🔮Indicators overview

A brief overview of the available company information.

Each line in the table represents a company. Even when we talk about companies, we also mean other economic players such as universities, research institutes and associations. Our data is sourced from national commercial registers and other public sources. See country coverage for the number of companies per country.

Our central identifier for a company is the web address (domain). If several entries in a commercial register share a domain (e.g. in the case of companies from the same group of companies), we identify the company's headquarters and only keep this observation.

Note that not all of these columns are shown in the dashboard. However, you can extract all of the information when you download our data.

Colum name	Description
domain	The main URL of the respective company. It is used as a unique identifier in our database.
domain_redirect	True if the domain automatically redirects to another webpage.
country	Country (NUTS-0) where the firm is located. Official name (e.g. "Deutschland").
country_english	English name of country (e.g . "Germany")
country_code	ISO code of the country.
state	State (NUTS-1) within the country.
state_code	NUTS code representing the state.
region	Region (NUTS-2) within the state.
region_code	NUTS code representing the region.
district	District or locality (NUTS-3) within the region.
district_code	Code representing the district.
title	Title provided in the HTML head of the company website.
keywords	Keywords provided in the HTML head of the company website.
description	Description provided in the HTML head of the company website.
main_contact_mail	Main contact e-mail address.
all_mails	All e-mail addresses found on the respective website.
main_contact_number	Main contact phone number.
all_phones	All phone numbers found on the respective website.
all_linkedin_profiles	All links to LinkedIn user profiles found on the respective website.
all_linkedin_companies	All links to LinkedIn company profiles found on the respective website.
all_twitter_links	All links to X/Twitter accounts found on the respective website.
all_facebook_links	All links to Facebook profiles found on the respective website.
additive_manufacturing_intensity	Numerical engagement level of the firm in additive manufacturing.
additive_manufacturing_intensity_level	Engagement level of the firm in additive manufacturing (very low, low, medium, high, very high).
additive_manufacturing_keywords	Keywords potentially related to additive manufacturing on the respective website.
additive_manufacturing_keywords_hits	Number of individual hits per keyword from additive_manufacturing_keywords column on the respective website.
additive_manufacturing_total_hits	Total number of additive_manufacturing_keywords hits on the respective website.
ai_intensity	Numerical engagement level of the firm in artificial intelligence.
ai_intensity_level	Engagement level of the firm in artificial intelligence (very low, low, medium, high, very high).
ai_keywords	Keywords potentially related to artificial intelligence on the respective website.
ai_keywords_hits	Number of individual hits per keyword from ai_keywords column on the respective website.
ai_total_hits	Total number of ai_keywords hits on the respective website.
blockchain_intensity	Numerical engagement level of the firm in blockchain technology.
blockchain_intensity_level	Engagement level of the firm in blockchain technology (very low, low, medium, high, very high).
blockchain_keywords	Keywords potentially related to blockchain technology on the respective website.
blockchain_keywords_hits	Number of individual hits per keyword from blockchain_keywords column on the respective website.
blockchain_total_hits	Total number of blockchain_keywords hits on the respective website.
digital_health_intensity	Numerical engagement level of the firm in digital health technologies
digital_health_intensity_level	Engagement level of the firm in digital health technologies (very low, low, medium, high, very high).
digital_health_keywords	Keywords potentially related to digital health technologies on the respective website.
digital_health_keywords_hits	Number of individual hits per keyword from digital_health_keywords column on the respective website.
digital_health_total_hits	Total number of digital_health_keywords hits on the respective website.
domain_provider_true	True if the firm is actually just a domain provider.
news_probability	Low, medium, high or very high probability that the website is a news site (e.g. newspaper, blog, journal, news ticket).
energy_intensity	Numerical engagement level of the firm in energy technologies.
energy_intensity_level	Engagement level of the firm in energy technologies (very low, low, medium, high, very high).
energy_keywords	Keywords potentially related to energy technologies on the respective website.
