https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Population pyramids by gender for CoVid-19 affected countries.
Source: populationpyramid.net
This is a subset of Population projections
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇬🇧 United Kingdom English This workbook allows users to pull out data from 2011 Census Commissioned Table CT0561 (age by sex by country of birth) and visualises the data in a population pyramid. This data was part of a release of 2011 Census tables that allow users to see the characteristics of small migrant populations. See this dataset for more characteristics.
This workbook allows users to pull out data from 2011 Census Commissioned Table CT0561 (age by sex by country of birth) and visualises the data in a population pyramid.
This data was part of a release of 2011 Census tables that allow users to see the characteristics of small migrant populations. See this dataset for more characteristics.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Country Life Acres, MO population pyramid, which represents the Country Life Acres population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Country Life Acres Population by Age. You can refer the same here
As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.
This is a subset of Population projections
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Country Club Heights, IN population pyramid, which represents the Country Club Heights population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Country Club Heights Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Country Club Hills, IL population pyramid, which represents the Country Club Hills population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Country Club Hills Population by Age. You can refer the same here
This is a dataset containing both historical and prediction data about the pyramid of population by age (slices of 5 years) and by country/region of the world.
This is just an upload of the dataset published by Department of Economic and Social Affairs of the United Nations : - see here of other similar informations : https://population.un.org/wpp/Download/Standard/CSV/ - the exact source file can be found here : https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_PopulationByAgeSex_Medium.csv
This might be useful to understand countries at risk against Covid19.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Country Club, MO population pyramid, which represents the Country Club population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Country Club Population by Age. You can refer the same here
In 2020, the share of children in Vietnam amounted to approximately 23.2 percent of the population. This figure is comparable to the share of children in Malaysia and Sri Lanka. The age dependency ratio in Vietnam was 43 percent.
Age structure in Vietnam
As of 2018, about 69.55 percent of the population was between 15 and 64 years old, followed by 7.27 percent of people aged 65 years and older. In 2019, there were about 68.08 million adults. According to the Central Population and Housing Census, every two persons in the working age group is dependent. This shows an increase of 13.3 percentage points since 2009, more than double the percentage of 1999.
Demographical change in Vietnam
Vietnam has a history of high fertility. Therefore, the age and gender distribution followed the usual pattern where the widest bars can be found at the bottom of the pyramid. However, the country’s number of births decreased in the last few decades, which is why the youngest bars are smaller than the ones above in the demographic pyramid, indicating a slower future population growth. As of 2018, the population density in Vietnam was at 308.13 people per square meter.
As of January 2024, the population aged over 65 years in Spain amounted to **** million people, thus continuing the upward trend witnessed in previous years. Between 2002 and 2024, the elderly population increased by almost ***** million. According to recent data, people aged over 65 years represent nearly a fifth of the Spanish population. Ageism, a growing concern As it is happening in most advanced economies, the Spanish population is getting older. The Mediterranean country featured a median age of **** years in 2020, and it is forecast to reach 51.8 years in 2050. Life expectancy and the fertility rate are experiencing opposite trends, and while the former keeps improving, the latter continue to decrease. As a result, the Spanish population pyramid is turning into the contracting type, which has worrying social and economic consequences. Poverty among seniors The average amount of a retirement pension in the country is just over ***** euros a month, though this figure depends on the scheme and place of residence. There were almost *** million persons receiving a monthly retirement pension which amounted to *** euros or less in 2023. This scarce allowance can be insufficient to provide a good quality of life. Most recent data shows that over ** percent of those aged 65 or older were at risk of poverty, an extremely high rate even though this was one of the age groups that featured the lowest risk of poverty. On average, ** percent of the spending among this age group is channeled towards housing, water, electricity and fuels, which leaves little room for spending on other items (food, dress, services, etc.) for those millions of people whose retirement pension is not even close to the national minimum wage. For more data on this topic, check Statista's report on Seniors in Spain.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Hill Country Village, TX population pyramid, which represents the Hill Country Village population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Hill Country Village Population by Age. You can refer the same here
The demographic ageing process in most industrialized countries will reverse the demographic pyramid within the next decades. While the fraction of young people in education will decrease, the fraction of people over the retirement age will almost double within the next forty years. Research in some countries has analyzed the effects these demographic changes will have on educational spending. For Switzerland there is evidence, that per-pupil spending declined significantly in response to the rise of the share of retired people. The existing body of empirical research has so far - with a few exceptions - analyzed the relationship between demographic change and educational spending with cross-sectional or panel analyses of educational spending. Although most results show a negative correlation between the share of elderly in the population and educational spending per pupil, these papers - due to the level of aggregation of the data and the limited number of observable characteristics - do not allow establishing a direct proof that the elderly are less inclined to spend money on education. Therefore, not surprisingly these findings have been challenged by a number of empirical and theoretical papers This study reassesses the question of an intergenerational conflict over educational spending by directly looking at the expressed differences in the preferences for public spending of Swiss voters. The data-set has been expressively made for the purpose of this analysis and simulates public votes on educational and public finance issues. The professional survey institute "Gesellschaft für praktische Sozialforschung" (GfS) was comissioned to collect data from a representative sample of Swiss citizens. The sample contains the data of 2025 Swiss citizens over the age of 25. The data was collected in May 2007 using Computed Assisted Telephone Interviewing (CATI). The interviews were held in German, French or Italian depending on the language region. Apart from individual socio-economic and family characteristics, respondents were asked to express their opinion on a series of question concerning education and education financing.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Town And Country, MO population pyramid, which represents the Town And Country population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Town And Country Population by Age. You can refer the same here
This is a subset of Population projections
Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Brazos Country, TX population pyramid, which represents the Brazos Country population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Brazos Country Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Hill Country Village population by age. The dataset can be utilized to understand the age distribution and demographics of Hill Country Village.
The dataset constitues the following three datasets
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Country Life Acres population by age. The dataset can be utilized to understand the age distribution and demographics of Country Life Acres.
The dataset constitues the following three datasets
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Population pyramids by gender for CoVid-19 affected countries.
Source: populationpyramid.net