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Country vs country: Germany and Seychelles compared: People

Definitions

  • Birth rate: The average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
  • Death rate: The average annual number of deaths during a year per 1,000 population at midyear; also known as crude death rate. The death rate, while only a rough indicator of the mortality situation in a country, accurately indicates the current mortality impact on population growth. This indicator is significantly affected by age distribution, and most countries will eventually show a rise in the overall death rate, in spite of continued decline in mortality at all ages, as declining fertility results in an aging population.
  • Ethnic groups: This entry provides a rank ordering of ethnic groups starting with the largest and normally includes the percent of total population.
  • Hospital bed density: This entry provides the number of hospital beds per 1,000 people; it serves as a general measure of inpatient service availability. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases, beds for both acute and chronic care are included. Because the level of inpatient services required for individual countries depends on several factors - such as demographic issues and the burden of disease - there is no global target for the number of hospital beds per country. So, while 2 beds per 1,000 in one country may be sufficient, 2 beds per 1,000 in another may be woefully inadequate because of the number of people hospitalized by disease.
  • Infant mortality rate > Total: This entry is derived from People > Infant mortality rate, which gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
  • Nationality > Adjective: This entry is derived from People > Nationality, which provides the identifying terms for citizens - noun and adjective.
  • Nationality > Noun: The noun which identifies citizens of the nation
  • Physicians density: This entry gives the number of medical doctors (physicians), including generalist and specialist medical practitioners, per 1,000 of the population. Medical doctors are defined as doctors that study, diagnose, treat, and prevent illness, disease, injury, and other physical and mental impairments in humans through the application of modern medicine. They also plan, supervise, and evaluate care and treatment plans by other health care providers. The World Health Organization estimates that fewer than 2.3 health workers (physicians, nurses, and midwives only) per 1,000 would be insufficient to achieve coverage of primary healthcare needs.
  • Population: Population, total refers to the total population.
  • Population growth rate: The average annual percent change in the population, resulting from a surplus (or deficit) of births over deaths and the balance of migrants entering and leaving a country. The rate may be positive or negative. The growth rate is a factor in determining how great a burden would be imposed on a country by the changing needs of its people for infrastructure (e.g., schools, hospitals, housing, roads), resources (e.g., food, water, electricity), and jobs. Rapid population growth can be seen as threatening by neighboring countries.
  • Population in 2015: (Thousands) Medium-variant projections.
  • Sex ratio > 65 years and over: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.
  • Sex ratio > At birth: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.
  • Sex ratio > Total population: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.
  • Total fertility rate: The average number of children that would be born per woman if all women lived to the end of their child-bearing years and bore children according to a given fertility rate at each age. The total fertility rate is a more direct measure of the level of fertility than the crude birth rate, since it refers to births per woman. This indicator shows the potential for population growth in the country. High rates will also place some limits on the labor force participation rates for women. Large numbers of children born to women indicate large family sizes that might limit the ability of the families to feed and educate their children.
  • School life expectancy > Primary to tertiary > Male: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • School life expectancy > Primary to tertiary > Total: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Sex ratio > Under 15 years: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.
  • Sanitation facility access > Improved > Urban: This entry is derived from People > Sanitation facility access > Improved, which provides information about access to improved or unimproved sanitation facilities available to segments of the population of a country. improved sanitation - use of any of the following facilities: flush or pour-flush to a piped sewer system, septic tank or pit latrine; ventilated improved pit (VIP) latrine; pit latrine with slab; or a composting toilet. unimproved sanitation - use of any of the following facilities: flush or pour-flush not piped to a sewer system, septic tank or pit latrine; pit latrine without a slab or open pit; bucket; hanging toilet or hanging latrine; shared facilities of any type; no facilities; or bush or field.
  • School life expectancy > Primary to tertiary > Female: This entry is derived from People > School life expectancy > Primary to tertiary , which school life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Median age > Female: This entry is derived from People > Median age, which is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. Currently, the median age ranges from a low of about 15 in Uganda and Gaza Strip to 40 or more in several European countries and Japan. See the entry for "Age structure" for the importance of a young versus an older age structure and, by implication, a low versus a higher median age.
  • Median age > Total: This entry is derived from People > Median age, which is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. Currently, the median age ranges from a low of about 15 in Uganda and Gaza Strip to 40 or more in several European countries and Japan. See the entry for "Age structure" for the importance of a young versus an older age structure and, by implication, a low versus a higher median age.
  • Infant mortality rate > Female: This entry is derived from People > Infant mortality rate, which gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
  • Infant mortality rate > Male: This entry is derived from People > Infant mortality rate, which gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
  • Age structure > 0-14 years: The distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
  • Sex ratio > 15-64 years: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.
  • School life expectancy > Primary to tertiary education > Male: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • School life expectancy > Primary to tertiary education > Total: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Languages: This entry provides a rank ordering of languages starting with the largest and sometimes includes the percent of total population speaking that language.
  • Literacy > Definition: This entry is derived from People > Literacy, which includes a definition of literacy and Census Bureau percentages for the total population, males, and females. There are no universal definitions and standards of literacy. Unless otherwise specified, all rates are based on the most common definition - the ability to read and write at a specified age. Detailing the standards that individual countries use to assess the ability to read and write is beyond the scope of the Factbook. Information on literacy, while not a perfect measure of educational results, is probably the most easily available and valid for international comparisons. Low levels of literacy, and education in general, can impede the economic development of a country in the current rapidly changing, technology-driven world.
  • Age structure > 15-24 years: This entry is derived from People > Age structure, which provides the distribution of the population according to age. Information is included by sex and age group as follows: 0-14 years (children), 15-24 years (early working age), 25-54 years (prime working age), 55-64 years (mature working age), 65 years and over (elderly). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
  • Age structure > 25-54 years: This entry is derived from People > Age structure, which provides the distribution of the population according to age. Information is included by sex and age group as follows: 0-14 years (children), 15-24 years (early working age), 25-54 years (prime working age), 55-64 years (mature working age), 65 years and over (elderly). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
  • Age structure > 55-64 years: This entry is derived from People > Age structure, which provides the distribution of the population according to age. Information is included by sex and age group as follows: 0-14 years (children), 15-24 years (early working age), 25-54 years (prime working age), 55-64 years (mature working age), 65 years and over (elderly). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
  • Dependency ratios > Elderly dependency ratio: This entry is derived from People > Dependency ratios, which dependency ratios are a measure of the age structure of a population. They relate the number of individuals that are likely to be economically "dependent" on the support of others. Dependency ratios contrast the ratio of youths (ages 0-14) and the elderly (ages 65+) to the number of those in the working-age group (ages 15-64). Changes in the dependency ratio provide an indication of potential social support requirements resulting from changes in population age structures. As fertility levels decline, the dependency ratio initially falls because the proportion of youths decreases while the proportion of the population of working age increases. As fertility levels continue to decline, dependency ratios eventually increase because the proportion of the population of working age starts to decline and the proportion of elderly persons continues to increase.
    total dependency ratio - The total dependency ratio is the ratio of combined youth population (ages 0-14) and elderly population (ages 65+) per 100 people of working age (ages 15-64). A high total dependency ratio indicates that the working-age population and the overall economy face a greater burden to support and provide social services for youth and elderly persons, who are often economically dependent.
    youth dependency ratio - The youth dependency ratio is the ratio of the youth population (ages 0-14) per 100 people of working age (ages 15-64). A high youth dependency ratio indicates that a greater investment needs to be made in schooling and other services for children.
    elderly dependency ratio - The elderly dependency ratio is the ratio of the elderly population (ages 65+) per 100 people of working age (ages 15-64). Increases in the elderly dependency ratio put added pressure on governments to fund pensions and healthcare.
    potential support ratio - The potential support ratio is the number of working-age people (ages 15-64) per one elderly person (ages 65+). As a population ages, the potential support ratio tends to fall, meaning there are fewer potential workers to support the elderly.
  • Dependency ratios > Potential support ratio: This entry is derived from People > Dependency ratios, which dependency ratios are a measure of the age structure of a population. They relate the number of individuals that are likely to be economically "dependent" on the support of others. Dependency ratios contrast the ratio of youths (ages 0-14) and the elderly (ages 65+) to the number of those in the working-age group (ages 15-64). Changes in the dependency ratio provide an indication of potential social support requirements resulting from changes in population age structures. As fertility levels decline, the dependency ratio initially falls because the proportion of youths decreases while the proportion of the population of working age increases. As fertility levels continue to decline, dependency ratios eventually increase because the proportion of the population of working age starts to decline and the proportion of elderly persons continues to increase.
    total dependency ratio - The total dependency ratio is the ratio of combined youth population (ages 0-14) and elderly population (ages 65+) per 100 people of working age (ages 15-64). A high total dependency ratio indicates that the working-age population and the overall economy face a greater burden to support and provide social services for youth and elderly persons, who are often economically dependent.
    youth dependency ratio - The youth dependency ratio is the ratio of the youth population (ages 0-14) per 100 people of working age (ages 15-64). A high youth dependency ratio indicates that a greater investment needs to be made in schooling and other services for children.
    elderly dependency ratio - The elderly dependency ratio is the ratio of the elderly population (ages 65+) per 100 people of working age (ages 15-64). Increases in the elderly dependency ratio put added pressure on governments to fund pensions and healthcare.
    potential support ratio - The potential support ratio is the number of working-age people (ages 15-64) per one elderly person (ages 65+). As a population ages, the potential support ratio tends to fall, meaning there are fewer potential workers to support the elderly.
  • Dependency ratios > Youth dependency ratio: This entry is derived from People > Dependency ratios, which dependency ratios are a measure of the age structure of a population. They relate the number of individuals that are likely to be economically "dependent" on the support of others. Dependency ratios contrast the ratio of youths (ages 0-14) and the elderly (ages 65+) to the number of those in the working-age group (ages 15-64). Changes in the dependency ratio provide an indication of potential social support requirements resulting from changes in population age structures. As fertility levels decline, the dependency ratio initially falls because the proportion of youths decreases while the proportion of the population of working age increases. As fertility levels continue to decline, dependency ratios eventually increase because the proportion of the population of working age starts to decline and the proportion of elderly persons continues to increase.
    total dependency ratio - The total dependency ratio is the ratio of combined youth population (ages 0-14) and elderly population (ages 65+) per 100 people of working age (ages 15-64). A high total dependency ratio indicates that the working-age population and the overall economy face a greater burden to support and provide social services for youth and elderly persons, who are often economically dependent.
    youth dependency ratio - The youth dependency ratio is the ratio of the youth population (ages 0-14) per 100 people of working age (ages 15-64). A high youth dependency ratio indicates that a greater investment needs to be made in schooling and other services for children.
    elderly dependency ratio - The elderly dependency ratio is the ratio of the elderly population (ages 65+) per 100 people of working age (ages 15-64). Increases in the elderly dependency ratio put added pressure on governments to fund pensions and healthcare.
    potential support ratio - The potential support ratio is the number of working-age people (ages 15-64) per one elderly person (ages 65+). As a population ages, the potential support ratio tends to fall, meaning there are fewer potential workers to support the elderly.
  • Dependency ratios > Total dependency ratio: This entry is derived from People > Dependency ratios, which dependency ratios are a measure of the age structure of a population. They relate the number of individuals that are likely to be economically "dependent" on the support of others. Dependency ratios contrast the ratio of youths (ages 0-14) and the elderly (ages 65+) to the number of those in the working-age group (ages 15-64). Changes in the dependency ratio provide an indication of potential social support requirements resulting from changes in population age structures. As fertility levels decline, the dependency ratio initially falls because the proportion of youths decreases while the proportion of the population of working age increases. As fertility levels continue to decline, dependency ratios eventually increase because the proportion of the population of working age starts to decline and the proportion of elderly persons continues to increase.
    total dependency ratio - The total dependency ratio is the ratio of combined youth population (ages 0-14) and elderly population (ages 65+) per 100 people of working age (ages 15-64). A high total dependency ratio indicates that the working-age population and the overall economy face a greater burden to support and provide social services for youth and elderly persons, who are often economically dependent.
    youth dependency ratio - The youth dependency ratio is the ratio of the youth population (ages 0-14) per 100 people of working age (ages 15-64). A high youth dependency ratio indicates that a greater investment needs to be made in schooling and other services for children.
    elderly dependency ratio - The elderly dependency ratio is the ratio of the elderly population (ages 65+) per 100 people of working age (ages 15-64). Increases in the elderly dependency ratio put added pressure on governments to fund pensions and healthcare.
    potential support ratio - The potential support ratio is the number of working-age people (ages 15-64) per one elderly person (ages 65+). As a population ages, the potential support ratio tends to fall, meaning there are fewer potential workers to support the elderly.
  • Religions: This entry is an ordered listing of religions by adherents starting with the largest group and sometimes includes the percent of total population. The core characteristics and beliefs of the world's major religions are described below.
    Baha'i - Founded by Mirza Husayn-Ali (known as Baha'u'llah) in Iran in 1852, Baha'i faith emphasizes monotheism and believes in one eternal transcendent God. Its guiding focus is to encourage the unity of all peoples on the earth so that justice and peace may be achieved on earth. Baha'i revelation contends the prophets of major world religions reflect some truth or element of the divine, believes all were manifestations of God given to specific communities in specific times, and that Baha'u'llah is an additional prophet meant to call all humankind. Bahais are an open community, located worldwide, with the greatest concentration of believers in South Asia.
    Buddhism - Religion or philosophy inspired by the 5th century B.C. teachings of Siddhartha Gautama (also known as Gautama Buddha "the enlightened one"). Buddhism focuses on the goal of spiritual enlightenment centered on an understanding of Gautama Buddha's Four Noble Truths on the nature of suffering, and on the Eightfold Path of spiritual and moral practice, to break the cycle of suffering of which we are a part. Buddhism ascribes to a karmic system of rebirth. Several schools and sects of Buddhism exist, differing often on the nature of the Buddha, the extent to which enlightenment can be achieved - for one or for all, and by whom - religious orders or laity.
    Basic Groupings
       Theravada Buddhism: The oldest Buddhist school, Theravada is practiced mostly in Sri Lanka, Cambodia, Laos, Burma, and Thailand, with minority representation elsewhere in Asia and the West. Theravadans follow the Pali Canon of Buddha's teachings, and believe that one may escape the cycle of rebirth, worldly attachment, and suffering for oneself; this process may take one or several lifetimes.
       Mahayana Buddhism, including subsets Zen and Tibetan (Lamaistic) Buddhism: Forms of Mahayana Buddhism are common in East Asia and Tibet, and parts of the West. Mahayanas have additional scriptures beyond the Pali Canon and believe the Buddha is eternal and still teaching. Unlike Theravada Buddhism, Mahayana schools maintain the Buddha-nature is present in all beings and all will ultimately achieve enlightenment.
        Hoa Hao: a minority tradition of Buddhism practiced in Vietnam that stresses lay participation, primarily by peasant farmers; it eschews ...
    Full definition
  • Age structure > 65 years and over: The distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest."
  • School life expectancy > Primary to tertiary > Male: This entry is derived from People > School life expectancy > Primary to tertiary , which school life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • School life expectancy > Primary to tertiary > Total: This entry is derived from People > School life expectancy > Primary to tertiary , which school life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Age structure > 15-64 years: The distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.
  • Median age > Male: This entry is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. Currently, the median age ranges from a low of about 15 in Uganda and Gaza Strip to 40 or more in several European countries and Japan. See the entry for "Age structure" for the importance of a young versus an older age structure and, by implication, a low versus a higher median age.
  • School life expectancy > Primary to tertiary education > Female: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Literacy > Female: This entry is derived from People > Literacy, which includes a definition of literacy and Census Bureau percentages for the total population, males, and females. There are no universal definitions and standards of literacy. Unless otherwise specified, all rates are based on the most common definition - the ability to read and write at a specified age. Detailing the standards that individual countries use to assess the ability to read and write is beyond the scope of the Factbook. Information on literacy, while not a perfect measure of educational results, is probably the most easily available and valid for international comparisons. Low levels of literacy, and education in general, can impede the economic development of a country in the current rapidly changing, technology-driven world.
  • Drinking water source > Improved > Urban: This entry is derived from People > Drinking water source > Improved, which provides information about access to improved or unimproved drinking water sources available to segments of the population of a country.improved drinking water - use of any of the following sources: piped water into dwelling, yard, or plot; public tap or standpipe; tubewell or borehole; protected dug well; protected spring; or rainwater collection. unimproved drinking water - use of any of the following sources: unprotected dug well; unprotected spring; cart with small tank or drum; tanker truck; surface water, which includes rivers, dams, lakes, ponds, streams, canals or irrigation channels; or bottled water.
  • Life expectancy at birth > Female: This entry is derived from People > Life expectancy at birth, which contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
  • Life expectancy at birth > Male: This entry is derived from People > Life expectancy at birth, which contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
  • Life expectancy at birth > Total population: This entry is derived from People > Life expectancy at birth, which contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
  • Literacy > Male: This entry is derived from People > Literacy, which includes a definition of literacy and Census Bureau percentages for the total population, males, and females. There are no universal definitions and standards of literacy. Unless otherwise specified, all rates are based on the most common definition - the ability to read and write at a specified age. Detailing the standards that individual countries use to assess the ability to read and write is beyond the scope of the Factbook. Information on literacy, while not a perfect measure of educational results, is probably the most easily available and valid for international comparisons. Low levels of literacy, and education in general, can impede the economic development of a country in the current rapidly changing, technology-driven world.
  • Literacy > Total population: This entry is derived from People > Literacy, which includes a definition of literacy and Census Bureau percentages for the total population, males, and females. There are no universal definitions and standards of literacy. Unless otherwise specified, all rates are based on the most common definition - the ability to read and write at a specified age. Detailing the standards that individual countries use to assess the ability to read and write is beyond the scope of the Factbook. Information on literacy, while not a perfect measure of educational results, is probably the most easily available and valid for international comparisons. Low levels of literacy, and education in general, can impede the economic development of a country in the current rapidly changing, technology-driven world.
    Additional details:
    • Gibraltar: above 80% (2013)
  • Unemployment, youth ages 15-24 > Total: This entry is derived from People > Unemployment, youth ages 15-24, which gives the percent of the total labor force ages 15-24 unemployed during a specified year.
  • Urban population: Urban population is the midyear population of areas defined as urban in each country and reported to the United Nations.
  • Total Population: Total Population, as of April 26, 2005
  • Urbanization: Estimates and projections of urban and rural populations are made by the Population Division of the United Nations Secretariat and published every two years. These estimates and projections are based on national census or survey data that have been evaluated and, whenever necessary, adjusted for deficiencies and inconsistencies. Urban-rural classification of population in internationally published statistics follows the national census definition, which differs from one country or area to another. National definitions are usually based on criteria that may include any of the following: size of population in a locality, population density, distance between built-up areas, predominant type of economic activity, legal or administrative boundaries and urban characteristics such as specific services and facilities.
  • Population > CIA Factbook: This entry gives an estimate from the US Bureau of the Census based on statistics from population censuses, vital statistics registration systems, or sample surveys pertaining to the recent past and on assumptions about future trends. The total population presents one overall measure of the potential impact of the country on the world and within its region. Note: starting with the 1993 Factbook, demographic estimates for some countries (mostly African) have explicitly taken into account the effects of the growing impact of the HIV/AIDS epidemic. These countries are currently: The Bahamas, Benin, Botswana, Brazil, Burkina Faso, Burma, Burundi, Cambodia, Cameroon, Central African Republic, Democratic Republic of the Congo, Republic of the Congo, Cote d'Ivoire, Ethiopia, Gabon, Ghana, Guyana, Haiti, Honduras, Kenya, Lesotho, Malawi, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Swaziland, Tanzania, Thailand, Togo, Uganda, Zambia, and Zimbabwe.
  • Rural population: Rural population is calculated as the difference between the total population and the urban population.
  • Total Population > Female: Total Population - Female, as of April 26, 2005
  • Total Population > Male: Total Population - Male, as of April 26, 2005
