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 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

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

Historical dataset of population level and growth rate for the Edinburgh, UK metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the Edinburgh population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Edinburgh.

Content

The dataset constitues the following two datasets across these two themes

• Edinburgh, IN Population Breakdown by Gender
• Edinburgh, IN Population Breakdown by Gender and Age

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/.

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.

Natural neighbourhoods are neighbourhood definitions and boundaries created during a consultation with Edinburgh residents. Natural neighbourhood boundaries were created in 2004 as part of a review of ward boundaries. The city has changed much since then, the population has increased, new neighbourhoods have appeared and demolition has taken place in other areas so the 2014 consultation has updated these boundaries. The boundaries will be used by the Council and its partners to plan services, consultations and inform policy and strategy development.

Local Nature Reserves are areas of (at least) locally important natural heritage, designated and managed by local authorities to give people better opportunities to learn about and enjoy nature close to where they live. They are found across the country, but generally close to towns and cities. More details are available here: https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/local-designations/local-nature-reserves Where we have not been supplied with data by local authorities we are extracting it from a previously produced NatureScot national dataset. Site name, designation date, website URL (for more information) and PA code are all mandatory attributes for this dataset now.

Citywide analysis of the Census 2011 Edinburgh results Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence

A Polling District is a geographical subdivision of an electoral area such as an electoral Ward within which a polling place is designated. The Representation of the People Act 1983 places a duty on LA to divide the local authority area into polling districts based on ward boundaries, and to designate a polling place for each district. LAs also have a duty to keep these polling arrangements under review. The Electoral Administration Act 2006 introduced amendments to the 1983 Act (which in turn has been superseded by The Electoral Administration Act 2013). Now local authorities must conduct a full review (with public consultation) of its polling districts and polling places every four years, however adjustments to the boundaries of polling districts and the designation of polling places within LA wards can be proposed at any time in response to changes in ward boundaries or to the availability of premises that can be reasonably designated as polling places. The Fifth Review of Electoral Arrangements concluded in May 2016 when the LGBCS made recommendations to Scottish Ministers for the number of Councillors and the electoral ward boundaries in each of Scotland's 32 local authorities. The review recommended changes in 30 LA areas of which all but 5 were accepted and came into force on 30th Sept 2016. As a result, ward boundaries (and therefore polling districts and possibly polling places) were changed after this date in time for the May 2017 elections. The following fields are now MANDATORY fields for this dataset. "district_code" - The polling district code linked to the polling place "UPRN" - The Unique Property Reference Number for the Corporate Address Gazeteer record of the polling place "polling_place" - The name and/or address of the polling place (based on the Corporate Address Gazeteer record)

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.

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 dataset contains a variety of demographic measures (related to fertility, marriage, mortality and migration), plus a range of socio-economic indicators (related to households, age structure, and social class) for the 2000+ Registration Sub Districts (RSDs) in England and Wales for each census year between 1851 and 1911, and for the 600+ Registration Districts of Scotland 1851-1901. The measures have mainly been derived from the computerised individual level census enumerators' books (and household schedules for 1911) enhanced under the I-CeM project. I-CeM does not currently include data for England and Wales 1871, although the project has been able to access a version of the data for that year it does not contain information necessary to calculate many of the variables presented here. Scotland 1911 is also not available. Users should therefore beware that 1871 does not contain data for many of the variables. Additional data has been derived from the tables summarising numbers of births and deaths by year and areas, which were published by the Registrar General of England and Wales in his quarterly, annual and decennial reports of births, deaths and marriages. Data from the decennial reports was obtained from Woods (SN 3552) and we transcribed data from the quarterly and annual reports ourselves. Counts of births and deaths for Scottish Registration Districts were obtained from the Digitising Scotland project at the University of Edinburgh. The dataset builds on SN 8613 and SN 853547 which provide data for a more limited set of variables and for England and Wales only (the same dataset also has two UKDS SN numbers as it was re-routed by UKDS during the deposit process).

