Different migration-related data sources at local authority level including migration flows, non-UK-born and non-British populations, National Insurance number registrations, GP registrations, and births to non-UK-born mothers.

The local authority interactive tool (LAIT) is an app that presents information in interactive tables and charts, along with local authorities’ rank positions in England and against statistical neighbours.

It includes local authority, regional and national data on:

• children looked after and adoption
• child protection
• the children’s social care workforce
• special educational needs and disability
• pupil attainment and attendance
• children’s health
• youth justice
• post-16
• finance

The ‘Children’s services statistical neighbour benchmarking tool’ allows you to select a local authority and display its ‘closest statistical neighbours’ (local authorities with similar characteristics). The tool has been reviewed and rebuilt to include updated socio-economic variables from the 2021 census. More information is available in the associated update note and technical report.

mmrsaeed/my-local dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset is primarily intended to be used for informing development decisions. This dataset is incomplete, and contains some authoritative data provided by local authorities, as well as conservation area boundaries from Historic England, and other secondary sources found on data.gov.uk. The data currently contains a number of duplicate areas we are working to remove.

Local Insights provides access to demographic and development information and trends about individual local government areas via a web-based tool. It displays development applications (DAs) on a map, making it a handy tool to see what’s happening in your neighbourhood. Local Insights also shows growth areas and business sectors to help you identify opportunities. Enter your address, suburb or local Council area to view information on: * An interactive map showing the location of current development applications in 15 local government areas (LGAs) * Population growth * Number of households and household type * Demographic data * Development applications by type and price bracket * The number of development applications received * Average time taken to process development applications (in days) * The number of construction certificates issued * The average dollar value of development applications received * The ability to view DAs in adjacent local government areas when you ‘zoom in’ to a specific address * Information about each local government area grouped under the categories of general, demographic, development and business * New data about business sectors in each area

The Opinions and Lifestyle Survey is a Face-to-face interview of individuals in households. Data is available for Government Office Regions. The data for these tables is from the Well-Being Module, April, July and October, 2014. They cover a range of subjective well-being indicators that measure the respondents opinions using a score out of 10. The questions analysed here are: Overall, how satisfied are you with your life nowadays? Overall, to what extent do you feel that the things you do in your life are worthwhile? Overall, how happy did you feel yesterday? Overall, how anxious did you feel yesterday? Overall, how satisfied are you with your relationships with family, including spouse/partner? Overall, how satisfied are you with your relationships with friends? Overall, how satisfied are you with your physical health? Overall, how satisfied are you with your mental well-being? Overall, how satisfied are you with the well-being of your child/children? Overall, how satisfied are you with your financial situation? Overall, how satisfied are you with your work situation? Overall, how satisfied are you with your commute to work? How satisfied are you with the the time you spend on your paid work and on other aspects of your life? To what extent do you feel most people can be trusted? To what extent do you feel you have any relatives, friends or neighbours that you can ask for help? On a scale of 0 to 10 how lonely do you feel in your daily life? Overall, how satisfied are you with the local area where you live? How satisfied are you with the public gardens/parks etc. in the local area where you live? To what extent do you feel that you are involved in the local area where you live? To what extent do you feel you belong in the local area where you live? How safe would you feel walking alone in this local area after dark? Overall, how optimistic do you feel about the next 12 months? How satisfied are you with living in this country? How optimistic are you about the future of this country?

The map simulates a chain of coffee stores in Manhattan. The heat map layer helps explain the public's impression that "there's one on every corner."A simple map of store locations is useful to a point. When the map's symbols start to "stack up" on one another, a heat map can often help visualize the local area better than the collective "dots on the map" can.The data in this map was created for demonstration purposes only.

A Special Economic Zone in Chiang Khong, northern Thailand, could bring valuable investment into the area. But if it does go ahead, the wetland forests should be excluded to preserve the biodiversity of the local area, and to preserve the way of life of the local community.

This featured collection was created for use in EnviroAtlas: click here to open in the EnviroAtlas Interactive Map.

This featured collection is comprised of layers that cover broad topics relevant to assessing areas at-risk for environmental contamination, identifying vulnerable populations, and understanding important community characteristics. These national data, coming from both EnviroAtlas and external sources, have been curated based on Brownfields Program grant guidance. This collection provides a resource to assist brownfield grant applicants and awardees in presenting their stories and plans for redeveloping their local brownfields. Grant applicants should refer to the current year's guidance for grant funding.

In addition to national data, EnviroAtlas also provides very fine-scale data for selected communities, the option to view your own local data, and built-in tools that can help communities tell their stories: Learn more about EnviroAtlas resources for Brownfields. Use the EnviroAtlas Help to learn how to use available features, including adding your own data and using the Compare My Area tool, which generates reports with demographic variables and various health risks, allowing for comparing your area of interest to the surrounding county and state.

