| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | HU |
region_name |
region name | string | SEL | 0% | - | Hungary |
admin_level |
admin level | string | SEL | 0% | - | admin_0 |
population_total |
population total | integer | SEL | 0% | - | 9599744 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 4625260 |
population_women |
population women | integer | 0% | - | 4974484 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | HU1, HU2, HU3, HUX |
region_name |
region name | string | SEL | 0% | - | Közép-Magyarország, Dunántúl, Alföld és Észak, Not... |
admin_level |
admin level | string | SEL | 0% | - | admin_1, admin_1, admin_1, admin_1 |
population_total |
population total | integer | SEL | 0% | - | 2999794, 2900998, 3698952, None |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 1429563, 1405135, 1790562, None |
population_women |
population women | integer | 0% | - | 1570231, 1495863, 1908390, None |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | HU11, HU12, HU21, HU22, HU23 |
region_name |
region name | string | SEL | 0% | - | Budapest, Pest, Közép-Dunántúl, Nyugat-Dunántúl, Dél-Dunántúl |
admin_level |
admin level | string | SEL | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
population_total |
population total | integer | SEL | 0% | - | 1671004, 1328790, 1059399, 982924, 858675 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 782385, 647178, 516182, 476967, 411986 |
population_women |
population women | integer | 0% | - | 888619, 681612, 543217, 505957, 446689 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | HU110, HU120, HU211, HU212, HU213 |
region_name |
region name | string | SEL | 0% | - | Budapest, Pest, Fejér, Komárom-Esztergom, Veszprém |
admin_level |
admin level | string | SEL | 0% | - | admin_3, admin_3, admin_3, admin_3, admin_3 |
population_total |
population total | integer | SEL | 0% | - | 1671004, 1328790, 419565, 301492, 338342 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 782385, 647178, 204909, 146726, 164547 |
population_women |
population women | integer | 0% | - | 888619, 681612, 214656, 154766, 173795 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Hungary, Del-Alfold, Del-Dunantul, Eszak-Alfold,... |
human_development_index |
Human development index | float | SEL | 0% | 74 | 0.73, 0.72, 0.72, 0.712, 0.702 |
health_index |
Health index | float | SEL | 0% | 56 | 0.76, 0.76, 0.759, 0.756, 0.751 |
education_index |
Education index | float | SEL | 0% | 79 | 0.63, 0.615, 0.615, 0.613, 0.599 |
income_index |
Income index | float | SEL | 0% | 68 | 0.811, 0.796, 0.799, 0.779, 0.769 |
life_expectancy |
Life expectancy | float | SEL | 0% | 85 | 69.37, 69.42, 69.32, 69.12, 68.82 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 94 | 9.457, 9.322, 9.4, 9.273, 9.339 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 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 | HU, HU, HU, HU, HU |
population_count |
Population count | float | SEL | 2% | 65 | 9983512.0, 10027958.0, 10060825.0, 10087947.0, 10119835.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 68.0031707317073, 68.9360975609756, 67.8658536585366,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 14% | 57 | 476.434350138292, 527.231617602682, 559.197091346639,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 98.8600006103516 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 60 | 54.1, 51.6, 49.4, 47.5, 45.9 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 73% | 13 | 13.5, 15.9, 12.3, 12.4, 12.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Hungary, Hungary, Hungary, Hungary, Hungary |
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 | HU, HU, HU, HU, HU |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 68.0031707317073, 68.9360975609756, 67.8658536585366,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 57 | 28.2, 27.4, 27.0, 27.0, 27.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 60 | 54.1, 51.6, 49.4, 47.5, 45.9 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 14 | 26.0, 26.0, 24.0, 24.0, 25.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 46 | 2.02, 1.94, 1.79, 1.82, 1.82 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 38 | 14.7, 14.0, 12.9, 13.1, 13.1 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 34 | 10.2, 9.6, 10.8, 9.9, 10.0 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 5% | 46 | 1.5, 1.6, 1.7, 1.7, 1.8 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 56% | 22 | 9.3000001907, 8.8000001907, 8.8000001907, 8.0, 8.1000003815 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 1 | 99.0, 99.0, 99.0, 99.0, 99.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.76979256, 6.8197937, 7.1181159, 8.12986469, 7.76592064 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Hungary, Hungary, Hungary, Hungary, Hungary |
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 | HUN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Hungary |
admin_code |
Admin code | string | SEL | 0% | 1 | 27208725B55498351108151 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 92116.8767 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 9819320 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 106.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
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% | 19 | Pest, Borsod-Abaúj-Zemplén, Szabolcs-Szatmár-Bereg,... |
admin_code |
Admin code | string | SEL | 0% | 19 | 22733592B46801225244053, 22733592B38895068362950,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 19 | 6924.9874, 7161.3788, 6176.071, 6321.5062, 8085.5389 |
pop_2024 |
Population count | integer | SEL | 0% | 19 | 3104566, 625150, 562879, 530807, 490713 |
pop_density_2024 |
Population density | float | SEL | 0% | 19 | 448.31, 87.29, 91.14, 83.97, 60.69 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 13 | Budapest, Debrecen, Miskolc, Szeged, Pécs |
admin_code |
Admin code | integer | SEL | 0% | 13 | 964, 1603, 1406, 1303, 708 |
area_sqkm |
Area sqkm | float | SEL | 0% | 13 | 368.207, 42.0245, 37.0265, 34.0095, 37.009 |
pop_2024 |
Population count | integer | SEL | 0% | 13 | 1630251, 155069, 119980, 110023, 106794 |
pop_density_2024 |
Population density | float | SEL | 0% | 13 | 4427.54, 3689.97, 3240.38, 3235.07, 2885.62 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 13 | 1743875, 139471, 115425, 122060, 123329 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 13 | 0.935, 1.112, 1.039, 0.901, 0.866 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HU, HU, HU, HU, HU |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 20 | 1.79, 9.85, -21.98, 4.2, 12.26 |
grocery |
grocery | float | 0% | 20 | 6.83, 17.13, -3.13, 16.21, 16.12 |
parks |
parks | float | 0% | 20 | 28.53, 91.61, 9.34, 61.35, 1.56 |
transit |
transit | float | 0% | 20 | -2.66, -1.54, -26.08, -1.46, -0.21 |
workplaces |
workplaces | float | 0% | 20 | -6.74, -12.69, -23.77, -17.57, -13.79 |
residential |
residential | float | 0% | 19 | 3.63, 3.46, 6.27, 2.97, 2.84 |
region |
region | string | 0% | 20 | Baranya, Borsod-Abaúj-Zemplén, Budapest, Bács-Kiskun,... |
observation_count |
observation_count | integer | 0% | 3 | 974, 974, 974, 974, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 15 | balk1252, carp1235, east2295, hung1263, hung1274 |
name |
Name | string | CCL | 0% | 15 | Balkan Romani, Central Romani, Eastern Yiddish,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 15 | rmn, rmc, ydd, hsh, hun |
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% | 3 | indo1319, indo1319, indo1319, sign1238, ural1272 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 11 | roma1329, roma1329, schl1237, nucl1839, hung1287 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 14 | ['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% | 10 | 19, 14, 12, 6, 10 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 15 | 42.67, 48.1968, 51.75, 47.49236, 46.9068585714 |
longitude |
longitude | float | 0% | 15 | 21.17, 20.3129, 19.42, 19.052084, 19.6555271429 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
gns_language_code |
gns_language_code | string | CCL | 0% | 14 | hun, eng, deu, slk, ukr |
gns_language_name |
gns_language_name | string | CCL | 0% | 14 | Hungarian, English, German, Slovak, Ukrainian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 7 | 422, 75, 16, 5, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 7 | 78.7313, 13.9925, 2.9851, 0.9328, 0.7463 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 0, 0, 0, 0, 2 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Latn, , , , Latn |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Latin, , , , Latin |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 1, 0, 0, 0, 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HUN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Hungary |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 14 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9044 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 30343 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 23547 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 30314 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 29 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 19634 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 15890 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2814 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1895 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2013 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1059 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3381 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2712 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1949 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1701 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 476 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 244 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 76 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 46 |
| 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 | 28.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 104.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .hu |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 92.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 37.0 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | 2.693 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2.693 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 28 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 10.2 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 10.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 104 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | mixed system of state-supported media and private... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 5.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 92% (2024 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 3.56 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 3.56 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 37 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.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 | 40700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 222.905 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 12.1 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | high-income EU and OECD economy; modest recovery from... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2024.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $389.207 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 389.207 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $387.223 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 387.223 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $390.513 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 390.513 |
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 | 0.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 0.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -0.8% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -0.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.3 |
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 | $40,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $40,400 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 40400.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $40,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 40700.0 |
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 | $222.905 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.7% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 17.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 17.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 14.6% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 14.6 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +120 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 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | 14.829 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 14.829 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 42.739 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 42.739 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 8.863 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 8.863 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 19.963 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 19.963 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.454 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.454 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 28.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 28.9 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 44.2% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 44.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 19.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 19.4 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 1.8% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 1.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 4.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 4.9 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 4 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 4.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 1.92GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 1.92 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 48.8% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 48.8 |
coal_production_text |
coal_production_text | string | 0% | 1 | 4.293 million metric tons (2023 est.) |
| +27 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 | 55.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 22.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 72.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.05 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 3.781 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 and soil pollution; water pollution from industry... |
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 | Antarctic-Environmental Protection |
climate_text |
