Which one among the following may be considered a reason for India having ‘high dependency’ ratio ?

1. Basic Demographic Indicators: TFR and Replacement Level (basic)

To understand how a country’s economy grows, we first need to look at the people who drive it. The most fundamental metric here is the Total Fertility Rate (TFR). Think of TFR as a projection: it represents the average number of children that would be born to a woman if she were to live through her entire child-bearing years (usually 15–49) Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.258. It is a vital health and economic indicator because it tells us whether a population is expanding, shrinking, or staying the same.

But how do we know if a population is "stable"? This brings us to Replacement Level Fertility (RLF). This is the specific TFR at which a population exactly replaces itself from one generation to the next, without any migration Indian Economy, Nitin Singhania (ed 2nd 2021-22), Population and Demographic Dividend, p.570. While you might think the number should be exactly 2.0 (one child to replace each parent), the global standard is actually 2.1. Why the extra 0.1? It is a "buffer" to account for the sad reality that not every female child born will survive to reach her own child-bearing years Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.258.

In the context of India, there has been a massive shift. According to the latest National Family Health Survey (NFHS-5), India's TFR has declined to 2.0, which is actually below the replacement level of 2.1 Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.258. This signifies a turning point in our demographic history: our population growth is slowing down, leading us toward a phase where we have fewer young dependents and a larger working-age population—a concept we call the "demographic dividend."

Indicator	Definition	Significance
Total Fertility Rate (TFR)	Average children born per woman during her lifetime.	Determines future workforce size and consumer base.
Replacement Level Fertility (RLF)	The TFR (usually 2.1) where population stays stable.	The benchmark for sustainable population management.

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Inclusive growth and issues, p.258; Indian Economy, Nitin Singhania (ed 2nd 2021-22), Population and Demographic Dividend, p.570

2. The Demographic Transition Model (DTM) (intermediate)

The Demographic Transition Model (DTM) is a fundamental theory used to describe how a country's population structure evolves as its economy develops. It suggests that every society moves from a state of high birth rates and high death rates to low birth rates and low death rates as it progresses from a rural, agrarian, and illiterate society to an urban, industrial, and literate one FUNDAMENTALS OF HUMAN GEOGRAPHY, CLASS XII, The World Population Distribution, Density and Growth, p.10. This shift is not just about numbers; it reflects deep changes in healthcare, education, and economic structure.

Understanding the stages of the DTM is crucial for grasping how population impacts economic growth:

Stage	Characteristics	Economic Context
Stage I	High Birth Rate (BR) & High Death Rate (DR). Population growth is stagnant.	Agrarian societies where large families are labor assets, but lack of medical facilities leads to high mortality Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.559.
Stage II	High BR & Rapidly Declining DR. This is the "Population Explosion" phase.	Improvements in sanitation and healthcare reduce deaths, but social norms keep birth rates high. India is currently in the later phase of this stage Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.576.
Stage III	Declining BR & Low DR. Population growth slows down.	Urbanization and literacy lead to smaller family sizes as children become an economic cost rather than a labor asset CONTEMPORARY INDIA-I, Geography, Class IX, Population, p.53.

A key concept within this transition is the Dependency Ratio, which compares the dependent population (children aged 0-14 and elderly aged 60+) to the working-age population (15-59). During the early part of Stage II, countries often face a high dependency ratio because of a massive surge in the youth population Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.573. However, as these children grow up and birth rates start to fall, the country enters a "Demographic Dividend" phase, where the workforce is large and the dependency burden is low, providing a significant boost to economic growth.

Sources: FUNDAMENTALS OF HUMAN GEOGRAPHY, CLASS XII, The World Population Distribution, Density and Growth, p.10; Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.559, 573, 576; CONTEMPORARY INDIA-I, Geography, Class IX, Population, p.53

3. National Income and Population Quality (basic)

To understand economic growth, we must look beyond just total production and see the quality of the people driving it. Population is not merely a number to be fed; it is a human resource. When we invest in this resource through education, training, and medical care, it undergoes human capital formation. Much like a factory (physical capital) produces goods, human capital—comprised of healthy, skilled, and educated individuals—increases the productive power of a nation Economics, Class IX NCERT, People as Resource, p.16.

