| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | DE |
region_name |
region name | string | SEL | 0% | - | Germany |
admin_level |
admin level | string | SEL | 0% | - | admin_0 |
population_total |
population total | integer | SEL | 0% | - | 83118501 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 40919705 |
population_women |
population women | integer | 0% | - | 42198796 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | DE1, DE2, DE3, DE4, DE5 |
region_name |
region name | string | SEL | 0% | - | Baden-Württemberg, Bayern, Berlin, Brandenburg, Bremen |
admin_level |
admin level | string | SEL | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
population_total |
population total | integer | SEL | 0% | - | 11167721, 13105221, 3632853, 2545159, 695758 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 5531424, 6483452, 1777900, 1250710, 343260 |
population_women |
population women | integer | 0% | - | 5636297, 6621769, 1854953, 1294449, 352498 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | DE11, DE12, DE13, DE14, DE21 |
region_name |
region name | string | SEL | 0% | - | Stuttgart, Karlsruhe, Freiburg, Tübingen, Oberbayern |
admin_level |
admin level | string | SEL | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
population_total |
population total | integer | SEL | 0% | - | 4142738, 2832121, 2304974, 1887888, 4705040 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 2059677, 1403457, 1133901, 934389, 2323400 |
population_women |
population women | integer | 0% | - | 2083061, 1428664, 1171073, 953499, 2381640 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | DE111, DE112, DE113, DE114, DE115 |
region_name |
region name | string | SEL | 0% | - | Stuttgart, Stadtkreis, Böblingen, Esslingen, Göppingen,... |
admin_level |
admin level | string | SEL | 0% | - | admin_3, admin_3, admin_3, admin_3, admin_3 |
population_total |
population total | integer | SEL | 0% | - | 612041, 391368, 533434, 257269, 532109 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 304549, 194418, 265273, 127618, 262609 |
population_women |
population women | integer | 0% | - | 307492, 196950, 268161, 129651, 269500 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | string | SEL | 0% | 1 | DEU |
admin_name |
Admin name | string | SEL | 0% | 1 | Germany |
population_count |
Population count | integer | SEL | 0% | 1 | 83118501 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 16 | 02, 06, 13, 01, 05 |
admin_name |
Admin name | string | SEL | 0% | 16 | Hamburg, Hessen, Mecklenburg-Vorpommern,... |
population_count |
Population count | integer | SEL | 0% | 16 | 1832675, 6236933, 1576049, 2939283, 17964420 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 100 | 16065, 05358, 03460, 07319, 09190 |
admin_name |
Admin name | string | SEL | 0% | 100 | Kyffhäuserkreis, Düren, Landkreis, Vechta, Landkreis,... |
population_count |
Population count | integer | SEL | 0% | 100 | 73022, 276675, 145552, 85378, 136811 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_name |
Admin name | string | SEL | 0% | 1 | Germany |
admin_code |
Admin code | string | SEL | 0% | 1 | DEU |
population_catholic |
Population catholic | integer | CCL | 0% | 1 | 20746959 |
population_protestant_evangelical |
Population protestant evangelical | integer | CCL | 0% | 1 | 19127360 |
population_other_religion |
Population other religion | integer | CCL | 0% | 1 | 42845220 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_name |
Admin name | string | SEL | 0% | 16 | Baden-Württemberg, Bavaria, Berlin, Brandenburg, Bremen |
admin_code |
Admin code | integer | SEL | 0% | 16 | 08, 09, 11, 12, 04 |
population_other_religion |
Population other religion | integer | CCL | 0% | 16 | 4908749, 5146887, 2837114, 2113375, 433322 |
population_catholic |
Population catholic | integer | CCL | 0% | 16 | 3315254, 5757451, 272397, 85798, 62004 |
population_protestant_evangelical |
Population protestant evangelical | integer | CCL | 0% | 16 | 2880037, 2134382, 487488, 334900, 197876 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
name |
Admin name | string | SEL | 0% | 100 | Flensburg, Stadt, Kiel, Landeshauptstadt, Lübeck,... |
population |
Population count | integer | SEL | 6% | 90 | 96326, 118, 214, 79809, 12692 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
satzart |
satzart | string | 0% | 1 | 60, 60, 60, 60, 60 |
land |
land | string | 0% | 1 | 01, 01, 01, 01, 01 |
kreis |
kreis | string | 0% | 5 | 01, 02, 03, 04, 51 |
gemeinde |
gemeinde | string | 0% | 97 | 000, 000, 000, 000, 011 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
gns_language_code |
gns_language_code | string | CCL | 0% | 21 | deu, eng, dsb, hsb, ces |
gns_language_name |
gns_language_name | string | CCL | 0% | 21 | German, English, Lower Sorbian, Upper Sorbian, Czech |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 13 | 77823, 82, 79, 56, 34 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 13 | 99.5548, 0.1049, 0.1011, 0.0716, 0.0435 |
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% | 1 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DEU |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Germany |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 21 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9724 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 210525 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 181833 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 210467 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 58 |
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_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 32511 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 25924 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 87180 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 80330 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 47802 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 41226 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 4597 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 3898 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 22095 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 17643 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 10259 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 8707 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 5014 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 3560 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1067 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 545 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | -1743106, -1744755, -1746445, -1751262, -1752235 |
admin_designation |
admin_designation | string | 0% | 3 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 92 | Baden-Württemberg, Bavaria, Berlin, Brandenburg, Bremen |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 16 | DE-BW, DE-BY, DE-BE, DE-BB, DE-HB |
parent_code |
parent_code | string | 0% | 16 | DE-BW, DE-BY, DE-BE, DE-BB, DE-HB |
gns_prominence_band |
gns_prominence_band | integer | 0% | 3 | 9, 9, 9, 9, 9 |
latitude |
latitude | float | 0% | 92 | 48.5, 49.0, 52.5, 52.33333, 53.1 |
longitude |
