Every five years or so, India’s population numbers make headlines again – will we overtake China, will the population ever stop growing, are we ageing too fast or too slow? Behind all these questions sits one quiet, technical exercise: population projection. It’s the tool planners, economists, and health ministries use to answer “what happens next,” and understanding how it works tells you a lot about where India is actually headed over the next few decades.

Table of Contents

What exactly is population projection?

Population projection is a scientific estimate of how a population’s size, age structure, and composition will change in the future. It isn’t a prediction carved in stone – it’s a calculated forecast built on assumptions about three moving parts: fertility (how many children are born), mortality (how long people live), and migration (who moves in or out).

Demographers usually apply what’s called the cohort-component method, which tracks each age group forward in time, adjusting for births, deaths, and migration year by year. Because it’s built on assumptions, a projection is only as good as the data feeding into it – census figures, sample registration data, and health surveys all play a role. In India, the National Commission on Population, under the Ministry of Health and Family Welfare, is the body responsible for putting these numbers together, using Census data as its base.

Why does this matter beyond academic interest? Because population projections quietly shape everything from how many schools get built, to how much a state receives for healthcare infrastructure, to pension planning for an ageing population. Get the projection wrong, and public policy ends up chasing a population that no longer exists.

Why the Economic Survey 2018-19 changed the conversation

The Economic Survey 2018-19 gave India a clearer, more data-driven picture of its demographic future than it had seen before. Its central message was that India’s population growth rate is set to slow down sharply over the next two decades. This doesn’t mean the population will shrink – it means the pace of growth is easing, decade after decade.

A slowdown that still means growth, not decline

The Survey also flagged something less commonly discussed: while India as a whole will continue to enjoy its demographic dividend – a large working-age population relative to dependents – some Indian states will start ageing by the 2030s. This creates a two-speed demographic reality within a single country. Southern and some western states are approaching the fertility and age-structure patterns of developed economies, while several northern and central states still have younger, faster-growing populations. Broader analysis of India’s demographic transition confirms this divergence, noting that southern states have already moved closer to an ageing profile while northern states still carry population momentum from earlier, higher fertility.

How big will India actually get?

Numbers help ground the discussion. India’s population was projected to reach roughly 1.381 billion by 2022. Over the following decade, the country was expected to add around 170 million people – a large number in absolute terms, but notably about 10 million fewer than what was added in the previous decade. That’s the slowdown in action: not fewer people overall, but a shrinking rate of addition.

This pattern is consistent with the government’s own long-range projections. The Population Projections for India and States, 2011-2036 report estimated India’s population would rise from about 121.1 crore in 2011 to 152.2 crore by 2036 – a rise of roughly 25.7% over 25 years, or about 1% annually. That’s a steady deceleration compared to the growth rates India recorded in the second half of the 20th century.

A handful of states account for a disproportionate share of this increase. Uttar Pradesh alone is projected to contribute about a fifth of the total population added between 2011 and 2036, with Bihar, Maharashtra, West Bengal, and Madhya Pradesh together accounting for a large chunk of the rest. Meanwhile, southern states like Andhra Pradesh, Karnataka, Kerala, Telangana, and Tamil Nadu contribute a comparatively small share to future growth – a direct result of fertility levels already at or below replacement.

The EAG states: carrying a growing share of the population

One of the most important threads in India’s population story is the rising demographic weight of the Empowered Action Group (EAG) states – Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, Rajasthan, Uttarakhand, and Uttar Pradesh. These are states identified for special policy attention because they lag on health and demographic indicators.

Their share of India’s total population has been rising steadily: from 43.4% in 1991, to 44.6% in 2001, to 46% in 2011. Projections suggested this share would climb further to nearly 49.7% by 2022 – meaning the EAG states could soon account for close to half of India’s population, potentially even overtaking the combined population of the non-EAG states in the 2020-2022 window.

Why this shift matters

This isn’t just a statistic – it has real consequences. EAG states generally have slower fertility decline, higher infant and maternal mortality, and weaker health infrastructure than the rest of the country. As their population share grows, national averages for health, education, and economic indicators increasingly reflect conditions in these states. This is one reason why policymakers pay close attention to state-specific data rather than treating India as demographically uniform.

The changing age structure

Population projections aren’t only about total numbers – the age structure tells an equally important story.

Fewer children, more working-age adults

Across virtually every Indian state, the share of the population in the 0-14 age group is projected to keep declining. Nationally, the population report projects the share of those under 15 will fall from about 30.8% in 2011 to 19.8% by 2036, while the working-age group (15-59 years) is expected to rise from roughly 60.7% to 65.1% over the same period. Fewer children being born today means a smaller school-age cohort tomorrow, but a larger working-age population in the years that follow – this lag is exactly what creates a demographic dividend.

A north-south divide in reaping the dividend

North Indian states, where fertility decline started later, still have a window of opportunity ahead of them. As more young people enter working age in these states over the coming years, they’ll need access to jobs, skilling, and crucially, family planning services, so that this larger cohort translates into productive employment rather than strained resources. The demographic dividend in India has been most fully realised where policy environments support education, health, and employment alongside favourable age structure – meaning the dividend is an opportunity, not a guarantee.

What’s actually driving the fertility decline

Population projections rest on assumptions about future fertility, so it’s worth understanding what’s actually pushing India’s fertility rate down. Research on this points to a mix of behavioural and social factors.