energy_keywords_hits	Number of individual hits per keyword from energy_keywords column on the respective website.
energy_total_hits	Total number of energy_keywords hits on the respective website.
mobility_intensity	Numerical engagement level of the firm in mobility technologies.
mobility_intensity_level	Engagement level of the firm in mobility technologies (very low, low, medium, high, very high).
mobility_keywords	Keywords potentially related to mobility technologies on the respective website.
mobility_keywords_hits	Number of individual hits per keyword from mobility_keywords column on the respective website.
mobility_total_hits	Total number of mobility_keywords hits on the respective website.
sustainability_intensity	Numerical engagement level of the firm in ecological sustainability.
sustainability_intensity_level	Engagement level of the firm in ecological sustainability (very low, low, medium, high, very high).
sustainability_keywords	Keywords potentially related to ecological sustainability on the respective website.
sustainability_keywords_hits	Number of individual hits per keyword from sustainability_keywords column on the respective website.
sustainability_total_hits	Total number of sustainability_keywords hits on the respective website.
innoprob	Numerical probability of the company to be an innovator (Innoprob score). Only available in German-speaking countries.
innoprob_innovator_probability	Probability of the company to be an innovator (Innoprob score) (very low, low, medium, high, very high). Only available in German-speaking countries.
social_innoprob	Numerical probability of the company to be an innovator (Social Innoprob score). Only available in German-speaking countries.
social_innoprob_innovator_probability	Probability of the company to be a social innovator (Social Innoprob score) (very low, low, medium, high, very high). Only available in German-speaking countries.
retailer_probability	Probability of being a retailer.
leisure_score	Number of leisure activity facilities at the company location.
recreational_score	Number of recreational activity facilities at the company location.
transport_score	Public transport capacity at the company location.
cultural_score	Number of cultural activity facilities at the company location.
precipitation	Amount of precipitation at firm location.
precipitation_category	Categorised amount of precipitation at firm location (very low, low, medium, high, very high).
temperature	Average temperature [°C] at firm location.
temperature_category	Categorised average temperature [°C] at firm location (very low, low, medium, high, very high).
SO2	Average concentration of sulfur dioxide at firm location.
SO2_category	Categorised average concentration of sulfur dioxide at firm location (very low, low, medium, high, very high).
NO2	Average concentration of nitrogen dioxide at firm location.
NO2_category	Categorised average concentration of nitrogen dioxide at firm location (very low, low, medium, high, very high).
aerosol	Average concentration of aerosols at firm location.
aerosol_category	Categorised average concentration of aerosols at firm location (very low, low, medium, high, very high).
CH4	Average concentration of methane at firm location.
CH4_category	Categorised average concentration of methane at firm location (very low, low, medium, high, very high).
CO	Average concentration of carbon monoxide at firm location.
CO_category	Categorised average concentration of carbon monoxide at firm location (very low, low, medium, high, very high).
HCHO	Average concentration of formaldehyde at firm location.
HCHO_category	Categorised average concentration of formaldehyde at firm location (very low, low, medium, high, very high).
O3	Average concentration of ozone at firm location.
O3_category	Categorised average concentration of ozone at firm location (very low, low, medium, high, very high).
air_quality_indicator	Sum of normalised air pollutant concentrations at firm location.
air_quality_indicator_category	Categorised air quality indicator (very low, low, medium, high, very high).
links	Incoming and outgoing hyperlinks to and from the respective website.
links_count	Number of incoming and outgoing hyperlinks to and from the respective website.
outgoing_links	Outgoing hyperlinks from the respective website.
outgoing_links_count	Number of outgoing hyperlinks from the respective website.
incoming_links	List of incoming hyperlinks to the respective website.
incoming_links_count	Count of incoming hyperlinks to the respective website.
techstack	List of website technologies used on the website.
new_register_entry	The value in this column is True if the commercial register entry for this observation is less than 5 years old.
geolocation	Point coordinates of firm location in well-known text (EPSG: 4326) format.
lon	Longitude of firm location (EPSG: 4326)
lat	Latitude of firm location (EPSG: 4326)