Here are some suggestions for how you might use the data in this collection:

Overlay demographic data on top of the Estimated Floodplains layer to determine what populations may be vulnerable to flooding. Add Dasymetric Population to more finely see where people live in the area of interest. Use the National Land Cover Database to identify land cover like developed areas with high impervious surface, which exacerbates urban heat and water runoff issues. Sites Reporting to EPA include the Brownfields Properties with EPA grants, Superfund sites, and more, which, if located in areas that flood, could present additional challenges for spreading contaminated materials. Data layers that present information about low-wage jobs, business vacancy, and residential populations with a low quality of life score, may indicate economically depressed areas and disadvantaged communities. A lack of farmers markets may indicate a lack of fresh food in the community that exacerbates existing health and economic burdens.

Data Layers in this Collection Data layers are grouped into four categories that relate back to grant guidance. View data individually or combine data from different categories. [SP] Sensitive and Disproportionately Impacted PopulationsThese data can help support your story by demonstrating community need. The presence of sensitive populations that are disproportionately impacted or overburdened is important when presenting your community's narrative.[SP] Percent low income workers (workplace location, Census block group) 2017[SP] Percent low income workers (home location, Census block group) 2017 [H] Adverse Health Conditions Connected to community need, these layers provide specific health-related data that can be used in your application and may be particularly useful if these health issues are a concern in your community. Also, the Compare My Area tool allows you to compare some of these health layers in your census tract to your county and state levels to present potential disparity near the brownfield.

[H] CDC Asthma Prevalence (Census tract, non-EnviroAtlas) 2017, 2018

[H] Respiratory risk (hazard index) due to cumulative air toxics (Census tract) NATA 2014 [H] Non-cancer neurological risk (hazard index) due to cumulative air toxics (Census tract) NATA 2014 [H] Cancer risk per million due to cumulative air toxics (Census tract) NATA 2014

[TC] Description of Target Area: Threats of Contamination These data can be used as part of a description of potential or known contamination that may exist in the area of interest.

[TC] EPA Underground Storage Tanks (non-EnviroAtlas) 2018 - 2021

[TC] Permitted Water Dischargers (Major; NPDES) Updated monthly [TC] Permitted Water Dischargers (NPDES) Updated monthly [TC] Air Quality System (AIRS AQS) Updated quarterly [TC] Integrated Compliance Information System-Air (ICIS-Air) Updated monthly [TC] Integrated Compliance Information System - Air Major (ICIS-Air Major) Updated monthly [TC] Toxic Release Inventory (TRI) Updated annually [TC] Superfund Sites (SEMS) Updated monthly [TC] Superfund Sites (NPL) Updated monthly [TC] Hazardous Waste Sites (RCRA; Inactive) Updated monthly [TC] Hazardous Waste Sites (RCRA; Active) Updated monthly [TC] Brownfields Properties (ACRES) Updated monthly [TC] Impaired waters 2015-2016

[CC] Description of Target Area: Community Characteristics These data provide useful characteristics about your community. This may take many forms. The dasymetric population layer will allow you to present where people live in relation to the brownfield and can be paired with floodplain data, land cover, or economic data to better demonstrate community need for a brownfield grant.

[CC] Housing density (units per acre, Census block group) 2014-2018 [CC] Percent Housing Units Built Before 1950 (Census block group) 2014-2018 [CC] Qualified Opportunity Zones (Census tract) 2018 [CC] Residential address vacancy rate for 2014 (Census tract) 2014 [CC] Business address vacancy rate for 2014 (Census tract) 2014 [CC] Percentage of households below the quality of life threshold income (Census block group) 2008-2012 [CC] Number of farmers markets (Census block group) 2016 [CC] FEMA Federally Designated Floodplains (non-EnviroAtlas) 2020 [CC] Estimated Floodplains 2016 [CC] National Land Cover Database (2019) 2019 [CC] Population density (Dasymetric allocation) 2010 [CC] State, County, Census tract, and Census block group boundaries 2010

Directions:

This featured collection is launched in Cleveland, OH. Navigate to any location by moving around in the map or enter your location of interest in the address search bar.

Turn layers on or off using the Layer List on the right of the interactive map. View layers in the legend by selecting the star icon at the top of the Layer List.

Use built-in analysis tools such as Compare my Area for additional information about your community. These tools are accessed from widgets at the top left side of the map.

