By the end of this chapter you'll be able to…

  • 1Explain the concept of sex ratio and interpret its global and regional variations
  • 2Describe the age-sex structure of populations using population pyramids
  • 3Calculate and interpret the dependency ratio
  • 4Analyse the literacy rate as a demographic indicator and discuss its implications
  • 5Describe the occupational structure of populations (primary, secondary, tertiary) and its link to development
💡
Why this chapter matters
Population composition — especially age-sex structure, sex ratio, literacy, and occupational structure — is a regular 3-mark topic in CBSE Geography. The concepts of dependency ratio and population pyramid link this chapter to Chapter 2 (World Population). Demographic indicators like sex ratio and literacy are also tested in the context of India's census data.

Population Composition

"A population is not just a number. It is a mosaic of ages, genders, skills, and cultures."

1. Chapter Overview

Population COMPOSITION goes beyond how MANY people — it examines WHO they ARE: their AGE structure, SEX ratio, LITERACY levels, occupational structure, and URBAN/RURAL distribution. These characteristics DETERMINE a country's development path, policy priorities, and future challenges.


2. Age Structure — The Age-Sex Pyramid

The AGE-SEX PYRAMID is the most powerful visual tool in demography. It shows the DISTRIBUTION of a population by AGE and SEX.

Three Types of Age-Sex Pyramids

TypeShapeCharacteristicsExamples
ExpandingBROAD base, rapidly NARROWING to the top (true pyramid)HIGH birth rate, HIGH death rate. Many children; few elderly.Niger, Chad, Afghanistan
StationaryBELL-SHAPED. Roughly equal all ages, narrowing only at the top.Birth rate ≈ Death rate. Stable population.USA, France
ContractingNARROW base, BROADER middle and top (urn-shaped/ inverted pyramid)LOW birth rate. Shrinking population. Ageing society.Japan, Italy, Germany

Age Groups and Dependency Ratio

  • 0–14: Young dependents (consume but don't produce)
  • 15–64: WORKING AGE population (producers) — 'THE DEMOGRAPHIC DIVIDEND'
  • 65+: Elderly dependents
  • Dependency Ratio = [(0-14) + (65+)] / (15-64) × 100. A HIGH ratio = more DEPENDENTS per worker. A LOW ratio = DEMOGRAPHIC DIVIDEND.

3. Sex Ratio

  • Number of FEMALES per 1,000 MALES
  • Global average: ~1,020 females/1,000 males (females OUTNUMBER males globally — women live longer)
  • INDIA: historically LOW sex ratio. 2011 Census: 940 females/1,000 males. Improving — NFHS-5 (2019–21): 1,020 females/1,000 males.
  • Causes of LOW sex ratio in parts of the world: son preference, sex-selective practices, higher maternal mortality, neglect of girl children.

4. Literacy Rate

  • Percentage of population aged 7+ who can READ and WRITE with understanding
  • Global: ~86%. India: 74.04% (Census 2011). Improving.
  • Gender gap: globally, female literacy LAGS male literacy. In India: male ~82%, female ~65% (2011).
  • Literacy is the FOUNDATION of human capital. It correlates with: lower birth rates, better health, higher incomes, political participation.

5. Occupational Structure

SectorWhat It IncludesWealthy CountriesPoor Countries
PrimaryAgriculture, mining, fishing, forestrySMALL (~2-5%)LARGE (~40-60%)
SecondaryManufacturing, constructionMODERATE (~20-25%)SMALL-MODERATE
TertiaryServices (banking, IT, healthcare, education, trade)LARGE (~70-80%)MODERATE

As countries DEVELOP, they shift: PRIMARY → SECONDARY → TERTIARY.


6. Exam Focus

  1. Age-Sex pyramid — 3 types (expanding, stationary, contracting). Which countries.
  2. Dependency ratio — formula. India's demographic dividend.
  3. Sex ratio — definition. India's ratio and reasons for low ratio.
  4. Occupational structure — three sectors. Development = shift from primary to tertiary.
  5. Literacy — gender gap. Importance for development.