  • Urban population > Per capita: Urban population is the midyear population of areas defined as urban in each country and reported to the United Nations. Per capita figures expressed per 1 population.
  • Rural population > Per capita: Rural population is calculated as the difference between the total population and the urban population. Per capita figures expressed per 1,000 population.
  • Population density: Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes."
  • Structure > Population > Total: Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values shown are midyear estimates."
  • Male population > Age 20-24: Male population - Age 20-24, as of April 26, 2005
  • Total population > Age 30-34 > % of the total: Total population - Age 30-34 - % of the total, as of April 26, 2005
  • Total population > Age 70-74: Total population - Age 70-74, as of April 26, 2005
  • Male population > Age 55-59 per 1000: Male population - Age 55-59, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 10-14 > % of the total: Female population - Age 10-14 - % of the total, as of April 26, 2005
  • Female population > Age 65-69 > % of the total: Female population - Age 65-69 - % of the total, as of April 26, 2005
  • Male population > Age 25-29 > % of the total: Male population - Age 25-29 - % of the total, as of April 26, 2005
  • Female population > Age 25-29: Female population - Age 25-29, as of April 26, 2005
  • Female population > Age 40-44: Female population - Age 40-44, as of April 26, 2005
  • Male population > Age 15-19: Male population - Age 15-19, as of April 26, 2005
  • Male population > Age 35-39: Male population - Age 35-39, as of April 26, 2005
  • Male population > Age 40-44: Male population - Age 40-44, as of April 26, 2005
  • Total population > Age 40-44: Total population - Age 40-44, as of April 26, 2005
  • Total population > Age 35-39: Total population - Age 35-39, as of April 26, 2005
  • Total population > Age 35-39 > % of the total: Total population - Age 35-39 - % of the total, as of April 26, 2005
  • Total population > Age 45-49: Total population - Age 45-49, as of April 26, 2005
  • Total population > Age 65-69: Total population - Age 65-69, as of April 26, 2005
  • Total population > Age 60-64 > % of the total: Total population - Age 60-64 - % of the total, as of April 26, 2005
  • Total population > Age 70-74 > % of the total: Total population - Age 70-74 - % of the total, as of April 26, 2005
  • Total population > Age 65-69 > % of the total: Total population - Age 65-69 - % of the total, as of April 26, 2005
  • Total population > Age 75-79 > % of the total: Total population - Age 75-79 - % of the total, as of April 26, 2005
  • Total population > Age 75-79: Total population - Age 75-79, as of April 26, 2005
  • Population > Population in the largest city > % of urban population: Population in the largest city (% of urban population). Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.
  • Male population > Age 65-69 per 1000: Male population - Age 65-69, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 65-69: Male population - Age 65-69, as of April 26, 2005
  • Female population > Age 15-19 per 1000: Female population - Age 15-19, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 70-74 per 1000: Male population - Age 70-74, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 75-79 per 1000: Male population - Age 75-79, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 80-84 per 1000: Male population - Age 80-84, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 35-39 per 1000: Female population - Age 35-39, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 25-29 > % of the total: Female population - Age 25-29 - % of the total, as of April 26, 2005
  • Female population > Age 20-24 > % of the total: Female population - Age 20-24 - % of the total, as of April 26, 2005
  • Female population > Age 40-44 > % of the total: Female population - Age 40-44 - % of the total, as of April 26, 2005
  • Female population > Age 35-39 > % of the total: Female population - Age 35-39 - % of the total, as of April 26, 2005
  • Female population > Age 30-34: Female population - Age 30-34, as of April 26, 2005
  • Female population > Age 35-39: Female population - Age 35-39, as of April 26, 2005
  • Female population > Age 30-34 > % of the total: Female population - Age 30-34 - % of the total, as of April 26, 2005
  • Female population > Age 45-49: Female population - Age 45-49, as of April 26, 2005
  • Female population > Age 55-59: Female population - Age 55-59, as of April 26, 2005
  • Female population > Age 50-54: Female population - Age 50-54, as of April 26, 2005
  • Female population > Age 50-54 > % of the total: Female population - Age 50-54 - % of the total, as of April 26, 2005
  • Female population > Age 55-59 > % of the total: Female population - Age 55-59 - % of the total, as of April 26, 2005
  • Female population > Age 45-49 > % of the total: Female population - Age 45-49 - % of the total, as of April 26, 2005
  • Female population > Age 70-74: Female population - Age 70-74, as of April 26, 2005
  • Female population > Age 60-64: Female population - Age 60-64, as of April 26, 2005
  • Female population > Age 65-69: Female population - Age 65-69, as of April 26, 2005
  • Female population > Age 70-74 > % of the total: Female population - Age 70-74 - % of the total, as of April 26, 2005
  • Female population > Age 75-79: Female population - Age 75-79, as of April 26, 2005
  • Female population > Age 80-84 > % of the total: Female population - Age 80-84 - % of the total, as of April 26, 2005
  • Female population > Age 75-79 > % of the total: Female population - Age 75-79 - % of the total, as of April 26, 2005
  • Male population > Age 10-14 > % of the total: Male population - Age 10-14 - % of the total, as of April 26, 2005
  • Male population > Age 10-14: Male population - Age 10-14, as of April 26, 2005
  • Male population > Age 15-19 > % of the total: Male population - Age 15-19 - % of the total, as of April 26, 2005
  • Male population > Age 25-29: Male population - Age 25-29, as of April 26, 2005
  • Male population > Age 40-44 > % of the total: Male population - Age 40-44 - % of the total, as of April 26, 2005
  • Male population > Age 30-34 > % of the total: Male population - Age 30-34 - % of the total, as of April 26, 2005
  • Male population > Age 35-39 > % of the total: Male population - Age 35-39 - % of the total, as of April 26, 2005
  • Male population > Age 20-24 > % of the total: Male population - Age 20-24 - % of the total, as of April 26, 2005
  • Male population > Age 45-49: Male population - Age 45-49, as of April 26, 2005
  • Male population > Age 50-54: Male population - Age 50-54, as of April 26, 2005
  • Male population > Age 55-59: Male population - Age 55-59, as of April 26, 2005
  • Male population > Age 45-49 > % of the total: Male population - Age 45-49 - % of the total, as of April 26, 2005
  • Male population > Age 50-54 > % of the total: Male population - Age 50-54 - % of the total, as of April 26, 2005
  • Male population > Age 60-64: Male population - Age 60-64, as of April 26, 2005
  • Male population > Age 65-69 > % of the total: Male population - Age 65-69 - % of the total, as of April 26, 2005
  • Male population > Age 60-64 > % of the total: Male population - Age 60-64 - % of the total, as of April 26, 2005
  • Male population > Age 55-59 > % of the total: Male population - Age 55-59 - % of the total, as of April 26, 2005
  • Male population > Age 70-74 > % of the total: Male population - Age 70-74 - % of the total, as of April 26, 2005
  • Male population > Age 75-79 > % of the total: Male population - Age 75-79 - % of the total, as of April 26, 2005
  • Male population > Age 80-84 > % of the total: Male population - Age 80-84 - % of the total, as of April 26, 2005
  • Male population > Age 75-79: Male population - Age 75-79, as of April 26, 2005
  • Male population > Age 80-84: Male population - Age 80-84, as of April 26, 2005
  • Female population > Age 45-49 per 1000: Female population - Age 45-49, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 55-59 per 1000: Female population - Age 55-59, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total Population per capita: Total Population, as of April 26, 2005. Figures expressed per capita for the same year.
  • Total Population > Female per 1000: Total Population - Female, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total Population > Male per 1000: Total Population - Male, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 15-19: Total population - Age 15-19, as of April 26, 2005
  • Total population > Age 10-14 per 1000: Total population - Age 10-14, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 15-19 per 1000: Total population - Age 15-19, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • GDP per capita > Current US$: GDP per capita (current US$). GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.
  • GDP per capita > Constant 2000 US$: GDP per capita (constant 2000 US$). GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2005 U.S. dollars.
  • GDP per capita growth > Annual %: GDP per capita growth (annual %). Annual percentage growth rate of GDP per capita based on constant local currency. Aggregates are based on constant 2005 U.S. dollars. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
  • Total population > Age 25-29 per 1000: Total population - Age 25-29, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 80-84 per 1000: Total population - Age 80-84, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 30-34 per 1000: Total population - Age 30-34, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 30-34 per 1000: Male population - Age 30-34, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 50-54: Total population - Age 50-54, as of April 26, 2005
  • Female population > Age 20-24 per 1000: Female population - Age 20-24, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 70-74 per 1000: Total population - Age 70-74, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 60-64 per 1000: Total population - Age 60-64, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 10-14 per 1000: Female population - Age 10-14, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 25-29 per 1000: Female population - Age 25-29, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Female population > Age 40-44 per 1000: Female population - Age 40-44, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 40-44 per 1000: Male population - Age 40-44, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 40-44 per 1000: Total population - Age 40-44, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 45-49 per 1000: Total population - Age 45-49, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 65-69 per 1000: Total population - Age 65-69, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Urban population growth > Annual %: Urban population is the midyear population of areas defined as urban in each country and reported to the United Nations.
  • Total population > Age 50-54 per 1000: Total population - Age 50-54, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Primary completion rate, female > % of relevant age group: Primary completion rate, female (% of relevant age group). Primary completion rate. Female is the total number of new female entrants in the last grade of primary education, regardless of age, expressed as percentage of the total female population of the theoretical entrance age to the last grade of primary. This indicator is also known as "gross intake rate to the last grade of primary." The ratio can exceed 100% due to over-aged and under-aged children who enter primary school late/early and/or repeat grades.
  • Primary completion rate, male > % of relevant age group: Primary completion rate, male (% of relevant age group). Primary completion rate. Male is the total number of new male entrants in the last grade of primary education, regardless of age, expressed as percentage of the total male population of the theoretical entrance age to the last grade of primary. This indicator is also known as "gross intake rate to the last grade of primary." The ratio can exceed 100% due to over-aged and under-aged children who enter primary school late/early and/or repeat grades.
  • Migration > Net migration rate: The difference between the number of persons entering and leaving a country during the year per 1,000 persons (based on midyear population). An excess of persons entering the country is referred to as net immigration (e.g., 3.56 migrants/1,000 population); an excess of persons leaving the country as net emigration (e.g., -9.26 migrants/1,000 population). The net migration rate indicates the contribution of migration to the overall level of population change. High levels of migration can cause problems such as increasing unemployment and potential ethnic strife (if people are coming in) or a reduction in the labor force, perhaps in certain key sectors (if people are leaving).
  • Number of infant deaths: Number of infant deaths. Number of infants dying before reaching one year of age.
  • Number of under-five deaths: Number of under-five deaths. Number of children dying before reaching age five.
  • Number of neonatal deaths: Number of neonatal deaths. Number of neonates dying before reaching 28 days of age.
  • Fertility > Mortality rate, under-5 > Per 1,000 live births: Mortality rate, under-5 (per 1,000 live births). Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to current age-specific mortality rates.
  • Fertility > Mortality rate, under-5, female > Per 1,000 live births: Mortality rate, under-5, female (per 1,000 live births). Mortality rate, under-5, female (per 1,000)
  • Fertility > Mortality rate, under-5, male > Per 1,000 live births: Mortality rate, under-5, male (per 1,000 live births). Mortality rate, under-5, male (per 1,000)
  • Fertility > Mortality rate, neonatal > Per 1,000 live births: Mortality rate, neonatal (per 1,000 live births). Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.
