Age Structure

An age-based dependency ratio uses an administrative age boundary. It commonly counts people above a selected age as elderly dependants and assumes that working-age people support them. This is useful for comparing populations, but it is not a perfect measure of actual economic dependence. Some people above that boundary continue working, earn income, pay taxes, or support themselves.

Therefore, if many elderly people remain employed, the age-based figure may count more dependants than the economy really has. Actual dependence also depends on health, employment, pensions, savings, family support, and the retirement age. Choice A gives the appropriate caution: the age measure can overstate economic dependency. It does not follow that every older person is dependent or that a 25 percent elderly share makes dependency zero.

The total dependent share is found by adding the child share and the elderly share. At first, children make up 30 percent and older people make up 10 percent, so the dependent share is \(30+10=40\) percent. Later, the child share falls to 25 percent, but the elderly share rises to 15 percent. The new total is \(25+15=40\) percent. Therefore option B is correct: it remains at 40 percent.

The composition of dependants changes even though their combined share does not. Child dependency decreases by 5 percentage points, while elderly dependency increases by exactly 5 percentage points. These changes cancel in the total. This does not mean that the society has no demographic change; it means only that the two specified dependent groups together occupy the same percentage of the population. Options A and D overlook the offsetting rise, while C adds the changes incorrectly.

A demographic dividend is an opportunity for faster economic development that can arise when the working-age population forms a large share of the total population and relatively few people depend on it. Fewer dependents can allow households and governments to devote more resources to education, health, savings, and investment.

The opportunity is not automatic. It is most likely to produce higher output, incomes, and savings when workers have suitable jobs, skills, good health, and supportive economic policies. The question states that the working-age group is rising and total dependency is falling, which is the favourable demographic condition for this opportunity. It does not imply doubled child dependency, certain pension pressure, or disappearance of the labour force. Thus A is correct.

Elderly dependency is commonly expressed as the number of older people compared with the working-age population. In ratio form, it can be written as elderly population divided by working-age population, often multiplied by 100. If both the numerator and denominator increase by the same proportion, their relative relationship does not change, so the dependency ratio can remain stable.

For example, suppose there are 20 elderly people and 100 working-age people; the ratio is 20 per 100. If both rise by 10 percent, they become 22 and 110, and the ratio remains \(22/110=0.20\), or 20 per 100. Thus, option A is correct. This does not mean the elderly are excluded or workers are irrelevant; both are essential to the ratio.

A population pyramid shows the relative size of age groups. Its base represents children, its middle represents the working-age population, and its upper part represents older people. A narrow base means that the child share is relatively small, while a narrow top means that the elderly share is relatively small. If the middle is very broad, the largest share is concentrated in working ages.

Therefore, the most likely situation is a very large working-age group, making option A correct. Such a structure may produce a relatively low immediate dependency burden because both major dependent groups are smaller, although actual effects also depend on employment and social conditions. The narrow base rules out children being the largest group, and the narrow top rules out the elderly being the largest group. The pyramid therefore has clear demographic meaning.

A large working-age population can support economic growth in the present, especially when people are employed productively. But a rapidly rising average age shows that the population is moving toward older ages. The current working-age group will gradually enter older age groups, and many may eventually require pensions, health care, or other support. This creates a long-term possibility of greater elderly dependency.

Option A expresses this demographic signal without claiming that the outcome is immediate or certain in every detail. A rising average age does not mean that children must increase or that fertility is definitely high. It also does not guarantee that elderly dependency will always decline. The key reasoning is that today’s large adult cohort becomes tomorrow’s older cohort as time passes. Therefore, A is the most appropriate answer.

Children and elderly people are the two dependent groups in this classification. The working-age share is the portion remaining after both dependent shares are removed from the full population. Since the full population equals 100 percent, adding the two given dependent percentages and subtracting from 100 gives the answer.

Children aged 0 to 14 form 26 percent, and people aged 60 and above form 9 percent. Their combined dependent share is \(26+9=35\) percent. Thus, the working-age share is \(100-35=65\) percent. Option C is therefore correct. The calculation assumes the age groups are mutually exclusive and together cover the whole population.

In the usual simplified age-structure calculation, dependents include children and older people because these groups are generally less likely to be in the working-age population. The question gives their shares directly, so add the child share to the elderly share: \\(23\\% + 12\\% = 35\\%\\). Therefore, 35% of the total population belongs to these two dependent groups.

Option C is correct. This is a dependent share, not the full dependency ratio expressed as dependents divided by the working-age population. If a formal dependency ratio were requested, the working-age percentage would also be needed as the denominator. Here, however, the question asks for the total dependent share and supplies both component percentages, so simple addition is appropriate. The other options either omit a group or use an incorrect total.

