France

FRA INSEE Commune Comparateur (36K communes) FRA-INSEE-COMMUNE-COMPARATEUR Census

34,988 rows · 1 table · 2022 INSEE 0 1 2 3 4 5 11 SEL 21 ext ▶

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5 Admin 5 — 1 table(s)

FRA Communes Census Data — 34,988 rows, 32 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`P22_POP`	Total population (2022)	numeric	SEL	0%	-	-
`P22_MEN`	Total households (2022)	numeric	SEL	0%	-	-
`P22_LOG`	Total dwellings (2022)	numeric	SEL	0%	-	-
`P22_RP`	Principal residences (2022)	numeric	SEL	0%	-	-
`P22_LOGVAC`	Vacant dwellings (2022)	numeric	SEL	0%	-	-
`P22_RP_PROP`	Owner-occupied principal residences (2022)	numeric	SEL	0%	-	-
`TP6021`	Poverty rate at 60% of median income (2021, %)	numeric	SEL	0%	-	-
`P22_POP1564`	Population aged 15–64 (2022)	numeric	SEL	0%	-	-
`P22_CHOM1564`	Unemployed population aged 15–64 (2022)	numeric	SEL	0%	-	-
`P22_ACT1564`	Active labor-force population aged 15–64 (2022)	numeric	SEL	0%	-	-
`ETTOT24`	Total establishments (2024)	numeric	SEL	0%	-	-

Extension Fields (21) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`CODGEO`	INSEE geographic code (commune / arrondissement)	text	0%	-	-
`P16_POP`	Total population (2016)	numeric	0%	-	-
`SUPERF`	Surface area of commune (km²)	numeric	0%	-	-
`NAIS1621`	Total births, 2016–2021	numeric	0%	-	-
`DECE1621`	Total deaths, 2016–2021	numeric	0%	-	-
`NAISD24`	Total births, 2024 vintage	numeric	0%	-	-
`DECESD24`	Total deaths, 2024 vintage	numeric	0%	-	-
`P22_RSECOCC`	Secondary or occasional residences (2022)	numeric	0%	-	-
`NBMENFISC21`	Number of fiscal households (2021)	numeric	0%	-	-
`PIMP21`	Share of taxable households (2021, %)	numeric	0%	-	-
`MED21`	Median disposable income per consumption unit (2021, €)	numeric	0%	-	-
`P22_EMPLT`	Employed persons — workplace count (2022)	numeric	0%	-	-
`P22_EMPLT_SAL`	Salaried employees — workplace count (2022)	numeric	0%	-	-
`P16_EMPLT`	Employed persons (15+) — workplace count (2016)	numeric	0%	-	-
`ETAZ24`	Establishments — Agriculture, forestry, fishing (NAF A) (2024)	numeric	0%	-	-
`ETBE24`	Establishments — Mining/manufacturing/energy/water (NAF B–E) (2024)	numeric	0%	-	-
`ETFZ24`	Establishments — Construction (NAF F) (2024)	numeric	0%	-	-
`ETGU24`	Establishments — Trade/transport/lodging/info/finance/real-estate/business services (NAF G–U) (2024)	numeric	0%	-	-
`ETOQ24`	Establishments — Public admin / education / health (NAF O–Q) (2024)	numeric	0%	-	-
`ETTEF124`	Establishments with at least 1 employee (2024)	numeric	0%	-	-
`ETTEFP1024`	Establishments with 10+ employees (2024)	numeric	0%	-	-

FRA INSEE Recensement FRA-INSEE Census

2,524 rows · 4 tables · 2021 INSEE 0 1 2 3 4 SEL 20 ext ▶

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1 Admin 1 — 4 table(s)

FRA INSEE - Census Births — 716 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name`	Administrative unit name	string	0%	98	AU, F_H_IDF, FM, FE, FM
`sex_category`	Sex category	string	0%	1	, , , ,
`age_group`	Age group	string	0%	2	SO, SO, 00-, 00-, SO
`year`	Year	float	0%	2	2014, 2014, 2024, 2024, 2024
`births_total`	Total births	float	2%	98	1927.0, 596559.0, 625650.0, 659731.0, 21484.0

FRA INSEE - Census Deaths — 947 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name`	Administrative unit name	string	0%	92	FM, FE, AU, F_H_IDF, FM
`sex_category`	Sex category	float	0%	4	0, 0, SO, SO, 0
`age_group`	Age group	string	0%	1	SO, SO, SO, SO, SO
`year`	Year	string	0%	5	2014-12, 2013-12, 2014, 2014, 2020-12
`mortality_rate`	Mortality rate	float	98%	2	3.3, 3.5

