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 Notes Table

Community Analyst Report Template. This infographic contains data provided by Esri. The vintage of the data is 2022.

Community Analyst Layer: Sports & Entertainment

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

Community Analyst Report Template. This infographic contains data provided by U.S. Census (2000, 2010, 2020), Esri (2023, 2028), ACS (2017-2021).

This layer shows disability status by sex and age group. 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 to show the percentage of elderly (65+) with a disability. 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: 2019-2023ACS Table(s): B18101Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National 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 2023 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.

Community Analyst Layer: Professional, Scientific & Technical Service

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

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

Average Household Amount Spent on Food, as forcasted for 2021

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: Retail

This dataset contains demographic figures for each Fulton County Commission District. Data are derived primarily from Esri as estimated from Community Analyst.

Community Analyst Report Template. This infographic contains data provided by ACS, Esri. The vintage of the data is 2017-2021, 2023, 2028.

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.

Historical information about the total Employees and Businesses Dataset is a snapshot of the total number of businesses that are currently in Mesa, as well as the total number of employees that work in Mesa. Source: ESRI Community Analyst. It is important to note that in this dataset, a “Full-Time Employee (FTE)” in Mesa is someone who may not necessarily live in Mesa, however, they are employed at a business that is located in Mesa. This is a distinct difference between the “Employment” number in Mesa, which is stated in the “Employment Dataset.” Employment refers to the total number of Mesa residents that are employed, within or outside of the City of Mesa.

Community Analyst Layer: Public Administration

Community Analyst Report Template. This infographic contains data provided by Esri. The vintage of the data is 2023, 2028.

Community Analyst Attachments Table