longitude | float | 0% | 96 | 9.0, 11.5, 13.416667, 13.2, 8.76666 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 32UNU0000071876, 32UPV8284830467, 33UUU9252217830,... |
name_variant_count |
name_variant_count | integer | 0% | 7 | 2, 5, 2, 4, 4 |
ⓘ 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.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 17 | Germany, Baden-Wurttemberg, Bayern, Berlin, Brandenburg |
human_development_index |
Human development index | float | SEL | 0% | 61 | 0.854, 0.866, 0.855, 0.862, 0.832 |
health_index |
Health index | float | SEL | 0% | 44 | 0.851, 0.869, 0.857, 0.846, 0.837 |
education_index |
Education index | float | SEL | 0% | 60 | 0.799, 0.798, 0.779, 0.827, 0.808 |
income_index |
Income index | float | SEL | 0% | 66 | 0.915, 0.937, 0.936, 0.915, 0.851 |
life_expectancy |
Life expectancy | float | SEL | 0% | 81 | 75.34, 76.49, 75.71, 74.99, 74.42 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 85 | 11.98, 11.93, 11.85, 12.55, 12.77 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 6 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DE, DE, DE, DE, DE |
population_count |
Population count | float | SEL | 2% | 65 | 72814900.0, 73377632.0, 74025784.0, 74714353.0, 75318337.0 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 1162.12266831735, 1315.90787834504, 1430.52095516263,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 15% | 48 | 27.1, 26.4, 25.7, 24.9, 24.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 16.1, 16.0, 14.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Germany, Germany, Germany, Germany, Germany |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DE, DE, DE, DE, DE |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 69.0640731707317, 69.6448780487805, 69.7992195121951,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 30 | 14.4, 14.1, 13.9, 13.4, 12.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 15% | 48 | 27.1, 26.4, 25.7, 24.9, 24.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 11 | 14.0, 14.0, 13.0, 13.0, 12.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 41 | 2.37, 2.45, 2.44, 2.51, 2.54 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 41 | 17.3, 17.9, 17.8, 18.1, 18.0 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 26 | 12.0, 11.6, 11.9, 12.0, 11.6 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 52% | 32 | 2.745, 2.816, 2.904, 2.977, 3.041 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 42% | 34 | 10.5, 11.3000001907349, 11.5, 11.0, 10.3999996185 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 16 | 95.0, 97.0, 93.0, 94.0, 80.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 62% | 25 | 9.75930405, 9.78105545, 10.028965, 10.22255325, 9.97466278 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Germany, Germany, Germany, Germany, Germany |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | the Federal Republic of Germany |
admin_code |
Admin code | string | SEL | 0% | 1 | 19620994B64591758255713 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 357734.9659 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 84094001 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 235.07 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
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% | 16 | Nordrhein-Westfalen, Bayern, Baden-Württemberg,... |
admin_code |
Admin code | string | SEL | 0% | 16 | 10402087B86022102756745, 10402087B60477050509260,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 16 | 34111.7021, 70544.9583, 35752.4321, 47744.4396, 21113.8085 |
pop_2024 |
Population count | integer | SEL | 0% | 16 | 18115303, 13315642, 11237923, 8108560, 6359525 |
pop_density_2024 |
Population density | float | SEL | 0% | 16 | 531.06, 188.75, 314.33, 169.83, 301.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 99 | Berlin, Essen, Hamburg, Munich, Cologne |
admin_code |
Admin code | integer | SEL | 0% | 99 | 5483, 693, 4184, 5249, 1186 |
area_sqkm |
Area sqkm | float | SEL | 0% | 99 | 682.1778, 881.3189, 478.9425, 345.2493, 296.4085 |
pop_2024 |
Population count | integer | SEL | 0% | 99 | 3601776, 2583287, 1776852, 1670818, 1108016 |
pop_density_2024 |
Population density | float | SEL | 0% | 98 | 5279.82, 2931.16, 3709.95, 4839.45, 3738.14 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 99 | 3549997, 2718996, 1733898, 1827704, 1156303 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 90 | 1.015, 0.95, 1.025, 0.914, 0.958 |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 99 | Berlin, Essen, Munich, Hamburg, Cologne |
country_code |
Country code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
population |
Population count | integer | SEL | 0% | 99 | 3549997, 2718996, 1827704, 1733898, 1156303 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 99 | 5483, 693, 5249, 4184, 1186 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Germany, Germany, Germany, Germany, Germany |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 38 | balk1252, bava1246, carp1235, dani1285, dutc1256 |
name |
Name | string | CCL | 0% | 38 | Balkan Romani, Bavarian, Central Romani, Danish, Dutch |
iso639_3 |
Iso639 3 | string | CCL | 5% | 36 | rmn, bar, rmc, dan, nld |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | indo1319, indo1319, indo1319, indo1319, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 29 | roma1329, baye1239, roma1329, sout3248, glob1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',... |
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 | 19, 12, 14, 8, 17 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 5% | 34 | 42.67, 47.9232, 48.1968, 54.8655, 52.0 |
longitude |
longitude | float | 5% | 36 | 21.17, 13.246, 20.3129, 9.36284, 5.0 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | string | SEL | 0% | 1 | DEU |
admin_name |
Admin name | string | SEL | 0% | 1 | Germany |
foreign_citizens_count |
Foreign citizens count | integer | CCL | 0% | 1 | 13383910 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 16 | 06, 02, 12, 13, 03 |
admin_name |
Admin name | string | SEL | 0% | 16 | Hessen, Hamburg, Brandenburg, Mecklenburg-Vorpommern,... |
foreign_citizens_count |
Foreign citizens count | integer | CCL | 0% | 16 | 1290565, 367335, 196170, 115865, 1045140 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 45.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 129.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .de |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 94.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 45.0 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 38.4 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 38.4 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 45 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 109 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 109.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 129 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | a mix of publicly operated and privately owned TV and... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 70.