Niger has one of the highest birth rates on Earth. Its population is not just growing, it is growing fast.

At Niger's current rate, how long would it take its population to double?

Running case, opposite ends of one model
Niger, 2024
  • Population: about 27.0 million
  • Birth rate: 41.4 per 1,000
  • Death rate: 8.7 per 1,000
  • Total fertility rate: 5.9 children per woman
  • Life expectancy: 61.4 years
  • Natural increase: about 3.27% a year
Japan, 2024
  • Population: about 124.0 million
  • Birth rate: 5.7 per 1,000
  • Death rate: 13.3 per 1,000
  • Total fertility rate: 1.15 children per woman
  • Life expectancy: 84.0 years
  • Natural increase: about −0.76% a year, population is shrinking

Figures: World Bank World Development Indicators, sourced from UN Population Division, 2024. These two countries recur through this whole subtopic and meet in full in the HL tab's 8.1.11 detailed comparison.

8.1.1

Inputs to a human population

Births and immigration are inputs to a human population. Crude birth rate, the number of live births per 1,000 people in a population per year, and immigration rate, the number of immigrants per 1,000 population per year, are the quantitative measures of population input. Both rates can be used at any scale, from a single town to a whole country, region or the global population.

Niger's crude birth rate of 41.4 per 1,000 is more than seven times Japan's 5.7 per 1,000, the widest kind of contrast this measure can show between two real countries.

8.1.2

Outputs from a human population

Deaths and emigration are outputs from a human population. Crude death rate, the number of deaths per 1,000 people in a population per year, and emigration rate, the number of emigrants per 1,000 population per year, are the quantitative measures of population output, again usable at any scale from a town to the global population.

Common misconception

Japan's crude death rate (13.3 per 1,000) is actually higher than Niger's (8.7 per 1,000), even though Japan has far better healthcare and a life expectancy 23 years longer. A high crude death rate does not mean worse health outcomes. It usually means an older population structure: more people are in the age brackets where death is more likely, simply because they have lived longer. Crude death rate reflects population structure as much as it reflects healthcare quality, which is exactly why age-sex pyramids matter for interpreting it correctly.

A country has excellent healthcare, a life expectancy of 83 years, and a large elderly population. Another country has weaker healthcare, a life expectancy of 58 years, and a very young population. Which country most likely has the higher crude death rate?

8.1.3

Quantifying population dynamics

Population dynamics can be quantified and analyzed by calculating total fertility rate, life expectancy, doubling time and natural increase. Total fertility rate is the average number of births per woman of childbearing age. Life expectancy is the average number of years a person can be expected to live, usually from birth, if demographic factors remain unchanged. Natural increase is birth rate minus death rate, expressed as a percentage (subtract, then divide by 10). Doubling time is the number of years it would take a population to double at its current growth rate, calculated with the rule of 70: divide 70 by the growth rate as a percentage.

Try it: pick a real country below, or set your own birth and death rate, and watch the natural increase and doubling time recalculate. This is exactly the calculation the application-of-skills note for this statement asks you to practice.

years from now 2× today
Birth rate, per 1,00041.4
Death rate, per 1,0008.7
Natural increase3.27%
Doubling time≈ 21 years
Rule of 70: 70 ÷ natural increase rate = doubling time in years.

Bhutan preset uses the country's own 2021 fact file (a real IB specimen-paper data set): birth rate 16.17, death rate 6.28, giving a natural increase of 0.989%.

IB link

This is 8.1.3's named application of skills: work out natural increase rates and doubling times from given data. In an exam you will be handed a fact file like the ones above and asked to calculate, not just define, these two figures. Practice the arithmetic, not just the definitions.

Sources: this tab
  • Niger and Japan population, birth rate, death rate, total fertility rate and life expectancy (2024): World Bank World Development Indicators, sourced from UN Population Division.
  • Bhutan 2021 demographic fact file (population, natural increase rate, birth rate, death rate, total fertility rate): IB Environmental Systems and Societies specimen examination materials, first assessment 2026.
  • IB Environmental Systems and Societies Guide, first assessment 2026, Topic 8, Subtopic 8.1, statements 8.1.1-8.1.3.
8.1.4

Predicting global population growth

The global human population has followed a rapid growth curve, and models are used to predict its future growth. UN projection models indicate three scenarios linked to future fertility rates: there is real uncertainty about how human fertility will change, and that uncertainty is exactly what the three scenarios represent, not disagreement about how many people are alive today.

