100+ datasets found
  1. a

    Pricing Guide

    • hub.arcgis.com
    • data-peoriacountygis.opendata.arcgis.com
    Updated Sep 14, 2017
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    County of Peoria (2017). Pricing Guide [Dataset]. https://hub.arcgis.com/documents/42f426b1cf664e7fa54ce9a4be0abb7c
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    Dataset updated
    Sep 14, 2017
    Dataset authored and provided by
    County of Peoria
    Description

    The Peoria County GIS open data website provides GIS data, interactive maps, and digital maps free of charge under an open data license agreement. Peoria County GIS also provides custom GIS services upon request for GIS data and digital maps not available on the open data website. Please click the Download button to download and view the current custom GIS services pricing guide. All custom services are charged at $60 per hour.Contact InformationEmail: gis@peoriacounty.orgPhysical AddressPeoria County CourthouseIT Service Department - GIS Division324 Main St.Room G11Peoria, IL 61602

  2. Single-Family Home Sale Prices by Census Tract

    • s.cnmilf.com
    • hub.arcgis.com
    • +2more
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Single-Family Home Sale Prices by Census Tract [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/single-family-home-sale-prices-by-census-tract-5e2cd
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Description

    Displacement risk indicator classifying census tracts according to single-family home sale prices in census tracts where at least 100 single-family homes exist. We classify arms-length transactions only along two dimensions:The median price of sales within the census tract for the specified year, balancing between nominal sale price and sale price per square foot.The change in median sale price (again balanced between nominal sale price and price per square foot) from the previous year.

  3. G

    GIS Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 4, 2025
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    AMA Research & Media LLP (2025). GIS Software Report [Dataset]. https://www.archivemarketresearch.com/reports/gis-software-48509
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Geographic Information System (GIS) software market is experiencing robust growth, driven by increasing adoption across various sectors like government, utilities, and transportation. The market, currently valued at approximately $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key trends, including the rising demand for location-based services, the proliferation of geospatial data, and the increasing use of cloud-based GIS solutions. The cloud-based segment is rapidly gaining traction due to its scalability, cost-effectiveness, and accessibility. Furthermore, the enterprise application segment dominates the market share, reflecting the widespread adoption of GIS for complex spatial analysis and decision-making in large organizations. While the market faces some restraints, such as the high initial investment costs for some advanced systems and the need for specialized expertise, the overall growth trajectory remains positive. The increasing integration of GIS with other technologies like AI and IoT further enhances its capabilities, opening new avenues for market expansion. Major players like Esri, Google, and Pitney Bowes are leading the market, constantly innovating and expanding their product offerings to meet evolving customer needs. The regional distribution of the market shows strong performance in North America and Europe, driven by advanced technological infrastructure and high adoption rates. However, the Asia-Pacific region is emerging as a significant growth area, propelled by rapid urbanization and infrastructure development. The competitive landscape is marked by both established players and emerging startups, fostering innovation and competition. The ongoing advancements in GIS technology, including improvements in data visualization, analytics, and mobile accessibility, are expected to further propel market growth in the coming years. The integration of GIS with other technologies will lead to new applications and expanded opportunities, ultimately driving the market towards sustained expansion throughout the forecast period.

  4. a

    Heating Fuel Price, All Years

    • rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com
    • gis.data.alaska.gov
    • +3more
    Updated Sep 4, 2019
    + more versions
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    Dept. of Commerce, Community, & Economic Development (2019). Heating Fuel Price, All Years [Dataset]. https://rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com/datasets/heating-fuel-price-all-years
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    Dataset updated
    Sep 4, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Beginning in 2005, the Division of Community and Regional Affairs began collecting prices of heating fuel and unleaded gasoline in 100 select communities. The communities have remained constant since the project’s inception. The prices for heating fuel in these 100 communities are collected via a telephone survey of each fuel retailer. Survey methodology has evolved over time; however, the reported prices should be considered representative of what a community resident would have paid for a gallon of heating fuel (including tax) on the day of contact.

  5. d

    Apartment Market Rent Prices by Census Tract

    • catalog.data.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Apartment Market Rent Prices by Census Tract [Dataset]. https://catalog.data.gov/dataset/apartment-market-rent-prices-by-census-tract
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:The median rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in median rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Median rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing.Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

  6. A

    Where does healthcare cost the most? (Learn ArcGIS)

    • data.amerigeoss.org
    esri rest, html
    Updated Mar 16, 2020
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    ESRI (2020). Where does healthcare cost the most? (Learn ArcGIS) [Dataset]. https://data.amerigeoss.org/dataset/3c8de84b-5b1b-47d3-90eb-e3ef055f7f61
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    html, esri restAvailable download formats
    Dataset updated
    Mar 16, 2020
    Dataset provided by
    ESRI
    Description

    Where does healthcare cost the most? (Learn ArcGIS online lesson).


