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...

Population counts by block groups for 2010 (US Census), 2014 (ESRI), 1019 (ESRI) and projected growth rate 2014-1019 (ESRI)

Community Analyst Notes Table

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 ---

Average Household Amount Spent on Food, as forcasted for 2021

Community Analyst Locations Layer

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: Public Administration

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...

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

Per California Water Code Section 10609.80 (a), DWR has released an update to the indicators analyzed for the rural communities water shortage vulnerability analysis and a new interactive tool to explore the data. This page remains to archive the original dataset, but for more current information, please see the following pages: - https://water.ca.gov/Programs/Water-Use-And-Efficiency/SB-552/SB-552-Tool - https://data.cnra.ca.gov/dataset/water-shortage-vulnerability-technical-methods - https://data.cnra.ca.gov/dataset/i07-water-shortage-vulnerability-sections - https://data.cnra.ca.gov/dataset/i07-water-shortage-social-vulnerability-blockgroup This dataset is made publicly available pursuant to California Water Code Section 10609.42 which directs the California Department of Water Resources to identify small water suppliers and rural communities that may be at risk of drought and water shortage vulnerability and propose to the Governor and Legislature recommendations and information in support of improving the drought preparedness of small water suppliers and rural communities. As of March 2021, two datasets are offered here for download. The background information, results synthesis, methods and all reports submitted to the legislature are available here: https://water.ca.gov/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/County-Drought-Planning Two online interactive dashboards are available here to explore the datasets and findings. https://dwr.maps.arcgis.com/apps/MapSeries/index.html?appid=3353b370f7844f468ca16b8316fa3c7b The following datasets are offered here for download and for those who want to explore the data in tabular format. (1) Small Water Suppliers: In total, 2,419 small water suppliers were examined for their relative risk of drought and water shortage. Of these, 2,244 are community water systems. The remaining 175 systems analyzed are small non-community non-transient water systems that serve schools for which there is available spatial information. This dataset contains the final risk score and individual risk factors for each supplier examined. Spatial boundaries of water suppliers' service areas were used to calculate the extent and severity of each suppliers' exposure to projected climate changes (temperature, wildfire, and sea level rise) and to current environmental conditions and events. The boundaries used to represent service areas are available for download from the California Drinking Water System Area Boundaries, located on the California State Geoportal, which is available online for download at https://gispublic.waterboards.ca.gov/portal/home/item.html?id=fbba842bf134497c9d611ad506ec48cc (2) Rural Communities: In total 4,987 communities, represented by US Census Block Groups, were analyzed for their relative risk of drought and water shortage. Communities with a record of one or more domestic well installed within the past 50 years are included in the analysis. Each community examined received a numeric risk score, which is derived from a set of indicators developed from a stakeholder process. Indicators used to estimate risk represented three key components: (1) the exposure of suppliers and communities to hazardous conditions and events, (2) the physical and social vulnerability of communities to the exposure, and (3) recent history of shortage and drought impacts. The unit of analysis for the rural communities, also referred to as "self-supplied communities" is U.S. Census Block Groups (ACS 2012-2016 Tiger Shapefile). The Census Block Groups do not necessarily represent socially-defined communities, but they do cover areas where population resides. Using this spatial unit for this analysis allows us to access demographic information that is otherwise not available in small geographic units.

This layer (hosted feature layer) depicts the community improvement district in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division.For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114

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 Access to Parks indicator measures the number of residential parcels in the Champaign-Urbana-Savoy urbanized area that are within one half mile and within one quarter mile of a public park or other public open space. The half mile and quarter mile are used here as representations of reasonable walking distance to an amenity, with a half mile generally representing a 10 minute walk, and a quarter mile representing a 5 minute walk.

Public parks, public golf courses, forest preserves, and public/private recreational facilities (i.e. privately owned recreational land available for public use) were counted toward this indicator. Private golf courses and country clubs were not counted toward this indicator.

The access analysis was performed using linear distance, rather than distance along a street network, so access in some areas may be limited by characteristics of the street network (e.g., form, lack or condition of sidewalks) or major barriers (e.g., highways and other wide roads that are difficult or dangerous to cross).

Taking into account the limitations of our methodology, as of the analysis performed in June 2022, Champaign-Urbana-Savoy residents as a whole have very good access to parks and open space: over 74 percent of the Champaign-Urbana-Savoy residential area is within one quarter mile of a park or open space, and almost 97 percent of the Champaign-Urbana-Savoy residential area is within one half mile of a park or open space.

Parks and open space are valuable amenities that have recreational, environmental, and public health benefits. The ability of residents to visit parks and access these benefits without a car is a measure of both equity and quality of life.

The percentage analysis was performed in GIS using map layers from the Champaign County Regional Planning Commission (CCRPC) and Champaign County GIS Consortium (CCGISC). The analysis is done on an annual basis, to account for any changes in both parks and residential areas.

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 ‘2.15 Feeling Invited to Participate (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8f236200-9d1e-4f14-afa6-4b44614e472e on 11 February 2022.

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

This dataset comes from the Annual Community Survey question "Please rate your level of satisfaction with each of the following: a) Your ability to participate in City decision-making processes." 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" (without "don't know" as an option). This question relates to the Feeling Invited to Participate in City Decisions performance measure:

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 Feeling Invited to Participate in City Decisions performance measure.

The performance measure dashboard is available at 2.15 Feeling Invited to Participate.

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

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

Community Analyst Layer: Schools

Analysis of ‘2.02 Customer Service (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/89e14231-72a4-482e-b1f3-3b3fd4115bc0 on 11 February 2022.

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

This dataset provides Customer Service Satisfaction results from the Annual Community Survey. The survey questions assess satisfaction with overall customer service for inpiduals who had contacted the city in the past year.

For years where there are multiple questions related to overall customer service and treatment, the average of those responses are provided in this dataset. Responses for each question are shown in the detailed dataset.

For years 2010-2014, respondents were first asked "Have you contacted the city in the past year?". If they answered that they had contacted the city, then they were asked additional questions about their experience. The "number of respondents" field represents the number of people who answered yes to the contact question.

Responses of "don't know" are not included in this dataset, but can be found in the dataset for the entire Community Survey. A survey was not completed for 2015.

The performance measure dashboard is available at 2.02 Customer Service Satisfaction.

Additional Information

Source: Community Attitude Survey

Contact: Wydale Holmes

Contact E-Mail: Wydale_Holmes@tempe.gov

Data Source Type: Excel and PDF

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 ---