7. Conclusion

A population is not a faceless mass:

  • AGE: The pyramid tells the story. Broad base = growing. Narrow base = shrinking.
  • SEX: Who is missing? Sex ratio reveals gender discrimination.
  • LITERACY: The foundation of everything else.
  • OCCUPATION: Three sectors. The SHIFT from field to factory to office IS development.

'Demography is the study of people — not as numbers, but as members of a generation, a gender, a workforce, a society.'

Key formulas & results

Everything you need to memorise, in one card. Screenshot this for revision.

Sex Ratio and Its Variations
SEX RATIO — TWO CONVENTIONS: (1) INDIA: Number of females per 1,000 males. India 2011: 940 females/1,000 males. (2) INTERNATIONAL: Number of males per 100 females (or the ratio stated directly). GLOBAL AVERAGE: ~102 males per 100 females at birth (slightly more males born); by age 25+ females outnumber males globally because male mortality is higher at all ages. REGIONAL VARIATIONS: MALE-HEAVY sex ratios (fewer females relative to males): South Asia (India, China, Pakistan) — due to son preference, female foeticide/infanticide, neglect of girl children. Gulf states — because male migrant workers outnumber female residents. FEMALE-HEAVY sex ratios: Eastern Europe (Russia, Ukraine) — male mortality from alcoholism, cardiovascular disease; war losses. Most of Western Europe — natural female longevity advantage. HIGHEST FEMALE RATIO (India): Kerala (1,084 females per 1,000 males). LOWEST (India): Haryana (879). National (2011): 940.
CBSE tests: (1) Define sex ratio — India uses females per 1,000 males; globally males per 100 females. (2) Why is it below 1000 in India? Son preference, female foeticide, nutritional neglect. (3) Which Indian state has highest/lowest? Kerala (highest = 1,084); Haryana (lowest = 879). These are 1-mark direct questions.
Age Structure and Dependency Ratio
AGE STRUCTURE: distribution of population across age groups. Standard groupings: 0–14 (young/children), 15–64 (working-age/adults), 65+ (elderly). DEPENDENCY RATIO = (Population aged 0–14 + Population aged 65+) / (Population aged 15–64) × 100. LOW DEPENDENCY RATIO (e.g., ~40): Most people are working-age — good for economic productivity. HIGH DEPENDENCY RATIO (e.g., ~80): Many children or elderly relative to workers — burden on economy. TWO TYPES: YOUTH DEPENDENCY: high proportion of 0–14 (developing countries — Stage II/III DTM). AGED DEPENDENCY: high proportion of 65+ (developed countries — Stage IV/V DTM). DEMOGRAPHIC DIVIDEND: occurs when youth dependency falls but aged dependency has not yet risen — the 'sweet spot' when the working-age proportion is at its maximum.
India's dependency ratio is FALLING as birth rates decline and the working-age population grows — this is the demographic dividend window (2020–2045). Japan and Germany have RISING dependency ratios as their populations age — creating economic pressure on pension and healthcare systems.
Literacy Rate
LITERACY RATE: percentage of population aged 7+ who can read and write with understanding in any language. GLOBAL AVERAGE: ~87% (2023). DEVELOPED WORLD: near 99%. DEVELOPING WORLD: significant gaps, especially for women. INDIA 2011: Overall 74.04% (Male 82.14%, Female 65.46%). INDIA 2023 (estimated): ~78%. HIGHEST LITERACY (India): Kerala ~94%. LOWEST: Bihar 61.8% (2011). GENDER GAP IN LITERACY: In most developing countries, female literacy lags male literacy — because of early marriage, domestic duties, safety concerns for girls travelling to school, and lower perceived value of girls' education. IMPLICATIONS: Literacy correlates with: lower fertility (educated women have fewer children), lower infant mortality (literate mothers follow health advice), higher wages, better political participation.
CBSE tests literacy as both a definition question and a data interpretation question. The gender gap in literacy is a key gender inequality indicator — linked to the GII (Gender Inequality Index). For board answers: define literacy, state India's overall rate (~74%, 2011), note the gender gap (male 82%, female 65%), and give Kerala as best example.
Occupational Structure
OCCUPATIONAL STRUCTURE: proportion of population employed in different sectors. PRIMARY SECTOR: agriculture, forestry, fishing, mining, quarrying. SECONDARY SECTOR: manufacturing, construction, power generation. TERTIARY SECTOR: services — trade, transport, banking, education, healthcare, IT. QUATERNARY SECTOR: knowledge-based activities — research, IT, consulting, information management. DEVELOPMENT LINK: Developing countries: high % in primary sector (subsistence agriculture — low productivity). Developed countries: small % in primary; large % in tertiary/quaternary. As a country develops, labour moves from primary → secondary → tertiary (structural transformation). INDIA: Primary ~43% of workforce (2020-21 data); Secondary ~25%; Tertiary ~32%. But agriculture contributes only ~18% of GDP — showing low productivity in the sector employing the most people.
This mismatch — 43% of workers in agriculture but only 18% of GDP — is India's central structural economic challenge. Compare with USA where <2% work in agriculture but it contributes ~1% of GDP (because American farmers use capital-intensive methods). India's goal (National Policy on Agriculture, various Five-Year Plans): increase agricultural productivity so that the primary sector can release labour to secondary/tertiary.
⚠️

