| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
dwellings_by_building_type__dwellings_occupied_and_vacant |
dwellings by building type dwellings occupied and vacant | integer | SEL | 0% | 6 | 1306558, 244516, 332898, 725715, 76517 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | dwellings_by_building_type, dwellings_by_building_type,... |
admin_name |
admin name | string | 0% | 1 | The whole country, The whole country, The whole country,... |
admin_level |
admin level | string | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
bygntype_code |
bygntype code | float | 0% | 6 | 01, 02, 03, 04, 05 |
bygntype_name |
bygntype name | string | 0% | 6 | Detached house, House with 2 dwellings, Row house,... |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u, 0716u, 0716u, 0716u, 0716u |
dwellings_by_building_type__dwellings_occupied_and_vacant |
dwellings by building type dwellings occupied and vacant | integer | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | dwellings_by_building_type, dwellings_by_building_type,... |
admin_name |
admin name | string | 0% | 1 | Våle (-2001), Våle (-2001), Våle (-2001), Våle (-2001),... |
bygntype_code |
bygntype code | float | 0% | 6 | 01, 02, 03, 04, 05 |
bygntype_name |
bygntype name | string | 0% | 6 | Detached house, House with 2 dwellings, Row house,... |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
pop_basic_education |
Population 16+ with basic-school education (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population 16+ with upper-secondary education (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population 16+ with higher education: short+long+vocational (derived) | integer | SEL | 0% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | educational_attainment, educational_attainment,... |
admin_name |
admin name | string | 0% | 1 | The whole country, The whole country, The whole country,... |
admin_level |
admin level | string | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
nivaa_code |
nivaa code | float | 0% | 7 | 00, 00, 00, 01, 01 |
nivaa_name |
nivaa name | string | 0% | 7 | Total, Total, Total, Basic school level, Basic school level |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
educational_attainment__persons_16_years_and_older |
educational attainment persons 16 years and older | integer | 0% | 21 | 4627189, 2305096, 2322093, 1063462, 504216 |
educational_attainment__persons_16_years_and_older_per_cent |
educational attainment persons 16 years and older per cent | integer | 14% | 16 | 100, 100, 100, 23.1, 22 |
edu__basic_school_level__both |
Basic school level (both, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__male |
Basic school level (male, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__female |
Basic school level (female, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__both |
Upper secondary education (both, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__male |
Upper secondary education (male, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__female |
Upper secondary education (female, persons 16+) | integer | 0% | - | - |
edu__higher_short__both |
Higher education, short (both, persons 16+) | integer | 0% | - | - |
edu__higher_short__male |
Higher education, short (male, persons 16+) | integer | 0% | - | - |
edu__higher_short__female |
Higher education, short (female, persons 16+) | integer | 0% | - | - |
edu__higher_long__both |
Higher education, long (both, persons 16+) | integer | 0% | - | - |
edu__higher_long__male |
Higher education, long (male, persons 16+) | integer | 0% | - | - |
edu__higher_long__female |
Higher education, long (female, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__both |
Tertiary vocational education (both, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__male |
Tertiary vocational education (male, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__female |
Tertiary vocational education (female, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__both |
Unknown or no completed education (both, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__male |
Unknown or no completed education (male, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__female |
Unknown or no completed education (female, persons 16+) | integer | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u, 0716u, 0716u, 0716u, 0716u |
pop_basic_education |
Population 16+ with basic-school education (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population 16+ with upper-secondary education (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population 16+ with higher education: short+long+vocational (derived) | integer | SEL | 0% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | educational_attainment, educational_attainment,... |
admin_name |
admin name | string | 0% | 1 | Våle (-2001), Våle (-2001), Våle (-2001), Våle (-2001),... |
nivaa_code |
nivaa code | float | 0% | 7 | 00, 00, 00, 01, 01 |
nivaa_name |
nivaa name | string | 0% | 7 | Total, Total, Total, Basic school level, Basic school level |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
educational_attainment__persons_16_years_and_older |
educational attainment persons 16 years and older | integer | 0% | 1 | 0, 0, 0, 0, 0 |
educational_attainment__persons_16_years_and_older_per_cent |
educational attainment persons 16 years and older per cent | integer | 0% | 1 | 0, 0, 0, 0, 0 |
edu__basic_school_level__both |
Basic school level (both, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__male |
Basic school level (male, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__female |
Basic school level (female, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__both |
Upper secondary education (both, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__male |
Upper secondary education (male, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__female |
Upper secondary education (female, persons 16+) | integer | 0% | - | - |
edu__higher_short__both |
Higher education, short (both, persons 16+) | integer | 0% | - | - |
edu__higher_short__male |
Higher education, short (male, persons 16+) | integer | 0% | - | - |
edu__higher_short__female |
Higher education, short (female, persons 16+) | integer | 0% | - | - |
edu__higher_long__both |
Higher education, long (both, persons 16+) | integer | 0% | - | - |
edu__higher_long__male |
Higher education, long (male, persons 16+) | integer | 0% | - | - |
edu__higher_long__female |
Higher education, long (female, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__both |
Tertiary vocational education (both, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__male |
Tertiary vocational education (male, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__female |
Tertiary vocational education (female, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__both |
Unknown or no completed education (both, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__male |
Unknown or no completed education (male, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__female |
Unknown or no completed education (female, persons 16+) | integer | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | float | SEL | 0% | 1 | 0 |
employment_by_industry__employed_persons_by_place_of_residence |
employment by industry employed persons by place of residence | integer | SEL | 0% | 1 | 2872856 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | employment_by_industry |
admin_name |
admin name | string | 0% | 1 | The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0 |
nace2007_code |
nace2007 code | string | 0% | 1 | 00-99 |
nace2007_name |
nace2007 name | string | 0% | 1 | All industries |
kjonn_code |
kjonn code | float | 0% | 1 | 0 |
kjonn_name |
kjonn name | string | 0% | 1 | Both sexes |
alder_code |
alder code | string | 0% | 1 | 15-74 |
alder_name |
alder name | string | 0% | 1 | 15-74 years |
year |
year | float | 0% | 1 | 2025 |
employment_by_industry__employed_persons_by_place_of_work |
employment by industry employed persons by place of work | integer | 0% | 1 | 2872855 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u |
employment_by_industry__employed_persons_by_place_of_residence |
employment by industry employed persons by place of residence | integer | SEL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | employment_by_industry |
admin_name |
admin name | string | 0% | 1 | Våle (-2001) |
nace2007_code |
nace2007 code | string | 0% | 1 | 00-99 |
nace2007_name |
nace2007 name | string | 0% | 1 | All industries |
kjonn_code |
kjonn code | float | 0% | 1 | 0 |
kjonn_name |
kjonn name | string | 0% | 1 | Both sexes |
