Statistics API for United Kingdom

Access real-time British statistics and integrate data from United Kingdom directly into your products.

Data from trusted sources

Eurostat
World Bank Data
OECD
UN Data
IMF

Access British statistics via API

Query thousands of datasets for United Kingdom 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 British data anywhere

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

Industry Revenue
Market Demand
Trade Volume
Inflation
Oct 20252.3%
Nov 20252.8%
Dec 20253.1%
Jan 20262.9%
Feb 20262.8%

Explore datasets for United Kingdom

Query thousands of British statistics via Monitly API

GET/api/datasets?country=GBR&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": 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": 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": 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": 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": 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": 513,
      "dataset_name": "Intra and extra-EU trade in cultural goods by product",
      "last_update": "2025-08-28T23:00:00+0200"
    },
    {
      "id": 514,
      "dataset_name": "Intra and extra-EU trade in cultural goods by product and partner",
      "last_update": "2025-08-28T23:00:00+0200"
    },
    {
      "id": 517,
      "dataset_name": "Legally induced abortions by mother's age",
      "last_update": "2025-03-21T11:00:00+0100"
    },
    {
      "id": 518,
      "dataset_name": "Abortion indicators",
      "last_update": "2025-05-08T11:00:00+0200"
    },
    {
      "id": 519,
      "dataset_name": "Legally induced abortions by mother's age and number of previous live births",
      "last_update": "2025-03-21T11:00:00+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"
    },
    {
      "id": 548,
      "dataset_name": "Marriages by sex and previous marital status",
      "last_update": "2025-07-09T11:00:00+0200"
    },
    {
      "id": 549,
      "dataset_name": "Marriages by previous legal union status of bride and groom",
      "last_update": "2025-07-09T11:00:00+0200"
    },
    {
      "id": 550,
      "dataset_name": "First-time marrying persons by age and sex",
      "last_update": "2025-06-13T23:00:00+0200"
    },
    {
      "id": 551,
      "dataset_name": "First marriage rates by age and sex",
      "last_update": "2025-06-13T23:00:00+0200"
    },
    {
      "id": 565,
      "dataset_name": "Population density by NUTS 3 region",
      "last_update": "2025-04-02T23:00:00+0200"
    },
    {
      "id": 580,
      "dataset_name": "Life expectancy by age, sex and NUTS 2 region",
      "last_update": "2025-06-05T11:00:00+0200"
    },
    {
      "id": 792,
      "dataset_name": "Low achieving 15-year-olds in reading, mathematics or science by sex",
      "last_update": "2023-12-14T11:00:00+0100"
    },
    {
      "id": 855,
      "dataset_name": "Financial aid to students by education level - as % of total public expenditure",
      "last_update": "2025-08-07T23:00:00+0200"
    },
    {
      "id": 856,
      "dataset_name": "Total educational expenditure by education level, programme orientation and type of source",
      "last_update": "2025-08-07T23:00:00+0200"
    },
    {
      "id": 945,
      "dataset_name": "Farm indicators by age and sex of the manager, economic size of the farm, utilised agricultural area and NUTS 2 region",
      "last_update": "2024-03-26T23:00:00+0100"
    },
    {
      "id": 959,
      "dataset_name": "Intra-mural Business Enterprise R&D Expenditures in Foreign Controlled Enterprises",
      "last_update": "2024-12-02T23:00:00+0100"
    },
    {
      "id": 976,
      "dataset_name": "Construction survey results - quarterly data",
      "last_update": "2024-06-27T11:00:00+0200"
    },
    {
      "id": 1254,
      "dataset_name": "Management of waste excluding major mineral waste, by waste management operations and waste flow",
      "last_update": "2024-11-28T23:00:00+0100"
    },
    {
      "id": 1256,
      "dataset_name": "Generation of waste by waste category, hazardousness and NACE Rev. 2 activity",
      "last_update": "2025-09-22T23:00:00+0200"
    },
    {
      "id": 1258,
      "dataset_name": "Management of waste excluding major mineral waste, by waste management operations",
      "last_update": "2024-11-28T23:00:00+0100"
    },
    {
      "id": 1266,
      "dataset_name": "Treatment of waste by waste category, hazardousness and waste management operations",
      "last_update": "2025-09-23T23:00:00+0200"
    },
    {
      "id": 1267,
      "dataset_name": "Annual freshwater abstraction by source and sector",
      "last_update": "2025-08-04T23:00:00+0200"
    },
    {
      "id": 1268,
      "dataset_name": "Water use balance",
      "last_update": "2025-08-04T23:00:00+0200"
    },
    {
      "id": 1269,
      "dataset_name": "Water use by supply category and economical sector",
      "last_update": "2025-07-31T23:00:00+0200"
    },
    {
      "id": 1270,
      "dataset_name": "Water use in the manufacturing industry by activity and supply category",
      "last_update": "2025-07-31T23:00:00+0200"
    },
    {
      "id": 1271,
      "dataset_name": "Renewable freshwater resources - long term annual averages",
