Statistics API for Norway

Access real-time Norwegian statistics and integrate data from Norway directly into your products.

Data from trusted sources

Eurostat
World Bank Data
OECD
UN Data
IMF

Access Norwegian statistics via API

Query thousands of datasets for Norway across industries, sectors, and timeframes — all available via API.

Economic Indicators
Population Statistics
Trade & Commerce
Environmental Data
Health & Education
Technology & Innovation
Energy & Resources
Social Development
Financial Markets
Climate & Weather

Stream live Norwegian data anywhere

Keep your products always current with Norwegian statistics that update automatically.

Industry Revenue
Market Demand
Trade Volume
Inflation
Sep 20252.3%
Oct 20252.8%
Nov 20253.1%
Dec 20252.9%
Jan 20262.8%

Explore datasets for Norway

Query thousands of Norwegian statistics via Monitly API

GET/api/datasets?country=NOR&limit=100
{
  "data": [
    {
      "id": 183,
      "dataset_name": "Pesticide sales by categorisation of active substances",
      "last_update": "2025-06-03T11:00:00+0200"
    },
    {
      "id": 184,
      "dataset_name": "Pesticide use in agriculture",
      "last_update": "2025-02-25T23:00:00+0100"
    },
    {
      "id": 206,
      "dataset_name": "Crop production - historical data (1955-1999)",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 208,
      "dataset_name": "Crop production by NUTS 2 region - historical data (1975-1999)",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 216,
      "dataset_name": "Cows'milk collection and products obtained - annual data",
      "last_update": "2025-09-18T23:00:00+0200"
    },
    {
      "id": 234,
      "dataset_name": "Commercial aircraft fleet by age of aircraft and country of operator",
      "last_update": "2024-11-15T23:00:00+0100"
    },
    {
      "id": 235,
      "dataset_name": "Commercial aircraft fleet by age of aircraft and country of registration",
      "last_update": "2024-11-15T23:00:00+0100"
    },
    {
      "id": 236,
      "dataset_name": "Commercial aircraft fleet by aircraft category and country of operator",
      "last_update": "2024-11-15T23:00:00+0100"
    },
    {
      "id": 237,
      "dataset_name": "Commercial aircraft fleet by aircraft category and country of registration",
      "last_update": "2024-11-15T23:00:00+0100"
    },
    {
      "id": 245,
      "dataset_name": "Commercial airports by type",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 255,
      "dataset_name": "Freight and mail air transport over national territory (including territorial sea) - million tonne-km",
      "last_update": "2025-03-03T23:00:00+0100"
    },
    {
      "id": 256,
      "dataset_name": "Passenger air transport over national territory (including territorial sea) - million passenger-km",
      "last_update": "2025-03-03T23:00:00+0100"
    },
    {
      "id": 257,
      "dataset_name": "Business demography by legal form and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 258,
      "dataset_name": "Business demography by legal form and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 259,
      "dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 260,
      "dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 261,
      "dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 262,
      "dataset_name": "Employer business demography by legal form and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 263,
      "dataset_name": "Employer business demography by legal form and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 264,
      "dataset_name": "Employer business demography by size class and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 265,
      "dataset_name": "Employer business demography by size class and NACE Rev. 2 activity (2004-2020)",
      "last_update": "2024-01-10T23:00:00+0100"
    },
    {
      "id": 266,
      "dataset_name": "High growth enterprises (growth by 10% or more) and related employment by NACE Rev. 2 (2008-2020)",
      "last_update": "2025-01-03T23:00:00+0100"
    },
    {
      "id": 295,
      "dataset_name": "International trade in services (since 2010) (BPM6)"
    },
    {
      "id": 304,
      "dataset_name": "Material import dependency",
      "last_update": "2025-07-04T23:00:00+0200"
    },
    {
      "id": 306,
      "dataset_name": "Resource productivity",
      "last_update": "2025-07-04T23:00:00+0200"
    },
    {
      "id": 309,
      "dataset_name": "Waste generation per capita",
      "last_update": "2025-09-22T23:00:00+0200"
    },
    {
      "id": 316,
      "dataset_name": "Recycling rate of all waste excluding major mineral waste",
      "last_update": "2024-11-28T23:00:00+0100"
    },
    {
      "id": 321,
      "dataset_name": "Population by age and NUTS 2 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 324,
      "dataset_name": "Population by year of arrival in the country, groups of current activity status and NUTS 2 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 326,
      "dataset_name": "Population by year of arrival in the country, education and NUTS 2 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 329,
      "dataset_name": "Population by current activity status, age and NUTS 2 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 332,
      "dataset_name": "Population by country of birth, age groups, type of housing arrangements and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 338,
      "dataset_name": "Population by country of citizenship, age groups, type of housing arrangements and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 342,
