Age Structure

A broad base shows that the country currently has a large child population, but it does not guarantee that future birth cohorts will remain equally large. Population growth depends strongly on future fertility, as well as mortality and migration. If fertility falls rapidly, the number of births to later generations can decrease even while the present large child cohort is still growing up.

As a result, the age pyramid may gradually narrow at the base, and population growth may slow after a period of momentum. Option A is correct. A continuously rising birth rate would tend to sustain or increase growth, and falling life expectancy does not by itself explain slower growth when births are rising. Immigration of young people would generally add to, rather than necessarily slow, growth.

A rising old-age dependency ratio means that older people are becoming a larger share relative to the working-age population. Older adults are more likely to need regular monitoring and treatment for chronic conditions such as diabetes, heart disease, or arthritis, as well as rehabilitation, mobility assistance, medicines, and long-term care. Health services must therefore adapt to continuing rather than only emergency needs.

Option B is correct because expanding chronic disease management and geriatric care directly responds to these changing needs. Maternal services must not be eliminated, and sports grounds or neonatal units alone cannot meet the requirements of an ageing population. A balanced health system should continue essential services for all ages while giving greater capacity to elderly and long-term care.

A high youth dependency ratio means that children make up a large population compared with the working-age group. In the short term, families and governments must provide schooling, vaccination, health care, nutrition, and other child-related services for many people who are not yet working. This can place pressure on household budgets and public facilities. In the longer term, however, these children may enter working ages and create a large labour force.

Option A correctly states both sides. The future benefit is only potential: it depends on education, health, skills, jobs, and suitable economic policies. A high youth dependency ratio does not describe a pension burden, so option B is unsuitable. It also does not guarantee that children will later become scarce, and it cannot mean that ageing will end. Option D ignores the clear short-term costs and the possible long-term demographic opportunity.

A demographic dividend is not produced simply by having many working-age people. It also depends on whether the economy can convert their potential into productivity, saving, investment, and better living standards. Savings can provide funds for investment and capital formation.

Here the working-age population is increasing, but the savings rate is not. This suggests that the saving-and-capital-formation channel is not becoming stronger, or is failing to operate as expected. The other options are not recognised channels for explaining this economic outcome: infant mortality, geographical area, and weather change do not directly identify the missing dividend mechanism. Thus, option A is correct.

A large group aged 15–24 is approaching the transition from education or training into employment. If many of them enter the labour market at about the same time, the region may face a large number of new job seekers in the near future. In contrast, a very small group aged 0–9 indicates that fewer children are moving through the early stages of the age structure. After several years, this smaller cohort will reach working age, so the number of new labour-market entrants may decline.

Option A is therefore the most likely change. It describes a near-term increase followed by a later decrease in labour-market entry, without claiming that every individual will obtain a job. Option B is unsupported because a small child cohort does not increase every year. Option C is unrelated and impossible to infer, while option D ignores the clear difference between the two cohorts. Cohort timing is the key idea.

Total dependency combines youth dependency and old-age dependency. An increase in the elderly share can push old-age dependency upward, but total dependency depends on what happens to both dependent groups relative to the working-age population. If fertility has fallen, the number of children may decline rapidly. The reduction in youth dependency can be larger than the increase in old-age dependency, producing a lower total dependency ratio even while the elderly percentage rises.

Option A correctly describes this possibility. It does not say that old-age dependency must fall; it says that the decline in youth dependency can be faster than the rise in old-age dependency. Option B is too absolute because total dependency reflects both components. Option C would make the ratio undefined or economically meaningless, and option D is not required. The main lesson is that an ageing population and a falling total dependency ratio can occur together during demographic transition.

The mean age is calculated using the ages of all people, so unusually large or small groups can pull it upward or downward. The median age is the middle point: half the population is younger and half is older. They are equal only in some distributions, not as a general rule.

If the average age rises, the population may be becoming older overall. If the gap between mean and median also widens, the ages are likely not distributed symmetrically. A relatively large group at one end, or another uneven concentration, may influence the mean more strongly than the median. This supports the interpretation in option A; it does not prove that every age group is equal or that no elderly people exist.

Age structure affects how many children need services and how resources can be allocated to them. If the child population becomes smaller, a country may be able to spend the same total education budget across fewer children. This can raise spending per child and may support better teaching, school facilities, health, nutrition or skill development, although higher spending does not guarantee better outcomes.

For example, if an unchanged budget is divided among 10 million children instead of 12 million, the amount available per child can increase. Governments may also deliberately increase the budget while the cohort is shrinking, making the rise per child even larger. Fewer children do not remove the need for education, and spending per child does not immediately reduce the working-age population. Thus, option A correctly shows how a smaller cohort can create an opportunity for greater human-capital investment.

A high elderly share is an important feature of age structure, but it does not by itself determine the exact economic burden of ageing. The effect depends on health status, independence, labour-force participation, family support, public services, technology, and the organisation of care. Healthy older people may need less intensive assistance and may continue contributing through paid work, household work, volunteering, or other activities. Technology can also make monitoring, treatment, communication, and daily support more efficient.

Therefore, option A is the appropriate conclusion. Age structure remains important because a large elderly population can still influence pensions, health services, and care planning. However, better health and technology can reduce or modify the expected cost. Option B wrongly assumes that the effect is identical everywhere. Option C ignores the connection between health and care needs, while option D goes too far: technology changes consequences but does not make age structure irrelevant.

Dependents are generally defined here as children aged 0–14 and elderly people aged 65 and above. The working-age group is 15–64. To find the total dependent percentage, add the shares of the two dependent groups: \(21\%+16\%=37\%\).

The working-age share of 63% is not added because it represents the non-dependent reference group in this question. The three stated shares also total \(21+63+16=100\%\), confirming that the age groups cover the whole population. Therefore, the total dependent percentage is 37 percent, so option A is correct. A value such as 47 percent comes from an incorrect calculation.

A larger working-age population creates an opportunity, not an automatic economic benefit. To produce a demographic dividend, people need education, relevant skills, good health, productive jobs, and fair access to work. When female education remains very low, women may have fewer skills and fewer opportunities to enter or remain in paid employment. This reduces the effective use of the working-age population.

Option A is correct because weak female education can limit human capital, labour-force participation, income, and productivity. It may also weaken health and educational outcomes for the next generation. A rising working-age share does not automatically maximise the dividend or remove dependency. Nor does it necessarily reduce the elderly population; the age structure and mortality patterns determine that separately.

Rapid population ageing changes the balance between people who may need support and those of working age who can provide income and care. If the number of elderly people grows relative to the working-age population, fewer workers may have to help finance pensions and public services. Families may also spend more time and money on medical care, daily assistance and emotional support for older relatives.

This pressure can be shared through government programmes, community services, savings and improved health systems, so it does not mean that every family will face the same burden. It also does not end children’s education or make working-age people independent of social security. Family roles and household arrangements may change as care needs rise. Therefore, option A best describes the likely intergenerational pressure: more financial and care responsibility may fall on a relatively smaller working-age group.

An age pyramid shows the size of different age cohorts. A very broad 30–49 group represents a large generation. About 20 years later, much of this group will be around 50–69 years old, so it will move closer to or into the elderly category. At the same time, a rapidly narrowing base indicates that younger cohorts are smaller.

As the large cohort ages and fewer young people follow it, the elderly share of the total population is likely to rise. Therefore, option A is the most likely outcome. The base will not automatically widen, because that depends on future births. The child group need not become the largest, and the working-age population cannot be assumed to remain unchanged; migration, mortality and fertility can also affect it.

An age group’s absolute number depends on two factors: its percentage share and the total population. A rising percentage does not guarantee a rising number when the total population is shrinking. In symbols, the group size is \(p\times N\), where \(p\) is the share and \(N\) is total population.

For example, if total population falls from 100 to 70 and the working-age share rises from 60% to 65%, the group changes from \(0.60\times100=60\) to \(0.65\times70=45.5\). Its percentage rises, but its actual number falls. Thus, if total decline is larger than the percentage increase, working-age numbers can decrease. Option A is correct.

Age structure shows the proportions of children, working-age people, and older persons, allowing planners to anticipate how these groups will change over time. A large child cohort implies future demand for schools, teachers, and later employment. A large working-age cohort affects labour supply, skills, housing, and job creation, while a growing elderly group increases demand for health care, social security, and pensions. Thus, age structure connects present demographic composition with future economic and social requirements. Total population alone cannot show which services will be needed, and weather or land-use mapping is not its broadest planning use. Option A is correct.

