Geographic Information System Software Market Outlook

The global Geographic Information System (GIS) Software market size was valued at approximately USD 7.8 billion in 2023 and is projected to reach USD 15.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.3% during the forecast period. This impressive growth can be attributed to the increasing demand for efficient data management tools across various industries, which rely on spatial data for decision-making and strategic planning. The rapid advancements in technology, such as the integration of AI and IoT with GIS software, have further propelled the market, enabling organizations to harness the full potential of geographic data in innovative ways.

One of the primary growth drivers of the GIS Software market is the burgeoning need for urban planning and smart city initiatives worldwide. As urbanization trends escalate, cities are increasingly relying on GIS technology to manage resources more effectively, optimize transportation networks, and enhance public safety. The ability of GIS software to provide real-time data and spatial analysis is vital for city planners and administrators faced with the challenges of modern urban environments. Furthermore, the trend towards digital transformation in governmental organizations is boosting the adoption of GIS solutions, as they seek to improve operational efficiency and service delivery.

The agricultural sector is also experiencing significant transformations due to the integration of GIS software, which is another pivotal growth factor for the market. Precision agriculture, which involves the use of GIS technologies to monitor and manage farming practices, is enabling farmers to increase crop yields while reducing resource consumption. By leveraging spatial data, farmers can make informed decisions about planting, irrigation, and harvesting, ultimately leading to more sustainable agricultural practices. This trend is particularly prominent in regions where agriculture forms a substantial portion of the economy, encouraging the adoption of advanced GIS tools to maintain competitive advantage.

Another influential factor contributing to the growth of the GIS Software market is the increasing importance of environmental management and disaster response. GIS technology plays a crucial role in assessing environmental changes, managing natural resources, and planning responses to natural disasters. The ability to overlay various data sets onto geographic maps allows for better analysis and understanding of environmental phenomena, making GIS indispensable in tackling issues such as climate change and resource depletion. Moreover, governments and organizations are investing heavily in GIS tools that aid in disaster preparedness and response, ensuring timely and effective action during emergencies.

The evolution of GIS Mapping Software has been instrumental in transforming how spatial data is utilized across various sectors. These software solutions offer robust tools for visualizing, analyzing, and interpreting geographic data, enabling users to make informed decisions based on spatial insights. With the ability to integrate multiple data sources, GIS Mapping Software provides a comprehensive platform for conducting spatial analysis, which is crucial for applications ranging from urban planning to environmental management. As technology continues to advance, the capabilities of GIS Mapping Software are expanding, offering more sophisticated features such as 3D visualization and real-time data processing. These advancements are not only enhancing the utility of GIS tools but also making them more accessible to a wider range of users, thereby driving their adoption across different industries.

Regionally, North America and Europe have traditionally dominated the GIS Software market, thanks to their robust technological infrastructure and higher adoption rates of advanced technologies. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increased government spending on infrastructure development, and the expanding telecommunications sector. The growing awareness and adoption of GIS solutions in countries like China and India are significant contributors to this regional growth. Furthermore, Latin America and the Middle East & Africa regions are slowly catching up, with ongoing investments in smart city projects and infrastructure development driving the demand for GIS software.

Component Analysis</h2&

The seamless, county-wide parcel layer was digitized from official Assessor Parcel (AP) Maps which were originally maintained on mylar sheets and/or maintained as individual Computer Aided Design (CAD) drawing files (e.g., DWG). The CRA office continues to maintain the official AP Maps in CAD drawings and Information Systems Department/Geographic Information Systems (ISD/GIS) staff apply updates from these maps to the seamless parcel base in the County’s Enterprise GIS. This layer is a partial view of the Information Sales System (ISS) extract, a report of property characteristics taken from the County’s Megabyte Property Tax System (MPTS). This layer may be missing some attributes (e.g., Owner Name) which may not be published to the Internet due to privacy conditions under the California Public Records Act (CPRA). Please contact the Clerk-Recorder-Assessor (CRA) office at (707) 565-1888 for information on availability, associated fees, and access to other versions of Sonoma County parcels containing additional property characteristics.The seamless parcel layer is updated and published to the Internet on a monthly basis.The seamless parcel layer was developed from the source data using the general methodology outlined below. The mylar sheets were scanned and saved to standard image file format (e.g., TIFF). The individual scanned maps or CAD drawing files were imported into GIS software and geo-referenced to their corresponding real-world locations using high resolution orthophotography as control. The standard approach was to rescale and rotate the scanned drawing (or CAD file) to match the general location on the orthophotograph. Then, appropriate control points were selected to register and rectify features on the scanned map (or CAD drawing file) to the orthophotography. In the process, features in the scanned map (or CAD drawing file) were transformed to real-world coordinates, and line features were created using “heads-up digitizing” and stored in new GIS feature classes. Recommended industry best practices were followed to minimize root mean square (RMS) error in the transformation of the data, and to ensure the integrity of the overall pattern of each AP map relative to neighboring pages. Where available Coordinate Geometry (COGO) & survey data, tied to global positioning systems (GPS) coordinates, were also referenced and input to improve the fit and absolute location of each page. The vector lines were then assembled into a polygon features, with each polygon being assigned a unique identifier, the Assessor Parcel Number (APN). The APN field in the parcel table was joined to the corresponding APN field in the assessor property characteristics table extracted from the MPTS database to create the final parcel layer. The result is a seamless parcel land base, each parcel polygon coded with a unique APN, assembled from approximately 6,000 individual map page of varying scale and accuracy, but ensuring the correct topology of each feature within the whole (i.e., no gaps or overlaps). The accuracy and quality of the parcels varies depending on the source. See the fields RANK and DESCRIPTION fields below for information on the fit assessment for each source page. These data should be used only for general reference and planning purposes. It is important to note that while these data were generated from authoritative public records, and checked for quality assurance, they do not provide survey-quality spatial accuracy and should NOT be used to interpret the true location of individual property boundary lines. Please contact the Sonoma County CRA and/or a licensed land surveyor before making a business decision that involves official boundary descriptions.

