GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history
# | sedol |
industry |
gl_region |
fiscalyear |
ceo_change_count |
board_non_white_pay_gap |
management_non_white_pct |
management_non_white_pay_gap |
female_ceo_flag |
female_chair_flag |
indep_chair_flag |
board_non_white_pct |
indep_dir_board_pct |
indep_lead_dir_flag |
women_on_board_pct |
women_in_management_pct |
board_gender_pay_gap |
management_gender_pay_gap |
indep_lead_dir_wsj_flag |
indep_chair_wsj_flag |
indep_dir_board_wsj_pct |
execs_non_white_pct |
women_execs_pct |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
3 | 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 |
4 | Xxxxx | 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 |
5 | 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 |
6 | 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 |
7 | xxxxx | Xxxxxx | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
... | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Apple Inc. | Company Name | |
String | AAPL | Stock Ticker | |
String | US0378331005 | ISIN | |
sedol
|
Integer | 2046251 | |
industry
|
String | Technology Hardware, Storage and Peripherals | |
gl_region
|
String | United States and Canada | |
String | United States | Country Name | |
fiscalyear
|
Integer | 2022 | |
ceo_change_count
|
Float | 0.0 | |
board_non_white_pay_gap
|
Float | 2393262.571428572 | |
management_non_white_pct
|
Float | 18.0 | |
management_non_white_pay_gap
|
|||
female_ceo_flag
|
Float | 0.0 | |
female_chair_flag
|
Float | 0.0 | |
indep_chair_flag
|
Integer | 0 | |
board_non_white_pct
|
Float | 11.11111111111111 | |
indep_dir_board_pct
|
Float | 77.77777777777779 | |
indep_lead_dir_flag
|
Integer | 0 | |
women_on_board_pct
|
Float | 33.33333333333333 | |
women_in_management_pct
|
Float | 24.0 | |
board_gender_pay_gap
|
Float | 3293854.533333333 | |
management_gender_pay_gap
|
Float | 1644557.25 | |
indep_lead_dir_wsj_flag
|
Float | 0.0 | |
indep_chair_wsj_flag
|
Float | 1.0 | |
indep_dir_board_wsj_pct
|
Float | 55.55555555555556 | |
execs_non_white_pct
|
Float | 23.404255319148938 | |
women_execs_pct
|
Float | 27.659574468085108 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Apple Inc. | Company Name | |
String | United States | Country Name | |
Year
|
2021 | ||
CEO Change
|
0 | ||
Board Non-White Pay Gap
|
2393263 | ||
Ethnic Diversity within Management
|
18 | ||
Woman CEO Flag
|
0 | ||
Woman Chairperson Flag
|
0 | ||
Ethnic Diversity on the Board
|
11 | ||
Percentage of Independent Directors on Board
|
78 | ||
Percentage of Women on the Board
|
33 | ||
Percentage of Women in Management
|
24 | ||
Board Gender Pay Gap
|
3293855 | ||
Management Gender Pay Gap
|
1644557 |
Description
Country Coverage
History
Volume
17,000 | companies |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$500 / month |
Yearly License |
$5,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history?
We use the latest technologies to create a high-quality people metrics dataset for over 17,000 publicly traded companies globally, which is refreshed daily. This is one capability of our powerful ESG Analytics platform.
What is GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history used for?
This product has 5 key use cases. GaiaLens recommends using the data for Investing, ESG Investing, ESG Performance Analysis, Company Analysis, and People Analytics. Global businesses and organizations buy ESG Data from GaiaLens to fuel their analytics and enrichment.
Who can use GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for ESG Data. Get in touch with GaiaLens to see what their data can do for your business and find out which integrations they provide.
How far back does the data in GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history go?
This product has 10 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history cover?
This product includes data covering 94 countries like USA, China, Japan, Germany, and India. GaiaLens is headquartered in United Kingdom.
How much does GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history cost?
Pricing for GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history starts at USD500 per month. Connect with GaiaLens to get a quote and arrange custom pricing models based on your data requirements.
How can I get GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history?
Businesses can buy ESG Data from GaiaLens and get the data via Email, UI Export, and REST API. Depending on your data requirements and subscription budget, GaiaLens can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history?
GaiaLens has reported that this product has the following quality and accuracy assurances: 100% Daily Refresh. You can compare and assess the data quality of GaiaLens using Datarade’s data marketplace.
What are similar products to GaiaLens People Data: real-time (refreshed daily), covers c.17,000 publicly traded companies, 20 year history?
This product has 3 related products. These alternatives include Environmental Data Sustainability Data ESG Data 14k+ Listed Companies, TagX ESG Data ESG reports and Certifications Certifications data from more than 100 accredited agencies Certificate holders data, and Startup Data Company Data Refreshed 2x/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.