  • Improved water source, rural > % of rural population with access: Improved water source, rural (% of rural population with access). Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the useru2019s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
  • Improved water source, urban > % of urban population with access: Improved water source, urban (% of urban population with access). Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the useru2019s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
  • Improved water source > % of population with access: Improved water source (% of population with access). Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the useru2019s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).
  • Improved sanitation facilities > % of population with access: Improved sanitation facilities (% of population with access). Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. The improved sanitation facilities include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
  • Improved sanitation facilities, rural > % of rural population with access: Improved sanitation facilities, rural (% of rural population with access). Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. The improved sanitation facilities include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
  • Improved sanitation facilities, urban > % of urban population with access: Improved sanitation facilities, urban (% of urban population with access). Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. The improved sanitation facilities include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.
  • Malnutrition prevalence, weight for age > % of children under 5: Malnutrition prevalence, weight for age (% of children under 5). Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.
  • Fertility > Maternal mortality ratio > National estimate, per 100,000 live births: Maternal mortality ratio (national estimate, per 100,000 live births). Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.
  • Prevalence of overweight > % of children under 5: Prevalence of overweight (% of children under 5). Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.
  • Malnutrition prevalence, height for age > % of children under 5: Malnutrition prevalence, height for age (% of children under 5). Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.
  • Prevalence of wasting > % of children under 5: Prevalence of wasting (% of children under 5). Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.
  • Emigration rate of tertiary educated > % of total tertiary educated population: Emigration rate of tertiary educated (% of total tertiary educated population). Emigration rate of tertiary educated shows the stock of emigrants ages 25 and older, residing in an OECD country other than that in which they were born, with at least one year of tertiary education as a percentage of the population age 25 and older with tertiary education.
  • Refugee population by country or territory of origin: Refugee population by country or territory of origin. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.
  • International migrant stock, total: International migrant stock, total. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
  • International migrant stock > % of population: International migrant stock (% of population). International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.
  • Prevalence of undernourishment > % of population: Prevalence of undernourishment (% of population). Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 2.5 signifies a prevalence of undernourishment below 2.5%.
  • Mortality rate, adult, female > Per 1,000 female adults: Mortality rate, adult, female (per 1,000 female adults). Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.
  • Mortality rate, adult, male > Per 1,000 male adults: Mortality rate, adult, male (per 1,000 male adults). Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.
  • Fertility > Birth rate, crude > Per 1,000 people: Birth rate, crude (per 1,000 people). Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
  • Death rate, crude > Per 1,000 people: Death rate, crude (per 1,000 people). Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
  • Fertility > Mortality rate, infant > Per 1,000 live births: Mortality rate, infant (per 1,000 live births). Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
  • Fertility > Fertility rate, total > Births per woman: Fertility rate, total (births per woman). Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates.
  • Survival to age 65, female > % of cohort: Survival to age 65, female (% of cohort). Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates.
  • Survival to age 65, male > % of cohort: Survival to age 65, male (% of cohort). Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates.
  • Age dependency ratio > % of working-age population: Age dependency ratio (% of working-age population). Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
  • Age dependency ratio, old > % of working-age population: Age dependency ratio, old (% of working-age population). Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
  • Age dependency ratio, young > % of working-age population: Age dependency ratio, young (% of working-age population). Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
  • Population, total: Population, total. Population, total refers to the total population.
  • Population, female > % of total: Population, female (% of total). Population, female (% of total) is the percentage of the population that is female.
  • Rural population > % of total population: Rural population (% of total population). Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
  • Urban population > % of total: Urban population (% of total). Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.
  • Urban population per 1000: Urban population is the midyear population of areas defined as urban in each country and reported to the United Nations. Figures expressed per thousand population for the same year.
  • Rural population per 1000: Rural population is calculated as the difference between the total population and the urban population. Figures expressed per thousand population for the same year.
  • Population > CIA Factbook per capita: This entry gives an estimate from the US Bureau of the Census based on statistics from population censuses, vital statistics registration systems, or sample surveys pertaining to the recent past and on assumptions about future trends. The total population presents one overall measure of the potential impact of the country on the world and within its region. Note: starting with the 1993 Factbook, demographic estimates for some countries (mostly African) have explicitly taken into account the effects of the growing impact of the HIV/AIDS epidemic. These countries are currently: The Bahamas, Benin, Botswana, Brazil, Burkina Faso, Burma, Burundi, Cambodia, Cameroon, Central African Republic, Democratic Republic of the Congo, Republic of the Congo, Cote d'Ivoire, Ethiopia, Gabon, Ghana, Guyana, Haiti, Honduras, Kenya, Lesotho, Malawi, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Swaziland, Tanzania, Thailand, Togo, Uganda, Zambia, and Zimbabwe. Figures expressed per capita for the same year.
  • Age structure > 0-14 years > Females per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Age structure > 65 years and over > Females per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Age structure > 15-64 years > Males per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Age structure > 15-64 years > Females per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Age structure > 65 years and over > Males per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Age structure > 0-14 years > Males per 1000: This entry provides the distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest. Figures expressed per thousand population for the same year.
  • Health expenditures: This entry provides the total expenditure on health as a percentage of GDP. Health expenditures are broadly defined as activities performed either by institutions or individuals through the application of medical, paramedical, and/or nursing knowledge and technology, the primary purpose of which is to promote, restore, or maintain health.
  • Percentage living in urban areas: Percentage of people living in urban areas. Data for 2003. Urban-rural classification of population in internationally published statistics follows the national census definition, which differs from one country or area to another. National definitions are usually based on criteria that may include any of the following: size of population in a locality, population density, distance between built-up areas, predominant type of economic activity, legal or administrative boundaries and urban characteristics such as specific services and facilities.
  • Percentage living in rural areas.: Percentage of people living in rural areas. Data for 2003. Urban-rural classification of population in internationally published statistics follows the national census definition, which differs from one country or area to another. National definitions are usually based on criteria that may include any of the following: size of population in a locality, population density, distance between built-up areas, predominant type of economic activity, legal or administrative boundaries and urban characteristics such as specific services and facilities.
  • Female population > Age 20-24: Female population - Age 20-24, as of April 26, 2005
  • Female population > Age 10-14: Female population - Age 10-14, as of April 26, 2005
  • Total population > Age 40-44 > % of the total: Total population - Age 40-44 - % of the total, as of April 26, 2005
  • Female population > Age 15-19: Female population - Age 15-19, as of April 26, 2005
  • Female population > Age 60-64 > % of the total: Female population - Age 60-64 - % of the total, as of April 26, 2005
  • Male population > Age 70-74: Male population - Age 70-74, as of April 26, 2005
  • Droughts, floods, extreme temperatures > % of population, average 1990-2009: Droughts, floods, extreme temperatures (% of population, average 1990-2009). Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.
  • Total population > Age 20-24 per 1000: Total population - Age 20-24, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 55-59 per 1000: Total population - Age 55-59, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 20-24 per 1000: Male population - Age 20-24, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 15-19 per 1000: Male population - Age 15-19, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Male population > Age 35-39 per 1000: Male population - Age 35-39, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 35-39 per 1000: Total population - Age 35-39, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Total population > Age 75-79 per 1000: Total population - Age 75-79, as of April 26, 2005. Figures expressed per thousand population for the same year.
  • Number of infant deaths per 1000: Number of infant deaths. Number of infants dying before reaching one year of age. Figures expressed per thousand population for the same year.
  • Number of neonatal deaths per million: Number of neonatal deaths. Number of neonates dying before reaching 28 days of age. Figures expressed per million population for the same year.
  • Net migration per million: Net migration. Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates. Figures expressed per million population for the same year.
  • Refugee population by country or territory of origin per 1000: Refugee population by country or territory of origin. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant. Figures expressed per thousand population for the same year.
  • International migrant stock, total per 1000: International migrant stock, total. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data. Figures expressed per thousand population for the same year.
  • Population, total per 1000: Population, total. Population, total refers to the total population. Figures expressed per thousand population for the same year.
  • Obesity > Adult prevalence rate: This entry gives the percent of a country's population considered to be obese. Obesity is defined as an adult having a Body Mass Index (BMI) greater to or equal to 30.0. BMI is calculated by taking a person's weight in kg and dividing it by the person's squared height in meters.
  • Population growth > Annual %: Annual population growth rate. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of the country of origin.
  • School life expectancy > Primary to tertiary > Female: School life expectancy (SLE) is the total number of years of schooling (primary to tertiary) that a child can expect to receive, assuming that the probability of his or her being enrolled in school at any particular future age is equal to the current enrollment ratio at that age.Caution must be maintained when utilizing this indicator in international comparisons. For example, a year or grade completed in one country is not necessarily the same in terms of educational content or quality as a year or grade completed in another country. SLE represents the expected number of years of schooling that will be completed, including years spent repeating one or more grades.
  • Note: Country people note.
  • Number of under-five deaths per 1000: Number of under-five deaths. Number of children dying before reaching age five. Figures expressed per thousand population for the same year.
  • Net migration: Net migration. Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.
  • Fertility > Adolescent fertility rate > Births per 1,000 women ages 15-19: Adolescent fertility rate (births per 1,000 women ages 15-19). Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
STAT Germany Seychelles HISTORY
Birth rate 8.37 births/1,000 population
Ranked 217th.
14.85 births/1,000 population
Ranked 135th. 77% more than Germany

