Employee Headcount Data | Worldwide Public Companies Employee data | Datacie product image in hero

Employee Headcount Data | Worldwide Public Companies Employee data | Datacie

Datacie
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#
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
Request Data Sample
Avail. Formats
.bin, .json, and .xml
File
Coverage
240
Countries
History
10
years

Data Dictionary

Product Attributes
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

Description

Most-recent and historical employee headcount database (in FTE equivalent with FTE/PTE breakdown available) covering the world's public companies.
This dataset is part of Datacie’s ESG collection covering employees and other S-related indicators. Access the industry’s most granular information set on the world companies’ hiring practices, including fields such as total employee headcount as well as full-time employees and part-time employees breakdown. METHODOLOGY Datacie’s employee headcount database is built from all available data sources that contain ESG information on publicly listed companies, including self-reported filings, annual and CSR reports, press releases, corporate websites & other corporate disclosures. As a trusted data partner, Datacie is committed to delivering competitive and error-free data products to its clients. To this end, we are leveraging our proprietary data extraction technology to capture most of the reported employee-related information from unstructured sources (websites, documents, media releases...) automatically. By construction, our technology predicts diverse quality indicators for each data point acquired; our ESG experts then review these quality indicators and carry thorough qualitative investigations of the extracted information, guaranteeing that our employee headcount figures are fully accurate and that no crucial items are missed. After inception, the entire dataset is audited and evaluated for trustworthiness. Every data entry passes through hundreds of quality checks that automatically identify outliers and potentially misreported observations. Additional manual checks are performed on low-confident data points, ensuring that the final data product is free from poor-quality observations.

Geography

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

10 years of historical data

Pricing

Datacie has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
SOAP API
Streaming API
Feed API
Frequency
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Employment Analytics
Employee Pay Strategy
Corporate Sustainability Analysis
Human Resources (HR)
Company Data Enrichment

Categories

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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.

Pricing available upon request

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