alder_code |
alder code | string | 0% | 1 | 15-74 |
alder_name |
alder name | string | 0% | 1 | 15-74 years |
year |
year | float | 0% | 1 | 2025 |
employment_by_industry__employed_persons_by_place_of_work |
employment by industry employed persons by place of work | integer | 0% | 1 | 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | float | SEL | 0% | 1 | 0 |
households_income__total_income_median_nok |
households income total income median nok | integer | SEL | 0% | 1 | 856300 |
households_income__income_after_taxes_median_nok |
households income income after taxes median nok | integer | SEL | 0% | 1 | 676100 |
households_income__number_of_households |
households income number of households | integer | SEL | 0% | 1 | 2616826 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | households_income |
admin_name |
admin name | string | 0% | 1 | The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0 |
husholdtype_code |
husholdtype code | float | 0% | 1 | 0000 |
husholdtype_name |
husholdtype name | string | 0% | 1 | All households |
year |
year | float | 0% | 1 | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 18 | 030101a, 030102a, 030103a, 030104a, 030105a |
households_income__total_income_median_nok |
households income total income median nok | integer | SEL | 0% | 18 | 793300, 772700, 779900, 721500, 804300 |
households_income__income_after_taxes_median_nok |
households income income after taxes median nok | integer | SEL | 0% | 18 | 603800, 589800, 591600, 549000, 597700 |
households_income__number_of_households |
households income number of households | integer | SEL | 0% | 18 | 36733, 38642, 28383, 24246, 36394 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | households_income, households_income, households_income,... |
admin_name |
admin name | string | 0% | 18 | Gamle Oslo, Grünerløkka, Sagene, St. Hanshaugen, Frogner |
husholdtype_code |
husholdtype code | float | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
husholdtype_name |
husholdtype name | string | 0% | 1 | All households, All households, All households, All... |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 0, 0, 0 |
landbakgrunn_code |
landbakgrunn code | float | CCL | 0% | 1 | 999, 999, 999 |
immigrants_by_background__persons |
immigrants by background persons | integer | CCL | 0% | 3 | 1225627, 987120, 238507 |
immigrants_by_background__per_cent_of_population |
immigrants by background per cent of population | float | CCL | 0% | 3 | 21.78, 17.54, 4.24 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | immigrants_by_background, immigrants_by_background,... |
admin_name |
admin name | string | 0% | 1 | The whole country, The whole country, The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0, admin_0, admin_0 |
innvandrkat_code |
innvandrkat code | string | 0% | 3 | B-C, B, C |
innvandrkat_name |
innvandrkat name | string | 0% | 3 | Immigrants and Norwegian-born to immigrant parents,... |
landbakgrunn_name |
landbakgrunn name | string | 0% | 1 | Total, Total, Total |
year |
year | float | 0% | 1 | 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u, 0716u, 0716u |
landbakgrunn_code |
landbakgrunn code | float | CCL | 0% | 1 | 999, 999, 999 |
immigrants_by_background__persons |
immigrants by background persons | integer | CCL | 0% | 1 | 0, 0, 0 |
immigrants_by_background__per_cent_of_population |
immigrants by background per cent of population | integer | CCL | 0% | 1 | 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | immigrants_by_background, immigrants_by_background,... |
admin_name |
admin name | string | 0% | 1 | Våle (-2001), Våle (-2001), Våle (-2001) |
innvandrkat_code |
innvandrkat code | string | 0% | 3 | B-C, B, C |
innvandrkat_name |
innvandrkat name | string | 0% | 3 | Immigrants and Norwegian-born to immigrant parents,... |
landbakgrunn_name |
landbakgrunn name | string | 0% | 1 | Total, Total, Total |
year |
year | float | 0% | 1 | 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | float | SEL | 0% | 1 | 0 |
migration_flows__immigration |
migration flows immigration | integer | CCL | 0% | 1 | 55243 |
migration_flows__emmigration |
migration flows emmigration | integer | CCL | 0% | 1 | 32919 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | migration_flows |
admin_name |
admin name | string | 0% | 1 | The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0 |
year |
year | float | 0% | 1 | 2025 |
migration_flows__net_migration_not_domestic |
migration flows net migration not domestic | integer | 0% | 1 | 22324 |
migration_flows__net_immigration_and_emigration_per_1000_mean_population |
migration flows net immigration and emigration per 1000 mean population | integer | 0% | 1 | 4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u |
migration_flows__immigration |
migration flows immigration | integer | CCL | 0% | 1 | 0 |
migration_flows__emmigration |
migration flows emmigration | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | migration_flows |
admin_name |
admin name | string | 0% | 1 | Våle (-2001) |
year |
year | float | 0% | 1 | 2025 |
migration_flows__in_migration |
migration flows in migration | integer | 0% | 1 | 0 |
migration_flows__out_migration |
migration flows out migration | integer | 0% | 1 | 0 |
migration_flows__net_migration_total |
migration flows net migration total | integer | 0% | 1 | 0 |
migration_flows__in_migration_domestic |
migration flows in migration domestic | integer | 0% | 1 | 0 |
migration_flows__out_migration_domestic |
migration flows out migration domestic | integer | 0% | 1 | 0 |
migration_flows__net_migration_domestic |
migration flows net migration domestic | integer | 0% | 1 | 0 |
migration_flows__net_migration_not_domestic |
migration flows net migration not domestic | integer | 0% | 1 | 0 |
migration_flows__net_migration_per_1000_mean_population |
migration flows net migration per 1000 mean population | integer | 0% | 1 | 0 |
migration_flows__domestic_net_migration_per_1000_mean_population |
migration flows domestic net migration per 1000 mean population | integer | 0% | 1 | 0 |
migration_flows__net_immigration_and_emigration_per_1000_mean_population |
migration flows net immigration and emigration per 1000 mean population | integer | 0% | 1 | 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | personal_income_tax, personal_income_tax, personal_income_tax |
admin_name |
admin name | string | 0% | 1 | The whole country, The whole country, The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0, admin_0, admin_0 |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males |
year |
year | float | 0% | 1 | 2024, 2024, 2024 |
personal_income_tax__average_gross_income_nok |
personal income tax average gross income nok | integer | 0% | 3 | 622400, 522000, 722100 |
personal_income_tax__average_personal_income_wages_nok |
personal income tax average personal income wages nok | integer | 0% | 3 | 424400, 354700, 493500 |
personal_income_tax__average_income_deduction_nok |
personal income tax average income deduction nok | integer | 0% | 3 | 167600, 153000, 182100 |
personal_income_tax__average_assessed_taxes_nok |
personal income tax average assessed taxes nok | integer | 0% | 3 | 157500, 118100, 196500 |
personal_income_tax__average_ordinary_income_after_special_deduction_nok |
personal income tax average ordinary income after special deduction nok | integer | 0% | 3 | 478100, 378700, 576800 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | float | SEL | 0% | 1 | 0 |
population_and_area__population_per_1_1_persons |
population and area population per 1 1 persons | integer | SEL | 0% | 1 | 5627400 |
population_and_area__land_area_km |
population and area land area km | integer | SEL | 0% | 1 | 304096 |
population_and_area__population_per_km_land_area |
population and area population per km land area | integer | SEL | 0% | 1 | 19 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_and_area |
admin_name |
admin name | string | 0% | 1 | The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0 |
year |
year | float | 0% | 1 | 2026 |
population_and_area__area_km |
population and area area km | integer | 0% | 1 | 323805 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u |
population_and_area__population_per_1_1_persons |
population and area population per 1 1 persons | integer | SEL | 0% | 1 | 0 |
population_and_area__land_area_km |
population and area land area km | integer | SEL | 0% | 1 | 0 |
population_and_area__population_per_km_land_area |
population and area population per km land area | integer | SEL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_and_area |
admin_name |