Death rate 11.17 deaths/1,000 population
Ranked 36th. 62% more than Seychelles
6.89 deaths/1,000 population
Ranked 134th.

Ethnic groups German 91.5%, Turkish 2.4%, other 6.1% (made up largely of Greek, Italian, Polish, Russian, Serbo-Croatian, Spanish) mixed French, African, Indian, Chinese, and Arab
Hospital bed density 8.3 beds/1,000 population
Ranked 1st. 2 times more than Seychelles
3.6 beds/1,000 population
Ranked 20th.

Infant mortality rate > Total 3.48 deaths/1,000 live births
Ranked 208th.
11.06 deaths/1,000 live births
Ranked 136th. 3 times more than Germany

Nationality > Adjective German Seychellois
Nationality > Noun German(s) Seychellois (singular and plural)
Physicians density 3.69 physicians/1,000 population
Ranked 8th. 2 times more than Seychelles
1.51 physicians/1,000 population
Ranked 4th.
Population 81.15 million
Ranked 16th. 893 times more than Seychelles
90,846
Ranked 196th.

Population growth rate -0.19%
Ranked 210th.
0.9%
Ranked 123th.

Population in 2015 82,513
Ranked 17th. 938 times more than Seychelles
88
Ranked 194th.
Sex ratio > 65 years and over 0.76 male(s)/female
Ranked 140th. 25% more than Seychelles
0.61 male(s)/female
Ranked 210th.

Sex ratio > At birth 1.06 male(s)/female
Ranked 35th. 3% more than Seychelles
1.03 male(s)/female
Ranked 174th.

Sex ratio > Total population 0.97 male(s)/female
Ranked 140th.
1.04 male(s)/female
Ranked 23th. 7% more than Germany

Total fertility rate 1.42 children born/woman
Ranked 197th.
1.89 children born/woman
Ranked 138th. 33% more than Germany

Net migration rate None None
School life expectancy > Primary to tertiary education > Female None None
School life expectancy > Primary to tertiary education > Male None None
School life expectancy > Primary to tertiary > Male 16 years
Ranked 10th. 14% more than Seychelles
14 years
Ranked 46th.

School life expectancy > Primary to tertiary > Total 16 years
Ranked 16th. 14% more than Seychelles
14 years
Ranked 51st.

Sex ratio > Under 15 years 1.05 male(s)/female
Ranked 64th. The same as Seychelles
1.05 male(s)/female
Ranked 67th.

Sanitation facility access > Improved > Urban 100% of population
Ranked 2nd. 2% more than Seychelles
98% of population
Ranked 55th.
School life expectancy > Primary to tertiary > Female 16 years
Ranked 1st. 14% more than Seychelles
14 years
Ranked 30th.

Median age > Female 46.8 years
Ranked 3rd. 38% more than Seychelles
34 years
Ranked 80th.

Median age > Total 45.7 years
Ranked 3rd. 37% more than Seychelles
33.4 years
Ranked 79th.

Infant mortality rate > Female 3.17 deaths/1,000 live births
Ranked 206th.
8.18 deaths/1,000 live births
Ranked 146th. 3 times more than Germany

Infant mortality rate > Male 3.78 deaths/1,000 live births
Ranked 208th.
13.85 deaths/1,000 live births
Ranked 127th. 4 times more than Germany

Major cities > Population BERLIN (capital) 3.438 million; Hamburg 1.786 million; Munich 1.349 million; Cologne 1.001 million VICTORIA (capital) 26,000
Age structure > 0-14 years 13.1%
Ranked 225th.
21.2%
Ranked 147th. 62% more than Germany

Sex ratio > 15-64 years 1.02
Ranked 58th.
1.1
Ranked 13th. 8% more than Germany

School life expectancy > Primary to tertiary education > Male 16 years
Ranked 11th. 23% more than Seychelles
13 years
Ranked 75th.
School life expectancy > Primary to tertiary education > Total 16 years
Ranked 17th. 23% more than Seychelles
13 years
Ranked 82nd.
Languages German Creole 91.8%, English (official) 4.9%, other 3.1%, unspecified 0.2%
Literacy > Definition age 15 and over can read and write age 15 and over can read and write
Age structure > 15-24 years 10.8%
Ranked 213th.
14.6%
Ranked 158th. 35% more than Germany
Age structure > 25-54 years 42%
Ranked 91st.
49.3%
Ranked 10th. 17% more than Germany
Age structure > 55-64 years 13.3%
Ranked 20th. 71% more than Seychelles
7.8%
Ranked 109th.
Dependency ratios > Elderly dependency ratio 32.1%
Ranked 3rd. 3 times more than Seychelles
11%
Ranked 75th.
Dependency ratios > Potential support ratio 3.1
Ranked 194th.
9.1
Ranked 120th. 3 times more than Germany
Dependency ratios > Youth dependency ratio 19.9%
Ranked 192nd.
31.6%
Ranked 128th. 59% more than Germany
Dependency ratios > Total dependency ratio 52%
Ranked 106th. 22% more than Seychelles
42.6%
Ranked 165th.
Religions Protestant 34%, Roman Catholic 34%, Muslim 3.7%, unaffiliated or other 28.3% Roman Catholic 82.3%, Protestant 7.5% (Anglican 6.4%, Seventh-Day Adventist 1.1%), other Christian 3.4%, Hindu 2.1%, Muslim 1.1%, other non-Christian 1.5%, unspecified 1.5%, none 0.6%
Age structure > 65 years and over 20.9%
Ranked 3rd. 3 times more than Seychelles
7.3%
Ranked 99th.

School life expectancy > Primary to tertiary > Male 16 years
Ranked 11th. 23% more than Seychelles
13 years
Ranked 75th.

Education expenditures 5.1% of GDP
Ranked 44th. 6% more than Seychelles
4.8% of GDP
Ranked 8th.

School life expectancy > Primary to tertiary > Total 16 years
Ranked 17th. 23% more than Seychelles
13 years
Ranked 82nd.

Age structure > 15-64 years 66.1%
Ranked 106th.
71.4%
Ranked 20th. 8% more than Germany

Median age > Male 44.7 years
Ranked 2nd. 35% more than Seychelles
33 years
Ranked 76th.

