France cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 79062 cities in the France available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the France file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
2993423 | Monceaux-en-Bessin | Monceaux,Monceaux-en-Bessin | FR | Normandy | Calvados | 49.24859 | -0.69403 | 404 | Europe/Paris | populated place | |
12319860 | Le Haut de La Cour | Le Haut de La Cour | FR | Brittany | Côtes-d’Armor | 48.25948 | -2.76428 | 0 | Europe/Paris | populated place | |
12321431 | Liniers | Liniers | FR | Centre | Indre | 46.85543 | 1.1045 | 0 | Europe/Paris | populated place | |
2985847 | Pouillou | FR | Occitanie | Lot | 44.85929 | 1.61824 | 0 | Europe/Paris | populated place | ||
2981344 | Saint-Bonnet-de-Condat | Saint-Bonnet,Saint-Bonnet-de-Condat | FR | Auvergne-Rhône-Alpes | Cantal | 45.27999 | 2.7883 | 181 | Europe/Paris | populated place | |
12313452 | Curé | Cure,Curé | FR | Nouvelle-Aquitaine | Charente-Maritime | 46.13901 | -0.70939 | 0 | Europe/Paris | populated place | |
2987860 | Perrou | Perroux | FR | Normandy | Orne | 48.57212 | -0.55983 | 430 | Europe/Paris | populated place | |
3013923 | Haréville | Hareville,Haréville | FR | Grand Est | Vosges | 48.20517 | 6.00026 | 481 | Europe/Paris | populated place | |
3002304 | Le Rondet | FR | Auvergne-Rhône-Alpes | Allier | 46.26075 | 3.38849 | 0 | Europe/Paris | populated place | ||
3015272 | Grand’Combe-des-Bois | Grand’Combe,Grand’Combe-des-Bois,La Grand’Combe-des-Bois | FR | Bourgogne-Franche-Comté | Doubs | 47.13737 | 6.79102 | 0 | Europe/Paris | populated place | |
3017284 | Fréauville | Freauville,Fréauville | FR | Normandy | Seine-Maritime | 49.8249 | 1.41581 | 146 | Europe/Paris | populated place | |
12320133 | Saint-Quidy | Saint-Quidy | FR | Brittany | Morbihan | 47.84924 | -2.91999 | 0 | Europe/Paris | populated place | |
3003362 | Le Mesnil-Roux | Le Mesnil,Le Mesnil-Roux | FR | Normandy | Seine-Maritime | 49.53932 | 0.97314 | 0 | Europe/Paris | populated place | |
12312741 | Perdigo | Perdigo | FR | Occitanie | Tarn-et-Garonne | 44.01049 | 1.1728 | 0 | Europe/Paris | populated place | |
12311152 | Le Port | Le Port | FR | Nouvelle-Aquitaine | Landes | 43.56711 | -1.19115 | 0 | Europe/Paris | populated place | |
2973567 | Tailhac | Tailhac | FR | Auvergne-Rhône-Alpes | Haute-Loire | 45.04193 | 3.45782 | 75 | Europe/Paris | populated place | |
12320616 | Saint-Léger | Saint-Leger,Saint-Léger | FR | Nouvelle-Aquitaine | Lot-et-Garonne | 44.36312 | 0.8788 | 0 | Europe/Paris | populated place | |
3022061 | Curac | Curac,Kirak,Kjurak,qu la ke,Кирак,Кюрак,屈拉克 | FR | Nouvelle-Aquitaine | Charente | 45.29465 | 0.02616 | 119 | Europe/Paris | populated place | |
12310797 | Villeneuve | Villeneuve | FR | Pays de la Loire | Vendée | 46.64932 | -1.19921 | 0 | Europe/Paris | populated place | |
3006537 | La Salle | FR | Hauts-de-France | Pas-de-Calais | 50.7 | 1.58333 | 0 | Europe/Paris | populated place | ||
12309795 | Le Trémoulot | Le Tremoulot,Le Trémoulot | FR | Bourgogne-Franche-Comté | Doubs | 47.28156 | 6.8739 | 0 | Europe/Paris | populated place | |
