Population Structure and Composition: Age-Sex Pyramid, Dependency Ratio and Workforce Questions

Question 1

What is age composition?

Accepted Answer

Age composition is the distribution of population into different age groups such as children, working-age and elderly.

Question 2

Define sex ratio.

Accepted Answer

Sex ratio is the number of females per 1000 males in a population.

Question 3

What is an age–sex pyramid?

Accepted Answer

An age–sex pyramid is a graph that shows the distribution of population by age groups separately for males and females.

Question 4

What is dependency ratio?

Accepted Answer

Dependency ratio is the number of dependents (children and elderly) per 100 working-age people.

Question 5

State one importance of age structure for business.

Accepted Answer

Age structure helps businesses estimate demand for age-specific products and services (any one importance).

Question 6

What is labour force?

Accepted Answer

Labour force includes people who are employed and those who are unemployed but actively seeking work.

Question 7

Explain any three uses of age–sex pyramid.

Accepted Answer

Uses of age–sex pyramid include:

1) It shows the proportion of children, working-age and elderly population.
2) It indicates demographic trends such as high births (wide base) or aging (wider upper ages).
3) It helps in planning services like education, employment and healthcare based on age groups.

(Any three uses can be written.)

Question 8

Write any three types of population pyramids and what they indicate.

Accepted Answer

Types of population pyramids are:

1) Expansive: wide base, indicates high birth rate and young population.
2) Stationary: near-rectangular, indicates stable birth and death rates.
3) Constrictive: narrow base and wider middle/top, indicates low births and aging population.

(Any three types with indication can be written.)

Question 9

Explain dependency ratio and its significance (any three points).

Accepted Answer

Dependency ratio measures the number of dependents (0–14 and 60/65+) per 100 working-age people (15–59/64).

Significance:
1) A high dependency ratio indicates higher burden on earning population.
2) It affects household savings and consumption patterns.
3) It helps governments and businesses plan spending on education and healthcare.

(Any three points can be written.)

Question 10

Differentiate between working-age population and labour force (any three points).

Accepted Answer

Working-age population and labour force differ as follows:

1) Working-age population is an age group (often 15–59/64), whereas labour force includes those actually working or seeking work.
2) Working-age includes students, homemakers and others not seeking jobs, whereas labour force excludes those not participating.
3) Labour force depends on participation rate and opportunities, while working-age is mainly a demographic count.

(Any three points can be written.)

Question 11

Write any three business implications of a youth-heavy population.

Accepted Answer

Business implications of a youth-heavy population include:

1) Higher demand for education services, coaching and skill training.
2) Increased consumption of youth-oriented products like smartphones, fashion and entertainment.
3) Need for more entry-level jobs, internships and recruitment-focused industries.

(Any three points can be written.)

Question 12

Explain sex composition and mention any three business implications.

Accepted Answer

Sex composition means the distribution of population into males and females (often expressed using sex ratio).

Business implications:
1) It affects labour supply and female workforce participation, influencing recruitment and workplace policies.
2) It helps in planning certain services/products where demand differs (e.g., women’s health services, personal care), while avoiding stereotypes.
3) It supports inclusive marketing and access planning for banking, digital services and safety-related offerings.

(Any three points can be written.)

Question 13

Explain age–sex pyramid and its uses for business planning.

Accepted Answer

An age–sex pyramid is a graphical representation of population distribution by age groups and sex. Generally, males are shown on the left side and females on the right side, with younger ages at the bottom and older ages at the top. The shape of the pyramid gives a quick picture of whether a population is young, stable or aging.

Age–sex pyramids are useful in business planning in many ways. First, they help in understanding the size of different market segments. A wide base indicates a large child population, which increases demand for baby products, schooling, clothing and food items. A larger middle section indicates a strong working-age population, which often increases demand for jobs, housing, transportation, banking and consumer durables.

Second, pyramids help businesses forecast future demand. If the youth group is large today, the demand for higher education, entry-level jobs and first-time purchases (smartphones, two-wheelers) may increase in a few years. If the upper ages are expanding, it indicates aging, which increases demand for healthcare, insurance, retirement products and assisted living services.

Third, age–sex pyramids support workforce planning. A growing working-age group suggests larger potential labour supply, while an aging workforce may require reskilling and replacement planning.

Thus, an age–sex pyramid works like a “future market map” and helps businesses plan products, services and manpower based on demographic realities.

Question 14

Explain dependency ratio with formula and discuss its impact on economy and business.

Accepted Answer

Dependency ratio is an indicator that shows the burden of dependents on the working-age population. Dependents generally include children (0–14 years) and the elderly (60/65+ years). Working-age population is usually taken as 15–59 or 15–64 years.

Formula (basic):
Dependency ratio = [(Population 0–14 + Population 60/65+) / Population 15–59/64] × 100.

A high dependency ratio means that fewer working-age people support more dependents. This has economic and business impacts. At the household level, a high dependency ratio can reduce savings because more income is spent on education, healthcare and basic needs of dependents. Reduced savings may limit investment and purchasing power.

At the national level, governments may need to spend more on schools, child welfare, pensions and health services. For business, high child dependency can increase demand for education services, childcare, nutrition and affordable consumer goods. High old-age dependency increases demand for healthcare, pharmaceuticals, insurance and retirement services.

On the other hand, a lower dependency ratio and a large working-age population can support higher production and consumption, which can benefit business growth. Therefore, dependency ratio is a key demographic indicator for forecasting markets, planning services and understanding economic pressure on families and society.

Question 15

Discuss population structure (age and sex) and explain how it influences market segmentation and workforce planning.

Accepted Answer

Population structure refers to the arrangement of people in a population according to categories such as age and sex. Age structure tells us how many children, youth, adults and elderly are present, while sex composition shows the balance between males and females (often expressed through sex ratio). These structural characteristics strongly influence both market segmentation and workforce planning.

In market segmentation, age structure is one of the most practical bases. Different age groups have different needs and consumption patterns. A young population creates higher demand for education, toys, fast-moving consumer goods, fashion, smartphones and sports-related services. A population with a large working-age group increases demand for housing, transportation, banking, digital services, consumer durables and career-related products. An aging population increases demand for healthcare, medicines, insurance, assistive devices and retirement planning.

Sex composition also influences segmentation where relevant, such as women’s health services, safety products, personal care and certain financial products, but businesses should avoid stereotypes and use data ethically.

In workforce planning, age structure helps estimate labour supply. A large working-age population can provide more workers, but actual labour force depends on education, skills and participation rates. Sex composition affects female labour participation and the diversity of the talent pool. Businesses can plan recruitment, training and inclusion policies based on these realities.

Therefore, understanding age and sex structure helps businesses segment markets accurately and plan manpower effectively for present and future needs.

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