In 2023, there were approximately 631,970 people living in Glasgow, with a further 523,250 people living in the Scottish capital, Edinburgh, the first and second most-populated Scottish council areas respectively. The region of Fife is also heavily populated, with approximately 373,210 people living there. The least populated areas are the islands of Scotland such as Orkney, estimated to have only 22,000 people there.

About this dataset

Context

The dataset tabulates the Edinburgh population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Edinburgh across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Edinburgh was 4,429, a 0.66% increase year-by-year from 2022. Previously, in 2022, Edinburgh population was 4,400, a decline of 0.68% compared to a population of 4,430 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Edinburgh decreased by 128. In this period, the peak population was 4,767 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Edinburgh is shown in this column.
• Year on Year Change: This column displays the change in Edinburgh population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Edinburgh population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Edinburgh across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Edinburgh was 4,400, a 0.72% decrease year-by-year from 2021. Previously, in 2021, Edinburgh population was 4,432, a decline of 0.16% compared to a population of 4,439 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Edinburgh decreased by 157. In this period, the peak population was 4,767 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Edinburgh is shown in this column.
• Year on Year Change: This column displays the change in Edinburgh population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Edinburgh, IN population pyramid, which represents the Edinburgh population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Edinburgh, IN, is 26.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Edinburgh, IN, is 23.5.
• Total dependency ratio for Edinburgh, IN is 49.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Edinburgh, IN is 4.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Edinburgh population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Edinburgh for the selected age group is shown in the following column.
• Population (Female): The female population in the Edinburgh for the selected age group is shown in the following column.
• Total Population: The total population of the Edinburgh for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Edinburgh by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Edinburgh. The dataset can be utilized to understand the population distribution of Edinburgh by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Edinburgh. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Edinburgh.

Key observations

Largest age group (population): Male # 40-44 years (198) | Female # 25-29 years (244). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Edinburgh population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Edinburgh is shown in the following column.
• Population (Female): The female population in the Edinburgh is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Edinburgh for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Gender. You can refer the same here

Scotland’s population was estimated to be 5,479,900 at mid-2021 (30 June 2021). The population increased by 13,900 people (0.25%) in the year to mid-2021. The average annual growth in the 5 years before the pandemic was higher than this, at around 23,100 people (0.43%). There have been more deaths than births for the last seven years. In the latest year, deaths outnumbered births by the largest amount on record. Migration was the main driver of population growth over the latest year. More people moved to Scotland than left, as has been the case for the last two decades. The pattern of population change was different to previous years. In the latest year, the population of the largest cities fell, which was a change from growth in previous years. The greatest population growth was in council areas around Edinburgh. In addition, many rural areas which had previously had falling populations saw an increase in population over the latest year.

This data is sourced from the Census 2011 and shows the population and population density by council area. Raw data sourced from http://www.scotlandscensus.gov.uk/en/censusresults/downloadablefiles.html and then manipulated in excel to merge a number of tables. The resulting data was joined to a shapefile of Scottish Council areas from sharegeo (http://www.sharegeo.ac.uk/handle/10672/305). Both sources should be attributed as the sources of the base data. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-12-19 and migrated to Edinburgh DataShare on 2017-02-21.

About this dataset

Context

The dataset tabulates the Edinburgh population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Edinburgh. The dataset can be utilized to understand the population distribution of Edinburgh by age. For example, using this dataset, we can identify the largest age group in Edinburgh.

Key observations

The largest age group in Edinburgh, IN was for the group of age 25 to 29 years years with a population of 402 (9.59%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Edinburgh, IN was the 85 years and over years with a population of 23 (0.55%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Edinburgh is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Edinburgh total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Age. You can refer the same here

Facts and statistics about different areas of the city Find latest available data for by using this interactive search tool. You can view and compare up to 2 geographies. These include the Council's 17 wards, the 4 new locality areas, Edinburgh and Scotland. How to use this tool: pick the areas you want to view from the drop down list under 'first area / second area' and then click on the tabs at the bottom of the spreadsheet to view your results. There is also a tab showing summary information of the 4 new localities data - 'Locality Comparison' in white. The data in the spreadsheet includes: Population - gender and age Housing Employment Education and professions Income Benefits Health & disability Lifestyle Satisfaction with Services Scottish Index of Multiple Deprivation data Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence

About this dataset

Context

The dataset tabulates the Edinburgh population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Edinburgh. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 2,649 (63.21% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Edinburgh population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Edinburgh is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Edinburgh is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Age. You can refer the same here

GB mid year population estimates by Local Authority from 1981 - 2009. Mid year estimates reflect the population at 30 June of the reference year. Population data was downloaded from Nomis (www.nomisweb.co.uk/) and joined to Local Authority (district, unitary authority and borough) boundaries downloaded from Ordnance Survey OpenData Boundary Line dataset and joined using ArcGIS. Contains public sector information licensed under the Open Government Licence v1.0. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-11-11 and migrated to Edinburgh DataShare on 2017-02-21.

Orkney and Shetland, the population isolates which make up the Northern Isles of Scotland, are of particular interest to multiple sclerosis (MS) research. While MS prevalence is high in Scotland, Orkney has the highest global prevalence, higher than more northerly Shetland. Many hypotheses for the excess of MS cases in Orkney have been investigated, including vitamin D deficiency and homozygosity: neither was found to cause the high prevalence of MS. It is possible that this excess prevalence may be explained through unique genetics. We used polygenic risk scores (PRS) to look at the contribution of common risk variants to MS. Analyses were conducted using ORCADES (97/2118 cases/controls), VIKING (15/2000 cases/controls) and Generation Scotland (30/8708 cases/controls) datasets. However, no evidence of a difference in MS associated common variant frequencies was found between the three control populations, aside from HLA-DRB1*1501 tag SNP rs9271069. This SNP had a significantly higher risk allele frequency in Orkney (0.23, p-value = 8 x 10-13) and Shetland (0.21, p-value = 2.3 x 10-6) than mainland Scotland (0.17). This difference in frequency is estimated to account for 6 (95% CI 3, 8) out of 150 observed excess cases per 100,000 individuals in Shetland and 9 (95% CI 8, 11) of the observed 257 excess cases per 100,000 individuals in Orkney, compared with mainland Scotland. Common variants therefore appear to account for little of the excess burden of MS in the Northern Isles of Scotland.

