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.

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

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

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.

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.

The dataset shows the number of Population by Sex, Local Authority Area and State, Malaysia, 2010

More info: https://www.statistics.gov.my

Generalised Zoning Types. Published by Marine Institute. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Generalised Zoning Types developed for the MyPlan project. This represents a consistent zoning scheme across all local authorities, and complements (rather than replaces) the existing statutory zoning used for each individual plan. MyPlan is a a free and easy to use public information system about the development plan or local area plan in your local area. GZTZ data layers include Current Development Plans, Current Local Area Plans, Other Current Plans and Expired Plans....

My local green and natural spaces are a high enough standard to want to spend time in

Local, state, tribal, and federal agencies use disability data to plan and fund programs for people with disabilities. Disability data helps communities enroll eligible households in programs designed to assist them such as health care programs and affordable housing programs. Disability data also helps local jurisdictions provide services that:Enable older adults to remain living safely in their homes and communities (Older Americans Act).Provide services and assistance to people with a disability, such as financial assistance with utilities (Low Income Home Energy Assistance Program)Disability data helps communities qualify for grants such as the Community Development Block Grant (CDBG) Program, the HOME Investment Partnership Program, the Emergency Solutions Grants (ESG) Program, the Housing Opportunities for Persons with AIDS (HOPWA) Program, and other local and federal programs.Disability data are also used to evaluate other government programs and policies to ensure that they fairly and equitably serve the needs of all groups, as well as enforce laws, regulations, and policies against discrimination.This map shows the count and prevalence of people with a disability. This includes people with a hearing difficulty, a vision difficulty, an ambulatory difficulty, a cognitive difficulty, a self-care difficulty, and an independent-living difficulty. The features in web map are symbolized using color and size to depict total population with a disability count (size of symbol) and prevalence (color of symbol). Web map is multi-scaled, and opens displaying data for counties and tracts. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

This map compares homeownership rates between households with a non-Hispanic White householder and households with a Black or African American householder. This map shows us where there is a disparity in home ownership based on race/ethnicity. The pattern is shown at the state, county, and tract levels. Zoom or pan around the map to explore the map. You can also search for your city and explore the pattern in your local area. If you zoom out, you can see the nationwide pattern. The data comes from the most current release of American Community Survey (ACS) estimates from the U.S. Census Bureau. The layer being used in this map can be found here, and also within ArcGIS Living Atlas of the World. Click here to find more ACS layers within Living Atlas. Note: areas where there are no Black or White householders, no symbol is shown. This map compares areas where there are both White and Black householders.

RNA65 - My local green and natural spaces are good places for children to play. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).My local green and natural spaces are good places for children to play...

Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.

The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

Using these data, the COVID-19 community level was classified as low, medium, or high.

COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

Archived Data Notes:

This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022.

March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released.

March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.

March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).

March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

April 21, 2022: COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials to verify the data submitted, as other data systems are not providing alerts for substantial increases in disease transmission or severity in the state.

May 26, 2022: COVID-19 Community Level (CCL) data released for McCracken County, KY for the week of May 5, 2022 have been updated to correct a data processing error. McCracken County, KY should have appeared in the low community level category during the week of May 5, 2022. This correction is reflected in this update.

May 26, 2022: COVID-19 Community Level (CCL) data released for several Florida counties for the week of May 19th, 2022, have been corrected for a data processing error. Of note, Broward, Miami-Dade, Palm Beach Counties should have appeared in the high CCL category, and Osceola County should have appeared in the medium CCL category. These corrections are reflected in this update.

May 26, 2022: COVID-19 Community Level (CCL) data released for Orange County, New York for the week of May 26, 2022 displayed an erroneous case rate of zero and a CCL category of low due to a data source error. This county should have appeared in the medium CCL category.

June 2, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a data processing error. Tolland County, CT should have appeared in the medium community level category during the week of May 26, 2022. This correction is reflected in this update.

June 9, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a misspelling. The medium community level category for Tolland County, CT on the week of May 26, 2022 was misspelled as “meduim” in the data set. This correction is reflected in this update.

June 9, 2022: COVID-19 Community Level (CCL) data released for Mississippi counties for the week of June 9, 2022 should be interpreted with caution due to a reporting cadence change over the Memorial Day holiday that resulted in artificially inflated case rates in the state.

July 7, 2022: COVID-19 Community Level (CCL) data released for Rock County, Minnesota for the week of July 7, 2022 displayed an artificially low case rate and CCL category due to a data source error. This county should have appeared in the high CCL category.

July 14, 2022: COVID-19 Community Level (CCL) data released for Massachusetts counties for the week of July 14, 2022 should be interpreted with caution due to a reporting cadence change that resulted in lower than expected case rates and CCL categories in the state.

July 28, 2022: COVID-19 Community Level (CCL) data released for all Montana counties for the week of July 21, 2022 had case rates of 0 due to a reporting issue. The case rates have been corrected in this update.

July 28, 2022: COVID-19 Community Level (CCL) data released for Alaska for all weeks prior to July 21, 2022 included non-resident cases. The case rates for the time series have been corrected in this update.

July 28, 2022: A laboratory in Nevada reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate will be inflated in Clark County, NV for the week of July 28, 2022.

August 4, 2022: COVID-19 Community Level (CCL) data was updated on August 2, 2022 in error during performance testing. Data for the week of July 28, 2022 was changed during this update due to additional case and hospital data as a result of late reporting between July 28, 2022 and August 2, 2022. Since the purpose of this data set is to provide point-in-time views of COVID-19 Community Levels on Thursdays, any changes made to the data set during the August 2, 2022 update have been reverted in this update.

