Population Growth in India (Demographics of India)

Population Growth in India

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• Demography in Population Geography refers not merely to statistical description but to the spatio-temporal analysis of population, including growth, distribution, density and its interaction with resources, environment and development.
• As noted by G.T. Trewartha, population is the “central theme of geography” because it conditions all other spatial phenomena.
• Demographics refers to the statistical study of population characteristics, including:
  • Population size and growth rate
  • Age structure (dependency ratio, working population)
  • Sex ratio
  • Literacy and educational attainment
  • Rural–urban composition
  • Occupational structure
• In Population Geography, these indicators help in understanding:
  • Human resource potential
  • Regional disparities
  • Socio-economic development trajectory
• Size and Global Position
  • As per Census 2011, India’s population was 1.21 billion, which has increased to about 1.43 billion (UN, 2023–24), making India the most populous country, surpassing China. India thus contains ~18% of the world’s population with only ~2.4% of land area, reflecting acute man–land ratio imbalance, a key concern in population-resource studies.
  • India’s demographic weight is enormous:
    • Roughly 1 in every 6 persons globally is Indian,
    • Its population is comparable to the combined population of major countries like USA, Indonesia, Brazil and Pakistan,
    • Despite being 7th in area, it far exceeds other large countries in population, indicating high density and pressure on resources.
• Growth Trends and Demographic Transition
  • India’s population growth historically reflects the Demographic Transition Model (DTM) as conceptualised by Frank W. Notestein:
    • Phase of rapid growth (1951–1981) due to decline in death rate with persistently high birth rate,
    • Followed by gradual deceleration (post-1991) due to falling fertility.
  • Recent data indicates:
    • Decadal growth (2001–2011): 17.7%
    • Current annual growth rate: ~0.8–1%
    • TFR ~2.0 (NFHS-5) → near replacement level
  • This shows India is moving towards late Stage III / early Stage IV, though with strong regional asymmetry.
• Annual Addition and Changing Dynamics
  • Earlier, India was adding ~17 million people annually, often cited as equivalent to adding a medium-sized country each year; however, recent trends show a decline to about 12–14 million annually, reflecting the impact of urbanization, female literacy, delayed marriage and access to contraception.
  • Unlike China (which has entered negative growth phase), India still continues to grow, but at a declining pace, indicating a lagged demographic transition.
• Spatial and Regional Variations
  • Population growth in India is not uniform but regionally differentiated, which aligns with Zelinsky’s broader idea of demographic processes being linked with socio-economic transformation:
    • High growth regions: Bihar, Uttar Pradesh → characterised by low literacy, high fertility, agrarian economy
    • Low growth / stabilised regions: Kerala, Tamil Nadu → marked by high literacy, urbanization and social development
  • This reflects a north–south demographic divide, often termed as “demographic dualism” in India.
• Population–Resource Relationship
  • From a theoretical perspective:
    • Thomas Robert Malthus viewed population growth as a pressure on resources, which is partially visible in India in terms of land fragmentation, unemployment and ecological stress.
    • However, Ester Boserup argued that population pressure can induce technological innovation, which is reflected in India through Green Revolution, intensification of agriculture and service sector expansion.
  • Thus, India presents a mixed Malthusian–Boserupian scenario, where population acts both as pressure and potential.
• Contemporary Structural Features
  • India’s population today is marked by:
    • A large working-age population (~65%), offering a potential demographic dividend,
    • Rapid urbanization (~35%), transforming economic structure,
    • Persistent regional inequality in demographic transition,
    • Gradual shift from high fertility–high growth to low fertility–stabilization regime.

• India’s population growth is best understood as a transitioning demographic system with strong spatial heterogeneity, where declining fertility coexists with regional pockets of high growth, and where population acts simultaneously as a resource (human capital) and a constraint (pressure on land and infrastructure).
• Therefore, the key geographical challenge is not merely controlling population size, but managing its distribution, quality and regional balance, ensuring that the demographic transition translates into sustainable and inclusive development.

The population of India by state (UTs not included)

Given below is the population of various Indian states as per the Census 2011:

Population density (persons per sq. km) by state (UTs not included)

Stages of India’s Population Growth

• The growth of population in India reflects a classical case of Demographic Transition, broadly corresponding to the stages given by Frank W. Notestein, but with strong regional disparities and temporal lags, making it a non-uniform transition across space.

