| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
passenger_car_stock |
Passenger car stock | integer | SEL | 0% | - | 2827864 |
bus_stock |
Bus stock | integer | SEL | 0% | - | 10794 |
van_stock |
Van stock | integer | SEL | 0% | - | 356198 |
lorry_stock |
Lorry stock | integer | SEL | 0% | - | 27719 |
motorcycle_stock |
Motorcycle stock | integer | SEL | 0% | - | 170347 |
vehicle_stock_total |
Vehicle stock total | integer | SEL | 0% | - | 3392922 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
passenger_car_stock |
Passenger car stock | integer | SEL | 0% | - | 303384, 677841, 630670, 791128, 422929 |
bus_stock |
Bus stock | integer | SEL | 0% | - | 945, 2210, 1921, 4548, 1161 |
van_stock |
Van stock | integer | SEL | 0% | - | 40544, 74472, 64762, 131852, 44416 |
lorry_stock |
Lorry stock | integer | SEL | 0% | - | 4046, 5464, 5525, 9983, 2661 |
motorcycle_stock |
Motorcycle stock | integer | SEL | 0% | - | 20576, 42432, 41692, 36165, 29106 |
vehicle_stock_total |
Vehicle stock total | integer | SEL | 0% | - | 369495, 802419, 744570, 973676, 500273 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
passenger_car_stock |
Passenger car stock | integer | SEL | 0% | - | 170857, 25213, 20327, 55982, 6257 |
bus_stock |
Bus stock | integer | SEL | 0% | - | 828, 14, 30, 23, 4 |
van_stock |
Van stock | integer | SEL | 0% | - | 36256, 1255, 1444, 12704, 398 |
lorry_stock |
Lorry stock | integer | SEL | 0% | - | 4329, 33, 70, 776, 30 |
motorcycle_stock |
Motorcycle stock | integer | SEL | 0% | - | 8448, 1338, 1005, 734, 364 |
vehicle_stock_total |
Vehicle stock total | integer | SEL | 0% | - | 220718, 27853, 22876, 70219, 7053 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
car_stock_total |
Car stock total | integer | SEL | 0% | - | 2827864 |
car_petrol |
Car petrol | integer | SEL | 0% | - | 1796437 |
car_diesel |
Car diesel | integer | SEL | 0% | - | 708176 |
car_electric |
Car electric | integer | SEL | 0% | - | 200108 |
car_plugin_hybrid |
Car plugin hybrid | integer | SEL | 0% | - | 123000 |
car_other |
Car other | integer | SEL | 0% | - | 143 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
car_stock_total |
Car stock total | integer | SEL | 0% | - | 303384, 677841, 630670, 791128, 422929 |
car_petrol |
Car petrol | integer | SEL | 0% | - | 182905, 418253, 402523, 514509, 276966 |
car_diesel |
Car diesel | integer | SEL | 0% | - | 93647, 191897, 170285, 146051, 105783 |
car_electric |
Car electric | integer | SEL | 0% | - | 15719, 42800, 34561, 81679, 25284 |
car_plugin_hybrid |
Car plugin hybrid | integer | SEL | 0% | - | 11103, 24855, 23262, 48837, 14891 |
car_other |
Car other | integer | SEL | 0% | - | 10, 36, 39, 52, 5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
car_stock_total |
Car stock total | integer | SEL | 0% | - | 170857, 25213, 20327, 55982, 6257 |
car_petrol |
Car petrol | integer | SEL | 0% | - | 105085, 18883, 14734, 33870, 4391 |
car_diesel |
Car diesel | integer | SEL | 0% | - | 36136, 3559, 3318, 7901, 944 |
car_electric |
Car electric | integer | SEL | 0% | - | 19817, 1793, 1344, 8558, 633 |
car_plugin_hybrid |
Car plugin hybrid | integer | SEL | 0% | - | 9809, 977, 930, 5653, 289 |
car_other |
Car other | integer | SEL | 0% | - | 10, 1, 1, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
families_total |
Families total | integer | SEL | 0% | - | 3188995 |
families_without_car |
Families without car | integer | SEL | 0% | - | 1160908 |
families_with_car |
Families with car | integer | SEL | 0% | - | 2028087 |
families_with_1_car |
Families with 1 car | integer | SEL | 0% | - | 1425491 |
families_with_2_cars |
Families with 2 cars | integer | SEL | 0% | - | 510450 |
families_with_3_cars |
Families with 3 cars | integer | SEL | 0% | - | 74179 |
families_with_4plus_cars |
Families with 4+ cars | integer | SEL | 0% | - | 17967 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
families_total |
Families total | integer | SEL | 0% | - | 316457, 713643, 652817, 1053239, 452839 |
families_without_car |
Families without car | integer | SEL | 0% | - | 96580, 227552, 190796, 514467, 131513 |
families_with_car |
Families with car | integer | SEL | 0% | - | 219877, 486091, 462021, 538772, 321326 |
families_with_1_car |
Families with 1 car | integer | SEL | 0% | - | 152051, 330189, 315267, 409995, 217989 |
families_with_2_cars |
Families with 2 cars | integer | SEL | 0% | - | 57377, 132396, 123951, 110353, 86373 |
families_with_3_cars |
Families with 3 cars | integer | SEL | 0% | - | 8434, 18989, 18265, 14981, 13510 |
families_with_4plus_cars |
Families with 4+ cars | integer | SEL | 0% | - | 2015, 4517, 4538, 3443, 3454 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
families_total |
Families total | integer | SEL | 0% | - | 404417, 62691, 26624, 20764, 6805 |
families_without_car |
Families without car | integer | SEL | 0% | - | 277227, 37510, 10170, 9222, 1608 |
families_with_car |
Families with car | integer | SEL | 0% | - | 127190, 25181, 16454, 11542, 5197 |
families_with_1_car |
Families with 1 car | integer | SEL | 0% | - | 113616, 22093, 12610, 8811, 3520 |
families_with_2_cars |
Families with 2 cars | integer | SEL | 0% | - | 12028, 2730, 3401, 2322, 1458 |
families_with_3_cars |
Families with 3 cars | integer | SEL | 0% | - | 1292, 295, 368, 343, 175 |
families_with_4plus_cars |
Families with 4+ cars | integer | SEL | 0% | - | 254, 63, 75, 66, 44 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
residential_building_count |
Residential building count | integer | SEL | 0% | - | 1642476 |
nonresidential_building_count |
Nonresidential building count | integer | SEL | 0% | - | 3227655 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
buildings_farm_houses |
buildings_farm_houses | integer | 0% | - | 107722 |
buildings_detached_houses |
buildings_detached_houses | integer | 0% | - | 1138098 |
buildings_terraced_houses |
buildings_terraced_houses | integer | 0% | - | 279901 |
buildings_multi_dwelling |
buildings_multi_dwelling | integer | 0% | - | 100488 |
buildings_student_hostels |
buildings_student_hostels | integer | 0% | - | 2266 |
buildings_community_residential |
buildings_community_residential | integer | 0% | - | 5138 |
buildings_other_residential |
buildings_other_residential | integer | 0% | - | 8863 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
residential_building_count |
Residential building count | integer | SEL | 0% | - | 207011, 422116, 421381, 312402, 279566 |
nonresidential_building_count |
Nonresidential building count | integer | SEL | 0% | - | 447621, 799654, 795958, 546021, 638401 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
buildings_farm_houses |
buildings_farm_houses | integer | 0% | - | 20753, 32080, 29771, 6104, 19014 |
buildings_detached_houses |
buildings_detached_houses | integer | 0% | - | 150739, 294341, 299422, 190608, 202988 |
buildings_terraced_houses |
buildings_terraced_houses | integer | 0% | - | 23199, 69024, 64978, 80176, 42524 |
buildings_multi_dwelling |
buildings_multi_dwelling | integer | 0% | - | 10015, 22838, 23538, 32375, 11722 |
buildings_student_hostels |
buildings_student_hostels | integer | 0% | - | 167, 608, 573, 694, 224 |
buildings_community_residential |
buildings_community_residential | integer | 0% | - | 731, 1248, 1127, 992, 1040 |
buildings_other_residential |
buildings_other_residential | integer | 0% | - | 1407, 1977, 1972, 1453, 2054 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
residential_building_count |
Residential building count | integer | SEL | 0% | - | 37278, 4458, 9225, 5298, 4710 |
nonresidential_building_count |
Nonresidential building count | integer | SEL | 0% | - | 55124, 5327, 19263, 8393, 7730 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
buildings_farm_houses |
buildings_farm_houses | integer | 0% | - | 0, 0, 10, 1, 56 |
buildings_detached_houses |
buildings_detached_houses | integer | 0% | - | 15135, 1011, 6493, 3365, 3144 |
buildings_terraced_houses |
buildings_terraced_houses | integer | 0% | - | 6551, 562, 2156, 1526, 1320 |
buildings_multi_dwelling |
buildings_multi_dwelling | integer | 0% | - | 15218, 2819, 515, 359, 136 |
buildings_student_hostels |
buildings_student_hostels | integer | 0% | - | 189, 35, 11, 5, 0 |
buildings_community_residential |
buildings_community_residential | integer | 0% | - | 141, 25, 29, 38, 8 |
buildings_other_residential |
buildings_other_residential | integer | 0% | - | 44, 6, 11, 4, 46 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | 000 |
region_name |
region name | string | SEL | 0% | - | All Denmark |
admin_level |
admin level | string | SEL | 0% | - | admin_0 |
population_total |
population total | integer | SEL | 0% | - | 5961249 |
population_men |
population men | integer | SEL | 0% | - | 2963691 |
population_women |
population women | integer | SEL | 0% | - | 2997558 |
church_of_denmark_members |
Church of denmark members | integer | CCL | 0% | - | 4253575 |
non_church_members |
Non church members | integer | CCL | 0% | - | 1707674 |
church_of_denmark_membership_pct |
Church of denmark membership percent | integer | CCL | 0% | - | 71.35 |