climate_text | string | 0% | 1 | temperate; cold, cloudy, humid winters; warm summers |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 55.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 45.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 45.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 22.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 20.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 20.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 72.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.05% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 40.161 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 40.161 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 3.373 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 | 3.373 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 20.887 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 | 20.887 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 15.901 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 | 15.901 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 14.2 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 14.2 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 3.781 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 31% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 31.0 |
| +14 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 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | Hungarian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Hungarian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Hungarian 84.3%, Romani 2.1%, German 1%, other 1.2%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 84.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 93028.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 89608.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 3420.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2106.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1014.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 78.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 55.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 22.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1331.0 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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, northwest of Romania |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 47 00 N, 20 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 47.0 |
map_references_text |
map_references_text | string | 0% | 1 | Europe |
area_total_text |
area_total_text | string | 0% | 1 | 93,028 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 89,608 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 3,420 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Virginia; about the same size as Indiana |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,106 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Austria 321 km; Croatia 348 km; Romania 424 km; Serbia... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 321.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | temperate; cold, cloudy, humid winters; warm summers |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to rolling plains; hills and low mountains... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Kekes 1,014 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Tisza River 78 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 143 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 143.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | bauxite, coal, natural gas, fertile soils, arable land |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 55.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 45.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 45.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 22.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 20.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 20.9 |
| +11 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 | HUN |
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 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Hungary |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Magyarorszag |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Kingdom of Hungary, Hungarian People's Republic,... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the Byzantine Greeks referred to the tribes that arrived... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 9.0 |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Budapest |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 47 30 N, 19 05 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 47.0 |
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 | Buda on the western shore of the Danube and Pest on the... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1873.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 19 counties (megyek, singular - megye), 25 cities with... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 19.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil system influenced by the German model |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1949 (heavily amended in 1989 following the... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1949.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic, by the... |
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 citizen of Hungary |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
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, 16 if married and marriage is... |
| +80 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 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Hungary became a Christian kingdom in A.D. 1000 and for... |
background_numeric |
background_numeric | float | 0% | 1 | 1000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Hungarian (official) 98.8%, English 25.3%, German 12.6%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 98.8 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | A World Factbook nélkülözhetetlen forrása az alapvető... |
languages_note |
languages_note | string | 0% | 1 | note: percentages add up to more than 100% because... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | 72,359 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 72359.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 101 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 101.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | Hungarian Defense Forces (HDF or Magyar Honvédség): the... |
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 | 2.1% of GDP (2025 est.) |
military_expenditures_military_expenditures_2025_numeric |
Military expenditures 2025 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 2.1% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 30,000 active-duty military personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 30000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the HDF has a mix of Soviet-era and more modern,... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2017.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18 years of age for voluntary military service; no... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 250 Bosnia-Herzegovina (EUFOR stabilization force); 200... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 250.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Hungarian Defense Forces (HDF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1999.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 9855745.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 4812668.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 5043077.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 14.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 63.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 21.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 56.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 22.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 33.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 45.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.29 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 9.03 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 14.41 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 2.45 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 72.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.05 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 12.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 4.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 76.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.6 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.78 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 3.46 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 6.8 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 | 9,855,745 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 4,812,668 |