To add fine-scale community data for any one of the 30 EnviroAtlas communities, use the community selection widget (located in the upper left corner of the map) to select a community and calculate the legend based on the values for that community only. Combined Communities will calculate the legend based on the values for all EnviroAtlas communities. Community data is denoted with a 'C' icon in the EnviroAtlas Data tab.

The map shows the broadband score from census block to state level using Federal Communications Commission (FCC) Form 477 data. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. The map uses blending with the World Population Footprint to highlight areas where people actually live within the community.Vintage of data: June 2021When zoomed in to a local level, the Census populated places layer is enabled. The pop-up for each feature calculates, on the fly, the population weighted broadband score for the area, population served by speed, and breakdown by race/ethnicity. All Arcade calculations are done using block level data. Zoom to your local neighborhood and select an area to begin exploring.Use this application for a simple, immersive view.Additional ResourcesFCC Staff Block EstimatesFCC Speed Values Fixed Broadband Deployment Data from FCC Form 477Digital Divide: Broadband Pricing by State, ZIP Code, and Income Level (BroadbandUSA)Open Internet Measurement (M-Lab)Eligibility Area Map Datasets (USDA)

Life expectancy, healthy life expectancy and disability-free life expectancy – at birth and age 65 by sex for local areas in the UK, 2016 to 2018.

AbstractLocal Government Areas is a spatial representation of the administrative divisions that local governments are responsible for across the country. A Local Government Area (LGA) will typically have an elected council as well as a council leader (e.g. mayor, shire president). Local Government Areas aggregates the representations unique to each jurisdiction into a consistent, seamless representation of the LGA boundaries across Australia.Local Government Areas is designed to meet the needs of organisations that require a geospatial representation of LGA boundaries at both a local and national scale. The attribution provided within Local Government Areas allows for the application of the data across a wide range of commercial, government and research uses. Geoscape Australia welcomes your feedback on our Local Government Areas product. We also publish regular updates on the development of our products on the Geoscape website.CurrencyDate Modified: November 2025Modification Frequency: QuarterlyData ExtentCoordinate Reference:Geocentric Datum of Australia 2020 | GDA2020Spatial ExtentNorth: -8°South: -45°East: 160°West: 112°Source InformationThe data was obtained from data.gov.au, is also accessible through Geoscape Administrative Boundaries - Geoscapeas of August 2025. The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).Lineage StatementLocal Government Areas is created through processing LGA data sourced from Australia’s States and Territories. Source attributes are mapped and standardised to provide a coherent definition across the jurisdiction supplies, with associated geometry being cleaned and processed to output a topologically consistent layer of Australia’s LGA boundaries at a national scale. Additional attributes have been generated and integrated by Geoscape to support the jurisdictional information as well as to provide convenience in the use and representation of the dataset. Local Government Areas is updated and released regularly and has integrated relationships with other Geoscape Products.This product is integrated with the following Geoscape products:LocalitiesWardsAddressing ServiceGeoscape Administrative Boundaries (comprised of Localities, Local Government Areas (LGAs), Wards, ABS Boundaries, Electoral Boundaries, State Boundaries, and Town Points) are created using a range of source data which is highlighted within their Data Copyright and Disclaimer.The Digital Atlas of Australia team have published a Feature Service for Local Government Areas using the Geographic Coordinate System: Geocentric Datum of Australia 2020 (GDA2020). Local Government Areas are aggregated from State and Territory data to cover the National extent of Australia.Data DictionaryAttribute nameDescriptionLGA Polygon (PID)Unique persistent identifier for the LGA polygon.LGA (PID)Persistent identifier for the LGA.Date CreatedDate this record was created.LGA NameThe name of the LGA.LGA Abbreviated NameThe abbreviated LGA name.StateThe abbreviated name of the State or Territory that the LGA spatially resides within.Geometry: Shape Area and LengthThe geometry of the polygon.State - Description TableDomain nameDescriptionNSWThe data is located within the state of New South Wales.NTThe data is located within the Northern Territory.OTThe data is located within the Other Territories classification. Other Territories covers the external Australian territories of Cocos (Keeling) Islands and Christmas Island.QLDThe data is located within the state of Queensland.SAThe data is located within the state of South Australia.TASThe data is located within the state of Tasmania.VICThe data is located within the state of Victoria.WAThe data is located within the state of Western Australia.ContactDepartment of Industry, Science and Resources (DISR),data@industry.gov.auFor technical support contact DigitalAtlas@ga.gov.au

Census 2021 occupation data for people aged 16 years and older and in employment, to a detailed level (4-digit Standard Occupational Classification). Tables include occupation by local authority district and upper tier local authority, full-time or part-time work, disability status, and employees compared with those self-employed.