life_expectancy |
Life expectancy | integer | SEL | 0% | - | 82.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | 084, 085, 083, 082, 081 |
region_name |
region name | string | SEL | 0% | - | Region Hovedstaden, Region Sjælland, Region Syddanmark,... |
admin_level |
admin level | string | SEL | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
population_total |
population total | integer | SEL | 0% | - | 1911067, 852953, 1238406, 1365688, 593135 |
population_men |
population men | integer | SEL | 0% | - | 938824, 425027, 619072, 681625, 299143 |
population_women |
population women | integer | SEL | 0% | - | 972243, 427926, 619334, 684063, 293992 |
life_expectancy |
Life expectancy | integer | SEL | 0% | - | 82.5, 81.5, 81.9, 82.6, 81.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
region code | string | SEL | 0% | - | 101, 147, 155, 185, 165 |
region_name |
region name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Dragør, Tårnby, Albertslund |
admin_level |
admin level | string | SEL | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
population_total |
population total | integer | SEL | 0% | - | 659350, 104899, 14569, 43915, 27677 |
population_men |
population men | integer | SEL | 0% | - | 324666, 49763, 7138, 21775, 13695 |
population_women |
population women | integer | SEL | 0% | - | 334684, 55136, 7431, 22140, 13982 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
pop_edu_primary |
Pop basic education | integer | SEL | 0% | - | 938039 |
pop_edu_upper_secondary |
Pop upper secondary | integer | SEL | 0% | - | 463884 |
pop_edu_tertiary_total |
Pop higher education | integer | SEL | 0% | - | 1518610 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
pop_edu_vocational |
pop_edu_vocational | integer | 0% | - | 1120906 |
pop_edu_qualifying |
pop_edu_qualifying | integer | 0% | - | 2077 |
pop_edu_short_tertiary |
pop_edu_short_tertiary | integer | 0% | - | 223235 |
pop_edu_vocational_bachelor |
pop_edu_vocational_bachelor | integer | 0% | - | 648744 |
pop_edu_bachelor |
pop_edu_bachelor | integer | 0% | - | 142432 |
pop_edu_master_phd |
pop_edu_master_phd | integer | 0% | - | 504199 |
pop_edu_unknown |
pop_edu_unknown | integer | 0% | - | 46133 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
pop_edu_primary |
Pop basic education | integer | SEL | 0% | - | 99715, 215405, 213214, 257586, 152119 |
pop_edu_upper_secondary |
Pop upper secondary | integer | SEL | 0% | - | 39536, 110474, 80590, 181901, 51383 |
pop_edu_tertiary_total |
Pop higher education | integer | SEL | 0% | - | 125076, 332611, 265756, 627133, 168034 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
pop_edu_vocational |
pop_edu_vocational | integer | 0% | - | 131334, 269684, 265803, 262212, 191873 |
pop_edu_qualifying |
pop_edu_qualifying | integer | 0% | - | 394, 760, 435, 371, 117 |
pop_edu_short_tertiary |
pop_edu_short_tertiary | integer | 0% | - | 20213, 54056, 45884, 71580, 31502 |
pop_edu_vocational_bachelor |
pop_edu_vocational_bachelor | integer | 0% | - | 60935, 155800, 136441, 209602, 85966 |
pop_edu_bachelor |
pop_edu_bachelor | integer | 0% | - | 10199, 26486, 19052, 77307, 9388 |
pop_edu_master_phd |
pop_edu_master_phd | integer | 0% | - | 33729, 96269, 64379, 268644, 41178 |
pop_edu_unknown |
pop_edu_unknown | integer | 0% | - | 4094, 8331, 8947, 18018, 6743 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
pop_edu_primary |
Pop basic education | integer | SEL | 0% | - | 74817, 10180, 8524, 8056, 1760 |
pop_edu_upper_secondary |
Pop upper secondary | integer | SEL | 0% | - | 84006, 11883, 3848, 3304, 1051 |
pop_edu_tertiary_total |
Pop higher education | integer | SEL | 0% | - | 280574, 43615, 12742, 8771, 3692 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
pop_edu_vocational |
pop_edu_vocational | integer | 0% | - | 63624, 8921, 9468, 7299, 2195 |
pop_edu_qualifying |
pop_edu_qualifying | integer | 0% | - | 135, 18, 14, 9, 0 |
pop_edu_short_tertiary |
pop_edu_short_tertiary | integer | 0% | - | 24324, 3327, 1973, 1687, 584 |
pop_edu_vocational_bachelor |
pop_edu_vocational_bachelor | integer | 0% | - | 78342, 11366, 5422, 3809, 1447 |
pop_edu_bachelor |
pop_edu_bachelor | integer | 0% | - | 46272, 6601, 1027, 1035, 198 |
pop_edu_master_phd |
pop_edu_master_phd | integer | 0% | - | 131636, 22321, 4320, 2240, 1463 |
pop_edu_unknown |
pop_edu_unknown | integer | 0% | - | 7531, 760, 458, 553, 81 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
road_casualties_total |
Road casualties total | integer | SEL | 0% | - | 2519 |
road_casualties_killed |
Road casualties killed | integer | SEL | 0% | - | 145 |
road_casualties_serious |
Road casualties serious | integer | SEL | 0% | - | 1526 |
road_casualties_slight |
Road casualties slight | integer | SEL | 0% | - | 848 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
road_casualties_total |
Road casualties total | integer | SEL | 0% | - | 334, 649, 493, 650, 393 |
road_casualties_killed |
Road casualties killed | integer | SEL | 0% | - | 19, 41, 38, 24, 23 |
road_casualties_serious |
Road casualties serious | integer | SEL | 0% | - | 173, 346, 303, 418, 286 |
road_casualties_slight |
Road casualties slight | integer | SEL | 0% | - | 142, 262, 152, 208, 84 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
road_casualties_total |
Road casualties total | integer | SEL | 0% | - | 287, 50, 8, 12, 5 |
road_casualties_killed |
Road casualties killed | integer | SEL | 0% | - | 1, 1, 0, 2, 0 |
road_casualties_serious |
Road casualties serious | integer | SEL | 0% | - | 180, 33, 7, 8, 3 |
road_casualties_slight |
Road casualties slight | integer | SEL | 0% | - | 106, 16, 1, 2, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
road_accidents_total |
Road accidents total | integer | SEL | 0% | - | 2217 |
road_accidents_urban |
Road accidents urban | integer | SEL | 0% | - | 1355 |
road_accidents_rural |
Road accidents rural | integer | SEL | 0% | - | 862 |
road_accidents_alcohol |
Road accidents alcohol | integer | SEL | 0% | - | 223 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
road_accidents_total |
Road accidents total | integer | SEL | 0% | - | 279, 540, 435, 604, 359 |
road_accidents_urban |
Road accidents urban | integer | SEL | 0% | - | 141, 291, 224, 519, 180 |
road_accidents_rural |
Road accidents rural | integer | SEL | 0% | - | 138, 249, 211, 85, 179 |
road_accidents_alcohol |
Road accidents alcohol | integer | SEL | 0% | - | 36, 44, 48, 47, 48 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
road_accidents_total |
Road accidents total | integer | SEL | 0% | - | 275, 47, 8, 11, 3 |
road_accidents_urban |
Road accidents urban | integer | SEL | 0% | - | 274, 47, 7, 5, 2 |
road_accidents_rural |
Road accidents rural | integer | SEL | 0% | - | 1, 0, 1, 6, 1 |
road_accidents_alcohol |
Road accidents alcohol | integer | SEL | 0% | - | 19, 2, 1, 0, 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
library_count |
Library count | integer | SEL | 0% | - | 562 |
library_active_borrowers |
Library active borrowers | integer | SEL | 0% | - | 1947 |
library_visitors |
Library visitors | integer | SEL | 0% | - | 32478 |
library_events |
Library events | integer | SEL | 0% | - | 33836 |
library_website_visits |
Library website visits | integer | SEL | 0% | - | 21875 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
library_count |
Library count | integer | SEL | 0% | - | 66, 138, 152, 109, 97 |
library_active_borrowers |
Library active borrowers | integer | SEL | 0% | - | 174, 411, 372, 734, 256 |
library_visitors |
Library visitors | integer | SEL | 0% | - | 2835, 6789, 6183, 12645, 4027 |
library_events |
Library events | integer | SEL | 0% | - | 3069, 7611, 6258, 11953, 4945 |
library_website_visits |
Library website visits | integer | SEL | 0% | - | 1395, 5343, 4329, 7123, 3686 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
library_count |
Library count | integer | SEL | 0% | - | 21, 5, 3, 3, 1 |
library_active_borrowers |
Library active borrowers | integer | SEL | 0% | - | 234, 52, 22, 10, 5 |
library_visitors |
Library visitors | integer | SEL | 0% | - | 4166, 533, 380, 270, 61 |
library_events |
Library events | integer | SEL | 0% | - | 3700, 213, 905, 237, 68 |
library_website_visits |
Library website visits | integer | SEL | 0% | - | 2251, 503, 226, 78, 41 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
library_collection_stock |
Library collection stock | integer | SEL | 0% | - | 14011575 |
library_loans |
Library loans | integer | SEL | 0% | - | 25875496 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
library_collection_stock |
Library collection stock | integer | SEL | 0% | - | 1173781, 2885290, 3410015, 4468087, 2074402 |
library_loans |
Library loans | integer | SEL | 0% | - | 2318912, 5755252, 5130408, 9348529, 3322395 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
library_collection_stock |
Library collection stock | integer | SEL | 0% | - | 879302, 163679, 127784, 83585, 32732 |
library_loans |
Library loans | integer | SEL | 0% | - | 2802617, 393821, 249361, 111646, 52992 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
cultivated_crop_area_hectares |
Cultivated crop area hectares | float | SEL | 0% | - | 2604725.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
crop_area_cereals_ha |
crop_area_cereals_ha | float | 0% | - | 1255579.0 |
crop_area_root_crops_ha |
crop_area_root_crops_ha | float | 0% | - | 101848.0 |
crop_area_industrial_ha |
crop_area_industrial_ha | float | 0% | - | 187169.0 |
crop_area_grass_fodder_ha |
crop_area_grass_fodder_ha | float | 0% | - | 478139.0 |
crop_area_horticultural_ha |
crop_area_horticultural_ha | float | 0% | - | 16674.0 |
crop_area_permanent_grassland_ha |
crop_area_permanent_grassland_ha | float | 0% | - | 221916.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
cultivated_crop_area_hectares |
Cultivated crop area hectares | float | SEL | 0% | - | 498165.0, 764296.0, 788936.0, 91535.0, 461793.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
crop_area_cereals_ha |
crop_area_cereals_ha | float | 0% | - | 224713.0, 364939.0, 364236.0, 43833.0, 257857.0 |
crop_area_root_crops_ha |
crop_area_root_crops_ha | float | 0% | - | 16542.0, 30953.0, 19147.0, 619.0, 34587.0 |
crop_area_industrial_ha |
crop_area_industrial_ha | float | 0% | - | 34273.0, 48844.0, 50992.0, 6451.0, 46608.0 |
crop_area_grass_fodder_ha |
crop_area_grass_fodder_ha | float | 0% | - | 111107.0, 148725.0, 185855.0, 11480.0, 20972.0 |
crop_area_horticultural_ha |
crop_area_horticultural_ha | float | 0% | - | 1186.0, 5516.0, 6218.0, 909.0, 2844.0 |
crop_area_permanent_grassland_ha |
crop_area_permanent_grassland_ha | float | 0% | - | 48071.0, 66352.0, 62985.0, 16352.0, 28155.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
land_area_total_sqkm |
Land area total sqkm | float | SEL | 0% | - | 42925.5 |
land_area_agriculture_sqkm |
Land area agriculture sqkm | float | SEL | 0% | - | 31140.6 |
land_area_forestry_sqkm |
Land area forestry sqkm | float | SEL | 0% | - | 4085.5 |
land_area_residential_sqkm |
Land area residential sqkm | float | SEL | 0% | - | 2403.3 |
land_area_recreational_sqkm |
Land area recreational sqkm | float | SEL | 0% | - | 789.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2016 |
vintage_year |
vintage_year | float | 0% | - | 2016 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
land_area_total_sqkm |
Land area total sqkm | float | SEL | 0% | - | 7879.3, 13006.6, 12256.4, 2559.2, 7224.0 |
land_area_agriculture_sqkm |
Land area agriculture sqkm | float | SEL | 0% | - | 5847.6, 9520.9, 9241.3, 1206.7, 5324.1 |
land_area_forestry_sqkm |
Land area forestry sqkm | float | SEL | 0% | - | 640.2, 1396.1, 960.7, 327.8, 760.7 |
land_area_residential_sqkm |
Land area residential sqkm | float | SEL | 0% | - | 372.1, 638.1, 642.0, 324.1, 426.9 |
land_area_recreational_sqkm |
Land area recreational sqkm | float | SEL | 0% | - | 172.7, 192.3, 132.8, 151.2, 140.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2016, 2016, 2016, 2016, 2016 |
vintage_year |
vintage_year | float | 0% | - | 2016, 2016, 2016, 2016, 2016 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
farm_count |
Farm count | integer | SEL | 0% | - | 28235 |
agricultural_area_hectares |
Agricultural area hectares | integer | SEL | 0% | - | 2604725.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
farm_count |
Farm count | integer | SEL | 0% | - | 5620, 8299, 7933, 1788, 4595 |
agricultural_area_hectares |
Agricultural area hectares | integer | SEL | 0% | - | 498165.0, 764296.0, 788936.0, 91535.0, 461793.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
cinema_count |
Cinema count | integer | SEL | 0% | - | 168 |
cinema_screen_count |
Cinema screen count | integer | SEL | 0% | - | 492 |
cinema_seats |
Cinema seats | integer | SEL | 0% | - | 54514 |
cinema_tickets_sold |
Cinema tickets sold | integer | SEL | 0% | - | 9400 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
cinema_count |
Cinema count | integer | SEL | 0% | - | 21, 30, 36, 51, 29 |
cinema_screen_count |
Cinema screen count | integer | SEL | 0% | - | 51, 98, 92, 180, 70 |
cinema_seats |
Cinema seats | integer | SEL | 0% | - | 4734, 11184, 9570, 21551, 7435 |
cinema_tickets_sold |
Cinema tickets sold | integer | SEL | 0% | - | 791, 1933, 1723, 3791, 1160 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
enterprises_new_count |
Enterprises new count | integer | SEL | 0% | - | 29076 |
enterprises_terminated_count |
Enterprises terminated count | integer | SEL | 0% | - | 42319 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
enterprise_employees_fte |
enterprise_employees_fte | integer | 0% | - | 7956 |
enterprise_turnover_dkk_m |
enterprise_turnover_dkk_m | integer | 0% | - | 24803.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
enterprises_new_count |
Enterprises new count | integer | SEL | 0% | - | 2512, 6176, 5059, 11547, 3782 |
enterprises_terminated_count |
Enterprises terminated count | integer | SEL | 0% | - | 4103, 9241, 7817, 15443, 5715 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
enterprise_employees_fte |
enterprise_employees_fte | integer | 0% | - | 579, 1404, 1294, 3732, 948 |
enterprise_turnover_dkk_m |
enterprise_turnover_dkk_m | integer | 0% | - | 2075.0, 5705.0, 4099.0, 10107.0, 2816.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark (average household) |
household_consumption_local |
Household consumption local | float | SEL | 0% | - | 377034.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
consumption_food_nonalc_bev_local |
consumption_food_nonalc_bev_local | float | 0% | - | 41851.0 |
consumption_alcohol_tobacco_local |
consumption_alcohol_tobacco_local | float | 0% | - | 6686.0 |
consumption_clothing_footwear_local |
consumption_clothing_footwear_local | float | 0% | - | 12066.0 |
consumption_housing_utilities_local |
consumption_housing_utilities_local | float | 0% | - | 121629.0 |
consumption_furnishings_household_local |
consumption_furnishings_household_local | float | 0% | - | 18222.0 |
consumption_health_local |
consumption_health_local | float | 0% | - | 10666.0 |
consumption_transport_local |
consumption_transport_local | float | 0% | - | 53360.0 |
consumption_information_communication_local |
consumption_information_communication_local | float | 0% | - | 14868.0 |
consumption_recreation_culture_local |
consumption_recreation_culture_local | float | 0% | - | 31193.0 |
consumption_education_local |
consumption_education_local | float | 0% | - | 2393.0 |
consumption_restaurants_accommodation_local |
consumption_restaurants_accommodation_local | float | 0% | - | 27661.0 |
consumption_insurance_finance_local |
consumption_insurance_finance_local | float | 0% | - | 22281.0 |
consumption_personal_care_misc_local |
consumption_personal_care_misc_local | float | 0% | - | 14159.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
household_consumption_local |
Household consumption local | float | SEL | 0% | - | 325453.0, 347659.0, 363661.0, 424432.0, 374396.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
consumption_food_nonalc_bev_local |
consumption_food_nonalc_bev_local | float | 0% | - | 37931.0, 39450.0, 41982.0, 43905.0, 43794.0 |
consumption_alcohol_tobacco_local |
consumption_alcohol_tobacco_local | float | 0% | - | 5105.0, 5744.0, 5965.0, 7906.0, 7668.0 |
consumption_clothing_footwear_local |
consumption_clothing_footwear_local | float | 0% | - | 11941.0, 8688.0, 12476.0, 15247.0, 9875.0 |
consumption_housing_utilities_local |
consumption_housing_utilities_local | float | 0% | - | 99201.0, 111680.0, 107911.0, 143973.0, 123500.0 |
consumption_furnishings_household_local |
consumption_furnishings_household_local | float | 0% | - | 18505.0, 14714.0, 15715.0, 21899.0, 19136.0 |
consumption_health_local |
consumption_health_local | float | 0% | - | 8360.0, 9920.0, 10784.0, 11091.0, 12435.0 |
consumption_transport_local |
consumption_transport_local | float | 0% | - | 51725.0, 58730.0, 57418.0, 49981.0, 47331.0 |
consumption_information_communication_local |
consumption_information_communication_local | float | 0% | - | 13877.0, 13602.0, 14389.0, 15937.0, 15956.0 |
consumption_recreation_culture_local |
consumption_recreation_culture_local | float | 0% | - | 20949.0, 24141.0, 34143.0, 38696.0, 28784.0 |
consumption_education_local |
consumption_education_local | float | 0% | - | 2106.0, 2080.0, 1818.0, 3214.0, 2085.0 |
consumption_restaurants_accommodation_local |
consumption_restaurants_accommodation_local | float | 0% | - | 21751.0, 23745.0, 24033.0, 36527.0, 23482.0 |
consumption_insurance_finance_local |
consumption_insurance_finance_local | float | 0% | - | 22093.0, 22162.0, 23471.0, 20089.0, 25891.0 |
consumption_personal_care_misc_local |
consumption_personal_care_misc_local | float | 0% | - | 11908.0, 13002.0, 13557.0, 15967.0, 14459.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
enterprise_count |
Enterprise count | integer | SEL | 0% | - | 414663 |
enterprise_employees_fte |
Enterprise employees fte | integer | SEL | 0% | - | 2485835 |
enterprise_turnover_dkk_m |
Enterprise turnover dkk m | integer | SEL | 0% | - | 5720521.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
enterprise_count |
