[Metadata] Medically Underserved Areas/Populations (MUA/P) for the State of Hawaii as of March 2025. Source: US Health Resources and Services Administration (HRSA). Downloaded by the Hawaii State GIS Program from the Federal Health Resources and Services Administrations (HRSA) website, 3/10/25 (https://data.hrsa.gov/data/download). These data describe geographic areas and populations with a lack of access to primary care health services. Medically Underserved Areas (MUAs) may be a whole county or a group of contiguous counties, a group of county or civil divisions or a group of urban census tracts in which residents have a shortage of personal health services. Medically Underserved Populations (MUPs) may include groups of persons who face economic, cultural or linguistic barriers to health care. HRSA's Bureau of Health Workforce develops shortage designation criteria and uses them to decide whether or not a geographic area or population group is a MUA or MUP.For more information about this layer and attribute values and meanings please see https://files.hawaii.gov/dbedt/op/gis/data/mua_medically_underserved_areas.pdf or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Access to primary healthcare services within a defined geographic area, and facing social or economic barriers, 2020.Source: Health Resources and Services Administration (HRSA). 2020.

Environmental justice metrics in the Narragansett Bay region at the U.S. Census "block group" scale. Data from the U.S. EPA EJSCREEN (EPA 2023) is supplemented with data from CDC PLACES, NLCD, First Street Foundation, and NOAA. State and regional percentiles were calculated for each indicator. This data is intended for general planning, graphic display, and GIS analysis.

GIS in Telecom Sector Market Outlook

The global GIS in telecom sector market size was valued at approximately USD 1.7 billion in 2023 and is projected to reach USD 4.5 billion by 2032, growing at a CAGR of 11.5% during the forecast period. This substantial growth is driven by the increasing demand for advanced mapping and analysis tools in the telecom industry, which plays a crucial role in enhancing network performance, managing assets, and optimizing location-based services. The rapid technological advancements in geospatial data processing and the increasing integration of GIS with IoT, 5G, and AI technologies further contribute to the market’s expansion.

The growth factors for the GIS in telecom sector market are multifaceted and robust. The primary driver is the rising demand for enhanced customer experience and network efficiency, which GIS technology offers through precise mapping and real-time data analytics. Telecom operators are increasingly adopting GIS to optimize their network management processes, reduce operational costs, and improve service delivery. Additionally, the burgeoning demand for location-based services and the growing utilization of GIS in planning and deploying 5G networks are significant contributors to market growth. These applications are essential for telecom companies seeking to expand their networks and enhance connectivity, especially in rural and underserved areas.

The integration of GIS with emerging technologies such as IoT and AI is also a critical growth driver in this market. As telecom companies strive to offer more personalized and efficient services, the role of GIS in analyzing large volumes of geospatial data becomes vital. This integration facilitates better decision-making processes, enabling telecom operators to tailor their services according to specific geographic and demographic needs. Furthermore, GIS technology provides significant cost benefits by optimizing asset management and ensuring more efficient use of resources, which is increasingly appealing in a competitive market landscape.

Another growth factor is the increasing regulatory mandates and policies aimed at improving telecom infrastructure. Governments across the globe are investing heavily in modernizing telecom networks, and GIS plays a crucial role in these initiatives. By providing comprehensive spatial data and analytics, GIS technology assists in the strategic planning and deployment of telecom infrastructure, ensuring compliance with regulatory standards. Moreover, the rise in smart city projects, which rely heavily on advanced telecom networks, further propels the demand for GIS solutions in the telecom sector.

Regionally, North America dominates the GIS in telecom sector market due to its early adoption of advanced technologies and significant investments in telecom infrastructure. The presence of major telecom companies and technology providers also contributes to the region's leading position. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid expansion of telecom networks and the increasing focus on digital transformation initiatives. Emerging economies in this region are investing heavily in 5G deployment and smart city projects, which boost the demand for GIS solutions. Europe and Latin America also present significant opportunities for market growth, with ongoing investments in network modernization and digital infrastructure development.

