Statistics API for Poland

Access real-time Polish statistics and integrate data from Poland directly into your products.

Data from trusted sources

Eurostat
GUS
DBW
NBP
OECD

Access Polish statistics via API

Query thousands of datasets for Poland 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 Polish data anywhere

Keep your products always current with Polish 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 Poland

Query thousands of Polish statistics via Monitly API

GET/api/datasets?country=POL&limit=100
{
  "data": [
    {
      "id": 182,
      "dataset_name": "Harmonised risk indicator 1 for pesticides by categorisation of active substances",
      "last_update": "2025-08-20T23:00:00+0200"
    },
    {
      "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": 186,
      "dataset_name": "Utilised agricultural area (UAA) managed by low-, medium- and high-input farms",
      "last_update": "2024-01-05T23:00:00+0100"
    },
    {
      "id": 188,
      "dataset_name": "Animal populations by NUTS 2 region",
      "last_update": "2025-07-22T11:00:00+0200"
    },
    {
      "id": 190,
      "dataset_name": "Selling prices of animal products (absolute prices) - annual price (from 2000 onwards)",
      "last_update": "2025-05-15T11:00:00+0200"
    },
    {
      "id": 191,
      "dataset_name": "Selling prices of crop products (absolute prices) - annual price (from 2000 onwards)",
      "last_update": "2025-05-15T11:00:00+0200"
    },
    {
      "id": 192,
      "dataset_name": "Purchase prices of the means of agricultural production (absolute prices) - annual price (from 2000 onwards)",
      "last_update": "2025-05-15T11:00:00+0200"
    },
    {
      "id": 195,
      "dataset_name": "Price indices of the means of agricultural production, input (2015 = 100) - annual data",
      "last_update": "2024-01-19T11:00:00+0100"
    },
    {
      "id": 196,
      "dataset_name": "Price indices of the means of agricultural production, input (2015 = 100) - quarterly data",
      "last_update": "2023-12-20T11:00:00+0100"
    },
    {
      "id": 197,
      "dataset_name": "Price indices of agricultural products, output (2015 = 100) - annual data",
      "last_update": "2024-01-19T11:00:00+0100"
    },
    {
      "id": 198,
      "dataset_name": "Price indices of agricultural products, output (2015 = 100) - quarterly data",
      "last_update": "2023-12-20T11:00:00+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": 214,
      "dataset_name": "Hatcheries - hens, annual data",
      "last_update": "2025-06-17T23:00:00+0200"
    },
    {
      "id": 215,
      "dataset_name": "Hatcheries - poultry other than hens - annual data",
      "last_update": "2025-06-17T23:00:00+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": 238,
      "dataset_name": "International extra-EU freight and mail air transport between reporting and partner world regions and countries by type of schedule (from 2008 and onwards)",
      "last_update": "2025-07-03T23:00:00+0200"
    },
    {
      "id": 239,
      "dataset_name": "International extra-EU freight and mail air transport by reporting country and partner world region and countries (1993-2007)",
      "last_update": "2025-07-03T23:00:00+0200"
    },
    {
      "id": 245,
      "dataset_name": "Commercial airports by type",
      "last_update": "2025-03-18T23:00:00+0100"
    },
    {
      "id": 246,
      "dataset_name": "International extra-EU air passenger transport between reporting and partner world regions and countries by type of schedule (from 2008 and onwards)",
      "last_update": "2025-07-22T23:00:00+0200"
    },
    {
      "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": 299,
      "dataset_name": "Persons employed in circular economy sectors",
      "last_update": "2025-03-21T23:00:00+0100"
    },
    {
      "id": 300,
      "dataset_name": "Private investment and gross added value related to circular economy sectors",
      "last_update": "2025-03-24T23:00:00+0100"
    },
    {
      "id": 302,
      "dataset_name": "Consumption footprint",
      "last_update": "2025-03-26T23:00:00+0100"
    },
    {
      "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": 313,
      "dataset_name": "Trade in recyclable raw materials",
      "last_update": "2025-04-23T23:00:00+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": 369,
      "dataset_name": "Legal cases processed in first instance courts by legal status of the court process (since 2022)",
      "last_update": "2025-06-26T23:00:00+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": 380,
      "dataset_name": "Bribery by legal status and sex of the person involved",
      "last_update": "2025-08-12T23:00:00+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": 392,
      "dataset_name": "Suspects of migrant smuggling by citizenship",
      "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": 394,
      "dataset_name": "Victims of trafficking in human beings by form of exploitation, sex and age",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 395,
      "dataset_name": "Victims of trafficking in human beings by form of exploitation, sex and age",
      "last_update": "2025-04-03T11:00:00+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": 398,
      "dataset_name": "Victims of trafficking in human beings by citizenship",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 399,
      "dataset_name": "Victims of trafficking in human beings by citizenship",
      "last_update": "2024-06-03T23:00:00+0200"
    },
    {
      "id": 400,
      "dataset_name": "Victims of trafficking in human beings by citizenship and sex",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "id": 401,
      "dataset_name": "Victims of trafficking in human beings by all forms of exploitation",
      "last_update": "2025-04-03T11:00:00+0200"
    },
    {
      "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"
    }
  ],
  "pagination": {
    "total": 10679,
    "hasMore": true,
    "limit": 100,
    "offset": 0
  },
  "_note": "Showing 100 of 10679 datasets for Poland. Use limit parameter to get more."
}

How to use statistics API for Poland

1

Authenticate easily

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

2

Filter by country

Get data for Poland and over 150 other countries.

3

Integrate seamlessly

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

Key benefits

Save development time

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

Scale instantly

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