Geographic Information System (GIS) Market Outlook

The Geographic Information System (GIS) market is witnessing robust growth with its global market size projected to reach USD 25.7 billion by 2032, up from USD 8.7 billion in 2023, at a compound annual growth rate (CAGR) of 12.4% during the forecast period. This growth is primarily driven by the increasing integration of GIS technology across various industries to improve spatial data visualization, enhance decision-making, and optimize operations. The benefits offered by GIS in terms of accuracy, efficiency, and cost-effectiveness are convincing more sectors to adopt these systems, thereby expanding the market size significantly.

A major growth factor contributing to the GIS market expansion is the escalating demand for location-based services. As businesses across different sectors recognize the importance of spatial data analytics in driving strategic decisions, the reliance on GIS applications is becoming increasingly pronounced. The rise in IoT devices, coupled with the enhanced capabilities of AI and machine learning, has further fueled the demand for GIS solutions. These technologies enable the processing and analysis of large volumes of spatial data, thereby providing valuable insights that businesses can leverage for competitive advantage. In addition, government initiatives promoting the adoption of digital infrastructure and smart city projects are playing a crucial role in the growth of the GIS market.

The advancement in satellite imaging and remote sensing technologies is another key driver of the GIS market growth. With enhanced satellite capabilities, the precision and quality of geospatial data have significantly improved, making GIS applications more reliable and effective. The availability of high-resolution satellite imagery has opened new avenues in various sectors including agriculture, urban planning, and disaster management. Moreover, the decreasing costs of satellite data acquisition and the proliferation of drone technology are making GIS more accessible to small and medium enterprises, further expanding the market potential.

The advent of 3D Geospatial Technologies is revolutionizing the way industries utilize GIS data. By providing a three-dimensional perspective, these technologies enhance spatial analysis and visualization, offering more detailed and accurate representations of geographical areas. This advancement is particularly beneficial in urban planning, where 3D models can simulate cityscapes and infrastructure, allowing planners to visualize potential developments and assess their impact on the environment. Moreover, 3D geospatial data is proving invaluable in sectors such as construction and real estate, where it aids in site analysis and project planning. As these technologies continue to evolve, they are expected to play a pivotal role in the future of GIS, expanding its applications and driving further market growth.

Furthermore, the increasing application of GIS in environmental monitoring and management is bolstering market growth. With growing concerns over climate change and environmental degradation, GIS is being extensively used for resource management, biodiversity conservation, and natural disaster risk management. This trend is expected to continue as more organizations and governments prioritize sustainability, thereby driving the demand for advanced GIS solutions. The integration of GIS with other technologies such as big data analytics, and cloud computing is also expected to enhance its capabilities, making it an indispensable tool for environmental management.

Regionally, North America is currently leading the GIS market, driven by the widespread adoption of advanced technologies and the presence of major GIS vendors. The regionÂ’s focus on infrastructure development and smart city projects is further propelling the market growth. Europe is also witnessing significant growth owing to the increasing adoption of GIS in various industries such as agriculture and transportation. The Asia Pacific region is anticipated to exhibit the highest CAGR during the forecast period, attributed to rapid urbanization, government initiatives for digital transformation, and increasing investments in infrastructure development. In contrast, the markets in Latin America and the Middle East & Africa are growing steadily as these regions continue to explore and adopt GIS technologies.

