Age Structure

Age structure helps governments estimate which public services will be needed. When the number of children falls, some places may need fewer school seats, classrooms or teachers, although local differences can remain. When the elderly population rises, demand generally increases for hospitals, geriatric care, medicines, social support and long-term care. Planning should respond to these changing proportions.

Option B is correct because it links a shrinking child cohort with rising elderly-care needs without claiming that every locality changes identically. Option A reverses the likely trend, C ignores demographic change, and D wrongly denies the connection between age structure and public spending. The result concerns probable allocation, not an exact reduction in every school budget.

Population ageing can reduce the relative share of working-age people and increase the need for pensions, healthcare, and care services. If more women participate in the labour force, however, more adults can contribute to production, earnings, taxes, and the available workforce. This increased participation may partly compensate for the labour-supply pressure associated with ageing, although it may not remove every economic challenge.

Option A is correct because it states a possible partial offset. Ageing does not immediately end, and rising female participation does not necessarily increase youth dependency. Pensions do not become unnecessary; an older population may require greater pension support. The effect also depends on working conditions, childcare, retirement rules, health, wages, and whether suitable jobs are available, so “some” is appropriately cautious.

An age-sex pyramid with a very broad base contains a large proportion of children and young people. This usually indicates that many babies have been born recently and that fertility has been high, either at present or in the recent past. A narrow top means that older people form a relatively small share, often because fewer people survive to advanced ages or because the population is generally young.

Therefore, option A is the most appropriate conclusion. The shape does not show elderly dominance, equal age proportions, or very low fertility. A broad base usually points toward continued population growth potential, because many young people may enter reproductive ages later. The exact causes should be interpreted with other demographic data, but the supplied inference is standard and well supported.

A population pyramid’s base represents younger ages, while its upper sections represent older ages. A narrow base usually means fewer births and smaller numbers entering childhood. If the upper groups become relatively wider, more people are surviving to older ages and older people form a larger share of the population. Together, these features indicate demographic ageing.

Option A is therefore correct. It does not mean that every working-age group has disappeared; working-age people may still be numerous for some time. Nor does it indicate rapidly rising fertility, which would normally widen the base. The exact pace of ageing depends on mortality, migration and fertility, but the described shape clearly signals a shift toward an older population.

A high share of children aged 0–14 means the country has a large young cohort. As these children grow older, many will gradually enter the working-age population, increasing the potential labour supply in the future. This effect is not automatic: education, health, skills, suitable jobs and participation opportunities determine how fully it becomes an economic advantage. In the meantime, children require support from working adults, so dependency may be high before the cohort reaches working age.

Option A is correct because it describes the most likely long-term demographic consequence under otherwise similar conditions. Option B says old-age dependency will immediately become the biggest problem, but children are not old people and the effect is not immediate. Option C contradicts the expected cohort progression, while D wrongly says growth potential disappears. The young structure can create a future demographic opportunity if adequate investment and employment are provided.

The youth dependency ratio compares the number of children with the working-age population. Using the percentages provided, the calculation is \(28 \div 62) \times 100\). This gives approximately \(45.16\), which rounds to about 45.2. It means that there are roughly 45 children for every 100 people in the stated working-age group.

The denominator must be the working-age percentage, 62, rather than the total population or the child percentage. Thus 62.0 is not the ratio, and 34.0 does not result from the required division. Option D is also too high. Therefore option A, 45.2, follows from the standard formula and the supplied age-group values.

The old-age dependency ratio compares the elderly population with the working-age population and is calculated as \(\frac{\text{elderly population}}{\text{working-age population}}\times100\). Here, the elderly share is 12 percent and the working-age share is 60 percent. Substitution gives \(\frac{12}{60}\times100=20\).

Thus option A is correct. The ratio is not obtained by adding the two percentages, which would give 72, nor by dividing by the total population because the denominator is specifically the working-age group. A value of 20 means there are 20 older persons for every 100 people in the stated working-age group, under this definition.

The dependency ratio compares people usually outside the working-age group with those in the working-age group. Here, children are 30 percent and older people are 10 percent, so total dependent population is \(30+10=40\) percent. The working-age group is 60 percent. Therefore, \((40/60)\times100=66.7\).

This means there are about 66.7 dependants for every 100 people in the stated working-age group. Option A is correct. The calculation must use the combined dependent share as the numerator and the working-age share as the denominator; using only children or dividing by the total population would give a different, inappropriate measure.

A demographic dividend becomes possible when the working-age population forms a larger share relative to children and older people. With fewer dependants per potential worker, families and governments may have more resources for education, health, saving, investment, and productive employment. This opportunity is not automatic; it becomes a benefit only when jobs, skills, health, and suitable policies allow the working-age group to be productive. Therefore, option A is correct.

A rapidly rising elderly share or child dependency increases the number of dependants and can raise the support burden. A falling working-age share does the opposite of creating a dividend. The key idea is the dependency ratio and its relationship with age structure. The dividend is a period of opportunity, not a guaranteed result of population change alone; effective planning and inclusive employment are needed to convert it into economic growth.

