What is Environmental Data? Examples, Types, and Databases

What is environmental data? How can you utilize it? Discover the various examples and types of environmental data, as well as the databases that provide access to this valuable information. From weather patterns and air quality to biodiversity and pollution levels, environmental data encompasses a wide range of factors that impact our planet. Explore the best data sources for environmental data and find the data you need on Datarade Marketplace.

What is Environmental Data?

Environmental data refers to information collected about the natural world and its components, such as air, water, soil, and ecosystems. It includes measurements, observations, and records of various environmental factors, such as temperature, humidity, pollution levels, biodiversity, and weather patterns. This data is crucial for understanding and monitoring the state of the environment, identifying trends, assessing impacts of human activities, and making informed decisions for sustainable management and conservation efforts. Environmental data is used for various purposes such as monitoring and assessing the health of ecosystems, identifying pollution sources, predicting and managing natural disasters, and informing policy decisions related to environmental protection and conservation. In this page, you’ll find the best data sources for environmental data, including government agencies, research institutions, and environmental organizations.

Data Specialist Lucy
Lucy Kelly
Data Specialist

Best Environmental Data Databases & Datasets

Here is Datarade's curated selection of top Environmental Data. These trusted databases and datasets offer high-quality, up-to-date information.

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Environmental Data | Sustainability Data | ESG Data |14000+ Companies | 7 Years Historical Data | GIST Impact

by GIST
Available for 249 countries
1M Data Points Crawled
7 years of historical data
100% Traceability
Pricing available upon request
Free sample preview
revenue share
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ESG Data | ESG reports and Certifications | Environmental, Social, and Governance Ratings | ESG reporting

by TagX
Available for 240 countries
20K public companies
3 years of historical data
100% match rate
Starts at
$500$450 / month
Free sample preview
10% Datarade discount
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ESG Data - Environmental, Social, and Governance Ratings

Available for 1 countries
7K companies
5 years of historical data
Starts at
$300 / month
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UN SDG Environmental and Social Impact Data for 22,000+ companies (API)

Available for 249 countries
22K companies
5 years of historical data
Available Pricing:
One-off purchase
Monthly License
Yearly License
Starts at
$10,000 / year
Starts at
$1,000 / purchase
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Carbon Emissions Data | ESG Data | 14000+ companies | 7 Years Historical Data | Scope 1,2&3 Data | GIST Impact

by GIST
Available for 240 countries
14K Listed Companies
7 years of historical data
Pricing available upon request
Free sample preview
revenue share
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Starts at
$200 / month
Free sample preview
Starts at
$1 / company & year
Free sample preview
Available Pricing:
One-off purchase
Yearly License
revenue share

Environmental Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.

Environmental Data Explained

Who Uses Environmental Data and For Which Use Cases?

Scientists are always in the hunt of high-end observational data sets mixed with simulations to understand and predict the behavior of the ecosystem with time. They collect, aggregate, and analyze environmental data to know more about the earth processes, test location, and parameterize and offer information to the common public and specific user groups. It helps them in solid planning related to infrastructure, environment, and energy usage.

The general public uses detailed environmental data to stay up-to-date on the existing condition of the environment. It helps them to take the necessary steps in order to minimize their carbon footprint on mother earth.

Policymakers do a thoughtful analysis of environmental data and use it to implement vital environmental policy changes. They also effectively harness advanced technology to close data gaps that have long hampered good policymaking and helps them find out the issue in time to take preventive action.

Companies across the globe are nowadays setting up specific goals in order to become more sustainable. They use environmental performance data to stay compliant with regulatory requirements and to attract sustainable investment.

What are Typical Environmental Data Attributes?