admin name | string | 0% | 1 | Våle (-2001) |
year |
year | float | 0% | 1 | 2026 |
population_and_area__area_km |
population and area area km | integer | 0% | 1 | 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
population_by_sex_age__persons |
population by sex age persons | integer | SEL | 0% | 99 | 27107, 26420, 26100, 26140, 28658 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_by_sex_age, population_by_sex_age,... |
admin_name |
admin name | string | 0% | 1 | The whole country, The whole country, The whole country,... |
admin_level |
admin level | string | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
kjonn_code |
kjonn code | float | 0% | 1 | 2, 2, 2, 2, 2 |
kjonn_name |
kjonn name | string | 0% | 1 | Females, Females, Females, Females, Females |
alder_code |
alder code | float | 0% | 100 | 000, 001, 002, 003, 004 |
alder_name |
alder name | string | 0% | 100 | 0 years, 1 year, 2 years, 3 years, 4 years |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 1 | 0716u, 0716u, 0716u, 0716u, 0716u |
population_by_sex_age__persons |
population by sex age persons | integer | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_by_sex_age, population_by_sex_age,... |
admin_name |
admin name | string | 0% | 1 | Våle (-2001), Våle (-2001), Våle (-2001), Våle (-2001),... |
kjonn_code |
kjonn code | float | 0% | 1 | 2, 2, 2, 2, 2 |
kjonn_name |
kjonn name | string | 0% | 1 | Females, Females, Females, Females, Females |
alder_code |
alder code | float | 0% | 100 | 000, 001, 002, 003, 004 |
alder_name |
alder name | string | 0% | 100 | 0 years, 1 year, 2 years, 3 years, 4 years |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR |
region_code |
region code | float | SEL | 0% | 1 | 0 |
population_changes__population_1_january |
population changes population 1 january | integer | SEL | 0% | 1 | 5627400 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_changes |
admin_name |
admin name | string | 0% | 1 | The whole country |
admin_level |
admin level | string | 0% | 1 | admin_0 |
year |
year | float | 0% | 1 | 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | string | SEL | 0% | 62 | 0119u, 0221u, 0432u, 0435u, 0516u |
population_changes__population_1_january |
population changes population 1 january | integer | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__live_births |
population changes live births | integer | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__deaths |
population changes deaths | integer | SEL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_changes, population_changes,... |
admin_name |
admin name | string | 0% | 62 | Øymark (-1963), Søndre Høland (1924-1965), Ytre Rendal... |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
population_changes__excess_of_births |
population changes excess of births | integer | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__in_migration |
population changes in migration | integer | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__emigration |
population changes emigration | integer | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__net_migration |
population changes net migration | integer | 0% | 1 | 0, 0, 0, 0, 0 |
population_changes__population_increase |
population changes population increase | integer | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
trussamfunn_name |
trussamfunn name | string | CCL | 0% | 21 | Adventists, Buddhism, The Evangelical Lutheran Free... |
religious_communities__members |
religious communities members | integer | CCL | 0% | 21 | 5530, 9898, 21389, 4827, 46308 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | religious_communities, religious_communities,... |
trussamfunn_code |
trussamfunn code | float | 0% | 21 | 06, 19, 08, 02, 01 |
year |
year | float | 0% | 1 | 2004, 2004, 2004, 2004, 2004 |
religious_communities__congregations_in_registered_religious_communities |
religious communities congregations in registered religious communities | integer | 0% | 17 | 71, 7, 78, 8, 32 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 17 | 31, 31, 31, 31, 31 |
dwellings_by_building_type__dwellings_occupied_and_vacant |
dwellings by building type dwellings occupied and vacant | integer | SEL | 0% | 47 | 75092, 17048, 21368, 28824, 2162 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | dwellings_by_building_type, dwellings_by_building_type,... |
admin_name |
admin name | string | 0% | 17 | Østfold, Østfold, Østfold, Østfold, Østfold |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
bygntype_code |
bygntype code | float | 0% | 6 | 01, 02, 03, 04, 05 |
bygntype_name |
bygntype name | string | 0% | 6 | Detached house, House with 2 dwellings, Row house,... |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 5 | 31, 31, 31, 31, 31 |
pop_basic_education |
Population 16+ with basic-school education (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population 16+ with upper-secondary education (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population 16+ with higher education: short+long+vocational (derived) | integer | SEL | 0% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | educational_attainment, educational_attainment,... |
admin_name |
admin name | string | 0% | 5 | Østfold, Østfold, Østfold, Østfold, Østfold |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
nivaa_code |
nivaa code | float | 0% | 7 | 00, 00, 00, 01, 01 |
nivaa_name |
nivaa name | string | 0% | 7 | Total, Total, Total, Basic school level, Basic school level |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
educational_attainment__persons_16_years_and_older |
educational attainment persons 16 years and older | integer | 0% | 43 | 261836, 130921, 130915, 73454, 35233 |
educational_attainment__persons_16_years_and_older_per_cent |
educational attainment persons 16 years and older per cent | integer | 6% | 29 | 100, 100, 100, 28.2, 27.1 |
edu__basic_school_level__both |
Basic school level (both, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__male |
Basic school level (male, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__female |
Basic school level (female, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__both |
Upper secondary education (both, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__male |
Upper secondary education (male, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__female |
Upper secondary education (female, persons 16+) | integer | 0% | - | - |
edu__higher_short__both |
Higher education, short (both, persons 16+) | integer | 0% | - | - |
edu__higher_short__male |
Higher education, short (male, persons 16+) | integer | 0% | - | - |
edu__higher_short__female |
Higher education, short (female, persons 16+) | integer | 0% | - | - |
edu__higher_long__both |
Higher education, long (both, persons 16+) | integer | 0% | - | - |
edu__higher_long__male |
Higher education, long (male, persons 16+) | integer | 0% | - | - |
edu__higher_long__female |
Higher education, long (female, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__both |
Tertiary vocational education (both, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__male |
Tertiary vocational education (male, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__female |
Tertiary vocational education (female, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__both |
Unknown or no completed education (both, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__male |
Unknown or no completed education (male, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__female |
Unknown or no completed education (female, persons 16+) | integer | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 41 | 31, 32, 30, 01, 02 |
employment_by_industry__employed_persons_by_place_of_residence |
employment by industry employed persons by place of residence | integer | SEL | 0% | 16 | 147297, 385138, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | employment_by_industry, employment_by_industry,... |
admin_name |
admin name | string | 0% | 41 | Østfold, Akershus, Viken (2020-2023), Østfold (-2019),... |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
nace2007_code |
nace2007 code | string | 0% | 1 | 00-99, 00-99, 00-99, 00-99, 00-99 |
nace2007_name |
nace2007 name | string | 0% | 1 | All industries, All industries, All industries, All... |
kjonn_code |
kjonn code | float | 0% | 1 | 0, 0, 0, 0, 0 |
kjonn_name |
kjonn name | string | 0% | 1 | Both sexes, Both sexes, Both sexes, Both sexes, Both sexes |
alder_code |
alder code | string | 0% | 1 | 15-74, 15-74, 15-74, 15-74, 15-74 |
alder_name |
alder name | string | 0% | 1 | 15-74 years, 15-74 years, 15-74 years, 15-74 years, 15-74 years |
