This interactive map uses almost 300 data variables at the zip code geography for metro Atlanta. The data includes the U.S. Census Bureau 2010 Decennial Census and the latest American Community Survey (2011-2015), business and establishment data (from the Census Zip Code Business Patterns), Earned Income Tax Credit usage (from Brookings and IRS) and data from Zillow about home sales prices and negative equity. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

The Kresge early childhood interactive map contains data relating to early childhood and education. It is meant to help stakeholders better understand the early childhood landscape better.

The Climate Indices (Beta) Map Viewer provided by NOAA's National Centers for Environmental Information (NCEI) is an interactive map providing access to metadata, data, and images about historical monthly climate indices information from gridded data for 4 variables and 22 spatial resolutions.

Layers available on the interactive map Climate Indices

Usage Tips Click on map to identify data of interest (or use the available tools to define a rectangular area) Results will appear on left, showing samples near the click point. Mouse-over the list to highlight data on the map In the results, click on an entry to view the station details and to access data

The 2012 USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which plants are most likely to thrive at a location. The map is based on the average annual minimum winter temperature, divided into 10-degree F zones. For the first time, the map is available as an interactive GIS-based map, for which a broadband Internet connection is recommended, and as static images for those with slower Internet access. Users may also simply type in a ZIP Code and find the hardiness zone for that area. No posters of the USDA Plant Hardiness Zone Map have been printed. But state, regional, and national images of the map can be downloaded and printed in a variety of sizes and resolutions. Resources in this dataset:Resource Title: USDA Plant Hardiness Zone Map. File Name: Web Page, url: https://planthardiness.ars.usda.gov/pages/view-maps Includes interactive, static, and georeferenced maps, map and data downloads, and information about plant hardiness zones in the United States.

This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

This interactive map symbolizes the population of total homeless individuals with small to large blue circles in each zip code. Additional homeless population demographics available by pop-up.

Traffic Count Viewer is an online mapping application, which users can use to explore traffic count reports in different locations within the Delaware Valley, including Philadelphia. Users search by location (address, city, zip code, or place name) to view point features on the interactive mapping visualization of traffic records. Clicking on a point of interest or grouping multiple points on the map yields traffic count information tables, which includes: Date of Counnt ; DVRPC File # ; Type ; Annual Average Daily Traffic (AADT) ; Municipality ; Route Number ; Road Name ; Count Direction ; and From/To Locations, as well as a link to the detailed (hourly) report. Data tables are exportable as .CSV and detailed reports are available for export in multiple formats (including basic .doc and .rtf outputs.) Traffic count data is collected by the Delaware Valley Regional Planning Commission and other agencies.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq

This dataset is a monthly upload of the Community Registry (www.AustinTexas.gov/CR), where community organizations such as neighborhood associations may register with the City of Austin to receive notices of land development permit applications within 500 feet of the organization's specified boundaries. This dataset can be used to contact multiple registered organizations at once by filtering/sorting, for example, by Association Type or by Association ZipCode. The organizations' boundaries can be viewed in the City's interactive map at www.AustinTexas.gov/GIS/PropertyProfile/ - the Community Registry layer is under the Boundaries/Grids folder.

The Food Access Research Atlas presents a spatial overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility, provides food access data for populations within census tracts, and offers census-tract-level data on food access that can be downloaded for community planning or research purposes.

This application provides an interactive maps for model-based chronic disease related estimates of the CDC PLACES (Population Level Analysis and Community Estimates). PLACES is an expansion of the original 500 Cities project and is funded by the Robert Wood Johnson Foundation through the CDC Foundation. PLACES includes 49 measures (12 health outcomes, 7 prevention measures, 4 health risk behaviors, 7 disabilities, 3 health status, 7 health-related social needs, and 9 social determinants of health) at county, place (incorporated and census designated places), census tract, and ZIP Code Tabulation Area (ZCTA) levels.The health outcomes measures include arthritis, current asthma, high blood pressure, cancer (non-skin) or melanoma, high cholesterol, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.The prevention measures include lack of health insurance, routine checkup within the past year, visited dentist or dental clinic in the past, taking medicine to control high blood pressure, cholesterol screening, mammography use for women, cervical cancer screening for women, and colorectal cancer screening.The health risk behaviors include binge drinking, current cigarette smoking, physical inactivity, and short sleep duration.The disability measures are six disability types (hearing, vision, cognitive, mobility, self-care, and independent living) and any disability.The health status measures include frequent mental distress, frequent physical distress, and poor or fair health.The health-related social needs measures include social isolation, food stamps, food insecurity, housing insecurity, utility services threat, transportation barriers, and lack of social and emotional support. The non-medical factor measures include population 65 years or older, no broadband, crowding, housing cost burden, no high school diploma, poverty, racial or ethnic minority status, single-parent households, and unemployment from U.S. Census Bureau’s American Community Health Survey.For more information, please visit https://www.cdc.gov/places or to contact places@cdc.gov.

