4 datasets found
  1. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 23, 2025
    + more versions
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    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/68f0f810e8e4040c38a3cf96/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 143 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/68f0ffd528f6872f1663ef77/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.12 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/68f20a3e06e6515f7914c71c/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 197 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/68f20a552f0fc56403a3cfef/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 443 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/68f100492f0fc56403a3cf94/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, 192 KB) Previous FIRE0201 tables

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  2. Developer Community and Code Datasets

    • datarade.ai
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    Oxylabs, Developer Community and Code Datasets [Dataset]. https://datarade.ai/data-products/developer-community-and-code-datasets-oxylabs
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Oxy Labs
    Authors
    Oxylabs
    Area covered
    El Salvador, Marshall Islands, United Kingdom, Philippines, Tuvalu, Guyana, Saint Pierre and Miquelon, South Sudan, Bahamas, Djibouti
    Description

    Unlock the power of ready-to-use data sourced from developer communities and repositories with Developer Community and Code Datasets.

    Data Sources:

    1. GitHub: Access comprehensive data about GitHub repositories, developer profiles, contributions, issues, social interactions, and more.

    2. StackShare: Receive information about companies, their technology stacks, reviews, tools, services, trends, and more.

    3. DockerHub: Dive into data from container images, repositories, developer profiles, contributions, usage statistics, and more.

    Developer Community and Code Datasets are a treasure trove of public data points gathered from tech communities and code repositories across the web.

    With our datasets, you'll receive:

    • Usernames;
    • Companies;
    • Locations;
    • Job Titles;
    • Follower Counts;
    • Contact Details;
    • Employability Statuses;
    • And More.

    Choose from various output formats, storage options, and delivery frequencies:

    • Get datasets in CSV, JSON, or other preferred formats.
    • Opt for data delivery via SFTP or directly to your cloud storage, such as AWS S3.
    • Receive datasets either once or as per your agreed-upon schedule.

    Why choose our Datasets?

    1. Fresh and accurate data: Access complete, clean, and structured data from scraping professionals, ensuring the highest quality.

    2. Time and resource savings: Let us handle data extraction and processing cost-effectively, freeing your resources for strategic tasks.

    3. Customized solutions: Share your unique data needs, and we'll tailor our data harvesting approach to fit your requirements perfectly.

    4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is trusted by Fortune 500 companies and adheres to GDPR and CCPA standards.

    Pricing Options:

    Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

    Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

    Experience a seamless journey with Oxylabs:

    • Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
    • Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
    • Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
    • Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

    Empower your data-driven decisions with Oxylabs Developer Community and Code Datasets!

  3. Success.ai | Company Data – 28M Verified Company Profiles - Best Price...

    • datarade.ai
    Updated Oct 15, 2024
    + more versions
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    Success.ai (2024). Success.ai | Company Data – 28M Verified Company Profiles - Best Price Guaranteed! [Dataset]. https://datarade.ai/data-products/success-ai-company-data-28m-verified-company-profiles-b-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Area covered
    Honduras, Singapore, Japan, State of, China, Kazakhstan, Niue, Uganda, Saudi Arabia, Zambia
    Description

    Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

    Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

    Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

    Why Choose Success.ai?

    • Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
    • Global Reach: Access over 28 million verified company profiles across 195 countries.
    • Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
    • Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
    • Real-Time Updates: Stay ahead with continuously updated company information.
    • Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
    • Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
    • Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

    Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

    Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

    Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

    Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

    From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

    Key Use Cases:

    • Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
    • Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
    • Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
    • Market Research: Enrich your market intelligence initiatives by gain...
  4. FIFA - Football World Cup Dataset

    • kaggle.com
    zip
    Updated Dec 23, 2022
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    Sourav Banerjee (2022). FIFA - Football World Cup Dataset [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/fifa-football-world-cup-dataset
    Explore at:
    zip(13334 bytes)Available download formats
    Dataset updated
    Dec 23, 2022
    Authors
    Sourav Banerjee
    Area covered
    World
    Description

    Context

    The FIFA World Cup, often simply called the World Cup, is an international association football competition contested by the senior men's national teams of the members of the Fédération Internationale de Football Association (FIFA), the sport's global governing body. The championship has been awarded every four years since the inaugural tournament in 1930, except in 1942 and 1946 when it was not held because of the Second World War. The current champion is Argentina, which won its third title at the 2022 tournament in Qatar.

    The current format involves a qualification phase, which takes place over the preceding three years, to determine which teams qualify for the tournament phase. In the tournament phase, 32 teams, including the automatically qualifying host nation(s), compete for the title at venues within the host nation(s) over about a month.

    The 22 World Cup tournaments have been won by eight national teams. Brazil has won five times, and they are the only team to have played in every tournament. The other World Cup winners are Germany and Italy, with four titles each; Argentina with three, France, and inaugural winner Uruguay, with two titles each; and England and Spain, with one title each.

    The World Cup is the most prestigious association football tournament in the world, as well as the most widely viewed and followed single sporting event in the world. The cumulative viewership of all matches of the 2006 World Cup was estimated to be 26.29 billion with an estimated 715.1 million people watching the final match, a ninth of the entire population of the planet.

    18 countries have hosted the World Cup. Brazil, France, Italy, Germany, and Mexico have each hosted twice, while Uruguay, Switzerland, Sweden, Chile, England, Argentina, Spain, the United States, Japan, and South Korea (jointly), South Africa, Russia, and Qatar have each hosted once. The 2026 tournament will be jointly hosted by Canada, the United States, and Mexico, which will give Mexico the distinction of being the first country to host games in three World Cups.

    Content

    This Dataset consists of Records from all the previous Football World Cups (1930 to 2022)

    Structure of the Dataset

    https://i.imgur.com/LCHGPLf.png" alt="">

    Acknowledgements

    This Dataset is created from https://www.fifa.com/. If you want to learn more, you can visit the Website.

    Cover Photo: https://wallpapercave.com/fifa-world-cup-wallpapers

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Share
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Email
Click to copy link
Link copied
Close
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Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables

Fire statistics data tables

Explore at:
92 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 23, 2025
Dataset provided by
GOV.UK
Authors
Ministry of Housing, Communities and Local Government
Description

On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/">Northern Ireland: Fire and Rescue Statistics.

If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

Related content

Fire statistics guidance
Fire statistics incident level datasets

Incidents attended

https://assets.publishing.service.gov.uk/media/68f0f810e8e4040c38a3cf96/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 143 KB) Previous FIRE0101 tables

https://assets.publishing.service.gov.uk/media/68f0ffd528f6872f1663ef77/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.12 MB) Previous FIRE0102 tables

https://assets.publishing.service.gov.uk/media/68f20a3e06e6515f7914c71c/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 197 KB) Previous FIRE0103 tables

https://assets.publishing.service.gov.uk/media/68f20a552f0fc56403a3cfef/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 443 KB) Previous FIRE0104 tables

Dwelling fires attended

https://assets.publishing.service.gov.uk/media/68f100492f0fc56403a3cf94/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, 192 KB) Previous FIRE0201 tables

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