Contraception and delayed marriage

Increased use of contraception is estimated to account for around 51% of India’s fertility decline, while delayed age at marriage contributes close to 45%. Nationally, more than half of couples now report using modern contraceptive methods, with sterilisation remaining the dominant method, particularly among women. As more women marry later and enter the workforce or continue their education, the average window for childbearing naturally shortens, pulling fertility rates down further.

Child survival, education, and women’s autonomy

Child mortality plays a subtler but significant role. When infant and child survival is uncertain, families tend to have more children as a form of insurance. As child mortality has fallen sharply across India, this “insurance effect” has weakened, contributing to smaller family sizes. Education has an equally strong effect: more educated women consistently have fewer children, partly because education delays marriage and childbearing, and partly because it expands options outside the home.

One factor that receives less attention is the link between women’s safety and fertility outcomes. Women who experience physical violence tend to show higher fertility, often linked to reduced reproductive autonomy and limited ability to negotiate contraceptive use within relationships. This connects population projection to a wider conversation about reproductive rights – as the UNFPA has pointed out, India’s fertility story is increasingly about choice and access rather than just numbers, with unmet needs for spacing and contraception still shaping outcomes for many women.

Taken together, these factors show why population projection isn’t a purely mathematical exercise. Every projected number about India’s future population size, age structure, or regional distribution is really a story about healthcare access, education, marriage patterns, and gender equity playing out across hundreds of millions of lives.

Putting it all together

India’s population trajectory over the next two decades will be shaped less by a single national trend and more by a patchwork of regional stories. Southern states are moving toward an ageing profile even as northern and EAG states still have a demographic dividend to capture. The total population will keep growing, but more slowly with each passing decade. And the underlying drivers – contraception, marriage age, child survival, education, and women’s autonomy – will determine whether that growth translates into opportunity or added strain on already stretched resources.

What do you think? Do you think India’s northern and EAG states have enough time to build the health and education infrastructure needed to capture their demographic dividend before it closes? And how much of India’s fertility decline do you think comes down to policy versus changing social attitudes toward marriage and family size?

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References
  1. https://nhm.gov.in/New_Updates_2018/Report_Population_Projection_2019.pdf
  2. https://pmc.ncbi.nlm.nih.gov/articles/PMC10866242/
  3. https://ruralindiaonline.org/en/library/resource/population-projections-for-india-and-states-2011-2036/
  4. https://www.nature.com/articles/s41599-025-05042-0
  5. https://www.science.org/content/article/india-defuses-its-population-bomb-fertility-falls-two-children-woman
  6. https://india.unfpa.org/en/news/indias-real-fertility-crisis-about-choice-not-numbers

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Biological Diversity in Human Population

1 Importance and Implications of Biological Variation

  1. Physical Anthropology vs. Biological Anthropology
  2. Population and Mendelian Population
  3. Race
  4. Ethnic Group
  5. Somatoscopic Characters
  6. Anthropometric Characters
  7. Serological Markers
  8. Dermatoglyphics
  9. Molecular Markers

2 Sources of Genetic Variation

  1. Mendelian Mutation
  2. Genetic Recombination
  3. Gene Flow and Genetic Drift
  4. Selection

3 Genetic Polymorphism

  1. Causes and Applications of Genetic Variations in Humans
  2. Blood Groups
  3. Serum Proteins
  4. Biochemical or Red Cell Enzyme/ Protein Markers
  5. Molecular/DNA Markers

4 Role of Bio-cultural Factors

  1. Bio-Cultural Factors Influencing the Diseases and Nutritional Status
  2. Bio-Cultural Factors Influencing the Diseases and Nutritional Status – Nutrition
  3. Evolution of Diet
  4. Biological Perspectives of Aging Process Among Different Populations

5 Ethnic Elements in Indian Population

  1. Historical Views of Human Variation
  2. Concept of Ethnicity
  3. Ethnicity and Race
  4. Racism and Society
  5. Indian Population: A Brief
  6. H.H. Risley’s Classification
  7. B.S. Guha’s Classification
  8. S.S. Sarkar’s Classification
  9. Balakrishnan’s Classification
  10. Critical Appraisal of Classification

6 Classification of Racial Elements in India

  1. Linguistic Classification of Indian Population
  2. Language and Racial Variation
  3. Pre and Proto Historic Racial Elements in India
  4. Racial Element in India and Genomic Study

7 Major Races of Mankind

  1. Concept of Race
  2. Racial Classification
  3. Major Races of the World
  4. Caucasoid
  5. Negroid
  6. Mongoloid
  7. A Comparative Account of Three Major Races
  8. UNESCO Statement on Race

8 Demographic Anthropology

  1. Scope
  2. Relationship with Other Branches of Social Sciences
  3. Sources of Demographic Data
  4. Demographic Processes

9 Indian Demography

  1. Demography: Definitions and Concepts
  2. Mortality Measures
  3. Fertility Measures
  4. Migration
  5. Sex Ratio
  6. Population Pyramid (Age-Sex Structure)
  7. Life Expectancy
  8. Growth Rate
  9. Population Projection
  10. Introduction to Demographic Profile of Indian Populations-an Overview
  11. Theories on Demography
  12. Sources of Demographic Data
  13. National Population Policy of India

10 Inbreeding and Consanguinity

  1. Consanguinity
  2. Inbreeding
  3. Biological Consequences of Inbreeding
  4. Prevalence of Inbreeding in Indian Population