While GDP growth tells us about the overall performance of the economy, Per Capita GDP (Total GDP divided by Population) is a better indicator of the actual level of economic development and the standard of living Indian Economy, Nitin Singhania, National Income, p.3. If the population grows faster than the GDP, the average person actually becomes poorer. Therefore, the 'quality' of the population—their health and skills—is what allows the Per Capita Income to rise by making each individual more productive Indian Economy, Vivek Singh, Fundamentals of Macro Economy, p.28.

A critical concept here is the Dependency Ratio. This is the ratio of 'dependents' (children aged 0–14 and the elderly aged 60+) to the 'working-age population' (aged 15–59). Historically, India faced a high dependency ratio because of a very large youth population. However, as fertility rates decline and health improves, India is moving into a demographic dividend phase, where the proportion of working-age people is high, potentially boosting national income significantly if they are well-trained and healthy Indian Economy, Vivek Singh, Inclusive growth and issues, p.277.

Sources: Economics, Class IX NCERT, People as Resource, p.16; Indian Economy, Nitin Singhania, National Income, p.3; Indian Economy, Vivek Singh, Fundamentals of Macro Economy, p.28; Indian Economy, Vivek Singh, Inclusive growth and issues, p.277

4. The Demographic Dividend: Window of Opportunity (intermediate)

Let’s dive into one of the most exciting concepts in Indian economics: the Demographic Dividend. Think of this not just as a large population, but as a specific age structure that acts as a tailwind for economic growth. It is defined as the economic growth potential that results from shifts in a population’s age structure, specifically when the share of the working-age population (typically 15 to 59 or 20 to 59 years) is larger than the non-working-age share Indian Economy, Vivek Singh, Inclusive growth and issues, p.259.

The core engine behind this dividend is the Dependency Ratio. This is the ratio of dependents (children aged 0-14 and the elderly aged 60+) to the working-age population. Historically, India faced a high dependency ratio because of high fertility rates, meaning a massive section of the population (nearly 37-42% in the late 20th century) was under 14 and required resources without contributing to production Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.573. As birth rates fall, this 'youth bulge' moves into the workforce, lowering the dependency ratio and creating a surplus of labor and savings.

Why do we call it a "Window of Opportunity"? Because it is temporary. As the working-age population eventually grows older, the dependency ratio will begin to rise again, this time driven by the elderly. According to current projections, India's working-age population (20-59 years) is expected to peak around 2041, reaching roughly 59% of the total population Indian Economy, Vivek Singh, Inclusive growth and issues, p.259. Currently, we are in a 'sweet spot' where over 62% of our population is in the 15-59 age bracket Geography of India, Majid Husain, Cultural Setting, p.97.

To visualize this transition, look at the components of the dependency ratio:

Population Phase	Primary Dependency Driver	Impact on Economic Growth
High Fertility Stage	Children (0-14 years)	Heavy burden on education and healthcare; low savings.
Demographic Dividend	Bulge in Working Age (15-59)	High productivity, increased savings, and rapid capital formation.
Aging Society	Elderly (60+ years)	Rising pension and geriatric healthcare costs; shrinking labor force.

Sources: Indian Economy, Vivek Singh, Inclusive growth and issues, p.259; Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.573; Geography of India, Majid Husain, Cultural Setting, p.97

5. Human Resource Development and Skill Gap (exam-level)

In the journey of economic growth, Human Resource Development (HRD) is the process of increasing the knowledge, skills, and capacities of all the people in a society. While a large population is often seen as a burden, HRD transforms it into an asset. However, India currently faces what experts call a 'Dual Challenge': a significant shortage (paucity) of highly trained professionals in technical fields, paired with the 'non-employability' of many conventionally educated youths who lack practical, job-ready skills Indian Economy, Vivek Singh (7th ed. 2023-24), Indian Economy after 2014, p.240. This mismatch between the skills the market demands and the skills the workforce possesses is known as the Skill Gap.

