Local nature conservation sites (LNCS) is a non-statutory designation given by local authorities to areas of locally important nature and landscapes. NatureScot, on behalf of the Local Nature Conservation Sites Working Group, published guidance (https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/local-designations/local-nature-conservation-sites) for local authorities on the establishment and management of LNCS systems in Scotland. One of the LNCS working group's recommendations was that all local authorities should adopt the LNCS name in place of the many different local names. However, many councils still use alternative names for these sites such as Local Biodiversity Sites, Local Wildlife Sites, Local Geodiversity Sites and Sites of Interest for Nature Conservation. We have merged these all into this national dataset. Four LAs are still to confirm and digitise their LNCSs.

The Scottish Vacant and Derelict Land Survey (SVDLS) is a national data collection undertaken to establish the extent and state of vacant and derelict land in Scotland. The survey has been operating since 1988. This survey is associated with the Scottish Vacant and Derelict Land Fund, under which cash allocations are made to Planning Authorities. Every year the Scottish Government Communities Analysis Division produce a National Statistics statistical publication based on data collected and processed from all Local Authorities and Loch Lomond and Trossachs National Park Authority. This includes an SVDLS Site Register. Where spatial data is provided by Planning Authorities, the data is reviewed to make sure it matches the published SVDLS Site Register. Improvement Service then combine the spatial data with the SVDLS site Register for the current survey year (2023 published in 2024 for most authorities) and combined it to this year's SVDLS Site Register (using the site reference). Where Planning Authorities have not provided spatial data for the current year, their previous spatial data return has been used, or where there is no spatial data at all for site we have buffered the easting and northing provided in the survey, to create a circular polygon area for the site. The definitive data source is the SVDLS Site Register available here: https://www.gov.scot/publications/scottish-vacant-and-derelict-land-survey---site-register/ The Scottish Government vacant and derelict land statistics are also available as a map, and can be accessed at https://isshinyapps.shinyapps.io/SVDL_mapping_2023/ The map also shows planning application information as of October 2024, where a planning application has been submitted within an SVDL site boundary. This data is drawn directly from local authorities and does not form part of the Scottish Government vacant and derelict land statistical return or the Scottish Government Planning Applications statistical return. These statistics may be found on the Scottish Government Planning Statistics website: https://www.gov.scot/collections/planning-statistics/ -these data have been quality assured by the Scottish Government.

Period life expectancy by age and sex for Scotland. Each national life table is based on population estimates, births and deaths for a period of three consecutive years. Tables are published annually.

Graph and download economic data for Real Gross Domestic Product: All Industries in Scotland County, NC (REALGDPALL37165) from 2001 to 2023 about Scotland County, NC; NC; real; industry; GDP; and USA.

This dataset comprises the macrophyte records from the JNCC standing waters database. It includes 79,246 records from 3,547 locations from across England, Wales and Scotland and date from 1970 to 2000. The parent database held by SNH also holds information on invertabrates as well as the physical and chemical attributes of the individual standing waters and their respective catchments. The Scottish data, which makes up the majority of the records, were collected during the SNH Loch Survey project.

The boundaries of the designated Nature Conservation MPAs provided in this dataset represent the final recommendations within both the 12 nautical mile Territorial Sea limit (on the basis of advice provided by Scottish Natural Heritage - the Scottish Government's adviser on all aspects of nature and landscape across Scotland) and in the UK offshore waters adjacent to Scotland (on the basis of advice provided by the Joint Nature Conservation Committee- the statutory adviser to UK Government and devolved administrations on UK-wide and international nature conservation). A suite of 30 Nature Conservation MPAs (MPAs) were designated by Scottish Ministers on the 24th July, 2014. A further site West of Scotland MPA managed by JNCC was designated by ministers on 25th September 2020. Four additional Nature Conservation MPAs were designated by Scottish Ministers on the 3rd December 2020. Red Rocks and Longay (Urgent ncMPA) was designated by Scottish Ministers on t 10th March 2021. The following URLs provide links to further information on the Nature Conservation MPAs, the wider network and protected areas management: www.scotland.gov.uk/Topics/marine/marine-environment/mpanetwork, www.nature.scot/professional-advice/safeguarding-protected-areas-and-species/protected-areas/national-designations/marine-protected-areas-mpas and www.jncc.defra.gov.uk/scottishmpas.