year |
year | float | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
employment_by_industry__employed_persons_by_place_of_work |
employment by industry employed persons by place of work | integer | 5% | 17 | 127125, 317082, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 15 | 31, 32, 03, 34, 33 |
households_income__total_income_median_nok |
households income total income median nok | integer | SEL | 0% | 15 | 801700, 972800, 834500, 780300, 833300 |
households_income__income_after_taxes_median_nok |
households income income after taxes median nok | integer | SEL | 0% | 15 | 648000, 756600, 635200, 629500, 661600 |
households_income__number_of_households |
households income number of households | integer | SEL | 0% | 15 | 147266, 326850, 366940, 183098, 127974 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | households_income, households_income, households_income,... |
admin_name |
admin name | string | 0% | 15 | Østfold, Akershus, Oslo - Oslove, Innlandet, Buskerud |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
husholdtype_code |
husholdtype code | float | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
husholdtype_name |
husholdtype name | string | 0% | 1 | All households, All households, All households, All... |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 34 | 31, 31, 31, 32, 32 |
landbakgrunn_code |
landbakgrunn code | float | CCL | 0% | 1 | 999, 999, 999, 999, 999 |
immigrants_by_background__persons |
immigrants by background persons | integer | CCL | 0% | 46 | 72068, 55395, 16673, 209099, 161247 |
immigrants_by_background__per_cent_of_population |
immigrants by background per cent of population | float | CCL | 0% | 45 | 22.77, 17.51, 5.27, 27.91, 21.52 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | immigrants_by_background, immigrants_by_background,... |
admin_name |
admin name | string | 0% | 34 | Østfold, Østfold, Østfold, Akershus, Akershus |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
innvandrkat_code |
innvandrkat code | string | 0% | 3 | B-C, B, C, B-C, B |
innvandrkat_name |
innvandrkat name | string | 0% | 3 | Immigrants and Norwegian-born to immigrant parents,... |
landbakgrunn_name |
landbakgrunn name | string | 0% | 1 | Total, Total, Total, Total, Total |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 34 | 31, 32, 30, 01, 02 |
migration_flows__immigration |
migration flows immigration | integer | CCL | 0% | 16 | 2489, 5612, 0, 0, 0 |
migration_flows__emmigration |
migration flows emmigration | integer | CCL | 0% | 16 | 1342, 4491, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | migration_flows, migration_flows, migration_flows,... |
admin_name |
admin name | string | 0% | 34 | Østfold, Akershus, Viken (2020-2023), Østfold (-2019),... |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | float | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
migration_flows__in_migration |
migration flows in migration | integer | 0% | 16 | 11187, 36596, 0, 0, 0 |
migration_flows__out_migration |
migration flows out migration | integer | 0% | 16 | 8884, 30353, 0, 0, 0 |
migration_flows__net_migration_total |
migration flows net migration total | integer | 0% | 16 | 2303, 6243, 0, 0, 0 |
migration_flows__in_migration_domestic |
migration flows in migration domestic | integer | 0% | 16 | 8698, 30984, 0, 0, 0 |
migration_flows__out_migration_domestic |
migration flows out migration domestic | integer | 0% | 16 | 7542, 25862, 0, 0, 0 |
migration_flows__net_migration_domestic |
migration flows net migration domestic | integer | 0% | 16 | 1156, 5122, 0, 0, 0 |
migration_flows__net_migration_not_domestic |
migration flows net migration not domestic | integer | 0% | 16 | 1147, 1121, 0, 0, 0 |
migration_flows__net_migration_per_1000_mean_population |
migration flows net migration per 1000 mean population | float | 0% | 14 | 7.3, 8.4, 0, 0, 0 |
migration_flows__domestic_net_migration_per_1000_mean_population |
migration flows domestic net migration per 1000 mean population | float | 0% | 16 | 3.7, 6.9, 0, 0, 0 |
migration_flows__net_immigration_and_emigration_per_1000_mean_population |
migration flows net immigration and emigration per 1000 mean population | float | 0% | 13 | 3.6, 1.5, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 15 | 31, 31, 31, 32, 32 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | personal_income_tax, personal_income_tax,... |
admin_name |
admin name | string | 0% | 15 | Østfold, Østfold, Østfold, Akershus, Akershus |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
personal_income_tax__average_gross_income_nok |
personal income tax average gross income nok | integer | 0% | 44 | 555400, 472100, 638900, 680600, 566100 |
personal_income_tax__average_personal_income_wages_nok |
personal income tax average personal income wages nok | integer | 0% | 44 | 362000, 301400, 422600, 476400, 397000 |
personal_income_tax__average_income_deduction_nok |
personal income tax average income deduction nok | integer | 0% | 44 | 159400, 149800, 169100, 178700, 162800 |
personal_income_tax__average_assessed_taxes_nok |
personal income tax average assessed taxes nok | integer | 0% | 44 | 129800, 98100, 161500, 181900, 135900 |
personal_income_tax__average_ordinary_income_after_special_deduction_nok |
personal income tax average ordinary income after special deduction nok | integer | 0% | 45 | 411700, 330500, 493000, 533100, 415400 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 41 | 31, 32, 30, 01, 02 |
population_and_area__population_per_1_1_persons |
population and area population per 1 1 persons | integer | SEL | 0% | 16 | 316448, 749207, 0, 0, 0 |
population_and_area__land_area_km |
population and area land area km | integer | SEL | 0% | 16 | 3728, 5473, 0, 0, 0 |
population_and_area__population_per_km_land_area |
population and area population per km land area | integer | SEL | 0% | 14 | 85, 137, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_and_area, population_and_area,... |
admin_name |
admin name | string | 0% | 41 | Østfold, Akershus, Viken (2020-2023), Østfold (-2019),... |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
population_and_area__area_km |
population and area area km | integer | 0% | 16 | 4003, 5895, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 31, 31, 31, 31, 31 |
population_by_sex_age__persons |
population by sex age persons | integer | SEL | 0% | 94 | 1382, 1392, 1364, 1400, 1499 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_by_sex_age, population_by_sex_age,... |
admin_name |
admin name | string | 0% | 1 | Østfold, Østfold, Østfold, Østfold, Østfold |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
kjonn_code |
kjonn code | float | 0% | 1 | 2, 2, 2, 2, 2 |
kjonn_name |
kjonn name | string | 0% | 1 | Females, Females, Females, Females, Females |
alder_code |
alder code | float | 0% | 100 | 000, 001, 002, 003, 004 |
alder_name |
alder name | string | 0% | 100 | 0 years, 1 year, 2 years, 3 years, 4 years |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 41 | 31, 32, 30, 01, 02 |
population_changes__population_1_january |
population changes population 1 january | integer | SEL | 0% | 16 | 316448, 749207, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_changes, population_changes,... |
admin_name |
admin name | string | 0% | 41 | Østfold, Akershus, Viken (2020-2023), Østfold (-2019),... |
admin_level |
admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 17 | 3101, 3101, 3101, 3101, 3101 |
dwellings_by_building_type__dwellings_occupied_and_vacant |
dwellings by building type dwellings occupied and vacant | integer | SEL | 0% | 99 | 8179, 2529, 2331, 2455, 666 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | dwellings_by_building_type, dwellings_by_building_type,... |
admin_name |
admin name | string | 0% | 17 | Halden, Halden, Halden, Halden, Halden |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
bygntype_code |
bygntype code | float | 0% | 6 | 01, 02, 03, 04, 05 |
bygntype_name |
bygntype name | string | 0% | 6 | Detached house, House with 2 dwellings, Row house,... |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 5 | 3101, 3101, 3101, 3101, 3101 |
pop_basic_education |
Population 16+ with basic-school education (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population 16+ with upper-secondary education (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population 16+ with higher education: short+long+vocational (derived) | integer | SEL | 0% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | educational_attainment, educational_attainment,... |
admin_name |
admin name | string | 0% | 5 | Halden, Halden, Halden, Halden, Halden |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
nivaa_code |
nivaa code | float | 0% | 7 | 00, 00, 00, 01, 01 |
nivaa_name |
nivaa name | string | 0% | 7 | Total, Total, Total, Basic school level, Basic school level |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
educational_attainment__persons_16_years_and_older |
educational attainment persons 16 years and older | integer | 0% | 99 | 26993, 13405, 13588, 7472, 3643 |
educational_attainment__persons_16_years_and_older_per_cent |
educational attainment persons 16 years and older per cent | integer | 12% | 63 | 100, 100, 100, 27.8, 27.4 |
edu__basic_school_level__both |
Basic school level (both, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__male |
Basic school level (male, persons 16+) | integer | 0% | - | - |
edu__basic_school_level__female |
Basic school level (female, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__both |
Upper secondary education (both, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__male |
Upper secondary education (male, persons 16+) | integer | 0% | - | - |
edu__upper_secondary__female |
Upper secondary education (female, persons 16+) | integer | 0% | - | - |
edu__higher_short__both |
Higher education, short (both, persons 16+) | integer | 0% | - | - |
edu__higher_short__male |
Higher education, short (male, persons 16+) | integer | 0% | - | - |
edu__higher_short__female |
Higher education, short (female, persons 16+) | integer | 0% | - | - |
edu__higher_long__both |
Higher education, long (both, persons 16+) | integer | 0% | - | - |
edu__higher_long__male |
Higher education, long (male, persons 16+) | integer | 0% | - | - |
edu__higher_long__female |
Higher education, long (female, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__both |
Tertiary vocational education (both, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__male |
Tertiary vocational education (male, persons 16+) | integer | 0% | - | - |
edu__tertiary_vocational__female |
Tertiary vocational education (female, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__both |
Unknown or no completed education (both, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__male |
Unknown or no completed education (male, persons 16+) | integer | 0% | - | - |
edu__unknown_or_none__female |
Unknown or no completed education (female, persons 16+) | integer | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 3101, 3103, 3105, 3107, 3110 |
employment_by_industry__employed_persons_by_place_of_residence |
employment by industry employed persons by place of residence | integer | SEL | 0% | 34 | 14261, 25062, 27659, 40006, 2061 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | employment_by_industry, employment_by_industry,... |
admin_name |
admin name | string | 0% | 100 | Halden, Moss, Sarpsborg, Fredrikstad, Hvaler |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
nace2007_code |
nace2007 code | string | 0% | 1 | 00-99, 00-99, 00-99, 00-99, 00-99 |
nace2007_name |
nace2007 name | string | 0% | 1 | All industries, All industries, All industries, All... |
kjonn_code |
kjonn code | float | 0% | 1 | 0, 0, 0, 0, 0 |
kjonn_name |
kjonn name | string | 0% | 1 | Both sexes, Both sexes, Both sexes, Both sexes, Both sexes |
alder_code |
alder code | string | 0% | 1 | 15-74, 15-74, 15-74, 15-74, 15-74 |
alder_name |
alder name | string | 0% | 1 | 15-74 years, 15-74 years, 15-74 years, 15-74 years, 15-74 years |
year |
year | float | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
employment_by_industry__employed_persons_by_place_of_work |
employment by industry employed persons by place of work | integer | 0% | 34 | 13093, 22231, 29150, 34266, 1276 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 3101, 3103, 3105, 3107, 3110 |
households_income__total_income_median_nok |
households income total income median nok | integer | SEL | 0% | 98 | 766100, 804100, 784100, 800000, 907800 |
households_income__income_after_taxes_median_nok |
households income income after taxes median nok | integer | SEL | 0% | 96 | 624100, 646500, 637700, 647800, 719600 |
households_income__number_of_households |
households income number of households | integer | SEL | 0% | 98 | 15359, 25197, 27755, 40096, 2306 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | households_income, households_income, households_income,... |
admin_name |
admin name | string | 0% | 100 | Halden, Moss, Sarpsborg, Fredrikstad, Hvaler |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
husholdtype_code |
husholdtype code | float | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
husholdtype_name |
husholdtype name | string | 0% | 1 | All households, All households, All households, All... |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 34 | 3101, 3101, 3101, 3103, 3103 |
landbakgrunn_code |
landbakgrunn code | float | CCL | 0% | 1 | 999, 999, 999, 999, 999 |
immigrants_by_background__persons |
immigrants by background persons | integer | CCL | 0% | 100 | 5916, 4550, 1366, 13405, 10370 |
immigrants_by_background__per_cent_of_population |
immigrants by background per cent of population | float | CCL | 0% | 99 | 18.44, 14.18, 4.26, 25.19, 19.49 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | immigrants_by_background, immigrants_by_background,... |
admin_name |
admin name | string | 0% | 34 | Halden, Halden, Halden, Moss, Moss |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
innvandrkat_code |
innvandrkat code | string | 0% | 3 | B-C, B, C, B-C, B |
innvandrkat_name |
innvandrkat name | string | 0% | 3 | Immigrants and Norwegian-born to immigrant parents,... |
landbakgrunn_name |
landbakgrunn name | string | 0% | 1 | Total, Total, Total, Total, Total |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 3101, 3103, 3105, 3107, 3110 |
migration_flows__immigration |
migration flows immigration | integer | CCL | 0% | 33 | 253, 804, 351, 485, 13 |
migration_flows__emmigration |
migration flows emmigration | integer | CCL | 0% | 30 | 147, 265, 200, 348, 9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | migration_flows, migration_flows, migration_flows,... |
admin_name |
admin name | string | 0% | 100 | Halden, Moss, Sarpsborg, Fredrikstad, Hvaler |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | float | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
migration_flows__in_migration |
migration flows in migration | integer | 0% | 34 | 1403, 3377, 3127, 4250, 269 |
migration_flows__out_migration |
migration flows out migration | integer | 0% | 34 | 1274, 2768, 2633, 3789, 307 |
migration_flows__net_migration_total |
migration flows net migration total | integer | 0% | 34 | 129, 609, 494, 461, -38 |
migration_flows__in_migration_domestic |
migration flows in migration domestic | integer | 0% | 34 | 1150, 2573, 2776, 3765, 256 |
migration_flows__out_migration_domestic |
migration flows out migration domestic | integer | 0% | 34 | 1127, 2503, 2433, 3441, 298 |
migration_flows__net_migration_domestic |
migration flows net migration domestic | integer | 0% | 33 | 23, 70, 343, 324, -42 |
migration_flows__net_migration_not_domestic |
migration flows net migration not domestic | integer | 0% | 33 | 106, 539, 151, 137, 4 |
migration_flows__net_migration_per_1000_mean_population |
migration flows net migration per 1000 mean population | integer | 0% | 33 | 4, 11.5, 8.2, 5.4, -8 |
migration_flows__domestic_net_migration_per_1000_mean_population |
migration flows domestic net migration per 1000 mean population | float | 0% | 31 | 0.7, 1.3, 5.7, 3.8, -8.9 |
migration_flows__net_immigration_and_emigration_per_1000_mean_population |
migration flows net immigration and emigration per 1000 mean population | float | 0% | 29 | 3.3, 10.2, 2.5, 1.6, 0.8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 34 | 3101, 3101, 3101, 3103, 3103 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | personal_income_tax, personal_income_tax,... |
admin_name |
admin name | string | 0% | 34 | Halden, Halden, Halden, Moss, Moss |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
kjonn_code |
kjonn code | float | 0% | 3 | 0, 2, 1, 0, 2 |
kjonn_name |
kjonn name | string | 0% | 3 | Both sexes, Females, Males, Both sexes, Females |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
personal_income_tax__average_gross_income_nok |
personal income tax average gross income nok | integer | 0% | 97 | 533400, 454700, 611100, 580900, 495800 |
personal_income_tax__average_personal_income_wages_nok |
personal income tax average personal income wages nok | integer | 0% | 96 | 339100, 281700, 395800, 381300, 314900 |