FRA INSEE - Census Population — 42 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name`	Administrative unit name	string	0%	2	FM, FE, FM, FE, FE
`sex_category`	Sex category	string	0%	4	SO, SO, 0, 1, 0
`age_group`	Age group	string	0%	7	SO, SO, 15-49, 15-49, 60-
`year`	Year	string	0%	3	2025-11, 2025-11, 2026, 2026, 2026
`population_count`	Population count	float	5%	40	66474.0, 68736.0, 28326645.0, 14601042.0, 19685527.0

FRA INSEE - Population Estimates — 819 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name`	Administrative unit name	string	0%	100	D01, D02, D03, D04, D05
`sex_category`	Sex category	float	0%	1	0, 0, 0, 0, 0
`age_group`	Age group	string	0%	1	00-, 00-, 00-, 00-, 00-
`year`	Year	float	0%	1	2026, 2026, 2026, 2026, 2026
`estimations_population_age_sexe`	Population estimates by age and sex	float	0%	100	698810.0, 515993.0, 330281.0, 170438.0, 145889.0

France — INSEE Comparateur de territoires (department + arrondissement) FRA-INSEE-COMPARATEUR Census

434 rows · 2 tables · 2023 INSEE (Institut National de la Statistique et des Etudes Economiques) 0 1 2 3 24 SEL 10 ext ▶

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2 Admin 2 — 1 table(s)

France Comparateur — Department level — 101 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population`	Population (2023)	integer	SEL	1%	101	679344, 523342, 333298, 168054, 143467
`area_km2`	Area (km2)	decimal	SEL	1%	101	5762.4, 7361.6, 7340.1, 6925.2, 5548.7
`live_births_2025`	Live births (2025)	integer	SEL	0%	100	6129, 4584, 2338, 1269, 1105
`deaths_2025`	Deaths (2025)	integer	SEL	0%	101	5496, 5936, 4435, 2043, 1617
`median_disposable_income_eur`	Median disposable income (EUR)	integer	SEL	4%	89	27990, 23360, 24430, 24240, 25060
`poverty_rate_pct`	Poverty rate (%)	decimal	SEL	4%	67	12.2, 19.4, 16.4, 18.6, 14.3
`dwellings`	Dwellings	integer	SEL	1%	101	338914, 269720, 210435, 133546, 141875
`main_residences`	Main residences	integer	SEL	1%	101	294496, 233915, 164718, 82253, 69994
`owner_occupied_residences`	Owner-occupied main residences	integer	SEL	1%	101	184867, 144434, 107614, 49121, 42995
`vacant_dwellings`	Vacant dwellings	integer	SEL	1%	101	25966, 26679, 30370, 10716, 7781
`population_15_64`	Population aged 15-64	integer	SEL	1%	101	420513, 314622, 188713, 96205, 83726
`establishments`	Business establishments	integer	SEL	0%	101	20572, 14584, 10874, 7714, 7718

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`name`	Name	text	0%	101	Ain, Aisne, Allier, Alpes-de-Haute-Provence, Hautes-Alpes
`geo_code`	INSEE code	text	0%	101	01, 02, 03, 04, 05
`household_population`	Household population	integer	1%	101	666228, 513386, 322878, 164265, 139418
`secondary_dwellings`	Secondary & occasional dwellings	integer	1%	101	18452, 9127, 15348, 40577, 64099
`salaried_jobs`	Salaried jobs	integer	1%	101	198236, 152145, 104983, 49188, 46974

3 Admin 3 — 1 table(s)

France Comparateur — Arrondissement level — 333 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population`	Population (2023)	integer	SEL	0%	333	127914, 349343, 107091, 94996, 69264
`area_km2`	Area (km2)	decimal	SEL	0%	327	1584.2, 2873.7, 404.9, 899.6, 1115.2
`live_births_2025`	Live births (2025)	integer	SEL	0%	315	1169, 3127, 992, 841, 605
`deaths_2025`	Deaths (2025)	integer	SEL	0%	323	1190, 3078, 399, 829, 757
`median_disposable_income_eur`	Median disposable income (EUR)	integer	SEL	3%	250	26870, 27710, 42570, 25150, 24580
`poverty_rate_pct`	Poverty rate (%)	decimal	SEL	3%	136	11.0, 10.0, 15.4, 18.1, 15.9
`dwellings`	Dwellings	integer	SEL	0%	333	67152, 166073, 56707, 48982, 35398
`main_residences`	Main residences	integer	SEL	0%	333	56371, 150268, 46559, 41298, 30267
`owner_occupied_residences`	Owner-occupied main residences	integer	SEL	0%	333	36924, 99261, 25717, 22965, 20280
`vacant_dwellings`	Vacant dwellings	integer	SEL	0%	330	5793, 11395, 3549, 5229, 3377
`population_15_64`	Population aged 15-64	integer	SEL	0%	333	78149, 212253, 71351, 58760, 41791
`establishments`	Business establishments	integer	SEL	0%	327	3836, 11445, 2071, 3220, 2061