Description:

👉 Download the dataset here

This dataset offers a comprehensive collection of geolocated images captured in Scotland by the Defence Science and Technology Laboratory (Dstl) in February 2019. The dataset is designed to support the development and testing of algorithms that can infer an image’s geographical location based on its visual content rather than relying solely on metadata. This capability is particularly valuable in defense, security, and emergency scenarios, where images may lack precise metadata or timestamps but still need to be geolocated.

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Key Use Cases

One of the primary defense applications for this dataset is to assist in locating hostages or other persons of interest from visual media such as photos or videos sent by captors. In such critical cases, intelligence analysts may only have limited visual data, such as one or two images, and may lack accurate metadata regarding the time or location of the capture. This dataset aids in the creation of machine learning algorithms capable of analyzing the content within the images—such as landscapes, buildings, or natural features—to predict the location.

Dataset Composition and Structure

The dataset consists of a variety of images representing both urban and rural environments, providing diverse visual cues such as buildings, streets, landscapes, and natural elements (e.g., forests, hills). Images were captured using a mobile phone, resulting in mixed quality, a deliberate decision to simulate real-world conditions where image quality may vary. These variations in quality and orientation challenge algorithm development, ensuring robustness across different scenarios.

Geolocation Accuracy

Each image in this dataset is accompanied by geolocation data, which has undergone manual inspection and corrections to mitigate inaccuracies caused by mobile GPS lag. The dataset boasts an accuracy within 100 meters for all images, with most achieving significantly higher accuracy. This ensures that the dataset is suitable for high-precision geolocation tasks, providing a reliable foundation for model training and evaluation.

Privacy and Data Modifications

To safeguard privacy, all identifiable faces and vehicle license plates in the images have been blurred. Apart from these modifications, the images have been kept in their original form to preserve the authenticity and realism of the dataset. The images span a range of angles, orientations, and times of day, making them ideal for training models that must function under variable conditions.

Data Quality and Variety

The dataset emphasizes realistic image conditions, offering a diverse range of visual content:

Urban and rural settings.

Varied lighting and weather conditions.

Different image orientations and angles to simulate real-world data variability.

This dataset is sourced from Kaggle.

About this dataset

Context

The dataset tabulates the Scotland town 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 Scotland town 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 2021, the population of Scotland town was 1,568, a 0.06% decrease year-by-year from 2020. Previously, in 2020, Scotland town population was 1,569, a decline of 6.22% compared to a population of 1,673 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Scotland town increased by 13. In this period, the peak population was 1,726 in the year 2010. 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).

https://i.neilsberg.com/ch/population-of-scotland-ct-population-by-year-2000-2021.jpeg" alt="Scotland town population by year">

Content

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

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Scotland town is shown in this column.
• Year on Year Change: This column displays the change in Scotland town 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 Scotland town Population by Year. You can refer the same here

Settlements of Scotland are built-up areas which round to 500 people or more.

Statistics produced from this geography can be used to help understand the demographics of local communities.

National Records of Scotland (NRS), produces 2 datasets which are designed to show the boundaries of urban areas in Scotland: these datasets are Settlements and Localities.

Further details on settlements and localities, including the methodology, can be found in the Special Area Population Estimates: Settlements and Localities section of the NRS website.

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• Scotland, SD Population Breakdown by Gender
• Scotland, SD 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/.

The aim of the Native Woodland Survey of Scotland (NWSS) was to undertake a baseline survey of all native woodlands, nearly native woodlands and PAWS sites in Scotland in order to create a woodland map linked to a dataset showing type, extent and condition of those woods.

