France
FRA
Paris - The Eiffel Tower in spring · Photo: Jorge Royan /
CC BY-SA 3.0
via Wikimedia Commons
39,390
Records
15
Datasets
39
Tables
13
Sources
198
SEL Fields
57
CCL Fields
📋
Most recent national census: 2021.
Included in HERA.
📊 Latest intercensal survey:
2023 — rolling/continuous census (recensement de la population, enquêtes annuelles de recensement)
(a sample survey between full censuses, not a complete enumeration)
Loading overview…
Datasets (15)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
FRA INSEE Commune Comparateur (36K communes)
FRA-INSEE-COMMUNE-COMPARATEUR
Census
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
5
Admin 5
— 1 table(s)
FRA Communes Census Data
— 34,988 rows, 32 columns
Loading data…
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% | - | - |
France — INSEE Comparateur de territoires (department + arrondissement)
FRA-INSEE-COMPARATEUR
Census
434 rows · 2 table(s) · 2023
INSEE (Institut National de la Statistique et des Etudes Economiques)
0
1
2
3
24 SEL
10 ext
▶
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
2
Admin 2
— 1 table(s)
France Comparateur — Department level
— 101 rows, 17 columns
Loading data…
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
Loading data…
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 INSEE Recensement
FRA-INSEE
Census
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 4 table(s)
FRA INSEE - Census Births
— 716 rows, 6 columns
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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 |
FRA Global Data Lab
FRA-GDL
Development Indices
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
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 GDL - Subnational Indices
— 952 rows, 11 columns
Loading data…
Field details — 11 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 |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 28 | France, Alsace, Aquitaine, Auvergne, Basse-Normandie |
human_development_index |
Human development index | float | SEL | 0% | 60 | 0.851, 0.841, 0.846, 0.838, 0.831 |
health_index |
Health index | float | SEL | 0% | 48 | 0.874, 0.854, 0.877, 0.864, 0.868 |
education_index |
Education index | float | SEL | 0% | 68 | 0.777, 0.773, 0.775, 0.771, 0.751 |
income_index |
Income index | float | SEL | 0% | 50 | 0.908, 0.902, 0.891, 0.882, 0.882 |
life_expectancy |
Life expectancy | float | SEL | 0% | 78 | 76.84, 75.49, 76.98, 76.19, 76.39 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 73 | 11.65, 11.7, 11.69, 11.45, 11.28 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 4 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
FRA World Bank Open Data
FRA-WORLD_BANK
Development Indicators
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 World Bank - Development Indicators
— 66 rows, 8 columns
Loading data…
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
Loading data…
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 UNHCR Refugee Data Finder
FRA-UNHCR
Migration
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 UNHCR - Hosted Populations
— 75 rows, 24 columns
Loading data…
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
Loading data…
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
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
FRA LandScan - Population Admin0 (admin_0)
— 1 rows, 7 columns
Loading data…
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
Loading data…
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
Loading data…
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
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
Loading data…
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
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
FRA Glottolog - Languages
— 37 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| 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% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 26 | ['ES', 'FR'], ['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ',... |
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 (3)
— 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 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
FRA OpenFactBook
FRA-OPENFACTBOOK
Country Profile
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 16 table(s)
FRA OpenFactBook - Communications
— 2 rows, 21 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| 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_country_code_text |
Internet country code text | string | SEL+ | 50% | 1 | metropolitan France - .fr; French Guiana - .gf;... |
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 (14)
— 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_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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
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
Loading data…
Field details — 34 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 50% | 1 | F |
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 (29)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
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
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
Loading data…
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
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 Ethnic Power Relations Dataset
FRA-EPR
Political Ethnicity
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
FRA EPR - Groups
— 4 rows, 8 columns
Loading data…
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 | FRA, FRA, FRA, FRA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | French, Roma, Basques, Corsicans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | MONOPOLY, DISCRIMINATED, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.976, 0.006, 0.004, 0.004 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 22001000, 22004000, 22002000, 22003000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 3 | , false, false, true |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , |
FRA Global Organized Crime Index
FRA-OCINDEX
Crime Index
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
FRA Organized Crime Scores 2025
— 1 rows, 35 columns
Loading data…
Field details — 139 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
Pending (104) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | FRA |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 1 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 8 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 8 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 53 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 6 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 13 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 6.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 24 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 7 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 6.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 74 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.7 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 43 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.93 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.7 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 57 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 6.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 6.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 56 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.82 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.66 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 38 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
FRA World Values Survey
FRA-WVS
Attitudes Values
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
FRA WVS - Country Aggregates
— 1 rows, 26 columns
Loading data…
Field details — 26 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | FRA |
Extension Fields (25)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |