Age Structure

The correct answer is B. Total population depends on the number of people, but age structure depends on how those people are distributed among age groups. If 1,000 young people enter an area and 1,000 elderly people leave, the total population does not change because the numerical balance is zero. Nevertheless, the area now has a larger share of young people and a smaller share of elderly people. This can affect future births, schools, employment needs and dependency patterns. A would leave the population and its age structure unchanged, apart from no movement or vital events occurring. C concerns land area, not the age composition of residents. D is an extreme statement and does not describe a process that changes the structure. Memory cue: equal numbers can still have unequal demographic effects when their ages differ.

The three age groups together account for the whole population: 28 percent are children, 62 percent are in the working-age group, and 10 percent are elderly. The working-age group is the largest, so the country has a substantial potential labour force and may gain economic support from this structure. However, children are dependants who generally require support for food, education, health, and care. The elderly group also creates some dependency needs.

Thus, option A is the best interpretation. A 28 percent child share means there is still noticeable youth dependency pressure, even though the working-age population is the majority. The elderly are only 10 percent, so they are not larger than the working-age group and the population is not mostly old. Dependants are present because both children and older people are included. The figures therefore describe a predominantly working-age population with meaningful youth dependency.

Age structure shows how a population is divided among children, working-age people, and older people. A high child share creates immediate needs for primary schools, teachers, vaccination, nutrition, child health, and later adolescent and skill services. In contrast, a high elderly share increases the need for pensions, accessible health care, long-term care, social support, and age-friendly infrastructure. Although both countries have the same working-age share, their dependent groups are different, so their public spending and planning priorities cannot be identical. Therefore, choice A is correct.

Choice B ignores the effect of age composition on policy. Choice C is incorrect because each country needs a range of services, not only one facility, and the stated needs are reversed. Choice D is also wrong: age structure directly affects dependency, labour supply, education demand, health expenditure, and social security. The comparison concerns the dominant dependent group. Country X must prepare children to become healthy and skilled adults, whereas country Y must support people who have already reached older ages.

In broad demographic analysis, children and older people are usually treated as dependent age groups because they are less likely to be in the main working ages. The remaining group, lying between childhood and old age, is generally viewed as the working-age population. If children and elderly people together make up 42 percent, the remaining share is found by subtracting from the whole population: 100 minus 42 equals 58 percent. Thus, the 58 percent is mainly the working-age population, so choice A is correct.

The word “mainly” is important because age categories can differ slightly between countries and statistical systems, and not every person in working age is employed. Even so, the question asks for a broad demographic classification, not actual employment. The remaining share cannot be identified as only migrants, only women, or only rural residents, because those are different population characteristics and do not follow from age percentages. Therefore, option A is the only supported answer.

A demographic dividend is the possible economic benefit created when the working-age population forms a large share of the total population. This opportunity is not automatic. People of working age must be healthy, educated, trained, and able to find productive employment. Businesses, infrastructure, good institutions, and suitable policies also help convert a large labour force into higher production, income, and savings. Without these conditions, a large working-age group may instead face unemployment and social pressure.

Option A includes the essential conditions: a large working-age population together with education, skills, and employment. High birth rates increase the dependent child population and do not by themselves create a dividend. Rapid growth of elderly people without jobs increases dependency, and equal numbers in all age groups do not guarantee productive work. Hence A is correct.

A long-term decline in fertility produces smaller new birth cohorts. As fewer children are born, the proportion of children in the total population gradually falls. For several decades, earlier large cohorts may still be moving through working ages, so the relative share of the working-age population can rise. This change can create a temporary opportunity for a demographic dividend if employment, health, and education are adequate. The effect is gradual, not an instant transformation of every age group.

Option A gives this likely early effect: the child share declines and the relative working-age share may increase. Option B is the opposite of the usual result. Older people do not immediately disappear; in fact, sustained low fertility can contribute to population ageing later. Age groups also do not become equal automatically. Therefore A is correct.

The shape of an age pyramid reflects recent births, the size of adult cohorts, and survival into old age. A narrow base means that fewer children have been born recently, so the birth rate is relatively low. A broad middle means that many people are in adult or working ages. A top that is gradually widening suggests that more people are surviving to older ages and that the population is ageing. Taken together, these features indicate low fertility and an ageing population. Therefore, choice A is correct.

Choice B would normally produce a broad or very wide base because many children would be entering the population. Choice C cannot be concluded from the shape alone; migration may influence age structure, but the pyramid does not prove that migration is the only cause. Choice D is impossible as a literal description because every real population has some mortality. The pyramid therefore gives a combined signal: fewer recent births, a large mature population, and improving survival at older ages.