Enterprise count | integer | SEL | 0% | - | 40250, 95186, 80137, 143903, 55187 |
enterprise_employees_fte |
Enterprise employees fte | integer | SEL | 0% | - | 226282, 545420, 437355, 1042361, 234417 |
enterprise_turnover_dkk_m |
Enterprise turnover dkk m | integer | SEL | 0% | - | 377805.0, 1420558.0, 989063.0, 2560950.0, 372145.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
hotel_count |
Hotel count | integer | SEL | 0% | - | 722 |
hotel_room_count |
Hotel room count | integer | SEL | 0% | - | 67395 |
hotel_bed_count |
Hotel bed count | integer | SEL | 0% | - | 163194 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
hotel_count_min |
hotel_count_min | integer | 0% | - | 622 |
hotel_room_count_min |
hotel_room_count_min | integer | 0% | - | 62202 |
hotel_bed_count_min |
hotel_bed_count_min | integer | 0% | - | 149234 |
hotel_room_utilisation_pct |
hotel_room_utilisation_pct | float | 0% | - | 59.0 |
hotel_bed_utilisation_pct |
hotel_bed_utilisation_pct | float | 0% | - | 43.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
hotel_count |
Hotel count | integer | SEL | 0% | - | 109, 134, 184, 224, 75 |
hotel_room_count |
Hotel room count | integer | SEL | 0% | - | 7546, 9976, 13897, 31193, 4838 |
hotel_bed_count |
Hotel bed count | integer | SEL | 0% | - | 23163, 23322, 38055, 65703, 13044 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
hotel_count_min |
hotel_count_min | integer | 0% | - | 90, 121, 164, 180, 67 |
hotel_room_count_min |
hotel_room_count_min | integer | 0% | - | 6724, 9376, 12929, 28818, 4355 |
hotel_bed_count_min |
hotel_bed_count_min | integer | 0% | - | 20539, 22028, 34941, 59714, 11332 |
hotel_room_utilisation_pct |
hotel_room_utilisation_pct | float | 0% | - | 48.0, 51.0, 56.0, 68.0, 48.0 |
hotel_bed_utilisation_pct |
hotel_bed_utilisation_pct | float | 0% | - | 33.0, 38.0, 40.0, 52.0, 37.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
protected_building_count |
Protected building count | integer | SEL | 0% | - | 6848 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
protected_building_count |
Protected building count | integer | SEL | 0% | - | 331, 760, 1942, 2905, 910 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
protected_monument_count |
Protected monument count | integer | SEL | 0% | - | 35148 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
protected_monument_count |
Protected monument count | integer | SEL | 0% | - | 7649, 10135, 7074, 4042, 6248 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
museum_count |
Museum count | integer | SEL | 0% | - | 397 |
museum_visits |
Museum visits | integer | SEL | 0% | - | 17490651 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
museum_count |
Museum count | integer | SEL | 0% | - | 57, 82, 100, 99, 59 |
museum_visits |
Museum visits | integer | SEL | 0% | - | 1178189, 3418101, 3070496, 8503949, 1319916 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
gross_domestic_product_local |
Gross domestic product local | float | SEL | 0% | - | 2926878.0 |
gdp_per_capita_local |
Gdp per capita local | float | SEL | 0% | - | 490.0 |
gross_value_added_local |
Gross value added local | float | SEL | 0% | - | 2593770.0 |
output_local |
Output local | float | SEL | 0% | - | 5326389.0 |
compensation_of_employees_local |
Compensation of employees local | float | SEL | 0% | - | 1504820.0 |
gross_operating_surplus_local |
Gross operating surplus local | float | SEL | 0% | - | 1059344.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
gross_domestic_product_local |
Gross domestic product local | float | SEL | 0% | - | 227885.0, 571121.0, 513334.0, 1298866.0, 296129.0 |
gdp_per_capita_local |
Gdp per capita local | float | SEL | 0% | - | 384.0, 417.0, 414.0, 676.0, 347.0 |
gross_value_added_local |
Gross value added local | float | SEL | 0% | - | 201949.0, 506121.0, 454911.0, 1151042.0, 262427.0 |
output_local |
Output local | float | SEL | 0% | - | 425262.0, 1075922.0, 963579.0, 2307520.0, 510758.0 |
compensation_of_employees_local |
Compensation of employees local | float | SEL | 0% | - | 126662.0, 318445.0, 283395.0, 621505.0, 148994.0 |
gross_operating_surplus_local |
Gross operating surplus local | float | SEL | 0% | - | 71734.0, 183773.0, 164311.0, 518745.0, 109610.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
gross_disposable_income_local |
Gross disposable income local | float | SEL | 0% | - | 1345644.8 |
gross_primary_income_local |
Gross primary income local | float | SEL | 0% | - | 1832404.3 |
compensation_of_employees_local |
Compensation of employees local | float | SEL | 0% | - | 1481874.6 |
social_benefits_received_local |
Social benefits received local | float | SEL | 0% | - | 490277.6 |
income_taxes_paid_local |
Income taxes paid local | float | SEL | 0% | - | 777217.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
gross_disposable_income_local |
Gross disposable income local | float | SEL | 0% | - | 128100.4, 299449.3, 265167.2, 464413.2, 188514.7 |
gross_primary_income_local |
Gross primary income local | float | SEL | 0% | - | 161256.1, 396268.2, 340868.3, 688300.8, 245710.8 |
compensation_of_employees_local |
Compensation of employees local | float | SEL | 0% | - | 128505.1, 318492.6, 275488.8, 557037.0, 202351.2 |
social_benefits_received_local |
Social benefits received local | float | SEL | 0% | - | 52315.2, 112145.6, 107959.8, 141297.0, 76560.0 |
income_taxes_paid_local |
Income taxes paid local | float | SEL | 0% | - | 67734.0, 165229.2, 146222.0, 291765.0, 106267.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
forest_area_sqkm |
Forest area sqkm | float | SEL | 0% | - | 6666.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2023 |
vintage_year |
vintage_year | float | 0% | - | 2023 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
forest_area_sqkm |
Forest area sqkm | float | SEL | 0% | - | 1221.2, 2422.1, 1509.6, 511.5, 1002.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2023, 2023, 2023, 2023, 2023 |
vintage_year |
vintage_year | float | 0% | - | 2023, 2023, 2023, 2023, 2023 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
growing_stock_volume_1000_m3 |
Growing stock volume 1000 m3 | float | SEL | 0% | - | 149719.0 |
growing_stock_broadleaf_1000_m3 |
Growing stock broadleaf 1000 m3 | float | SEL | 0% | - | 89392.0 |
growing_stock_conifer_1000_m3 |
Growing stock conifer 1000 m3 | float | SEL | 0% | - | 60327.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2023 |
vintage_year |
vintage_year | float | 0% | - | 2023 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
growing_stock_volume_1000_m3 |
Growing stock volume 1000 m3 | float | SEL | 0% | - | 23794.0, 51668.0, 28844.0, 14337.0, 31076.0 |
growing_stock_broadleaf_1000_m3 |
Growing stock broadleaf 1000 m3 | float | SEL | 0% | - | 11361.0, 23801.0, 18808.0, 10590.0, 24832.0 |
growing_stock_conifer_1000_m3 |
Growing stock conifer 1000 m3 | float | SEL | 0% | - | 12433.0, 27867.0, 10036.0, 3747.0, 6244.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2023, 2023, 2023, 2023, 2023 |
vintage_year |
vintage_year | float | 0% | - | 2023, 2023, 2023, 2023, 2023 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
tourism_overnight_stays |
Tourism overnight stays | integer | SEL | 0% | - | 1123809 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024 |
tourism_nights_domestic |
tourism_nights_domestic | integer | 0% | - | 747892 |
tourism_nights_foreign |
tourism_nights_foreign | integer | 0% | - | 375917 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
tourism_overnight_stays |
Tourism overnight stays | integer | SEL | 0% | - | 134547, 185755, 440754, 176435, 186318 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | integer | 0% | - | 2024, 2024, 2024, 2024, 2024 |
tourism_nights_domestic |
tourism_nights_domestic | integer | 0% | - | 95184, 139224, 299639, 91007, 122838 |
tourism_nights_foreign |
tourism_nights_foreign | integer | 0% | - | 39363, 46531, 141115, 85428, 63480 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
water_abstraction_total_mln_m3 |
Water abstraction total mln m3 | float | SEL | 0% | - | 815.0 |
water_abstraction_groundwater_mln_m3 |
Water abstraction groundwater mln m3 | float | SEL | 0% | - | 578.5 |
water_abstraction_surface_mln_m3 |
Water abstraction surface mln m3 | float | SEL | 0% | - | 236.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
water_abstraction_total_mln_m3 |
Water abstraction total mln m3 | float | SEL | 0% | - | 94.2, 293.6, 245.6, 84.0, 97.5 |
water_abstraction_groundwater_mln_m3 |
Water abstraction groundwater mln m3 | float | SEL | 0% | - | 75.5, 180.1, 152.1, 83.2, 87.8 |
water_abstraction_surface_mln_m3 |
Water abstraction surface mln m3 | float | SEL | 0% | - | 18.8, 113.5, 93.6, 0.8, 9.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
wastewater_discharge_1000_m3 |
Wastewater discharge 1000 m3 | float | SEL | 0% | - | 1304126.0 |
nitrogen_discharge_tonnes |
Nitrogen discharge tonnes | float | SEL | 0% | - | 6817.0 |
phosphorus_discharge_tonnes |
Phosphorus discharge tonnes | float | SEL | 0% | - | 736.0 |
organic_matter_discharge_tonnes_bod5 |
Organic matter discharge tonnes bod5 | float | SEL | 0% | - | 10250.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK |
admin_level |
admin_level | string | 0% | - | admin_0 |
period |
period | string | 0% | - | 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
wastewater_discharge_1000_m3 |
Wastewater discharge 1000 m3 | float | SEL | 0% | - | 141477.0, 332942.0, 363544.0, 280153.0, 186013.0 |
nitrogen_discharge_tonnes |
Nitrogen discharge tonnes | float | SEL | 0% | - | 778.0, 1685.0, 1717.0, 1565.0, 1073.0 |
phosphorus_discharge_tonnes |
Phosphorus discharge tonnes | float | SEL | 0% | - | 86.0, 145.0, 199.0, 178.0, 128.0 |
organic_matter_discharge_tonnes_bod5 |
Organic matter discharge tonnes bod5 | float | SEL | 0% | - | 1219.0, 2324.0, 2493.0, 2013.0, 2201.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
vintage_year |
vintage_year | float | 0% | - | 2024, 2024, 2024, 2024, 2024 |
ⓘ 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 | DNK, DNK, DNK, DNK, DNK |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Denmark, Hovedstaden, Midtjylland, Nordjylland, Sjaelland |
human_development_index |
Human development index | float | SEL | 0% | 65 | 0.849, 0.866, 0.852, 0.838, 0.827 |
health_index |
Health index | float | SEL | 0% | 53 | 0.844, 0.841, 0.851, 0.845, 0.832 |
education_index |
Education index | float | SEL | 0% | 78 | 0.795, 0.814, 0.802, 0.777, 0.784 |
income_index |
Income index | float | SEL | 0% | 68 | 0.913, 0.948, 0.906, 0.895, 0.865 |
life_expectancy |
Life expectancy | float | SEL | 0% | 95 | 74.87, 74.67, 75.33, 74.95, 74.09 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 84 | 11.93, 12.71, 11.91, 11.47, 11.74 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 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 | DK, DK, DK, DK, DK |
population_count |
Population count | float | SEL | 2% | 65 | 4579603.0, 4611687.0, 4647727.0, 4684483.0, 4722072.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 72.1765853658537, 72.4382926829268, 72.319756097561,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 1389.0213943225, 1530.53779004389, 1711.2181376602,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 53 | 25.0, 24.5, 23.8, 23.0, 22.1 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 12.1, 12.3, 12.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Denmark, Denmark, Denmark, Denmark, Denmark |
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 | DK, DK, DK, DK, DK |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 72.1765853658537, 72.4382926829268, 72.319756097561,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 46 | 16.2, 15.9, 15.5, 15.0, 14.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 53 | 25.0, 24.5, 23.8, 23.0, 22.1 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 10 | 12.0, 12.0, 12.0, 13.0, 13.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 45 | 2.57, 2.55, 2.55, 2.67, 2.6 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 45 | 16.6, 16.6, 16.7, 17.6, 17.7 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 27 | 9.5, 9.4, 9.8, 9.8, 9.9 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 52% | 32 | 2.494, 2.429, 2.596, 2.613, 2.639 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 23% | 43 | 8.10000038146973, 8.39999961853027, 8.30000019073486, 8.5, 8.5 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 15 | 88.0, 88.0, 87.0, 86.0, 86.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 62% | 25 | 8.11006165, 8.44370651, 8.69506168, 8.89037418, 8.98551464 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Denmark, Denmark, Denmark, Denmark, Denmark |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
unemployed_count |
Unemployed count | integer | SEL | 0% | - | 87530 |
unemployed_male |
Unemployed male | integer | SEL | 0% | - | 43485 |
unemployed_female |
Unemployed female | integer | SEL | 0% | - | 44045 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
unemployed_count |
Unemployed count | integer | SEL | 0% | - | 8578, 18718, 16767, 31851, 10730 |
unemployed_male |
Unemployed male | integer | SEL | 0% | - | 4445, 9175, 8626, 15367, 5427 |
unemployed_female |
Unemployed female | integer | SEL | 0% | - | 4133, 9543, 8140, 16484, 5304 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2025, 2025, 2025, 2025, 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
unemployed_count |
Unemployed count | integer | SEL | 0% | - | 14370, 1939, 750, 864, 129 |
unemployed_male |
Unemployed male | integer | SEL | 0% | - | 6830, 881, 381, 440, 58 |
unemployed_female |
Unemployed female | integer | SEL | 0% | - | 7540, 1059, 369, 425, 72 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2025, 2025, 2025, 2025, 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
unemployment_rate_pct |
Unemployment rate percent | float | SEL | 0% | - | 2.9 |
unemployment_rate_male_pct |
Unemployment rate male percent | float | SEL | 0% | - | 2.8 |
unemployment_rate_female_pct |
Unemployment rate female percent | float | SEL | 0% | - | 3.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
unemployment_rate_pct |
Unemployment rate percent | float | SEL | 0% | - | 3.0, 2.7, 2.8, 3.1, 2.6 |
unemployment_rate_male_pct |
Unemployment rate male percent | float | SEL | 0% | - | 2.9, 2.5, 2.7, 2.9, 2.5 |
unemployment_rate_female_pct |
Unemployment rate female percent | float | SEL | 0% | - | 3.0, 2.9, 2.9, 3.2, 2.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2025, 2025, 2025, 2025, 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
unemployment_rate_pct |
Unemployment rate percent | float | SEL | 0% | - | 3.6, 3.2, 2.8, 4.3, 1.9 |
unemployment_rate_male_pct |
Unemployment rate male percent | float | SEL | 0% | - | 3.5, 3.0, 2.8, 4.1, 1.7 |
unemployment_rate_female_pct |
Unemployment rate female percent | float | SEL | 0% | - | 3.8, 3.4, 2.9, 4.5, 2.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2025, 2025, 2025, 2025, 2025 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
employed_male |
Employed male | integer | SEL | 0% | - | 1643356 |
employed_female |
Employed female | integer | SEL | 0% | - | 1492609 |
employed_count |
Employed count | integer | SEL | 0% | - | 3135965 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
employed_male |
Employed male | integer | SEL | 0% | - | 157733, 376211, 326878, 592247, 185132 |
employed_female |
Employed female | integer | SEL | 0% | - | 137259, 334803, 291347, 552890, 175616 |
employed_count |
Employed count | integer | SEL | 0% | - | 294992, 711014, 618225, 1145137, 360748 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
employed_male |
Employed male | integer | SEL | 0% | - | 227217, 20845, 28901, 17072, 1870 |
employed_female |
Employed female | integer | SEL | 0% | - | 237536, 24667, 21964, 10251, 1708 |
employed_count |
Employed count | integer | SEL | 0% | - | 464753, 45512, 50865, 27323, 3578 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
neet_youth_count |
Neet youth count | integer | SEL | 0% | - | 116142 |
neet_youth_male |
Neet youth male | integer | SEL | 0% | - | 58669 |
neet_youth_female |
Neet youth female | integer | SEL | 0% | - | 57473 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
neet_youth_count |
Neet youth count | integer | SEL | 0% | - | 11218, 28043, 23494, 37899, 15488 |
neet_youth_male |
Neet youth male | integer | SEL | 0% | - | 5753, 13945, 11822, 19077, 8072 |
neet_youth_female |
Neet youth female | integer | SEL | 0% | - | 5465, 14098, 11672, 18822, 7416 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
neet_youth_count |
Neet youth count | integer | SEL | 0% | - | 17348, 1720, 961, 916, 121 |
neet_youth_male |
Neet youth male | integer | SEL | 0% | - | 8440, 830, 495, 457, 80 |
neet_youth_female |
Neet youth female | integer | SEL | 0% | - | 8908, 890, 466, 459, 41 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
employment_rate_pct |
Employment to population ratio | float | SEL | 0% | - | 77.4 |
economic_activity_rate_pct |
Economic activity rate percent | float | SEL | 0% | - | 79.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
employment_rate_pct |
Employment to population ratio | float | SEL | 0% | - | 76.8, 77.6, 76.5, 78.1, 77.5 |
economic_activity_rate_pct |
Economic activity rate percent | float | SEL | 0% | - | 79.0, 79.5, 78.5, 80.2, 79.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
employment_rate_pct |
Employment to population ratio | float | SEL | 0% | - | 76.7, 79.3, 77.4, 73.8, 84.0 |
economic_activity_rate_pct |
Economic activity rate percent | float | SEL | 0% | - | 79.2, 81.6, 79.2, 76.6, 85.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
avg_disposable_income |
Mean household income | float | SEL | 0% | - | 457099.0 |
avg_pretax_income |
Mean pretax household income | float | SEL | 0% | - | 658726.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
avg_disposable_income |
Mean household income | float | SEL | 0% | - | 419614.0, 444582.0, 434720.0, 495634.0, 446146.0 |
avg_pretax_income |
Mean pretax household income | float | SEL | 0% | - | 602458.0, 637048.0, 624975.0, 719687.0, 639877.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 101, 147, 151, 153, 155 |
region_name |
Admin name | string | SEL | 0% | - | Copenhagen, Frederiksberg, Ballerup, Brøndby, Dragør |
avg_disposable_income |
Mean household income | float | SEL | 0% | - | 418327.0, 501557.0, 456764.0, 395240.0, 658859.0 |
avg_pretax_income |
Mean pretax household income | float | SEL | 0% | - | 613808.0, 738163.0, 659667.0, 556690.0, 927857.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_2, admin_2, admin_2, admin_2, admin_2 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| 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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 12.0 |
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 | .dk |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 100.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 44.0 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | 698,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 698000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 7.57 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 7.57 |
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 | strong public-sector TV presence, with Danmarks Radio... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 6.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 100% (2024 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 2.65 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 2.65 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 44 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.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 | 73700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 429.457 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 12.4 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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-member, trade-oriented Nordic economy;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $440.558 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 | 440.558 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $424.937 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 | 424.937 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $414.592 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 | 414.592 |
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 | 3.7% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.5 |
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 | $73,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $71,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 71500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $70,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 70200.0 |
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 | $429.457 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 0.7% (2024 est.) |
| +119 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | 20.794 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 20.794 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 35.253 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 35.253 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 16.698 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 16.698 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 19.831 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 19.831 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.825 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.825 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 11.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 11.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 9.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 9.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 57.6% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 57.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 21.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 21.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.135 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.135 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 124,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 124000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1.296 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.296 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 63,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 63000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 151,000 bbl/day (2024 est.) |
| +17 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 | 65.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 16.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 88.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.54 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.911 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution, principally from vehicle and power-plant... |
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; humid and overcast; mild, windy winters and... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 59.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 59.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 5.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 5.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 18.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 18.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 88.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.54% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 29.915 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 29.915 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 2.54 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 | 2.54 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 22.535 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 | 22.535 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 4.841 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 | 4.841 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 10.1 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 10.1 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 49.7 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 49.7 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 236.5 kt (2019-2021 est.) |
| +22 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | Dane(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Danish |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Danish (includes Greenlandic (who are predominantly... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 84.2 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 43094.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 42434.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 660.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 141.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 7314.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 171.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -7.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 65.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 16.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 2420.0 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Northern Europe, bordering the Baltic Sea and the North... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 56 00 N, 10 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 56.0 |
map_references_text |
map_references_text | string | 0% | 1 | Europe |
area_total_text |
area_total_text | string | 0% | 1 | 43,094 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 42,434 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 660 sq km |
area_note |
area_note | string | 0% | 1 | note: includes the island of Bornholm in the Baltic Sea... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than twice the size of Massachusetts;... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 141 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Germany 140 km; Canada 1.3 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 140.0 |
coastline_text |
coastline_text | string | 0% | 1 | 7,314 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200-m depth or to the depth of exploitation |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | temperate; humid and overcast; mild, windy winters and... |
terrain_text |
terrain_text | string | 0% | 1 | low and flat to gently rolling plains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Store Mollehoj 171 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Lammefjord -7 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 34 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 34.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, fish, arable land, salt,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 59.1% (2023 est.) |
| +15 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 | DNK |
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 | Kingdom of Denmark |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Denmark |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Kongeriget Danmark |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Danmark |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name derives from the words Dane, a tribal name with... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary constitutional monarchy |