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`name`	Name	text	0%	331	Belley, Bourg-en-Bresse, Gex, Nantua, Château-Thierry
`geo_code`	INSEE code	text	0%	333	011, 012, 013, 014, 021
`household_population`	Household population	integer	0%	333	124930, 341359, 106130, 93809, 68050
`secondary_dwellings`	Secondary & occasional dwellings	integer	0%	330	4987, 4410, 6600, 2455, 1755
`salaried_jobs`	Salaried jobs	integer	0%	332	42134, 109056, 16054, 30991, 18073

FRA World Bank Open Data FRA-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 18 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

FRA World Bank - Development Indicators — 66 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FR, FR, FR, FR, FR
`population_count`	Population count	float	SEL	2%	65	47412964.0, 47905982.0, 48389516.0, 48877567.0, 49401492.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	69.8682926829268, 70.1170731707317, 70.3146341463415,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	1306.79629911648, 1401.87190432812, 1553.99323202639,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	51	28.5, 27.0, 25.7, 24.5, 23.4
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	13.8, 15.6

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	France, France, France, France, France
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

FRA World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FR, FR, FR, FR, FR
`life_expectancy`	Life expectancy	float	SEL	3%	63	69.8682926829268, 70.1170731707317, 70.3146341463415,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	41	18.5, 17.2, 16.4, 16.1, 16.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	51	28.5, 27.0, 25.7, 24.5, 23.4
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	12	20.0, 20.0, 19.0, 19.0, 19.0
`fertility_rate`	Fertility rate	float	SEL	3%	38	2.85, 2.87, 2.89, 2.89, 2.87
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	41	18.7, 18.7, 18.6, 18.5, 18.4
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	30	11.4, 11.3, 11.2, 11.1, 11.1
`physicians_per_1000`	Physicians per 1000	float	SEL	20%	45	1.2, 1.3, 1.3, 1.4, 1.4
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	26%	44	10.5, 10.6000003814697, 10.6000003814697,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	11	79.0, 79.0, 85.0, 90.0, 94.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	9.61744022, 9.75719261, 10.08250141, 10.13474941, 10.2117033

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	France, France, France, France, France
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

FRA World Bank - Migration Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	FRA, FRA, FRA, FRA, FRA
`country_name`	country_name	string	0%	1	France, France, France, France, France
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	5890023.0, 5936326.0, 6141350.0, 6839877.0, 7322210.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	10.3, 10.2, 10.3, 11.1, 11.5
`net_migration`	net_migration	float	0%	66	143032.0, 128618.0, 141634.0, 190925.0, 163039.0
`remittances_received_usd`	remittances_received_usd	float	23%	51	627961975.1, 653017089.8, 1260706177.0, 1582122070.0,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	23%	51	0.175740066213267, 0.177275356125829, 0.310211827544922,...
`remittances_paid_usd`	remittances_paid_usd	float	23%	51	2506303955.0, 2526193604.0, 2768169189.0, 3671261963.0,...

FRA UNHCR Refugee Data Finder FRA-UNHCR Migration

107 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

FRA UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

FRA UNHCR - Origin Populations — 32 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

FRA LandScan Global (ORNL) FRA-LANDSCAN Modeled Population

87 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

FRA LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	France
`admin_code`	Admin code	string	SEL	0%	1	40433807B32431433314883
`area_sqkm`	Area sqkm	float	SEL	0%	1	554367.8513
`pop_2024`	Population count	integer	SEL	0%	1	65371203
`pop_density_2024`	Population density	float	SEL	0%	1	117.92

1 Admin 1 — 1 table(s)

FRA LandScan - Population Admin1 (admin_1) — 13 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	13	Île-de-France, Auvergne-Rhône-Alpes, Nouvelle-Aquitaine,...
`admin_code`	Admin code	string	SEL	0%	13	19338628B22645672383103, 19338628B73800214047876,...
`area_sqkm`	Area sqkm	float	SEL	0%	13	12069.5878, 70901.7459, 85187.1781, 73365.5392, 31950.6329
`pop_2024`	Population count	integer	SEL	0%	13	12493191, 8218259, 6105189, 6076824, 6028781
`pop_density_2024`	Population density	float	SEL	0%	13	1035.1, 115.91, 71.67, 82.83, 188.69