3015453 | Goux-les-Usiers | Goux,Goux-les-Usiers,Gu-lez-Juz’e,gu lai yu xie er,Гу-лез-Юзьє,古莱于谢尔 | FR | Bourgogne-Franche-Comté | Doubs | 46.97306 | 6.27666 | 570 | Europe/Paris | populated place | |
3010776 | La Brossardière | FR | Pays de la Loire | Vendée | 46.66084 | -0.74631 | 0 | Europe/Paris | populated place | ||
8449815 | Perpirolles | FR | Nouvelle-Aquitaine | Creuse | 46.02703 | 2.15609 | 0 | Europe/Paris | populated place | ||
2981948 | Sainneville | Sainneville,Sainneville-sur-Seine | FR | Normandy | Seine-Maritime | 49.55598 | 0.28829 | 824 | Europe/Paris | populated place | |
12309849 | La Roquette | La Roquette | FR | Occitanie | Lot | 44.97771 | 1.63423 | 0 | Europe/Paris | populated place | |
3029748 | Brunoy | Brinoa,Brinoj,Brjunua,Brunoy,beulwinua,brwnwa,bu lu nu wa,buryunowa,Бриноа,Бриној,Брюнуа,برونوآ,ブリュノワ,布吕努瓦,브뤼누아 | FR | Île-de-France | Essonne | 48.6942 | 2.49223 | 24096 | Europe/Paris | populated place | |
3020648 | Larequille | Durdat-Larequille,Larequille | FR | Auvergne-Rhône-Alpes | Allier | 46.25189 | 2.70163 | 1205 | Europe/Paris | populated place | |
3006584 | La Rue de Pré | FR | Centre | Cher | 46.53495 | 2.43447 | 0 | Europe/Paris | populated place | ||
2980819 | Saint-Dizant-du-Bois | Dizant-du-Bois,Essouvert,Saint-Dizant-du-Bois,Saint-Duzant | FR | Nouvelle-Aquitaine | Charente-Maritime | 45.39826 | -0.5738 | 85 | Europe/Paris | populated place | |
2993120 | Montagnole | Montagnole,Montan’ol’,Монтаньоль | FR | Auvergne-Rhône-Alpes | Savoie | 45.54106 | 5.91333 | 723 | Europe/Paris | populated place | |
12319777 | Le Vau Jaune | Le Vau Jaune | FR | Brittany | Côtes-d’Armor | 48.40412 | -2.58288 | 0 | Europe/Paris | populated place | |
2986195 | Pont Esnaut | FR | Pays de la Loire | Loire-Atlantique | 47.41667 | -1.3 | 0 | Europe/Paris | populated place | ||
3035621 | Avrieux | Auriacum,Avrie,Avrieux,Avrije,Аврије,Авріє | FR | Auvergne-Rhône-Alpes | Savoie | 45.21525 | 6.7211 | 356 | Europe/Paris | populated place | |
2974857 | Serre | FR | Auvergne-Rhône-Alpes | Cantal | 45.24623 | 3.08409 | 0 | Europe/Paris | populated place | ||
12313026 | La Pommeraie | La Pommeraie | FR | Pays de la Loire | Loire-Atlantique | 47.35248 | -2.10155 | 0 | Europe/Paris | populated place | |
2996880 | Maconcourt | Maconcourt | FR | Grand Est | Vosges | 48.36552 | 5.94097 | 68 | Europe/Paris | populated place | |
2989114 | Ossès | Ortzaize,Orzaize,Oses,Osses,Ossès,Ossés,Osés,ao sai,Осес,Оссес,奥塞 | FR | Nouvelle-Aquitaine | Pyrénées-Atlantiques | 43.24175 | -1.28464 | 744 | Europe/Paris | populated place | |
3020301 | Életot | Eleto,Eletot,Életot,Елето | FR | Normandy | Seine-Maritime | 49.78832 | 0.45029 | 549 | Europe/Paris | populated place | |
12307210 | La Lombardière | La Lombardiere,La Lombardière | FR | Auvergne-Rhône-Alpes | Ardèche | 45.24963 | 4.68942 | 0 | Europe/Paris | populated place | |
3030459 | Bray-sur-Somme | Bray,Bray-su-Sonme,Bray-sur-Somme,Bre na Somi,Bre-sjur-Somm,suo mu he pan bu lai,Бре на Соми,Бре-сюр-Сомм,索姆河畔布赖 | FR | Hauts-de-France | Somme | 49.94085 | 2.71847 | 1360 | Europe/Paris | populated place | |
3012631 | Iville | Iville | FR | Normandy | Eure | 49.1771 | 0.92435 | 423 | Europe/Paris | populated place | |
12322681 | La Pionnière | La Pionniere,La Pionnière | FR | Nouvelle-Aquitaine | Deux-Sèvres | 46.67716 | -0.10582 | 0 | Europe/Paris | populated place | |
