Ce graphique montre le nombre d'habitants en France au 1er janvier 2025, selon la tranche d'âge et le sexe. Au 1er janvier 2025, on dénombrait en France 236.000 personnes ayant plus de 95 ans, dont 187.000 femmes et 49.000 hommes. Le nombre de personnes ayant entre 0 et 4 ans était inférieur au nombre de personnes ayant entre 5 et 9 ans, conséquence de la diminution du nombre de naissances en France depuis le début des années 2010, engendrant une population vieillissante.
As of December 31, 2022, two-thirds of French retirees covered by the general pension plan were between 63 and 78 years old, and only about *********** of them were age ***or younger. Women were also more prevalent among centenarian retirees than men. In fact, in 2022, there were ****women retirees over age ****in France, compared to ****men of the same age.In 2023, the average age of retirement was *****years old.
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 French Lick, IN population pyramid, which represents the French Lick 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 French Lick Population by Age. You can refer the same here
Ce graphique illustre la répartition de la population française par groupe d'âges au 1ᵉʳ janvier 2025. À cette date, les personnes âgées de moins de 15 ans représentaient environ 17 % de la population française totale, tandis que plus de 10 % de la population en France était composée de personnes de 75 ans et plus.
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 French Settlement, LA population pyramid, which represents the French Settlement 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 French Settlement Population by Age. You can refer the same here
As of December 31, 2022, two-thirds of French retirees covered by the general pension plan were between 63 and 78 years old, and only about *********** of them were age ***or younger. Women were also more prevalent among centenarian retirees than men. In fact, in 2022, there were ****women retirees over age ****in France, compared to ****men of the same age.In 2023, the average age of retirement was *****years old.
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 French Camp, MS population pyramid, which represents the French Camp 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 French Camp 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 French Camp, MS population pyramid, which represents the French Camp population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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) 2017-2021 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 French Camp Population by Age. You can refer the same here
Cette statistique indique le taux d'emploi des personnes âgées de ** à ** ans en France entre 2000 et 2024, par tranche d'âge. Depuis 2010, le taux d'emploi des 50-** ans a augmenté, atteignant plus de ** % en 2024. Les 15-24 ans restent la tranche d'âge avec le taux d'emploi le plus faible en France, qui s'explique notamment par une augmentation des effectifs en enseignement supérieur. En 2024, le taux d'emploi en France dépassait les ** %.
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 French Creek, New York population pyramid, which represents the French Creek town 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 French Creek town Population by Age. You can refer the same here
Ce graphique dévoile la distribution des personnes décédées du coronavirus (COVID-19) en France entre le 13 mars 2020 et le 21 avril 2022, selon la tranche d'âge. Parmi les décédés du COVID depuis le début de la pandémie, plus de 90% avaient plus de 60 ans. a tranche d'âge la plus touché a été celle des 80-89 ans.
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 French Lake Township, Minnesota population pyramid, which represents the French Lake township 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 French Lake township Population by Age. You can refer the same here
Cette statistique présente la répartition de la population bancaire en France en 2018, selon la tranche d'âge. On remarque ainsi que cette année-là, plus de 30 % de la population bancaire française était âgée de 30 à 39 ans. Les 40 - 49 ans représentaient quant à eux près de 27 %.
Ce sondage montre la part de votants d'extrême droite aux élections législatives françaises de 2022 selon la tranche d'âge. La tranche d'âge ayant le plus voté pour les partis Reconquête! d'Eric Zemmour et Rassemblement National (RN) de Marine Le Pen étaient les ** à ** ans, puisque ** % d'entre eux au total ont voté pour l'un de ces partis. La tranche d'âge votant le moins extrême droite étaient les plus âgés (** ans et plus). Les électeurs de Reconquête! étaient plutôt des jeunes de ** à ** ans et des ** à ** ans alors que les électeurs du RN étaient davantage des personnes ayant entre ** et ** ans.
Cette statistique présente la répartition par âge des employés du groupe Euro Disney en France entre 2013 et 2016. En 2016, l'effectif était constitué à environ ** % de personnes âgées entre ** et ** ans.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the French Lick population by age. The dataset can be utilized to understand the age distribution and demographics of French Lick.
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/.
Ce graphique indique le montant moyen de revenu salarial annuel en France en 2020, par tranche d'âge, en euros courants. Il en ressort que les salariés âgés de ** à ** ans disposaient d'un revenu annuel moyen de ****** euros.
Cette statistique présente les taux de détention du patrimoine immobilier des ménages en France en 2024, selon l'âge de la personne de référence. En 2024, près de 74 % des ménages hexagonaux dont la personne de référence avait 70 ans ou plus détenaient un patrimoine immobilier.
Ce graphique montre la part des Français fumant quotidiennement du tabac en France entre 2010 et 2019, selon la tranche d'âge. En 2019, la tranche d'âge fumant le plus étaient les 18 à 24 ans. Un jeune de 18 à 24 ans sur trois fumait quotidiennement en 2019. Cependant, la consommation de cette tranche d'âge, comme de tous ceux ayant moins de 55 ans, a diminué entre 2010 et 2019. En revanche, les plus de 55 ans fumaient plus en 2019 qu'en 2010.
Ce graphique montre la population estimée aux États-Unis par sexe et par âge au 1er juillet 2023. Cette année-là, les groupes d'âge les plus représentés étaient les 30 à 34 ans.
Ce graphique montre le nombre d'habitants en France au 1er janvier 2025, selon la tranche d'âge et le sexe. Au 1er janvier 2025, on dénombrait en France 236.000 personnes ayant plus de 95 ans, dont 187.000 femmes et 49.000 hommes. Le nombre de personnes ayant entre 0 et 4 ans était inférieur au nombre de personnes ayant entre 5 et 9 ans, conséquence de la diminution du nombre de naissances en France depuis le début des années 2010, engendrant une population vieillissante.