A large working-age population creates a possibility for economic growth, but it is not an automatic result. People need relevant education, practical skills, good health, transport, and suitable jobs before they can contribute fully to production. If the economy cannot provide employment, many may remain unemployed, underemployed, or dependent. A large working-age group can then create pressure on households and public services instead of a demographic dividend.

Option A is correct because it identifies the main conditions that can limit the benefit. Option B is false because working-age people can produce when opportunities and capabilities exist. C wrongly describes them all as elderly dependents, and D makes an unsupported claim about birth rates. Age structure indicates potential labour supply; policies and economic conditions determine how much of that potential becomes a benefit.

An age pyramid shows the number or proportion of people in different age groups. A cohort is a group born during the same period. As that group grows older, it moves upward through the age structure rather than remaining at the base. Its unusually large size therefore appears as a wider section at the age the members have reached.

A large birth cohort from about twenty years ago is now concentrated near age 20, allowing for deaths and migration. It will appear as a bulge around that age, so option A is correct. It will not remain only at the base, because the base represents the youngest children. Nor will it create an equal increase in every age group; the concentration follows that cohort’s movement through time.

Migration is often selective by age rather than evenly distributed across all age groups. People aged 20–34 are commonly in the young working-age category and are likely to move for employment, especially toward a metropolitan city. If the incoming group is mainly this age range, the city gains both more young workers and a larger share of them in its local population. Therefore option A is the direct effect.

The elderly group does not immediately become dominant, and the child share cannot automatically double because children are not the main incoming group. Nor do all age groups rise in equal proportion. The exact percentage change would depend on the city’s original population and the number of migrants, but the direction of the age-structure change is clear: age-selective migration raises the young working-age share.

A baby boom is a period when the number of births is unusually high. The babies born during that period form a larger-than-usual birth cohort. As this cohort grows older, the large group moves through the age structure together. Twenty-five years later, most surviving members of that cohort will be approximately 25 years old, allowing for differences in birthdays, mortality, and migration.

Therefore, option A is correct: the population pyramid is likely to show an unusually large cohort in the mid-twenties. It will not remain only among newborns, because the cohort ages over time. It is not yet an elderly bulge, since the group is around young-adult age. Option D is also wrong because a large birth cohort can continue to influence several age groups as it advances through the population structure.

The base of an age pyramid represents the youngest age groups, especially children. Its width depends largely on the number of recent births. If fertility remains lower for several decades, each newer cohort contains fewer children than the previous one. After enough time, these smaller cohorts appear at the bottom of the age pyramid, making the base relatively narrow.

Option A is correct. The top may become relatively wider over time as people live longer and older cohorts form a larger share, but the question specifically asks about the base. Option B is the opposite of the expected effect. Option C is incorrect because age groups do not disappear equally, and D ignores the direct link between births and the youngest population. A narrower base usually indicates declining fertility and a slower future increase in the working-age population.

Employment-driven migration is usually selective by age. People who move to find work are often young adults because they are entering the labour market, changing jobs, or seeking better earnings and career opportunities. When many such migrants arrive in cities, the proportion of young adults in the urban population may rise. This can increase demand for jobs, rental housing, transport, training, and sometimes later family services if migrants settle permanently.

Option A is correct because it describes the most common age effect of employment migration. Option B is too narrow: migrants are not only children. Option C is unrelated to the normal pattern, and D ignores the age-selective nature of migration. The result is a general tendency, not an absolute rule; the exact change depends on the ages, sex composition, duration, and type of migration.

When migration is concentrated among people aged 18–35, it is age-selective rather than evenly distributed across the population. These migrants are mainly young adults who would otherwise belong to the rural working-age group. Their departure directly reduces that group’s number and usually its share of the rural population. The remaining population can therefore contain relatively more children, middle-aged people, and older people, even if their actual numbers have not increased.

Choice A is correct because it identifies the direct compositional effect of out-migration. Choice B reverses the effect. Choice C is impossible because migration does not change a person’s actual age. Choice D assumes that every age group leaves in equal proportions, which contradicts the stated movement of 18–35-year-olds. The question concerns age composition, so the important point is who leaves, not merely how many people leave.

Public pension systems are generally supported by contributions and taxes from the working-age population. If the share of older people rises while the working-age share falls relatively, fewer potential contributors may be supporting more beneficiaries. This raises the old-age dependency burden and can create pressure for higher contributions, reduced benefits, later retirement or greater government funding.

Option A is therefore the correct choice. A small decline in children may affect future population structure, but it does not immediately create the same pension burden. More young adults or rapid working-age growth can strengthen the contributor base, at least initially. The key issue is the balance between pension recipients and the population that finances the system, not simply the total population size.