      "dataset_name": "Dwellings by type of building, number of occupants and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 343,
      "dataset_name": "Dwellings by type of building, number of rooms or useful floor space and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 344,
      "dataset_name": "Dwellings by type of building, ownership status and NUTS 2 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 345,
      "dataset_name": "Conventional dwellings by occupancy status, type of building and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 346,
      "dataset_name": "Conventional dwellings by occupancy status, period of construction and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 351,
      "dataset_name": "Families by household composition, size of family nucleus and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 352,
      "dataset_name": "Population by family status, broad age groups and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 354,
      "dataset_name": "Private households by household composition, size and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 355,
      "dataset_name": "Private households by household composition, tenure status and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 357,
      "dataset_name": "Population by size of the locality, housing arrangements and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 359,
      "dataset_name": "Population by size of the locality, age groups and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 360,
      "dataset_name": "Population by age and marital status",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 362,
      "dataset_name": "Population by marital status and household status",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 363,
      "dataset_name": "Population by marital status, broad age groups and NUTS 3 region",
      "last_update": "2025-05-21T23:00:00+0200"
    },
    {
      "id": 368,
      "dataset_name": "Legal cases processed in first instance courts by legal status of the court process (until 2022)",
      "last_update": "2024-04-23T23:00:00+0200"
    },
    {
      "id": 370,
      "dataset_name": "Persons brought before criminal courts by legal status of the court process",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 371,
      "dataset_name": "Police-recorded offences by NUTS 3 region",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 372,
      "dataset_name": "Intentional homicide and sexual offences by legal status and sex of the person involved",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 373,
      "dataset_name": "Intentional homicide and sexual offences by legal status and sex of the person involved",
      "last_update": "2024-04-23T23:00:00+0200"
    },
    {
      "id": 374,
      "dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 375,
      "dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
      "last_update": "2024-04-24T11:00:00+0200"
    },
    {
      "id": 376,
      "dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
      "last_update": "2024-04-24T11:00:00+0200"
    },
    {
      "id": 379,
      "dataset_name": "Suspects and offenders by age",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 381,
      "dataset_name": "Suspects and offenders by citizenship",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 382,
      "dataset_name": "Personnel in the criminal justice system by sex",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 383,
      "dataset_name": "Suspects and offenders by sex",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 384,
      "dataset_name": "Police-recorded offences by offence category",
      "last_update": "2025-08-12T23:00:00+0200"
    },
    {
      "id": 385,
      "dataset_name": "Police-recorded offences by offence category",
      "last_update": "2024-04-23T23:00:00+0200"
    },
    {
      "id": 386,
      "dataset_name": "Police-recorded offences by offence category",
      "last_update": "2024-04-23T23:00:00+0200"
    },
    {
      "id": 387,
      "dataset_name": "Prisoners by age and sex",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 388,
      "dataset_name": "Prison capacity and number of persons held",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 389,
      "dataset_name": "Prisoners by citizenship",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 390,
      "dataset_name": "Prisoners by offence category and sex",
      "last_update": "2025-08-12T23:00:00+0200"
    },
    {
      "id": 391,
      "dataset_name": "Prisoners by legal status of the trial process",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 393,
      "dataset_name": "Persons involved in migrant smuggling by legal status and sex",
      "last_update": "2025-04-23T11:00:00+0200"
    },
    {
      "id": 396,
      "dataset_name": "Persons involved in trafficking in human beings by legal status and sex",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 397,
      "dataset_name": "Persons involved in trafficking in human beings by legal status and sex",
      "last_update": "2024-01-31T11:00:00+0100"
    },
    {
      "id": 402,
      "dataset_name": "Victims of trafficking in human beings by sex and age",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 403,
      "dataset_name": "Victims of trafficking in human beings by sex and age",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 404,
      "dataset_name": "Cultural employment by age",
      "last_update": "2025-05-20T23:00:00+0200"
    },
    {
      "id": 405,