population_female_text |
population_female_text | string | 0% | 1 | 5,043,077 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 14.6% (male 753,955/female 683,943) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 63.9% (male 3,195,761/female 3,104,750) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 21.5% (2024 est.) (male 862,952/female 1,254,384) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 56.4 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 22.8 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 33.6 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 45.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 42.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 42.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 46.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 46.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.29% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 9.03 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 14.41 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 2.45 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | a fairly even distribution throughout most of the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 72.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.05% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.778 million BUDAPEST (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.778 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.1 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.1 |
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 |
| +80 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 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.4 |
composition_ethnicity_primary_label_synth |
Hungarian | string | CCL | 0% | - | Hungarian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 30.1% (Roman Catholic 27.5%, Greek Catholic... |
religions_numeric |
religions_numeric | float | 0% | 1 | 30.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 30.1 |
composition_religion_catholic__roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 27.5 |
composition_religion_catholic__greek_catholic_pct_synth |
Greek Catholic | numeric | 0% | - | 1.7 |
composition_religion_catholic__other_catholic_pct_synth |
other Catholic | numeric | 0% | - | 0.9 |
composition_religion_calvinist_pct_synth |
Calvinist | numeric | 0% | - | 9.8 |
composition_religion_lutheran_pct_synth |
Lutheran | numeric | 0% | - | 1.8 |
composition_religion_other_christian_includes_orthodox_pct_synth |
other Christian (includes Orthodox) | numeric | 0% | - | 1.6 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 16.1 |
composition_religion_no_answer_pct_synth |
no answer | numeric | 0% | - | 40.1 |
composition_ethnicity_hungarian_pct_synth |
Hungarian | numeric | 0% | - | 84.3 |
composition_ethnicity_romani_pct_synth |
Romani | numeric | 0% | - | 2.1 |
composition_ethnicity_german_pct_synth |
German | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 1.2 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 13.7 |
composition_ethnicity_primary_share_pct_synth |
Hungarian | numeric | 0% | - | 84.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
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 State of Iraq and ash-Sham (ISIS) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.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 | HA |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 109.0 |
country_code |
Country code | string | SEL | 0% | 1 | HUN |
country_name |
Country name | string | SEL | 0% | 1 | Hungary |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 109 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 15 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 15.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 7,687 km (2020) 3,111 km electrified |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 7687.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 1 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 1.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 1 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/hu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 13 | Budapest, Debrecen, Pécs, Szeged, Miskolc |
country_code |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN, HUN, HUN |
population |
Population count | integer | SEL | 0% | 13 | 1743875, 139471, 123329, 122060, 115425 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 13 | 964, 1603, 708, 1303, 1406 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Hungary, Hungary, Hungary, Hungary, Hungary |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN, HUN, HUN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Hungarians, Roma, Germans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.9, 0.05, 0.01 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 31001000, 31002000, 31003000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , , false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HUN |
society_id |
Society id | string | CCL | 0% | 1 | Ch8 |
society_name |
Society name | string | CCL | 0% | 1 | Magyar |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | hung1274 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:1; EA004:2; EA005:7 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:4; EA007:8; EA008:8; EA009:1; EA010:10 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:5; EA029:6; EA030:7; EA031:8; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:4; EA035:8 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:10; EA013:2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Hungary |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 47.0 |
longitude |
longitude | float | 0% | 1 | 20.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| 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 | HUN |
| 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 |
|---|---|---|---|
| Hungarian (hun) | 422 | 78.7% | Latin |
| English (eng) | 75 | 14.0% | — |
| German (deu) | 16 | 3.0% | — |
| Slovak (slk) | 5 | 0.9% | — |
| Ukrainian (ukr) | 4 | 0.7% | Latin |
| Romanian (ron) | 4 | 0.7% | — |
| Serbian (srp) | 2 | 0.4% | — |
| Bosnian/Croatian/Montenegrin/Serbian (hbs) | 2 | 0.4% | Cyrillic |
| + 6 further languages (6 names, each under 0.05%) | |||
23,547 distinct features ·
14 languages ·
2 scripts ·
4 names in non-Roman script ·
29 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 |
|---|---|---|
| Eurostat | official_nso | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| commercial | bulk_download | |
| Ethnic Power Relations Dataset | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.