France
FRA
Paris - The Eiffel Tower in spring · Photo: Jorge Royan /
CC BY-SA 3.0
via Wikimedia Commons
39,433
Records
15
Datasets
39
Tables
13
Sources
198
SEL Fields
44
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)
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
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 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
— 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 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 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, 22 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, 156 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, 60 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, 70 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, 128 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, 7 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, 9 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, 27 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, 138 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, 21 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, 13 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, 34 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 — 35 fields (type, nulls, unique, samples)
Extension Fields (35)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | 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_financial_crimes |
oc_financial_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_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | 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_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | 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_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension 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 |