This dashboard provide insights by month on how people find State of Iowa agency listings on the web via Google Search and Maps, and what they do once they find it to include providing reviews (ratings), accessing agency websites, requesting directions, and making calls.

Analysis of data from the Community Life Survey looking at how 16- to 24-year-olds engage with their local area, compared with adults aged 25 and over. The data covers England only.

My local green and natural spaces are a high enough...

Local Road Network for 31 local authorities. Extracted from MapRoad Asset Management System. The Road Management Office and the Local Authorities provides this information with the understanding that it is not guaranteed to be accurate, correct or complete. The Road Management Office or the Local Authorities accept no liability for any loss or damage suffered by those using this data for any purpose. The road infrastructure is the largest asset managed by local authorities in Ireland. It’s efficient management (both day to day and in the long term) is essential to economic activity as the majority of commuting and haulage occurs using it. The 31 local authorities operate, maintain and improve the network of regional and local roads. .hidden { display: none }

This lookup application web tool will help public users identify their Community Development Corporation (CDC) and the associated service areas the City of Cleveland.InstructionsIn some instances, there are overlapping service areas between competing CDCs. Community development has layered the primary CDC first, and the secondary CDCs beneath it. To view the complete boundary of any CDC, you can click the CDC on the map, and it will highlight the complete boundary.To search a second address, you must click the "clear search location" button or use the "x" in the results area to start a new lookup.Update FrequencyUpdates are made as CDC boundaries are changed.This application uses the following dataset(s):Community Development Corporations (Funded)ContactsFor questions about the CDC's service area and operations, please reach out to your local CDC.For the application: City of Cleveland, Community Development