Exam-safe wording

Treat any single confident figure for the future global population as a scenario, not a fact. The UN itself publishes low, medium and high variants that diverge by billions of people by 2100 because fertility rates are hard to predict, not because the UN cannot do arithmetic. Write "the UN's medium-variant projection suggests" or "one projected scenario indicates," not "the world's population will be." The medium scenario's own peak year and peak size have shifted across recent UN revisions, which is itself evidence the number is a moving estimate.

Low-fertility scenario
About 0.5 fewer children per woman than the medium scenario
2050About 8.9 billion people
2100About 6.9–7.0 billion people, below today's population

Current global population (2024): about 8.2 billion. Medium scenario (the UN's central estimate): about 9.7 billion by 2050, peaking near 10.3 billion around 2084, then about 10.2 billion by 2100. The three scenarios barely differ by 2050, about 1.5 billion people apart, but diverge enormously by 2100, a roughly 7.4 billion person range, because small fertility differences compound over generations.

The UN's low, medium and high population scenarios produce global 2100 populations ranging from about 7 billion to about 14.4 billion. What is the main assumption that differs between the three scenarios?

8.1.5

Direct population policies

Population and migration policies can be employed to directly manage growth rates of human populations. These may be anti-natalist or pro-natalist, addressing birth rates directly, or they may target immigration and emigration. They typically use cultural, religious, economic, social and political levers to achieve their aims.

Anti-natalist: China's one-child policy

  • Introduced nationally in 1980, restricting most urban couples to one child
  • Enforced through fines, incentives and, in some periods, more coercive measures
  • Relaxed to a two-child policy in 2016, then a three-child policy in 2021, as the government's priority shifted toward an aging population and a shrinking workforce

Pro-natalist: Singapore's Baby Bonus Scheme

  • Launched 2001, still running in an expanded form today
  • Cash gifts and a co-savings account for each child, now worth several thousand Singapore dollars per child
  • A direct economic incentive aimed at raising a birth rate that has fallen well below replacement level
8.1.6

Indirect population management

Human population growth can also be managed indirectly, through economic, social, health, development and other policies that affect births, deaths or migration as a side effect rather than a direct target. Development policies addressing gender equality, education, and public health and welfare are the clearest examples.

Iran, family planning and education, from 1989

  • Total fertility rate fell from about 6.8 (1984) to about 2.2 (2000)
  • Driven by a relaunched national family planning program combined with expanded female education and rural healthcare access
  • No direct birth limit was imposed, unlike China's policy; the decline followed from broader access and choice

Rwanda, community health workers, since the mid-2000s

  • Total fertility rate fell from about 6.1 (2005) to about 4.2 (2014-15)
  • Modern contraceptive use rose from 17% (2005) to 52% (2010), following a national expansion of roughly 45,000 trained community health workers and community-based health insurance
  • A health and development policy with a fertility effect, not a population policy in name
8.1.7

Age-sex pyramids

The composition of human populations can be modeled and compared using age-sex pyramids, measured in absolute numbers or as a percentage of the total population, showing the proportion of each gender in each age group.

Niger, 2025 Japan, 2025 median age 16.7 median age 50.8 under 15: 46.2% 15-64: 51.2% 65+: 2.6% under 15: 11.2% 15-64: 59.0% 65+: 30.0% broad-based, expansive pyramid constrictive, top-heavy pyramid wide young base, narrow old age narrow young base, wide old age

Figures: UN World Population Prospects 2024 revision (medium variant), via PopulationPyramid.net, 2025. Shown as three broad age bands rather than a full five-year-band pyramid shape, the real proportions above are accurate; the visual is simplified.

Niger's dependency ratio is about 96.8%, almost one dependent per working-age person. Japan's is about 70.1%, lower overall, but roughly 50.7 of those 70.1 points come from people aged 65 and over alone. What does this contrast mainly show?

8.1.8

The demographic transition model

The demographic transition model (DTM) describes the changing levels of births and deaths in a human population through different stages of development over time. Its five stages: death rate falls first while birth rate stays high, producing exponential increase, then birth rate falls too, and the population stabilizes or possibly declines.

Stage 1: high fluctuating
Birth rate and death rate both high, population roughly stable
Birth rateHigh and fluctuating, little deliberate family planning
Death rateHigh and fluctuating, driven by disease, famine, limited healthcare
Where todayNo country remains here; historically, all pre-industrial societies

Tap a stage to see its pattern. Niger sits in Stage 2; Japan sits in Stage 5.