To bridge this gap, the government shifted focus from mere education to empowerment through skilling. The National Policy for Skill Development and Entrepreneurship (2015) was designed as an umbrella framework to align skilling activities with common standards and link them directly to demand centers. Its vision is built on the pillars of Scale, Speed, and High Standards INDIA PEOPLE AND ECONOMY, NCERT 2025 ed., Population: Distribution, Density, Growth and Composition, p.8. This is crucial because, as our economy evolves, the workforce is naturally shifting away from the primary sector (agriculture) toward the secondary and tertiary sectors, which require much more specialized technical competencies Indian Economy, Nitin Singhania (ed 2nd 2021-22), Poverty, Inequality and Unemployment, p.54.

Sector	1950-51 Share	2017-18 Share	Skill Requirement
Primary	72.7%	42.4%	Basic/Traditional
Secondary	10.0%	24.9%	Technical/Vocational
Tertiary	17.3%	32.6%	Specialized/Digital

Understanding this transition is vital for UPSC because it highlights why 'Economic Growth' cannot be sustained by capital alone; it requires quality labor. The National Youth Policy (2014) specifically identifies the 'youth' as those aged 15–29 years, emphasizing that this demographic must achieve its 'full potential' for India to find its rightful place globally INDIA PEOPLE AND ECONOMY, NCERT 2025 ed., Population: Distribution, Density, Growth and Composition, p.8. Without addressing the skill gap through initiatives like the Closing the Skills Gap Task Force (a collaboration with the World Economic Forum), India risks losing out on its demographic dividend Indian Economy, Nitin Singhania (ed 2nd 2021-22), International Economic Institutions, p.549.

Sources: Indian Economy, Vivek Singh (7th ed. 2023-24), Indian Economy after 2014, p.240; INDIA PEOPLE AND ECONOMY, NCERT 2025 ed., Population: Distribution, Density, Growth and Composition, p.8; Indian Economy, Nitin Singhania (ed 2nd 2021-22), Poverty, Inequality and Unemployment, p.54; Indian Economy, Nitin Singhania (ed 2nd 2021-22), International Economic Institutions, p.549

6. Social Security for Vulnerable Age Groups (intermediate)

In the journey of economic development, a nation is only as strong as its most vulnerable members. Social Security refers to the action programs an administration provides to promote the welfare of the population through assistance measures. In India, the focus remains primarily on two ends of the age spectrum: children (0-14 years) and the elderly (60+ years). These groups form the 'dependent' part of the population, and their well-being is a critical indicator of inclusive economic growth.

For children, social security is not just about survival, but about ensuring human capital formation. The government utilizes institutional frameworks like the National Commission for Protection of Child Rights (NCPCR), an autonomous body under the Ministry of Women and Child Development, to ensure that every policy aligns with the UN Convention on the Rights of the Child Indian Polity, M. Laxmikanth, p.484. Programs like the Integrated Child Development Services (ICDS) and financial incentives for the girl child are pivotal in improving the Child Sex Ratio (CSR) and ensuring foundational nutrition and education Indian Economy, Nitin Singhania, p.571.

On the other end of the spectrum, as life expectancy rises, providing old-age security becomes a fiscal and moral priority. This is managed through two main tracks: social assistance for the poor and contributory pensions for the workforce. The National Social Assistance Programme (NSAP), launched in 1995, provides a safety net for the destitute through the National Old Age Pension Scheme and the National Family Benefit Scheme Environment and Ecology, Majid Hussain, p.21. For the wider citizenry, the National Pension System (NPS) acts as a regulated investment-cum-pension model to ensure financial independence in later years Indian Economy, Vivek Singh, p.268.