This project will present the first historic population geography of Great Britain during the late nineteenth century. This was a period of unprecedented demographic change, when both mortality and fertility started the dramatic secular declines of the first demographic transition. National trends are well established: mortality decline started in childhood and early adulthood, with infant mortality lagging behind, particularly in urban-industrial areas. The fall in fertility was led by the middle classes but quickly spread throughout society. Urban growth was fuelled by movement from the countryside to the city, but there was also considerable migration overseas, particularly from Scotland, although to some extent outmigration was offset by immigration. There was local and regional variation in these patterns, and a contrast between the demographic experiences of Scotland and of England and Wales. Marriage was later in Scotland but fertility within marriage higher, and the improvement in Scottish mortality was slower than that south of the border. However, while there has been research on local and regional patterns within each country, these have mainly been pursued separately, and it is therefore unclear whether there were real national differences or whether there were local demographic continuities across borders, and if so whether they followed economic, occupational, cultural or even linguistic lines. Understanding population processes involves a holistic appreciation of the interaction between the basic demographic components of fertility, mortality, nuptiality and migration, and how they come together, interacting with economic and cultural processes, to create a specific demographic system via the spread of people and ideas. This project is the first to consider a historical population geography of the whole of Great Britain across the first demographic transition, drawing together measures of nuptiality, fertility, mortality and migration for small geographic areas and unpacking how they interacted to produce the more readily available broad-brush national patterns for Scotland and for England and Wales.

We will build on our immensely successful project on the fertility of Victorian England and Wales, which used complete count census data for England and Wales to calculate more detailed fertility measures than ever previously possible for some 2000 small geographic areas and 8 social groups, allowing the investigation of intra-urban as well as urban-rural differences in fertility. The new measures allowed us to examine age patterns of fertility across the two countries for the first time. We were also able to calculate contextual variables from the census data which allowed us to undertake spatial analysis of the influences on fertility over time. As well as academic papers, our previous project presented summary data at a fine spatial resolution in an interactive online atlas, populationspast.org, a major new resource which is already being widely used as a teaching tool in both schools and universities.

In this new project we will calculate comparable measures of fertility and contextual variables using the full count census data for Scotland, 1851 to 1901 inclusive, to complement those for England and Wales....

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Edinburgh by race. It includes the distribution of the Non-Hispanic population of Edinburgh across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Edinburgh across relevant racial categories.

Key observations

Of the Non-Hispanic population in Edinburgh, the largest racial group is White alone with a population of 3,900 (97.55% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Edinburgh
• Population: The population of the racial category (for Non-Hispanic) in the Edinburgh is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Edinburgh total Non-Hispanic 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

Noise maps showing areas that are relatively louder or quieter, measured in decibels (dB), for industry noise within agglomerations in 2021. The data represents the daytime levels (Lday) - the annual average A-weighted long-term sound over the daytime period (07:00-19:00). Qualifying agglomerations are urban areas with populations in excess of 100,000 people, i.e. Aberdeen, Dundee, Edinburgh, Falkirk and Glasgow.

Scottish Ministers commissioned strategic noise mapping analysis to meet the requirements of the Environmental Noise Directive (Directive 2002/49/EC), which is legally implemented in Scotland thorough the Environmental Noise (Scotland) Regulations 2006, as amended by the Environmental Noise (Scotland) Amendment Regulations 2018.

Noise maps are used to identify areas where noise levels are high and, by linking population data, estimate how many people are affected. This aids in the production of noise action plans to manage noise and reduce noise levels where appropriate.

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.

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.

Low Emission Zones (LEZs) are designed to improve air quality and were introduced across Aberdeen, Dundee, Edinburgh and Glasgow. Planning continues at a national and local authority level. Local grace periods now apply until enforcement begins. In Glasgow, the LEZ enforcement started on 1 June 2023 (1 June 2024 for residents within the zone) Dundee will start enforcement on 30 May 2024 Aberdeen will start enforcement on 1 June 2024 Edinburgh will start enforcement on 1 June 2024 The Scottish Government will continue to develop support and funding to help people and businesses meet LEZ requirements.

This dataset shows the population data collected for the 2011 Census mapped against Local Authority Districts. Fields include, total population, break down by sex, households, population in communal living, school boarders and population density for census areas. his 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.