    In this lesson you will learn how to:
    • Group and display data by different classification methods.
    • Uses statistical analysis to find areas of significantly high and low cost.

    _

    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.

  7. Listing prices dataset for Mexico City

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Dec 16, 2022
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    Pablo López-Ramírez; Pablo López-Ramírez (2022). Listing prices dataset for Mexico City [Dataset]. http://doi.org/10.5281/zenodo.7444374
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    zipAvailable download formats
    Dataset updated
    Dec 16, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Pablo López-Ramírez; Pablo López-Ramírez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Mexico, Mexico City
    Description

    Web scraped listing price data for Mexico City for the year 2018

  8. a

    Gas Prices, All Years

    • rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com
    • gis.data.alaska.gov
    • +4more
    Updated Sep 4, 2019
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    Dept. of Commerce, Community, & Economic Development (2019). Gas Prices, All Years [Dataset]. https://rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com/datasets/gas-prices-all-years
    Explore at:
    Dataset updated
    Sep 4, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Beginning in 2005, the Division of Community and Regional Affairs began collecting prices of heating fuel and unleaded gasoline in 100 select communities. The communities have remained constant since the project’s inception. The prices for unleaded gasoline in these 100 communities are collected via a telephone survey of each fuel retailer and reflect an “at the pump” price per gallon (including tax) on the day of contact. The survey is generally conducted once during the summer and once during the winter in any given year.

  9. d

    Data from: Superfund GIS - Physiographic Provinces, Aquifer Outcrops and...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Nov 1, 2024
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    U.S. Geological Survey (2024). Superfund GIS - Physiographic Provinces, Aquifer Outcrops and Recharge Rates in Tennessee [Dataset]. https://catalog.data.gov/dataset/superfund-gis-physiographic-provinces-aquifer-outcrops-and-recharge-rates-in-tennessee
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This dataset is a coverage of the physiographic provinces, aquifer outcrops and recharge rates for Tennessee. Each polygon is attributed with its associated physiographic region name (Miller, 1974), aquifer type and composition (Connell and Barron, 1993, p. 2), and aquifer recharge rates (Hoos, 1990 p. 19).

  10. d

    5.17 Total Cost of Risk (summary)

    • catalog.data.gov
    • open.tempe.gov
    • +4more
    Updated Jan 17, 2025
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    City of Tempe (2025). 5.17 Total Cost of Risk (summary) [Dataset]. https://catalog.data.gov/dataset/5-17-total-cost-of-risk-summary
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    The Cost of Risk metric shows how much the city spends on handling risks (like insurance, legal expenses, or accident payouts) compared to how much money it collects overall.The performance measure dashboard is available at 5.17 Total Cost of Risk.Additional InformationSource: Peoplesoft and ACFRContact: Laura CalderContact E-Mail: laura.calder@tempe.govData Source Type: ExcelPreparation Method: The total expenses in Fund 2661 (The Risk Management cost center) is divided by the total revenue from Annual Comprehensive Financial Report to calculate the total cost of Risk.Publish Frequency: AnnualPublish Method: ManualData Dictionary (pending update)

  11. d

    Housing Cost Burden by Race

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Jan 31, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Housing Cost Burden by Race [Dataset]. https://catalog.data.gov/dataset/housing-cost-burden-by-race-cea20
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing either housing cost burden (contributing more than 30% of monthly income toward housing costs) or severe housing cost burden (contributing more than 50% of monthly income toward housing costs).

  12. a

    Median Price of Homes Sold

    • hub.arcgis.com
    • bmore-open-data-baltimore.hub.arcgis.com
    Updated Mar 24, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Median Price of Homes Sold [Dataset]. https://hub.arcgis.com/maps/eb55867e580740228b0d4317464ea040
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The median home sales price is the middle value of the prices for which homes are sold (both market and private transactions) within a calendar year. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the prices for which homes are sold. This measure does not take into account the assessed value of a property.Source: First American Real Estate Solutions (FARES) and RBIntel Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2022

  13. d

    SDOT GIS Datasets

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    Updated Dec 16, 2024
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    cos-data.seattle.gov (2024). SDOT GIS Datasets [Dataset]. https://catalog.data.gov/dataset/sdot-gis-datasets-e011c
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    Dataset updated
    Dec 16, 2024
    Dataset provided by
    cos-data.seattle.gov
    Description