      "dataset_name": "Persons working as creative and performing artists, authors, journalists and linguists",
      "last_update": "2025-06-06T11:00:00+0200"
    },
    {
      "id": 406,
      "dataset_name": "Persons working as creative and performing artists, authors, journalists and linguists by individual and employment characteristics",
      "last_update": "2025-06-06T11:00:00+0200"
    },
    {
      "id": 407,
      "dataset_name": "Cultural employment by educational attainment level",
      "last_update": "2025-05-20T23:00:00+0200"
    },
    {
      "id": 408,
      "dataset_name": "Cultural employment by NACE Rev. 2 activity",
      "last_update": "2025-05-20T23:00:00+0200"
    },
    {
      "id": 409,
      "dataset_name": "Cultural employment by NUTS 2 region",
      "last_update": "2025-09-02T11:00:00+0200"
    },
    {
      "id": 410,
      "dataset_name": "Cultural employment by sex",
      "last_update": "2025-05-20T23:00:00+0200"
    },
    {
      "id": 510,
      "dataset_name": "Cultural employment by sex and selected labour market characteristics",
      "last_update": "2025-05-20T23:00:00+0200"
    },
    {
      "id": 511,
      "dataset_name": "Mean consumption expenditure of private households on cultural goods and services by COICOP consumption purpose",
      "last_update": "2025-04-24T23:00:00+0200"
    },
    {
      "id": 512,
      "dataset_name": "Mean consumption expenditure of private households on cultural goods and services by income quintile",
      "last_update": "2025-04-24T23:00:00+0200"
    },
    {
      "id": 515,
      "dataset_name": "Divorces by country of birth of wife and husband",
      "last_update": "2025-04-09T23:00:00+0200"
    },
    {
      "id": 516,
      "dataset_name": "Divorces by citizenship of wife and husband",
      "last_update": "2025-04-09T23:00:00+0200"
    },
    {
      "id": 517,
      "dataset_name": "Legally induced abortions by mother's age",
      "last_update": "2025-03-21T11:00:00+0100"
    },
    {
      "id": 520,
      "dataset_name": "Live births by mother's age and country of birth",
      "last_update": "2025-09-16T23:00:00+0200"
    },
    {
      "id": 521,
      "dataset_name": "Live births by mother's age and citizenship",
      "last_update": "2025-08-25T23:00:00+0200"
    },
    {
      "id": 522,
      "dataset_name": "Live births by mother's age and educational attainment level",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 523,
      "dataset_name": "Live births by mother's age and activity status",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 524,
      "dataset_name": "Live births by mother's age and legal marital status",
      "last_update": "2025-05-13T23:00:00+0200"
    },
    {
      "id": 525,
      "dataset_name": "Live births by mother's year of birth (age reached) and legal marital status",
      "last_update": "2025-05-13T23:00:00+0200"
    },
    {
      "id": 526,
      "dataset_name": "Live births by mother's age and newborn's sex",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 528,
      "dataset_name": "Live births (total) by month",
      "last_update": "2025-05-15T23:00:00+0200"
    },
    {
      "id": 529,
      "dataset_name": "Live births by mother's age and birth order",
      "last_update": "2025-04-01T23:00:00+0200"
    },
    {
      "id": 530,
      "dataset_name": "Live births by mother's year of birth (age reached) and birth order",
      "last_update": "2025-04-01T23:00:00+0200"
    },
    {
      "id": 532,
      "dataset_name": "Live births by birth weight and duration of gestation",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 540,
      "dataset_name": "Life expectancy by age and sex",
      "last_update": "2025-09-11T11:00:00+0200"
    },
    {
      "id": 545,
      "dataset_name": "Divorces by duration of marriage (reached during the year)",
      "last_update": "2025-04-09T23:00:00+0200"
    },
    {
      "id": 546,
      "dataset_name": "Divorce indicators",
      "last_update": "2025-04-09T23:00:00+0200"
    },
    {
      "id": 547,
      "dataset_name": "Marriage indicators",
      "last_update": "2025-07-09T11:00:00+0200"
    }
  ],
  "pagination": {
    "total": 6380,
    "hasMore": true,
    "limit": 100,
    "offset": 0
  },
  "_note": "Showing 100 of 6380 datasets for Norway. Use limit parameter to get more."
}

How to use statistics API for Norway

1

Authenticate easily

Secure API keys give you instant access to millions of datasets for Norway.

2

Filter by country

Get data for Norway and over 150 other countries.

3

Integrate seamlessly

Bring live Norwegian statistics into your apps, dashboards, or workflows in real time.

Key benefits

Save development time

Skip data cleaning — work with ready-to-use Norwegian datasets.

Scale instantly

From one chart to millions of requests, our API grows with your product.

Stay accurate

All Norwegian statistics come from verified, trusted sources.

Be flexible

Build custom apps, dashboards, and workflows with full control over Norwegian data.

Why developers choose Monitly API

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Countries covered with live statistics
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Total datasets ready to query and integrate

Norwegian statistics API for every developer

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Query Norwegian datasets and speed up your analysis.

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Embed Norwegian charts, power apps, or build data-driven products.

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