Sources: this tab
  • UN population projection scenarios and 2050/2100 figures: UN DESA, World Population Prospects 2024 revision, Summary of Results.
  • China's one-child, two-child and three-child policies: dates per standard demographic and policy references.
  • Singapore's Baby Bonus Scheme: Singapore government (LifeSG), current scheme details.
  • Iran fertility decline 1984-2000: World Bank case study, "Fertility Decline in Iran 1980-2006"; The Overpopulation Project.
  • Rwanda fertility decline and community health worker program: Population Reference Bureau (PRB), "Rwanda's Success in Improving Maternal Health."
  • Niger and Japan age structure, median age, dependency ratio: UN World Population Prospects 2024 revision; World Bank World Development Indicators, 2024.
  • IB Environmental Systems and Societies Guide, first assessment 2026, Topic 8, Subtopic 8.1, statements 8.1.4-8.1.8.

Application of skills

8.1.3's calculation skill (natural increase and doubling time) lives in the Population Inputs & Outputs tab, built into the live simulator. This tab covers the subtopic's other named skill: using secondary data to test a hypothesis with a suitable statistical tool.

skill

Test a hypothesis with secondary data

Use secondary data from sources such as Gapminder, World Bank and Our World in Data to test a hypothesis about the relationship between a socio-economic indicator and a demographic factor, using a suitable statistical tool such as an online statistics calculator. The three scenarios below walk through the real judgment calls this skill actually requires.

A student wants to test whether higher female education is associated with lower total fertility rate across countries, using national-level data for both variables from Gapminder and World Bank. What statistical tool best tests this relationship?

The student finds a strong negative correlation between female education and total fertility rate across 50 countries, r = −0.82. Which conclusion is best supported by this result alone?

Which of these is the most appropriate secondary data source for this kind of national demographic and socio-economic hypothesis test?

🛠Application of skills

A free online tool such as the Social Science Statistics calculator can compute a correlation coefficient (or a significance test) directly from two columns of pasted data, no statistics software required. Practicing with real Gapminder or World Bank exports, rather than invented numbers, is the fastest way to get comfortable with this skill before an exam or internal assessment.

Sources: this tab
  • IB Environmental Systems and Societies Guide, first assessment 2026, Topic 8, Subtopic 8.1, application of skills.

Glossary

Crude birth rate (CBR)
The number of live births per 1,000 people in a population per year.
Crude death rate (CDR)
The number of deaths per 1,000 people in a population per year.
Immigration rate
The number of immigrants entering a population per 1,000 population per year.
Emigration rate
The number of emigrants leaving a population per 1,000 population per year.
Total fertility rate (TFR)
The average number of births per woman of childbearing age in a population.
Life expectancy
The average number of years a person can be expected to live, usually measured from birth, assuming current demographic conditions remain unchanged.
Natural increase
Birth rate minus death rate, expressed as a percentage; the rate at which a population grows or shrinks from births and deaths alone, excluding migration.
Doubling time
The number of years it would take a population to double in size at its current growth rate, calculated with the rule of 70 (70 divided by the growth rate as a percentage).
Anti-natalist policy
A direct population policy aimed at lowering birth rates, such as China's one-child policy.
Pro-natalist policy
A direct population policy aimed at raising birth rates, such as Singapore's Baby Bonus Scheme.
Indirect population management
Economic, social, health or development policy that changes births, deaths or migration as a side effect, without directly targeting population size.
Age-sex pyramid
A chart showing the proportion of a population, by gender, in each age group, used to compare population structures between places or over time.
Expansive pyramid
An age-sex pyramid with a wide base of young people narrowing sharply toward old age, typical of a rapidly growing population such as Niger's.
Constrictive pyramid
An age-sex pyramid narrower at the base than in the middle or top, typical of a population with falling birth rates and a growing elderly share, such as Japan's.
Demographic transition model (DTM)
A model describing how birth and death rates change through five stages as a population develops over time, moving from high fluctuating rates to low or declining rates.
Dependency ratio
The ratio of dependents (under 15 and over 64) to the economically productive population (15-64), showing how much of a population must be supported by those of working age.HL
Population momentum
The tendency of a population to keep growing for a generation or more after its fertility rate falls to replacement level, because a large number of women are already of, or approaching, reproductive age.HL
Doughnut economics
A framework (Kate Raworth) picturing a safe and just space for humanity between a social foundation of minimum human needs and an ecological ceiling of planetary boundaries.HL
Planetary boundaries
Nine measurable Earth-system limits (including climate change and biosphere integrity) beyond which environmental change becomes destabilizing; as of 2023, six of the nine are assessed as transgressed.HL
Biocapacity
The capacity of an area of land or water to regenerate the resources a population consumes and absorb its waste, measured in global hectares.HL
Earth Overshoot Day
The calendar date by which humanity's demand on nature for the year exceeds what Earth's ecosystems can regenerate in that year; 24 July in 2025.HL
Environmental migration
Migration driven substantially by an environmental issue such as climate change, drought or land degradation, whether through a sudden onset event or a slow onset event.HL
Sudden onset event
An abrupt environmental hazard, such as a flood, forest fire or intensified storm, that can trigger rapid displacement.HL
Slow onset event
A gradual environmental change, such as desertification, sea-level rise or saltwater intrusion, that makes an area progressively less habitable over years or decades.HL

Test Yourself is coming soon for this subtopic

Practice questions and markschemes for this page are still being written. Check back once they have been added.

8.1.9

Population growth and stress on Earth's systems

Rapid human population growth has increased stress on the Earth's systems. Today's global population is about 8.2 billion. The UN's medium-fertility projection puts this at about 9.7 billion by 2050 and about 10.2 billion by 2100, likely peaking around 10.3 billion near 2084. The low and high scenarios diverge far more by 2100, from roughly 7.0 to 14.4 billion, because small differences in assumed future fertility compound across generations, the same three-scenario uncertainty covered in 8.1.4.

That stress is often described through biocapacity disparity and the doughnut economics model. Earth Overshoot Day, the calendar date by which humanity's yearly demand on nature exceeds what Earth can regenerate that year, fell on 24 July in 2025: humanity is using resources at roughly 1.8 times the rate Earth's ecosystems can replace them. That demand is deeply uneven. The world's average ecological footprint is about 2.6 global hectares per person against an available biocapacity of about 1.5 global hectares per person, but a high-consumption country such as Qatar runs a footprint of roughly 14 global hectares per person, around 17 times that of a low-consumption country such as the Democratic Republic of the Congo, at roughly 0.8 global hectares per person.

The doughnut: a safe and just space
Kate Raworth's model, between a social floor and an ecological ceiling
Social foundationA minimum floor across 12 dimensions drawn from the UN Sustainable Development Goals: water, food, health, education, income and work, peace and justice, political voice, social equity, gender equality, housing, networks, and energy. Falling short here is "shortfall."
Ecological ceilingNine planetary boundaries beyond which environmental change risks destabilizing Earth's systems. Going past the ceiling here is "overshoot."

As of the most complete assessment (Stockholm Resilience Centre, 2023), six of the nine planetary boundaries are judged to be transgressed:

Transgressed
Climate change
Transgressed
Biosphere integrity
Transgressed
Biogeochemical flows
Transgressed
Land-system change
Transgressed
Freshwater change
Transgressed
Novel entities
Within limit
Stratospheric ozone
Within limit
Atmospheric aerosols
Within limit
Ocean acidification

Population growth is not the only driver of overshoot, consumption per person matters at least as much, as the Qatar-versus-DRC contrast above shows, but a larger population raises total demand on a ceiling that has already been crossed six times over.

8.1.10

Dependency ratio and population momentum

Age-sex pyramids can be used to determine the dependency ratio and population momentum. The dependency ratio depends on the number of people in the ages defined as dependent (under 15 and over 64) against those defined as economically productive (15 to 64). It tends to be high in populations with either a very high or a very low fertility rate, exactly the Niger-and-Japan pattern from the previous tab: Niger's ratio (96.8%) is driven by children, Japan's (70.1%) is driven overwhelmingly by retirees.

Population momentum is why a population keeps growing even after its fertility rate falls to replacement level. It happens because population growth depends not only on how many children each woman has, but on how many women of reproductive age already exist. Niger illustrates this directly: 46.2% of its population is currently under 15. Even in a hypothetical scenario where Niger's fertility rate fell to replacement level tomorrow, its population would keep growing for a generation or more, simply because that huge cohort of girls is about to enter, or is already in, its reproductive years.

A country's total fertility rate falls to exactly replacement level this year. Will its population immediately stop growing?

8.1.11

Detailed study: Niger and Japan

The reasons for patterns and trends in population structure and growth can be understood using examples of two countries in different stages of the demographic transition model, considering the past (30 or more years ago), the present, and the future (30 or more years ahead), and the historical, cultural, religious, economic, social and political reasons behind each.

Past to future, both countries: Niger's population rose from about 9.7 million (1995) to about 27.0 million (2024), projected to reach about 52.5 million by 2050 under the UN's medium scenario. Japan's population fell from about 125.5 million (1995) to about 124.0 million (2024), projected to fall to about 105.1 million by 2050. Both 2050 figures are medium-variant projections, not certainties.

Roughly 76% of Niger's girls marry before age 18, modern contraceptive use among married women is only about 11-14%, and youth female literacy is only about 32%. Which best characterizes why Niger remains in Stage 2 of the DTM?

