]

Worked example: In a country of 50 million:

  • 0‑14 = 12 million
  • 15‑64 = 30 million
  • 65+ = 8 million

Dependency Ratio = ((12 + 8) ÷ 30) × 100 = (20 ÷ 30) × 100 ≈ 67 %.

Interpretation: 67 % means there are roughly 67 dependents for every 100 people of working age, indicating a relatively high pressure on the labour force to provide education, health and pension services.

7. Causes of Youthful vs. Ageing Structures

  • Fertility – High fertility creates a wide base (e.g., Niger, TFR ≈ 7.0). Low fertility narrows the base (e.g., Japan, TFR ≈ 1.3).
  • Mortality – High infant/child mortality reduces younger cohorts; low mortality expands them and lengthens older cohorts.
  • Migration – In‑migration of young workers widens middle‑age bars (e.g., Gulf states). Out‑migration of young adults thins those bars (e.g., Eastern Europe).

8. International Migration – Types & Push‑Pull Factors

  • Voluntary labour migration – Pull: higher wages, better living standards; Push: unemployment, low wages at home.
  • Family reunification migration – Pull: joining relatives; Push: political or economic instability that separates families.
  • Forced migration (refugees, asylum seekers) – Pull: safety, international protection; Push: war, persecution, natural disaster.
  • Seasonal/temporary migration – Pull: seasonal work (e.g., agriculture, tourism); Push: lack of year‑round employment.

These flows leave characteristic signatures on pyramids: tall, narrow male bars in the 20‑34 age groups for male‑dominant labour migration; spikes in child and female cohorts for refugee influxes; thin 15‑29 bars where young adults emigrate.

9. Typical Pyramid Shapes and Their Implications

  1. Expansive (young) pyramid – Broad base, steep sides, narrow top.
    Implications: High birth & death rates, high youth dependency, pressure on primary education and child health. Typical of DTM Stages 1‑2.
  2. Stationary (rectangular) pyramid – Relatively uniform width across most age groups, slight taper at the top.
    Implications: Low birth & death rates, stable growth, moderate dependency. Typical of Stage 3.
  3. Constrictive (aging) pyramid – Narrow base, wide middle, large elderly cohort.
    Implications: Low birth rates, high life expectancy, high old‑age dependency, potential labour shortages. Typical of Stages 4‑5.

10. Impacts of Youthful and Ageing Populations

Population Structure Social Impact Economic Impact Environmental Impact
Youthful (expansive) High demand for schools, child‑health services; rapid social change. Potential “demographic dividend” if jobs are created; current risk of youth unemployment. Greater pressure on land, water and energy as the population expands.
Ageing (constrictive) Increased demand for health‑care, pensions, elder‑care facilities. Higher tax burden on the working‑age cohort; possible labour shortages; greater automation. Lower per‑capita resource consumption overall, but higher per‑capita health‑care resource use.

11. Pro‑ and Anti‑Natalist Policies – Evaluation

Case Study 1 – China’s One‑Child Policy (1979‑2015) – Anti‑Natalist
  • Goal: curb rapid population growth.
  • Result: TFR fell from ~2.7 (1979) to 1.6 (2015).
  • Unintended consequences: skewed sex ratio (≈115 males per 100 females), accelerated ageing, “4‑2‑1” family structure.
  • Evaluation: Effective at reducing fertility, but social costs and demographic imbalances have forced a shift to a two‑child, then three‑child policy.
Case Study 2 – Iran’s Family‑Planning Programme (1989‑1997) – Anti‑Natalist
  • Goal: rapidly curb high fertility after the Iran‑Iraq war.
  • Result: TFR dropped from 6.5 (1988) to 2.0 (1997) – one of the fastest declines worldwide.
  • Unintended consequences: recent modest fertility rise after subsidies were removed; some rural resistance.
  • Evaluation: Demonstrates that well‑funded, culturally‑sensitive education and contraceptive provision can achieve rapid change, but long‑term sustainability needs continued support.
Case Study 3 – Hungary’s “Family Support” Programme (2020‑present) – Pro‑Natalist
  • Goal: increase a declining fertility rate (TFR ≈ 1.4) and counteract population loss.
  • Key measures: cash‑for‑children subsidies, reduced mortgage interest rates for families with three or more children, expanded child‑care places, and tax breaks for larger families.
  • Early outcomes (2023 data): TFR rose marginally to 1.48; birth numbers increased by ~5 % compared with 2020.
  • Evaluation: Financial incentives can stimulate a short‑term rise in births, but long‑term effectiveness depends on broader factors such as housing affordability, gender‑role attitudes and job security.

12. Reading Specific Indicators in a Pyramid

Indicator What to Look For Implication
High dependency ratio Very wide base (young dependents) or large top (elderly dependents) Greater pressure on the working‑age population to provide services and support.
Gender imbalance Noticeable difference between male and female bars in a particular age group May indicate migration (e.g., male labour migration) or gender‑specific mortality.
Population momentum Broad base persisting after fertility has fallen Population will continue to grow for several decades even with low fertility.
Historical events Sharp dips or spikes in specific cohorts Reflects wars, epidemics, or policy changes (e.g., post‑World‑War‑II baby boom).

13. Worked Example – Real Country Pyramids (2024)

13.1 Nigeria – Youthful Structure

Source: UN World Population Prospects 2024 (percent of total population).

Age GroupMale %Female %
0‑49.28.9
5‑98.88.5
10‑148.48.1
15‑197.97.6
20‑247.27.0
25‑296.56.3
30‑345.95.8
35‑395.35.2
40‑444.64.5
45‑494.03.9
50‑543.43.3
55‑592.92.8
60‑642.42.3
65‑692.01.9
70‑741.51.5
75‑791.01.1
80‑840.60.7
85+0.30.4

Interpretation

  • Very wide base → high fertility (≈5.4 children / woman).
  • Steep decline after age 30 → relatively low life expectancy (≈61 years).
  • Male and female bars are almost equal → limited gender‑biased migration.
  • Shape = expansive → DTM Stage 2.
  • Implications: high youth dependency, pressure on primary education, potential demographic dividend if jobs are created.

13.2 Japan – Ageing Structure

Source: UN World Population Prospects 2024.

Age GroupMale %Female %
0‑42.82.7
5‑92.92.8
10‑142.92.9
15‑193.03.0
20‑243.23.2
25‑293.43.4
30‑343.53.5
35‑393.63.6
40‑443.53.6
45‑493.43.5
50‑543.23.4
55‑593.03.3
60‑642.73.1
65‑692.32.9
70‑741.82.5
75‑791.32.0
80‑840.91.5
85+0.81.7

Interpretation

  • Narrow base → very low fertility (≈1.4 children / woman).
  • Broad middle and large top → high life expectancy (≈84 years) and a growing elderly cohort.
  • Female bars wider in older groups → greater female longevity.
  • Shape = constrictive → DTM Stage 5.
  • Implications: high old‑age dependency, pressure on health‑care and pensions, potential labour shortages mitigated by automation or immigration.

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