The 0–4 age group consists of children born most recently, whereas the 5–9 group represents births from an earlier five-year period. If the younger group is much smaller, fewer children have been born recently than in the preceding period. The most likely explanation is a recent decline in fertility or birth rates. A rise in fertility would normally enlarge the 0–4 base, not reduce it. Changes in elderly mortality or elderly migration would mainly affect the upper part of the pyramid and cannot directly explain the contrast between these two child cohorts. Hence, option B is correct.

A population pyramid shows the population’s age and sex distribution. A narrow base indicates relatively small younger cohorts, while the broad 35 to 49 group represents a large cohort. Over the next twenty years, many members of that cohort will move into older age groups. This makes an increase in the elderly population likely; elderly dependency may also rise, depending on the size of the working-age population. Option B is the best answer. The pyramid does not support a guaranteed rise in fertility or a doubling of the working-age population.

A narrow base usually indicates that recent birth cohorts are small. Those cohorts will take many decades to reach age 60, while the current number of older people mainly reflects earlier cohorts. So the elderly share can still be modest now, even though low fertility may contribute to population ageing in the future. Option A describes this time lag.

A large working-age population creates an opportunity, not an automatic economic gain. Poor health can reduce people’s ability to work, lower productivity, and increase time and resources spent on treatment. These effects can weaken the economic benefits expected from a large workforce. Therefore, option A is correct.

In about ten years, much of the current 10–19 cohort will be around 20–29, so it may increase the working-age population. The currently small 0–9 cohort will follow it into working ages later, producing smaller incoming cohorts unless migration changes the pattern. This is a possible age-structure effect, not a certainty about employment. Option A captures the cohort progression.

The dependency ratio compares people outside the usual working-age group with those in the working-age group. Here, children aged 0–14 and older people aged 65 and above are treated as dependents. Their combined share is \(26+13=39\) percent. The working-age share is 61 percent. Therefore the total dependency ratio is \(39/61\times100\approx63.93\), or about 64 dependents per 100 working-age persons.

Option B is correct. A common mistake is to choose 39 merely because that is the dependent population’s percentage of the total population. The question asks for dependents per 100 working-age people, so the dependent share must be divided by 61, not by 100. The age groups add to 100 percent, confirming that the supplied data are internally consistent.

Age structure changes as existing cohorts grow older and move into the next age groups. A rapid fall in birth rate produces smaller new child cohorts, so the share of children generally declines. However, a large group that is already young does not disappear; during the next 15 years many of them enter adolescence and working ages.

Therefore option B is correct: the child share falls while large young cohorts move into the working-age population. The elderly do not immediately disappear, and age groups do not suddenly become equal. Option A reverses the likely effect of falling births. The exact outcome also depends on mortality and migration, but among the choices B is the best supported conclusion.

The total dependency ratio is made up of youth dependency plus old-age dependency. It compares dependants with the working-age population, but the required calculation here only needs the additive relationship. Thus, if the total and youth components are known, the old-age component is found by subtraction. The same total dependency ratio is given for both countries, so their different youth values produce different old-age values.

For country X, old-age dependency is \(60-45=15\). For country Y, it is \(60-25=35\). Country Y therefore has the higher old-age dependency, and the difference is \(35-15=20\) points. Hence option B is correct. The comparison is in dependency-ratio points, not necessarily a 20 percent difference.

The total dependency ratio compares dependent people with the working-age population. In a common form, it is \(Dependency\ Ratio=\frac{Children+Elderly}{Working\text{-}age\ population}\times100\). If many people aged 20–34 leave, the denominator becomes smaller. If the numbers of children and elderly people remain nearly unchanged, the numerator stays nearly the same. A similar numerator divided by a smaller denominator produces a higher ratio.

Therefore option B is correct. The fact that total population falls does not mean the ratio falls, because the departing people are mainly from the working-age group. Option C overlooks the reduced denominator, and option D is impossible while dependents remain. The result assumes the stated age groups represent the working-age base and that other changes are small.

Working-age population and employed population measure different things. The first is a demographic category based mainly on age, such as people within a defined working-age range. It may include students, homemakers, people seeking work, people unable to work, and people outside the labour force. The second counts people who actually have employment, according to the relevant statistical definition. Therefore, 67 percent being of working age does not mean that 67 percent are employed; the 48 percent figure shows a smaller employed share.

Choice B is correct because it clearly separates age structure from labour-market participation. Choice A is contradicted by the two percentages. Choice C cannot be concluded because a demographic dividend also depends on education, health, jobs, productivity, and supportive policies. Choice D is wrong because the dependency ratio is primarily an age-based measure, not a direct measure determined only by employment.