This statistic shows the ten largest cities in France as of 2022. In 2022, around 2.11 million people lived in Paris, making it the largest city in France.

Actual value and historical data chart for France Population In The Largest City Percent Of Urban Population

This statistic shows the gross rental profitability of the 30 largest cities in France in 2019. At that time, Boulogne-Billancourt and Bordeaux were the French cities where the gross rental profitability was the lowest. In contrast, Limoges and Le Mans were the French cities with the highest gross rental profitability.

As of mid-2023, Paris recorded a public electric vehicle charging infrastructure index score of ** percent, indicative of how high the city's ratio of public chargers per 1,000 inhabitants was. The capital was the only French city to record an index score above ** percent. Strasbourg, which was second in the ranking, had a score of ** percent.

France FR: Population in Largest City data was reported at 10,844,847.000 Person in 2017. This records an increase from the previous number of 10,789,031.000 Person for 2016. France FR: Population in Largest City data is updated yearly, averaging 9,226,364.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10,844,847.000 Person in 2017 and a record low of 7,410,735.000 Person in 1960. France FR: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

About this dataset

Context

This list ranks the 1 cities in the Major County, OK by French population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by French Population: This column displays the rank of city in the Major County, OK by their French population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• French Population: The French population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as French. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Major County French Population: This tells us how much of the entire Major County, OK French population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

France FR: Population in Largest City: as % of Urban Population data was reported at 20.512 % in 2017. This records an increase from the previous number of 20.490 % for 2016. France FR: Population in Largest City: as % of Urban Population data is updated yearly, averaging 21.394 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 25.582 % in 1960 and a record low of 20.472 % in 2014. France FR: Population in Largest City: as % of Urban Population 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: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

This statistic shows the number of maternity hospitals in the ten largest cities in France in 2019. That year, there were ** maternity hospitals in Paris, compared to * in Marseille, the second largest city in France. The other top ten big cities in France have generally 2-3 maternity hospitals.

The purported spatial segregation of Muslim populations in Western Europe constitutes a longstanding policy and scholarly concern, yet little spatial data exists for purposes of empirical study. The MAPISLAM dataset is a research effort aimed at bridging this gap for the French empirical context. MAPISLAM is a spatial dataset built from publicly available, online repositories of addresses for places of interest destined to the Muslim communities of France’s major cities.

Comprehensive dataset containing 358 verified City department of transportation businesses in France with complete contact information, ratings, reviews, and location data.

About this dataset

Context

This list ranks the 2 cities in the Big Stone County, MN by French population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by French Population: This column displays the rank of city in the Big Stone County, MN by their French population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• French Population: The French population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as French. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Stone County French Population: This tells us how much of the entire Big Stone County, MN French population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Strasbourg was the most bike-friendly city in France according to its residents. The Alsatian capital was rated **** out of 6. According to the organizers of the survey, the threshold for a positive response was set at *** out of 6. Only two cities of ******* inhabitants thus obtained a positive score, Strasbourg and Nantes. Marseille was, in 2019, the least favorable city for bicycle use in a large French city.

About this dataset

Context

This list ranks the 5 cities in the Big Horn County, WY by French population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by French Population: This column displays the rank of city in the Big Horn County, WY by their French population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• French Population: The French population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as French. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Horn County French Population: This tells us how much of the entire Big Horn County, WY French population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

This data set is composed by 5 geojson files, that can be used to generate maps of mainland France :

motifs_all.geojson : pattern about transport extracted from contributions of the French Great National Debate (Grand Débat National). Original dataset : https://granddebat.fr/pages/donnees-ouvertes

bikeway_fr.geojson and railroad_fr.geojson : cycleways and railways of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

trainstations.geojson : train stations and halts of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

au2010_carto.geojson : categorized urban areas of mainland France. Original dataset : https://www.insee.fr/fr/information/2115011

communesimportantes.geojson : the main cities of mainland France

The data set is in French.

