About this dataset

Context

The dataset tabulates the population of French Settlement by race. It includes the population of French Settlement across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of French Settlement across relevant racial categories.

Key observations

The percent distribution of French Settlement population by race (across all racial categories recognized by the U.S. Census Bureau): 90.90% are white, 1.27% are Black or African American and 7.83% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the French Settlement
• Population: The population of the racial category (excluding ethnicity) in the French Settlement is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of French Settlement total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for French Settlement Population by Race & Ethnicity. You can refer the same here

This statistic shows the share of the population in France in 2022, by nationality status. It appears that French-born citizens accounted for almost 88 percent of the French population, while 7.8 percent of the people living in France in 2022 were foreigners.

This dataset tracks annual black student percentage from 1991 to 2023 for La France Elementary School vs. South Carolina and Anderson 04 School District

About this dataset

Context

The dataset presents the median household income across different racial categories in French Lick. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of French Lick population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 80.91% of the total residents in French Lick. Notably, the median household income for White households is $49,722. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $124,643. This reveals that, while Whites may be the most numerous in French Lick, Black or African American households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/french-lick-in-median-household-income-by-race.jpeg" alt="French Lick median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in French Lick.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for French Lick median household income by race. You can refer the same here

According to a three-year survey, the share of young French respondents without access to a banking account declined by 29 percentage points between 2017 and 2021. The decline in this particular group of respondents stood out compared to other demographics, and is likely the main cause of why the "unbanked" population - or those who or those who did not access to the services of a bank or another, similar financial organization - declined from six percent in 2017 to 0.8 percent in 2021. The report adds that men in France were more likely than women to be financially excluded from services like ATM machines, credit cards, or financial products like insurance or mortgages. The declining figures for unbanked population are reflected in the decreasing market share of cash in French physical stores.

France FR: Birth Rate: Crude: per 1000 People data was reported at 11.700 Ratio in 2016. This records a decrease from the previous number of 12.000 Ratio for 2015. France FR: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 13.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 18.700 Ratio in 1961 and a record low of 11.700 Ratio in 2016. France FR: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Population and Urbanization Statistics. 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.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

France: Demographic pressures, 0 (low) - 10 (high): The latest value from 2024 is 2.8 index points, a decline from 3.1 index points in 2023. In comparison, the world average is 5.80 index points, based on data from 176 countries. Historically, the average for France from 2007 to 2024 is 3.12 index points. The minimum value, 1.9 index points, was reached in 2020 while the maximum of 4.1 index points was recorded in 2007.

This dataset tracks annual black student percentage from 2013 to 2023 for New York French-american Charter School vs. New York and New York French-American Charter School District

This dataset tracks annual black student percentage from 1993 to 2023 for French Road Elementary School vs. New York and Brighton Central School District

This dataset tracks annual black student percentage from 2022 to 2023 for French American School Of Denver vs. Colorado and School District No. 1 In The County Of Denver And State Of C

This dataset tracks annual black student percentage from 2000 to 2021 for French Ford Middle School vs. Nevada and Humboldt School District

Urban population growth has been constant for several decades in France. Between 1960 and 2022, it rose from 61.88 percent to 81.51 percent. The phenomenon of urbanization was more significant in the 1960s. Indeed, over this period, the rate of the French population living in cities increased by ten points. The evolution was more weighted over the next 50 years, rising from 71.06 percent in 1970 to 80.98 percent in 2020.An increase in urbanization was accompanied over the same period by a sharp rise in the overall French population, from 55.57 million inhabitants in 1982 to around 68 million in 2024. Paris, an urban giant in France Like in the United Kingdom, the French-style centralized system has led to a high concentration of population around economic, financial, cultural and political centers, all located in the British and French capitals. London and Paris (and its conurbation) are among the largest urban centers on the continent, with Moscow being the most populous. This centralization of power has led to a very heterogenous distribution of population density. The Paris region has a density of more than 1000 inhabitants per km², which is ten times higher than the Haut-de-France region, the second densest region in Metropolitan France.This centralization of power attracts a strong French and foreign workforce. The French capital is by far the most populated city in France. If solely the municipality of Paris is taken into account, it had more than two million inhabitants in 2019, which is more than twice as many as in Marseille and four times as many as in Lyon, the country's second and third most populous cities. Future challenges for French cities Access to employment is no longer the only reason to settle in a town. Other factors come into play in the life choices of city dwellers. In 2019, more than 90% of the French estimated that the presence of green areas was important to settle or not in a district. The pollution level of the city was also considered in the choice of the city. In order to address these pollution problems, municipalities must resolve transportation issues on their own territory. Previously the king of the town, the car is increasingly losing ground to public transport in urban areas. Cities like Paris are relying more on public transport. Between 2011 and 2016, RATP and SNCF have built more than 60 kilometers of tramway tracks . Moreover, the construction of additional train and metro lines in the Grand Paris project aimed at better connecting the suburbs to each other without passing through intramural Paris.Making it easier to travel by bicycle is one of the options chosen by many conurbations to relieve congestion in their cities. Since the early 2000s, self-service bicycles have been a great success in France with more than 2,400 bicycles available in Toulouse or 4,000 in Lyon in 2017. A source of much tension between motorists, municipalities and cyclists, the sharing of the road between 4 and 2 wheelers has, however, been widely developed. In Strasbourg, for example, the municipality had around 1.04 metres of cycle lanes per inhabitant in 2017, the highest rate in France. However, the layout of cycle paths can be perilous and a majority of cyclists in France still feel unsafe on the road.

