The Economic Development web map is used to author the Economic Development Experience Builder application. It displays the economic development districts, enterprise zones, industrial areas, economic development zones, Baton Rouge Airport property, and Louisiana Opportunity Zones data in East Baton Rouge Parish, Louisiana.

Polygon geometry with attributes displaying economic development zones in East Baton Rouge Parish, Louisiana.Metadata

This data is used for the planning and management of Washington by local government agencies. To create economic development zones to assist in stimulating the expansion of commercial and industrial businesses, long-term employment, and homeownership in disadvantaged areas of the District and to amend the District of Columbia Real Property Tax Revision Act of 1974, An Act Relating to the levying and collecting of taxes and assessments, and for other purposes, An Act To provide for the abatement of nuisances in the District of Columbia by the Commissioners of said District, and for other purposes, the District of Columbia Public Works Act of 1954, the District of Columbia Income and Franchise Tax Act of 1947, and the Lower Income Home ownership Tax Abatement and Incentive Act of 1983 to make conforming amendments.

New York State Regional Economic Development CouncilsA map service is also available - https://gisservices.its.ny.gov/arcgis/rest/services/Regional_Economic_Development_Councils/MapServerCurrent as of March 2023Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions.

Polygon geometry with attributes displaying economic development districts in East Baton Rouge Parish, Louisiana.

This service contains the following layers: Business Districts, Industrial Parks, Business Parks, and Historically Underutilized Business (HUB) Zones.

These data sets were created as part of The Center for International Development’s ongoing research into the role of geography in economic development (see www.cid.harvard.edu/economic.htm). They have been created between 1998 and 1999.

This repository contains the geographical data used in the GeoStats Python package.

The data is to be used ONLY with the package. MAKE sure to cite all sources listed in the README file and follow their licenses.

Data on the true and full value determination (FVD) of all personal and real property in Alaska municipalities. The FVD is utilized in calculating the require local contributions that some municipalities have to pay in order to fund their local school districts.Source: Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs, Office of the State Assessor

The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind developmentAttributes: Steeply sloped areas: change in vertical elevation compared to horizontal distancePopulation density: the number of people living in a 1 km2 area Urban areas: defined by the U.S. Census. Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool Major highways: available from ESRI Living Atlas Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool Active mines: Active Mines and Mineral Processing Plants in the United States in 2003Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center, or installation. Table 1 Wind Steeply sloped areas >10o Population density >100/km2 Capacity factor <20% Urban areas <1000 m Water bodies <250 m Railways <250 m Major highways <125 m Airports <5000 m Active mines <1000 m Military Lands <3000m For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes. Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cyclesFootnotes:[1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf[2] https://greeningthegrid.org/Renewable-Energy-Zones-Toolkit/topics/social-environmental-and-other-impacts#ReadingListAndCaseStudies[3] Multi-Criteria Analysis for Renewable Energy (MapRE), University of California Santa Barbara. https://mapre.es.ucsb.edu/[4] Larson, E. et. al. “Net-Zero America: Potential Pathways, Infrastructure, and Impacts, Interim Report.” Princeton University, 2020. https://environmenthalfcentury.princeton.edu/sites/g/files/toruqf331/files/2020-12/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf.[5] Wu, G. et. al. “Low-Impact Land Use Pathways to Deep Decarbonization of Electricity.” Environmental Research Letters 15, no. 7 (July 10, 2020). https://doi.org/10.1088/1748-9326/ab87d1.[6] RETI Coordinating Committee, RETI Stakeholder Steering Committee. “Renewable Energy Transmission Initiative Phase 1B Final Report.” California Energy Commission, January 2009.[7] Pletka, Ryan, and Joshua Finn. “Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report.” Black & Veatch and National Renewable Energy Laboratory, 2009. https://www.nrel.gov/docs/fy10osti/46877.pdf.[8]https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2019&layergroup=Urban+Areas[9]https://ezmt.anl.gov/[10]https://www.arcgis.com/home/item.html?id=fc870766a3994111bce4a083413988e4[11]https://mrdata.usgs.gov/mineplant/Credits Title: Techno-economic screening criteria for utility-scale wind energy installations for Integrated Resource Planning Purpose for creation: These site suitability criteria are for use in electric system planning, capacity expansion modeling, and integrated resource planning. Keywords: wind energy, resource potential, techno-economic, IRP Extent: western states of the contiguous U.S. Use Limitations The geospatial data created by the use of these techno-economic screens inform high-level estimates of technical renewable resource potential for electric system planning and should not be used, on their own, to guide siting of generation projects nor assess project-level impacts.Confidentiality: Public ContactEmily Leslie Emily@MontaraMtEnergy.comSam Schreiber sam.schreiber@ethree.com Jared Ferguson Jared.Ferguson@cpuc.ca.govOluwafemi Sawyerr femi@ethree.com