12317095 | La Valaille | La Valaille | FR | Nouvelle-Aquitaine | Vienne | 46.72642 | 0.05992 | 0 | Europe/Paris | populated place | |
3028651 | Carbuccia | Carbuccia,Karbucha,Karbuchcha,Карбуча,Карбучча | FR | Corsica | South Corsica | 42.04053 | 8.95299 | 266 | Europe/Paris | populated place | |
2973370 | Tarerach | Tarerac,Tarerach | FR | Occitanie | Pyrénées-Orientales | 42.69042 | 2.50108 | 42 | Europe/Paris | populated place | |
2978090 | Saint-Médard | Saint-Medard,Saint-Médard | FR | Nouvelle-Aquitaine | Pyrénées-Atlantiques | 43.53005 | -0.59091 | 183 | Europe/Paris | populated place | |
2968156 | Villiers-les-Poteaux | Villiers les Potots,Villiers-les-Poteaux | FR | Bourgogne-Franche-Comté | Yonne | 47.39286 | 3.99262 | 0 | Europe/Paris | populated place | |
2968597 | Villeneuve | FR | Nouvelle-Aquitaine | Deux-Sèvres | 46.75494 | -0.05289 | 0 | Europe/Paris | populated place | ||
3013196 | Hombourg-Haut | Hombourg-Haut,Hombourg-l’Eveque,Hombourg-l’Évéque,Hombourg-le-Haut,Oberhomburg,Ombur-O,Ombur-Ot,weng bu er ao,Омбур-О,Омбур-От,翁布尔奥 | FR | Grand Est | Moselle | 49.12819 | 6.77066 | 9702 | Europe/Paris | populated place | |
2981975 | Saillenard | Saillenard,Sajnar,Сайнар,سیلنارڈ | FR | Bourgogne-Franche-Comté | Saône-et-Loire | 46.69112 | 5.37129 | 564 | Europe/Paris | populated place | |
3037115 | Ardouval | Ardouval | FR | Normandy | Seine-Maritime | 49.74655 | 1.27488 | 169 | Europe/Paris | populated place | |
3034021 | Beautot | Beautot | FR | Normandy | Seine-Maritime | 49.77787 | 0.98015 | 0 | Europe/Paris | populated place | |
12320901 | Le Vert | Le Vert | FR | Nouvelle-Aquitaine | Corrèze | 45.46678 | 1.48407 | 0 | Europe/Paris | populated place | |
12316760 | Montmusard | Montmusard | FR | Bourgogne-Franche-Comté | Cote d’Or | 47.32181 | 5.06303 | 0 | Europe/Paris | populated place | |
2996568 | Maisons-Alfort | Maisons-Alfort,Mezon Alfor,Mezon-Al’for,Mezonz-Al’for,mai song a er fu,mejong-alpoleu,mezon=aruforu,myzwn alfwr,mzwn alfwr,mzwn-alfwr,Мезон Алфор,Мезон-Альфор,Мезонз-Альфор,مزون الفور,مزون-آلفور,ميزون ألفور,メゾン=アルフォール,邁松阿爾福,메종알포르 | FR | Île-de-France | Val-de-Marne | 48.81171 | 2.43945 | 53964 | Europe/Paris | populated place | |
2972238 | Tournedoz | Tournedoz | FR | Bourgogne-Franche-Comté | Doubs | 47.3722 | 6.6072 | 0 | Europe/Paris | populated place | |
2975444 | Schirrhein | Schirain,Schirrhein,Shirren,shyrhayn,si xi er lan,stshyrhyn,Ширрен,ستشيرهين,شیرهاین,斯希尔兰 | FR | Grand Est | Bas-Rhin | 48.80161 | 7.90588 | 2175 | Europe/Paris | populated place | |
2969195 | Vieux-Mesnil | FR | Hauts-de-France | North | 50.25297 | 3.86127 | 519 | Europe/Paris | populated place | ||
12319740 | L’Hôpital | L’Hopital,L’Hôpital | FR | Brittany | Côtes-d’Armor | 48.44371 | -2.69143 | 0 | Europe/Paris | populated place | |
2997628 | Lons | Lons,Loos,long zhen,Лонс,隆镇 | FR | Nouvelle-Aquitaine | Pyrénées-Atlantiques | 43.31505 | -0.41105 | 13872 | Europe/Paris | populated place | |
3034699 | Basse-Goulaine | Bas Gulen,Bass-Gulen,Basse-Goulaine,Goueled-Goulen,Sanctus Bricius de Golena,ba si gu lan,Бас Гулен,Басс-Гулен,巴斯古兰 | FR | Pays de la Loire | Loire-Atlantique | 47.2151 | -1.46598 | 8160 | Europe/Paris | populated place | |
