The Esri Danish datasets are sourced from Michael Bauer Research GmbH.
Data source
Release: | February 2023. |
Vintage: | 2022 |
Data: | © Michael Bauer Research GmbH 2022 based on © Statistics Denmark, Eurostat. |
Boundaries: | © Michael Bauer Research GmbH, Nuremberg, Germany, 2022. Data source for Digital Boundaries: 2022 Michael Bauer Research GmbH contains © data from Geodatastyrelsen 2016, updated to vintage 2022 by Michael Bauer Research GmbH. © data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark’s Administrative Geographical Divisions, March 2022. All sources modified and enhanced by Michael Bauer Research GmbH; utilization only with authorization. |
Settlement points: | These settlement points were created using November 2022 OpenStreetMap (OSM) Building Footprints. Esri is a supporter of the OSM project, www.OpenStreetMap.org. The buildings were constrained to include only residential housing units. The buildings were verified and improved upon using the latest Esri imagery, Geonames point data, and HERE (Esri StreetMap Premium Layers (LandArea, BuiltUpArea)). When necessary, household values were distributed evenly onto multiunit residential buildings using a top-down approach with the Michael Bauer Research household values from the lowest level geographies. |
Dataset information
| Denmark | |
|---|---|
Three-letter ISO country code | DNK |
Currency | Danish Krone |
Three-letter currency code | DKK |
Number of attributes available | 135 |
Number of geography levels | 7 |
Geography levels
| Geography levels | Available for Denmark | Available through ArcGIS.com maps | Feature count |
|---|---|---|---|
Country | X | X | 1 |
Regions | X | X | 5 |
Postcodes1 | X | -- | 9 |
Provinces | X | X | 11 |
Postcodes2 | X | -- | 85 |
Municipalities | X | X | 99 |
Postcodes4 | X | -- | 1090 |
Data apportionment settings
Learn more about how data apportionment works.
| Threshold upper bound | Aggregation method | Level of geography |
|---|---|---|
150 km | Block Apportion | DK.Postcodes4 |
250 km | Centroids in Polygon | DK.Postcodes4 |
more | Centroids in Polygon | DK.Municipalities |
Standard Demographics
The following examples are representative of the variables and data categories available for this region. See the Reference documents for the full list of available variables and sample report.
| Data type | Year | Description |
|---|---|---|
Total Population | 2022 | Count of total population by regional boundaries. |
Population Density | 2022 | Regional population count divided by total regional sq. kilometers/miles. |
Population per Mill | 2022 | Count of total regional population divided by total national population and multiplied by 1,000. |
Total population by gender | 2022 | Count of regional male and female population. |
Total Households | 2022 | Count of total number of households within regional boundaries. |
Average Household Size | 2022 | Average size of households within regional boundaries; calculated by dividing the number of persons living in households by the total number of households. |
Total population by age and gender | 2022 | Count of regional total, male, and female population grouped by age. |
Households by Income | 2022 | Count of regional households grouped by reported annual household income. |
Households by Type | 2022 | Count of regional households grouped by household population structure, for example, single parent with children, married couple no children, and so forth. |
Marital Status | 2022 | Count of regional adult population grouped by marital status type: single, married, etc. |
Educational Attainment | 2022 | Count of regional population grouped by educational attainment levels. |
Unemployed Population | 2021 | Count of regional unemployed population. |
Purchasing Power: Total | 2022 | Total regional disposable income (income after taxes). |
Purchasing Power: Per Mill | 2022 | Total regional disposable income (income after taxes) divided by total regional population and multiplied by 1,000. |
Purchasing Power: Per Capita | 2022 | Total regional disposable income (income after taxes) divided by total regional population. |
Purchasing Power: Index | 2022 | A measure that compares the regional disposable income (income after taxes) to the national average, which has an index value of 100. For example, if a region's purchasing power index is 89, it has 11% less disposable income than the national average; if the region's index is 117, it has 17% more purchasing power than average. |
Consumer Expenditures | 2022 | Total consumer expenditure for specific product and service types. Data provided includes:
|
Reference documents
- Release notes (PDF)
- Variable list (CSV)
- Sample report (PDF)
- ArcGIS Living Atlas maps