Dataset SummaryPlease note: this data is live (updated nightly) to reflect the latest changes in the City's systems of record.About this data:The operational purpose of the vacant land dataset is to facilitate the tracking and mapping of vacant land for the purposes of promoting redevelopment of lots to increase the City's tax base and spur increased economic activity. These properties are both City owned and privately owned. The vast majority of vacant lots are the result of a demolition of a structure that once stood on the property. Vacant lots are noted in the official tax parcel assessment records with a class code beginning with 3, which denotes the category vacant land.Related Resources:For a searchable interactive mapping application, please visit the City of Rochester's Property Information explorer tool. For further information about the city's property tax assessments, please contact the City of Rochester Assessment Bureau. To access the City's zoning code, please click here.Data Dictionary: SBL: The twenty-digit unique identifier assigned to a tax parcel. PRINTKEY: A unique identifier for a tax parcel, typically in the format of “Tax map section – Block – Lot". Street Number: The street number where the tax parcel is located. Street Name: The street name where the tax parcel is located. NAME: The street number and street name for the tax parcel. City: The city where the tax parcel is located. Property Class Code: The standardized code to identify the type and/or use of the tax parcel. For a full list of codes, view the NYS Real Property System (RPS) property classification codes guide. Property Class: The name of the property class associated with the property class code. Property Type: The type of property associated with the property class code. There are nine different types of property according to RPS: 100: Agricultural 200: Residential 300: Vacant Land 400: Commercial 500: Recreation & Entertainment 600: Community Services 700: Industrial 800: Public Services 900: Wild, forested, conservation lands and public parks First Owner Name: The name of the property owner of the vacant tax parcel. If there are multiple owners, then the first one is displayed. Postal Address: The USPS postal address for the vacant landowner. Postal City: The USPS postal city, state, and zip code for the vacant landowner. Lot Frontage: The length (in feet) of how wide the lot is across the street. Lot Depth: The length (in feet) of how far the lot goes back from the street. Stated Area: The area of the vacant tax parcel. Current Land Value: The current value (in USD) of the tax parcel. Current Total Assessed Value: The current value (in USD) assigned by a tax assessor, which takes into consideration both the land value, buildings on the land, etc. Current Taxable Value: The amount (in USD) of the assessed value that can be taxed. Tentative Land Value: The current value (in USD) of the land on the tax parcel, subject to change based on appeals, reassessments, and public review. Tentative Total Assessed Value: The preliminary estimate (in USD) of the tax parcel’s assessed value, which includes tentative land value and tentative improvement value. Tentative Taxable Value: The preliminary estimate (in USD) of the tax parcel’s value used to calculate property taxes. Sale Date: The date (MM/DD/YYYY) of when the vacant tax parcel was sold. Sale Price: The price (in USD) of what the vacant tax parcel was sold for. Book: The record book that the property deed or sale is recorded in. Page: The page in the record book where the property deed or sale is recorded in. Deed Type: The type of deed associated with the vacant tax parcel sale. RESCOM: Notes whether the vacant tax parcel is zoned for residential or commercial use. R: Residential C: Commercial BISZONING: Notes the zoning district the vacant tax parcel is in. For more information on zoning, visit the City’s Zoning District map. OWNERSHIPCODE: Code to note type of ownership (if applicable). Number of Residential Units: Notes how many residential units are available on the tax parcel (if applicable). LOW_STREET_NUM: The street number of the vacant tax parcel. HIGH_STREET_NUM: The street number of the vacant tax parcel. GISEXTDATE: The date and time when the data was last updated. SALE_DATE_datefield: The recorded date of sale of the vacant tax parcel (if available). Source: This data comes from the department of Neighborhood and Business Development, Bureau of Business and Zoning.