A rising elderly percentage in a stable total population means that the age composition is changing. If the share of people above 65 increases, the relative proportion of children, working-age people, or both must decline. This is a clear sign of population ageing. Option B is incorrect because a larger elderly share does not imply that births are increasing; in many ageing societies, birth rates are actually low. Age structure must therefore be analysed through the relative proportions of different age groups rather than through total population size alone.

People aged 20 to 35 are normally an important part of the working-age population. When many of them leave a region for employment, the origin region loses a substantial number of adults from its population count. As a result, the proportion of working-age people may fall, even if the numbers of children and elderly people do not immediately change. The region may also experience a relatively higher dependency burden and lose part of its active labour force. Therefore, choice A is the direct effect.

Choice B is incorrect because children do not suddenly double merely because adults migrate out; births and child numbers change over time. Choice C is impossible because elderly residents do not become zero when young adults leave. Choice D ignores the fact that migration changes the age composition of the origin population. The exact size of the effect depends on the number and sex of migrants, return migration, and births and deaths, but the immediate demographic direction is a reduced working-age share. This is why option A is the best answer.

Declining child dependency is usually linked to lower fertility, while rising old-age dependency is associated with lower mortality, longer life expectancy and the ageing of large cohorts. Together, these trends are characteristic of an advanced stage of demographic transition and population ageing. Option B is incorrect because immigration may alter age composition, but it does not by itself explain a long-term combination of falling child dependency and rising elderly dependency. In examinations, both indicators should be connected with changes in fertility, mortality and survival.

A rising working-age share expands the potential labour force. If employment increases at a similar pace, more people can participate in productive activities, which can raise national output and per capita income. This is a basic condition for a demographic dividend, although productivity, skills and institutional quality also matter. Option B is incorrect because a larger working-age share generally reduces the relative proportion of dependents rather than necessarily increasing dependency. Age structure creates an opportunity, but productive employment and human-capital development determine whether that opportunity is realised.

Dependent population is calculated by adding the young and elderly groups, because they are generally outside the main working-age group used in this question. Children number 3 million and people aged above 60 number 2 million, so the dependent population is \(3+2=5\) million. The total population is \(3+5+2=10\) million.

The dependent percentage is therefore \(\frac{5}{10}\times100=50\%\). Hence, option A is correct. The 15–59 age group is treated as the working-age population and is not included in the dependent total. Options B, C, and D result from using an incorrect numerator or denominator, rather than adding the two specified dependent groups.

The age-dependency ratio is the number of people aged 0–14 and 65 or older divided by the number aged 15–64, multiplied by 100. Here, dependents total 24 + 10 = 34 million. So the ratio is (34 ÷ 66) × 100 ≈ 51.5 dependents per 100 people aged 15–64.

In an age pyramid, the width of a band represents the relative number of people in that age group. If the 25-39 band is the widest, the cohort born during the relevant years is larger than many other age groups in the population. This is the safest conclusion because it uses only the information directly shown by the pyramid.

The shape alone cannot prove that the current birth rate is the highest. People aged 25-39 may have different employment situations, and the presence of a large adult cohort does not mean that elderly people are absent. Migration, past birth patterns, and mortality may also have shaped the band. Therefore option A is the most cautious and defensible interpretation.

The governing concept is the difference between an absolute number and a percentage share. The elderly percentage is calculated as elderly people divided by the total population, multiplied by 100. If the number of elderly people remains constant but the number of children falls, the total population may become smaller. For example, 20 elderly people in a population of 100 represent 20 percent, but the same 20 in a population of 80 represent 25 percent. Therefore, option A is correct. Option B is wrong because the elderly number need not double; options C and D ignore the importance of the denominator. This reasoning is central to interpreting ageing and age structure.

The governing concept is the old-age dependency ratio: the number of older dependents relative to the working-age population. When this ratio rises, a comparatively smaller working-age group must support more people who may require pensions, medical treatment, assistance with daily activities and long-term care. Option A is therefore the most relevant and comprehensive response because it addresses income security, health needs and continuing care. Option B and option C are valuable policies in their own contexts, but they mainly serve children rather than older dependents. Option D does not directly solve the fiscal, medical or care pressures created by population ageing.

