Every ten years, India’s census throws up one number that tells us more about gender equality than almost any other statistic: the sex ratio. It sounds like a dry demographic term, but behind it lies a story of missing daughters, skewed marriage markets, and decades of policy struggle. The Census 2011 findings on this front sparked national debate and continue to shape welfare schemes today. Let’s break down what sex ratio actually means, what the 2011 numbers revealed, and why this single ratio carries so much social weight.

Table of Contents

What is sex ratio?

Sex ratio is a demographic indicator that measures the number of females per 1000 males in a given population. Unlike some other demographic measures, it is not a percentage but a direct count comparison, which makes it easy to track gender balance over time.

In India, the sex ratio is officially recorded through the decennial Census of India, conducted by the Office of the Registrar General and Census Commissioner. Between census years, agencies like the Sample Registration System also release annual estimates, though the census figure remains the benchmark most researchers and policymakers rely on. A sex ratio of 1000 would indicate perfect parity between men and women. Anything below that number signals a shortfall of women relative to men, and anything above it signals the opposite.

It is worth distinguishing sex ratio from two related but different terms: the sex ratio at birth (SRB), which counts girls born per 1000 boys, and the child sex ratio (CSR), which measures the ratio specifically among children aged 0 to 6 years. Both are narrower lenses that often reveal sharper imbalances than the overall population figure.

India’s sex ratio: Census 2011 findings

According to the provisional results of Census 2011, India’s overall sex ratio stood at 940 females per 1000 males, a gain of 7 points over the 933 recorded in Census 2001. This was the highest sex ratio the country had recorded since 1971, though still short of the 1961 figure.

The national average, however, hides sharp regional contrasts. Kerala topped the list with 1084 females per 1000 males, making it the only major state with more women than men, largely credited to higher female literacy, better healthcare access, and matrilineal traditions in parts of the state. Among union territories, Puducherry led with 1038. At the other end, Daman and Diu recorded the lowest ratio in the country at 618, a figure heavily distorted by a large male migrant workforce in its industrial units rather than an actual deficit of women.

Among the major states, Haryana recorded the lowest sex ratio at 879 females per 1000 males, a distinction it has carried for several census cycles. Neighbouring states like Punjab and parts of western Uttar Pradesh also reported below-average ratios, forming what demographers often call the “son preference corridor” of north-west India.

Child sex ratio: a bigger red flag

While the overall sex ratio improved in 2011, the picture for children told a different story. The child sex ratio (0-6 years) stood at just 914 females per 1000 males, continuing a decline that has been unbroken since 1961. This gap between the overall ratio improving while the child ratio worsens is one of the clearest statistical signals of sex-selective practices before or shortly after birth, rather than simply differences in life expectancy or migration.

Only a handful of states, including Punjab, Haryana, Himachal Pradesh, Gujarat, Tamil Nadu, and Mizoram, showed an improving trend in child sex ratio compared to 2001. In the remaining states and union territories, the ratio continued to slide, which is why child sex ratio, more than the overall figure, tends to dominate policy conversations.

Why sex ratio data matters

Sex ratio is not just a number for textbooks. It functions as an early-warning indicator for three overlapping problems: sex-selective practices such as female foeticide, differential mortality caused by neglect of girls’ health and nutrition, and migration patterns that pull working-age men or women out of certain regions.

Because it captures all three factors at once, sex ratio data becomes a foundation for targeted welfare and health policy. Two of India’s most visible legal and policy responses grew directly out of concerns exposed by census sex ratio trends.

The Pre-Conception and Pre-Natal Diagnostic Techniques (PC&PNDT) Act, 1994 was enacted to prohibit sex determination and sex-selective abortion. It remains the primary legal tool used to prosecute clinics and individuals who misuse diagnostic technology to identify and abort female foetuses.

On the awareness and welfare side, the Beti Bachao Beti Padhao scheme, launched in January 2015 from Panipat in Haryana, was a direct response to the declining child sex ratio revealed by Census 2011. It is run jointly by the Ministries of Women and Child Development, Health and Family Welfare, and Education, and combines stricter PC&PNDT enforcement with awareness campaigns and support for girls’ education, focusing first on 100 districts with the poorest child sex ratios.

Social implications of a skewed sex ratio

An imbalanced sex ratio does not stay confined to statistics tables. It reshapes everyday social life in ways that researchers have studied closely, particularly in states where the shortfall of women is severe.

Marriage market pressure

The most immediate consequence is what demographers call a marriage squeeze. When men significantly outnumber women in the marriageable age group, competition for brides intensifies. Research published by the United Nations Population Fund (UNFPA) in India has documented how this shortage has driven cross-region marriages, with women migrating from states with more balanced sex ratios, such as parts of eastern India, to marry men in states like Haryana and Punjab where brides are scarce. This pattern has also been linked to shifts in dowry practices, since a shortage of local brides can reduce the negotiating power that traditionally favoured the groom’s family.

Safety and empowerment concerns

A surplus of men relative to women has also been connected to higher risks for the women who remain in these regions. A study published in the peer-reviewed journal hosted on PubMed Central found that in areas with a pronounced male surplus, women faced greater vulnerability to forced marriage, restricted autonomy in partner choice, and in some cases, coercive sexual dynamics within marriage. The same imbalance has been associated in other research with delayed marriages for men, rising rates of bride trafficking in some pockets of northern India, and, in extreme cases, informal practices like polyandry within a single household.

Family structures and long-term demographics

Beyond marriage and safety, skewed sex ratios alter family structures over generations. Households with fewer daughters lose access to a traditional support system, since daughters and daughters-in-law often play significant caregiving roles for ageing parents in Indian households. At a larger scale, a persistently low child sex ratio today translates into fewer women of marriageable and working age two decades later, which is why policymakers treat this indicator as a long-term planning concern rather than a one-time statistic.

What do you think?

What do you think? Do you think economic development alone can correct sex ratio imbalances over time, or does it require sustained legal enforcement like the PC&PNDT Act? And looking at Kerala’s example, what factors do you think matter most in building a more balanced sex ratio: education, healthcare access, or cultural attitudes toward daughters?

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References
  1. https://www.pib.gov.in/newsite/PrintRelease.aspx?relid=71383&reg=48&lang=2
  2. https://www.ijraset.com/fileserve.php?FID=13810
  3. https://www.pib.gov.in/newsite/PrintRelease.aspx?relid=98466
  4. https://www.pmindia.gov.in/en/government_tr_rec/beti-bachao-beti-padhao-caring-for-the-girl-child/
  5. https://india.unfpa.org/sites/default/files/pub-pdf/Sex%20Ratio%20Imbalances%20and%20Marriage%20Squeeze.pdf
  6. https://pmc.ncbi.nlm.nih.gov/articles/PMC4465812/

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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