Phase I (1901–1921): Period of Stagnant Population (High Stationary Stage)

• This phase corresponds to Stage I of Demographic Transition, often termed as primitive or stagnant stage, characterised by very high birth rate and death rate (around 40 per thousand each), resulting in almost negligible population growth and even decline in certain years.
• The period was marked by extreme demographic instability due to:
  • Frequent epidemics (plague, influenza pandemic of 1918)
  • Recurring famines and droughts
  • Heavy loss of population during World War I
  • Very low life expectancy and poor health infrastructure
• The year 1921 is known as the “Demographic Divide” because it recorded an absolute decline in population, marking the transition from stagnation to steady growth thereafter.
• Spatial dimension:
  • Northern India experienced population decline due to severe famines and epidemics,
  • North-East (Assam region) showed relatively higher growth due to in-migration of plantation labour and comparatively lower mortality crises,
  • Southern India showed relatively stable trends owing to lesser intensity of famines and epidemics.

Phase II (1921–1951): Period of Steady Growth (Early Expanding Stage)

• This phase marks India’s entry into Stage II of Demographic Transition, where birth rate remained high but death rate declined significantly (~20 per thousand), leading to moderate but consistent population growth.
• The decline in mortality was driven by:
  • Expansion of public health measures and vaccination
  • Improvement in medical facilities and sanitation
  • Better transport and communication, enabling food distribution
  • Early institutional interventions (though limited in scale)
• Population increased from ~251 million (1921) to ~361 million (1951).
• Spatial pattern:
  • North, East and South India broadly followed national trends,
  • Central India recorded relatively lower growth due to higher mortality and out-migration,
  • Western India (Mumbai–Ahmedabad industrial belt) showed higher growth due to industrialization-led in-migration, highlighting early population–economic linkage.

Phase III (1951–1981): Period of Rapid Growth / Population Explosion (Late Expanding Stage)

• This phase is characterised by explosive population growth, with sharp decline in death rate (down to ~12 per thousand by 1981) while birth rate remained high (~40 per thousand initially), resulting in high natural increase.
• Population increased from 361 million (1951) to ~683 million (1981), nearly doubling within three decades.
• This phase reflects the classic “mortality decline without fertility decline”, often discussed in demographic literature.
• Major drivers include:
  • Public health improvements, disease control, immunization
  • Green Revolution and improved food security
  • Expansion of developmental infrastructure
• Spatial variation:
  • Northern and Hindi heartland states recorded very high growth due to persistently high fertility,
  • Southern states began showing early signs of fertility decline due to higher literacy and social development, indicating regional divergence in demographic transition.
• From a theoretical lens, this phase partially reflects Thomas Robert Malthus’s concern of rapid population growth, though India avoided major crises due to technological and institutional responses, aligning with Ester Boserup’s argument on innovation under population pressure.

Phase IV (1981–2011): High Growth with Deceleration (Transitioning Stage)

• This phase marks India’s movement into Stage III of Demographic Transition, where both birth and death rates decline, but birth rate declines faster, leading to gradual slowdown in population growth.
• Key features:
  • Growth rate peaked around 1971 (~2.48%) and declined thereafter
  • Birth rate declined from ~36 per thousand to ~22 per thousand (2009)
  • Continued decline in death rate with improved healthcare
• Although absolute population addition remained high:
  • ~182 million added (1991–2001)
  • ~180 million added (2001–2011)
    → indicating declining growth rate but large base effect
• Important demographic changes:
  • Decline in child population (0–14 age group)
  • Rising working-age population (demographic dividend phase)
  • Increasing urbanization and literacy
• Regional contrast remained sharp:
  • North India (UP, Bihar) → high growth
  • South India (Kerala, TN) → low growth and near replacement fertility

Phase V (2011–Present & Future Trends): Towards Stabilization

• India is currently moving towards late Stage III / early Stage IV, characterised by:
  • Low fertility (TFR ~2.0)
  • Slowing population growth (~0.8–1%)
  • Rising median age (~28 years)
• According to UN DESA projections:
  • India will peak at around 1.65–1.7 billion by 2060s,
  • After which population is expected to stabilize and eventually decline.
• Earlier projections of crossing China by 2028 have already materialised in 2023, indicating faster-than-expected demographic shift.
• Emerging spatial pattern:
  • Demographic lag regions → BIMARU states still in higher fertility phase
  • Advanced regions → South India, parts of West India in near-zero growth regime

• India’s population growth is not a uniform temporal process but a spatially differentiated transition, where different regions are located at different stages of demographic transition simultaneously.
• The country exhibits:
  • North–South divide in fertility and growth,
  • Rural–urban differential in demographic behaviour,
  • Strong link between literacy, urbanization and fertility decline.
• 👉 Thus, India represents a “multi-speed demographic transition”, making it a classic case study in Population Geography.