capital_name_text |
capital_name_text | string | 0% | 1 | Copenhagen |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 55 40 N, 12 35 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 55.0 |
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... |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | name derives from the Danish words køber (merchant or... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | metropolitan Denmark - 5 regions (regioner, singular -... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 5.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law; judicial review of legislative acts |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 5 June 1953 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 5.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the Folketing (Parliament) with consent of... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 40.0 |
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 Denmark |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | King FREDERIK X (since 14 January 2024) |
| +75 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 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Once the seat of Viking raiders and later a major north... |
background_numeric |
background_numeric | float | 0% | 1 | 1949.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Danish, Faroese, Greenlandic (an Inuit dialect), German... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Verdens Faktabog, den uundværlig kilde til grundlæggende... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | 100,832 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 100832.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 8,566 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 8566.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | Danish Armed Forces (Forsvaret): Royal Danish Army,... |
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 | 3.2% of GDP (2025 est.) |
military_expenditures_military_expenditures_2025_numeric |
Military expenditures 2025 (numeric) | float | 0% | 1 | 3.2 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 2.3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.4% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 17,000 active-duty military personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 17000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Danish military inventory is comprised of modern... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | -35.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18 years of age for compulsory and voluntary military... |
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 | Denmark contributes air, ground, and naval forces to a... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 2025.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Danish Armed Forces (Forsvaret) have a variety of... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1949.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 6051491.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3001698.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3049793.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 16.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 20.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 57.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 24.5 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 32.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 42.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.64 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 9.81 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 10.56 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 7.12 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 88.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.54 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.07 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.99 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 4.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 3.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 82.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.5 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.73 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 7.24 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.5 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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 | 6,051,491 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,001,698 |
population_female_text |
population_female_text | string | 0% | 1 | 3,049,793 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 16.2% (male 496,793/female 471,018) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.9% (male 1,903,315/female 1,856,615) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 20.8% (2024 est.) (male 575,153/female 670,242) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 57.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 24.5 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 32.7 (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 | 42.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 41 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 41.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 43.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 43.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.64% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 9.81 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 10.56 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 7.12 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population centers tend to be along coastal areas,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 88.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.54% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.381 million COPENHAGEN (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.381 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.07 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 | 1.03 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.03 |
| +82 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 4.3 |
composition_ethnicity_primary_label_synth |
Danish (includes Greenlandic (who are predominantly Inuit) and Faroese) | string | CCL | 0% | - | Danish (includes Greenlandic (who are predominantly... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Evangelical Lutheran (official) 71.4%, Muslim 4.3%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 71.4 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_evangelical_lutheran_official_pct_synth |
Evangelical Lutheran (official) | numeric | 0% | - | 71.4 |
composition_religion_other_none_unspecified_denominations_include_roman_catholic_jehovah_s_witness_serbian_orthodox_christian_jewish_baptist_buddhist_church_of_jesus_christ_pentecostal_and_nondenominational_christian_pct_synth |
other/none/unspecified (denominations include Roman Catholic, Jehovah's Witness, Serbian Orthodox Christian, Jewish, Baptist, Buddhist, Church of Jesus Christ, Pentecostal, and nondenominational Christian) | numeric | 0% | - | 24.3 |
composition_ethnicity_danish_includes_greenlandic_who_are_predominantly_inuit_and_faroese_pct_synth |
Danish (includes Greenlandic (who are predominantly Inuit) and Faroese) | numeric | 0% | - | 84.2 |
composition_ethnicity_turkish_pct_synth |
Turkish | numeric | 0% | - | 1.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 14.7 |
composition_ethnicity_primary_share_pct_synth |
Danish (includes Greenlandic (who are predominantly Inuit) and Faroese) | numeric | 0% | - | 84.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
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); Islamic... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.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 | OY |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 102.0 |
country_code |
Country code | string | SEL | 0% | 1 | DNK |
country_name |
Country name | string | SEL | 0% | 1 | Denmark |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 102 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 29 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 29.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,682 km (2020) 876 km electrified |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2682.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 715 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 715.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 15, container ship 132, general cargo 69,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 15.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 69 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 69.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 1 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 1.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 30 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 30.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 36 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 36.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 33 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 33.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Abenra, Alborg, Arhus, Assens, Augustenborg, Bandholm,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/da.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 11 | dani1246, dani1285, faro1244, juti1236, kala1399 |