The objectives were to:

Identify the location, type, extent and condition of all native and nearly native woodlands and Plantations on Ancient Woodland Sites (PAWS - as identified from the Ancient Woodland Inventory) in Scotland.Produce a baseline survey map of all native woodland, nearly native woodland and PAWS in Scotland.Collect baseline information to enable future monitoring of the extent and condition of the total Scottish native woodland resource.Provide information to support policy development and the delivery of social, environmental and development forestry.

The following NWSS datasets are available from Scottish Forestry.

Native Woodland Survey of Scotland (base map and polygon level attributes)NWSS Canopy StructureNWSS Habitat ComponentsNWSS Herbivore ImpactNWSS InvasivesNWSS Other TraitsNWSS Species Structures

The following describes the layers available from Scottish Forestry and also gives an indication of the nature of the spatial data and the related component non-spatial data. (N.B. Every table contains a SCPTDATA_I field. This is a unique field which is used to link all other component tables). If you wish to carry out complex analysis, particularly involving elements of the components tables, e.g. species selection, you should do so using GIS software.

NWSS Map:

This is a straightforward view of the data which describes the type of NWSS polygon based on the following categories:

Native woodland: >50% native species in the canopyNearly-native woodland: >=40% and <=50% native species in the canopyOpen land habitat: <20% canopy cover, usually 100% surrounded by woodland and adjoining a native woodlandPAWS: A woodland area wholly or partially identified in the Ancient Semi-natural Woodland Inventory as ancient semi-natural but currently not semi-natural.

NWSS Nativeness:

Displays the percentage share of native species in the total canopy. This ranges from 0% to 100% in 5% classes.

NWSS Habitat:

This view of the data shows the priority woodland type and National Vegetation Classification (NVC) woodland community. Open land habitat is defined by UK Biodiversity Action Plan (BAP) type.

A dominant habitat is recorded for each polygon, however some polygons have habitats of equal dominance. In this case only one of the habitats is recorded in the top level spatial data. To identify all of the habitats in a particular polygon please refer to the NWSS Habitat Components table.

Plantations on Ancient Woodland Sites (PAWS) may not display in the Habitat layer if a surveyor has not recorded a native priority habitat type for the site. This will happen when a site is non-native.

NWSS Canopy Cover:

Displays as a percentage, an assessment of the area covered by trees/shrubs. Values range from 0% to 100% in 10% classes. A minimum of 20% canopy cover is required to define woodland, so the 10% and 20% bands are skewed to allow for this.

NWSS Canopy Structures:

This displays the number of different structures recorded in a polygon (ranging from 0 to 6). The types of recorded structures are veteran, mature, pole immature, shrub, established regeneration or visible regeneration.

A dominant structure is recorded for each polygon, however some polygons have structures of equal dominance. In this case only one of the structures is recorded in the top level spatial data. To identify all of the structures in a particular polygon please refer to the NWSS Canopy Structures.

Information on the species identified in each polygon is also in the NWSS Canopy Structures layer and table.

• indicates a species which is classed as native for the purpose of the survey.

• indicates a species is a shrub not a tree.

NWSS Semi-naturalness:

This view of the data shows the percentage of the polygon that is semi-natural. Values range from 0% to 100% in 10% bands.

NWSS Maturity:

This indicates the approximate stage of woodland development as either: mature, young, regenerating, mixed or shrub. The value is based on the dominance of the structures recorded; a mixed maturity means that none of the others values are dominant.

NWSS Other Traits:

This layer records whether or not there are any other attributes which have been recorded in the polygon. The details of any other traits that have been found can be accessed by viewing the related information attached to a polygon.

NWSS Herbivore Impact:

This view of the data shows the overall impact that herbivores have had on a polygon.