August 4, 2022: COVID-19 Community Level (CCL) data for the week of July 28, 2022 for 8 counties in Utah (Beaver County, Daggett County, Duchesne County, Garfield County, Iron County, Kane County, Uintah County, and Washington County) case data was missing due to data collection issues. CDC and its partners have resolved the issue and the correction is reflected in this update.

August 4, 2022: Due to a reporting cadence change, case rates for all Alabama counties will be lower than expected. As a result, the CCL levels published on August 4, 2022 should be interpreted with caution.

August 11, 2022: COVID-19 Community Level (CCL) data for the week of August 4, 2022 for South Carolina have been updated to correct a data collection error that resulted in incorrect case data. CDC and its partners have resolved the issue and the correction is reflected in this update.

August 18, 2022: COVID-19 Community Level (CCL) data for the week of August 11, 2022 for Connecticut have been updated to correct a data ingestion error that inflated the CT case rates. CDC, in collaboration with CT, has resolved the issue and the correction is reflected in this update.

August 25, 2022: A laboratory in Tennessee reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate may be inflated in many counties and the CCLs published on August 25, 2022 should be interpreted with caution.

August 25, 2022: Due to a data source error, the 7-day case rate for St. Louis County, Missouri, is reported as zero in the COVID-19 Community Level data released on August 25, 2022. Therefore, the COVID-19 Community Level for this county should be interpreted with caution.

September 1, 2022: Due to a reporting issue, case rates for all Nebraska counties will include 6 days of data instead of 7 days in the COVID-19 Community Level (CCL) data released on September 1, 2022. Therefore, the CCLs for all Nebraska counties should be interpreted with caution.

September 8, 2022: Due to a data processing error, the case rate for Philadelphia County, Pennsylvania,

This layer is derived from New Zealand Pigmyweed Crassula helmsii species occurrence data accessed from the NBN Atlas API (https://api.nbnatlas.org/) on 29/04/2024. Record locations are indicated by polygons, the size of the polygon relating to the ‘Coordinate uncertainty in meters’ for each record. The data has also been spatially joined to the CaBA catchment boundaries to allow the data to be easily filtered to local catchment boundaries. All data providers are acknowledged in the pop up for each occurrence polygon. A full list of data providers can also be accessed here: https://species.nbnatlas.org/species/NBNSYS0000004639#data-partners A full list of records for this species can be found here on the NBN Atlas: https://species.nbnatlas.org/species/NBNSYS0000004639#recordsAll CC-BY-NC licenced records have been removed from this dataset as these records cannot be used for commercial purposes without prior agreement of the data provider. There may be a significant number of additional records for this species in your area which are covered by a CC-BY-NC licence. To enquire whether it is possible to access these additional records for your area, please get in touch with your local record centre or the NBN Atlas. The boundaries and contact details of local record centres can be viewed on this AGOL layer: https://arcg.is/8vOLKRecords without latitude and longitude coordinates and those records lacking coordinate uncertainty have been removed from this dataset.NBN Atlas Disclaimer:The NBN Atlas website, linked websites and Content are intended to provide information for general and scientific use, to assist research and public knowledge, discussion and policy development.The NBN Atlas makes the NBN Atlas website and content available on the understanding that you use them at your own risk – they are provided ‘as is’ and ‘as available’ and you exercise your own skill, judgement and care with respect to their use or your reliance on them.The NBN Atlas and Data Partners give no warranty regarding the quality, accuracy, completeness, currency, relevance or suitability for any particular purpose of the Content or the Atlas website.To the fullest extent permitted by applicable law, the NBN Atlas (including its employees and contractors), the National Biodiversity Network Trust and Data Partner exclude all liability to any person for any consequences, including but not limited to all losses, damages (including indirect, special or consequential damages, loss of business, revenue/profit, loss of time etc.), costs, expenses and any other compensation, arising directly or indirectly from your use of the Atlas website or Content or inability to access the Atlas website.If you find any inaccurate, out of date or incomplete Content on the NBN Atlas website, or if you suspect that something is an infringement of intellectual property rights, you must let us know immediately by contacting support@nbnatlas.org or the Data Partner of the Content.

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.

The data provided comes from the Local Government Association of South Australia’s statewide Metabase which is part of its Electronic Services Program initiative. For more information on the Electronic Services Program. This data is used to support the Local Government Association's My Local Services App http://www.lga.sa.gov.au/mylocal initiative. API for the following statewide Local Government datasets: Elected Members (Mayors and Councillors), Events, Libraries, Parks and Councils. The following SDK’s are available for developers to access data stored in Parse: iOS, OSX, Android, JavaScript, .Net, REST API.

This file contains the names and codes for local authority districts (LAD) and unitary authorities (UA) in the United Kingdom as at 31st December 2021. (File Size - 48KB)Field Names - LAD21CD, LAD21NM, LAD21NMW, FIDField Types - Text, Text, Text, NumberField Lengths - 9, 36, 24FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. File includes the following LAD changes. E06000061 - North Northamptonshire, E06000062 , West Northamptonshire - new unitary authorities created - (Northamptonshire county abolished)E07000150 - Corby, E07000151 - Daventry, E07000152 - East Northamptonshire, E07000153 - Kettering, E07000154 - Northampton, E07000155 - South Northamptonshire, E07000156 - Wellingborough abolished

RNA58 - My local green and natural spaces are within walking distance. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).My local green and natural spaces are within walking distance...