DEI (Diversity, Equity and Inclusion) Data | Workplace Diversity Data | 14000+ Companies | 7 Years Historical Data | GIST Impact
# | COMPANY_NAME |
REPORTING_YEAR |
PERCENTAGE_FEMALE_EMPLOYEES |
GPG_COMPANY_LEVEL |
GPG_SENIORITY_ENTRY_LEVEL |
GPG_SENIORITY_JUNIOR_LEVEL |
GPG_SENIORITY_ASSOCIATE_LEVEL |
GPG_SENIORITY_MANAGER_LEVEL |
GPG_SENIORITY_VP_LEVEL |
GPG_SENIORITY_DIRECTOR_LEVEL |
GPG_SENIORITY_C_SUITE_LEVEL |
GPG_ADMIN_GROUP |
GPG_ENGINEER_GROUP |
GPG_FINANCE_GROUP |
GPG_MARKETING_GROUP |
GPG_OPERATIONS_GROUP |
GPG_SALES_GROUP |
GPG_SCIENTIST_GROUP |
GPG_NORTHERN_AMERICA_REGION |
GPG_CENTRAL_AMERICA_REGION |
GPG_SOUTHERN_AMERICA_REGION |
GPG_NORTHERN_EUROPE_REGION |
GPG_SOUTHERN_EUROPE_REGION |
GPG_EASTERN_EUROPE_REGION |
GPG_WESTERN_EUROPE_REGION |
GPG_SOUTHERN_ASIA_REGION |
GPG_SOUTH_EASTERN_ASIA_REGION |
GPG_EASTERN_ASIA_REGION |
GPG_CENTRAL_AND_WESTERN_ASIA_REGION |
GPG_PACIFIC_ISLANDS_REGION |
GPG_ARAB_STATES_REGION |
GPG_NORTHERN_AFRICA_REGION |
GPG_SUB_SAHARAN_AFRICA_REGION |
PERCENTAGE_EMPLOYEES_BLACK_ETHNICITY |
PERCENTAGE_EMPLOYEES_WHITE_ETHNICITY |
PERCENTAGE_EMPLOYEES_ASIAN_ETHNICITY |
PERCENTAGE_EMPLOYEES_HISPANIC_ETHNICITY |
PERCENTAGE_EMPLOYEES_NATIVE_ETHNICITY |
PERCENTAGE_EMPLOYEES_MULTIPLE_ETHNICITY |
CEO_PAY_BY_AVERAGE_PAY |
PERCENTAGE_WOMEN_ON_BOARD |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | 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 |
3 | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | 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 |
4 | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | 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 |
5 | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | 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 |
6 | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx |
7 | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx |
8 | 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 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx |
9 | 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 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx |
10 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
COMPANY_NAME
|
String | Abbott Laboratories | |
REPORTING_YEAR
|
Integer | 2022 | |
PERCENTAGE_FEMALE_EMPLOYEES
|
String | 46% | |
GPG_COMPANY_LEVEL
|
String | -3% | |
GPG_SENIORITY_ENTRY_LEVEL
|
String | -8% | |
GPG_SENIORITY_JUNIOR_LEVEL
|
String | -9% | |
GPG_SENIORITY_ASSOCIATE_LEVEL
|
String | -23% | |
GPG_SENIORITY_MANAGER_LEVEL
|
String | -10% | |
GPG_SENIORITY_VP_LEVEL
|
String | -2% | |
GPG_SENIORITY_DIRECTOR_LEVEL
|
String | 6% | |
GPG_SENIORITY_C_SUITE_LEVEL
|
String | 5% | |
GPG_ADMIN_GROUP
|
String | -12% | |
GPG_ENGINEER_GROUP
|
String | 3% | |
GPG_FINANCE_GROUP
|
String | -5% | |
GPG_MARKETING_GROUP
|
String | -8% | |
GPG_OPERATIONS_GROUP
|
String | -4% | |
GPG_SALES_GROUP
|
String | -9% | |
GPG_SCIENTIST_GROUP
|
String | 3% | |
GPG_NORTHERN_AMERICA_REGION
|
String | 10% | |
GPG_CENTRAL_AMERICA_REGION
|
String | 7% | |
GPG_SOUTHERN_AMERICA_REGION
|
String | 2% | |
GPG_NORTHERN_EUROPE_REGION
|
String | 3% | |
GPG_SOUTHERN_EUROPE_REGION
|
String | 4% | |
GPG_EASTERN_EUROPE_REGION
|
String | 4% | |
GPG_WESTERN_EUROPE_REGION
|
String | 5% | |
GPG_SOUTHERN_ASIA_REGION
|
String | 4% | |
GPG_SOUTH_EASTERN_ASIA_REGION
|
String | 7% | |
GPG_EASTERN_ASIA_REGION
|
String | 11% | |
GPG_CENTRAL_AND_WESTERN_ASIA_REGION
|
String | 1% | |
GPG_PACIFIC_ISLANDS_REGION
|
String | 9% | |
GPG_ARAB_STATES_REGION
|
String | 0% | |
GPG_NORTHERN_AFRICA_REGION
|
String | 5% | |
GPG_SUB_SAHARAN_AFRICA_REGION
|
String | 6% | |
PERCENTAGE_EMPLOYEES_BLACK_ETHNICITY
|
String | 12% | |
PERCENTAGE_EMPLOYEES_WHITE_ETHNICITY
|
String | 64% | |
PERCENTAGE_EMPLOYEES_ASIAN_ETHNICITY
|
|||
PERCENTAGE_EMPLOYEES_HISPANIC_ETHNICITY
|
String | 19% | |
PERCENTAGE_EMPLOYEES_NATIVE_ETHNICITY
|
String | 1% | |
PERCENTAGE_EMPLOYEES_MULTIPLE_ETHNICITY
|
String | 4% | |
CEO_PAY_BY_AVERAGE_PAY
|
|||
PERCENTAGE_WOMEN_ON_BOARD
|
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Abbott Laboratories | Company Name | |
String | US0378331005 | ISIN | |
REPORTING_YEAR
|
Integer | 2022 |
Description
Geography
History
Volume
14,000 | Listed Companies |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical Data GIST Impact?
The GIST Impact Diversity, Equity & Inclusion (DEI) data aims to provide insights into the current state of diversity and inclusion of 14,000+ listed companies worldwide with workplace diversity data from 2016-2022.
What is DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical Data GIST Impact used for?
This product has 4 key use cases. GIST recommends using the data for Portfolio Construction, Portfolio Analysis, ESG Performance Analysis, and Impact Investing. Global businesses and organizations buy ESG Data from GIST to fuel their analytics and enrichment.
Who can use DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical Data GIST Impact cost?
Pricing information for DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical 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 DEI (Diversity, Equity and Inclusion) Data Workplace Diversity Data 14000+ Companies 7 Years Historical Data GIST Impact?
This Tabular Data has 3 related products. These alternatives include Environmental Data Sustainability Data ESG Data 14000+ Companies 7 Years Historical Data GIST Impact, ESG Data ESG reports and Certifications Environmental, Social, and Governance Ratings ESG reporting, 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.