Common mistakes & fixes

These are the exact errors that cost students marks in board exams. Read them once, save yourself the trouble.

WATCH OUT
Using sex ratio interchangeably between India's convention and the international convention
India measures sex ratio as FEMALES per 1,000 MALES. So India's 940 means 940 females for every 1,000 males — a 'female deficit.' Internationally, sex ratio is often expressed as males per 100 females — so a ratio of 106 (at birth) means slightly more males than females. ALWAYS state which convention you're using when answering. In CBSE context, sex ratio = India's convention (females per 1,000 males) unless otherwise specified.
WATCH OUT
Saying 'high literacy = developed country' as a causal explanation without explaining the mechanism
Literacy correlates with development but neither one simply causes the other in isolation. High literacy enables: better health decisions (lower IMR), lower fertility (smaller families invest more per child), higher wages (better-educated workers are more productive), better governance (literate citizens can engage politically). It's a virtuous cycle — literacy enables development, which enables more education. The mechanism matters for board answers: state what literacy enables, not just 'literacy causes development.'

Practice problems

Try each one yourself before tapping "Show solution". Active recall > rereading.

Q1EASY· sex-ratio
What is sex ratio? Why is the sex ratio in India less than 1,000?
Show solution
SEX RATIO (India definition): The number of females per 1,000 males in a population. India 2011: 940 females per 1,000 males. WHY LESS THAN 1,000 IN INDIA: (1) SON PREFERENCE: In much of India, sons are preferred because they inherit property, support parents in old age (especially in the absence of social security), and carry on the family name. This preference leads to: (2) SEX-SELECTIVE ABORTION / FEMALE FOETICIDE: Despite being illegal under the Pre-Conception and Pre-Natal Diagnostic Techniques (PCPNDT) Act, 1994, sex-selective abortions continue in states like Haryana, Punjab, Gujarat, Rajasthan. (3) FEMALE INFANTICIDE: Though declining, deliberate neglect or killing of girl infants persists in some communities. (4) NEGLECT OF GIRL CHILDREN: Girls receive less nutrition, less healthcare, and less attention than boys — leading to higher female child mortality. STATE VARIATION: Kerala has India's highest sex ratio (1,084) — reflecting its high female literacy (~92%), women's economic participation, and social status. Haryana has the lowest (879) — reflecting intense son preference and the practice of sex-selective abortion.
Q2MEDIUM· dependency-ratio
What is the dependency ratio? How does it differ between developing and developed countries?
Show solution
DEPENDENCY RATIO: The ratio of the 'dependent' population (children 0–14 + elderly 65+) to the working-age population (15–64), expressed as a percentage: Dependency Ratio = [(0–14 population + 65+ population) / (15–64 population)] × 100. It measures the economic burden on the working-age population. DEVELOPING COUNTRIES (e.g., Nigeria, Ethiopia): HIGH dependency ratio, dominated by YOUTH DEPENDENCY. Large proportions of children (40–45% of population aged 0–14) because of high birth rates (Stage II/III DTM). Small elderly population (low life expectancy). Each worker must support many children — limiting savings, investment, and capital accumulation. DEVELOPED COUNTRIES (e.g., Germany, Japan): Dependency ratio is HIGH but dominated by AGED DEPENDENCY. Few children (low birth rates, narrow pyramid base). Large elderly population (long life expectancy, Stage IV/V DTM). Economic pressure: fewer workers supporting more retirees. Pension systems and healthcare costs rise. Different types of pressure: developing countries need investment in schools, maternity care, and children's health; developed countries need investment in pensions, elderly care, and geriatric healthcare. TRANSITION — DEMOGRAPHIC DIVIDEND: When a country moves from Stage II to Stage III (birth rates start falling), the youth dependency drops faster than aged dependency rises — creating a period of LOW overall dependency ratio. This is the demographic dividend window when economic growth can accelerate.
