Carbon Emissions Data | ESG Data | 14000+ companies | 7 Years Historical Data | Scope 1,2&3 Data | GIST Impact
# | 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
Geography
History
Volume
14,000 | Listed Companies |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
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Frequently asked questions
What is Carbon Emissions Data ESG Data 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact?
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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact 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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact?
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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact go?
This Tabular Data 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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact 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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact cost?
Pricing information for Carbon Emissions Data ESG Data 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact 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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact?
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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact?
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 14000+ companies 7 Years Historical Data Scope 1,2&3 Data GIST Impact?
This Tabular Data has 3 related products. These alternatives include Energy and Resource Data ESG Data 14000+ Companies 7 Years Historical Data GIST Impact, Carbon Emissions Data API ESG Data 50,000+ Companies Scope 1, 2 & 3 10+ Years Historical Data Oxari, and RGS’ Sustainability Data / Raw ESG Data Companies Carbon Gas Emissions Data Scope 1,2,3 7k+ Global Companies 7 Years History All Sectors. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.