    The City of Seattle Transportation GIS Datasets | https://data-seattlecitygis.opendata.arcgis.com/datasets?t=transportation | Lifecycle status: Production | Purpose: to enable open access to SDOT GIS data. This website includes over 60 transportation-related GIS datasets from categories such as parking, transit, pedestrian, bicycle, and roadway assets. | PDDL: https://opendatacommons.org/licenses/pddl/ | The City of Seattle makes no representation or warranty as to its accuracy. The City of Seattle has created this service for our GIS Open Data website. We do reserve the right to alter, suspend, re-host, or retire this service at any time and without notice. | Datasets: 2007 Traffic Flow Counts, 2008 Traffic Flow Counts, 2009 Traffic Flow Counts, 2010 Traffic Flow Counts, 2011 Traffic Flow Counts, 2012 Traffic Flow Counts, 2013 Traffic Flow Counts, 2014 Traffic Flow Counts, 2015 Traffic Flow Counts, 2016 Traffic Flow Counts, 2017 Traffic Flow Counts, 2018 Traffic Flow Counts, Areaways, Bike Racks, Blockface, Bridges, Channelization File Geodatabase, Collisions, Crash Cushions, Curb Ramps, dotMaps Active Projects, Dynamic Message Signs, Existing Bike Facilities, Freight Network, Greater Downtown Alleys, Guardrails, High Impact Areas, Intersections, Marked Crosswalks, One-Way Streets, Paid Area Curbspaces, Pavement Moratoriums, Pay Stations, Peak Hour Parking Restrictions, Planned Bike Facilities, Public Garages or Parking Lots, Radar Speed Signs, Restricted Parking Zone (RPZ) Program, Retaining Walls, SDOT Capital Projects Input, Seattle On Street Paid Parking-Daytime Rates, Seattle On Street Paid Parking-Evening Rates, Seattle On Street Paid Parking-Morning Rates, Seattle Streets, SidewalkObservations, Sidewalks, Snow Ice Routes, Stairways, Street Design Concept Plans, Street Ends (Shoreline), Street Furnishings, Street Signs, Street Use Permits Use Addresses, Streetcar Lines, Streetcar Stations, Traffic Beacons, Traffic Cameras, Traffic Circles, Traffic Detectors, Traffic Lanes, Traffic Signals, Transit Classification, Trees.

  14. Global Cloud GIS Market By Type (SaaS, PaaS, IaaS), By Application...

    • verifiedmarketresearch.com
    Updated May 31, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Cloud GIS Market By Type (SaaS, PaaS, IaaS), By Application (Government, Enterprises, Education, Healthcare, Retail), By Deployment Model (Public, Private, Hybrid), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/cloud-gis-market/
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    Dataset updated
    May 31, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Cloud GIS Market size was valued at USD 890.81 Million in 2023 and is projected to reach USD 2298.38 Million by 2031, growing at a CAGR of 14.5% from 2024 to 2031.

    Key Market Drivers
    • Increased Adoption of Cloud Computing: Cloud computing provides scalable resources that can be adjusted based on demand, making it easier for organizations to manage and process large GIS datasets. The pay-as-you-go pricing models of cloud services reduce the need for significant upfront investments in hardware and software, making GIS more accessible to small and medium-sized enterprises.
    • Growing Need for Spatial Data Integration: The ability to integrate and analyze large volumes of spatial and non-spatial data helps organizations make more informed decisions. The proliferation of Internet of Things (IoT) devices generates massive amounts of spatial data that can be processed and analyzed using Cloud GIS.
    • Advancements in GIS Technology: User-friendly interfaces and visualization tools make it easier for non-experts to use GIS applications. Advanced analytical tools and machine learning algorithms available in cloud platforms enhance the capabilities of traditional GIS.
    • Increased Demand for Real-Time Data: Industries like disaster management, transportation, and logistics require real-time data processing and analysis, which is facilitated by Cloud GIS. The need for up-to-date maps and spatial data drives the adoption of cloud-based GIS solutions.
    • Collaboration and Sharing Needs: The ability to access GIS data and collaborate from anywhere enhances productivity and supports remote work environments. Cloud GIS supports simultaneous access by multiple users, facilitating better teamwork and data sharing.
    • Urbanization and Smart Cities Initiatives: Cloud GIS is crucial for smart city initiatives, urban planning, and infrastructure development, providing the tools needed for efficient resource management. Supports planning and monitoring of sustainable development projects by providing comprehensive spatial analysis capabilities.
    • Government and Policy Support: Increased government investment in geospatial technologies and smart infrastructure projects drives the adoption of Cloud GIS. Compliance with regulatory requirements for environmental monitoring and land use planning necessitates the use of advanced GIS tools.
    • Industry-Specific Applications: Precision farming and land management benefit from the advanced analytics and data integration capabilities of Cloud GIS. Epidemiology and public health monitoring rely on spatial data analysis for tracking disease outbreaks and resource allocation.