Spatial Patterns of Population Growth in India

• Population growth in India exhibits pronounced spatio-temporal variation, indicating that demographic transition is not uniform but regionally differentiated, a point emphasized in population geography where growth patterns are closely linked with levels of socio-economic development, migration and cultural factors.
• Broad Regional Pattern
  • A clear north–south divide is visible in India’s population growth:
    • Southern states (Kerala, Tamil Nadu, Andhra Pradesh, Karnataka) have either stabilized or are approaching stabilization, characterised by low fertility, high literacy, better health indicators and advanced demographic transition (Stage III/IV).
    • In contrast, the northern Hindi belt (Bihar, Uttar Pradesh, Madhya Pradesh, Rajasthan) continues to exhibit relatively high growth rates, reflecting higher fertility, lower female literacy and slower socio-economic transformation, often described as “demographic lag regions”.
• High Growth Regions (Demographic Lag Zones)
  • Several large and populous states continue to record high decadal growth rates (2011 context):
    • Bihar (~25%), Uttar Pradesh (~20%), Jharkhand (~22%), Chhattisgarh (~22%), and earlier Jammu & Kashmir (~23.7%)
    • These regions are characterised by:
      • High Total Fertility Rate (TFR)
      • Low female literacy and empowerment
      • Predominantly agrarian economy
  • Among smaller states:
    • Meghalaya (~27.8%) and Arunachal Pradesh (~25.9%) recorded high growth, partly due to high fertility and relatively lower out-migration
  • 👉 These regions broadly correspond to areas still in early Stage III of Demographic Transition, showing fertility-driven growth.
• Moderate to Low Growth Regions (Transitional Zones)
  • States like Gujarat, Haryana, Punjab, West Bengal, Assam and Maharashtra show moderate growth rates, indicating:
    • Declining fertility
    • Increasing urbanization
    • Structural transformation of economy
  • These regions represent a transitional demographic regime, where both fertility and growth rates are gradually declining.
• Low Growth / Stabilized Regions
  • States such as:
    • Kerala (~4.9%), Tamil Nadu, Andhra Pradesh, Karnataka, Goa
    • Have recorded very low growth rates (often single digit)
  • Kerala, in particular, represents a model case of advanced demographic transition, comparable to developed countries due to:
    • High literacy (especially female literacy)
    • Better healthcare
    • Low infant mortality
    • High age at marriage
  • 👉 These regions are approaching Stage IV (low birth–low death regime).
• Union Territories and Migration-led Growth
  • Some Union Territories have recorded exceptionally high growth rates:
    • Dadra & Nagar Haveli (~55.5%)
    • Daman & Diu (~53.5%)
  • This is largely due to:
    • High in-migration driven by industrialization and employment opportunities
    • Not natural increase but migration-induced growth, highlighting the role of economic pull factors in population redistribution.
• Negative or Anomalous Growth Regions
  • Certain regions show abnormal or negative growth trends, such as:
    • Nagaland, where growth declined sharply from very high levels to negative (-0.47%), due to:
      • Out-migration
      • Enumeration issues
      • Socio-political disturbances
  • Similarly, island regions like Lakshadweep and Andaman & Nicobar Islands show low growth rates, reflecting:
    • Limited carrying capacity
    • Out-migration
    • Small population base effects
• Urban–Industrial Growth Centres
  • The fastest-growing population clusters are found in urban-industrial regions, such as:
    • Mumbai Metropolitan Region
    • Delhi NCR
    • Gujarat industrial belt (Ahmedabad–Surat–Vadodara)
    • Bengaluru, Hyderabad, Pune
  • These areas grow rapidly due to:
    • Rural–urban migration
    • Expansion of secondary and tertiary sectors
    • Better employment opportunities
  • 👉 This aligns with Wilbur Zelinsky’s Mobility Transition Model, where economic development leads to increased migration and urban concentration.
• The spatial variation in growth reflects:
  • Notestein’s demographic transition, but with regional time-lags,
  • A mix of Malthusian pressure (in high growth regions) and Boserupian adaptation (in developed regions),
  • Strong linkage between literacy, urbanization, and fertility decline, confirming that demographic change is development-driven rather than uniform.