      "last_update": "2025-08-01T23:00:00+0200"
    },
    {
      "id": 1273,
      "dataset_name": "Renewable freshwater resources",
      "last_update": "2025-08-01T23:00:00+0200"
    },
    {
      "id": 1274,
      "dataset_name": "Water made available for use",
      "last_update": "2025-08-04T23:00:00+0200"
    },
    {
      "id": 1276,
      "dataset_name": "Generation and discharge of wastewater by pollutant",
      "last_update": "2025-07-31T23:00:00+0200"
    },
    {
      "id": 1277,
      "dataset_name": "Generation and discharge of wastewater in volume",
      "last_update": "2025-07-31T23:00:00+0200"
    },
    {
      "id": 1278,
      "dataset_name": "Sewage sludge production and disposal",
      "last_update": "2025-07-31T23:00:00+0200"
    },
    {
      "id": 1333,
      "dataset_name": "Foreign control of enterprises: research and development characteristics by economic activity (NACE Rev. 2, B-F) and a selection of controlling countries (2009-2019)",
      "last_update": "2023-12-13T23:00:00+0100"
    },
    {
      "id": 1334,
      "dataset_name": "Foreign control of enterprises by controlling countries (2008-2020)",
      "last_update": "2023-11-03T23:00:00+0100"
    },
    {
      "id": 1335,
      "dataset_name": "Foreign control of enterprises: research and development characteristics by controlling countries (2011-2019)",
      "last_update": "2023-12-13T23:00:00+0100"
    },
    {
      "id": 1336,
      "dataset_name": "Outward FATS, main variables - NACE Rev. 2 (2010-2020)",
      "last_update": "2024-01-03T23:00:00+0100"
    },
    {
      "id": 1353,
      "dataset_name": "Fishing fleet by age, length and gross tonnage",
      "last_update": "2025-04-09T23:00:00+0200"
    },
    {
      "id": 1354,
      "dataset_name": "Fishing fleet by type of gear and engine power",
      "last_update": "2025-04-07T23:00:00+0200"
    },
    {
      "id": 1566,
      "dataset_name": "Inpatient curative care bed occupancy rate by type of care",
      "last_update": "2025-07-15T11:00:00+0200"
    },
    {
      "id": 1583,
      "dataset_name": "Medical technologies - examinations by medical imaging techniques (CT, MRI and PET)",
      "last_update": "2025-07-15T11:00:00+0200"
    },
    {
      "id": 1641,
      "dataset_name": "Time spent on health-enhancing (non-work-related) aerobic physical activity by sex, age and degree of urbanisation",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1642,
      "dataset_name": "Time spent on health-enhancing (non-work-related) aerobic physical activity by sex, age and degree of urbanisation",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1643,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and country of birth",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1644,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and country of citizenship",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1645,
      "dataset_name": "Performing health-enhancing physical activity by level of disability (activity limitation), sex and age",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1646,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and educational attainment level",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1647,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and educational attainment level",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1648,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and income quintile",
      "last_update": "2023-08-01T23:00:00+0200"
    },
    {
      "id": 1649,
      "dataset_name": "Performing health-enhancing physical activity by sex, age and income quintile",
      "last_update": "2023-08-01T23:00:00+0200"
    }
  ],
  "pagination": {
    "total": 6135,
    "hasMore": true,
    "limit": 100,
    "offset": 0
  },
  "_note": "Showing 100 of 6135 datasets for United Kingdom. Use limit parameter to get more."
}

How to use statistics API for United Kingdom

1

Authenticate easily

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

2

Filter by country

Get data for United Kingdom and over 150 other countries.

3

Integrate seamlessly

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

Key benefits

Save development time

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

Scale instantly

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

Stay accurate

All British statistics come from verified, trusted sources.

Be flexible

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

Why developers choose Monitly API

99.9%
Uptime for reliable apps
150+
Countries covered with live statistics
5M+
Total datasets ready to query and integrate

British statistics API for every developer

Startups & companies

Automate reporting and enrich your analytics with live British data.

Researchers

Query British datasets and speed up your analysis.

Developers

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

Agencies

Deliver client dashboards with statistics that update automatically.

Trusted by 25,000+ creators

Discover how Content Writer uses Monitly API to keep articles always fresh with live data.

Content Writer
See Case Study

Frequently Asked Questions

Build smarter with live British data

No credit card required