Locality Locality — 1 table(s)

FRA LandScan - Cities (locality) — 73 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	73	Paris, Lyon, Marseille, Lille, Toulouse
`admin_code`	Admin code	integer	SEL	0%	73	2878, 3978, 4182, 3449, 2268
`area_sqkm`	Area sqkm	float	SEL	0%	73	1422.2533, 256.0419, 184.9248, 228.2977, 251.9151
`pop_2024`	Population count	integer	SEL	0%	73	9366654, 1102334, 939680, 872333, 680680
`pop_density_2024`	Population density	float	SEL	0%	73	6585.78, 4305.29, 5081.42, 3821.03, 2702.02

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	73	9328385, 1194741, 911934, 907123, 712882
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	70	1.004, 0.923, 1.03, 0.962, 0.955

FRA GHS Urban Centre Database (EU JRC) FRA-GHSL_UCDB Modeled Population

73 rows · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

FRA GHS-UCDB - Cities (locality) — 73 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	73	Paris, Lyon, Marseille, Lille, Toulouse
`country_code`	Country code	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA
`population`	Population count	integer	SEL	0%	73	9328385, 1194741, 911934, 907123, 712882

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	73	2878, 3978, 4182, 3449, 2268
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	France, France, France, France, France
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

FRA Glottolog Language Catalog FRA-GLOTTOLOG Language

37 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

FRA Glottolog - Languages — 37 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	37	arag1245, balk1252, basq1248, bret1244, carp1235
`name`	Name	string	CCL	0%	37	Aragonese, Balkan Romani, Basque, Breton, Central Romani
`iso639_3`	Iso639 3	string	CCL	3%	36	arg, rmn, eus, bre, rmc
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	3%	8	indo1319, indo1319, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	3%	29	unsh1234, roma1329, bret1245, roma1329, cors1242
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	17	4, 19, 11, 4, 14

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	3%	36	42.4669, 42.67, 43.2787, 48.2452, 48.1968
`longitude`	longitude	float	3%	36	-0.00919, 21.17, -1.31622, -3.78934, 20.3129
`country_codes`	Country codes	string	0%	26	['ES', 'FR'], ['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ',...
`classification`	classification	string	0%	1	[], [], [], [], []

FRA OpenFactBook FRA-OPENFACTBOOK Country Profile

25 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 96 SEL 3 CCL 667 ext ▶

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0 Admin 0 — 16 table(s)

FRA OpenFactBook - Communications — 2 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	50%	1	56.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	50%	1	117.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	50%	1	87.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	50%	1	49.0
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	50%	1	37.3 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	50%	1	37.3
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	50%	1	56 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	50%	1	77.5 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	50%	1	77.5
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	50%	1	117 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	50%	1	a mix of both publicly operated and privately owned TV...
`broadcast_media_numeric`	broadcast_media_numeric	float	50%	1	4.0
`internet_country_code_text`	Internet country code text	string	50%	1	metropolitan France - .fr; French Guiana - .gf;...
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	50%	1	87% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	50%	1	32.3 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	50%	1	32.3
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	50%	1	49 (2023 est.)
`source_section`	source_section	string	0%	1	Communications, Communications
`source_profile_path`	source_profile_path	string	0%	2	europe/fr.json, north-america/ip.json

FRA OpenFactBook - Economy — 2 rows, 150 columns

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Field details — 156 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	50%	1	54500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	50%	1	3.162
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	50%	1	15.6
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (150) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	50%	1	high-income, advanced EU economy and eurozone member;...
`economic_overview_numeric`	economic_overview_numeric	float	50%	1	2030.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	50%	1	$3.732 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	50%	1	3.732
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	50%	1	$3.689 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	50%	1	3.689
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	50%	1	$3.655 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	50%	1	3.655
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	50%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	50%	1	1.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	50%	1	1.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	50%	1	0.9% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	50%	1	0.9
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	50%	1	2.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	50%	1	2.6
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	50%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	50%	1	$54,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	50%	1	$54,000 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	50%	1	54000.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	50%	1	$53,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	50%	1	53700.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	50%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	50%	1	$3.162 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	50%	1	2% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	50%	1	2.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	50%	1	4.9% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	50%	1	4.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	50%	1	5.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	50%	1	5.2
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	50%	1	note: annual % change based on consumer prices
+120 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Energy — 1 rows, 67 columns