UPS Facilities Locations Dataset

Locations and Details of UPS Facilities across the United States

By Homeland Infrastructure Foundation [source]

About this dataset

The UPS Facilities dataset is a comprehensive collection of information about UPS (United Parcel Service) facilities located across the United States. This dataset provides details on the location, placement, and contact information of each facility.

The dataset includes various columns such as X and Y coordinates, which indicate the longitude and latitude coordinates respectively. These coordinates pinpoint the exact geographic location of each UPS facility. Additionally, there are columns for the name of each facility, address including street address and additional information (ADDRESS2 and ADDRESS3), city, state, ZIP code, phone number for contact purposes.

Furthermore, this dataset provides insightful information about each facility's match status in terms of its address accuracy or completeness. It also includes details about the specific business associated with each UPS facility.

In addition to these data points, there are columns that provide census codes for each facility location. These codes offer additional contextual information related to demographic and socio-economic characteristics associated with each area where a UPS facility is situated.

Overall, this extensive dataset serves as a comprehensive resource for researchers or businesses looking to analyze or utilize information regarding UPS facilities across different states in the United States

How to use the dataset

Introduction:

• Understanding the Dataset Structure: The dataset consists of several columns that provide relevant information about each UPS facility location. Here is a brief overview of the key columns:

• NAME: The name of the UPS facility.

• ADDRESS: The street address of the UPS facility.

• ADDRESS2/ADDRESS3: Additional address information for the facility.

• CITY/STATE/ZIP: The city, state, and ZIP code where the facility is located.

• PHONE: The contact phone number for the facility.

Additionally, there are geographic coordinates (LATITUDE and LONGITUDE) representing each facility's precise location on a map. Other columns such as PLACEMENT, MATCHSTATU, CENSUSCODE, and BUSINESSNA provide further context regarding placement status, address matching status, census codes for locations, and associated business names.

• Potential Use Cases:

a) Visualizing Facility Distribution: Using latitude and longitude coordinates from this dataset with mapping tools like Python's Folium or Tableau can help create interactive maps that showcase spatial distributions across different regions.

b) Analyzing Facility Density: By aggregating data at regional levels (e.g., state-wise), you can analyze which areas have higher concentrations of UPS facilities compared to others. This analysis may offer insights into patterns related to population density or commercial activity.

c) Optimizing Transportation Routes: Understanding where these facilities are located can be beneficial for route optimization. By analyzing facility placements and their proximity to transportation networks, you can identify potential areas for streamlining logistics operations.

d) Market Research: The dataset's additional columns (such as BUSINESSNA) allow researchers to analyze UPS facilities within the context of associated businesses. This information can be useful for market research, identifying industry clusters, or studying supply chain dynamics.

• Data Cleaning and Preprocessing: Before utilizing this dataset, it is recommended to perform standard data cleaning procedures, such as handling missing or incorrect values. Pay attention to any inconsistencies in column names or encoding formats that may require normalization.

• Combining with Other Datasets: To

Research Ideas

• Geospatial analysis: This dataset can be used for geospatial analysis to analyze the distribution and concentration of UPS facilities across different states or cities. It can help identify areas with high or low availability of UPS services and assist logistics planning and decision making.
• Customer segmentation: By combining this dataset with customer data, businesses can segment their customers based on proximity to UPS facilities. This can help companies optimize their delivery routes, improve customer service, and target marketing efforts more effectively.
• Benchmarking and competition analysis: The dataset can also be used for benchmarking purposes by comparing the number of UPS facilities in different regions or against competito...

Zip Code Boundaries in Pinellas County, Florida.

Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:SUM_CASE_LENGTH_CENSUSSUM_CASE_LENGTH_CITYWIDESUM_CASE_LENGTH_PDFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.

Boundaries (polygons) of US Congressional (House of Representatives) districts in New York State with name and contact info for Congressperson. Districts based on Legislative Task Force redistricting 2024. Information on representative based on congressional website as of 1-14-2025.Please contact Geospatial Services at nysgis@its.ny.gov if you have any questions.All district boundaries have been clipped to the NYS shoreline. This affects the following counties: Bronx, Cayuga, Chautauqua, Clinton, Erie, Essex, Franklin, Jefferson, Kings, Monroe, Nassau, New York, Niagara, Orleans, Oswego, Queens, Richmond, St. Lawrence, Suffolk, Washington, Wayne, Westchester.

