| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | CZ |
region_name |
region name | string | SEL | 0% | - | Czechia |
admin_level |
admin level | string | SEL | 0% | - | admin_0 |
population_total |
population total | integer | SEL | 0% | - | 10827529 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 5308523 |
population_women |
population women | integer | 0% | - | 5519006 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | CZ0 |
region_name |
region name | string | SEL | 0% | - | Česko |
admin_level |
admin level | string | SEL | 0% | - | admin_1 |
population_total |
population total | integer | SEL | 0% | - | 10827529 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 5308523 |
population_women |
population women | integer | 0% | - | 5519006 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | CZ01, CZ02, CZ03, CZ04, CZ05 |
region_name |
region name | string | SEL | 0% | - | Praha, Střední Čechy, Jihozápad, Severozápad, Severovýchod |
admin_level |
admin level | string | SEL | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
population_total |
population total | integer | SEL | 0% | - | 1357326, 1439391, 1257691, 1105932, 1533205 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 656382, 707185, 618541, 543249, 754481 |
population_women |
population women | integer | 0% | - | 700944, 732206, 639150, 562683, 778724 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | CZ010, CZ020, CZ031, CZ032, CZ041 |
region_name |
region name | string | SEL | 0% | - | Hlavní město Praha, Středočeský kraj, Jihočeský kraj,... |
admin_level |
admin level | string | SEL | 0% | - | admin_3, admin_3, admin_3, admin_3, admin_3 |
population_total |
population total | integer | SEL | 0% | - | 1357326, 1439391, 652303, 605388, 293595 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 656382, 707185, 321352, 297189, 143370 |
population_women |
population women | integer | 0% | - | 700944, 732206, 330951, 308199, 150225 |
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 9 | Czech Republic, Jihovychod, Jihozapad, Moravskoslezsko, Praha |
human_development_index |
Human development index | float | SEL | 0% | 73 | 0.765, 0.771, 0.759, 0.742, 0.847 |
health_index |
Health index | float | SEL | 0% | 57 | 0.791, 0.803, 0.79, 0.777, 0.81 |
education_index |
Education index | float | SEL | 0% | 86 | 0.672, 0.696, 0.664, 0.659, 0.779 |
income_index |
Income index | float | SEL | 0% | 60 | 0.843, 0.82, 0.832, 0.798, 0.962 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 71.41, 72.17, 71.38, 70.49, 72.66 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 87 | 10.08, 10.15, 10.02, 10.01, 10.93 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 12 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZ, CZ, CZ, CZ, CZ |
population_count |
Population count | float | SEL | 2% | 65 | 9602006.0, 9586651.0, 9624660.0, 9670685.0, 9727804.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 70.3487804878049, 70.5126829268293, 69.7868292682927,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 47% | 35 | 3969.36733543794, 2917.08655474323, 3396.70972430469,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 54 | 24.8, 24.4, 24.2, 24.3, 24.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 73% | 11 | 10.4, 9.9, 9.6, 9.0, 8.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Czechia, Czechia, Czechia, Czechia, Czechia |
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 | CZ, CZ, CZ, CZ, CZ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 70.3487804878049, 70.5126829268293, 69.7868292682927,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 36% | 32 | 10.5, 9.9, 9.3, 8.8, 8.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 54 | 24.8, 24.4, 24.2, 24.3, 24.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 13 | 15.0, 17.0, 15.0, 16.0, 15.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 46 | 2.09, 2.11, 2.12, 2.31, 2.34 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 52 | 13.4, 13.7, 13.9, 15.4, 15.9 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 26 | 9.8, 9.9, 10.8, 10.4, 10.5 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 35% | 38 | 1.8, 1.9, 1.9, 1.9, 2.0 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 55% | 28 | 11.3000001907349, 11.3999996185303, 11.3000001907,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 52% | 7 | 99.0, 98.0, 96.0, 97.0, 98.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 62% | 25 | 5.66916943, 5.83479309, 6.14656258, 6.50168419, 6.33308411 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Czechia, Czechia, Czechia, Czechia, Czechia |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 | CZE |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Czech Republic |
admin_code |
Admin code | string | SEL | 0% | 1 | 82561520B82711691529229 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 78874.4968 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 10833390 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 137.35 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
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% | 14 | Středočeský kraj, Hlavní město Praha, Jihomoravský kraj,... |
admin_code |
Admin code | string | SEL | 0% | 14 | 73172107B58641114734330, 73172107B16313596965023,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 10930.1306, 496.3917, 7186.0015, 5430.0868, 5338.5259 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 1459747, 1338601, 1233556, 1194717, 811471 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 133.55, 2696.66, 171.66, 220.02, 152.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 12 | Prague, Brno, Pilsen, Ostrava, Liberec |
admin_code |
Admin code | integer | SEL | 0% | 12 | 560, 1194, 79, 1404, 833 |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 263.3085, 81.0789, 51.0582, 45.0543, 28.0369 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 1174642, 320754, 138980, 133286, 69780 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 4461.09, 3956.07, 2721.99, 2958.34, 2488.86 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 12 | 1201278, 313582, 146255, 150766, 86841 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 12 | 0.978, 1.023, 0.95, 0.884, 0.804 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZ, CZ, CZ, CZ, CZ |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 14 | -2.54, -10.08, -5.63, -9.38, -11.85 |
grocery |
grocery | float | 0% | 14 | 17.05, 12.36, 11.28, 18.43, 12.46 |
parks |
parks | float | 0% | 14 | 12.18, 26.66, 18.03, 24.67, 13.92 |
transit |
transit | float | 0% | 14 | 9.61, 6.5, -6.84, -6.29, -2.43 |
workplaces |
workplaces | float | 0% | 14 | -13.85, -16.98, -8.86, -17.7, -13.14 |
residential |
residential | float | 0% | 13 | 5.34, 4.71, 3.49, 4.37, 4.1 |
region |
region | string | 0% | 14 | Central Bohemian Region, Hradec Králové Region, Karlovy... |
observation_count |
observation_count | integer | 0% | 14 | 12634, 5827, 3892, 4857, 6812 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
gns_language_code |
gns_language_code | string | CCL | 0% | 13 | ces, deu, eng, pol, ron |
gns_language_name |
gns_language_name | string | CCL | 0% | 13 | Czech, German, English, Polish, Romanian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 7 | 512, 175, 157, 11, 3 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 7 | 58.7156, 20.0688, 18.0046, 1.2615, 0.344 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 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 | CZE |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Czechia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 13 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.894 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 27356 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 18799 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 27327 |
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 | 23714 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 16383 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1487 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1004 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 960 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 623 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 744 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 562 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 284 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 118 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 51 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 41 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 116 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 68 |
| 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 | 11.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 127.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cz |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 86.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 38.0 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | 1.16 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.16 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 11 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 13.6 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 13.6 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 127 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 22 national TV stations, with 17 privately owned;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 22.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 86% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 4.1 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 4.1 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 38 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.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 | 48000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 345.037 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 10.2 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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, diversified EU economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2025.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $521.928 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 | 521.928 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $516.145 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 | 516.145 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $516.431 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 | 516.431 |