Component Analysis

The GIS in telecom sector market is segmented into software, hardware, and services, each playing a pivotal role in the industry’s development. The software segment, which includes GIS mapping and analytics tools, is expected to hold the largest market share. This is attributed to the increasing demand for advanced software solutions that enable telecom operators to analyze geospatial data for network optimization and strategic planning. The continuous evolution of software capabilities, such as real-time analytics and cloud-based services, further propels the demand for GIS software in the telecom sector.

Hardware components, which include GPS devices, GNSS receivers, and other geospatial data collection tools, are crucial for data acquisition in GIS applications. Although this segment may not be as large as the software segment, its importance cannot be overstated. Advances in hardware technology have significantly improved data accuracy and processing speeds, enabling telecom companies to efficiently collect and analyze large volumes of geospatial data. The increasing integration of these hardwar

Environmental justice indicators and NBEP designated priority areas in the Narragansett Bay region at the U.S. Census block group scale. Scores were calculated using the Narragansett Bay Estuary Program EJMAP tool (NBEP 2023). This dataset is intended for general planning, graphic display, and GIS analysis.

This dataset was developed by the Missouri Department of Health and Senior Services. Rural Clinics are outpatient facilities that provide services to medically underserved populations. Rural clinics must be located in an area defined by the US Bureau of the Census as non-urbanized. An urbanized area is defined as "a densely settled territory that contains 50,000 or more people" by the Bureau. March 2020 Update.

This indicator provides information about health professional shortage areas (HPSAs) for primary care services as determined by the federal Health Resources and Services Administration (HRSA). Each designated area includes multiple census tracts.HPSAs can be geographic areas, populations, or health care facilities that have been designated as having a shortage of health professionals. Geographic HPSAs have a shortage of providers for an entire population in a defined geographic area. Population HPSAs have a shortage of providers for a subpopulation in a defined geographic area, such as low-income populations, people experiencing homelessness, and migrant farmworker populations. In Los Angeles County, facility HPSAs include:•Federally Qualified Health Centers (FQHCs); •FQHC Look-A-Likes (LALs); •Indian Health Service, Tribal Health, and Urban Indian Health Organizations; •correctional facilities; • and some other facilities. For these indicators, we include HPSAs in Los Angeles County with statuses listed as “Designated” or “Proposed for Withdrawal” (but not withdrawn yet). Due to the nature of the designation process, a census tract may be designated as any combination of geographic and population HPSAs and three categories of care (i.e., primary, dental, and mental health care). Facility HPSAs may also cover multiple types of care.State Primary Care Offices submit applications to HRSA to designate certain areas within counties as HPSAs for primary care, dental, and mental health services. HRSA’s National Health Service Corps calculates HPSA scores to determine priorities for assignment of clinicians. The scores range from 0 to 25 for primary care, where higher scores indicate greater priority. All HPSA categories shared three scoring criteria: (1) population-to-provider ratio, (2) percent of population below 100% of the Federal Poverty Level, and (3) travel time to the nearest source of care outside the HPSA designation area. Each category also has additional criteria that go into the scores. Specifically, primary care HPSA scoring includes the infant health index, which awards points based on infant mortality rate and low birth weight rate. Note: if an area is not designated as an HPSA, it does not mean it is not underserved, only that an application has not been filed for the area and that an official designation has not been given.HPSA designations help distribute participating health care providers and resources to high-need communities.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

In September 2020, the Loudoun County Board of Supervisors directed staff to document telecommunication projects completed, in-progress, and future projects, using the 2014 Wireless GAP Analysis and the Segra Dark Fiber Area Network. Staff mapped the data identified by the Board, as well as other information related to telecommunication projects. This information was then used to identify select unserved or underserved geographic areas of the county.The companion interactive map allows the user to turn on or off all layers used in the project.