Population Growth in Empowered Action Group and Non-Empowered Action Group States

• For a more refined spatial understanding, Indian states are grouped into Empowered Action Group (EAG) and Non-EAG states, a classification used in policy and population geography to identify demographic lag regions versus advanced transition regions.
• Basic Classification and Significance
  • The EAG states include:
    • Rajasthan, Uttar Pradesh, Uttarakhand, Bihar, Jharkhand, Madhya Pradesh, Chhattisgarh and Odisha
    • These are often referred to as “high fertility–high growth belt” or BIMARU-type regions, characterised by low literacy, high poverty, weak health infrastructure and slow demographic transition
  • The Non-EAG states and UTs include:
    • Southern, Western and most North-Eastern states
    • These represent advanced demographic transition regions, with low fertility, higher literacy and better socio-economic indicators
  • EAG states together account for roughly 43–46% of India’s total population, making them demographically decisive regions, as changes here largely determine India’s overall population trajectory.
• Growth Trends: Temporal Analysis
  • During 1951–1971, both EAG and Non-EAG regions recorded high population growth, reflecting the mortality decline phase of Demographic Transition, where improvements in healthcare and food supply reduced death rates across the country.
  • However, from 1971 onwards, a clear divergence emerged:
    • Non-EAG states experienced continuous decline in growth rate, driven by:
      • Declining fertility
      • Rising literacy (especially female literacy)
      • Urbanization and economic diversification
    • EAG states, in contrast, continued to show high growth (~25%), indicating slow fertility transition and demographic lag
• 1991–2001: Divergence and National Impact
  • During this decade:
    • EAG states maintained high growth rates, almost unchanged from the previous decade
    • Non-EAG states showed sharp decline in growth rates
  • This divergence led to:
    • A significant decline (~23%) in India’s overall growth rate, largely due to progress in Non-EAG regions
    • Increasing concentration of population growth in EAG states, reinforcing regional imbalance
• 2001–2011: Beginning of Convergence
  • For the first time, EAG states showed noticeable decline in growth rate (about 4 percentage points), indicating:
    • Spread of education and awareness
    • Improved access to healthcare and family planning
    • Gradual fertility decline
  • Simultaneously, Non-EAG states continued their declining trend, resulting in:
    • Overall reduction in India’s growth rate by ~3.9%
  • 👉 This phase marks the beginning of demographic convergence, though disparities still persist.
• Contemporary Trends (Post-2011)
  • Recent evidence (NFHS-5, UN estimates) shows:
    • Even EAG states are witnessing declining TFR, though still above replacement level in states like Bihar and UP
    • Non-EAG states have largely achieved replacement or below-replacement fertility
  • This suggests India is moving towards:
    • Gradual demographic convergence, but at uneven pace
    • A classic example of “multi-speed demographic transition”

Reasons for High Population Growth in India

• India’s high population growth (historically) is not the result of a single factor but a complex interaction of demographic momentum, socio-cultural norms, economic conditions and institutional gaps, which together sustain relatively high fertility despite declining mortality, reflecting a lagged and regionally uneven demographic transition.
• Demographic Momentum
  • A fundamental reason highlighted in National Population Policy (2000) is the presence of a very large proportion of population in reproductive age group (15–49 years), which ensures that even with declining Total Fertility Rate (TFR), absolute population continues to grow, a phenomenon known as population momentum, making India’s growth partly structural and unavoidable in the short term.
• Poverty and Economic Factors
  • Poverty creates conditions for high fertility, as noted by Adam Smith, where economically weaker sections treat children as:
    • Economic assets and future breadwinners,
    • Social security in absence of formal welfare systems,
  • High poverty is also associated with:
    • Low access to healthcare and contraception,
    • High infant mortality, prompting families to have more children as a risk-buffer strategy.
• Socio-Cultural and Traditional Factors
  • Indian society, especially in rural and traditional regions, is characterised by:
    • Early marriages, increasing reproductive span of women,
    • Joint family system, encouraging higher fertility,
    • Strong son preference, leading to repeated childbirth until a male child is born,
    • Limited reproductive autonomy of women, resulting in higher fertility levels
  • According to NPP (2000), son preference alone accounts for a significant share (~60%) of population growth, reflecting deep-rooted patriarchal norms.
• High Infant Mortality Rate (IMR) and Health Insecurity
  • High Infant Mortality Rate (IMR) historically led families to have more children due to uncertainty of survival, contributing nearly 20% of population growth (as per NPP estimates).
  • Causes of high IMR include:
    • Poor nutrition levels,
    • Lack of institutional deliveries,
    • Dependence on untrained birth attendants,
    • Inadequate maternal and child healthcare
  • Thus, high IMR reinforces a “high fertility–high mortality trap”, slowing demographic transition.
• Low Contraceptive Use and Awareness
  • The low couple protection rate (CPR)—i.e., limited use of contraceptives—is another major factor contributing to high growth (around 20% as per NPP).
  • This is linked with:
    • Lack of awareness and education,
    • Cultural resistance to contraception,
    • Inadequate health infrastructure in rural areas,
  • Certain conservative social and religious attitudes also discourage family planning measures, though their impact varies regionally.
• Frequent and Unplanned Pregnancies
  • High fertility is also driven by frequent and often unwanted pregnancies, resulting from:
    • Lack of female education,
    • Limited access to reproductive healthcare,
    • Poor implementation of family planning programs
  • Early marriage further extends reproductive span, amplifying total births per woman.
• Regional Disparities
  • High growth is concentrated in demographic lag regions (Bihar, Uttar Pradesh, Madhya Pradesh, Rajasthan), where:
    • Literacy is low (especially female literacy),
    • Poverty is high,
    • Social conservatism is stronger
  • In contrast, states like Kerala and Tamil Nadu show low growth due to:
    • High literacy
    • Better healthcare
    • Greater female empowerment
  • 👉 This reflects a strong inverse relationship between literacy (especially female literacy) and TFR, a key geographical correlation.
• Role of Women and Reproductive Rights
  • The lack of reproductive rights and decision-making power among women is a critical factor sustaining high fertility in many regions.
  • The importance of women’s empowerment was globally emphasized in the International Conference on Population and Development, which highlighted that population stabilization is closely linked with gender equality, education and health.
• Policy Measures (NPP 2000 Approach)
  • The National Population Policy (2000) suggested a multi-dimensional approach to reduce population growth:
    • Raising age at marriage to reduce reproductive span
    • Promoting spacing between children
    • Enhancing female education and awareness
    • Addressing patriarchal attitudes and son preference
    • Strengthening maternal and child healthcare systems
    • Ensuring 100% institutional deliveries and trained birth assistance
    • Providing nutritional support and financial incentives (e.g., schemes like DWCRA, Janani Suraksha Yojana)
• Case Study Insight (Kerala Model)
  • Kerala demonstrates that religion is not the determining factor of fertility, but rather education and social development:
    • Despite significant Muslim and Christian population, Kerala has low TFR (~1.6–1.8)
    • Districts like Malappuram show low fertility due to high female literacy and awareness
  • In contrast, states like Bihar and Uttar Pradesh continue to have higher TFR due to low literacy and limited female empowerment, reinforcing the development–fertility linkage.

Conclusion

• India’s high population growth is best understood as a product of demographic momentum combined with socio-economic and cultural factors, rather than merely high fertility.
• The transition towards stabilization depends on:
  • Improving female literacy and empowerment
  • Strengthening healthcare and family planning
  • Reducing regional disparities
• 👉 Thus, population growth in India is not just a demographic issue but a developmental and geographical challenge, requiring region-specific and socially inclusive interventions.

Fertility Rate in India (Number of Children per Woman)

• Total Fertility Rate (TFR) refers to the average number of children a woman is expected to bear during her reproductive span (15–49 years) and is a key indicator of population growth and stage of demographic transition.
• Earlier estimates (around 2013) placed India’s TFR at ~2.2, but recent data shows a significant decline:
  • NFHS-5 (2019–21): ~2.0
  • India has now reached (and in many states gone below) replacement level fertility (2.1)
• This decline indicates that India is moving towards late Stage III / early Stage IV of Demographic Transition, though with regional disparities.
• Spatial pattern of fertility:
  • High TFR states: Bihar (~3.0), Uttar Pradesh (~2.4), Jharkhand → reflect low literacy, high poverty and early marriage
  • Replacement or below replacement states: Kerala, Tamil Nadu, Karnataka, Andhra Pradesh, Maharashtra → associated with high female literacy and urbanization
• The fertility pattern strongly supports the demographic principle that “fertility declines with development”, aligning with Frank W. Notestein’s framework.

Sex Ratio in India (Females per 1000 Males)

• Sex ratio is a crucial indicator of gender balance and social development, reflecting not only biological factors but also socio-cultural practices and gender inequality.
• Earlier estimates (2013–15, NITI Aayog) suggested a low sex ratio (~900 females per 1000 males), indicating significant gender imbalance.
• However, recent data shows improvement:
  • Census 2011: 943
  • NFHS-5 (2019–21): ~1020 (improved overall sex ratio)
• Despite improvement in overall sex ratio, concerns remain:
  • Child sex ratio (0–6 years) remains low in several states
  • Reflects persistence of son preference, sex-selective practices and gender bias
• Spatial pattern:
  • High sex ratio: Kerala, Tamil Nadu → linked with higher female literacy and better status of women
  • Low sex ratio: Haryana, Punjab, parts of Western UP → associated with patriarchal norms and son preference