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 | 1.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 1.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -0.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -0.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.8 |
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 | $48,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $47,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 47500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $48,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 48400.0 |
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 | $345.037 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 10.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 10.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 15.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 15.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +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 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | 21.802 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 21.802 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 63.628 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 63.628 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 22.648 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 22.648 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 13.465 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 13.465 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.012 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.012 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 45.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 45.1 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 40.1% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 40.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 4.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 4.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.9 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 2.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 7% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 7.0 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 6 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 6.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 3.96GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 3.96 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 40% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 40.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 31.946 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 | 45.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 38.2 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 74.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.2 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 5.335 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 water pollution (including acid rain) in areas... |
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; cool summers; cold, cloudy, humid winters |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 45.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 32.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 32.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 12.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 12.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 38.2% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 74.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.2% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 79.901 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 79.901 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 41.667 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 | 41.667 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 25.707 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 | 25.707 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 12.527 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 | 12.527 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 15 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 15.0 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 5.335 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 | 37.3% (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 | 37.3 |
| +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 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | Czech(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Czech |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Czech 57.3%, Moravian 3.4%, other 7.7%, unspecified... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 57.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 78867.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 77247.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 1620.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2046.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1602.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 115.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 45.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 38.2 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 220.0 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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, between Germany, Poland, Slovakia, and Austria |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 49 45 N, 15 30 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 49.0 |
map_references_text |
map_references_text | string | 0% | 1 | Europe |
area_total_text |
area_total_text | string | 0% | 1 | 78,867 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 77,247 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 1,620 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about two-thirds the size of Pennsylvania; slightly... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,046 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Austria 402 km; Germany 704 km; Poland 699 km; Slovakia 241 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 402.0 |
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; cool summers; cold, cloudy, humid winters |
terrain_text |
terrain_text | string | 0% | 1 | Bohemia in the west consists of rolling plains, hills,... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Snezka 1,602 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Labe (Elbe) River 115 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 433 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 433.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | hard coal, soft coal, kaolin, clay, graphite, timber, arable land |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 45.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 32.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 32.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 12.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 12.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 38.2% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
| +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 | CZE |
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 | Czech Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Czechia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Ceska republika |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Cesko |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name derives from the Czechs, a West Slavic tribe who... |
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 | Prague |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 50 05 N, 14 28 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 50.0 |
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 name may derive from the old Slavic word "praga" or... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 13 regions (kraje, singular - kraj) and 1 capital city*... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 13.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | new civil code enacted in 2014, replacing civil code of... |
legal_system_numeric |
legal_system_numeric | float | 0% | 1 | 2014.0 |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1960; latest ratified 16 December 1992,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1960.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | passage requires at least three-fifths concurrence of... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
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 Czechia |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +91 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 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | At the close of World War I, the Czechs and Slovaks of... |
background_numeric |
background_numeric | float | 0% | 1 | 1948.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Czech (official) 88.4%, Slovak 1.5%, other 2.6%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 88.4 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | World Factbook, nepostradatelný zdroj základních... |
languages_note |
languages_note | string | 0% | 1 | note: includes only persons with one mother tongue |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | 392,198 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 392198.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 5 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 5.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 588 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 588.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | Czech Armed Forces: Land Forces, Air Force, Special Forces (2025) |