The child share falls from 35% to 25%, a decline of 10 percentage points. At the same time, the working-age share rises from 55% to 65%, an increase of 10 points. The elderly share stays at 10%, so there is no evidence that elderly dependency doubled or that the population aged because the elderly share increased. Choice A correctly identifies lower child dependency and a larger working-age share.

The total dependent share is the child share plus the elderly share. Initially it is 35%+10%=45%; later it is 25%+10%=35%. Thus total dependency also declines by 10 percentage points. The changing shares remain balanced at 100% in both cases, and the shift is toward a larger working-age proportion, not toward a larger elderly proportion.

The working-age share falls from 60 to 52 percent, while the elderly share rises from 15 to 23 percent. The child share remains unchanged. This means the proportion of elderly people compared with the working-age population becomes larger, even though the total population size is not provided.

The change in elderly share is an increase of 8 percentage points, while the working-age share decreases by 8 points. Therefore, elderly dependency may increase, making option A the appropriate conclusion. Child dependency cannot be said to decline because the child share stays unchanged and the working-age denominator changes. Total dependency is not necessarily lower, and the working-age share clearly does not rise.

A university-age population consists mainly of young people who may seek college, university, vocational, or other advanced education. When this age group becomes unusually large, existing educational facilities may become overcrowded. Planning must therefore consider both learning spaces and the daily needs of students who may live away from home.

The most direct infrastructure response is to expand higher-education institutions and student housing. Libraries, laboratories, transport, internet facilities, and vocational centres may also be needed, but option A captures the central requirement. Primary schools mainly serve younger children, while elderly homes and pension offices serve older populations. A large university-age group does not by itself create demand for only those facilities. Therefore A is correct.

Age-based dependency statistics classify people above a chosen age as dependants, often because they are assumed less likely to work. This is a convenient statistical rule, but it does not describe every person's actual economic activity. Some older adults remain healthy, employed, self-employed, or otherwise earn income and contribute taxes or household support.

Therefore option A is correct: measured elderly dependency may be higher than actual economic dependency. A growing older population still changes the age structure, even when many older people work. Their employment does not make the dependency concept meaningless; it shows why the age-based measure should be interpreted carefully rather than treated as a direct count of non-workers.

Total dependent population is made up of the child group and the elderly group. Therefore, if the total dependent percentage and the child percentage are known, the elderly percentage is found by subtracting the child share from the total dependent share. Both values must be percentages of the same total population.

The total dependent share is 42 percent, and children account for 26 percent. Hence the elderly share is \(42-26=16\) percent. The result can be checked by adding the two dependent groups: \(26+16=42\) percent. Therefore, option C is correct. The working-age share is not needed for this calculation, although it would be 58 percent as the remainder.

The dependent population consists mainly of children and elderly people, because these groups are generally less likely to be in the working-age category. Therefore, if total dependents account for 37 percent and elderly people account for 11 percent, the child share is the remaining part of the dependent population.

The calculation is \\(37\\%-11\\%=26\\%\\). Thus children form 26 percent of the total population, assuming the categories are defined consistently and do not overlap. Option B is correct. The value 24 percent would result from an incorrect subtraction, while 48 percent is impossible here because it exceeds the total dependent share of 37 percent.

A population pyramid with a narrow base has relatively few children, while a narrow upper section has relatively few elderly people. A very broad middle means that working-age adults form a large share of the population. Since total dependency mainly comes from children and older adults in relation to working-age people, both dependent groups are relatively small compared with the large middle group. Total dependency may therefore be relatively low, making option A correct.

This is an inference, not a precise calculation, because the exact age limits and percentages are not provided. The pyramid cannot prove that dependency is extremely high, and it will not consist only of elderly dependency because the base, although narrow, still represents children. Age structure is exactly the information used to make this estimate. Migration, fertility, and future ageing may later change the ratio, but the current shape suggests a comparatively low total dependency.

The base of a population pyramid represents children, while the top represents older people. A broad base therefore indicates high child dependency, and a broad top indicates high elderly dependency. If the middle, which mainly represents the working-age population, is relatively narrow, fewer workers may be available to support both dependent groups. The country may consequently face pressure on schools and child services as well as pensions, health care, and elderly support.

Option A is correct because it identifies the combined burden created by large numbers at both ends and a smaller working-age centre. Option B is the opposite pattern, since a narrow middle does not show a large workforce advantage. Options C and D incorrectly assume that dependency disappears or that only employment matters. The exact effect also depends on employment and productivity, but the demographic challenge is clear.

A rapidly growing youth population creates a large demand for education after school, vocational training, digital skills, and other forms of preparation for work. If universities and training centres do not expand, many young people may face limited seats, difficult admission competition, overcrowded classes, or insufficient opportunities to gain employable skills. This can also delay entry into suitable work.