This population dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. Creation of this population dataset, derived from a 1961 census, was created to compare modern population density patterns with the distribution of ancient settlement patterns to ascertain if patterns are shared. There is a similarity between these patterns with higher concentrations of settlements and population along the banks of rivers until reaching the northern area of the Jazira where both extend across the wider landscape and away from rivers. Derived from 1:1 million scale map produced for the following report: Food and Agriculture Organization (FAO), United Nations. Etude des Ressources en Eaux Souterraines de la Jezireh Syrienne. Rome: FAO, 1966.Population map was copied to mylar and scanned to create a polygon coverage of the soil classes, which include land-use attribute information. Each polygon was labelled and attributed with population count. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-05 and migrated to Edinburgh DataShare on 2017-02-21.

Generation Scotland (GS) conducted a recontact survey on ~7,000 participants who could be contacted by email. The survey used Survey Monkey Inc. to understand GS participant opinions on health research. A total of 2,316 participants responded. This dataset include the summary level data and anonymised individual level data.

This dataset shows the population data collected for the 2011 Census mapped against Counties, Unitary Authorities, and Local Authority Districts. Fields include, total population, break down by sex, households, population in communal living, school boarders and population density for census areas. This data was sourced from the ONS website. http://www.ons.gov.uk/ons/rel/census/2011-census/key-statistics-for-local-authorities-in-england-and-wales/index.html It has been combined with the 2011 census area boundary dataset that can also be found on the ONS website. All re-use of this data should acknowledge the OSN as the source of the data. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-12-11 and migrated to Edinburgh DataShare on 2017-02-21.

According a walking and cycling survey in 2021, the majority of the population in Scottish cities reported to have walked *** to ***** times a week during the past seven days for the purpose of transport. Edinburgh and Glasgow had the highest share of residents who walked more than ** times a week at a share of ** and ** percent, respectively, whereas Inverness had the highest share of residents that didn't walk at all in the previous seven days for the purpose of traveling at a rate of ** percent.

The ecological and evolutionary importance of fine scale genetic structure within populations is increasingly appreciated. However, available data are largely restricted to wild vertebrates and eusocial insects. In addition there is the expectation that most insects tend to have such large and high density populations and are so mobile that they are unlikely to face inbreeding risks through fine scale population structuring. This has made the growing body of evidence for inbreeding avoidance in insects and its implication in mating systems evolution somewhat enigmatic. We present a four year study of a natural population of field crickets. Using detailed video monitoring combined with genotyping we track the movement of all adults within the population and investigate genetic structure at a fine scale. We find some evidence for relatives being found in closer proximity, both across generations and within a single breeding season. Whilst incestuous matings are not avoided, population inbreeding is low, suggesting that mating is close to random and the limited fine scale structure is does not create significant inbreeding risk. Hence there is little evidence for selective pressures associated with the evolution of inbreeding avoidance mechanisms in a closely related species.

About this dataset

Context

The dataset tabulates the population of Edinburgh by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Edinburgh across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.32% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Edinburgh is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Edinburgh total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Edinburgh Population by Race & Ethnicity. You can refer the same here

This paper examines the extent to which empirical estimates of inbreeding depression and inter-population heterosis in subdivided populations, as well as the effects of local population size on mean fitness, can be explained in terms of current estimates of mutation rates, and the distribution of selection coefficients against deleterious mutations provided by population genomics data. Using population genetics models, numerical predictions of the genetic load, inbreeding depression and heterosis were obtained for a broad range of selection coefficients and mutation rates. The models allowed for the possibility of very high mutation rates per nucleotide site, as is sometimes observed for epiallelic mutations in plants. There was fairly good quantitative agreement between the theoretical predictions and empirical estimates of heterosis and the effects of population size on genetic load, on the assumption that the deleterious mutation rate per individual per generation is approximately one, but there was less good agreement for inbreeding depression. Weak selection, of the order of magnitude suggested by population genomic data, is required to explain the observed patterns. Possible caveats concerning the applicability of the models are discussed.

Available data for gross domestic product (GDP) and population density are useful for defining divisions in socio-economic gradients across Europe, since economic power and human population pressure are recognised as two of the most critical factors causing ecosystem changes. To overcome both the limitations in data availability and in the distortions caused by using administrative regions, we decided to base the socio-economic dimension on an economic density indicator, defined as the income generated per square kilometre (EUR km-2), which can be mapped at a 1km2 spatial resolution. Economic density forms an integrative indicator that is based on two key drivers that were identified above: economic power and human population pressure. The indicator, which has been used to rank countries by their level of development, can be considered a crude measure for impacts on the environment caused by economic activity. An economic density map (EUR km-2) at 1 km2 spatial resolution was constructed by multiplying economic power (EUR person-1) with population density (person km-2). Subsequent logarithmic divisions resulted in an aggregated map of four economic density zones. Although the map has a fine spatial resolution it has to be realised that they form a spatial disaggregation of coarser census statistics. Importantly, the finer resolution discerns regional gradients in human activity that are required for many environmental studies, whilst broad gradients in economic activity is also treated consistently across Europe. GDP and population density data used were for the year 2001. The dataset consists of GeoTiff files of the economic density map and the four economic density zones.