Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).Business Analyst (BA) Web infographics are a powerful way to understand demographics and other information in context. This blog article explains how your organization can use the Coronavirus infographic template that was added to the infographics gallery on March 1, 2020._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Community Analyst Layer: Professional, Scientific & Technical Service

Community Analyst Layer: Schools

Analysis of ‘Boundaries - Community Areas (current)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1288cc05-d517-45ab-a261-b73b928ff866 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

Current community area boundaries in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘3.17 Community Services Programs (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7d0b904f-e944-469c-b647-2d2ba1ade6cb on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset comes from the Annual Community Survey questions about satisfaction with Community Service Programs. The Community Survey question relating to the Community Services Programs performance measure: "Please rate your level of satisfaction with each of the following: a) Quality of Before & After School (Kid Zone) programs; b) Quality of City library programs & services; c) Quality of City recreation programs & services; d) Quality of Tempe Center for the Arts programs." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).

The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.

This page provides data for the Community Services Programs performance measure.

The performance measure dashboard is available at 3.17 Community Services Programs.

Additional Information

Source: Community Attitude Survey (Vendor: ETC Institute)

Contact: Wydale Holmes

Contact E-Mail: wydale_holmes@tempe.gov

Data Source Type: Excel and PDF Report

Preparation Method: Extracted from Annual Community Survey results

Publish Frequency: Annual

Publish Method: Manual

Data Dictionary

--- Original source retains full ownership of the source dataset ---

Community Analyst Layer: Retail

Average Household Amount Spent on Food, as forcasted for 2021

Community Analyst Report Template. This infographic contains data provided by Esri (2023), ACS (2017-2021), U.S. Census (2020).

Los Angeles Index of Displacement PressureThe Los Angeles Index of Displacement Pressure combines measures that past research efforts and our own original research have shown correlate with future change and displacement pressure. Created in 2015/2016, the index primarily uses data from 2012-2015.These seven measures are applied at the Census Tract level for tracts where >=40% of households earn less than the City's median income. The measures are grouped into two classes: change factors and displacement pressure factors.Change factor measures are those that suggest future revitalization is likely due to investment, projected housing price gains, and proximity to recently changed areas. On the other hand, displacement pressure factors capture areas with a high concentration of existing residents who may have difficulty absorbing massive rent increases that often accompany revitalization. The Los Angeles Index of Displacement Pressure captures the intersection between these two classes.Change Measures Transportation InvestmentMeasure 1: Distance to current rail stations (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure). Source: LA MetroMeasure 2: Distance to rail stations under construction/recently opened in 2016 (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure)Source: LA Metro Proximity to Rapidly Changing NeighborhoodsMeasure 3: Distance to the closest "top tier" changing neighborhood, as defined by the Los Angeles Index of Neighborhood Change (within a 1 mile radius. Tracts beyond 1 mile receive no score for this measure)Source: The Los Angeles Index of Neighborhood Change Housing MarketMeasure 4: Change in housing price projections from 2015 to 2020 Source: ESRI Community Analyst Displacement Pressure FactorsMeasure 5: Percent of households that rentSource: American Community Survey, Five-Year Estimate, 2014Measure 6: Percent of households that are extremely rent burdened (pay >=50% of household income on rent)Source: American Community Survey, Five-Year Estimate, 2014Measure 7: The number of affordable properties and housing units that are due to expire by 2023.Source: The Los Angeles Housing Element, 2012Date updated: April 7, 2018Refresh rate: Never - Historical data

Community Analyst Layer: Sports & Entertainment

Community Analyst Report Template. This infographic contains data provided by Esri (2023, 2028), ACS (2017-2021), Esri-Data Axle (2023).

Community Analyst Attachments Table

Become an ArcGIS Hub Specialist.ArcGIS Hub is a cloud-based engagement platform that helps organizations work more effectively with their communities. Learn how to use ArcGIS Hub capabilities and related technology to coordinate and engage with external agencies, community partners, volunteers, and citizens to tackle the projects that matter most in your community._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Analysis of ‘4.18 Community Carbon Neutrality (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a8dcd115-0509-4092-babb-b624823f644e on 11 February 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

Analysis of ‘3.20 Dementia-friendly Community Designation (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/797fe7ce-6830-4239-9665-0809a6c4272d on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset comes from the Annual Community Survey questions about satisfaction with Dementia Friendly Community. The Community Survey question relating to the Dementia Friendly Community Designation performance measure: "Please rate your level of satisfaction with: Services for those living with Dementia, their care partners, and their families Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).

The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.

This page provides data for the Dementia Friendly Community performance measure.

The performance measure dashboard is available at 3.20 Dementia-friendly Community Designation.

Additional Information

Source: Community Attitude Survey (Vendor: ETC Institute)

Contact: Wydale Holmes

Contact E-Mail: wydale_holmes@tempe.gov

Data Source Type: Excel and PDF Report

Preparation Method: Extracted from Annual Community Survey results

Publish Frequency: Annual

Publish Method: Manual

Data Dictionary

--- Original source retains full ownership of the source dataset ---

This dataset displays the aviation related businesses within Washington State. Industry sectors were selected that include businesses with a high propensity to rely on aviation services as part of their typical business activities. These activities include scheduled commercial service, general aviation, and air cargo. Industry types were identified by North American Industry Classification System (NAICS) code based on the findings of numerous economic impact studies conducted for state departments of transportation and individual airports across the U.S. and in close consultation with WSDOT Aviation. Information was collected from ESRI’s Community Analyst application in September 2019. This data is provided to the public as courtesy for general aviation planning purposes. The information provided should not be relied upon for navigational, engineering, legal or other site-specific uses. It may not show an airport's current capabilities or configuration. Inaccuracies in the layer may be attributed to: spatial errors in data, airport construction, or recent changes in airport capabilities. If you have any questions about the information presented here, please contact John MacArthur, john.macarthur@wsdot.wa.gov.

The Business Breakdown Dataset shows the number of businesses and employees from a wide variety of unique industries throughout Mesa. This data is pulled annually (usually in the summer) from the ESRI Community Analyst database.

Community Analyst Layer: Public Administration

LANDFIRE's (LF) 2020 update (LF 2020) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) https://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), and the Microsoft Building Footprint dataset, whereas agricultural lands originate from the Cropland Data Layer (CDL) and the California Statewide Crop Mapping layer. Burnable developed classes are identified from building footprint dataset thresholds. LF 2020 retains circa 2016 EVT labels except where shifts in urban, recently disturbed, agriculture, and developed ruderal classes occurred for 2020. EVT is no longer synchronized in ST-SIM outputs for disturbed areas in LF 2020. LF uses EVT as an input for LF 2020 Fuel Vegetation Type (FVT).These data have been made publicly available from an authoritative source other than this Atlas and data should be obtained directly from that source for any re-use. See the original metadata from the authoritative source for more information about these data and use limitations. The authoritative source of these data can be found at the following location: LANDFIRE Program: Data Product Mosaic DownloadsBoundary Source: LANDFIRE 2020 Existing Vegetation Type (EVT) CONUS

Community Analyst Report Template