Ce jeu de données est composé de 5 fichiers geojson qui peuvent être utilisés pour générer des cartes en France métropolitaine :

motifs_all.geojson : motifs à propos du transport extraient des contributions en ligne au Grand Débat National. Jeu de données d'origine : https://granddebat.fr/pages/donnees-ouvertes

bikeway_fr.geojson and railroad_fr.geojson : pistes cyclables et voies ferrées en France métropolitaine, venant d'Open Street Map. Jeu de données d'origine : https://download.geofabrik.de/europe/france.html

trainstations.geojson : gares et petites gares en France métropolitaine, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

au2010_carto.geojson : aires urbaines catégorisées en France métropolitaine, définies par l'INSEE. Jeu de données d'origine : https://www.insee.fr/fr/information/2115011

communesimportantes.geojson : principales villes de France métropolitaine

Grenoble was the most bike-friendly big-sized city (between 100,000 and 200,000 inhabitatns) in France according to its residents. This city that lies at the foot of the French Alps was rated 4.12 out of 6 possible points. According to the organizers of the survey, the threshold for a positive response was set at 3.5 out of 6. Grenoble was, thus, the only city having 100,000 to 200,000 inhabitants that obtained a positive score. Angers came second among French big-sized cities, nevertheless, with a score just shy of 0.12 points of a positive score.

Bison Futé makes available in XML traffic data from 13 French cities: Bordeaux, Lyon, Marseille, Lille, Caen, Rennes, Nantes, Saint Étienne, Grenoble, Strasbourg, Clermont-Ferrand, Limoge, and Savoie.

Traffic data is updated every 6 minutes.

See also page http://www.bison-fute.equipement.gouv.fr/fr/article.php3?id_article=545

The catchment area of a city is a group of municipalities, of a single enclave and enclave, which defines the extent of the influence of a cluster of population and employment on the surrounding municipalities, this influence being measured by the intensity of commuting to work.

Urban area zoning follows the zoning into urban areas in 2010.

An area consists of a pole and a crown.

— Poles are determined mainly on the basis of density and total population criteria, using a methodology consistent with that of the municipal density grid. A threshold of jobs is added in order to prevent essentially residential municipalities with few jobs from being considered poles. Within the pole, the most populous commune is called the center commune. If a pole sends at least 15 % of its assets to work in another pole of the same level, the two poles are associated and together form the heart of a catchment area. — Municipalities that send at least 15 % of their assets to work in the pole are the crown of the area.

The definition of the largest catchment areas of cities is consistent with the definition of “cities” and “functional urban areas” used by Eurostat and the OECD to analyse the functioning of cities. Zoning into catchment areas thus facilitates international comparisons and makes it possible to visualise the influence in France of major foreign cities. For example, seven areas have a town located abroad (Bâle, Charleroi, Geneva, Lausanne, Luxembourg, Monaco and Saarbrücken).

The areas are classified according to the total number of inhabitants of the area in 2017. The main thresholds selected are: Paris, 700,000 inhabitants, 200,000 inhabitants and 50,000 inhabitants. Areas whose pole is located abroad are classified in the category corresponding to their total population (French and foreign).

Urban catchment areas, dated 2020, were constructed with reference to commuting known in the 2016 Census.

Downloadable files provide the characteristics of the city’s catchment areas (size slice, number of municipalities) and the municipal composition of the city’s catchment areas.

Spatial dataset related to urban areas, street network and some central poles of cities and towns in northern France identified on the maps of the Etat-Major.

Comprehensive dataset containing 13 verified City department of transportation businesses in French Guiana with complete contact information, ratings, reviews, and location data.

PARES Dataset v2 PARES (PArish REcord Survey) contains 535 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D..They come from two French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d'Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, copied from original documents during the 1950's and 1960's for demographic studies led by the INED in France (Institut National des études démographiques − National Institute for Demographic Studies). These copies were made by only a few different writers. The documents are damaged and exhibit different types of degradations. We identified seven different document categories we call C1 to C7. C1 and C3 are generally high-quality documents, without serious damage, consisting of about 90% of the dataset. Other categories include highly damaged documents or documents with specificities. A notable aspect of this dataset is that the records are written using only two different physical paper templates. Categories n°1, 2, 3, 6 and 7 have 25 recordings while the categories 4 and 5 are higher and can record up to 35 recordings. C4 and C5 are the larger templates and differ from the rest of the documents. We published a paper, Text Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES), in which we better describe the dataset and the tasks it's possible to run on it.