The Farm to School Census measures USDA's progress toward improving access to local foods in schools. The web-based interface allows users to run customized searches using data from the Farm to School Census. From a total of 18,104 public, private, and charter school districts in the target list frame, 12,585 schools and school districts completed usable responses for a response rate of 70%. Visualizations display national and state level data, and explanatory notes for each portion of the survey questionnaire are provided. Users can focus their search by location/state/school district/zip code, participation level, local food purchased category (fruit, vegetables, fluid milk, other dairy, meat/poultry, eggs, seafood, plant-based protein, grains/flour, baked goods, herbs), and sources (purchased directly or through intermediary). Resources in this dataset:Resource Title: Census Data Explorer | USDA-FNS Farm to School Census. File Name: Web Page, url: https://farmtoschoolcensus.fns.usda.gov/census-results/census-data-explorer This searchable database allows users to run customized searches using data from the Farm to School Census.

In support of 2020 CQR, the California DoF, DRU has produced a tool to increase participation by empowering jurisdictions that may lack the time, technology, or staff to research potential cases and provide pre-generated cases and materials.

Travel Zones (TZs) are the spatial unit of geography defined by Transport Performance and Analytics (TPA), a business unit within Transport for NSW (TfNSW). The TZ spatial layer is applied to data sources used by TfNSW for transport modelling and analysis, including the Household Travel Survey and the Census 2016 Journey to Work data.

The Australian Bureau of Statistics (ABS) Statistical Area boundaries form the foundation of the TZ. Generally, a TZ is larger than a Statistical Area Level 1 or Mesh Block, both ABS geography definitions. The ABS Statistical Areas are based on population counts whereas TZ boundaries are defined using population, employment, housing and transport infrastructure.

TZs are designed to have standardised trip generation levels across all zones. This causes zones to be different sizes across the metropolitan area. As with many other spatial boundaries, TZs tend to be small in areas with high land-use densities and larger in areas of lower density.

This dataset now includes a CSV file mapping the Transit Stop Number (TSN) to the Travel Zone (TZ16). It captures the stop name, suburb and coordinates.

Travel Zone Explorer is an interactive map where you can search for Travel Zones (TZ) and find out the current and future population in occupied private dwellings by age and sex.

An app to assist in the evaluation of Group Quarters capture in the 2020 Census. In support of the 2020 Post-Census Group Quarters Review, this app empowers local entities to visualize GQ locations and types within their jurisdiction. Comparison is made available to California Department of Finance, Demographic Research Unit surveyed values where possible, to highlight areas of known miscount.

For the original data source: https://data.census.gov/cedsci/table?tid=ACSDP5Y2020.DP02. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore disability status and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Disability status for census tracts in LA County from the US Census American Communities Survey (ACS), 2020. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov

For source data: https://data.census.gov/table/ACSDP5Y2023.DP02 - field DP02_0068PEFor more information about this dataset, please contact egis@isd.lacounty.gov

For source data: https://data.census.gov/table?tid=ACSDT5Y2021.B19056For more information about this dataset, please contact egis@isd.lacounty.gov

Abstract copyright UK Data Service and data collection copyright owner.

The aggregate data produced as outputs from censuses in Great Britain provide information on a wide range of demographic and socio-economic characteristics. They are predominantly a collection of aggregated or summary counts of the numbers of people or households resident in specific geographical areas possessing particular characteristics.

Data can be accessed through Data Explorer (to subset data) and CKAN (to bulk download data).

Citation: Registrar General for England and Wales; General Register Office Scotland (2002): 1971 Census aggregate data (Edition: 2002). UK Data Service. DOI: https://doi.org/10.5257/census/aggregate-1971-1

Main Topics:

The 100% Sample files contain information about: total population, private households and communal establishments, immigrants, country of birth, economic activity, numbers of children, parental origin, visitors present, car availability, housing occupation density, household tenure, household amenities, household types and related topics.

The 10% Sample files contain information about: socio-economic composition, migrants, working women, dependent children, travel to work, and related topics.