School life expectancy > Primary to tertiary education > Female 16 years
Ranked 1st. 14% more than Seychelles
14 years
Ranked 30th.
School life expectancy > Primary to tertiary education > Total None None
Literacy > Female 99%
Ranked 8th. 7% more than Seychelles
92.3%
Ranked 43th.

Drinking water source > Improved > Urban 100% of population
Ranked 4th. The same as Seychelles
100% of population
Ranked 2nd.
Life expectancy at birth > Female 82.72 years
Ranked 36th. 5% more than Seychelles
78.76 years
Ranked 86th.

Life expectancy at birth > Male 78.04 years
Ranked 28th. 12% more than Seychelles
69.4 years
Ranked 132nd.

Life expectancy at birth > Total population 80.32 years
Ranked 28th. 9% more than Seychelles
74.01 years
Ranked 114th.

Literacy > Male 99%
Ranked 38th. 8% more than Seychelles
91.4%
Ranked 127th.

Literacy > Total population 99%
Ranked 28th. 8% more than Seychelles
91.8%
Ranked 128th.

Unemployment, youth ages 15-24 > Total 8.5%
Ranked 110th.
20.3%
Ranked 1st. 2 times more than Germany
Urbanization in 2015 89.9%
Ranked 21st. 24% more than Seychelles
72.3%
Ranked 57th.
Urban population 62.02 million
Ranked 10th. 1387 times more than Seychelles
44,697.55
Ranked 186th.

Total Population 82.42 million
Ranked 14th. 1011 times more than Seychelles
81,541
Ranked 197th.
Urbanization 88
Ranked 25th. 35% more than Seychelles
65
Ranked 78th.
Population > CIA Factbook 82.37 million
Ranked 16th. 1001 times more than Seychelles
82,247
Ranked 198th.

Rural population 20.45 million
Ranked 27th. 514 times more than Seychelles
39,796.88
Ranked 178th.

Total Population > Female 41.96 million
Ranked 14th. 994 times more than Seychelles
42,207
Ranked 197th.
Total Population > Male 40.47 million
Ranked 14th. 1029 times more than Seychelles
39,334
Ranked 196th.
Urban population > Per capita 0.752 per capita
Ranked 44th. 42% more than Seychelles
0.529 per capita
Ranked 106th.

Rural population > Per capita 248 per 1,000 people
Ranked 149th.
471 per 1,000 people
Ranked 88th. 90% more than Germany

Population density 235.43
Ranked 40th. 25% more than Seychelles
189.03
Ranked 50th.

Structure > Population > Total 81.88 million
Ranked 16th. 931 times more than Seychelles
87,972
Ranked 182nd.

Urbanization > Urban population None None
Urbanization in 1975 81.2%
Ranked 14th. 2 times more than Seychelles
33.3%
Ranked 106th.
Male population > Age 20-24 2.43 million
Ranked 21st. 650 times more than Seychelles
3,742
Ranked 194th.
Total population > Age 30-34 > % of the total 5.91
Ranked 200th.
8.96
Ranked 9th. 52% more than Germany
Total population > Age 70-74 3.85 million
Ranked 7th. 2828 times more than Seychelles
1,361
Ranked 199th.
Male population > Age 55-59 per 1000 30.24
Ranked 33th. 3 times more than Seychelles
11.51
Ranked 147th.
Female population > Age 10-14 > % of the total 2.44
Ranked 215th.
4.58
Ranked 121st. 88% more than Germany
Female population > Age 65-69 > % of the total 3.41
Ranked 4th. 3 times more than Seychelles
1.11
Ranked 105th.
Male population > Age 25-29 > % of the total 2.95
Ranked 216th.
4.5
Ranked 34th. 53% more than Germany
Female population > Age 25-29 2.3 million
Ranked 19th. 612 times more than Seychelles
3,760
Ranked 194th.
Female population > Age 40-44 3.53 million
Ranked 10th. 1048 times more than Seychelles
3,369
Ranked 194th.
Male population > Age 15-19 2.47 million
Ranked 21st. 650 times more than Seychelles
3,802
Ranked 195th.
Male population > Age 35-39 3.42 million
Ranked 12th. 897 times more than Seychelles
3,815
Ranked 192nd.
Male population > Age 40-44 3.76 million
Ranked 9th. 1218 times more than Seychelles
3,084
Ranked 196th.
Total population > Age 40-44 7.29 million
Ranked 10th. 1130 times more than Seychelles
6,453
Ranked 194th.
Total population > Age 35-39 6.65 million
Ranked 12th. 855 times more than Seychelles
7,773
Ranked 193th.
Total population > Age 35-39 > % of the total 8.07
Ranked 40th.
9.53
Ranked 9th. 18% more than Germany
Total population > Age 45-49 6.47 million
Ranked 8th. 1320 times more than Seychelles
4,900
Ranked 197th.
Total population > Age 65-69 5.39 million
Ranked 7th. 3769 times more than Seychelles
1,429
Ranked 202nd.
Total population > Age 60-64 > % of the total 5.49
Ranked 13th. 3 times more than Seychelles
1.93
Ranked 148th.
Total population > Age 70-74 > % of the total 4.67
Ranked 7th. 3 times more than Seychelles
1.67
Ranked 99th.
Total population > Age 65-69 > % of the total 6.53
Ranked 1st. 4 times more than Seychelles
1.75
Ranked 127th.
Total population > Age 75-79 > % of the total 3.67
Ranked 10th. 3 times more than Seychelles
1.29
Ranked 91st.
Total population > Age 75-79 3.02 million
Ranked 6th. 2866 times more than Seychelles
1,054
Ranked 198th.
Population > Population in the largest city > % of urban population 5.72%
Ranked 121st.
56.29%
Ranked 40th. 10 times more than Germany

Male population > Age 65-69 per 1000 31.18
Ranked 1st. 5 times more than Seychelles
6.33
Ranked 155th.
Male population > Age 65-69 2.57 million
Ranked 6th. 4898 times more than Seychelles
525
Ranked 208th.
Female population > Age 15-19 per 1000 28.44
Ranked 190th.
44.93
Ranked 117th. 58% more than Germany
Male population > Age 70-74 per 1000 21.2
Ranked 5th. 4 times more than Seychelles
5.87
Ranked 119th.
Male population > Age 75-79 per 1000 15
Ranked 8th. 4 times more than Seychelles
4.02
Ranked 111th.
Male population > Age 80-84 per 1000 8.02
Ranked 27th. 3 times more than Seychelles
3.16
Ranked 101st.
Female population > Age 35-39 per 1000 39.12
Ranked 39th.
47.74
Ranked 5th. 22% more than Germany
Female population > Age 25-29 > % of the total 2.79
Ranked 217th.
4.61
Ranked 14th. 65% more than Germany
Female population > Age 20-24 > % of the total 2.8
Ranked 214th.
4.71
Ranked 67th. 68% more than Germany
Female population > Age 40-44 > % of the total 4.28
Ranked 18th. 4% more than Seychelles
4.13
Ranked 28th.
Female population > Age 35-39 > % of the total 3.91
Ranked 45th.
4.85
Ranked 7th. 24% more than Germany
Female population > Age 30-34 2.36 million
Ranked 18th. 645 times more than Seychelles
3,666
Ranked 193th.
Female population > Age 35-39 3.23 million
Ranked 12th. 815 times more than Seychelles
3,958
Ranked 191st.
Female population > Age 30-34 > % of the total 2.87
Ranked 199th.
4.5
Ranked 5th. 57% more than Germany
Female population > Age 45-49 3.17 million
Ranked 10th. 1231 times more than Seychelles
2,572
Ranked 197th.
Female population > Age 55-59 2.51 million
Ranked 8th. 2300 times more than Seychelles
1,090
Ranked 205th.
Female population > Age 50-54 2.82 million
Ranked 8th. 1981 times more than Seychelles
1,425
Ranked 204th.
Female population > Age 50-54 > % of the total 3.42
Ranked 36th. 95% more than Seychelles
1.75
Ranked 150th.
Female population > Age 55-59 > % of the total 3.04
Ranked 43th. 2 times more than Seychelles
1.34
Ranked 148th.
Female population > Age 45-49 > % of the total 3.84
Ranked 30th. 22% more than Seychelles
3.15
Ranked 83th.
Female population > Age 70-74 2.1 million
Ranked 7th. 2403 times more than Seychelles
874
Ranked 196th.
Female population > Age 60-64 2.3 million
Ranked 8th. 2398 times more than Seychelles
961
Ranked 202nd.
Female population > Age 65-69 2.81 million
Ranked 7th. 3113 times more than Seychelles
904
Ranked 198th.
Female population > Age 70-74 > % of the total 2.55
Ranked 11th. 2 times more than Seychelles
1.07
Ranked 87th.
Female population > Age 75-79 1.78 million
Ranked 6th. 2475 times more than Seychelles
721
Ranked 196th.
Female population > Age 80-84 > % of the total 1.8
Ranked 9th. 62% more than Seychelles
1.11
Ranked 65th.
Female population > Age 75-79 > % of the total 2.16
Ranked 16th. 2 times more than Seychelles
0.88
Ranked 82nd.
Male population > Age 10-14 > % of the total 2.57
Ranked 216th.
4.69
Ranked 127th. 82% more than Germany
Male population > Age 10-14 2.12 million
Ranked 25th. 554 times more than Seychelles
3,824
Ranked 195th.
Male population > Age 15-19 > % of the total 3
Ranked 210th.
4.66
Ranked 123th. 55% more than Germany
Male population > Age 25-29 2.44 million
Ranked 19th. 664 times more than Seychelles
3,668
Ranked 194th.
Male population > Age 40-44 > % of the total 4.56
Ranked 14th. 21% more than Seychelles
3.78
Ranked 54th.
Male population > Age 30-34 > % of the total 3.04
Ranked 195th.
4.47
Ranked 14th. 47% more than Germany
Male population > Age 35-39 > % of the total 4.15
Ranked 33th.
4.68
Ranked 18th. 13% more than Germany
Male population > Age 20-24 > % of the total 2.95
Ranked 209th.
4.59
Ranked 102nd. 56% more than Germany
Male population > Age 45-49 3.3 million
Ranked 8th. 1418 times more than Seychelles
2,328
Ranked 200th.
Male population > Age 50-54 2.85 million
Ranked 8th. 2018 times more than Seychelles
1,412
Ranked 204th.
Male population > Age 55-59 2.49 million
Ranked 8th. 2614 times more than Seychelles
954
Ranked 208th.
Male population > Age 45-49 > % of the total 4.01
Ranked 21st. 40% more than Seychelles
2.86
Ranked 104th.
Male population > Age 50-54 > % of the total 3.46
Ranked 29th. Twice as much as Seychelles
1.73
Ranked 141st.
Male population > Age 60-64 2.22 million
Ranked 7th. 3620 times more than Seychelles
614
Ranked 209th.
Male population > Age 65-69 > % of the total 3.12
Ranked 1st. 5 times more than Seychelles
0.64
Ranked 163th.
Male population > Age 60-64 > % of the total 2.7
Ranked 16th. 4 times more than Seychelles
0.75
Ranked 179th.
Male population > Age 55-59 > % of the total 3.03
Ranked 37th. 3 times more than Seychelles
1.17
Ranked 156th.
Male population > Age 70-74 > % of the total 2.12
Ranked 4th. 4 times more than Seychelles
0.6
Ranked 126th.
Male population > Age 75-79 > % of the total 1.5
Ranked 9th. 4 times more than Seychelles
0.41
Ranked 121st.
Male population > Age 80-84 > % of the total 0.8
Ranked 35th. 3 times more than Seychelles
0.32
Ranked 111th.
Male population > Age 75-79 1.24 million
Ranked 6th. 3714 times more than Seychelles
333
Ranked 201st.
Male population > Age 80-84 661,485
Ranked 5th. 2525 times more than Seychelles
262
Ranked 202nd.
Female population > Age 45-49 per 1000 38.39
Ranked 26th. 24% more than Seychelles
31.03
Ranked 77th.
Female population > Age 55-59 per 1000 30.4
Ranked 41st. 2 times more than Seychelles
13.15
Ranked 141st.
Urbanization > Rate of urbanization None None
Total Population per capita 0.999
Ranked 112th. 2% more than Seychelles
0.984
Ranked 136th.
Total Population > Female per 1000 508.75
Ranked 101st.
509.13
Ranked 100th. The same as Germany
Total Population > Male per 1000 490.68
Ranked 122nd. 3% more than Seychelles
474.48
Ranked 159th.
Total population > Age 15-19 4.82 million
Ranked 21st. 640 times more than Seychelles
7,527
Ranked 195th.
Total population > Age 10-14 per 1000 50.09
Ranked 193th.
91.22
Ranked 112th. 82% more than Germany
Total population > Age 15-19 per 1000 58.42
Ranked 191st.
90.8
Ranked 118th. 55% more than Germany
GDP per capita > Current US$ $41,862.71
Ranked 19th. 3 times more than Seychelles
$12,858.18
Ranked 50th.