Target Group	Primary Objective	Key Schemes/Bodies
Children	Nutrition, Education, Protection	ICDS, NCPCR, Mid-Day Meal
Elderly	Financial Security, Health Support	NSAP, National Pension System (NPS)
Rural Vulnerable	Integrated Development	DWCRA, Indira Awaas Yojana Geography of India, Majid Husain, p.20

Sources: Indian Polity, M. Laxmikanth, National Commission for Protection of Child Rights, p.484; Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.571; Environment and Ecology, Majid Hussain, Contemporary Socio-Economic Issues, p.21; Indian Economy, Vivek Singh, Inclusive growth and issues, p.268; Geography of India, Majid Husain, Regional Development and Planning, p.20

7. Understanding the Dependency Ratio Structure (exam-level)

The Dependency Ratio is a fundamental metric used to understand the economic burden placed on the productive section of a country's population. It is essentially the ratio of people who are generally not in the labor force (the 'dependents') to those who are typically productive. This ratio is crucial because a higher value implies that the working-age population and the overall economy face a greater responsibility to support and provide for the non-working age groups through taxes, healthcare, and education.

Structurally, the population is divided into three age cohorts to calculate this: those aged 0-14 (young dependents), those aged 15-59 (the working-age population), and those aged 60 and above (elderly dependents). According to the standard definition, the formula is:

Dependency Ratio = [Population (0-14) + Population (60+)] ÷ Population (15-59) Indian Economy, Nitin Singhania, Chapter 19, p. 573.

Historically, India has dealt with a high dependency ratio, but the driver was primarily the 'younger' end of the spectrum. Throughout the late 20th century, high fertility rates meant that a massive 37% to 42% of India's population was in the 0-14 age group Geography of India, Majid Husain, Chapter 13, p. 95. For instance, in 1970, the dependency ratio was as high as 79.3, meaning for every 100 working people, there were nearly 80 dependents to support Indian Economy, Nitin Singhania, Chapter 19, p. 573.

We are currently in a transition phase. As fertility rates decline, the proportion of children is falling, while the working-age group (15-59) is expanding. This shift is what we call the Demographic Dividend. However, the structure is projected to shift again; by 2050, approximately 20% of the population will be over 60, meaning the 'burden' will shift from supporting children to supporting an aging population Indian Economy, Nitin Singhania, Chapter 19, p. 573.

Sources: Indian Economy, Nitin Singhania, Population and Demographic Dividend, p.573; Geography of India, Majid Husain, Cultural Setting, p.95

8. Solving the Original PYQ (exam-level)

Now that you have mastered the building blocks of Age Composition and Demographic Transition, you can see how the Dependency Ratio is simply the mathematical application of those concepts. As you learned, this ratio measures the pressure on the productive part of the population by comparing those typically outside the workforce (ages 0-14 and 60+) to those within it (ages 15-59). According to Indian Economy by Nitin Singhania, India’s historical high dependency was a direct result of its position in the second stage of demographic transition, where high fertility rates created a "bottom-heavy" population pyramid. To arrive at the correct answer, you must look for the specific age group that increases the numerator in the dependency formula without contributing to the denominator.

Walking through the logic, (B) Large section of population is in the age group of 0-14 years is the only choice that fits the structural definition of dependency. Historically, this younger cohort accounted for nearly 40% of India’s population, as noted in Geography of India by Majid Husain. The coach's tip here is to focus on the "burden": more children mean more resources diverted to health and education before those individuals can contribute to the economy. While India is currently transitioning into a Demographic Dividend phase, where the working-age population is rising, the question specifically asks why the ratio was considered "high" in the first place.

UPSC frequently uses "distractor" options to test your conceptual clarity. Option (A), High rate of population growth, is a common trap; while growth often correlates with many children, it is the resulting age structure, not the growth rate itself, that defines the ratio. Option (C) is the exact opposite of the answer—a high percentage in the 15-59 group leads to a low dependency ratio. Finally, Low pace of human resource development (Option D) is a qualitative issue regarding the workforce's skill level, whereas the dependency ratio is a quantitative measure of age brackets. Always distinguish between the quality of the population and the structural mathematics of the age groups.