Census 1880 is a data layer within the U.S. Decennial Census category of the Social Explorer application. To find each layer, log in to Social Explorer, select a category, and browse to the desired layer.

For the original data source: https://data.census.gov/table/ACSDP5Y2023.DP02. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore foreign born population and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Foreign born population for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov.

For source data: https://data.census.gov/cedsci/table?tid=ACSDP5Y2020.DP03. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore Income and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Income per capita for census tracts in LA County from the US Census American Communities Survey (ACS), 2020. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov

For the original data source: https://data.census.gov/table/ACSST5Y2023.S2701. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore health insurance status and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Health insurance status for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov.

Created for CEO-ARDI and DCBA in response to a Board of Supervisors motion on workers' rights to develop a targeted outreach plan for "high need"/impacted communities.Data (mostly) from US Census ACS 5-year estimates 2021. See the Equity Explorer layer descriptions for detailed source information: https://experience.arcgis.com/experience/9d7a43397ea84ab98a534be5b5376fba/page/Layer-Details/ Data featured on the Workers' Rights Income and Employment Index Dashboard.For questions or more information please contact egis@isd.lacounty.gov.

For source data: https://data.census.gov/table/ACSDP5Y2021.DP02 - field DP03_0005PEFor more information about this dataset, please contact egis@isd.lacounty.gov

This table of Income profile information for dissemination area was downloaded from the Statistics Canada website and joined with bndDisseminationArea2021 in DEM. It contains the information gathered during the 2021Census with respect to the population within a dissemination area and the population breakdown of income and earnings by family, individuals, people in economic families, and the prevalence of low income and household income. This data covers the dissemination area in York Region only.Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.Please exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.For more information regarding this data, please refer to the reference document here: https://www12.statcan.gc.ca/census-recensement/2021/ref/98-500/004/98-500-x2021004-eng.cfm

This table of Labour profile information for Dissemination Areawas downloaded from the Statistics Canada Website and joined with bndCensusDisseminationArea2021in DEM. It contains the information gathered during the 2021Census with respect to the population within the Dissemination Areaand the breakdown of the labour force by: industry of employment; class of worker; participation; occupation and place of work . This data covers the Dissemination Areain York Region only.Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.For more information on the 2021Census, please go to the Statistics Canada website at :https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/details/download-telecharger.cfm?Lang=E&SearchText=York&DGUIDlist=2021A00033519&GENDERlist=1,2,3&STATISTIClist=1&HEADERlist=0Please exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.

For the original data source: https://data.census.gov/table/ACSDP5Y2023.DP02. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore educational attainment and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. High School Graduate or Higher rates for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov.

This table of language of work profile information was extracted from the Statistics Canada website. It contains the information gathered during the 2021Census with respect to the population within a Dissemination Area and the breakdown of this population by language most commonly spoken at work. This data covers the Dissemination Area in York Region only.Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.For more information on 2021Census information: https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/details/download-telecharger.cfm?Lang=E&SearchText=York&DGUIDlist=2021A00033519&GENDERlist=1,2,3&STATISTIClist=1&HEADERlist=0Please exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.

This table contains the information gathered during the 2021Census with respect to the population breakdown by education within the Dissemination Area. This data covers the Dissemination Area in York Region only. Statistics Canada has suppressed the profiles for certain areas due to very low population count. Suppressed areas will appear as NULL values in the attribute table.For more information on the 2021Census, please go to the Statistics Canada website at :https://www12.statcan.gc.ca/census-recensement/index-eng.cfmPlease exercise caution if using dissemination areas to roll up (aggregate) to other levels of census geographies, due to greater suppression applied by Statistics Canada at dissemination area. Interested in viewing and interacting with this data even more? Visit the York Region Census Explorer Dashboard to gain high level insights from this data at the municipal and regional level for York Region.

This layer shows tenure (owner or renter) by race of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized by the overall homeownership rate. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B25003, B25003B, B25003C, B25003D, B25003E, B25003F, B25003G, B25003H, B25003IData downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.