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This dataset contains the year, area, and type of annexation that has taken place in the City of Gainesville from it's original boundaries established in 1854. This dataset, along with other spatial data, is best viewed as an export to GIS software such as ArcGIS or QGIS. These are the descriptions of the codes on how the property was annexed: A: By an act of the legislature. B: Through a referendum under the Boundary Adjustment Act. C: By the Corporate Limits Council. G: Through a referendum under General Laws. O: Encompasses the original city limits. V: Voluntarily by the property owner.

Basic Viewer is a configurable app template that can be used as a general purpose app for displaying a web map and configuring a variety of tools. This app offers a clean, simple interface that accentuates the web map and includes a toolbar and floating panel.Use CasesDisplays a set of commonly used tools within a floating pane. This is a good choice for balancing the need for a collection of tools while still maximizing the amount of screen real estate dedicated to the map. The app includes the ability to toggle layer visibility, print a map, and show pop-ups in the floating pane.Provides editing capabilities in the context of a general-purpose mapping app. This is a good choice when your audience needs additional tools or information about the map to support their editing activities.Configurable OptionsUse Basic Viewer to present content from a web map and configure it using the following options:Choose a title, sub title, logo, description, and color scheme.Configure a custom splash screen that will display when the app loads.Use custom CSS to customize the look and feel of the app.Enable tools on a toolbar including a basemap gallery, bookmarks, layer list, opacity slider, legend, measure, overview map, etc.Enable an editor tool and an editor toolbar giving users editing capabilities on editable feature layers.Configure a printing tool that can utilize all available print layouts configured in the hosting organization.Configure the ability for feature and location search.Set up custom URL parameters that define how the app and web map appear on load.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

Ravine & Natural Feature Protection area and limit as regulated by City of Toronto Municipal Code Chapter 658 - Ravine & Natural Feature Protection. Please note: Dataset is limited to the City of Toronto geographical boundary. Dataset works best if you open it with GIS/CAD software and reference these layers: City of Toronto Street Centreline, Address Points and Property Boundaries. If your original design drawing has been created without a coordinate system, you will need to reference the city's datasets and then move, scale and/or rotate your data to line up with the property limits for the property you are working with.

In 1997, the Maryland General Assembly approved the Rural Legacy Program as a major component of Governor Glendening's Smart Growth and Neighborhood Conservation Initiative. The purpose of the Rural Legacy Program is to protect Maryland's best remaining rural landscapes and natural areas through the purchase of land or conservation easements. Funds are awarded by grants to sponsors to purchase fee simple interests or easements on property within a Rural Legacy Area. This file consists of properties that have been protected using Rural Legacy funds.The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data. This service, or any portion thereof, can be freely distributed as long as the metadata entry is not modified or deleted. Products must include source citation.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Environment/MD_ProtectedLands/FeatureServer/1

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the... Visit https://dataone.org/datasets/sha256%3A3e3f055bf6281f979484f847d0ed5eeb96143a369592149328c370fe5776742b for complete metadata about this dataset.

DescriptionThe City of Cleveland’s Land Reutilization (Land Bank) Program is designed to acquire vacant land and market it to individuals, developers, and non-profit organizations for redevelopment. The goal is to contribute to the economic, social, and environmental betterment of Cleveland through the redevelopment of City-owned land. Parcels are prescreened in consultation with the Councilperson, local Community Development Corporation, and Planning Commission to ensure the best interests of the public are served. A smaller number of parcel records in this dataset are from the City's Industrial-Commercial Land Bank. For availability and application details, contact the Cleveland Land Bank. This dataset includes all City land bank holdings not under consideration for City programs.This dataset is featured in the following app(s):City Land Bank Inventory Map ViewerData GlossarySee the Attributes section below for details about each column in this dataset.Update FrequencyThis layer is updated weekly from County records based on ownership values.ContactsCity of Cleveland, Community Development, Cleveland Land Bank

This application allows users to view and find properties, valuations, and ownership within Pend Oreille County Washington. The intent is to show approximate boundary line locations for tax parcels within Pend Oreille County Washington. Pend Oreille County does not warrant the accuracy or usefulness of the information shown. This application is intended for informational, general reference, purposes only. The user of this application assumes all responsibility for use thereof. Pend Oreille County is not liable for any consequences resulting from inappropriate use of the information shown. This map consists of the best available information as of the date of publication.