personal_income_tax__average_income_deduction_nok |
personal income tax average income deduction nok | integer | 0% | 89 | 151100, 141100, 161000, 162400, 153900 |
personal_income_tax__average_assessed_taxes_nok |
personal income tax average assessed taxes nok | integer | 0% | 98 | 121200, 91000, 151000, 141400, 109500 |
personal_income_tax__average_ordinary_income_after_special_deduction_nok |
personal income tax average ordinary income after special deduction nok | integer | 0% | 100 | 394300, 317700, 469900, 435200, 349300 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 3101, 3103, 3105, 3107, 3110 |
population_and_area__population_per_1_1_persons |
population and area population per 1 1 persons | integer | SEL | 0% | 34 | 32082, 53207, 60614, 86243, 4714 |
population_and_area__land_area_km |
population and area land area km | integer | SEL | 0% | 34 | 595, 128, 370, 284, 90 |
population_and_area__population_per_km_land_area |
population and area population per km land area | integer | SEL | 0% | 33 | 54, 416, 164, 304, 52 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_and_area, population_and_area,... |
admin_name |
admin name | string | 0% | 100 | Halden, Moss, Sarpsborg, Fredrikstad, Hvaler |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
population_and_area__area_km |
population and area area km | integer | 0% | 34 | 642, 138, 406, 293, 90 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 1 | 3101, 3101, 3101, 3101, 3101 |
population_by_sex_age__persons |
population by sex age persons | integer | SEL | 0% | 76 | 114, 133, 130, 108, 150 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_by_sex_age, population_by_sex_age,... |
admin_name |
admin name | string | 0% | 1 | Halden, Halden, Halden, Halden, Halden |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
kjonn_code |
kjonn code | float | 0% | 1 | 2, 2, 2, 2, 2 |
kjonn_name |
kjonn name | string | 0% | 1 | Females, Females, Females, Females, Females |
alder_code |
alder code | float | 0% | 100 | 000, 001, 002, 003, 004 |
alder_name |
alder name | string | 0% | 100 | 0 years, 1 year, 2 years, 3 years, 4 years |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 3101, 3103, 3105, 3107, 3110 |
population_changes__population_1_january |
population changes population 1 january | integer | SEL | 0% | 34 | 32082, 53207, 60614, 86243, 4714 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | population_changes, population_changes,... |
admin_name |
admin name | string | 0% | 100 | Halden, Moss, Sarpsborg, Fredrikstad, Hvaler |
admin_level |
admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | float | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
region_code |
region code | float | SEL | 0% | 100 | 03010100, 03010200, 03010300, 03010500, 03010600 |
households_income__total_income_median_nok |
households income total income median nok | integer | SEL | 0% | 98 | 598200, 635100, 716900, 832900, 886000 |
households_income__income_after_taxes_median_nok |
households income income after taxes median nok | integer | SEL | 0% | 97 | 466000, 491000, 542500, 617900, 647100 |
households_income__number_of_households |
households income number of households | integer | SEL | 0% | 98 | 841, 7480, 3087, 3337, 8393 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
topic |
topic | string | 0% | 1 | households_income, households_income, households_income,... |
admin_name |
admin name | string | 0% | 96 | Sentrum 1, Sentrum 2, Sentrum 3, Skillebekk, Frogner |
husholdtype_code |
husholdtype code | float | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
husholdtype_name |
husholdtype name | string | 0% | 1 | All households, All households, All households, All... |
year |
year | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
gns_language_code |
gns_language_code | string | CCL | 0% | 22 | nor, sme, smj, sma, fin |
gns_language_name |
gns_language_name | string | CCL | 0% | 22 | Norwegian, Northern Sami, Lule Sami, Southern Sami, Finnish |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 14 | 37497, 806, 466, 356, 132 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 14 | 94.6607, 2.0347, 1.1764, 0.8987, 0.3332 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 0, 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NOR |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Norway |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 22 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9968 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 12 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 94661 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 68498 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 94658 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 14467 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 10708 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 27206 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 21136 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 21520 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 14060 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 26540 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 18937 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 396 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 391 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1771 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1695 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1924 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 744 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 834 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 825 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 3 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | 14866644, 14866645, -271233, -272635, -273839 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 100 | Agder, Innlandet, Møre og Romsdal, Nordland, Oslo |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 13 | NO-42, NO-34, NO-15, NO-18, NO-03 |
parent_code |
parent_code | string | 0% | 13 | NO-42, NO-34, NO-15, NO-18, NO-03 |
gns_prominence_band |
gns_prominence_band | integer | 0% | 1 | 9, 9, 9, 9, 9 |
latitude |
latitude | float | 0% | 99 | 58.75, 61.0, 62.666667, 67.0, 59.9 |
longitude |
longitude | float | 0% | 100 | 7.83333, 10.416666, 7.833333, 14.666667, 10.716667 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 32VML3248912803, 32VNN7661763616, 32VMQ4023548992,... |
name_variant_count |
name_variant_count | integer | 0% | 5 | 2, 2, 4, 2, 2 |
ⓘ 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 | NOR, NOR, NOR, NOR, NOR |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Norway, Agder og Rogaland, Hedmark og Oppland,... |
human_development_index |
Human development index | float | SEL | 0% | 67 | 0.855, 0.846, 0.822, 0.824, 0.871 |
health_index |
Health index | float | SEL | 0% | 49 | 0.871, 0.876, 0.867, 0.858, 0.862 |
education_index |
Education index | float | SEL | 0% | 88 | 0.778, 0.761, 0.752, 0.754, 0.812 |
income_index |
Income index | float | SEL | 0% | 75 | 0.923, 0.908, 0.852, 0.866, 0.943 |
life_expectancy |
Life expectancy | float | SEL | 0% | 85 | 76.59, 76.94, 76.34, 75.74, 76.04 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 88 | 11.68, 11.58, 11.21, 11.34, 12.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NO, NO, NO, NO, NO |
population_count |
Population count | float | SEL | 2% | 65 | 3581239.0, 3609800.0, 3638918.0, 3666537.0, 3694339.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 73.549756097561, 73.5504878048781, 73.4480487804878,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 1451.2850779894, 1570.63804374719, 1678.26725653992,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 56 | 22.6, 22.1, 21.5, 21.0, 20.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 70% | 14 | 10.8, 10.8, 11.4, 12.0, 11.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Norway, Norway, Norway, Norway, Norway |
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 | NO, NO, NO, NO, NO |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 73.549756097561, 73.5504878048781, 73.4480487804878,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 49 | 12.0, 12.0, 12.0, 11.9, 11.7 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 56 | 22.6, 22.1, 21.5, 21.0, 20.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 9 | 9.0, 9.0, 9.0, 9.0, 9.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 45 | 2.85, 2.94, 2.91, 2.93, 2.98 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 40 | 17.3, 17.3, 17.1, 17.3, 17.7 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 30 | 9.1, 9.2, 9.4, 10.0, 9.5 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 9% | 47 | 1.2, 1.2, 1.1, 1.2, 1.3 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 42% | 33 | 5.90000009536743, 5.69999980926514, 5.30000019073486,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 13 | 90.0, 90.0, 85.0, 83.0, 80.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.70270586, 8.00972462, 8.98267078, 9.19355106, 8.79598331 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Norway, Norway, Norway, Norway, Norway |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
