What is Fire Data? Best Datasets & Databases 2025

- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Fire Data?
Fire data refers to information collected and recorded about fires, including their causes, locations, sizes, and impacts. It encompasses statistical data, such as the number of fires and their frequency, as well as qualitative data, such as the environmental and economic consequences of fires. Fire data is crucial for understanding fire patterns, assessing risks, developing prevention strategies, and improving firefighting techniques.
Examples of fire data include information on the number and location of wildfires, fire behavior and intensity, burned areas, and fire-related emissions. Fire data is used for various purposes such as fire management, research, and policy-making. It helps in understanding fire patterns, assessing fire risks, developing strategies for fire prevention and suppression, and evaluating the environmental and socio-economic impacts of fires. In this page, you’ll find the best data sources for fire data, fire datasets, and fire datasets.
Best Fire Databases & Datasets
Here is our curated selection of top Fire Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Pixta AI | Video Data | Global | 1,000 High-quality videos | Annotation and Labelling Services Provided | Fire footage for AI & ML

Meteomatics Fire Indices - Forest, bush or grass fires

Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy

Startup Data | 249 Countries Coverage | +95% Email and Phone Data Accuracy | Bi-weekly Refresh Rate | 50+ Data Points

Small Business Contact Data | Global Coverage | +95% Email and Phone Data Accuracy | Bi-weekly Refresh Rate | 50+ Data Points

Technographic Data | B2B Data | 22M Records | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery

Technographic Data | 22M Records | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery | B2B Data

Global Private Equity (PE) Funding Data | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery | Company Data

Job Postings Data | 733M+ Job posts | Daily Updates

Global CEO & Startup Contact Data | Verified & Bi-Weekly Updates
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Top Fire Data Providers & Companies
Popular Use Cases for Fire Data
Fire Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Fire Data.
Main Attributes of Fire Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
Attribute | Type | Description | Action |
---|---|---|---|
String | The last name (surname) of a contact. | View 784 datasets | |
String | The first name of a contact. | View 780 datasets | |
String | The name of a company or business, might be the legal or brand name. | View 662 datasets | |
String | The email address of a company or contact. | View 639 datasets | |
String | The name of a city. | View 621 datasets | |
String | The name of a country. | View 605 datasets |
Frequently Asked Questions
How is the Quality of Fire Data Maintained?
The quality of Fire Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Fire Data Updated?
The update frequency for Fire Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Fire Data Secure?
The security of Fire Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Fire Data Delivered?
Fire Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Fire Data.
How Much Does Fire Data Cost?
The cost of Fire Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Fire Data for your needs.
What Are Similar Data Types to Fire Data?
Fire Data is similar to other data types, such as Pollen Data, Climate Data, Water Data, Atmosphere Data, and Historical Weather Data. These related categories are often used together for applications like Weather Forecasting and Weather Analytics.