Source data for an on-line interactive map of Manitoba showing the locations of recycling depots. The Sustainable and Green Initiatives branch collect location and information data (name of the facility, address, hours of operation and phone number) from 12 producer responsibility organizations (PRO) on an annual basis.This is a point layer symbolized by the items accepted at that location.Fields Included: loc_ID Location identification number name Name of depot phone Phone number (if available) hours Hours and other details (if available) location_name Generic name of location (if available) box_unit P.O. Box number of Unit number (if available) address Street number and Street name City nearest City Province Province Postal Code Postal Code Country Country Latitude Latitude in Decimal Degrees Longitude Longitude in Decimal Degrees is_active Indicates if the location is actively accepting items website Website URL address (if available) created_date Date entry was created modified_date Date entry was modified by the branch cell_phones Indicates if this item is accepted, if blank it is not accepted at this location paint Indicates if this item is accepted, if blank it is not accepted at this location tires Indicates if this item is accepted, if blank it is not accepted at this location electronics Indicates if this item is accepted, if blank it is not accepted at this location plastic_bags Indicates if this item is accepted, if blank it is not accepted at this location oil_and_antifreeze Indicates if this item is accepted, if blank it is not accepted at this location Pharmaceuticals Indicates if this item is accepted, if blank it is not accepted at this location Rechargable_Batteries Indicates if this item is accepted, if blank it is not accepted at this location Fluorescent_Lights Indicates if this item is accepted, if blank it is not accepted at this location Mercury_containing_thermometers Indicates if this item is accepted, if blank it is not accepted at this location Blue_box_materials Indicates if this item is accepted, if blank it is not accepted at this location Lead_acid_batteries Indicates if this item is accepted, if blank it is not accepted at this location Pesticide_containers Indicates if this item is accepted, if blank it is not accepted at this location Scrap_metal Indicates if this item is accepted, if blank it is not accepted at this location textiles Indicates if this item is accepted, if blank it is not accepted at this location mattresses Indicates if this item is accepted, if blank it is not accepted at this location refrigeration_cooling Indicates if this item is accepted, if blank it is not accepted at this location

North Carolina Effective Flood zones: In 2000, the Federal Emergency Management Agency (FEMA) designated North Carolina a Cooperating Technical Partner State, formalizing an agreement between FEMA and the State to modernize flood maps. This partnership resulted in creation of the North Carolina Floodplain Mapping Program (NCFMP). As a CTS, the State assumed primary ownership and responsibility of the Flood Insurance Rate Maps (FIRMs) for all North Carolina communities as part of the National Flood Insurance Program (NFIP). This project includes conducting flood hazard analyses and producing updated, Digital Flood Insurance Rate Maps (DFIRMs). Floodplain management is a process that aims to achieve reduced losses due to flooding. It takes on many forms, but is realized through a series of federal, state, and local programs and regulations, in concert with industry practice, to identify flood risk, implement methods to protect man-made development from flooding, and protect the natural and beneficial functions of floodplains. FIRMs are the primary tool for state and local governments to mitigate areas of flooding. Individual county databases can be downloaded from https://fris.nc.gov Updated Jan 17th, 2025.

Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:SUM_ARRESTS_CENSUSSUM_ARRESTS_CITYWIDESUM_ARRESTS_PDFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.

Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:CASE_OUTCOMES_CENSUSCASE_OUTCOMES_CITYWIDECASE_OUTCOMES_PDFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.

Spreadsheets and graphs are powerful tools that make data come alive and tell a story. Now, use maps to see the story from another perspective. ArcGIS Maps for Office enables Microsoft Excel and PowerPoint users worldwide to ask location-related questions of data, get powerful insights, and make the best decisions. You can:Map your spreadsheet data – whether you want to see customer locations, ZIP code aggregations, custom sales territories and more – you can see it all.Add geographic context to your spreadsheet data and communicate these insights via interactive maps in PowerPoint.Gain insight into demographic, spending, behavior, and landscape information, among many more.Use the authoritative content on the ArcGIS platform to supplement your location data and add context to the locations in your spreadsheet.Securely share your maps with colleagues and stakeholders.Bring the power of the ArcGIS platform into your spreadsheets and presentations. To use ArcGIS Maps for Office you need an ArcGIS Online paid or trial subscription or a Portal for ArcGIS Named User License and Microsoft Office 2010, 2013, or 2016. Visit the online documentation for information on how to use this app.