Prepared by ICPSR under a project to automate major portions of the Statistique Generale de la France, this is a collection of demographic, social, education, economic, population, and vital statistics data for France, 1833-1925. This conversion project is a continuation of one conducted in 1972, for which a similar data collection was created, SOCIAL, DEMOGRAPHIC, AND EDUCATIONAL DATA FOR FRANCE, 1801-1897 (ICPSR 0048). The project to collect and prepare these data was sponsored by two French and two American groups: ICPSR and the Center for Western European Studies at the University of Michigan, and the Fourth and Sixth Sections of the Ecole Pratique des Hautes Etudes and Conseil National de la Recherches Scientifique in France. Both collections include data recorded at the departement, arrondissement, chef-lieu, and ville level. In this collection, materials from the vital statistics series were prepared for selected years rather than for each year in the period from 1900-1925. The years that were chosen clustered around the quinquennial censuses and also included (because of the violent demographic dislocations produced by World War I) each year in the 1914-1919 period. In addition, some vital statistics for the nineteenth century (1836-1850, 1880, and 1892) obtained from fugitive published volumes that could not be located during the course of the 1972 project were prepared. The 136 datasets in this collection contain: (1) French population, economic, and social data obtained from the quenquennial censuses of 1901, 1906, 1911, and 1921, that detail the composition of the population by categories of age, sex, nativity, marital status, religion, place of residence, and occupation, (2) industrial census data for the years 1861-1896, (3) data on primary education in France for 1833, 1901, and 1906, as well as data on secondary and higher education in France for the years 1836-1850, 1880, and 1892, and (4) data from a separate series of annual vital statistics (Mouvement de la Population) that cover the years 1836-1850, 1892, and 1900-1925, citing births, deaths, and marriages in the nation.

This dataset tracks annual black student percentage from 1990 to 2020 for French Elementary School vs. Mississippi and Jackson Public School District

About this dataset

Context

The dataset tabulates the population of French Camp by race. It includes the population of French Camp across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of French Camp across relevant racial categories.

Key observations

The percent distribution of French Camp population by race (across all racial categories recognized by the U.S. Census Bureau): 82.59% are white, 14.17% are Black or African American and 3.24% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the French Camp
• Population: The population of the racial category (excluding ethnicity) in the French Camp is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of French Camp total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for French Camp Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of French township by race. It includes the population of French township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of French township across relevant racial categories.

Key observations

The percent distribution of French township population by race (across all racial categories recognized by the U.S. Census Bureau): 96.58% are white, 0.16% are Black or African American, 0.16% are Asian and 3.09% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the French township
• Population: The population of the racial category (excluding ethnicity) in the French township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of French township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for French township Population by Race & Ethnicity. You can refer the same here

According to a 2021 survey, more than half of consumers in France considered that Black Friday is a source of waste and has negative consequences on the environment. Although in the previous two years, the percentage of French respondents who thought that the event should disappear was no lower than 40 percent, in 2021, it was at 34 percent.

About this dataset

Context

The dataset tabulates the population of French Lick by race. It includes the population of French Lick across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of French Lick across relevant racial categories.

Key observations

The percent distribution of French Lick population by race (across all racial categories recognized by the U.S. Census Bureau): 74.92% are white, 13.85% are Black or African American, 0.39% are American Indian and Alaska Native, 1.17% are Asian and 9.66% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the French Lick
• Population: The population of the racial category (excluding ethnicity) in the French Lick is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of French Lick total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for French Lick Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual black student percentage from 1991 to 2023 for French Elementary School vs. Colorado and School District No. 3 In The County Of El Paso And State Of

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in France: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).