Measure and Map Access to Grocery StoresFrom the perspective of the people living in each neighborhoodHow do people in your city get to the grocery store? The answer to that question depends on the person and where they live. This web map helps answer the question in this app.Some live in cities and stop by a grocery store within a short walk or bike ride of home or work. Others live in areas where car ownership is more prevalent, and so they drive to a store. Some do not own a vehicle, and rely on a friend or public transit. Others rely on grocery delivery for their needs. And, many live in rural areas far from town, so a trip to a grocery store is an infrequent event involving a long drive.This map from Esri shows which areas are within a ten minute walk or ten minute drive of a grocery store in the United States and Puerto Rico. Darker color indicates access to more stores. The chart shows how many people can walk to a grocery store if they wanted to or needed to.It is estimated that 20% of U.S. population live within a 10 minute walk of a grocery store, and 92% of the population live within a 10 minute drive of a grocery store.Look up your city to see how the numbers change as you move around the map. Or, draw a neighborhood boundary on the map to get numbers for that area.Every census block is scored with a count of walkable and drivable stores nearby, making this a map suitable for a dashboard for any city, or any of the 50 states, DC and Puerto Rico. Two colorful layers visualize this definition of access, one for walkable access (suitable for looking at a city neighborhood by neighborhood) and one for drivable access (suitable for looking across a city, county, region or state).On the walkable layer, shades of green define areas within a ten minute walk of one or more grocery stores. The colors become more intense and trend to a blue-green color for the busiest neighborhoods, such as downtown San Francisco. As you zoom in, a layer of Census block points visualizes the local population with or without walkable access.As you zoom out to see the entire city, the map adds a light blue - to dark blue layer, showing which parts of the region fall within ten minutes' drive of one or more grocery stores. As a result, the map is useful at all scales, from national to regional, state and local levels. It becomes easier to spot grocery stores that sit within a highly populated area, and grocery stores that sit in a shopping center far away from populated areas. This view of a city begins to hint at the question: how many people have each type of access to grocery stores? And, what if they are unable to walk a mile regularly, or don't own a car?How to Use This MapUse this map to introduce the concepts of access to grocery stores in your city or town. This is the kind of map where people will want to look up their home or work address to validate what the map is saying.The map was built with that use in mind. Many maps of access use straight-line, as-the-crow-flies distance, which ignores real-world barriers to walkability like rivers, lakes, interstates and other characteristics of the built environment. Block analysis using a network data set and Origin-Destination analysis factors these barriers in, resulting in a more realistic depiction of access.There is data behind the map, which can be summarized to show how many people have walkable access to local grocery stores. The map includes a feature layer of population in Census block points, which are visible when you zoom in far enough. This feature layer can be plugged into an app like this one that summarizes the population with/without walkable or drivable access.Lastly, this map can serve as backdrop to other community resources, like food banks, farmers markets (example), and transit (example). Add a transit layer to immediately gauge its impact on the population's grocery access. You can also use this map to see how it relates to communities of concern. Add a layer of any block group or tract demographics, such as Percent Senior Population (examples), or Percent of Households with Access to 0 Vehicles (examples).The map is a useful visual and analytic resource for helping community leaders, business and government leaders see their town from the perspective of its residents, and begin asking questions about how their community could be improved.Data sourcesPopulation data is from the 2010 U.S. Census blocks. Each census block has a count of stores within a 10 minute walk, and a count of stores within a ten minute drive. Census blocks known to be unpopulated are given a score of 0. The layer is available as a hosted feature layer.Grocery store locations are from SafeGraph, reflecting what was in the data as of October 2020. Access to the layer was obtained from the SafeGraph offering in ArcGIS Marketplace. For this project, ArcGIS StreetMap Premium was used for the street network in the origin-destination analysis work, because it already has the necessary attributes on each street segment to identify which streets are considered walkable, and supports a wide variety of driving parameters.The walkable access layer and drivable access layers are rasters, whose colors were chosen to allow the drivable access layer to serve as backdrop to the walkable access layer. Alternative versions of these layers are available. These pairs use different colors but are otherwise identical in content.Data PreparationArcGIS Network Analyst was used to set up a network street layer for analysis. ArcGIS StreetMap Premium was installed to a local hard drive and selected in the Origin-Destination workflow as the network data source. This allows the origins (Census block centroids) and destinations (SafeGraph grocery stores) to be connected to that network, to allow origin-destination analysis.The Census blocks layer contains the centroid of each Census block. The data allows a simple popup to be created. This layer's block figures can be summarized further, to tract, county and state levels.The SafeGraph grocery store locations were created by querying the SafeGraph source layer based on primary NAICS code. After connecting to the layer in ArcGIS Pro, a definition query was set to only show records with NAICS code 445110 as an initial screening. The layer was exported to a local disk drive for further definition query refinement, to eliminate any records that were obviously not grocery stores. The final layer used in the analysis had approximately 53,600 records. In this map, this layer is included as a vector tile layer.MethodologyEvery census block in the U.S. was assigned two access scores, whose numbers are simply how many grocery stores are within a 10 minute walk and a 10 minute drive of that census block. Every census block has a score of 0 (no stores), 1, 2 or more stores. The count of accessible stores was determined using Origin-Destination Analysis in ArcGIS Network Analyst, in ArcGIS Pro. A set of Tools in this ArcGIS Pro package allow a similar analysis to be conducted for any city or other area. The Tools step through the data prep and analysis steps. Download the Pro package, open it and substitute your own layers for Origins and Destinations. Parcel centroids are a suggested option for Origins, for example. Origin-Destination analysis was configured, using ArcGIS StreetMap Premium as the network data source. Census block centroids with population greater than zero were used as the Origins, and grocery store locations were used as the Destinations. A cutoff of 10 minutes was used with the Walk Time option. Only one restriction was applied to the street network: Walkable, which means Interstates and other non-walkable street segments were treated appropriately. You see the results in the map: wherever freeway overpasses and underpasses are present near a grocery store, the walkable area extends across/through that pass, but not along the freeway.A cutoff of 10 minutes was used with the Drive Time option. The default restrictions were applied to the street network, which means a typical vehicle's access to all types of roads was factored in.The results for each analysis were captured in the Lines layer, which shows which origins are within the cutoff of each destination over the street network, given the assumptions about that network (walking, or driving a vehicle).The Lines layer was then summarized by census block ID to capture the Maximum value of the Destination_Rank field. A census block within 10 minutes of 3 stores would have 3 records in the Lines layer, but only one value in the summarized table, with a MAX_Destination_Rank field value of 3. This is the number of stores accessible to that census block in the 10 minutes measured, for walking and driving. These data were joined to the block centroids layer and given unique names. At this point, all blocks with zero population or null values in the MAX_Destination_Rank fields were given a store count of 0, to help the next step.Walkable and Drivable areas are calculated into a raster layer, using Nearest Neighbor geoprocessing tool on the count of stores within a 10 minute walk, and a count of stores within a ten minute drive, respectively. This tool uses a 200 meter grid and interpolates the values between each census block. A census tracts layer containing all water polygons "erased" from the census tract boundaries was used as an environment setting, to help constrain interpolation into/across bodies of water. The same layer use used to "shoreline" the Nearest Neighbor results, to eliminate any interpolation into the ocean or Great Lakes. This helped but was not perfect.Notes and LimitationsThe map provides a baseline for discussing access to grocery stores in a city. It does not presume local population has the desire or means to walk or drive to obtain groceries. It does not take elevation gain or loss into account. It does not factor time of day nor weather, seasons, or other variables that affect a