Collecting the following environmental data metrics is important:

Meteorological Data

  • Temperature
  • Wind speed
  • Pressure
  • Rain or snow
  • Humidity level

Biodiversity Data

  • Species abundance
  • The total number of specific species type
  • Species size or weight
  • Population growth rate
  • Mortality rate
  • Life span/longevity

Socioeconomic and Occupational Health Data

  • Total number of slums in a specific area
  • Affected population per the state
  • Health status of the communities
  • Existing infrastructure facilities in a particular area

Pollution Data

  • Air quality
  • Groundwater quality
  • Particulate matter
  • VOCs, Ozone, and nitrogen dioxide levels
  • Number of wildlife fires and open area burns

How is Environmental Data Typically Collected?

Environmental data collection typically includes solid planning, technical expertise, and a wide knowledge of environmental rules.

The elements of systematic planning include goals, schedule, project organization, data requirements, data collection methods, data quantity and quality, QA and QC needs, analytical methods – all of which ensure that the relevant and accurate data is gathered for the intended use.

Sources of environmental data include:

Statistical Surveys – You can carry out surveys to garner environmental statistics from a specific part of the population of interest

Administrative Records – Administrative data stored by the governments and other organizations can also be used for the generation of environmental

Remote Sensing and Thematic Mapping – Remote sensors obtain high-quality environmental data about the inaccessible or deadly regions and objects for a certain distance, usually with the help of satellite or air aircraft. This technology is usually used to collect and analyze forests, changes in soil erosion, pollution level, an estimate of the animal population, and the impact of natural disasters.

Monitoring Systems - Use field monitoring stations that capture all qualitative and qualitative environmental data aspects such as soil, air, water, or quality; meteorological or hydrological parameters. The best thing about this technique is that data is typically collected using verified scientific methods and constantly uses modeling to enhance data quality.

Scientific Research - Accurate environmental data is also collected via scientific research. This kind of information is usually available for free or low cost.

How to Assess the Quality of Environmental Data?

Environmental data quality matters a lot when it comes to making important decisions, evaluations, and conclusions related to the environment. That is why it is crucial to use appropriate data quality models and methodologies to achieve the desired outcome.

Here is a step-by-step guide to use while assessing environmental data quality:

Step 1: Understand the Sources and Collection Methods Well
When evaluating environmental data, make sure you are familiar with the sources and data collection methods. Also, the source must be legal, ethical, and 100% original to avoid any potential issues.

Step 2: Ask for References
Ask your data provider to provide you references of their past customers so that you can validate the quality of data. You can also reach out to their previous customers directly.

Step 3: Apply Data Testing (Sample Set)
Ask your data provider for a sample data set and then test it well. Analyze the results carefully and check if this is what you want.

How is Environmental Data Typically Priced?

If you fail to plan appropriately and model your unique environmental needs in advance, you will end up paying your data company more. Some of the more common pricing models we see are:

1. Subscription/Licensing: You need to subscribe to the data provider. After you get access to API, and this model type provides regularly updated datasets.

2. Pay Per Large Batch (one-time payment): You can also make a one-time payment for each larger batch of environmental datasets.

3. Tailored Quotes for Special Needs: If you have unique needs, you can explain this to your environmental data provider. Remember, your pricing will differ depending on your needs.

What to Ask Environmental Data providers?

The following are the key questions to consider asking your next environmental data vendor:

  • Where and how was the data collected?
  • How do you process and validate your environmental data?
  • Can you provide me with a sample for testing?

Frequently Asked Questions

Where can I buy Environmental Data?

Data providers and vendors listed on Datarade sell Environmental Data products and samples. Popular Environmental Data products and datasets available on our platform are Environmental Data | Sustainability Data | ESG Data |14000+ Companies | 7 Years Historical Data | GIST Impact by GIST, ESG Data | ESG reports and Certifications | Environmental, Social, and Governance Ratings | ESG reporting by TagX, and ESG Data - Environmental, Social, and Governance Ratings by Financial Modeling Prep.

How can I get Environmental Data?

You can get Environmental Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Environmental Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Environmental Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Environmental Data?

Environmental Data is similar to Telecom Data, Weather Data, B2B Data, Automotive Data, and Energy Data. These data categories are commonly used for Weather Analytics.

What are the most common use cases for Environmental Data?

The top use cases for Environmental Data are Weather Analytics.

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