name |
Name | string | CCL | 0% | 11 | Danish Sign Language, Danish, Faroese, Jutish, Kalaallisut |
iso639_3 |
Iso639 3 | string | CCL | 9% | 10 | dsl, dan, fao, jut, kal |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | sign1238, indo1319, indo1319, indo1319, eski1264 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 10 | dani1289, sout3248, icel1246, sout3248, gree1280 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['DK', 'FO', 'GL'], ['DE', 'DK', 'FO', 'GL'], ['DK',... |
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% | 6 | 0, 8, 0, 0, 6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 9% | 10 | 55.8257, 54.8655, 62.0732, 54.911, 69.3761 |
longitude |
longitude | float | 9% | 10 | 12.3187, 9.36284, -6.88497, 9.38924, -52.864 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Denmark |
admin_code |
Admin code | string | SEL | 0% | 1 | 41277480B51967986096680 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 42888.839 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 5607049 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 130.73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK, DNK, DNK, DNK, DNK |
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% | 5 | Hovedstaden, Midtjylland, Syddanmark, Sjælland, Nordjylland |
admin_code |
Admin code | string | SEL | 0% | 5 | 84455774B63592985071065, 84455774B58555105451238,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 2506.4589, 13157.9614, 11855.2521, 7168.7024, 8200.8785 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 1830554, 1315280, 1143134, 774279, 544132 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 730.33, 99.96, 96.42, 108.01, 66.35 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK, DNK, DNK, DNK, DNK |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 5 | Copenhagen, Aarhus, Odense, Greve Strand, Aalborg |
admin_code |
Admin code | integer | SEL | 0% | 5 | 698, 249, 410, 557, 72 |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 302.7383, 89.2254, 64.1518, 45.1089, 41.1122 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 1207206, 198253, 127398, 66159, 60725 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 3987.62, 2221.93, 1985.88, 1466.65, 1477.06 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 5 | 1258202, 252649, 147088, 80685, 101029 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 5 | 0.959, 0.785, 0.866, 0.82, 0.601 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DNK, DNK, DNK, DNK, DNK |
gns_language_code |
gns_language_code | string | CCL | 0% | 10 | dan, eng, deu, swe, nor |
gns_language_name |
gns_language_name | string | CCL | 0% | 10 | Danish, English, German, Swedish, Norwegian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 204, 87, 16, 3, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 64.1509, 27.3585, 5.0314, 0.9434, 0.6289 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DNK |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Denmark |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 10 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9595 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 19739 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 13977 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 19731 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 8 |
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 | 9708 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 7163 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 5104 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 3300 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2121 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1505 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1519 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1094 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 761 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 563 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 64 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 31 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 461 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 320 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 000 |
region_name |
Admin name | string | SEL | 0% | - | All Denmark |
avg_hourly_earnings |
Mean hourly earnings | float | SEL | 0% | - | 378.88 |
avg_hourly_earnings_male |
Mean hourly earnings male | float | SEL | 0% | - | 397.41 |
avg_hourly_earnings_female |
Mean hourly earnings female | float | SEL | 0% | - | 358.08 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_0 |
country_code |
country_code | string | 0% | - | DNK |
period |
period | string | 0% | - | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
region_code |
Admin code | string | SEL | 0% | - | 081, 082, 083, 084, 085 |
region_name |
Admin name | string | SEL | 0% | - | Region Nordjylland, Region Midtjylland, Region... |
avg_hourly_earnings |
Mean hourly earnings | float | SEL | 0% | - | 345.09, 359.57, 355.87, 415.77, 354.36 |
avg_hourly_earnings_male |
Mean hourly earnings male | float | SEL | 0% | - | 360.98, 379.19, 372.91, 437.27, 366.74 |
avg_hourly_earnings_female |
Mean hourly earnings female | float | SEL | 0% | - | 326.9, 336.59, 336.11, 392.12, 341.71 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | - | admin_1, admin_1, admin_1, admin_1, admin_1 |
country_code |
country_code | string | 0% | - | DNK, DNK, DNK, DNK, DNK |
period |
period | string | 0% | - | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 5 | Copenhagen, Aarhus, Odense, Aalborg, Greve Strand |
country_code |
Country code | string | SEL | 0% | 1 | DNK, DNK, DNK, DNK, DNK |
population |
Population count | integer | SEL | 0% | 5 | 1258202, 252649, 147088, 101029, 80685 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 5 | 698, 249, 410, 72, 557 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Denmark, Denmark, Denmark, Denmark, Denmark |
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 | DK, DK, DK, DK, DK |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | DNK, DNK, DNK, DNK, DNK |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 5 | -2.23, 5.15, 7.09, 4.76, 8.17 |
grocery |
grocery | float | 0% | 5 | -5.91, -0.28, 8.14, 2.29, 5.8 |
parks |
parks | float | 0% | 5 | 5.09, 11.78, 16.34, 8.25, 8.39 |
transit |
transit | float | 0% | 5 | -19.07, -11.67, -8.82, -11.93, -8.83 |
workplaces |
workplaces | float | 0% | 5 | -25.52, -21.43, -22.94, -20.41, -16.13 |
residential |
residential | float | 0% | 5 | 4.25, 3.81, 3.35, 3.99, 3.26 |
region |
region | string | 0% | 5 | Capital Region of Denmark, Central Denmark Region, North... |
observation_count |
observation_count | integer | 0% | 5 | 28146, 17573, 10300, 16736, 19579 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DNK |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Danes |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 1.0 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 39001000 |
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 | DNK |
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 | 12 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 5.5 |
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 | integer | 0% | 1 | 4 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 76 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 61 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 6 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 5.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 154 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 3.7 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 132 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.33 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.85 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 4.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 4 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 148 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.02 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 3.86 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 38 |
| +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 | DNK |
| 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 |
|---|---|---|---|
| Danish (dan) | 204 | 64.2% | — |
| English (eng) | 87 | 27.4% | — |
| German (deu) | 16 | 5.0% | — |
| Swedish (swe) | 3 | 0.9% | — |
| Norwegian (nor) | 2 | 0.6% | — |
| Dutch (nld) | 2 | 0.6% | — |
| Kalaallisut (kal) | 1 | 0.3% | — |
| Faroese (fao) | 1 | 0.3% | — |
| + 2 further languages (2 names, each under 0.05%) | |||
13,977 distinct features ·
10 languages ·
0 scripts ·
8 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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.