Carbon Emissions Data | ESG Data | 14k+ companies | Scope 1,2&3 Data
# | ISIN |
COMPANY_NAME |
REPORTING_YEAR |
SCOPE_1_EMISSIONS_TOTAL |
FLAG_SCOPE_1_EMISSIONS_TOTAL |
SCOPE_2_EMISSIONS_LOCATION_BASED |
FLAG_SCOPE_2_EMISSIONS_LOCATION_BASED |
SCOPE_2_EMISSIONS_MARKET_BASED |
FLAG_SCOPE_2_EMISSIONS_MARKET_BASED |
SCOPE_2_EMISSION_TOTAL |
FLAG_SCOPE_2_EMISSION_TOTAL |
TOTAL_GHG_EMISSIONS_DIRECT_AND_INDIRECT_EMISSIONS |
FLAG_TOTAL_GHG_EMISSIONS_DIRECT_AND_INDIRECT_EMISSIONS |
SCOPE_3_EMISSION_TOTAL |
FLAG_SCOPE_3_EMISSION_TOTAL |
SCOPE_3_WASTE_GENERATED_IN_OPERATIONS_ |
FLAG_SCOPE_3_WASTE_GENERATED_IN_OPERATIONS_ |
SCOPE_3_BUSINESS_TRAVEL_ |
FLAG_SCOPE_3_BUSINESS_TRAVEL_ |
SCOPE_3_EMPLOYEE_COMMUTING_ |
FLAG_SCOPE_3_EMPLOYEE_COMMUTING_ |
SCOPE_3_PURCHASED_GOODS_AND_SERVICES_ |
FLAG_SCOPE_3_PURCHASED_GOODS_AND_SERVICES_ |
SCOPE_3_FUEL_AND_ENERGY_RELATED_ACTIVITIES_(NOT_INCLUDED_IN_SCOPE_1_OR_SCOPE_2)_ |
FLAG_SCOPE_3_FUEL_AND_ENERGY_RELATED_ACTIVITIES_(NOT_INCLUDED_IN_SCOPE_1_OR_SCOPE_2)_ |
SCOPE_3_UPSTREAM_TRANSPORTATION_AND_DISTRIBUTION_ |
FLAG_SCOPE_3_UPSTREAM_TRANSPORTATION_AND_DISTRIBUTION_ |
SCOPE_3_UPSTREAM_LEASED_ASSETSD |
FLAG_SCOPE_3_UPSTREAM_LEASED_ASSETSD |
SCOPE_3_DOWNSTREAM_TRANSPORTATION_AND_DISTRIBUTION_ |
FLAG_SCOPE_3_DOWNSTREAM_TRANSPORTATION_AND_DISTRIBUTION_ |
SCOPE_3_PROCESSING_OF_SOLD_PRODUCTS_ |
FLAG_SCOPE_3_PROCESSING_OF_SOLD_PRODUCTS_ |
SCOPE_3_USE_OF_SOLD_PRODUCTS_ |
FLAG_SCOPE_3_USE_OF_SOLD_PRODUCTS_ |
SCOPE_3_END_OF_LIFE_TREATMENT_OF_SOLD_PRODUCTS_ |
FLAG_SCOPE_3_END_OF_LIFE_TREATMENT_OF_SOLD_PRODUCTS_ |
SCOPE_3_DOWNSTREAM_LEASED_ASSETS_ |
FLAG_SCOPE_3_DOWNSTREAM_LEASED_ASSETS_ |
SCOPE_3_FRANCHISES_ |
FLAG_SCOPE_3_FRANCHISES_ |
SCOPE_3_INVESTMENTS_ |
FLAG_SCOPE_3_INVESTMENTS_ |
SCOPE_3_CAPITAL_GOODS_ |
FLAG_SCOPE_3_CAPITAL_GOODS_ |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
3 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
4 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx |
6 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
8 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
9 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx |
10 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
... | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
ISIN
|
String | US0378331005 | |
COMPANY_NAME
|
String | Apple Inc. | |
REPORTING_YEAR
|
Integer | 2016 | |
SCOPE_1_EMISSIONS_TOTAL
|
Integer | 34370 | |
FLAG_SCOPE_1_EMISSIONS_TOTAL
|
String | Disclosed | |
SCOPE_2_EMISSIONS_LOCATION_BASED
|
Integer | 542000 | |
FLAG_SCOPE_2_EMISSIONS_LOCATION_BASED
|
String | Disclosed | |
SCOPE_2_EMISSIONS_MARKET_BASED
|
Integer | 41000 | |
FLAG_SCOPE_2_EMISSIONS_MARKET_BASED
|
String | Disclosed | |
SCOPE_2_EMISSION_TOTAL
|
Integer | 542000 | |
FLAG_SCOPE_2_EMISSION_TOTAL
|
String | Disclosed | |
TOTAL_GHG_EMISSIONS_DIRECT_AND_INDIRECT_EMISSIONS
|
Integer | 576370 | |
FLAG_TOTAL_GHG_EMISSIONS_DIRECT_AND_INDIRECT_EMISSIONS
|
String | Disclosed | |
SCOPE_3_EMISSION_TOTAL
|
Integer | 29500000 | |
FLAG_SCOPE_3_EMISSION_TOTAL
|
String | Disclosed | |
SCOPE_3_WASTE_GENERATED_IN_OPERATIONS_
|
|||
FLAG_SCOPE_3_WASTE_GENERATED_IN_OPERATIONS_
|
|||
SCOPE_3_BUSINESS_TRAVEL_
|
Integer | 118000 | |
FLAG_SCOPE_3_BUSINESS_TRAVEL_
|
String | Disclosed | |
SCOPE_3_EMPLOYEE_COMMUTING_
|
Integer | 186000 | |
FLAG_SCOPE_3_EMPLOYEE_COMMUTING_
|
String | Disclosed | |
SCOPE_3_PURCHASED_GOODS_AND_SERVICES_
|
Integer | 22800000 | |
FLAG_SCOPE_3_PURCHASED_GOODS_AND_SERVICES_
|
String | Disclosed | |
SCOPE_3_FUEL_AND_ENERGY_RELATED_ACTIVITIES_(NOT_INCLUDED_IN_SCOPE_1_OR_SCOPE_2)_
|
|||
FLAG_SCOPE_3_FUEL_AND_ENERGY_RELATED_ACTIVITIES_(NOT_INCLUDED_IN_SCOPE_1_OR_SCOPE_2)_
|
|||
SCOPE_3_UPSTREAM_TRANSPORTATION_AND_DISTRIBUTION_