The governing concept is age composition and its effect on social-service demand. If 40 percent of the population is aged 0–14, children form a very large part of the population and the youth dependency burden is high. The government is therefore likely to need more classrooms, teachers, vaccination, child-health facilities, nutrition programmes, safe recreation and eventually skill-development opportunities. Option A correctly combines the major needs associated with a large child population. Options B, C and D focus on older people and would be more relevant where the elderly share is unusually high. The age distribution helps planners allocate resources according to the population groups requiring support.

The governing concept is population ageing caused by changes in fertility and survival. A falling birth rate produces smaller younger cohorts, so children gradually make up a smaller share of the total population. At the same time, rising life expectancy allows more people to survive into older ages and remain there for longer. Together, these processes tend to increase the proportion of elderly people, narrow the base of the age pyramid and widen its upper portion. Option A is correct. Option B is opposite to the effect of lower fertility, option C ignores demographic change, and option D is an extreme claim because the working-age group does not disappear completely merely because ageing occurs.

The governing concept is the demographic dividend, which is a potential economic benefit arising when the working-age population forms a relatively large share of the total population. A low dependency ratio creates an opportunity, but it does not itself create jobs, productivity or income. If unemployment is very high, many working-age people cannot participate in productive employment, pay taxes or support economic output. Consequently, the potential dividend remains limited. Option A is correct. Option B is too absolute, option C does not follow from low dependency, and option D wrongly denies the economic importance of age structure. Education, skills, health, investment and suitable employment policies determine whether the opportunity is realised.

The governing concept is the composition of dependency, not merely its total level. The total dependency ratio may be equal in countries P and Q, but the age groups forming that ratio are different. Country P, with more child dependents, is likely to require greater spending on schools, teachers, vaccination, nutrition and child care. Country Q, with more elderly dependents, is likely to require more pensions, geriatric health services, accessible housing and long-term care. Thus option A is most accurate. Option B is false because the age structures differ; option C reverses the likely pension pattern, and option D reverses the likely school-demand pattern. Good planning must examine both the amount and type of dependency.

The governing concept is the cohort effect within demographic transition. When fertility declines in earlier years, fewer children are born and the child share later becomes smaller. At the same time, the relatively larger cohorts born before the decline gradually move into the 15–59 working-age range. If the elderly share remains nearly stable, this movement can raise the working-age share from 55 to 65 percent. Option A is therefore the most plausible explanation. Option D would increase the child share, not reduce it. Option B is unrealistic and does not explain the smaller child proportion, while option C alone would require unusually large elderly immigration and would raise the elderly share rather than leave it stable.

The governing concept is the interpretation of age-pyramid shape. A nearly rectangular pyramid has broadly similar widths through many age groups rather than an extremely wide base or a sharply narrowing profile. This usually indicates relatively moderate fertility, comparatively low mortality and a population distributed fairly evenly across age groups. Such a population tends to grow slowly or approach a stable structure. Option A is correct. Option B describes a rapidly growing, expansive population, which normally has a broad triangular base. Options C and D are impossible overstatements: a rectangular pyramid includes children and older people, even though their proportions may be relatively balanced. The shape shows demographic balance, not the complete absence of any age group.

The governing concept is that age structure creates an opportunity, not an automatic economic outcome. A large working-age share may reduce the relative dependency burden and provide a potential demographic dividend, but people must have education, skills, good health, productive employment, capital and supportive institutions. If many working-age people are unemployed, underemployed or engaged in low-productivity work, the country can still have low per capita income. Option A is therefore correct. Option B is too absolute because numbers alone do not generate prosperity. Option C ignores the possible influence of age structure, while option D falsely attributes all low income to an elderly population. Economic conditions determine whether demographic potential becomes actual income.

The governing concept is that the major age groups together account for 100 percent of the population. The child group contributes 25 percent and the elderly group contributes 15 percent, so their combined share is 25 + 15 = 40 percent. The remaining share belongs to the 15–59 age group: 100 − 40 = 60 percent. Therefore, option A is correct. Option B would leave 10 percent unaccounted for, while option C incorrectly treats the combined child and elderly share as the working-age share. Option D is impossible because it would make the total exceed 100 percent when added to the given groups. The calculation assumes the three stated age intervals cover the population without overlap or omission.

The governing concept is that a favourable working-age share creates an opportunity, not an automatic dividend. Although 64 percent of the population is aged 15–59, low female labour-force participation means that a substantial part of the available human resource may not be engaged in paid work or measured economic production. This can reduce household income, output, tax revenue and the economy’s capacity to support dependents. Option A is correct because the potential benefit may remain partly unrealised. Option B is wrong: age structure alone cannot maximise a dividend. Option C is impossible because children and older people still exist, and option D confuses labour participation with the disappearance of elderly residents.