Q3HARD· occupational-structure
How does the occupational structure of a population reflect the level of economic development? Discuss with reference to India.
Show solution
OCCUPATIONAL STRUCTURE AND DEVELOPMENT: The distribution of a country's workforce across primary, secondary, and tertiary sectors is one of the most reliable indicators of its economic development stage. THEORY — STRUCTURAL TRANSFORMATION: As economies develop, labour shifts from agriculture (primary) to manufacturing (secondary) and then to services (tertiary/quaternary). This happens because: agricultural productivity rises with technology (fewer workers needed for same output); industrial growth creates manufacturing jobs; rising incomes create demand for services. DEVELOPED COUNTRIES: Primary sector employment: <5%. United States: ~1.5% in agriculture. Germany: ~1.5%. These countries use capital-intensive, mechanised agriculture — a small workforce produces enough food for the whole nation, plus exports. Secondary: 20–30% (manufacturing, construction). Tertiary/Quaternary: 65–80% (services, knowledge economy). DEVELOPING COUNTRIES: Primary sector employment: 40–70%. Sub-Saharan Africa: ~60–70% in subsistence agriculture (low productivity). India: ~43% in primary sector (2020-21). INDIA'S STRUCTURAL PARADOX: India's primary sector employs ~43% of the workforce but contributes only ~18% of GDP. This means agricultural workers are vastly less productive per person than service sector workers. India's IT sector employs <1% of the workforce but contributes ~8% of GDP. This 'structural mismatch' is India's central development challenge: transforming agricultural workers into industrial/service workers requires: (1) education and vocational training, (2) creating enough non-agricultural jobs (India needs ~9 million new jobs/year), (3) improving agricultural productivity so land supports fewer workers. TRENDS: India's structural transformation is slow — agriculture's share of employment fell from ~70% (1950) to ~43% (2020), while its GDP share fell from ~50% to ~18%. The gap between employment and output share in agriculture = measure of how much productivity must increase.

5-minute revision

The whole chapter, distilled. Read this the night before the exam.

  • Sex ratio (India): females per 1,000 males. India 2011: 940. Kerala: 1,084. Haryana: 879.
  • Low sex ratio causes: son preference, female foeticide (PCPNDT Act 1994), neglect of girls.
  • Age structure: 0–14 (young), 15–64 (working), 65+ (elderly).
  • Dependency ratio = (0–14 + 65+) / 15–64 × 100. Lower = better economic productivity.
  • Youth dependency: developing countries. Aged dependency: developed countries.
  • Demographic dividend: low dependency ratio window — India 2020–2045.
  • Literacy: % of population 7+ who can read/write. India 2011: 74% (male 82%, female 65%).
  • Kerala literacy: ~94%. Bihar: ~62%. Gender gap in literacy is a key development issue.
  • Occupational structure: primary → secondary → tertiary/quaternary as countries develop.
  • India: ~43% in primary sector, only 18% of GDP — structural mismatch shows low agricultural productivity.

CBSE marks blueprint

Where the marks come from in this chapter — so you can plan your prep.