  15. a

    School Free and Reduced Price Lunch

    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    • gis.data.alaska.gov
    • +1more
    Updated Sep 5, 2019
    + more versions
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    Dept. of Commerce, Community, & Economic Development (2019). School Free and Reduced Price Lunch [Dataset]. https://statewide-geoportal-1-soa-dnr.hub.arcgis.com/datasets/DCCED::school-free-and-reduced-price-lunch
    Explore at:
    Dataset updated
    Sep 5, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Free and reduced lunch data for each participating public school in Alaska. This data set includes the number of students receiving free lunches and reduced price lunches, and the percentage of the students enrolled in either of these programs. Students qualify for free and reduced meals under the National School Lunch Program.Source: Alaska Department of Education & Early Development, School Nutrition Programs

    This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center.

  16. H

    Homeowner Cost

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Nov 27, 2018
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    Office of Planning (2018). Homeowner Cost [Dataset]. https://opendata.hawaii.gov/dataset/homeowner-cost
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    html, arcgis geoservices rest api, zip, kml, csv, geojsonAvailable download formats
    Dataset updated
    Nov 27, 2018
    Dataset provided by
    City & County of Honolulu GIS
    Authors
    Office of Planning
    Description

    Ownership Cost 30% of income from PUMA (Public Use MicroData Area) Data

  17. a

    Median rental prices

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • regionalbarometer.oregonmetro.gov
    • +1more
    Updated Mar 28, 2020
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    Metro (2020). Median rental prices [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/07c5c539975e4a4b826d3c472aa7ec2e
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    Dataset updated
    Mar 28, 2020
    Dataset authored and provided by
    Metro
    Description

    Clackamas, Multnomah, and Washington counties as well as Metro-area median studio, 1 bedroom, and 2 bedroom rental prices for 2011 - 2019.Data sourced from https://www.zillow.com/research/data/

  18. d

    Data from: Cancer Rates

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Nov 22, 2024
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    Lake County Illinois GIS (2024). Cancer Rates [Dataset]. https://catalog.data.gov/dataset/cancer-rates-5cf0c
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Lake County Illinois GIS
    Description

    Cancer Rates for Lake County Illinois. Explanation of field attributes: Colorectal Cancer - Cancer that develops in the colon (the longest part of the large intestine) and/or the rectum (the last several inches of the large intestine). This is a rate per 100,000. Lung Cancer – Cancer that forms in tissues of the lung, usually in the cells lining air passages. This is a rate per 100,000. Breast Cancer – Cancer that forms in tissues of the breast. This is a rate per 100,000. Prostate Cancer – Cancer that forms in tissues of the prostate. This is a rate per 100,000. Urinary System Cancer – Cancer that forms in the organs of the body that produce and discharge urine. These include the kidneys, ureters, bladder, and urethra. This is a rate per 100,000. All Cancer – All cancers including, but not limited to: colorectal cancer, lung cancer, breast cancer, prostate cancer, and cancer of the urinary system. This is a rate per 100,000.

  19. California Sales and Use Tax Rates

    • catalog.data.gov
    • data.ca.gov
    • +6more
    Updated Nov 27, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). California Sales and Use Tax Rates [Dataset]. https://catalog.data.gov/dataset/california-sales-and-use-tax-rates-56155
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    Area covered
    California
    Description

    California Department of Tax and Fee Administration sales and use tax rates by jurisdiction. This data is used by the Find Your Tax Rate application to determine the tax rate of an address. https://maps.cdtfa.ca.gov . There are two layers. Layer 0 is the main tax rate map and layer 1 contains additional Tax Area Code (TAC) field with additional geometry for redevelopment areas.

  20. T

    General Mills | GIS - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). General Mills | GIS - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/gis:us
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Mar 26, 2025
    Area covered
    United States
    Description

    General Mills stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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County of Peoria (2017). Pricing Guide [Dataset]. https://hub.arcgis.com/documents/42f426b1cf664e7fa54ce9a4be0abb7c

Pricing Guide

Explore at:
Dataset updated
Sep 14, 2017
Dataset authored and provided by
County of Peoria
Description

The Peoria County GIS open data website provides GIS data, interactive maps, and digital maps free of charge under an open data license agreement. Peoria County GIS also provides custom GIS services upon request for GIS data and digital maps not available on the open data website. Please click the Download button to download and view the current custom GIS services pricing guide. All custom services are charged at $60 per hour.Contact InformationEmail: gis@peoriacounty.orgPhysical AddressPeoria County CourthouseIT Service Department - GIS Division324 Main St.Room G11Peoria, IL 61602

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