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Waste Data: Best Waste Datasets & Databases

What is Waste Data? How can you use it? Find the best Waste Datasets & buy Waste Data securely via Datarade.

Recommended Waste Data Products

3 Results

Energy, Water and Waste Data of Global Companies by Akadia

by Akadia
Energy use, water consumption and waste production and diversion data for 3000 companies and counting ... and waste recycled, reused or transformed by companies around the world.
Available for 140 countries
3K companies
5 years of historical data
Pricing available upon request
Free sample available
revenue share
Start icon4.8(1)

Biodiversity, Waste & Water Management Data | Worldwide Public Companies ESG data | Datacie ESG

by Datacie
biodiversity, waste, and water data from unstructured sources (websites, documents, media releases…) ... Note that all the waste and water data that have been reported in other units than per metric tons and
Available for 249 countries
7 years of historical data
Pricing available upon request
Free sample available

RGS | ESG Raw Data | Companies Environmental Impact | Emissions, Water, Waste, Plastic Packaging

Packaging Food Waste Any of the above data feeds are offered both on a stand-alone and bundled package ... in metric tons: Waste Produced Hazardous Waste Produced Proportion of Waste Recycled Plastic
Available for 240 countries
8K public companies
7 years of historical data
Pricing available upon request
Free sample available

More Waste Data Products

Discover related waste data products.
8K public companies
240 countries covered
7 years of historical data
RIFT (Real Impact in Financial Terms) is the first ESG impact dataset built to quantify the holistic impact of large companies on the environment, society an...
3K companies
140 countries covered
5 years of historical data
Energy use, water consumption and waste production and diversion data for 3000 companies and counting.
249 countries covered
7 years of historical data
A data answer to how do the world companies impact biodiversity change through their environmental policies, their waste management program, and their water ...
8K public companies
240 countries covered
7 years of historical data
RIFT (Real Impact in Financial Terms) is the first ESG impact dataset built to quantify the holistic impact of large companies on the environment, society an...
3K companies
140 countries covered
5 years of historical data
Energy use, water consumption and waste production and diversion data for 3000 companies and counting.
249 countries covered
7 years of historical data
A data answer to how do the world companies impact biodiversity change through their environmental policies, their waste management program, and their water ...

The Ultimate Guide to Waste Data 2023

Learn about waste data analytics, sources, and collection.

Where can I buy Waste Data?

Data providers and vendors listed on Datarade sell Waste Data products and samples. Popular Waste Data products and datasets available on our platform are Energy, Water and Waste Data of Global Companies by Akadia by Akadia, Biodiversity, Waste & Water Management Data | Worldwide Public Companies ESG data | Datacie ESG by Datacie, and RGS | ESG Raw Data | Companies Environmental Impact | Emissions, Water, Waste, Plastic Packaging by Richmond Global Sciences.

How can I get Waste Data?

You can get Waste Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Waste 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 Waste Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Waste Data?

Waste Data is similar to Corporate Activism Data, Workplace Diversity Data, CSR Data, Food Waste Data, and Plastic Waste Data. These data categories are commonly used for ESG Investing and ESG Performance Analysis.

What are the most common use cases for Waste Data?

The top use cases for Waste Data are ESG Investing and ESG Performance Analysis.