Dataset SummaryAbout this data:This layer displays the Zoning, Preservation Districts, and Overlay Districts for the City of Rochester, NY. What is Zoning?Zoning is the means by which communities regulate the use of land and buildings to protect and promote the quality of life within their boundaries. Zoning regulations are also an important means of implementing the goals of the City’s comprehensive plan. Under the Zoning Code, every city property is located in a specific zoning district and has an established legal use. If there was no Zoning Code, property owners could infringe on one another's use of property; nearby uses could be incompatible; structures could be built too close or too tall; the natural environment could be adversely impacted, and important historical and cultural assets could be lost.Zoning regulations are therefore written to make the best uses of our already built environment; to protect the investments made in properties; and, to promote the development and enjoyment of neighborhoods.The City of Rochester’s zoning regulations were comprehensively revised in 1929, 1957, 1975, and 2003.Zoning Code UpdateThe City is currently in the process of updating its Zoning Code to align with the Rochester 2034 Comprehensive Plan. To learn more about this project and how you can be involved, click here.Zoning Applications and Reviews A Permit application is generally required to initiate a Zoning application and review. Permits are required to establish a use for a property, or to make improvements to it, and may be made by an owner or an individual with a contractual interest in the property, such as a lessee, contractor, or agent.When an application for a Permit is made to the City of Rochester, a zoning review is initiated, and an application for a Certificate of Zoning Compliance (CZC) is opened. Applicants are encouraged to schedule pre-application meetings for their projects as needed.Zoning regulations determine the types of uses and development allowed in each zoning district, as well as many detailed aspects of a development, such as accessory uses, parking, setbacks, screening, landscaping, and to some extent, design. Regulations are found in Chapter 120 of the City Code.Approximately fifteen (15) different types of zoning districts exist in the City of Rochester, each with their own unique set of regulations for uses and development. There are also certain regulations applied city-wide or to specified uses. Click here to learn What's my Zoning.Zoning regulations also identify certain special approval processes that may be required to approve changes to a property. Variances, Special Permits, Certificates of Appropriateness, Site Plan Approvals, and Subdivisions are the most commonly needed types of special approvals. Special approvals sometimes waive requirements written in the Zoning Code.Special ApprovalsSpecial approvals are granted by a public board, a commission, City Council or by the Manager of Zoning. Variances are granted by the Zoning Board of Appeals; Special Permits and Subdivision approvals are granted by the City Planning Commission ; Certificates of Appropriateness are approved by the Rochester Preservation Board; and Zoning text or map amendments are reviewed by the City Planning Commission and approved by City Council. Application forms and meeting schedules are available online for most of these processes.All applications must be reviewed for their possible environmental impacts to our physical, cultural and historical assets. State and local environmental laws, known as "SEQR," enacted first in the 1970's, require specific compliance reviews to ensure that each project or change does not cause any significant adverse impacts to these assets.Zoning ApprovalThe Manager of Zoning must approve all Certificates of Zoning Compliance (CZC). The issuance of a Certificate establishes that a project or proposal complies with and meets all required zoning regulations for the requested approval. It is required before a Building Permit can be issued.Data Dictionary for Zoning Overlay Districts and Preservation Districts: Label: The pop-up text that identifies the district. ZONE_LABEL: The name of the layer. Official Description: The name of the zoning class. BLURB1: A description of the zoning class. LINKTEXT1: Notes if there is a link to the zoning class description. HREF1: A link to the City of Rochester zoning on ecode360 for the given zone label. Data Dictionary for Zoning Districts: Label: The pop-up text that identifies the district. Category: The specific zoning category the district falls into. ZONE_LABEL: The name of the zoning layer. Official Description: The name of the zoning class. BLURB1: A description of the zoning class. LINKTEXT1: Notes if there is a link to the zoning class description. HREF1: A link to the City of Rochester zoning on ecode360 for the given zone label.