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Field details — 67 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (63) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	151.463 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	151.463
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	415.542 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	415.542
`electricity_exports_text`	electricity_exports_text	string	0%	1	76.207 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	76.207
`electricity_imports_text`	electricity_imports_text	string	0%	1	25.107 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	25.107
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	35.282 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	35.282
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	7.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	7.9
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	63.9% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	63.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	4.5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	4.5
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	10.4% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	10.4
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	10.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	10.8
`electricity_generation_sources_tide_and_wave_text`	electricity_generation_sources_tide_and_wave_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_tide_and_wave_numeric`	electricity_generation_sources_tide_and_wave_numeric	float	0%	1	0.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	2.3% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	2.3
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	57 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	57.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	61.37GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	61.37
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	64.8% (2023 est.)
+33 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Environment — 2 rows, 54 columns

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Field details — 60 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	2	52.5, 0.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	2	32.7, 0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	50%	1	81.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	50%	1	0.67
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	50%	1	36.749
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	2	air pollution and acid rain from industrial and vehicle...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	50%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	50%	1	85.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	50%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	2	metropolitan France: generally cool winters and mild...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	2	52.5% (2023 est.), 0% (2018 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	50%	1	arable land: 31.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	50%	1	31.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	50%	1	permanent crops: 1.9% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	50%	1	1.9
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	50%	1	permanent pasture: 19.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	50%	1	19.2
`land_use_forest_text`	land_use_forest_text	string	0%	2	32.7% (2023 est.), 0% (2018 est.)
`land_use_other_text`	land_use_other_text	string	0%	2	15% (2023 est.), 100% (2018 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	2	15.0, 100.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	50%	1	81.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	50%	1	0.67% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	50%	1	303.779 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	50%	1	303.779
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	50%	1	25.355 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	50%	1	25.355
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	50%	1	209.4 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	50%	1	209.4
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	50%	1	69.025 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	50%	1	69.025
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	50%	1	9 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	50%	1	9.0
`methane_emissions_energy_text`	methane_emissions_energy_text	string	50%	1	232 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	50%	1	232.0
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	50%	1	1,496.1 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Frenchman(men), Frenchwoman(women)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	French
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Celtic and Latin with Teutonic, Slavic, North African...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

FRA OpenFactBook - Geography — 2 rows, 62 columns

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Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	2	643801.0, 6.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	2	640427.0, 6.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	2	3374.0, 0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	2	3956.0, 0.0
`coastline_numeric`	Coastline km	float	SEL	0%	2	4853.0, 11.1
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	2	4810.0, 29.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	2	-2.0, 0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	2	52.5, 0.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	2	32.7, 0.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	50%	1	14236.0
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (57) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	2	metropolitan France: Western Europe, bordering the Bay...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	2	metropolitan France: 46 00 N, 2 00 E French Guiana: 4 00...
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	2	46.0, 10.0
`map_references_text`	map_references_text	string	0%	2	metropolitan France: Europe French Guiana: South America...
`area_total_text`	area_total_text	string	0%	2	643,801 sq km ; 551,500 sq km (metropolitan France), 6 sq km
`area_land_text`	area_land_text	string	0%	2	640,427 sq km ; 549,970 sq km (metropolitan France), 6 sq km
`area_water_text`	area_water_text	string	0%	2	3,374 sq km ; 1,530 sq km (metropolitan France), 0 sq km
`area_note`	area_note	string	50%	1	note: the first numbers include the overseas regions of...
`area_comparative_text`	area_comparative_text	string	0%	2	slightly more than four times the size of Georgia;...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	2	3,956 km, 0 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	50%	1	Andorra 55 km; Belgium 556 km; Germany 418 km; Italy 476...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	50%	1	55.0
`land_boundaries_metropolitan_france_total_text`	land_boundaries_metropolitan_france_total_text	string	50%	1	2751 km
`land_boundaries_metropolitan_france_total_numeric`	land_boundaries_metropolitan_france_total_numeric	float	50%	1	2751.0
`land_boundaries_french_guiana_total_text`	land_boundaries_french_guiana_total_text	string	50%	1	1205 km
`land_boundaries_french_guiana_total_numeric`	land_boundaries_french_guiana_total_numeric	float	50%	1	1205.0
`coastline_text`	coastline_text	string	0%	2	4,853 km, 11.1 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm, 12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0, 12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	50%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	50%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	2	200 nm (does not apply to the Mediterranean Sea), 200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0, 200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	50%	1	200m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	50%	1	200.0
`climate_text`	climate_text	string	0%	2	metropolitan France: generally cool winters and mild...
`terrain_text`	terrain_text	string	0%	2	metropolitan France: mostly flat plains or gently...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	2	Mont Blanc 4,810, Rocher Clipperton 29 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	2	Rhone River delta -2 m, Pacific Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	50%	1	375 m
+27 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Government — 2 rows, 94 columns

