This is a re-symbolization of the data found here: https://dallasgis.maps.arcgis.com/home/item.html?id=6fc65a96d79944e093a04cd507a25a34 It allows for a quick look at the poverty rates in and around zipcodes in the Dallas Metro area.The census tract data was obtained for the state of Texas from the Census Bureau's TIGER/Line files and clipped to City of Dallas boundaries. Table S1701 (Poverty Status in the Past 12 Months)ZipCodes: https://dallasgis.maps.arcgis.com/home/item.html?id=aca3ce05245c460f88fd7d77be09749e The Postal Service does not publish ZIP codes as you would think of them in a polygonal format. They are merely a collection of carrier routes. Zipcode Mapping is at best an approximation of the carrier routes, and subject to change without notice.National ZipCodes: https://dallasgis.maps.arcgis.com/home/item.html?id=0a2fde8aa7404187917488bafcbc77e6

This map utilizes the basic feature classes for zip codes in Dallas and for City Council District boundaries in Dallas.This map has been produced as a utility for Housing staff to do the following:- Identify the council district of zip codes affiliated with their programs- Identify targeted or marketing areas tied to council boundaries- Ensure zip codes are within the City of Dallas

This web map should be retired in the next 6 Months. Spring of 2023The Postal Service does not publish ZIP codes as you would think of them in a polygonal format. They are merely a collection of carrier routes.Zipcode Mapping is at best an approximation of the carrier routes, and subject to change without notice.National ZipCodes: https://dallasgis.maps.arcgis.com/home/item.html?id=0a2fde8aa7404187917488bafcbc77e6

** A Newer Version of this data is available here: https://dallasgis.maps.arcgis.com/home/item.html?id=0a2fde8aa7404187917488bafcbc77e6The United States Postal Service (USPS) does not define ZIP codes as fixed geographic boundaries, such as polygons on a map. Instead, ZIP codes are structured as collections of carrier routes designed to optimize mail delivery. These routes are established based on logistical considerations, such as population density, delivery efficiency, and infrastructure changes, rather than adhering to precise geographic outlines.When ZIP codes are mapped, the resulting visualization is essentially an estimation of these delivery routes. However, these approximations are inherently subject to change, as the Postal Service frequently adjusts routes to accommodate new developments, address shifts in demand, or enhance operational efficiency. Consequently, any representation of ZIP codes on a map should be understood as a general reference and not as an exact or permanent delineation.National ZipCodes: https://dallasgis.maps.arcgis.com/home/item.html?id=0a2fde8aa7404187917488bafcbc77e6

A number that identifies each postal delivery area in the city.

This layer should be only considered for HISTORICAL Perspective. The spatial data here is no longer to be looked at as anything other than reference information. At the time of creation, this layer shows a total of 60 zip codes partially within Dallas Proper, with 20 zip codes completely within the City. This layer is used in multiple locations:App: 'Dallas Area Zip Codes and Poverty Rates' https://dallasgis.maps.arcgis.com/apps/webappviewer/index.html?id=71137d5c2b0a44199e259b1b612151a8Zip Codes in the proximity of the City of Dallas were 'enriched' using the online ESRI toolset. This toolset allows for the addition of information from the American Community Survey and other curated Data sets.American Community Survey data is estimated by the US Census bureau and should not be considered a 'count'.The various fields are sourced in the interface. Each of the fields give the year and source information with them when you do the analysis.The Postal Service does not publish ZIP codes as you would think of them in a polygonal format. They are merely a collection of carrier routes.Zipcode Mapping is at best an approximation of the carrier routes, and subject to change without notice.National ZipCodes: https://dallasgis.maps.arcgis.com/home/item.html?id=0a2fde8aa7404187917488bafcbc77e6

ESRI Curated Zipcodes were clipped by the most recent version of the Dallas City Limits. These Zipcodes are being used in applications and maps for different purposes. Any time a Zipcode is the desired analysis geometry. However, zipcodes are NOT optimal for analysis, but should be used carefully.More data below:Zipcodes are an approximation of delivery routes from the Postal Service. There is not an authoritative GIS layer for Postal Zipcodes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zipcodes are not good for geospatial analysis.

