| 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 |
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_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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|---|
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 | 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. | |||||
| 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.
| Language | Place names | Share | Script |
|---|---|---|---|
| German (deu) | 77,823 | 99.6% | — |
| English (eng) | 82 | 0.1% | — |
| Lower Sorbian (dsb) | 79 | 0.1% | — |
| Upper Sorbian (hsb) | 56 | 0.1% | — |
181,833 distinct features ·
21 languages ·
0 scripts ·
58 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 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.