Employee Headcount Data | Worldwide Public Companies Employee data | Datacie
# | Total Employee Headcount |
Full-Time Employee Count |
Part-Time Employee Count |
Reporting Date |
|
---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx |
2 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
4 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
5 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx |
6 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
7 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
8 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
9 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
10 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
... | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Total Employee Headcount
|
2000 | ||
Full-Time Employee Count
|
1500 | ||
Part-Time Employee Count
|
1000 | ||
String | ABC | Company Name | |
Reporting Date
|
31/12/2020 |
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Frequently asked questions
What is Employee Headcount Data Worldwide Public Companies Employee data Datacie?
Most-recent and historical employee headcount database (in FTE equivalent with FTE/PTE breakdown available) covering the world’s public companies.
What is Employee Headcount Data Worldwide Public Companies Employee data Datacie used for?
This product has 5 key use cases. Datacie recommends using the data for Employment Analytics, Employee Pay Strategy, Corporate Sustainability Analysis, Human Resources (HR), and Company Data Enrichment. Global businesses and organizations buy ESG Data from Datacie to fuel their analytics and enrichment.
Who can use Employee Headcount Data Worldwide Public Companies Employee data Datacie?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for ESG Data. Get in touch with Datacie to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Employee Headcount Data Worldwide Public Companies Employee data Datacie go?
This Tabular Data has 10 years of historical coverage. It can be delivered on a on-demand basis.
Which countries does Employee Headcount Data Worldwide Public Companies Employee data Datacie cover?
This product includes data covering 240 countries like USA, China, Japan, Germany, and India. Datacie is headquartered in Switzerland.
How much does Employee Headcount Data Worldwide Public Companies Employee data Datacie cost?
Pricing information for Employee Headcount Data Worldwide Public Companies Employee data Datacie is available by getting in contact with Datacie. Connect with Datacie to get a quote and arrange custom pricing models based on your data requirements.
How can I get Employee Headcount Data Worldwide Public Companies Employee data Datacie?
Businesses can buy ESG Data from Datacie and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Datacie can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of Employee Headcount Data Worldwide Public Companies Employee data Datacie?
You can compare and assess the data quality of Datacie using Datarade’s data marketplace. Datacie has received 1 review from clients. Datacie appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .
What are similar products to Employee Headcount Data Worldwide Public Companies Employee data Datacie?
This Tabular Data has 3 related products. These alternatives include Bright Data Linkedin Data - company/employee profiles (global coverage), Coresignal Company Data Employee Review Data Glassdoor + Indeed Global / 32M+ Records / Updated Monthly, and Factori People Data Global coverage with 900 Million+ device profiles. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.