broadcast_media_text |
broadcast_media_text | string | 0% | 2 | a coastal radio station has been remotely operated since... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 2 | 1994.0, 3.0 |
source_section |
source_section | string | 0% | 1 | Communications, Communications |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_section |
source_section | string | 0% | 1 | Economy, Economy |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| 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 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
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 | 41.1 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 41.1 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 127.335 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 127.335 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 30.978 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 30.978 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 13.232 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 13.232 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 7.025 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 7.025 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 1.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 1.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 9.2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 9.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 89.1% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 89.1 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
coal_production_text |
coal_production_text | string | 0% | 1 | 120,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 120000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.096 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.096 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 60,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 60000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1.042 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.042 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 2 million metric tons (2023 est.) |
| +21 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% | 2 | 0.0, 2.7 |
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 2 | pollutants transported from southerly latitudes by winds... |
climate_text |
climate_text | string | 0% | 2 | arctic maritime with frequent storms and persistent fog,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 2 | 0% (2011 est.), 2.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 2 | 100% (2018 est.), 64% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 2 | 100.0, 64.0 |
source_section |
source_section | string | 0% | 1 | Environment, Environment |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
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 | Norwegian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Norwegian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Norwegian 81.5% (includes about 60,000 Sami), other... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 81.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 2 | 377.0, 323802.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 2 | 377.0, 304282.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 2 | 0.0, 19520.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 2 | 0.0, 2566.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 2 | 124.1, 25148.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 2 | 2277.0, 2469.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0, 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 2 | 0.0, 2.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 2 | 0.0, 337.0 |
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 2 | Northern Europe, island between the Greenland Sea and... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 2 | 71 00 N, 8 00 W, 62 00 N, 10 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 2 | 71.0, 62.0 |
map_references_text |
map_references_text | string | 0% | 2 | Arctic Region, Europe |
area_total_text |
area_total_text | string | 0% | 2 | 377 sq km, 323,802 sq km |
area_land_text |
area_land_text | string | 0% | 2 | 377 sq km, 304,282 sq km |
area_water_text |
area_water_text | string | 0% | 2 | 0 sq km, 19,520 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 2 | slightly more than twice the size of Washington, D.C.,... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 2 | 0 km, 2,566 km |
coastline_text |
coastline_text | string | 0% | 2 | 124.1 km, 25,148 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm, 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0, 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 2 | 24 nm, 10 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 2 | 24.0, 10.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm, 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0, 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 2 | 200-m depth or to the depth of exploitation, 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0, 200.0 |
climate_text |
climate_text | string | 0% | 2 | arctic maritime with frequent storms and persistent fog,... |
terrain_text |
terrain_text | string | 0% | 2 | volcanic island, partly covered by glaciers, glaciated;... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 2 | Haakon VII Toppen on Beerenberg 2,277, Galdhopiggen 2,469 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 2 | Norwegian/Greenland Seas 0 m, Norwegian Sea 0 m |
elevation_note |
elevation_note | string | 50% | 1 | note: Beerenberg volcano has numerous peaks; the highest... |
natural_resources_text |
natural_resources_text | string | 0% | 2 | none, petroleum, natural gas, iron ore, copper, lead,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 2 | 0% (2011 est.), 2.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 2 | 100% (2018 est.), 64% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 2 | 100.0, 64.0 |
irrigated_land_text |
irrigated_land_text | string | 0% | 2 | 0 sq km (2022), 337 sq km (2016) |
natural_hazards_text |
natural_hazards_text | string | 0% | 2 | dominated by the volcano Beerenberg volcanism:... |
natural_hazards_numeric |
natural_hazards_numeric | float | 0% | 1 | 2227.0, 2227.0 |
| +4 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 | NOR, NOR |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 2 | none, Kingdom of Norway |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 2 | Jan Mayen, Norway |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 2 | named after Dutch Captain Jan Jacobszoon MAY, one of the... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 50% | 1 | 1614.0 |
dependency_status_text |
dependency_status_text | string | 50% | 1 | territory of Norway; since 1994, administered from Oslo... |
dependency_status_numeric |
dependency_status_numeric | float | 50% | 1 | 1994.0 |
legal_system_text |
legal_system_text | string | 0% | 2 | the laws of Norway apply, mixed system of civil, common,... |
flag_text |
flag_text | string | 0% | 2 | the flag of Norway is used, description: red with a blue... |
country_name |
country_name | string | 0% | 2 | Jan Mayen, Norway |
source_section |
source_section | string | 0% | 1 | Government, Government |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 2 | This desolate, mountainous island in the Arctic Ocean... |
background_numeric |
background_numeric | float | 0% | 2 | 1614.0, 994.0 |
source_section |
source_section | string | 0% | 1 | Introduction, Introduction |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Bokmal Norwegian (official), Nynorsk Norwegian... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Verdens Faktabok, den essensielle kilden for... |
languages_note |
languages_note | string | 0% | 1 | note: Sami has three dialects (Lule, North Sami, and... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
