The dataset contains demographic data for the 99 municipalities (kommune) of Denmark, offering a comprehensive snapshot of their 2023 population - age, gender, nationality, employment, education, families, and more. At Geolocet, we offer the most simplified and cost-efficient demographics data acquisition process on the market. No lengthy sign-up processes or NDAs required on our side – just evaluate (free sample available for an instant evaluation) and download the data you need.
Get instant access to the latest Demographics Data for Denmark with Geolocet
Explore the richness of Denmark’s demographic landscape with our Denmark Census Data for 2023. This meticulously compiled dataset, sourced from official statistical sources, including Statistics Denmark, offers a detailed insight into the population demographic of Denmark at the municipality (kommune) level.
If you require data at a less granular level, such as an Uber grid or square grid, please don't hesitate to get in touch with us at contact@geolocet.com. We understand that different projects may have varying data needs, and we are here to tailor our data to match your specific requirements.
Key Features:
Population Data Denmark: Gain access to the latest and most accurate demographic statistics for Denmark, meticulously organized by municipality (kommune).
Demographic Insights: Dive deep into Denmark’s demographic landscape with data on 560+ attributes, including:
Total population
5-years age bands population distribution,
Gender distribution,
Gender divided by age distribution,
Education distribution,
Education split by gender,
Nationality distribution,
Education divided by nationality distribution,
Education split by nationality and gender distribution,
Nationality split by gender distribution,
Nationality divided by age distribution,
Nationality divided by age and gender distribution,
Employment status (estimation) distribution,
Employment status split by gender distribution,
Employment status split by age distribution,
Employment status split by age and gender distribution,
Families structure distribution,
Families size distribution,
Families structure split by number of children distribution,
Dwellings,
Dwellings split by ownership,
Occupied/unoccupied dwellings,
Occupied/unoccupied dwellings split by with/without registered population,
Dwelling types split by occupancy,
Dwelling types split by ownership,
Dwelling types split by ownership and occupancy.
All demographic attributes are available at the municipal (kommune) level.
Geodemographic Insights: Unlock geodemographic data Denmark-wide to inform location-based decision-making, marketing strategies, and policy formulation.
Seamless Data Access: Our data is available for instant download in CSV format. No lengthy sign-up processes or NDAs required on our side – just download the data you need.
Data Samples for Evaluation: To ensure you're getting exactly what you need, we provide free downloadable samples in CSV format for data evaluation.
Data accuracy: Our datasets are created using the latest demographics data available in national statistics bureaus, guaranteeing accuracy and reliability.
Best-in-Class Quality: We guarantee best-in-class quality, backed by over two decades of experience in modeling demographics data and an outstanding quality management process.
Competitive Pricing: We maintain the lowest prices on the market, ensuring that you get the most cost-efficient demographics data acquisition process.
Additionally, for those looking to enrich their analysis or project, we offer:
Administrative Boundaries: If you require geographical boundaries (polygons) for the municipalities of Denmark, consider exploring our Administrative Boundaries product, which seamlessly integrates with this dataset.
Point of Interest (PoI) Data: If you're interested in Points of Interest data, please don't hesitate to contact us for customized datasets to enhance your geographical analysis.
Data Customization: We understand that your project may have specific requirements. Feel free to get in touch with us if you need any modifications or specific data formats such as Excel, JSON, GeoJSON, or Shapefile. We are here to tailor the data to your needs.
Make informed decisions, conduct precise research, and unlock the potential of Denmark demographics data with our comprehensive dataset. Trust in the accuracy and reliability of our official statistical data to drive your projects forward. Contact us at contact@geolocet.com today to access this invaluable resource and explore Denmark census data like never before.
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This listing uses one pricing dimension: Product Access (Units). You buy access to the Denmark demographic dataset through a contract, with the number of units setting your subscription scope. There are no separate tiers or add-ons to combine. The dataset covers Denmark with 560+ demographic attributes, and access is granted to subscribers under the single unit-based dimension. Pricing scales with the number of units you select rather than by usage volume or feature packages.
Top-of-mind questions for buyers
What does one unit of Product Access represent for the Denmark demographic dataset?
A unit grants subscriber access to the Denmark dataset covering 560+ demographic attributes. The number of units you buy sets your subscription scope. Units define access, not a per-record or per-query meter. You choose the unit count that matches the access level you need.
Does my cost change based on how much data I download or query?
No. Pricing scales with the number of Product Access units you select, not with usage volume. Downloading or querying more records does not add charges. You commit to units under the contract, and your access covers the Denmark demographic dataset within that scope.
What geographic detail and content does the Denmark demographic dataset include?
The dataset covers Denmark with 560+ demographic attributes. Demographic data typically includes total population, gender, age bands, and population density. Denmark also offers administrative boundary levels such as country, region, and municipality, which help align demographic data to geographic areas.
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