2983520 | Rimbez-et-Baudiets | Rimbez-et-Baudiets | FR | Nouvelle-Aquitaine | Landes | 44.05202 | 0.05237 | 94 | Europe/Paris | populated place | |
3030884 | Bourran | Bourran | FR | Nouvelle-Aquitaine | Lot-et-Garonne | 44.34258 | 0.39363 | 609 | Europe/Paris | populated place | |
3007234 | La Poitevinière | La Poiteviniere,La Poitevinière | FR | Pays de la Loire | Maine-et-Loire | 47.22762 | -0.89714 | 0 | Europe/Paris | populated place | |
12312703 | Payrol | Payrol | FR | Occitanie | Tarn-et-Garonne | 44.0773 | 1.27423 | 0 | Europe/Paris | populated place | |
2970506 | Vaudrémont | Vaudremont,Vaudrémont | FR | Grand Est | Haute-Marne | 48.12811 | 4.90435 | 95 | Europe/Paris | populated place | |
2978602 | Saint-Marcan | Saint-Marcan,Sant-Marc’han | FR | Brittany | Ille-et-Vilaine | 48.58815 | -1.6336 | 414 | Europe/Paris | populated place | |
2981349 | Saint-Bonnet-Avalouze | Saint Bonnet,Saint-Bonnet-Avalouse,Saint-Bonnet-Avalouze | FR | Nouvelle-Aquitaine | Corrèze | 45.25618 | 1.8319 | 210 | Europe/Paris | populated place | |
2980247 | Saint-Étienne-de-Tinée | Fanum Sancti Stephani ad Tineam,Saint-Etienne,Saint-Etienne-de-Tinee,Saint-Étienne,Saint-Étienne-de-Tinée,Sant Esteve de Tinea,Sant Esteve de Tinia,Sant Estève de Tiniá,Sant Estève de Tinèa,Santo Stefano di Tinea,Sent-Eht’en-de-Tine,Sent-Et’enn-de-Tine,san atyn dy tyny,sheng ai di an de di nei ai,Сент-Етьєнн-де-Тіне,Сент-Этьен-де-Тине,سان إتين دي تيني,سینٹ-ایٹیینے-دے-تنے,圣埃蒂安德蒂内埃 | FR | Provence-Alpes-Côte d’Azur | Alpes-Maritimes | 44.25643 | 6.92499 | 1311 | Europe/Paris | populated place | |
12314622 | Chez Tarlot | Chez Tarlot | FR | Nouvelle-Aquitaine | Charente | 45.90773 | 0.49411 | 0 | Europe/Paris | populated place | |
12309352 | La Grande Côte | La Grande Cote,La Grande Côte | FR | Auvergne-Rhône-Alpes | Rhône | 45.67474 | 4.64213 | 0 | Europe/Paris | populated place | |
12319521 | La Valette | La Valette | FR | Provence-Alpes-Côte d’Azur | Hautes-Alpes | 44.56619 | 5.75558 | 0 | Europe/Paris | populated place | |
3017343 | Francon | Francon | FR | Occitanie | Upper Garonne | 43.25998 | 0.97292 | 180 | Europe/Paris | populated place | |
2969643 | Vert Bois | FR | Normandy | Seine-Maritime | 49.52152 | 1.20386 | 0 | Europe/Paris | populated place | ||
3007388 | La Pérouille | La Perouille,La Pérouille,La-Peruj,Perouille,Pérouille,la pei lu yi er,la pyrwyl,Ла-Перуй,لا پیرویل,拉佩鲁伊尔 | FR | Centre | Indre | 46.70399 | 1.5165 | 329 | Europe/Paris | populated place | |
2971258 | Uzès | Firmin-les-Uzes,Firmin-les-Uzés,Juzes,Ucetia,Uses,Usès,Uzes,Uzes-la-Montagne,Uzès,Uzès-la-Montagne,yu ze,yuzesu,Юзес,ユゼス,于泽 | FR | Occitanie | Gard | 44.01251 | 4.41973 | 7841 | Europe/Paris | populated place | |
3231411 | Le Petit-Saint-Aubin | FR | Normandy | Eure | 49.45467 | 0.53136 | 0 | Europe/Paris | populated place | ||
12316905 | Valcourt | Valcourt | FR | Grand Est | Meurthe et Moselle | 48.66339 | 5.88806 | 0 | Europe/Paris | populated place | |
2973216 | Teillet | FR | Occitanie | Tarn | 44.13666 | 2.285 | 0 | Europe/Paris | populated place | ||
3037501 | Anoux | Anoux | FR | Grand Est | Meurthe et Moselle | 49.27563 | 5.86918 | 296 | Europe/Paris | populated place | |