The Waterproofing Data project explored how to build communities’ resilience to flooding by engaging them in generating the data used to predict when floods will occur. The project team developed a functional citizen-science mobile app prototype and a model school curriculum, which has been successfully co-produced and trialled with more than 300 students from over 20 schools and civil protection agencies of five Brazilian states (Acre, Mato Grosso, Pernambuco, Santa Catarina and Sao Paulo). The app and curriculum enabled the communities involved to democratise flood data, raise awareness of flood risks, and co-design new initiatives to reduce disaster risks to communities. The project invited participants to co-create geospatial data that describes the perceived areas in which flooding impacted their territory. Through this process, the team sought to enhance knowledge about floods among those engaged with the project.

This dataset showcases participatory maps of three flood-prone neighbourhoods in Brazil. The maps were co-created and evaluated with the help of community members and school students living in underserved areas. Data was generated using the SketchMap tool https://sketch-map-tool.heigit.org. The tool supported i) printing paper maps of the neighbourhoods, ii) participants' drawings with the areas they perceived flooding risks, and iii) digitising those areas in a format suitable for GIS and cartography. The purpose of this process was to gather input from locals and identify areas that are prone to flooding in the two neighbourhoods. The process minimised personal data collection while the final map shows aggregated data that prevent linking data with the persons who provide it.

Initial prints, participant’s notes, and some final maps have Portuguese texts.

The dashboard app shows homeless service requests in the city of Dallas with closed and open/in progress status in 30 days roll back.Click here to view the dashboard:

https://arcg.is/XSmLS

This application is fed by this map: https://dallasgis.maps.arcgis.com/home/item.html?id=8e18143be28a43959d34f8037afffeb9The dashboard application provides a comprehensive overview of homeless service requests within the city of Dallas. It visualizes key data, such as the type and volume of requests, their geographic distribution across the city, and timelines for when they were submitted. This tool enables city officials, organizations, and stakeholders to track trends, identify hotspots or underserved areas, and allocate resources efficiently to address homelessness. Additionally, the dashboard may include filters and interactive features, allowing users to analyze specific timeframes, neighborhoods, or request types for a deeper understanding of the challenges and needs faced by the community.

GIS Application built for SPR Recreation Divisional staff to perform map analyses with a focus on programming site prioritization and activation based on equity, access, and RSJI.

The global geofencing software market, valued at $3244.5 million in 2025, is poised for significant growth. While the precise CAGR is unavailable, considering the rapid adoption of location-based services across various sectors like marketing, tourism, and HR, a conservative estimate places the CAGR between 15% and 20% for the forecast period (2025-2033). Key drivers include the increasing need for targeted advertising, enhanced customer experience, improved operational efficiency, and stringent asset tracking requirements. The market is segmented by deployment type (web-based and mobile apps) and application (marketing teams, tourism, HR, and building zoning), each exhibiting unique growth trajectories. Web-based solutions currently dominate, but mobile app adoption is rapidly catching up due to ease of access and integration with existing mobile infrastructure. The marketing and tourism sectors are currently the largest consumers of geofencing technology, leveraging its capabilities for personalized campaigns and location-based services. However, the HR and building zoning sectors present significant untapped potential, with future growth expected from increased adoption of smart building technologies and location-aware workforce management solutions. Major market restraints include concerns around data privacy and security, and the need for robust and reliable infrastructure to support location-based services in remote or underserved areas. The competitive landscape is dynamic, with both established players like Esri and HERE Technologies, and innovative startups like Radar Labs and Mobstac, vying for market share. Strategic partnerships and technological advancements are crucial for success in this market. Geospatial data analytics capabilities are becoming increasingly important, enabling businesses to extract valuable insights from location data. The Asia-Pacific region, driven by rapid technological advancements and increasing smartphone penetration, is projected to experience the fastest growth, followed by North America, which currently holds a significant market share due to early adoption and robust technological infrastructure. Europe is also a substantial market, with several countries exhibiting strong interest in using geofencing technology across diverse applications. The forecast period anticipates a continued shift towards sophisticated analytics and integration with other technologies, such as AI and IoT, leading to more refined and effective geofencing solutions.

G Wireless Infrastructure Market Outlook

The G Wireless Infrastructure Market is projected to witness substantial growth over the forecast period from 2024 to 2032, with the market size expected to expand from USD 135 billion in 2023 to approximately USD 305 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 9.8%. This growth is driven by several factors, including the rapid advancement in wireless technologies, increased demand for high-speed internet connectivity, and the escalating rollout of 5G networks across various regions. The burgeoning need for low-latency communication in emerging applications such as autonomous vehicles, smart cities, and IoT devices is also contributing to this upward trend.

A major growth factor for the G Wireless Infrastructure Market is the widespread adoption of 5G technology. As network operators globally ramp up their efforts to deploy 5G networks, the demand for advanced wireless infrastructure components and services is skyrocketing. 5G technology promises significantly lower latency, higher speed, and greater capacity compared to its predecessors, making it a key enabler for modern, data-intensive applications. The proliferation of connected devices, burgeoning data traffic, and the urgency to upgrade existing network infrastructures to accommodate next-gen wireless standards are fueling investments in this market. Furthermore, government initiatives and supportive policies towards digital transformation and technological advancements are expected to bolster market growth.

The rise of the Internet of Things (IoT) is another critical factor propelling the growth of the G Wireless Infrastructure Market. IoT devices, which are rapidly permeating various sectors, from smart homes to industrial automation, require robust and reliable wireless infrastructure to function effectively. As these devices become more prevalent, the pressure on existing networks to support increased data transmissions and seamless connectivity intensifies, necessitating the expansion and modernization of wireless infrastructure. This is catalyzing investments in both hardware and software solutions to support the connectivity needs of billions of IoT devices anticipated by the end of the decade. The growing emphasis on smart city initiatives further underscores the need for advanced wireless infrastructure, driving substantial growth in this market segment.

The increasing demand for high-speed internet and the need for improved network coverage in rural and underserved areas are additional factors contributing to the market's growth. Governments and private entities are increasingly recognizing the socio-economic benefits of ubiquitous internet access, thereby channeling significant resources into the expansion of wireless infrastructure. This includes the deployment of innovative solutions like small cells and distributed antenna systems (DAS) to enhance coverage and capacity in both urban and rural settings. The convergence of various communication technologies and the ongoing digital transformation across several industries are also playing pivotal roles in advancing the global wireless infrastructure landscape.

The integration of Geographic Information Systems (GIS) in Telecom is becoming increasingly pivotal in the G Wireless Infrastructure Market. GIS technology facilitates the efficient planning and management of telecom networks by providing detailed spatial data and analysis. This enables telecom operators to optimize network coverage, identify potential service gaps, and enhance customer service delivery. As the demand for precise and real-time data grows, GIS tools are being leveraged to support the deployment of new technologies and infrastructure, particularly in complex urban environments. The ability to visualize and analyze geographical data helps in making informed decisions, reducing operational costs, and improving the overall efficiency of telecom operations. As such, the adoption of GIS in Telecom is expected to play a significant role in driving the future growth and development of the wireless infrastructure market.

In terms of regional outlook, Asia Pacific is expected to dominate the G Wireless Infrastructure Market throughout the forecast period. The region's rapid urbanization, substantial investments in telecommunication infrastructure, and early adoption of new technologies are key drivers of this trend. North America and Europe are also significant markets, given their advanced technological landscapes and strong focus on research and development in wireless techno

Data from underserved areas of Dallas TXFurnished from Dallas Water Utilities: Added to the map: https://dallasgis.maps.arcgis.com/home/webmap/viewer.html?webmap=b17ce1e1fac84fb8af432e1ec7d821d3

The City of Dallas Food Ecosystem encompasses the production, distribution, consumption, and waste management of food within the city. It includes a wide range of stakeholders such as local farmers, food distributors, grocery stores, restaurants, food banks, and policy makers.Food Deserts: Some Dallas neighborhoods lack access to fresh and affordable groceries, especially in South Dallas.Nonprofit & Government Programs: Organizations like the North Texas Food Bank, Bonton Farms, and city-led initiatives work to reduce food insecurity.Grocery Store Expansion: The city encourages grocers to expand into underserved areas through incentives and policy support.The city provides funding and incentives for local food businesses, urban farming, and food security projects. Training programs in culinary arts and agriculture help create jobs in the food sector.