Alaska economic regions based on 2013 borough and census area geography. Boundaries are determined by the Alaska Department of Labor & Workforce Development. For more information, see Alaska Department of Labor Maps & GISThis 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.

GIS Data Management Market Outlook

The global GIS Data Management market size is projected to grow from USD 12.5 billion in 2023 to USD 25.6 billion by 2032, exhibiting a CAGR of 8.4% during the forecast period. This impressive growth is driven by the increasing adoption of geographic information systems (GIS) across various sectors such as urban planning, disaster management, and agriculture. The rising need for effective data management systems to handle the vast amounts of spatial data generated daily also significantly contributes to the market's expansion.

One of the primary growth factors for the GIS Data Management market is the burgeoning demand for spatial data analytics. Businesses and governments are increasingly leveraging GIS data to make informed decisions and strategize operational efficiencies. With the rapid urbanization and industrialization worldwide, there's an unprecedented need to manage and analyze geographic data to plan infrastructure, monitor environmental changes, and optimize resource allocation. Consequently, the integration of GIS with advanced technologies like artificial intelligence and machine learning is becoming more prominent, further fueling market growth.

Another significant factor propelling the market is the advancement in GIS technology itself. The development of sophisticated software and hardware solutions for GIS data management is making it easier for organizations to capture, store, analyze, and visualize geographic data. Innovations such as 3D GIS, real-time data processing, and cloud-based GIS solutions are transforming the landscape of geographic data management. These advancements are not only enhancing the capabilities of GIS systems but also making them more accessible to a broader range of users, from small enterprises to large governmental agencies.

The growing implementation of GIS in disaster management and emergency response activities is also a critical factor driving market growth. GIS systems play a crucial role in disaster preparedness, response, and recovery by providing accurate and timely geographic data. This data helps in assessing risks, coordinating response activities, and planning resource deployment. With the increasing frequency and intensity of natural disasters, the reliance on GIS data management systems is expected to grow, resulting in higher demand for GIS solutions across the globe.

Geospatial Solutions are becoming increasingly integral to the GIS Data Management landscape, offering enhanced capabilities for spatial data analysis and visualization. These solutions provide a comprehensive framework for integrating various data sources, enabling users to gain deeper insights into geographic patterns and trends. As organizations strive to optimize their operations and decision-making processes, the demand for robust geospatial solutions is on the rise. These solutions not only facilitate the efficient management of spatial data but also support advanced analytics and real-time data processing. By leveraging geospatial solutions, businesses and governments can improve their strategic planning, resource allocation, and environmental monitoring efforts, thereby driving the overall growth of the GIS Data Management market.

Regionally, North America holds a significant share of the GIS Data Management market, driven by high technology adoption rates and substantial investments in GIS technologies by government and private sectors. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapid urbanization, economic development, and increasing adoption of advanced technologies in countries like China and India are major contributors to this growth. Governments in this region are also focusing on smart city projects and infrastructure development, which further boosts the demand for GIS data management solutions.

Component Analysis

The GIS Data Management market is segmented by component into software, hardware, and services. The software segment is the largest and fastest-growing segment, driven by the continuous advancements in GIS software capabilities. GIS software applications enable users to analyze spatial data, create maps, and manage geographic information efficiently. The integration of GIS software with other enterprise systems and the development of user-friendly interfaces are key factors propelling the growth of this segment. Furthermore, the rise of mobile GIS applications, which allow field data collectio

Explore the spatial patterns of the Human Development Index (HDI) to identify regional pat- terns and causal factors in the data. The GeoInquiry activity is available here.Educational standards addressed:APHG: VI:B2 Analyze spatial patterns of social and economic development – GNI per capita. APHG: VI:B1 Explain social and economic measures of development – HDI, Gender Inequali- ty Index (GII), Total Fertility Rate (TRF).APHG: VI:B6 Social and economic measures of development — Changes in fertilityand mortalityThis map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

A representation of the various programs the City offers to help with economic development. The Neighborhood Empowerment Zone and the Iturbide "IT" Street programs are managed by the Building Development Services Department. They provide incentives for new construction or renovations for projects located within the area. Please contact them for more information regarding requirements. The Downtown Tax Increment Reinvestment Zone is another program that is managed by the City Managers / Economic Development Offices. Please contact them for more information.

Historical unemployment rate data along with preliminary data which is the most current available. Data are revised every month for the previous month and again at the end of every calendar year. This data is at the statewide level. Source: Alaska Department of Labor

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: https://laborstats.alaska.gov/

Economic Development Overlays

This dataset includes boundary information for the Virginia Enterprise Zone (VEZ) program. Businesses located in an Enterprise Zone may qualify for various incentives. The VEZ program is administered by the Virginia Department of Housing and Community Development and the geographic data is maintained by the Virginia Economic Development Partnership.Note: The layer will be updated with amended boundaries as they are approved by the Department of Housing and Community Development and shared with VEDP. Local administrators are the ultimate owners of their locality's zone boundaries. This is not an official data source.Additional Resources:Virginia Department of Housing and Community DevelopmentVirginia's Guide to Incentives

VEDP maintains a statewide clearinghouse of available commercial properties that are currently being marketed by localities, partners, and VEDP itself. This dataset includes the boundaries of the Sites (acreage properties) that currently appear in our Sites & Buildings Search.

This dataset is live and will include updates as they are made.

The global Spatial Information Service market, valued at $3360 million in 2025, is projected to experience robust growth, driven by increasing urbanization, the proliferation of smart cities initiatives, and the rising adoption of location-based services across various sectors. A compound annual growth rate (CAGR) of 12.8% from 2025 to 2033 signifies significant market expansion. Key growth drivers include the increasing demand for precise geospatial data for infrastructure development, precision agriculture, environmental monitoring, and disaster management. Furthermore, advancements in technologies such as cloud computing, AI, and IoT are enabling the development of sophisticated and efficient spatial information services, further fueling market expansion. The market is segmented by application (city, rural, others) and type (cloud-based, on-premises, others). Cloud-based solutions are witnessing higher adoption due to their scalability, cost-effectiveness, and accessibility. The North American market currently holds a substantial share, driven by strong technological advancements and robust government investments in geospatial technologies. However, the Asia-Pacific region is poised for significant growth, fueled by rapid urbanization and economic development in countries like China and India. While the market faces restraints such as data security concerns and the high cost of implementation for some solutions, the overall growth trajectory remains positive, presenting lucrative opportunities for established players like Esri, Hexagon AB, and Trimble, as well as emerging innovative companies. The competitive landscape is characterized by a blend of established players and emerging technology providers. Established companies leverage their extensive data libraries and experience to offer comprehensive solutions. New entrants are focusing on niche applications and innovative technologies, such as advanced analytics and AI-powered insights from geospatial data. The market is witnessing increased partnerships and collaborations to expand service offerings and tap into new market segments. Regional variations in market growth are primarily influenced by factors such as technological adoption rates, government regulations, and economic development. Future growth will likely be driven by the expanding use of spatial data analytics for improved decision-making across various industries, fostering a surge in demand for sophisticated and reliable spatial information services. Continued technological innovation and strategic partnerships will be crucial for success in this dynamic market.

In this edition we spotlight how Economic Development has leveraged the power of GIS across their department. We also share exciting news about updates to aerial imagery, highlight upcoming training opportunities, and discuss how the City's Open Data Portal can be used for sharing more than just GIS Data.