Research attributes roughly 90% of Japan's fertility decline to fewer people marrying or marrying later, rather than married couples having fewer children. What does this suggest is the real driver of Japan's low fertility?

By 2050, Niger is projected to reach about 52.5 million people and Japan about 105.1 million (both UN medium-variant). How should a strong answer treat these two 2050 figures?

8.1.12

Environmental migration: Tuvalu to New Zealand

Environmental issues such as climate change, drought and land degradation are causing environmental migration, increasingly through slow onset events such as desertification, sea-level rise and saltwater intrusion, rather than only sudden onset events like floods and storms. Tuvalu is the clearest real case of slow-onset migration.

Tuvalu: a nation losing ground slowly
  • Population: about 10,800 (Tuvalu's 2022 census; UN estimates run slightly lower, around 9,700, a real difference between national and UN data)
  • Total land area: about 26 km² across 9 islands, maximum elevation 4.6 meters
  • Local sea-level rise measured at 5.1 mm/year (1950-2009), against a global average of 1.8 mm/year over the same period, almost three times faster; NASA's 2024 analysis found at least 15 cm of further rise is now locked in over the next 30 years regardless of future emissions
  • Primary driver is slow onset: king-tide flooding and saltwater intrusion into groundwater and crops, not storms
  • Some studies project about half of the capital, Funafuti, could flood at high tide by 2050

Figures: NASA JPL (2024); long-run tide-gauge record via multiple secondary sources; Tuvalu Bureau of Statistics, 2022 census; Britannica.

Two real migration pathways now exist. New Zealand's Pacific Access Category has offered Tuvalu a ballot of 75 residence places a year for many years; Tuvaluan-heritage population in New Zealand grew steadily from 2,625 (2006 census) to 6,585 (2023 census), a real, measured outcome, not just a quota. In November 2023, Australia and Tuvalu signed the Falepili Union treaty, the first bilateral treaty explicitly linking climate change to a migration pathway: up to 280 Tuvaluans a year can gain Australian permanent residence through its mobility visa. The treaty's first ballot in 2025 drew about 2,474 primary registrations, roughly a third of Tuvalu's population once family members are counted, and the full 280 places were granted.

Don't confuse

The Pacific Access Category is New Zealand's long-standing general Pacific residency ballot (not created for climate reasons). The Falepili Union mobility visa is Australia's, newer, and explicitly framed around climate mobility. Tuvalu's case study centers on the New Zealand pathway; the Australian treaty is a useful update to mention, but name them as two separate schemes, not one.

Tuvalu's government has also pursued the Future Now Project, an effort to preserve statehood and culture digitally, including a "digital nation" archive, alongside the regional Rising Nations Initiative, both aimed at securing Tuvalu's legal and cultural continuity even under the most severe land-loss projections.

IB link

8.1.12 asks for one real example of environmental migration. Tuvalu works because it is explicitly slow onset (sea-level rise and saltwater intrusion, not storms), has verifiable population and migration figures on both ends, and has two distinct policy responses you can name and compare.

Sources: this tab
  • Global population current figure and 2050/2100 medium, low and high scenarios: UN DESA, World Population Prospects 2024 revision.
  • Earth Overshoot Day 2025 and global ecological footprint/biocapacity: Global Footprint Network.
  • Country ecological footprint contrasts (Qatar, DRC): Global Footprint Network National Footprint and Biocapacity Accounts.
  • Doughnut economics framework: Kate Raworth, "Doughnut Economics," 2017; Doughnut Economics Action Lab.
  • Planetary boundaries status (6 of 9 transgressed, 2023): Richardson et al., "Earth beyond six of nine planetary boundaries," Science Advances, 2023, via Stockholm Resilience Centre.
  • Niger and Japan historical (1995), current (2024) and projected (2050) population: World Bank World Development Indicators; UN World Population Prospects 2024 revision.
  • Niger child marriage, contraceptive use and female literacy figures: UNICEF/UNFPA Niger program data; World Bank World Development Indicators.
  • Japan marriage-driven fertility decline research: Tokyo Foundation / RIETI demographic research summaries.
  • Tuvalu population, geography and sea-level rise: Tuvalu Bureau of Statistics 2022 census; NASA JPL, 2024; Britannica.
  • Pacific Access Category quota and Tuvaluan-heritage population in New Zealand: Immigration New Zealand; Stats NZ 2023 census.
  • Falepili Union treaty and mobility visa: Australian Department of Foreign Affairs and Trade; Carnegie Endowment for International Peace, 2025.
  • IB Environmental Systems and Societies Guide, first assessment 2026, Topic 8, Subtopic 8.1, statements 8.1.9-8.1.12.