This dataset represents all City of Bend permit applications from 1993 to present as well as many historic permit applications from 1990-1993. Applications are generated using tax lot data from the time of submission combined with application attributes derived from City of Bend permitting software. Please note data is updated nightly and subject to change as applications are received and reviewed.Attribute Information:Field Name DescriptionObjectIDFor internal use.GNMasterProjectIDFor internal use.GNCommonIDFor internal use.PR_RecordIDFor internal use.ApplicationNumberThe tracking number for this application in The City of Bend permitting system.ApplicationDateThe date the application was submitted for review. IssueDateThe date the City of Bend issued the permit. If there is an Application Date but no Issue Date, this generally means the application is still under review.DateFinaledThe date the application had all its inspections completed. If there is an Issue Date but not a Date Finaled, this generally means the application is still under construction.SQFTThe estimate square footage of the work being proposed. The estimated square footage (if any) is supplied by the applicant and not verified by the City. UnitsThe number of housing units that will be constructed. Please note units are not verified until permit issuance. Data is subject to change.Affordable HousingIdentifier for permits related to affordable housing projects. OnSewerIdentifier for permits on properties served by City sewer. ProjectValuationThe estimated project cost of the work being proposed based on the fair market value. The estimate cost (if any) represents the best available information and is subject to change. ApplicationTypeThe application type code by category, such as new construction, demolition, renovation, addition, etc. TypeDescThe application type description by category, such as new construction, demolition, renovation, addition, etc. ApplicationStatusThe current status code for the application. Updated nightly. StatusDescThe current status description for the application. Updated nightly. BldgUseThe building use code by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.UseDescThe building use description by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.BuildingCategoryA description of whether the permit is for a residential or non-residential project.DeptCodeThe lead department managing the application review.DepartmentThe lead department managing the application review.OwnerThe owner of the property associated with this permit at the time of application. CensusStructureCodeThe census structure code. Permits for new housing units are classified into US Census Bureau-defined classifications.CensusStructureDescThe census structure description. Permits for new housing units are classified into US Census Bureau-defined classifications.AddressThe site address for the application. Please note if a project includes multiple addresses, only one is visible in this field.LOCIDFor internal use.SITADDIDFor internal use.TAXLOTThe tax lot for the application. Please note if a project includes multiple tax lots, only one is visible in this field.CENTERLINIDFor internal use.LocationFinaledFor internal use.GlobalIDFor internal use.CREATEDBYFor internal use.CREATEDDATEFor internal use.UPDATEDBYFor internal use.LASTUPDATEFor internal use.InfoFinaledFor internal use.OverallStatusFor internal use.Shape.STArea()For internal use.Shape.STLength()For internal use.For questions regarding permit applications, please visit The City of Bend Online Permit Center or call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.

This dataset represents all City of Bend permit applications from 1934 to present, including some historic permits prior to 1993. Data is derived from the City of Bend permitting software and includes all permit records available. Please note data is updated weekly and subject to change as applications are received and reviewed.Attribute Information: Field Name Description

ObjectID For internal use.

GNMasterProjectID For internal use.

GNCommonID For internal use.

PR_RecordID For internal use.

ApplicationNumber The tracking number for this application in The City of Bend permitting system.

ApplicationDate The date the application was submitted for review.

IssueDate The date the City of Bend issued the permit. If there is an Application Date but no Issue Date, this generally means the application is still under review.

DateFinaled The date the application had all its inspections completed. If there is an Issue Date but not a Date Finaled, this generally means the application is still under construction.

SQFT The estimate square footage of the work being proposed. The estimated square footage (if any) is supplied by the applicant and not verified by the City.

Units The number of housing units that will be constructed. Please note units are not verified until permit issuance. Data is subject to change.

Affordable Housing Identifier for permits related to affordable housing projects.

Expedited Identifier for permits under expedited review.

OnSewer Identifier for permits on properties served by City sewer.

ProjectValuation The estimated project cost of the work being proposed based on the fair market value. The estimate cost (if any) represents the best available information and is subject to change.

OldAppType For internal use.

ApplicationType The application type code by category, such as new construction, demolition, renovation, addition, etc.

TypeDesc The application type description by category, such as new construction, demolition, renovation, addition, etc.

ApplicationStatus The current status code for the application. Updated nightly.

StatusDesc The current status description for the application. Updated nightly.

ApplicationDescription The application description.

BldgUse The building use code by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.

UseDesc The building use description by category, such as single family dwelling, duplex, multifamily, commercial or industrial, etc.

BuildingCategory A description of whether the permit is for a residential or non-residential project.

OregonBuildingCodeApplied For internal use.

Proposed Land Use The proposed land use classificaton assoicated with all proposed and existing structures.

DeptCode The lead department managing the application review.

Department The lead department managing the application review.

Owner The owner of the property associated with this permit at the time of application.

CensusStructureCode The census structure code. Permits for new housing units are classified into US Census Bureau-defined classifications.

CensusStructureDesc The census structure description. Permits for new housing units are classified into US Census Bureau-defined classifications.

Address The site address for the application. Please note if a project includes multiple addresses, only one is visible in this field.

LOCID For internal use.

SITADDID For internal use.

TAXLOT The tax lot for the application. Please note if a project includes multiple tax lots, only one is visible in this field.

CENTERLINID For internal use.

LocationFinaled For internal use.

GlobalID For internal use.

InfoFinaled For internal use.

OverallStatus For internal use. For questions regarding planning applications, please visit The City of Bend Online Permit Center or call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.