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% of GDP (2025 est.) |
military_expenditures_military_expenditures_2025_numeric |
Military expenditures 2025 (numeric) | float | 0% | 1 | 2.0 |
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 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
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 28,000 active-duty military personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 28000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Czech military has a mix of domestically produced,... |
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 | 18-28 years of age for voluntary military service for... |
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 | up to 130 Lithuania (NATO); 130 Slovakia (NATO) (2024) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 130.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Czech military is responsible for national and... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2009.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 10838703.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 5337128.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 5501575.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 15.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 63.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 20.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 56.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 24.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 32.2 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 44.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.02 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 9.56 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 11.82 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 2.02 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 74.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.2 |
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 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 3.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 2.5 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 78.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.73 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.84 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 4.35 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 6.6 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
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 | 10,838,703 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 5,337,128 |
population_female_text |
population_female_text | string | 0% | 1 | 5,501,575 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 15.7% (male 871,303/female 826,896) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 63.8% (male 3,542,298/female 3,373,127) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 20.5% (2024 est.) (male 922,136/female 1,302,130) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 56.5 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 24.3 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 32.2 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3.1 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.1 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 44.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 42.7 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 42.7 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 45.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 45.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.02% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 9.56 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 11.82 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 2.02 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 | 74.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.2% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.323 million PRAGUE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.323 |
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 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.05 |
| +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 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
Czech | string | CCL | 0% | - | Czech |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 7%, other believers belonging to a church... |
religions_numeric |
religions_numeric | float | 0% | 1 | 7.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 7.0 |
composition_religion_other_believers_belonging_to_a_church_or_religious_society_pct_synth |
other believers belonging to a church or religious society | numeric | 0% | - | 6.0 |
composition_religion_believers_unaffiliated_with_a_religious_society_pct_synth |
believers unaffiliated with a religious society | numeric | 0% | - | 9.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 47.8 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 30.1 |
composition_ethnicity_czech_pct_synth |
Czech | numeric | 0% | - | 57.3 |
composition_ethnicity_moravian_pct_synth |
Moravian | numeric | 0% | - | 3.4 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 7.7 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 31.6 |
composition_ethnicity_primary_share_pct_synth |
Czech | numeric | 0% | - | 57.3 |
| 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 | OK |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 252.0 |
country_code |
Country code | string | SEL | 0% | 1 | CZE |
country_name |
Country name | string | SEL | 0% | 1 | Czechia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 252 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 107 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 107.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 9,548 km (2020) 3,242 km electrified |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 9548.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/ez.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 12 | Prague, Brno, Ostrava, Pilsen, Liberec |
country_code |
Country code | string | SEL | 0% | 1 | CZE, CZE, CZE, CZE, CZE |
population |
Population count | integer | SEL | 0% | 12 | 1201278, 313582, 150766, 146255, 86841 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 12 | 560, 1194, 1404, 79, 833 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Czechia, Czechia, Czechia, Czechia, Czechia |
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% | 12 | balk1252, bava1246, carp1235, czec1253, czec1258 |
name |
Name | string | CCL | 0% | 12 | Balkan Romani, Bavarian, Central Romani, Czech Sign... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 12 | rmn, bar, rmc, cse, ces |
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, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 9 | roma1329, baye1239, roma1329, nucl1839, czec1260 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 11 | ['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% | 8 | 19, 12, 14, 0, 10 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 12 | 42.67, 47.9232, 48.1968, 50.012, 49.873398 |
longitude |
longitude | float | 0% | 12 | 21.17, 13.246, 20.3129, 14.4774, 15.10437 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
society_id |
Society id | string | CCL | 0% | 1 | Ch3 |
society_name |
Society name | string | CCL | 0% | 1 | Czechs |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | czec1258 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:0; EA004:3; EA005:7 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:7; EA007:8; EA008:6; EA009:1; EA010:10 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:5; EA029:6; EA030:7; EA031:8; EA032:2 |
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 | Czechia |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 50.0 |
longitude |
longitude | float | 0% | 1 | 16.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Czechs |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 0.972 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 31601000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | CZE |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 20 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 6.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 90 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 76 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 75 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 4.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 136 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 108 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.87 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.75 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 143 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 4.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 127 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.68 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.63 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 60 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CZE |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Czech (ces) | 512 | 58.7% | — |
| German (deu) | 175 | 20.1% | — |
| English (eng) | 157 | 18.0% | — |
| Polish (pol) | 11 | 1.3% | — |
| Romanian (ron) | 3 | 0.3% | — |
| Lower Sorbian (dsb) | 2 | 0.2% | — |
| Upper Sorbian (hsb) | 2 | 0.2% | — |
| Ukrainian (ukr) | 2 | 0.2% | — |
| + 5 further languages (8 names, each under 0.05%) | |||
18,799 distinct features ·
13 languages ·
0 scripts ·
2 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 |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| commercial | bulk_download | |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| 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.