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Field details — 128 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (126) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	2	French Republic, none
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	2	France, Clipperton Island
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	2	République française, none
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	2	France, Ile Clipperton
`country_name_etymology_text`	country_name_etymology_text	string	0%	2	derives from the Latin name Francia, meaning "Land of...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	2	3.0, 18.0
`government_type_text`	government_type_text	string	50%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	50%	1	Paris
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	50%	1	48 52 N, 2 20 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	50%	1	48.0
`capital_time_difference_text`	capital_time_difference_text	string	50%	1	UTC+1 (6 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	50%	1	1.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	50%	1	+1hr, begins last Sunday in March; ends last Sunday in October
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	50%	1	1.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	50%	1	applies to metropolitan France only; for its overseas...
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	50%	1	-4.0
`capital_etymology_text`	capital_etymology_text	string	50%	1	name derives from the Parisii, a Celtic tribe that...
`capital_etymology_numeric`	capital_etymology_numeric	float	50%	1	3.0
`administrative_divisions_text`	administrative_divisions_text	string	50%	1	18 regions (régions, singular - région);...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	50%	1	18.0
`dependent_areas_text`	dependent_areas_text	string	50%	1	Clipperton Island, French Polynesia, French Southern and...
`dependent_areas_numeric`	dependent_areas_numeric	float	50%	1	8.0
`legal_system_text`	legal_system_text	string	0%	2	civil law; review of administrative but not legislative...
`constitution_history_text`	constitution_history_text	string	50%	1	many previous; latest effective 4 October 1958
`constitution_history_numeric`	constitution_history_numeric	float	50%	1	4.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	50%	1	proposed by the president of the republic (upon...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	50%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	50%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	50%	1	at least one parent must be a citizen of France
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	50%	1	yes
+96 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Introduction — 2 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	2	France today is one of the most modern countries in the...
`background_numeric`	background_numeric	float	0%	2	-7.0, 18.0
`source_section`	source_section	string	0%	1	Introduction, Introduction
`source_profile_path`	source_profile_path	string	0%	2	europe/fr.json, north-america/ip.json

FRA OpenFactBook - Languages — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	French (official) 100%, declining regional dialects and...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	100.0
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	The World Factbook, une source indispensable...
`languages_note`	languages_note	string	0%	1	note: overseas departments - French, Creole patois,...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

FRA OpenFactBook - Migration — 1 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	810,325 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	810325.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	59 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	59.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	2,634 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	2634.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

FRA OpenFactBook - Military And Security — 2 rows, 21 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	50%	1	French Armed Forces (Forces Armées Françaises): Army...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	50%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	50%	1	2.1% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	50%	1	2.1
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	50%	1	2% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	50%	1	2.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	50%	1	1.9% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	50%	1	1.9
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	50%	1	1.9% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	50%	1	1.9
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	50%	1	1.9% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	50%	1	1.9
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	50%	1	approximately 200,000 active duty Armed Forces;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	50%	1	200000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	50%	1	the French military's inventory consists mostly of...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	50%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	50%	1	generally 17-30 years of age for both men and women with...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	50%	1	17.0
`military_deployments_text`	military_deployments_text	string	50%	1	France typically has up to 30,000 total air, ground, and...
`military_deployments_numeric`	military_deployments_numeric	float	50%	1	30000.0
`military_note_text`	military_note_text	string	0%	2	the French military has a global footprint and a wide...
`military_note_numeric`	military_note_numeric	float	50%	1	2010.0
`source_section`	source_section	string	0%	1	Military and Security, Military and Security
`source_profile_path`	source_profile_path	string	0%	2	europe/fr.json, north-america/ip.json