11549330 | La Cour | FR | Auvergne-Rhône-Alpes | Savoie | 45.47704 | 6.27096 | 0 | Europe/Paris | populated place | ||
3030545 | Branne | Branne | FR | Bourgogne-Franche-Comté | Doubs | 47.37608 | 6.47228 | 174 | Europe/Paris | populated place | |
2997292 | Loze | Loze | FR | Occitanie | Tarn-et-Garonne | 44.2865 | 1.79313 | 124 | Europe/Paris | populated place | |
3025274 | Chevry | Chevry | FR | Auvergne-Rhône-Alpes | Ain | 46.28136 | 6.03873 | 1126 | Europe/Paris | populated place | |
12313881 | Les Alouettes Sauvages | Les Alouettes Sauvages | FR | Bourgogne-Franche-Comté | Saône-et-Loire | 46.70551 | 4.38537 | 0 | Europe/Paris | populated place | |
3025019 | Choupeire | FR | Auvergne-Rhône-Alpes | Puy-de-Dôme | 45.42769 | 3.7637 | 0 | Europe/Paris | populated place | ||
2988328 | Paulin | Paulin | FR | Nouvelle-Aquitaine | Dordogne | 45.0022 | 1.34775 | 279 | Europe/Paris | populated place | |
2998868 | Le Verney | FR | Auvergne-Rhône-Alpes | Isère | 45.42446 | 5.49512 | 0 | Europe/Paris | populated place | ||
2998978 | Le Val Giffard | FR | Brittany | Ille-et-Vilaine | 47.84464 | -1.57827 | 0 | Europe/Paris | populated place | ||
3038539 | Le Vieil Aiglun | Aiglun,Le Vieil Aiglun | FR | Provence-Alpes-Côte d’Azur | Alpes-de-Haute-Provence | 44.06361 | 6.13015 | 0 | Europe/Paris | populated place | |
12316865 | La Quemine | La Quemine | FR | Grand Est | Meurthe et Moselle | 48.83516 | 6.07007 | 0 | Europe/Paris | populated place | |
3013979 | Hans | Hans | FR | Grand Est | Marne | 49.10928 | 4.74892 | 134 | Europe/Paris | populated place | |
3026802 | Chaourse | Chaourse,Chaourse-en-Thierache,Chaourse-en-Thiérache | FR | Hauts-de-France | Aisne | 49.7047 | 3.99911 | 527 | Europe/Paris | populated place | |
3000556 | Les Jonchiers | FR | Auvergne-Rhône-Alpes | Drôme | 44.29101 | 5.23098 | 0 | Europe/Paris | populated place | ||
3037119 | Ardon | Ardon | FR | Centre | Loiret | 47.77934 | 1.87419 | 920 | Europe/Paris | populated place | |
2992124 | Montrabé | Montrabe,Montrabé | FR | Occitanie | Upper Garonne | 43.64477 | 1.52384 | 3608 | Europe/Paris | populated place | |
12319967 | Buillac | Buillac | FR | Occitanie | Aude | 42.74517 | 2.19415 | 0 | Europe/Paris | populated place | |
3022711 | Cramant | Cramant | FR | Grand Est | Marne | 48.98803 | 3.99158 | 895 | Europe/Paris | populated place | |
3016356 | Geneuille | Geneuille,Zhenej,re na yi er,Женей,热纳伊尔 | FR | Bourgogne-Franche-Comté | Doubs | 47.32364 | 5.96982 | 916 | Europe/Paris | populated place |
France: A Geographical Exploration of Regions, Cities, and Data
A Complex Geography Steeped in History
France, located in Western Europe, is a country of diverse landscapes, rich cultural heritage, and intricate geographical features. From the rugged peaks of the Alps to the sun-soaked beaches of the Mediterranean, France offers an exceptional variety of terrains. The country is bordered by Belgium, Luxembourg, Germany, Switzerland, Italy, Spain, and Monaco, with coastlines along both the Atlantic Ocean and the Mediterranean Sea. Its diverse geography, including rolling plains, dense forests, and mountainous regions, contributes to its historical significance and cultural richness.
France's territorial diversity is mirrored in its urban structure, as the country is divided into numerous regions and departments, each offering distinct geographical and cultural characteristics. Understanding the distribution of cities and towns across this complex landscape is key to appreciating France’s multifaceted identity.
The Structure of France: Regions and Departments
France is divided into 18 regions, including 13 regions on the mainland and five overseas regions. These regions are further subdivided into departments, which serve as administrative divisions. Each department and region offers a unique look into the country’s physical geography, cultural differences, and local governance systems. From the highly urbanized Île-de-France, home to Paris, to the remote, rural regions of Corsica and Normandy, France's regions and departments are crucial for understanding its spatial and social dynamics.
For example, the Provence-Alpes-Côte d'Azur region in the southeast of France is known for its Mediterranean climate, picturesque villages, and significant historical sites, while the Normandy region in the northwest features a temperate climate with expansive fields, coastal cliffs, and a rich history tied to WWII. These geographical distinctions help shape not only the way the regions are governed but also how their populations live, work, and interact.
Unlocking the Potential of City Data in France
The vast array of cities and towns in France each has its own role within the country's larger social, economic, and environmental context. From the grandeur of Paris to the quieter streets of rural Brittany, each city offers insight into a different aspect of French life. But understanding these cities in-depth requires detailed data that goes beyond simple names and population counts.
For a geographer, accessing data on French cities, including their precise location within regions and departments, as well as key geographical data such as latitude and longitude, is essential. This data unlocks a deeper understanding of France’s urbanization patterns, regional distinctions, and even environmental challenges. By exploring the geographic distribution of French cities, you can gain insights into the development of infrastructure, transportation networks, and the regional influences that define each city.
The Importance of Latitude and Longitude in French City Analysis
Geographical coordinates, particularly the latitude and longitude of each city, are fundamental for precise mapping and analysis. These coordinates provide a global reference system that enables researchers to study the exact location of cities within France, their relationship to surrounding regions, and how they are affected by natural and man-made forces. By obtaining detailed latitude and longitude data, geographers can uncover spatial patterns that reveal the dynamics of urban expansion, rural depopulation, and even climate change.
For example, the cities in northern France, closer to the coast, experience different weather patterns and environmental challenges compared to cities in the southern regions, such as those in the Provence-Alpes-Côte d'Azur region. With precise location data, geographers can better understand these regional distinctions and how they impact everything from agriculture to transportation systems.
Geographical Data: A Tool for Understanding France’s Urban Landscape
In-depth geographical data is not just important for academic researchers. Urban planners, policy makers, and even businesses benefit from understanding the exact locations of French cities and their regional divisions. Accurate city data can help urban planners design more efficient transportation systems, identify potential growth areas, and plan for sustainable development. Similarly, businesses can use this data to make informed decisions about where to build infrastructure or open new locations.
The ability to access detailed data on cities, including their geographical coordinates and regional classifications, provides a powerful tool for anyone seeking to navigate the complex geography of France. It allows for a more nuanced analysis of how different cities interact within the larger national framework, whether it’s for environmental studies, market analysis, or historical research.
Discover France Through Geographic Data
For anyone seeking a comprehensive understanding of France's geographical layout, obtaining detailed city data is an essential step. With this data, you can explore not only the locations of major cities like Paris, Lyon, and Marseille, but also smaller towns in rural areas that play a crucial role in the country’s social and economic fabric. Understanding the spatial relationships between cities and regions—along with the latitude and longitude coordinates—enables a more thorough examination of France’s geography from both a macro and micro perspective.
This data-driven approach to geography is especially beneficial for those interested in analyzing the evolving trends in urbanization, infrastructure development, and regional identity. As France continues to grow and change, access to city data will remain a valuable resource for anyone looking to understand the complexities of the country’s geography.
The Future of Geographical Research in France
As technology advances and more data becomes available, the study of French geography will only become more sophisticated. Access to accurate, up-to-date data on cities, regions, and their geographical coordinates will continue to enhance the ability to analyze the country’s physical, social, and economic landscapes. By obtaining this data, researchers, urban planners, and businesses will be better equipped to address the challenges and opportunities that arise as France continues to evolve in the 21st century.
Through the lens of detailed city and regional data, France’s geography can be explored in new and innovative ways, providing deeper insights into the country's ever-changing landscape. Whether for academic purposes, policy-making, or business ventures, the availability of comprehensive geographical data offers a key to understanding the future of France.
FaQ about France
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.