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 94% (2024 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 38.4 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 38.4 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 45 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| 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 | 0% | 1 | 62800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 4.66 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 14.8 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | leading export-driven, core EU and eurozone economy; key... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $5.247 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 5.247 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $5.26 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 5.26 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $5.274 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 5.274 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | -0.2% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -0.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -0.3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -0.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.4 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 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 | 0% | 1 | $62,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $62,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 62700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $62,900 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 62900.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $4.66 trillion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.3% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 6.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 6.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 0.8% (2024 est.) |
| +119 more extension fields — download the CSV/Parquet to see them all. | |||||
| 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 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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 | 275.658 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 275.658 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 519.691 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 519.691 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 60.316 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 60.316 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 69.353 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 69.353 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 25.774 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 25.774 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 49% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 49.0 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 1.3% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 1.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 11.1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 11.1 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 25.9% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 25.9 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 3.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 3.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 9.4% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 9.4 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 1.4% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 1.4 |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text | string | 0% | 1 | 33 (2025) |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric | float | 0% | 1 | 33.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 109.741 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 109.741 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 140.994 million metric tons (2023 est.) |
| +25 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 47.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 32.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 77.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.13 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 50.628 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution and acid rain from coal-burning utilities... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Air Pollution, Air Pollution-Heavy Metals, Air... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 85.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | temperate and marine; cool, cloudy, wet winters and... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 47.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 33.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 33.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 13.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 13.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 32.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 15% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 15.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 77.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.13% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 600.192 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 600.192 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 163.407 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 | 0% | 1 | 163.407 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 277.688 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 | 0% | 1 | 277.688 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 159.097 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 159.097 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 10.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 10.6 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 476.2 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 476.2 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,197.8 kt (2019-2021 est.) |
| +22 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | German(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | German |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | German 85.4%, Turkish 1.8%, Ukrainian 1.4%, Syrian 1.1%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 85.4 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 357022.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 348672.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 8350.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3694.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2389.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2963.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -3.5 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 47.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 32.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 5065.0 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Europe, bordering the Baltic Sea and the North... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 51 00 N, 9 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 51.0 |
map_references_text |
map_references_text | string | 0% | 1 | Europe |
area_total_text |
area_total_text | string | 0% | 1 | 357,022 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 348,672 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 8,350 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | three times the size of Pennsylvania; slightly smaller... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,694 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Austria 801 km; Belgium 133 km; Czechia 704 km; Denmark... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 801.0 |