Typical chapter weightage: 3-5 marks

Question typeMarks eachTypical countWhat it tests
Short Answer — Definitions31Sex ratio definition and India's low sex ratio; dependency ratio; literacy rate and its significance; define occupational structure
Long Answer — Analysis50-1Occupational structure and development; age-sex composition and its implications; literacy and development linkage
Prep strategy
  • Sex ratio: India = females per 1,000 males. National (2011) = 940. Kerala 1,084 (highest). Haryana 879 (lowest). Causes of low sex ratio: son preference, female foeticide, neglect.
  • Dependency ratio formula: (0–14 + 65+ population) / (15–64 population) × 100. Know the difference: developing countries = youth dependency; developed countries = aged dependency.
  • Occupational structure: primary (agriculture/mining) → secondary (manufacturing) → tertiary (services) → quaternary (knowledge). More development = less primary, more tertiary.

Where this shows up in the real world

This chapter isn't just an exam topic — it lives in the world around you.

India's Beti Bachao Beti Padhao Programme

India's declining child sex ratio (0–6 years) — from 945 in 1991 to 927 in 2001 to 918 in 2011 — triggered the Beti Bachao Beti Padhao (Save the Daughter, Educate the Daughter) programme in 2015. The programme focused on 100 districts with the worst sex ratios (many in Haryana, Punjab, Rajasthan). By combining enforcement of the PCPNDT Act, social awareness campaigns, and conditional cash transfers for girl children's education, the child sex ratio in targeted districts improved from 918 (2014-15) to 934 (2019-20). This shows how demographic indicators (sex ratio, literacy) directly drive policy interventions.

Exam strategy

Battle-tested tips from teachers and toppers for this chapter.

  1. For sex ratio questions: define using India's convention (females/1,000 males), give the national figure (940, 2011), state causes (son preference, female foeticide, neglect), and name the extremes (Kerala 1,084; Haryana 879). Five elements = full marks.
  2. For occupational structure: always connect to development stage. More agricultural = less developed. More services/quaternary = more developed. India's 43% in agriculture + 18% of GDP shows the productivity gap — this data is a strong answer element.

Going beyond the textbook

For olympiad aspirants and curious learners — topics that build on this chapter.

  • Research AMARTYA SEN's concept of 'missing women' — Sen calculated in 1990 that there were approximately 100 million 'missing women' in Asia (mostly India and China) — women who should statistically exist but do not, because of sex-selective practices, discrimination in healthcare, and female infanticide. Updated estimates (2020) suggest ~142 million missing women globally. This is the demographic expression of gender discrimination with profound implications for sex ratios and social development
  • Study HANS ROSLING's work (Gapminder Foundation) on how demographic indicators reveal development trajectories. Rosling showed that most people have outdated mental models of world demographics — e.g., most of the world's countries have now achieved literacy rates above 70% and fertility below 3. His TED talks ('The Best Stats You've Ever Seen') use dynamic visualisation to show how demographic composition has changed and what it implies for the future

Where else this chapter is tested

CBSE board isn't the only one — other exams test this chapter too.

CBSE Class 12 Board (Geography)High
UPSC Prelims (Population, Demography)High
CUET (Geography)Medium

Questions students ask

The real ones — pulled from the Q&A community and tutor sessions.

Developed countries (Germany, Japan, Italy) have AGED DEPENDENCY — the elderly (65+) form an increasingly large share of the population. With birth rates well below replacement (TFR ~1.4–1.5), fewer young people are born each year, meaning fewer workers will be available in future to support a growing elderly population. This creates fiscal pressure: (1) Pension systems designed when workers vastly outnumbered retirees now struggle — Japan has ~2.1 workers per retiree (2023); the US has ~2.7. (2) Healthcare costs for the elderly (chronic diseases, long-term care) are rising. (3) Economic growth slows when the labour force shrinks. Solutions being debated: raise the retirement age, increase immigration, encourage higher birth rates (pro-natalist policies — France, Hungary), and increase labour productivity through automation.
Verified by the tuition.in editorial team
Last reviewed on 27 May 2026. Written and reviewed by subject-matter experts — read about our process.
Editorial process →
Header Logo