Table contains count and percentage of county residents ages 16 and older who work in construction industry. Data are presented at county, city, zip code and census tract level. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table S2403; data accessed on July 20, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographyt_16plus (Numeric): Population ages 16 years and olderconstruction (Numeric): Number of workers in construction industrypct_construct (Numeric): Percent of workers in construction industry

Building. The dataset contains polygons representing planimetric buildings, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 1999 and updated in 2005, 2008, and 2010. The following planimetric layers were updated: - Building Polygons (BldgPly) - Bridge and Tunnel Polygons (BrgTunPly) - Horizontal and Vertical Control Points (GeoControlPt) - Obscured Area Polygons (ObsAreaPly) - Railroad Lines (RailRdLn) - Road, Parking, and Driveway Polygons (RoadPly) - Sidewalk Polygons (SidewalkPly) - Wooded Areas (WoodPly) Two new layers were added: - Basketball and Other Recreation Courts (RecCourtPly) - Wheelchair Ramps (TransMiscPt).

The Major Ongoing & Proposed Developments Report provides key insights and highlights of the major developments and construction projects in Tallahassee and Leon County Major projects in this report are defined as including 20+ residential units and/or 10,000 square feet of non-residential. This report illustrates that the local economy is well positioned for continued economic growth.If you have questions please contact the Tallahassee-Leon County Office of Economic Vitality, Research & Business Analytics Division at (850) 219-1060.

A line feature class of the Coastal Construction Control line along the shoreline that runs from Golden Beach (Broward County Line) to Key Biscayne.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured.Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet.Memorials are delineated around a roof line showing the building "footprint."Bleachers are delineated around the base of connected sets of bleachers.Parking Garages are delineated at the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings.Fountains are delineated around the base of fountain structures.

The global construction mapping services market is experiencing robust growth, driven by the increasing adoption of advanced technologies like drones, LiDAR, and GIS in the construction industry. The market's expansion is fueled by the need for precise and efficient site surveying, improved project planning and management, enhanced safety protocols, and reduced project costs and delays. Several key trends are shaping the market: the rising preference for 3D modeling and digital twins for better visualization and coordination, the integration of Building Information Modeling (BIM) with mapping data for seamless workflows, and the increasing demand for real-time data acquisition and analysis for informed decision-making. The market is segmented by surveying type (aerial and terrestrial) and application (before, during, and after construction). Aerial surveying, particularly using drones, is gaining significant traction due to its cost-effectiveness, speed, and ability to capture detailed data from challenging terrains. The "during construction" application segment is witnessing strong growth as contractors leverage mapping data to monitor progress, identify potential issues, and ensure compliance with project specifications. While the market exhibits substantial growth potential, certain restraints exist. High initial investment costs associated with acquiring and maintaining sophisticated equipment can be a barrier to entry for smaller firms. Data security and privacy concerns related to handling sensitive project information also pose challenges. Furthermore, regulatory hurdles and the need for skilled professionals proficient in data processing and interpretation can impact market growth in some regions. However, ongoing technological advancements and increasing government investments in infrastructure projects are expected to mitigate these restraints. The competition is intense, with both large multinational corporations and specialized surveying firms vying for market share. The market is geographically diverse, with North America and Europe currently holding significant shares but the Asia-Pacific region showing the strongest growth potential due to rapid urbanization and infrastructure development. By 2033, the market is projected to achieve substantial expansion, driven by continuous advancements in technology and the increasing reliance on data-driven decision-making within the construction sector. We estimate the market to reach a value of approximately $15 billion by 2033 assuming a conservative CAGR of 8%, considering the growth factors and restraints.

This feature class includes an inventory of streets that are currently under going initial construction within the City of Lynchburg. Features are drawn down the centerline of a street segment. This feature class does not include data on planned, paper, or completed streets. Please see the Transportation group of the Open Data Portal for more street data.

A conference paper describing GIS tools developed in support of the blast loss estimation capability for the Australian Reinsurance Pool Corporation. The paper focus is on GIS tools developed for: exposure database construction and integration of a number of datasets including 3D building geometry

Computer generated buiilding footprints for Maryland. The methodology for the generation of the building footprints can be found at: https://github.com/Microsoft/USBuildingFootprints. These building footprints should be used a reference only and the geometries are not considered accurate enough to provide detailed estimates related to their location, area, or associated attributes.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Layer Link:https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_BuildingFootprints/MapServer

NYS Building Footprints - metadata info:The New York State building footprints service contains building footprints with address information. The footprints have address point information folded in from the Streets and Address Matching (SAM - https://gis.ny.gov/streets/) address point file. The building footprints have a field called “Address Range”, this field shows (where available) either a single address or an address range, depending on the address points that fall within the footprint. Ex: 3860 Atlantic Avenue or Ex: 32 - 34 Wheatfield Circle Building footprints in New York State are from four different sources: Microsoft, Open Data, New York State Energy Research and Development Authority (NYSERDA), and Geospatial Services. The majority of the footprints are from NYSERDA, except in NYC where the primary source was Open Data. Microsoft footprints were added where the other 2 sources were missing polygons. Field Descriptions: NYSGeo Source : tells the end user if the source is NYSERDA, Microsoft, NYC Open Data, and could expand from here in the futureAddress Point Count: the number of address points that fall within that building footprintAddress Range : If an address point falls within a footprint it lists the range of those address points. Ex: if a building is on a corner of South Pearl and Beaver Street, 40 points fall on the building, and 35 are South Pearl Street it would give the range of addresses for South Pearl. We also removed sub addresses from this range, primarily apartment related. For example, in above example, it would not list 30 South Pearl, Apartment 5A, it would list 30 South Pearl.Most Common Street : the street name of the largest number of address points. In the above example, it would list “South Pearl” as the most common street since the majority of address points list it as the street. Other Streets: the list of other streets that fall within the building footprint, if any. In the above example, “Beaver Street” would be listed since address points for Beaver Street fall on the footprint but are not in the majority.County Name : County name populated from CIESINs. If not populated from CIESINs, identified by the GSMunicipality Name : Municipality name populated from CIESINs. If not populated from CIESINs, identified by the GSSource: Source where the data came from. If NYSGeo Source = NYSERDA, the data would typically list orthoimagery, LIDAR, county data, etc.Source ID: if NYSGeo Source = NYSERDA, Source ID would typically list an orthoimage or LIDAR tileSource Date: Date the footprint was created. If the source image was from 2016 orthoimagery, 2016 would be the Source Date. Description of each footprint source:NYSERDA Building footprints that were created as part of the New York State Flood Impact Decision Support Systems https://fidss.ciesin.columbia.edu/home Footprints vary in age from county to county.Microsoft Building Footprints released 6/28/2018 - vintage unknown/varies. More info on this dataset can be found at https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data.NYC Open Data - Building Footprints of New York City as a polygon feature class. Last updated 7/30/2018, downloaded on 8/6/2018. Feature Class of footprint outlines of buildings in New York City. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.mdSpatial Reference of Source Data: UTM Zone 18, meters, NAD 83. Spatial Reference of Web Service: Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere.

An Esri File Geodatabase containing 2023 footprints for buildings in Cuyahoga County, Ohio.The features were created using orthophotography captured during the spring of 2023. It includes all identified structures with a footprint of at least 100 square feet.Please note that buildings in dense areas (such as Downtown Cleveland) may be combined with neighboring buildings to form one footprint.A hosted feature service containing this data is also available.

Area layers of US, Australia, and Canada building footprints for use with GIS mapping software, databases, and web applications.

Displays data from CGDB.BLDG2012_PLGN. The layer will not display when zoomed out beyond 1,799. BP99_TYPE_CODE DESCRIPTION BLD Building DEK Deck GAR Garage MSC Miscellaneous OBS Obscured PAT Patio UNK Unknown U_C Under Construction Static data layer, no updates.

GDB Version: ArcGIS Pro 3.3Additional Resources:Shapefile DownloadREST EndpointBuilding footprints are polygon outlines of structures remotely rendered through digitizing of Virginia Base Mapping Program’s digital ortho-photogrammetry imagery, or digitizing of local government subdivision plats. VBMP building footprints are a collection of locally submitted data and as published from the Virginia Geographic Information Network carry no addressing, nor is there any ownership, resident information, or construction specifications provided. VBMP building footprints are not assumed to be of survey quality and carry no guarantees as to accuracy. Even with these restrictions building outlines are a valuable resource for emergency response operations and for community planning. Currently the Virginia Base Mapping Program’s collection of building footprints consists of over 4 million structures. Data input from localities are processed and published quarterly. To date the majority of Virginia’s localities building footprints have been captured but not all.

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GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth due to the integration of Building Information Modeling (BIM) software and GIS, enabling more accurate and efficient construction projects. The increasing adoption of GIS solutions in precision farming for soil and water management is another key trend, with farmers utilizing sensors, GPS, and satellite data to optimize fertilizer usage and crop yields. However, challenges persist, such as the lack of proper planning leading to implementation failures of GIS solutions. In the realm of smart cities, GIS plays a crucial role in managing data from various sources, including LIDAR, computer-aided design, and digital twin technologies. Additionally, public safety and insurance industries are leveraging GIS for server-based data analysis, while smartphones and antennas facilitate real-time data collection. Amidst this digital transformation, ensuring data security and privacy becomes paramount, making it a critical consideration for market participants.

What will be the Size of the GIS Market During the Forecast Period?

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The Global Geographic Information System (GIS) market encompasses a range of software solutions and hardware components used to capture, manage, analyze, and visualize geospatial data. Key industries driving market growth include transportation, smart city planning, green buildings, architecture and construction, utilities, oil and gas, agriculture, and urbanization. GIS technology plays a pivotal role in various applications such as 4D GIS software for infrastructure project management, augmented reality platforms for enhanced visualization, and LIDAR and GNSS/GPS antenna for accurate location data collection. Cloud technology is transforming the GIS landscape by enabling real-time data access and collaboration. The transportation sector is leveraging GIS for route optimization, asset management, and predictive maintenance.
Urbanization and population growth are fueling the demand for GIS in city planning and disaster management. Additionally, GIS is increasingly being adopted in sectors like agriculture for precision farming and soil mapping, and in the construction industry for Building Information Modeling (BIM). The market is also witnessing the emergence of innovative applications in areas such as video games and natural disasters risk assessment. Mobile devices are further expanding the reach of GIS, making it accessible to a wider audience. Overall, the market is poised for significant growth, driven by the increasing need for data-driven decision-making and the integration of geospatial technology into various industries.

How is this GIS Industry segmented and which is the largest segment?

The gis industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Middle East and Africa

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

The market encompasses desktop, mobile, cloud, and server software solutions, catering to various industries. Open-source software with limited features poses a challenge due to the prevalence of counterfeit products. Yet, the market witnesses an emerging trend toward cloud-based GIS software adoption. However, standardization and interoperability concerns hinder widespread adoption. Geospatial technology is utilized extensively in sectors such as Transportation, Utilities, Oil and Gas, Agriculture, and Urbanization, driven by population growth, urban planning, and sustainable development. Key applications include smart city planning, green buildings, BIM, 4D GIS software, augmented reality platforms, GIS collectors, LIDAR, and GNSS/GPS antennas. Cloud technology, mobile devices, and satellite imaging are critical enablers.

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The software segment was valued at USD 5.06 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 38% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during th

This is a line dataset that delineates the extent of State Water Project construction divisions. The locations of the construction divisions were derived from DWR records.This dataset is current as of 3/20/2024.

The purpose of this dataset is to show the building shape and building locations within the state of Oregon. The building footprints contain attributes to document source information and for ease of updates. https://ftp.gis.oregon.gov/framework/Preparedness/SBFO_v1.zip

This feature class GIS dataset contains building footprints depicting building shape and location in the state of Oregon. All contributing datasets were compiled into the stateside dataset. Static datasets or infrequently maintained datasets were reviewed for quality. New building footprint data were reviewed and digitized from the Oregon Statewide Imagery Program 2017 and 2018.

Buildings_BACI

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Buildings, structures, ruins, storage tanks, silos, water towers, Baltimore City Planimetric, Biophysical Resources, Land, Socio-Economic Resources, Capital




   Summary


   This data was created as a landbase feature as part of the planimetric data.


   Description


   This dataset represents photogrammetrically captured Building footprints => 100sq. ft. including storage tanks, silos, water towers, power plants, substations, and structures under construction and ruins. Feature capture rules:


   Buildings - Outline edge of roofline. All buildings shall be captured as polygons. In commercial areas especially, it is important that the plotted building represent the face of the building where it meets the sidewalk. Polygons shall be created for the outer boundary of the building when a partywall exists. Does not include sheds and small temporary structures. Attached garages shall be represented as part of the building structure. Large structures such as stadiums shall also be represented.

   Structures under construction or demolition - Delineate the rooflines of all buildings under construction as interpreted from aerial photography. If roofline is not visible compile visible foundation or walls

   Ruins - Delineate old overgrown areas of old structures that have been demolished or are in disrepair. Original data will be reclassified to define as separate subtype.

   Storage tanks, silos, and water towers - Outlines of all storage tanks, silos and water towers. . Original data will be reclassified to define as separate subtype.

   Power plants and substations - Outline of power plant and substation structure. . Original data will be reclassified to define as separate subtype.


   Credits

   There are no credits for this item.


   Use limitations


   Every reasonable effort has been made to ensure the accuracy of these data. The City of Baltimore, Maryland makes no representations nor warranties, either express or implied, regarding the accuracy of this information or its suitability for any particular purpose whatsoever. The data is licensed "as is" and the City of Baltimore will not be liable for its use or misuse by any party. Reliance of these data is at the risk of the user.


   Extent



   West -76.714715  East -76.525355 

   North 39.375162  South 39.193953 




   Scale Range

   There is no scale range for this item.

Building Footprint lines exported from the CIty's GIS. See summary description (txt) file for information about intended use, projection, currency, attributes, etc.

This map data layer represents the building footprint line work for the City of Bloomington, Indiana. It was created and updated from aerial photography. Updates are made for significant structures as needed from digitized development plan approvals until the next aerial flyover. It contains building structures including mobile homes, garages, canopies, tanks and silos and known underground building features.

The City of Saint Paul's Department of Safety and Inspections requires homeowners or licensed contractors to obtain a building permit before the following changes are made on one or two-family residences, multi-family residences, or buildings for commercial, industrial, or institutional use:Building a new structureAdding an addition to current structureRemodeling or repairing a structureFor more information about the requirements and the application process, please visit: https://www.stpaul.gov/departments/safety-inspections/building-and-construction/construction-permits-and-inspections/building-permits-inspections Note: We have identified an issue with the time-related data in our datasets. The times are displayed correctly as Central time when viewing the data in the City’s open information portal. Upon downloading or exporting the data, any date/time columns are converted to Coordinated Universal Time (UTC). This results in the times getting converted to of either 5 hours (during Daylight savings time) or 6 hours (for Standard time) ahead of our Central time.

To correct this issue, determine if it is Standard time or Daylight Savings time. Central Daylight Time (CDT) runs from the second Sunday in March to the first Sunday in November. Central Standard Time (CST) is the remainder of the year. If it is CDT, subtract 5 hours from UTC time and if it is CST, then subtract 6 hours. This issue comes from the ESRI platform and is unable to be modified at this time.