coastline_text |
coastline_text | string | 0% | 1 | 2,389 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200-m depth or to the depth of exploitation |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | temperate and marine; cool, cloudy, wet winters and... |
terrain_text |
terrain_text | string | 0% | 1 | lowlands in north, uplands in center, Bavarian Alps in south |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Zugspitze 2,963 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Neuendorf bei Wilster -3.5 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 263 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 263.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | coal, lignite, natural gas, iron ore, copper, nickel,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 47.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 33.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 33.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.6 |
| +19 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Federal Republic of Germany |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Germany |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Bundesrepublik Deutschland |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Deutschland |
country_name_former_text |
country_name_former_text | string | 0% | 1 | German Reich |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the origin of the name is unclear; it may come from... |
government_type_text |
government_type_text | string | 0% | 1 | federal parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Berlin |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 52 31 N, 13 24 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 52.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins last Sunday in March; ends last Sunday in October |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the origin of the name is unclear but may be related to... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 16 states (Laender, singular - Land);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 16.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1919 (Weimar Constitution); latest drafted... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1919.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by Parliament; passage and enactment into law... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a German citizen or a... |
citizenship_citizenship_by_descent_only_numeric |
Citizenship by descent only (numeric) | float | 0% | 1 | 8.0 |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes, but requires prior permission from government |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 8 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 8.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal; age 16 for some state and... |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +89 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | As Europe's largest economy and second most-populous... |
background_numeric |
background_numeric | float | 0% | 1 | 20.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | German (official); note - Danish, Frisian, Sorbian, and... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Das World Factbook, die unverzichtbare Quelle für... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 3,098,169 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 3098169.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 100 (2023 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 100.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 28,813 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 28813.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Federal Armed Forces (Bundeswehr): German Army (Deutsche... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2025_text |
Military expenditures 2025 (text) | string | 0% | 1 | 2.4% of GDP (2025 est.) |
military_expenditures_military_expenditures_2025_numeric |
Military expenditures 2025 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.5% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 185,000 active-duty military personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 185000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the inventory of Federal Armed Forces is comprised of... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 17-23 years of age for voluntary military service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 17.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | up to 500 Iraq (NATO); 300 Kosovo (NATO/KFOR), Lebanon... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 500.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Bundeswehr’s core mission is the defense of Germany... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1955.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 84012284.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 41517301.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 42494983.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 13.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.5 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 23.7 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 61.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 22.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 38.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 46.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.13 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 8.87 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 11.96 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 1.79 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 77.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.13 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.98 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 4.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 3.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 81.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.59 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.77 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 4.53 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 7.8 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 84,012,284 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 41,517,301 |
population_female_text |