FRA OpenFactBook - People And Society — 2 rows, 125 columns

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Field details — 138 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	50%	1	68512806.0
`population_male_numeric`	Population male	float	SEL	50%	1	33627639.0
`population_female_numeric`	Population female	float	SEL	50%	1	34885167.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	50%	1	17.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	50%	1	60.7
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	50%	1	22.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	50%	1	65.2
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	50%	1	28.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	50%	1	36.8
`median_age_total_numeric`	Median age	float	SEL	50%	1	42.7
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	50%	1	0.2
`birth_rate_numeric`	Birth rate per 1000	float	SEL	50%	1	10.88
`death_rate_numeric`	Death rate per 1000	float	SEL	50%	1	9.91
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	50%	1	1.06
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	50%	1	81.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	50%	1	0.67
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	50%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	50%	1	0.96
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	50%	1	7.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	50%	1	3.1
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	50%	1	82.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	50%	1	1.9
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	50%	1	0.93
`physician_density_numeric`	Physicians per 1000	float	SEL	50%	1	3.28
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	50%	1	6.0
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (110) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	2	68,512,806 (2025 est.), uninhabited
`population_male_text`	population_male_text	string	50%	1	33,627,639
`population_female_text`	population_female_text	string	50%	1	34,885,167
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	50%	1	17.3% (male 6,060,087/female 5,792,805)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	50%	1	60.7% (male 20,875,861/female 20,615,847)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	50%	1	22% (2024 est.) (male 6,621,146/female 8,408,845)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	50%	1	65.2 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	50%	1	28.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	50%	1	36.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	50%	1	2.7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	50%	1	2.7
`median_age_total_text`	median_age_total_text	string	50%	1	42.7 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	50%	1	41 years
`median_age_male_numeric`	median_age_male_numeric	float	50%	1	41.0
`median_age_female_text`	median_age_female_text	string	50%	1	44.2 years
`median_age_female_numeric`	median_age_female_numeric	float	50%	1	44.2
`population_growth_rate_text`	population_growth_rate_text	string	50%	1	0.2% (2025 est.)
`birth_rate_text`	birth_rate_text	string	50%	1	10.88 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	50%	1	9.91 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	50%	1	1.06 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	50%	1	much of the population is concentrated in the north and...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	50%	1	81.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	50%	1	0.67% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	50%	1	11.208 million PARIS (capital), 1.761 million Lyon,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	50%	1	11.208
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	50%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	50%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	50%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	50%	1	1.01 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	50%	1	1.01
+80 more extension fields — download the CSV/Parquet to see them all.

FRA OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 21 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	4.0
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	2.0
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.0

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Roman Catholic 47%, Muslim 4%, Protestant 2%, Buddhist...
`religions_numeric`	religions_numeric	float	0%	1	47.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	47.0
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	2.0
`composition_religion_orthodox_pct_synth`	Orthodox	numeric	0%	-	1.0
`composition_religion_jewish_pct_synth`	Jewish	numeric	0%	-	1.0
`composition_religion_none_pct_synth`	none	numeric	0%	-	33.0
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	9.0
`composition_ethnicity_celtic_and_latin_with_teutonic_pct_synth`	Celtic and Latin with Teutonic	numeric	0%	-	-
`composition_ethnicity_slavic_pct_synth`	Slavic	numeric	0%	-	-
`composition_ethnicity_north_african_pct_synth`	North African	numeric	0%	-	-
`composition_ethnicity_indochinese_pct_synth`	Indochinese	numeric	0%	-	-
`composition_ethnicity_basque_minorities_pct_synth`	Basque minorities	numeric	0%	-	-

FRA OpenFactBook - Space — 1 rows, 9 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	National Center for Space Studies (Centre National...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1961.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	Guiana Space Center (Kourou, French Guiana; also serves...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	1969.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has one of Europe’s largest space programs and is one of...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2001.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	early 1960s - began rocket program and launched animals...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1960.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

FRA OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FRA
`country_name`	Country name	string	SEL	0%	1	France
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Islamic Revolutionary Guard Corps/Qods Force; Islamic...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	europe/fr.json

FRA OpenFactBook - Transportation — 2 rows, 31 columns

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Field details — 34 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	50%	1	1218.0
`country_code`	Country code	string	SEL	0%	1	FRA, FRA
`country_name`	Country name	string	SEL	0%	2	France, Clipperton Island
`admin_level`	Admin level	string	SEL	0%	1	national, national

Extension Fields (30) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	50%	1	F
`airports_text`	airports_text	string	50%	1	1,218 (2025)
`heliports_text`	heliports_text	string	50%	1	405 (2025)
`heliports_numeric`	heliports_numeric	float	50%	1	405.0
`railways_total_text`	railways_total_text	string	50%	1	27,860 km (2020) 16,660 km electrified
`railways_total_numeric`	railways_total_numeric	float	50%	1	27860.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	50%	1	-5 km
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	50%	1	-5.0
`merchant_marine_total_text`	merchant_marine_total_text	string	50%	1	553 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	50%	1	553.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	50%	1	container ship 32, general cargo 48, oil tanker 25, other 448
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	50%	1	32.0
`merchant_marine_note`	merchant_marine_note	string	50%	1	note: includes Monaco
`ports_total_ports_text`	ports_total_ports_text	string	50%	1	66 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	50%	1	66.0
`ports_large_text`	ports_large_text	float	50%	1	6
`ports_large_numeric`	ports_large_numeric	float	50%	1	6.0
`ports_medium_text`	ports_medium_text	float	50%	1	12
`ports_medium_numeric`	ports_medium_numeric	float	50%	1	12.0
`ports_small_text`	ports_small_text	float	50%	1	22
`ports_small_numeric`	ports_small_numeric	float	50%	1	22.0
`ports_very_small_text`	ports_very_small_text	float	50%	1	26
`ports_very_small_numeric`	ports_very_small_numeric	float	50%	1	26.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	50%	1	31
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	50%	1	31.0
`ports_key_ports_text`	ports_key_ports_text	string	50%	1	Bayonne, Bordeaux, Boulogne-sur-Mer, Dunkerque Port Est,...
`transportation_note_text`	transportation_note_text	string	50%	1	begun in 1988 and completed in 1994, the Channel Tunnel...
`transportation_note_numeric`	transportation_note_numeric	float	50%	1	1988.0
`source_section`	source_section	string	0%	1	Transportation, Transportation
`source_profile_path`	source_profile_path	string	0%	2	europe/fr.json, north-america/ip.json

FRA Google Community Mobility (2020-2022) FRA-GOOGLE-MOBILITY Mobility

13 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

FRA Mobility by Region — 13 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	FR, FR, FR, FR, FR
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	13	-15.24, -13.2, -7.37, -15.2, 19.58
`grocery`	grocery	float	0%	13	11.16, 9.64, 22.74, 7.99, 32.47
`parks`	parks	float	0%	13	46.87, 55.1, 113.2, 50.94, 130.29
`transit`	transit	float	0%	13	-4.44, 1.63, 10.76, 7.05, 41.18
`workplaces`	workplaces	float	0%	13	-21.58, -19.79, -17.1, -22.0, -11.5
`residential`	residential	float	0%	13	5.86, 5.9, 5.14, 6.0, 3.04
`region`	region	string	0%	13	Auvergne-Rhône-Alpes, Bourgogne-Franche-Comté, Brittany,...
`observation_count`	observation_count	integer	0%	10	12662, 8764, 4870, 6818, 2922

FRA NGA GEOnet Names Server (GNS) FRA-NGA_GNS Language

12 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

FRA NGA GNS - Language — 11 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	FRA, FRA, FRA, FRA, FRA
`gns_language_code`	gns_language_code	string	CCL	0%	11	fra, eng, deu, ita, nld
`gns_language_name`	gns_language_name	string	CCL	0%	11	French, English, German, Italian, Dutch
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	9	31464, 494, 20, 10, 6
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	9	98.3035, 1.5434, 0.0625, 0.0312, 0.0187
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Latn, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Latin, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0, 0, 0, 0

FRA NGA GNS - Summary — 1 rows, 31 columns

Loading data…

Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	FRA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	France
`gns_language_count`	gns_language_count	integer	CCL	0%	1	11
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9775
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	106578
`gns_feature_count`	gns_feature_count	integer	0%	1	78221
`gns_endonym_count`	gns_endonym_count	integer	0%	1	106554
`gns_exonym_count`	gns_exonym_count	integer	0%	1	24
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	77433
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	59575
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	8168
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	5300
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	9871
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	5656
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	3718
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	3020
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	3106
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	2619
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	454
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	311
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	3813
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	1734
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	12
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	4
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	3
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	2

FRA INFORM Risk Index (EC-JRC) FRA-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 257 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

FRA Inform - Risk Index — 1 rows, 257 columns

Loading data…

Field details — 257 fields (type, nulls, unique, samples)

Pending (257) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	FRA
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0571428571428571
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	547660.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.05
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0140815937002039
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	2.2
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.20011723041534
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	2.2
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.9
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.7
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.7
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.5
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	1.0
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.5
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.1
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	1.8
`inform_cc_inf_com`	Communication	float	0%	1	1.8
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.3
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.1
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.1
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	0.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.2
`inform_institutional_capacity`	Institutional	float	0%	1	3.3
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	3.6
`inform_cc_ins_drr_sg_dsr_lgrgsr`	Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR]	float	0%	1	4.2
+227 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
French (fra)	31,464	98.3%	Latin
English (eng)	494	1.5%	—
German (deu)	20	0.1%	—
+ 8 further languages (29 names, each under 0.05%)

Source	Type	Access
INSEE	official_nso	api
Google	commercial	bulk_download
World Bank Open Data	international_organization	api
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download