Option A is therefore correct. Pension pressure is more closely associated with a growing elderly population, not with the immediate problem described here. A growing youth population does not mean that children will instantly decline, and it cannot make the working-age population zero. The scale of the problem depends on policy and investment, but unchanged capacity clearly creates pressure on higher education and skill training.

Long-term care includes continuing assistance for older people who need help with daily activities, chronic illness, rehabilitation, nursing, or supervision. When the elderly population grows quickly, demand for these services rises. If the number of care workers, facilities, home-care programmes, and beds remains unchanged, supply will not keep pace with need.

The likely results include waiting lists, unmet care needs, overburdened hospitals, and greater pressure on family members. The problem is not solved merely because other age groups exist. Primary-school seats, youth employment, and child nutrition may also require planning, but they are not the direct consequence identified here. Therefore, option A is correct: a rapid increase in elderly people with unchanged capacity can produce a shortage of elderly care services.

Age structure affects the kinds of education services a country needs. When the child population is falling, the pressure to build many new primary-school places may become weaker, especially if existing schools can accommodate smaller entering classes. At the same time, a large youth or working-age population may increase demand for secondary education, vocational training, digital abilities, professional skills, and higher education.

This does not mean primary education stops being important or that spending must fall everywhere. Governments may redirect part of their education investment toward improving quality, skills, colleges, and job-related training while maintaining basic schooling. Therefore option A is the best answer. Options B and C are too absolute, and D is incorrect because age composition clearly influences educational demand and planning.

The three stated age categories together make up the whole population. Children account for 19 percent and elderly people account for 21 percent. These are the two groups outside the specified working-age category, so their combined share is \(19+21=40\) percent. The working-age share is the part left after removing these groups from 100 percent.

The calculation is \(100-40=60\) percent. Therefore, 60 percent of the population belongs to the working-age group, making option C correct. The 79 percent choice would result from subtracting only the elderly share from 100 and ignoring children; it therefore cannot represent the working-age share when children are also included. The result also checks because \(19+60+21=100\) percent.

The three stated age groups together make up the whole population: children, working-age people, and elderly people. Therefore, the child share is the percentage left after subtracting the other two groups from 100%. The working-age share is 63% and the elderly share is 14%, so their combined share is \\(63 + 14 = 77\\%\\).

The remaining percentage is \\(100 - 77 = 23\\%\\). Thus, the child population forms 23 percent of the total population, and option C is correct. The calculation uses shares of the same total population, so they can be added directly. A result of 19% would incorrectly subtract 81%, while 21% and 37% do not equal the remaining share after the two given groups are removed.

Total dependency includes both child dependency and elderly dependency. Child dependency can fall when the number or share of children decreases, often because fertility is declining. However, total dependency may still rise if the elderly share increases by an even larger amount. In that situation, the fall in child dependency is more than offset by growth in elderly dependency.

Therefore, option A is the most likely explanation. A rapidly growing working-age population would usually tend to reduce the dependency ratio, not raise it, if other factors stayed similar. A declining elderly population would work against the stated result, while doubling child population would generally increase child dependency. The key is that total dependency is the combined effect of its child and elderly components.

Total dependency combines child dependency and elderly dependency in relation to the working-age population. Therefore, a fall in elderly dependency does not necessarily make total dependency fall. If the number or share of children rises sufficiently, the increase in child dependency can be larger than the decline in elderly dependency.

In that situation, the combined total can increase even while the elderly component decreases. Option A describes exactly this possibility. A declining child population would generally push total dependency downward, and very rapid growth of the working-age population would usually reduce it. Rising elderly dependency would contradict the condition given. Hence option A is the only consistent explanation.

A large youth population can become an important future labour force, but its eventual contribution depends on education, health, skills, and access to suitable work. High-quality training helps young people develop abilities that employers and the economy need. This can raise productivity when they enter working ages.

The word “may” is important because a youth population does not automatically create economic success. Training must be supported by jobs, good health, and opportunities to use the acquired skills. The other choices do not follow: elderly dependency would not immediately rise merely because the population is young, children would not instantly disappear, and fertility would not automatically become zero. Therefore, option A is the most reasonable outcome.

A large elderly population normally increases demand for medical treatment, medicines, pensions, assisted living, long-term care, and social support. Strong health and long-term-care systems do not remove the fact of ageing, but they can make its effects easier to manage. They may provide preventive care, treatment, home support, trained caregivers, and organized social protection, reducing the burden on families and improving the quality of life of older people.

Option A is correct because ageing-related social and service pressures can be handled more effectively when institutions are prepared. Option B is wrong: good care does not immediately reduce the number of elderly people. Option C is mathematically impossible; elderly dependency is not automatically zero when services are strong. Option D does not follow from the information because care systems do not double the child population. The likely effect is better management, not disappearance, of ageing-related pressures.