population_female_text | string | 0% | 1 | 42,494,983 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 13.8% (male 5,925,800/female 5,688,603) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.5% (male 26,705,657/female 25,875,865) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 23.7% (2024 est.) (male 8,941,245/female 10,981,930) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 61.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 22.4 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 38.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 2.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 2.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 46.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 45.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 45.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 48.3 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 48.3 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.13% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 8.87 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 11.96 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 1.79 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | second most populous country in Europe; a fairly even... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 77.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.13% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.574 million BERLIN (capital), 1.788 million Hamburg,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.574 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.03 |
| +82 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 3.7 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 5.1 |
composition_ethnicity_primary_label_synth |
German | string | CCL | 0% | - | German |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 24.8%, Protestant 22.6%, Muslim 3.7%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 24.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 24.8 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 22.6 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 43.8 |
composition_ethnicity_german_pct_synth |
German | numeric | 0% | - | 85.4 |
composition_ethnicity_turkish_pct_synth |
Turkish | numeric | 0% | - | 1.8 |
composition_ethnicity_ukrainian_pct_synth |
Ukrainian | numeric | 0% | - | 1.4 |
composition_ethnicity_syrian_pct_synth |
Syrian | numeric | 0% | - | 1.1 |
composition_ethnicity_romanian_pct_synth |
Romanian | numeric | 0% | - | 1.0 |
composition_ethnicity_poland_pct_synth |
Poland | numeric | 0% | - | 1.0 |
composition_ethnicity_other_stateless_unspecified_pct_synth |
other/stateless/unspecified | numeric | 0% | - | 8.3 |
composition_ethnicity_primary_share_pct_synth |
German | numeric | 0% | - | 85.4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | German Aerospace Center (Deutsches Zentrum für Luft- und... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 1997.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | a commercial offshore launch platform that will operate... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has one of Europe’s largest space programs and is a top... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1969 - first German scientific satellite (Azur) launched... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1969.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major precursor-chemical producer (2025) |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | D |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 840.0 |
country_code |
Country code | string | SEL | 0% | 1 | DEU |
country_name |
Country name | string | SEL | 0% | 1 | Germany |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 840 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 449 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 449.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 39,379 km (2020) 20,942 km electrified |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 39379.0 |
railways_note |
railways_note | string | 0% | 1 | 15 km 0.900-mm gauge, 24 km 0.750-mm gauge (2015) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 595 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 595.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, container ship 69, general cargo 82, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 35 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 35.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 5 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 5.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 4 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 4.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 11 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 11.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 15 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 15.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 12 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 12.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Brake, Bremen, Bremerhaven, Cuxhaven, Emden, Hamburg,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/gm.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DE, DE, DE, DE, DE |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | DEU, DEU, DEU, DEU, DEU |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 16 | -18.77, -18.06, -28.69, -6.66, -23.69 |
grocery |
grocery | float | 0% | 16 | 3.43, 5.02, -1.81, 14.13, 7.02 |
parks |
parks | float | 0% | 16 | 68.08, 63.98, 15.08, 77.93, 56.76 |
transit |
transit | float | 0% | 16 | -23.23, -22.38, -28.08, -7.91, -24.58 |
workplaces |
workplaces | float | 0% | 16 | -20.11, -18.62, -23.56, -11.57, -17.55 |
residential |
residential | float | 0% | 15 | 6.43, 6.44, 6.65, 4.73, 5.59 |
region |
region | string | 0% | 16 | Baden-Württemberg, Bavaria, Berlin, Brandenburg, Bremen |
observation_count |
observation_count | integer | 0% | 1 | 974, 974, 974, 974, 974 |
| 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 | - |
| 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 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | DEU |
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 | 31 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 79 |
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 | 76 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 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 | 92 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.2 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | integer | 0% | 1 | 5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 69 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.47 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.8 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
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 | 82 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.33 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.9 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 23 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DEU |
| 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 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| German (deu) | 79,217 | 99.6% | — |
| English (eng) | 82 | 0.1% | — |
| Lower Sorbian (dsb) | 79 | 0.1% | — |
| Upper Sorbian (hsb) | 56 | 0.1% | — |
182,338 distinct features ·
21 languages ·
0 scripts ·
58 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Fri, 14 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Statistisches Bundesamt (Destatis) | official_nso | api |
| Eurostat | official_nso | api |
| Destatis | official_nso | bulk_download |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| commercial | bulk_download | |
| Global Data Lab | academic | api |
| Glottolog Language Catalog | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.