GDP per capita > Constant 2000 US$ $37,536.54
Ranked 16th. 3 times more than Seychelles
$14,387.12
Ranked 41st.

GDP per capita growth > Annual % 0.575%
Ranked 123th.
2.4%
Ranked 74th. 4 times more than Germany

Total population > Age 25-29 per 1000 57.45
Ranked 189th.
89.6
Ranked 41st. 56% more than Germany
Total population > Age 80-84 per 1000 25.96
Ranked 14th. 85% more than Seychelles
14.04
Ranked 64th.
Total population > Age 30-34 per 1000 59.03
Ranked 177th.
88.14
Ranked 16th. 49% more than Germany
Male population > Age 30-34 per 1000 30.35
Ranked 178th.
43.92
Ranked 27th. 45% more than Germany
Total population > Age 50-54 5.67 million
Ranked 8th. 1999 times more than Seychelles
2,837
Ranked 205th.
Female population > Age 20-24 per 1000 27.95
Ranked 192nd.
46.32
Ranked 86th. 66% more than Germany
Total population > Age 70-74 per 1000 46.67
Ranked 7th. 3 times more than Seychelles
16.42
Ranked 86th.
Total population > Age 60-64 per 1000 54.9
Ranked 12th. 3 times more than Seychelles
19
Ranked 143th.
Female population > Age 10-14 per 1000 24.38
Ranked 193th.
45.09
Ranked 110th. 85% more than Germany
Female population > Age 25-29 per 1000 27.92
Ranked 190th.
45.36
Ranked 33th. 62% more than Germany
Female population > Age 40-44 per 1000 42.82
Ranked 17th. 5% more than Seychelles
40.64
Ranked 29th.
Male population > Age 40-44 per 1000 45.57
Ranked 14th. 22% more than Seychelles
37.2
Ranked 49th.
Total population > Age 40-44 per 1000 88.39
Ranked 14th. 14% more than Seychelles
77.84
Ranked 38th.
Total population > Age 45-49 per 1000 78.43
Ranked 22nd. 33% more than Seychelles
59.11
Ranked 85th.
Total population > Age 65-69 per 1000 65.31
Ranked 1st. 4 times more than Seychelles
17.24
Ranked 117th.
Urban population growth > Annual % -0.03%
Ranked 181st.
1.73%
Ranked 108th.

Total population > Age 50-54 per 1000 68.77
Ranked 28th. Twice as much as Seychelles
34.22
Ranked 135th.
Primary completion rate, female > % of relevant age group 100.24%
Ranked 35th.
107.68%
Ranked 8th. 7% more than Germany

Primary completion rate, male > % of relevant age group 100.5%
Ranked 33th.
101.56%
Ranked 29th. 1% more than Germany

Migration > Net migration rate 2.19 migrant(s)/1,000 populati
Ranked 43th.
-5.11 migrant(s)/1,000 populati
Ranked 155th.

Number of infant deaths 2,000
Ranked 94th.
0.0
Ranked 135th.

Number of under-five deaths 3,000
Ranked 89th.
0.0
Ranked 141st.

Number of neonatal deaths 2,000
Ranked 84th.
0.0
Ranked 126th.

Fertility > Mortality rate, under-5 > Per 1,000 live births 4.1
Ranked 170th.
13.1
Ranked 123th. 3 times more than Germany

Fertility > Mortality rate, under-5, female > Per 1,000 live births 3.7
Ranked 169th.
12
Ranked 122nd. 3 times more than Germany

Fertility > Mortality rate, under-5, male > Per 1,000 live births 4.5
Ranked 169th.
14.1
Ranked 124th. 3 times more than Germany

Fertility > Mortality rate, neonatal > Per 1,000 live births 2.4
Ranked 169th.
8.3
Ranked 116th. 3 times more than Germany

Improved water source, rural > % of rural population with access 100%
Ranked 1st. 4% more than Seychelles
96.3%
Ranked 70th.

Improved water source, urban > % of urban population with access 100%
Ranked 4th. 4% more than Seychelles
96.3%
Ranked 120th.

Improved water source > % of population with access 100%
Ranked 2nd. 4% more than Seychelles
96.3%
Ranked 84th.

Improved sanitation facilities > % of population with access 100%
Ranked 3rd. 3% more than Seychelles
97.1%
Ranked 58th.

Improved sanitation facilities, rural > % of rural population with access 100%
Ranked 2nd. 3% more than Seychelles
97.1%
Ranked 54th.

Improved sanitation facilities, urban > % of urban population with access 100%
Ranked 3rd. 3% more than Seychelles
97.1%
Ranked 64th.

Malnutrition prevalence, weight for age > % of children under 5 1.1%
Ranked 36th.
5%
Ranked 11th. 5 times more than Germany
Fertility > Maternal mortality ratio > National estimate, per 100,000 live births 7.5
Ranked 12th.
57.4
Ranked 13th. 8 times more than Germany
Prevalence of overweight > % of children under 5 3.5%
Ranked 28th.
5.8%
Ranked 3rd. 66% more than Germany
Malnutrition prevalence, height for age > % of children under 5 1.3%
Ranked 35th.
7.7%
Ranked 11th. 6 times more than Germany
Prevalence of wasting > % of children under 5 1%
Ranked 34th.
2.7%
Ranked 8th. 3 times more than Germany
Emigration rate of tertiary educated > % of total tertiary educated population 5.78%
Ranked 143th.
77.25%
Ranked 10th. 13 times more than Germany

Refugee population by country or territory of origin 174
Ranked 132nd. 4 times more than Seychelles
42
Ranked 154th.

International migrant stock, total 10.76 million
Ranked 4th. 993 times more than Seychelles
10,838
Ranked 187th.

International migrant stock > % of population 13.16%
Ranked 49th. 9% more than Seychelles
12.07%
Ranked 52nd.