The Social Vulnerability Score was calculated: Here https://dallasgis.maps.arcgis.com/home/item.html?id=9313c6177571403cab15d619826e659aDisplay risk score for Dallas ZCTA, per CDC guidelines, regarding COVID-19 impactThe Office of Resilience then calculated a vulnerability score based on the following: MethodologyData was analyzed for each area in the city limits, assessed against the key questions below, and assigned a risk score (5:Highest Risk à 0: No Risk).Do Black, Hispanic and Native American populations together make up more than 70% of the community?Does the area have 15% or more of its families at or below 100% of the federal poverty level?Do less than 50% of the area’s households own the home they live in?Is the area rated “High” on the CDC’s Social Vulnerability Index, Socioeconomic Level?Are more than 12% of the area’s residents 65 or older?COVID Cases Data is pulled from below link. Data is as of 2-Feb-2021 https://covid-analytics-pccinnovation.hub.arcgis.com/

This joined view service combines data from the Texas Department of State Health Services with an enriched zip code service. The enriched zip code data was created using the ArcGIS Online enrichment tool. The resulting service provides users with detailed demographic information from the American Community Survey data by for each zip code within the city of Dallas. The Covid-19 Vaccination data comes from the Texas Department of State of Health services. The service with the DSHS data can be found at https://dallasgis.maps.arcgis.com/home/item.html?id=298df34bc7ca4c30a4fa423e80902a79#overview. The DSHS vaccination data is updated weekly each Monday at 6 PM CST. For more information about the Texas Immunization Registry, ImmTrac2, please visit https://www.dshs.texas.gov/immunize/immtrac/default.shtmMore data below:Zip codes are an approximation of delivery routes from the US Postal Service. There is not an authoritative GIS layer for US Postal zip codes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zip codes are not good for geospatial analysis.

This is an application that simply shows the relationship between Council Districts and Zipcodes.Zipcodes are an approximation of delivery routes from the Postal Service. There is not an authoritative GIS layer for Postal Zipcodes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zipcodes are not good for geospatial analysis.The zipcode layer that feeds this application is here: https://dallasgis.maps.arcgis.com/home/item.html?id=ce45960a2583488e8a4fb5a84a38ff84Council Districts for the City of Dallas are defined. Service Description: As required by Dallas City Charter, redistricting of elected official districts is requred every ten years based on updated Census information. This shapefile represents the updated city council district boundaries as approved by the Dallas City Council on October 5, 2011. Boundaries are based upon 2010 Census Block geography and may not conform with other data. Where street boundaries serve as district borders, the entire right of way is assigned to the northern or eastern boundary. Utilizing this file with non-census shapefiles may result in discrepancies between boundaries. To identify appropriate boundaries, please use in conjunction with the 2010 Census edges and block files. Note: External boundaries conflated to match base City Limits GIS data.

This service provides users with the number of Covid-19 cases in each zip code within the City of Dallas. It is a view only service that provides the public with the data in a secure way. This service is no longer being updated and is provided for historical purposes. It was last updated on February 23, 2023. More data below:Zip codes are an approximation of delivery routes from the US Postal Service. There is not an authoritative GIS layer for US Postal zip codes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zip codes are not good for geospatial analysis.

The map contains catchment data from 2022 to 2023 displayed on a quarterly basis. The data was obtained from Airline Data Inc. The number of passengers per zip code was normalized by the zip code's population.

The zipcode boundaries available for all 16 counties in the North Central Texas Council of Governments were rectified to the latest aerial photography available for each county during the years of 1998 - 2001. Collin, Dallas, Denton, Rockwall & Tarrant counties were based on orthos with a relative accuracy of 2-foot. The remaining counties were based on orthos with a 5-10 foot relative accuracy. This file is for reference use only. NCTCOG and its members are not responsible for mistakes or accuracy in the files.

This map presents users with information on public facilities, the vulnerable populations, and the nubmer of Covid-19 cases by zip codes.

This map shows Place of Birth by Citizenship Status and Languages Spoken at Home, Zip Codes, and Dallas City Council Districts. This is shown by tract, county, and state boundaries using American Community Survey (ACS) 5-year estimates and margin of error data from Table B05002 and B16007. Current Vintage: 2017-2021ACS Table(s): B05002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey National Figures: data.census.govCurrent Vintage: 2017-2021ACS Table(s): B16007Data downloaded from: Census Bureau's API for American Community Survey National Figures: data.census.govData 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 2021 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.

Parkland Diabetes Study investigates the prevalence and impact of diabetes within the communities. This comprehensive research initiative aims to discern the factors contributing to the rising incidence of diabetes, analyze demographic patterns, and assess the associated health outcomes. By conducting extensive surveys and clinical examinations, the study gathers crucial data on lifestyle choices, genetic predispositions, and environmental influences that may influence diabetes risk. The research team collaborates with local healthcare providers to ensure a diverse and representative sample. Through this study, we seek to enhance our understanding of diabetes in the Parkland community, ultimately informing targeted prevention strategies and improving the overall health and well-being of residents.