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 | 129,894 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 129894.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 1,621 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 1621.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_note_text |
military_note_text | string | 0% | 2 | defense is the responsibility of Norway, the Norwegian... |
source_section |
source_section | string | 0% | 1 | Military and Security, Military and Security |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 2 | no permanent inhabitants, 5,509,733 (2024 est.) |
population_note |
population_note | string | 50% | 1 | note: military personnel present on the south side of... |
source_section |
source_section | string | 0% | 1 | People and Society, People and Society |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 3.1 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 2.6 |
composition_ethnicity_primary_label_synth |
Norwegian | string | CCL | 0% | - | Norwegian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Church of Norway (Evangelical Lutheran - official)... |
religions_numeric |
religions_numeric | float | 0% | 1 | 67.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/no.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_church_of_norway_evangelical_lutheran_official_pct_synth |
Church of Norway (Evangelical Lutheran - official) | numeric | 0% | - | 67.5 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 3.1 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 3.8 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 19.9 |
composition_ethnicity_norwegian_pct_synth |
Norwegian | numeric | 0% | - | 81.5 |
composition_ethnicity_other_european_pct_synth |
other European | numeric | 0% | - | 8.9 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 9.6 |
composition_ethnicity_primary_share_pct_synth |
Norwegian | numeric | 0% | - | 81.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
country_name |
Country name | string | SEL | 0% | 1 | Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | the Norwegian Space Agency (NOSA, aka Norsk Romsenter;... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 1987.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Andøya Space Center (Andøya Island; note - first... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | jointly designs and builds satellites with foreign... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1962 - launched first research rocket1992 - began... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1962.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR |
country_name |
Country name | string | SEL | 0% | 2 | Jan Mayen, Norway |
admin_level |
Admin level | string | SEL | 0% | 1 | national, national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_section |
source_section | string | 0% | 1 | Transportation, Transportation |
source_profile_path |
source_profile_path | string | 0% | 2 | europe/jn.json, europe/no.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Norway |
admin_code |
Admin code | string | SEL | 0% | 1 | 63113933B3110271969761 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 323061.4177 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 5154422 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 15.95 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
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% | 11 | Viken, Oslo, Vestland, Rogaland, Trøndelag |
admin_code |
Admin code | string | SEL | 0% | 11 | 71437522B91482774809601, 71437522B68338217323905,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 11 | 24561.9674, 451.4239, 33713.2821, 9338.6549, 42048.9297 |
pop_2024 |
Population count | integer | SEL | 0% | 11 | 1268611, 701916, 561332, 456857, 455576 |
pop_density_2024 |
Population density | float | SEL | 0% | 11 | 51.65, 1554.89, 16.65, 48.92, 10.83 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 8 | Oslo, Stavanger, Trondheim, Bergen, Lagunen |
admin_code |
Admin code | integer | SEL | 0% | 8 | 828, 406, 554, 66, 245 |
area_sqkm |
Area sqkm | float | SEL | 0% | 8 | 244.8164, 82.2599, 57.2295, 50.1718, 22.0752 |
pop_2024 |
Population count | integer | SEL | 0% | 8 | 832764, 150530, 126213, 92986, 34191 |
pop_density_2024 |
Population density | float | SEL | 0% | 8 | 3401.59, 1829.93, 2205.38, 1853.35, 1548.84 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 8 | 889573, 205533, 142104, 138237, 51871 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 8 | 0.936, 0.732, 0.888, 0.673, 0.659 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 18 | finn1318, inar1241, kven1236, lule1254, nort2671 |
name |
Name | string | CCL | 0% | 18 | Finnish, Inari Saami, Kven Finnish, Lule Saami, North Saami |
iso639_3 |
Iso639 3 | string | CCL | 11% | 16 | fin, smn, fkv, smj, sme |
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 | ural1272, ural1272, ural1272, ural1272, ural1272 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 13 | nucl1717, main1280, nucl1717, lule1256, cent2240 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 12 | ['EE', 'FI', 'NO', 'RU', 'SE'], ['FI', 'NO'], ['FI',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 8 | 7, 0, 0, 0, 7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 18 | 64.7628, 69.4229, 70.31894, 67.2759, 68.725 |
longitude |
longitude | float | 0% | 18 | 25.5577, 27.8658, 25.56202, 17.8057, 22.1113 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NO, NO, NO, NO, NO |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 11 | 0.55, 0.85, 0.96, 0.74, -23.01 |
grocery |
grocery | float | 0% | 11 | 3.32, 1.15, 1.01, -0.35, -4.99 |
parks |
parks | float | 0% | 11 | 7.83, 3.14, 4.1, 5.21, 27.37 |
transit |
transit | float | 0% | 11 | -4.93, -12.3, -0.63, 0.13, -40.06 |
workplaces |
workplaces | float | 0% | 11 | -23.76, -17.3, -25.97, -20.42, -35.08 |
residential |
residential | float | 0% | 11 | 1.78, 1.28, 0.9, 0.84, 8.03 |
region |
region | string | 0% | 11 | Agder, Innlandet, Møre og Romsdal, Nordland, Oslo |
observation_count |
observation_count | integer | 0% | 11 | 9517, 15383, 12758, 9486, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 8 | Oslo, Stavanger, Trondheim, Bergen, Tromsø |
country_code |
Country code | string | SEL | 0% | 1 | NOR, NOR, NOR, NOR, NOR |
population |
Population count | integer | SEL | 0% | 8 | 889573, 205533, 142104, 138237, 53615 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 8 | 828, 406, 554, 66, 1076 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Norway, Norway, Norway, Norway, Norway |
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 | NOR |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Norwegians |
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 | 38501000 |
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 | NOR |
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 | 7 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 7 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 7 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 106 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 4 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 114 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 4 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 75 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 4.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 168 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 3.4 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 136 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.1 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 4 |
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 | 161 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 3.75 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 3.81 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 60 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NOR |
| 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 |
|---|---|---|---|
| Norwegian (nor) | 80,011 | 70.0% | — |
| Northern Sami (sme) | 30,871 | 27.0% | — |
| Finnish (Kven) (fkv) | 2,141 | 1.9% | — |
| Lule Sami (smj) | 469 | 0.4% | — |
| Southern Sami (sma) | 349 | 0.3% | — |
| Finnish (fin) | 154 | 0.1% | — |
| Swedish (swe) | 124 | 0.1% | — |
| English (eng) | 106 | 0.1% | — |
123,969 distinct features ·
22 languages ·
2 scripts ·
12 names in non-Roman script ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Fri, 14 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Statistics Norway (SSB) | official_nso | api |
| Global Data Lab | academic | api |
| commercial | bulk_download | |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Ethnic Power Relations Dataset | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.