Prevalence of undernourishment > % of population 5%
Ranked 97th.
8.6%
Ranked 73th. 72% more than Germany

Mortality rate, adult, female > Per 1,000 female adults 53.67
Ranked 167th.
107.51
Ranked 102nd. Twice as much as Germany

Mortality rate, adult, male > Per 1,000 male adults 101.46
Ranked 159th.
227.12
Ranked 75th. 2 times more than Germany

Fertility > Birth rate, crude > Per 1,000 people 8.1
Ranked 199th.
16.8
Ranked 116th. 2 times more than Germany

Death rate, crude > Per 1,000 people 10.4
Ranked 41st. 41% more than Seychelles
7.4
Ranked 105th.

Fertility > Mortality rate, infant > Per 1,000 live births 3.4
Ranked 168th.
11.2
Ranked 124th. 3 times more than Germany

Fertility > Fertility rate, total > Births per woman 1.36
Ranked 185th.
2.1
Ranked 113th. 54% more than Germany

Survival to age 65, female > % of cohort 91.64%
Ranked 22nd. 7% more than Seychelles
85.37%
Ranked 79th.

Survival to age 65, male > % of cohort 84.93%
Ranked 28th. 32% more than Seychelles
64.51%
Ranked 122nd.

Age dependency ratio > % of working-age population 52.13%
Ranked 101st. 23% more than Seychelles
42.48%
Ranked 165th.

Age dependency ratio, old > % of working-age population 32.1%
Ranked 2nd. 3 times more than Seychelles
10.93%
Ranked 75th.

Age dependency ratio, young > % of working-age population 20.03%
Ranked 189th.
31.56%
Ranked 125th. 58% more than Germany

Population, total 81.89 million
Ranked 16th. 933 times more than Seychelles
87,784.91
Ranked 194th.

Population, female > % of total 50.95%
Ranked 48th. 4% more than Seychelles
48.98%
Ranked 176th.

Rural population > % of total population 25.93%
Ranked 152nd.
45.99%
Ranked 97th. 77% more than Germany

Urban population > % of total 74.07%
Ranked 58th. 37% more than Seychelles
54.01%
Ranked 113th.

Urban population per 1000 752
Ranked 43th. 39% more than Seychelles
539.17
Ranked 99th.

Rural population per 1000 248
Ranked 145th.
480.06
Ranked 87th. 94% more than Germany

Population > CIA Factbook per capita 1
Ranked 89th. 6% more than Seychelles
0.946
Ranked 162nd.

Age structure > 0-14 years > Females per 1000 67.28
Ranked 189th.
116.24
Ranked 126th. 73% more than Germany

Age structure > 65 years and over > Females per 1000 117.19
Ranked 3rd. 3 times more than Seychelles
39.41
Ranked 78th.

Age structure > 15-64 years > Males per 1000 338.13
Ranked 60th. 6% more than Seychelles
319.15
Ranked 107th.

Age structure > 15-64 years > Females per 1000 325.66
Ranked 89th.
334.05
Ranked 66th. 3% more than Germany

Age structure > 65 years and over > Males per 1000 83.95
Ranked 3rd. 5 times more than Seychelles
18.11
Ranked 134th.

Age structure > 0-14 years > Males per 1000 70.95
Ranked 189th.
118.88
Ranked 129th. 68% more than Germany

Health expenditures 11.1% of GDP
Ranked 14th. 3 times more than Seychelles
3.8% of GDP
Ranked 153th.

Percentage living in urban areas 88%
Ranked 29th. 76% more than Seychelles
50%
Ranked 120th.
Percentage living in rural areas. 12%
Ranked 169th.
50%
Ranked 77th. 4 times more than Germany
Female population > Age 20-24 2.3 million
Ranked 22nd. 600 times more than Seychelles
3,840
Ranked 195th.
Female population > Age 10-14 2.01 million
Ranked 26th. 538 times more than Seychelles
3,738
Ranked 195th.
Total population > Age 40-44 > % of the total 8.84
Ranked 15th. 12% more than Seychelles
7.91
Ranked 41st.
Female population > Age 15-19 2.35 million
Ranked 21st. 630 times more than Seychelles
3,725
Ranked 195th.
Female population > Age 60-64 > % of the total 2.8
Ranked 16th. 2 times more than Seychelles
1.18
Ranked 117th.
Male population > Age 70-74 1.75 million
Ranked 5th. 3591 times more than Seychelles
487
Ranked 204th.
Droughts, floods, extreme temperatures > % of population, average 1990-2009 0.0328%
Ranked 118th.
0.078%
Ranked 110th. 2 times more than Germany
Total population > Age 20-24 per 1000 57.43
Ranked 189th.
91.46
Ranked 90th. 59% more than Germany
Total population > Age 55-59 per 1000 60.64
Ranked 37th. 2 times more than Seychelles
24.66
Ranked 146th.
Male population > Age 20-24 per 1000 29.49
Ranked 188th.
45.14
Ranked 104th. 53% more than Germany
Male population > Age 15-19 per 1000 29.99
Ranked 189th.
45.86
Ranked 118th. 53% more than Germany
Male population > Age 35-39 per 1000 41.49
Ranked 33th.
46.02
Ranked 16th. 11% more than Germany
Total population > Age 35-39 per 1000 80.61
Ranked 35th.
93.76
Ranked 8th. 16% more than Germany
Total population > Age 75-79 per 1000 36.63
Ranked 8th. 3 times more than Seychelles
12.71
Ranked 82nd.
Number of infant deaths per 1000 0.0244
Ranked 127th.
0.0
Ranked 135th.

Number of neonatal deaths per million 24.42
Ranked 113th.
0.0
Ranked 126th.

Net migration per million 6,716.32
Ranked 55th.
-17,668.185
Ranked 171st.

Refugee population by country or territory of origin per 1000 0.00213
Ranked 180th.
0.48
Ranked 66th. 226 times more than Germany

International migrant stock, total per 1000 131.55
Ranked 49th. 9% more than Seychelles
120.73
Ranked 52nd.

Population, total per 1000 1,000
Ranked 16th. The same as Seychelles
1,000
Ranked 31st.

Obesity > Adult prevalence rate 25.1%
Ranked 57th. 5% more than Seychelles
23.9%
Ranked 68th.

Population growth > Annual % -0.06%
Ranked 174th.
1.01%
Ranked 114th.

School life expectancy > Primary to tertiary > Female 16 years
Ranked 1st. 7% more than Seychelles
15 years
Ranked 30th.
Note Berlin's Brandenburg Gate was at one time at the dividing line between East and West Berlin The Coco de Mer coconut - found only in the Seychelles - is the world's largest seed
Number of under-five deaths per 1000 0.0366
Ranked 133th.
0.0
Ranked 141st.

Net migration 549,998
Ranked 12th.
-1,551
Ranked 85th.

Fertility > Adolescent fertility rate > Births per 1,000 women ages 15-19 4.99
Ranked 184th.
56.99
Ranked 68th. 11 times more than Germany

SOURCES: CIA World Factbooks 18 December 2003 to 28 March 2011; CIA World Factbooks 18 December 2003 to 28 March 2011; CIA World Factbooks 2010, 2011, 2012, 2013; World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, World Population Prospects: The 2004 Revision and World Urbanization Prospects: http://esa.un.org/unpp; CIA World Factbook 2010, 2011, 2012, 2013; CIA World Factbook, 28 July 2005; UN (United Nations). 2002. World Urbanization Prospects: The 2001 Revision. Department of Economic and Social Affairs, Population Division. New York; World Development Indicators database; U.S. Census Bureau, Population Division, International Programs Center Spanish Statistical Institute; Population Division of the United Nations Secretariat, World Urbanization Prospects: The 2001 Revision, Data Tables and Highlights (ESA/P/WP.173, 20 March 2002); All CIA World Factbooks 18 December 2003 to 18 December 2008; Food and Agriculture Organisation and World Bank population estimates.; (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.; U.S. Census Bureau, Population Division, International Programs Center; U.S. Census Bureau, Population Division, International Programs Center. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations, World Urbanization Prospects.; U.S. Census Bureau, Population Division, International Programs Center Spanish Statistical Institute. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; World Bank national accounts data; World Bank national accounts data; UNESCO Institute for Statistics; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries. Adjusted, comparable data are available at http://www.who.int/nutgrowthdb/en. Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by ICF International.; Frxe9dxe9ric Docquier, B. Lindsay Lowell, and Abdeslam Marfouk's , "A Gendered Assessment of Highly Skilled Emigration" (2009).; United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/statistics/populationdatabase.; United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.; Food and Agriculture Organization; (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].; (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Repot (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database; United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm.; World Bank staff estimates; (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; The United Nations Population Division's World Population Prospects.; World Bank Staff estimates based on United Nations, World Urbanization Prospects.; World Development Indicators database. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; All CIA World Factbooks 18 December 2003 to 18 December 2008. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Population Division of the United Nations Secretariat, World Urbanization Prospects: The 2003 Revision, Data Tables and Highlights. Estimates and projections of urban and rural populations are made by the Population Division of the United Nations Secretariat and published every two years. These estimates and projections are based on national census or survey data that have been evaluated and, whenever necessary, adjusted for deficiencies and inconsistencies; EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Universitxe9 Catholique de Louvain, Brussels (Belgium), World Bank.; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations Population Division, World Population Prospects. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/statistics/populationdatabase. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; British Broadcasting Corporation 2014; United Nations Population Division, World Population Prospects.

Citation

"People: Germany and Seychelles compared", NationMaster. Retrieved from http://www.nationmaster.com/country-info/compare/Germany/Seychelles/People