Primary-school demand is most directly related to the number of children who are already near school age and those who will reach that age soon. The current number of young children gives an immediate indication of enrolment needs, while slightly younger cohorts help planners estimate future admissions. This information can guide decisions about classrooms, teachers, buildings, transport, and school locations. Total population alone is less precise because it includes adults and older people who do not directly create primary-school demand.

Option A is correct because young children and adjacent cohorts provide the relevant age-specific evidence. Option B concerns older people, and C is too broad to identify school-age demand. D may affect the ability to finance education but does not directly measure the number of pupils. The best estimate comes from following the size and movement of child cohorts through the school-age years.

Long-term care and elderly health services are linked to age-specific needs. As the share of people aged 65 and above increases, the number of people who may need treatment for chronic conditions, rehabilitation, help with daily activities or continuing care generally becomes larger. The exact demand also depends on health, income, family support and service systems, but the age structure gives the clearest demographic indication.

Therefore option A is correct. A rise in children would increase demand for childcare and paediatric services, while a rise in adolescents may increase other services. Working-age growth does not by itself create the same elderly-care demand. The question asks for the age condition most likely to raise long-term elderly care, so the rising 65-and-above share is the direct answer.

Age structure is useful for forecasting the future labour force because cohorts move through life stages. Adolescents and young people are the groups most likely to enter working ages during the next several years, provided survival, education, migration, and labour-force participation follow reasonably expected patterns. Their present size gives a starting estimate of the number of potential future workers. It does not guarantee employment, but it is more directly relevant than the current number of elderly people or population density.

Choice A is correct because current adolescent and young cohorts will largely form future working-age groups. Choice B concerns people mostly near or beyond working age. Choice C gives only a historical birth count and does not by itself show survival, migration, or present age composition. Choice D describes spatial concentration, not the age-based supply of future workers. A good forecast would also examine education, health, migration, and participation rates.

A nearly stationary population usually has a relatively balanced age distribution because births and deaths remain broadly stable over time. Its age pyramid is not strongly expansive: the base is not extremely wide, as it would be in a rapidly growing population with high fertility. At the same time, the pyramid does not have an almost absent base, which would indicate severe ageing and very low fertility. The middle may appear fairly even, though the exact shape depends on mortality, fertility, migration, and historical events.

Choice A is the best general description. Choice B represents an expanding population with many children. Choice C suggests an extremely aged or declining population, not a nearly stationary one. Choice D describes irregular disruptions rather than a normal stationary pattern. The word “generally” matters because no country has a perfectly identical number in every age group; the option gives the closest broad pattern.

An expanding age pyramid represents a population with many children and young people compared with older groups. A relatively high birth rate creates a broad youngest group. As age increases, groups usually become narrower because of deaths and, in some cases, migration. The pyramid therefore tapers upward toward the oldest ages.

Option A is correct because a broad base and rapidly narrowing upper part are the typical visual signs of an expanding population. A narrow base suggests low recent fertility and possible ageing, while an almost equal width represents a more stable structure. A population cannot normally consist only of middle-aged people, so option D is not an appropriate description.

A contracting population usually results from fertility remaining low for a long period. Each newer birth cohort is then smaller than earlier cohorts, so the bottom of the age pyramid becomes narrow. Many middle-age groups may be wider because they belong to larger generations born when fertility was higher. The pyramid therefore has a constrictive or urn-like shape rather than a broad triangular base.

Option A is correct: younger cohorts are smaller than many middle-age cohorts. A very wide base indicates an expanding population with high fertility, not a declining one. Older groups are not necessarily absent; improved survival may make them substantial. Nor must every age group be equal in size, because the shape reflects different birth cohorts, mortality and migration.

The working-age share helps indicate how many people may participate in production and support children and older adults. If country X has 68 percent in the working-age group, its combined child and elderly share is 32 percent, assuming the categories cover the whole population. In country Y, the corresponding non-working-age share is 48 percent. Other conditions being equal, X may therefore have fewer dependants relative to its working-age population and a lower age-based dependency burden.

Option A is correct, but the word “may” is important. A lower dependency burden does not automatically guarantee prosperity; employment, health, productivity, migration, and participation also matter. B is false because Y still has dependants, C is false because the age structures differ, and D wrongly treats total population as more important than composition. Equal population totals do not imply equal demographic pressures.

The dependency ratio compares dependent-age people with working-age people. Here, children aged 0–14 account for 30% and people above 60 account for 10%, so total dependents equal \(30 + 10 = 40\)% of the population. The working-age group is 60%. Therefore, dependents per 100 working-age persons are \(\frac{40}{60} \times 100 = 66.67\), or approximately 67.

Option A is correct because the ratio is not found by simply using the dependent percentage alone. The correct formula is \(Dependency\ ratio = \frac{Dependent\ population}{Working\text{-}age\ population} \times 100\). Thus 40 dependents for every 60 working-age persons correspond to about 67 dependents per 100 working-age persons. Options 40 and 50 ignore the required comparison, while 70 is only a less accurate approximation.