Summary of Attributes

SCPTDATA_I Polygon ID (Unique identifier)PAWS_SURVY Surveyed as PAWSTYPE TypeCANOPY_PCT Canopy cover percentageNATIVE_PCT Native species percentageDOM_HABITA Dominant habitat typeDOM_HB_PCT Dominant habitat type percentageSEMINT_PCT Semi-natural percentageSTRUCT_NUM Number of structuresMATURITY MaturityDOM_STRUCT Dominant structureHERBIVORE Herbivore impactER_NAT_PCT Percentage of establish regeneration of native speciesINVASV_PCT Invasive species percentageINVASV_NUM Number of invasive speciesOTHR_TRAIT Other traits recordedHECTARES Area in hectaresFor more detailed information please see the metadata record on Scotland's SpatialData.gov.scot Metadata Portal

Recent and historical records of red and grey squirrels submitted to the Scottish Squirrel Database, an ongoing system of monitoring squirrels throughout Scotland currently administered by the Scottish Wildlife Trust. The dataset brings together historical records from the Scottish Squirrel Survey, data generated by the Saving Scotland's Red Squirrels project (including web recording forms), and recent and historical records submitted to the database by squirrel groups, local record centres and other organisations. The dataset is updated annually. 

About this dataset

Context

The dataset tabulates the data for the Scotland, Connecticut population pyramid, which represents the Scotland town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Scotland, Connecticut, is 20.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Scotland, Connecticut, is 23.2.
• Total dependency ratio for Scotland, Connecticut is 44.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Scotland, Connecticut is 4.3.

https://i.neilsberg.com/ch/scotland-ct-population-by-age-and-gender-population-pyramid.jpeg" alt="Scotland town population pyramid">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Scotland town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Scotland town for the selected age group is shown in the following column.
• Population (Female): The female population in the Scotland town for the selected age group is shown in the following column.
• Total Population: The total population of the Scotland town 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 Scotland town Population by Age. You can refer the same here

This dataset is published as Open DataDigital boundaries of Scotland's National Parks: Cairngorms National Park and Loch Lomond and the Trossachs National Park.The Scottish Government maintains digital boundaries for the designated areas of Scotland's National Parks. Scotland currently has two National Parks, Cairngorms and Loch Lomond and the Trossachs.The aim of Scotland's National Parks is to deliver better management of areas of outstanding natural and cultural heritage. This is achieved by the conservation and enhancement of natural and cultural heritage, promotion of sustainable use of natural resources, promotion of public understanding and enjoyment (including recreation), and promotion of sustainable social and economic development of the communities of the area. These boundaries are used for the provision of relevant statistics and to inform policy development.

Graph and download economic data for Unemployment Rate in Scotland County, NC (LAUCN371650000000003A) from 1990 to 2024 about Scotland County, NC; NC; unemployment; rate; and USA.

About this dataset

Context

The dataset tabulates the Scotland 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 Scotland. The dataset can be utilized to understand the population distribution of Scotland by age. For example, using this dataset, we can identify the largest age group in Scotland.

Key observations

The largest age group in Scotland, TX was for the group of age 5 to 9 years years with a population of 103 (16.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland, TX was the 40 to 44 years years with a population of 4 (0.66%). 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 Scotland is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Scotland 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 Scotland Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Scotland County 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 Scotland County 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 Scotland County was 34,376, a 0.08% increase year-by-year from 2022. Previously, in 2022, Scotland County population was 34,350, an increase of 0.19% compared to a population of 34,285 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Scotland County decreased by 1,583. In this period, the peak population was 36,533 in the year 2008. 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 Scotland County is shown in this column.
• Year on Year Change: This column displays the change in Scotland County 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 Scotland County Population by Year. You can refer the same here

This dataset is Lidar data that has been collected by the Scottish public sector and made available under the Open Government Licence. The data are available as point cloud (LAS format or in LAZ compressed format), along with the derived Digital Terrain Model (DTM) and Digital Surface Model (DSM) products as Cloud optimized GeoTIFFs (COG) or standard GeoTIFF. The dataset contains multiple subsets of data which were each commissioned and flown in response to different organisational requirements. The details of each can be found at https://remotesensingdata.gov.scot/data#/list

This dataset contains the bibliographic records from the Library's catalogue of published material: books, maps, music, journals, newspapers, pamphlets, flyers and more, and includes records for printed and digital publications. It excludes records from our catalogue where we believe the originator exerts rights over the re-use of the metadata.

Period and cohort expectation of life in Scotland using the principal projection by single year of age 0 to 100.