Three sizes of hexbins were used to aggregate location-level broadband availability and funding data to provide details on the status of broadband deployment across North Carolina. Broadband service availability data from the FCC Broadband Data Collection, version 5, representing reported service as of 06/30/2024 analyzed to classify locations as:Served - fixed wireline service of greater than 100mb/s download and 20mb/s upload.Underserved - fixed wireline or terrestrial licensed fixed wireless service of greater than 25mb/s download and 3mb/s upload, but no fixed wireline service of greater than 100mb/s download and 20mb/s upload.Unserved - No fixed wireline of greater than or equal to 25mb/s download and 3mb/s upload.The total number of locations within each hexagon area, as well as the number of Served, Underserved, and Unserved locations is summarized in the attributes of the hexbin layers. In addition, the number of locations receiving funding through State, Local, and Federal funding programs in each hexbin is summarized in the hexbin layer. Eligible locations for the Completing Access to Broadband (CAB) program are defined as Unserved and Underserved locations that have not already received funding through another program. The total eligible locations within each hexbin is also provided in the attributes. The approximate size or area of each hexbin:Level 6 hexagons represent approximately 14 square miles per hexagon.Level 7 hexagons represent approximately 2 square miles per hexagon.Level 8 hexagons represent approximately 0.28 square miles per hexagon.

This feature layer includes all OPM collected data at the town level.-------------The Connecticut Broadband Availability and Adoption Maps were created to help citizens and policymakers understand the strengths and weaknesses of broadband infrastructure in the state. Data is aggregated to the block, tract, and town (county subdivision) levels and includes counts of locations classified as unserved, underserved, and served as well as whether they meet the state goal of 1000Mbps/100Mbps. This application splits its visualizations into block, tract, and town layers for both unserved locations and progress to the state goal.

This map uses OPM collected availability and adoption data.

As of 2023, OPM collected availability data was submitted by internet service providers pursuant to PA 21-159 and processed by the GIS Office in the Office of Policy and Management, cleaned, and matched to the CostQuest location fabric.

Metadata:

All feature layers, maps, and datasets including OPM's internal broadband availability data follows the same basic schema with additional fields added in some case for convenience.

Fields named no service, unserved, underserved, served, and GigC are counts of locations where a particular level of broadband service is provided, No service locations are those where there is no reported service at all. Unserved locations are locations where there is a provider offering wireline service, but not at or above 25 Mbps download and 3 Mbps upload. Underserved locations are locations where at least one provider offers wireline service of 25 Mbps download and 3 Mbps upload, but there is no provider offering wireline service of 100 Mbps download and 20 Mbps upload. Served locations are locations where there is wireline service of at least 100 Mbps download and 20 Mbps upload. GigC denotes the count of locations that have service at 1000 Mbps download and 100 Mbps upload. Accordingly, total locations is equal to the sum of no service, unserved, underserved, served, and "GigC" locations. Availability also includes fields for average download and upload speeds. These are calculated at the relevant level of census geography based on the maximum for all locations.

The final field included in all availability data is the provider list.

OPM collected adoption data:

OPM collected adoption data uses many of the same naming conventions as the availability data, but there are some notable differences.

Fields named unserved_Sub, underserved_Sub, served_Sub, and GigC _Sub are counts of subscriptions where a particular level of broadband service is currently subscribed to, Unserved subscriptions are subscriptions that do not meet the standard of 25 Mbps download and 3 Mbps upload. Underserved subscriptions are subscriptions with speeds of 25 Mbps download and 3 Mbps upload, but not meeting 100 Mbps download and 20 Mbps upload. Served subscriptions are subscriptions where speeds are between 100 Mbps download and 20 Mbps upload and 1000 Mbps download and 100 Mbps upload. GigC denotes the count of locations that have a subscription at 1000 Mbps download and 100 Mbps upload or higher. For subscription data these locations are NOT included in the "served" field as this does not directly apply to FCC use of the terms.