|
|||
FLAG_SCOPE_3_UPSTREAM_TRANSPORTATION_AND_DISTRIBUTION_
|
|||
SCOPE_3_UPSTREAM_LEASED_ASSETSD
|
|||
FLAG_SCOPE_3_UPSTREAM_LEASED_ASSETSD
|
|||
SCOPE_3_DOWNSTREAM_TRANSPORTATION_AND_DISTRIBUTION_
|
|||
FLAG_SCOPE_3_DOWNSTREAM_TRANSPORTATION_AND_DISTRIBUTION_
|
|||
SCOPE_3_PROCESSING_OF_SOLD_PRODUCTS_
|
|||
FLAG_SCOPE_3_PROCESSING_OF_SOLD_PRODUCTS_
|
|||
SCOPE_3_USE_OF_SOLD_PRODUCTS_
|
Integer | 4900000 | |
FLAG_SCOPE_3_USE_OF_SOLD_PRODUCTS_
|
String | Disclosed | |
SCOPE_3_END_OF_LIFE_TREATMENT_OF_SOLD_PRODUCTS_
|
Integer | 300000 | |
FLAG_SCOPE_3_END_OF_LIFE_TREATMENT_OF_SOLD_PRODUCTS_
|
String | Disclosed | |
SCOPE_3_DOWNSTREAM_LEASED_ASSETS_
|
|||
FLAG_SCOPE_3_DOWNSTREAM_LEASED_ASSETS_
|
|||
SCOPE_3_FRANCHISES_
|
|||
FLAG_SCOPE_3_FRANCHISES_
|
|||
SCOPE_3_INVESTMENTS_
|
|||
FLAG_SCOPE_3_INVESTMENTS_
|
|||
SCOPE_3_CAPITAL_GOODS_
|
|||
FLAG_SCOPE_3_CAPITAL_GOODS_
|
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Johnson & Johnson | Company Name | |
Reporting Year
|
Date | 2021 | |
Scope 1 Emissions - Total
|
Float | 36,800 tCO2e | |
Scope 2 Emissions - Total
|
Float | 616,000 tCO2e | |
Unit
|
String | CO2e | |
Scope 3 Emissions - Purchased goods and services
|
6,610,000 tCO2e |
Description
Country Coverage
History
Volume
14,000 | Listed Companies |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data?
Greenhouse Gas (GHG) ESG data from the 14000+ listed companies globally - covering developed, emerging and frontier markets. Covers Scope 1, Scope 2 and Scope 3 Emissions from 2016-2022.
What is Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data used for?
This product has 5 key use cases. GIST recommends using the data for ESG Investing, Climate Analytics, Climate Change Analytics, ESG Performance Analysis, and Impact Investing. Global businesses and organizations buy ESG Data from GIST to fuel their analytics and enrichment.
Who can use Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for ESG Data. Get in touch with GIST to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data go?
This product has 7 years of historical coverage. It can be delivered on a monthly, quarterly, and on-demand basis.
Which countries does Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data cover?
This product includes data covering 240 countries like USA, China, Japan, Germany, and India. GIST is headquartered in Switzerland.
How much does Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data cost?
Pricing information for Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data is available by getting in contact with GIST. Connect with GIST to get a quote and arrange custom pricing models based on your data requirements.
How can I get Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data?
Businesses can buy ESG Data from GIST and get the data via SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, GIST can deliver this product in .csv and .xls format.
What is the data quality of Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data?
You can compare and assess the data quality of GIST using Datarade’s data marketplace. GIST has received 2 reviews from clients. GIST appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition.
What are similar products to Carbon Emissions Data ESG Data 14k+ companies Scope 1,2&3 Data?
This product has 3 related products. These alternatives include Energy Consumption Data Energy Resource ESG Data 14k+ Companies, ESG Data API ESG Risk Alternative ESG Data 3.5M+ daily news articles, and Opoint Sustainability Web Data ESG Data 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions Sustainability Information. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.