This dataset is published as Open DataScottish Index of Multiple Deprivation, Small Area Population Estimates, and Child Poverty The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.National Records of Scotland Small Area Population Estimates (2021)Child Poverty by Datazone (2022/23)

population and society - settlements and localities population estimates (male 2020)

There is no description available for this dataset.

This dataset contains the National Records of Scotland mid-year population density estimates for the Stirling Council area from 2000 onwards.

population and society - settlement and localities population estimates by age (all persons 2020)

This dataset contains the National Records of Scotland (NRS) birth time series data for the Stirling Council area.

This app is published as Open Data, is the most recent, and replaces any previously published dataset.Scottish Index of Multiple Deprivation (2020), Small Area Population Estimates (2021), and Child Poverty (2022/23)The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.Child Poverty by Datazone (2022/23)This app uses the following published resources:mapdataset

population and society - settlement and localities population estimates by age (female 2016)

This dataset is published as Open Data, is the most recent, and replaces any previously published dataset.The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.The dataset can be viewed by Ward, Intermediate Zone (IZ) and Scottish Parliamentary Constituency (SPC).Details of the methodology used to determine the income, employment, education, health, access (to services), crime and housing domains can be opened from this link. Depending on the browser used to access this dataset, view the document from the options appearing on the screen.The SIMD dataset has been sourced from: SpatialData.gov.scotThis dataset is also used in the associated SIMD and Child Poverty map and application.

The Scottish Government published updated versions of Data Zones and Intermediate Zones (December 2024).Data Zones and Intermediate Zones have been updated to reflect changes to population and other geographical boundaries since they were last revised in 2014 following the 2011 Census. In particular, the proposed changes have been produced to align with new population data from the 2022 Census.Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector. Composed of groups of Census Output Areas, Data Zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within local authorities (at the time of the Census), and have compact shapes that respect physical boundaries where possible. When Data Zones were originally created for the 2001 Census, they were designed to contain households with similar social characteristics. Aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available. Data Zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to Data Zones using 2022 Census data, there are now 7,392 Data Zones covering the whole of Scotland.What are Data Zones and Intermediate Zones?Data Zones are statistical geographies used to produce small area statistics at a local level. They are designed to have a population of between 500 and 1,000 people, making them small enough to describe communities while also being large enough to avoid disclosing personal information.They serve two main functions in the production of official statistics. Firstly, they provide a standard, stable geography for the production and publication of statistics at a local area on a wide range of topics. Secondly, aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available.Intermediate Zones are similar to Data Zones but cover a larger population and area. They are used to produce local area statistics where statistics cannot be published at Data Zone level due to the risk of disclosing sensitive information.How Data Zones and Intermediate Zones will be usedThe revised Data Zones boundaries have been published on the Scottish Government’s spatial data platform and are now available for use by statistics producers.Data Zone BoundariesData Zone CentroidsIntermediate Zone BoundariesIntermediate Zone CentroidsA csv geography lookup table aggregating from 2022 Data Zones to higher level geographies is available on statistics.gov.scot.Census data for the new Data Zones and Intermediate Zones will be published in 2025. A lookup file that links Census Output Areas to Data Zones and Intermediate Zones has been published by National Records of Scotland.If you have any questions about Data Zones and Intermediate Zones please contact statistics.enquiries@gov.scot.Statistics Updates to Data Zones and Intermediate Zones now published - Statistics

There is no description available for this dataset.

population and society - small area population estimates (mid-2017 all persons)

population and society - small area population estimates (mid-2020 all persons)

This dataset is published as Open Data. Scotland's Census 2022 - Output Area Geographies. This dataset can be used to join published tables of data to, creating either their geographies or additional table datasets.The boundaries are available at Extent of the Realm and clipped to the Mean High Water (MHW) Mark with inland water removed.Description: Output Areas created by aggregating frozen postcodes.Output Code: A code that identifies a Census 2022 Output Area (OA).Households: 2022 Census occupied household count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Population: 2022 Census household population count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Local Authority Code: A code that identifies a 2019 Council Area.Master Postcode: Postcode assigned as the Master Postcode for Output Area.

There is no description available for this dataset.

population and society - scottish index of multiple deprivation 2020 (stirling)

population and society - small area population estimates (mid-2021 all persons)

This dataset is published as Open Data. Scotland's Census 2022 - Ethnic Groupings. This table can be used to join to the published Output Area Geographies, creating either their geographies or additional table datasets.The boundaries are available at Extent of the Realm and clipped to the Mean High Water (MHW) Mark with inland water removed.Description: Output Areas created by aggregating frozen postcodes.Output Code: A code that identifies a Census 2022 Output Area (OA).Households: 2022 Census occupied household count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Population: 2022 Census household population count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Local Authority Code: A code that identifies a 2019 Council Area.Master Postcode: Postcode assigned as the Master Postcode for Output Area.

This dataset is published as Open Data.2022 Census Settlement:The 2022 Census Settlement boundaries have been created using the Census 2022 frozen Postcode boundaries.National Records of Scotland (NRS) create Settlement boundaries by categorising Postcodes as either high or low density. A Postcode was defined as high density if at least one of the following applied:It had more than 2.1 households per hectare.It had more than 0.1 non-residential addresses per hectare; orThe Census population per hectare exceeds five people.The threshold densities were set as they were found to give a good approximation to the built-up areas identified in previous Censuses using traditional methods. The second condition was included such that non-residential parts (e.g. industrial estates) of built-up areas could be identified and included.An additional rule was implemented from the 2016 (non-Census) version, which stated that any Postcodes which fell within the previous version Settlement boundary(based on centroid point in polygon assignment) would automatically be included in the new Settlement.The classified Postcodes were then grouped into areas of neighbouring high-density Postcodes, or ‘Settlements’. Areas of low-density Postcodes completely surrounded by the high-density areas (i.e. ‘holes’) were incorporated into the Settlement.Populations for each area were then calculated, and any settlement with fewer than 500 residents was discarded.2022 Census Settlement and Locality CentroidsEach population weighted centroid was calculated using a median centroid algorithm, the result of which is less influenced by outliers than the result of an algorithm to calculate the mean centroid. The process for creating Census 2022 Settlements centroids was automated usingESRI ArcGIS, but the general method is as follows. The median easting and northing coordinate pair for all Census 2022 frozenPostcodes within the Settlement is calculated, giving a notional centroid of the Settlement. The distance from each of the Postcode centroids to the notional (or median) centroid is calculated using Pythagoras' Theorem. The Postcode coordinate pair with the shortest distance to the median was then chosen to represent the centroid of the Settlement/Locality.

Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo