Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

The underground utilities survey layer contains the extents of underground utilities survey completed to Main Roads specifications and standards for use in project planning, design, construction and asset management.This data is used for road investigation, planning, design, construction and asset management.The data within this layer is continually maintained and edited on a daily basis.Data Dictionary: https://bit.ly/3dxlVM0 Show full description

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility GIS Data Quality Services Market Outlook

According to our latest research, the global Utility GIS Data Quality Services market size reached USD 1.37 billion in 2024 and is projected to grow at a robust CAGR of 12.8% from 2025 to 2033, reaching an estimated USD 4.08 billion by 2033. The primary growth factor driving this market is the increasing demand for accurate, real-time geospatial data to optimize utility operations and comply with stringent regulatory requirements. The surge in smart grid deployments and digital transformation initiatives across the utility sector is significantly boosting the adoption of specialized GIS data quality services.

One of the core growth drivers for the Utility GIS Data Quality Services market is the accelerating shift toward digital infrastructure in the utilities sector. Utilities, including electric, water, and gas providers, are increasingly relying on Geographic Information Systems (GIS) for asset management, network optimization, and outage management. However, the effectiveness of these systems is heavily dependent on the accuracy and integrity of the underlying data. As utilities modernize their grids and expand their service offerings, the need for comprehensive data cleansing, validation, and enrichment becomes paramount. This trend is further amplified by the proliferation of IoT devices and smart meters, which generate vast volumes of spatial and operational data, necessitating advanced GIS data quality services to ensure consistency and reliability across platforms.

Another significant factor propelling market growth is the evolving regulatory landscape. Governments and regulatory bodies worldwide are imposing stricter requirements on utilities to maintain high-quality, up-to-date geospatial records for compliance, safety, and disaster response. Inaccurate or outdated GIS data can lead to costly penalties, service interruptions, and reputational damage. As a result, utility companies are investing heavily in data quality services to achieve regulatory compliance and mitigate operational risks. The integration of artificial intelligence and machine learning technologies into GIS data quality processes is also enhancing the efficiency and accuracy of data validation, migration, and integration, further supporting market expansion.

Moreover, the increasing complexity of utility networks and the growing emphasis on sustainability and resilience are driving utilities to adopt advanced GIS data quality services. Utilities are under pressure to optimize resource allocation, minimize losses, and enhance customer service, all of which require high-quality geospatial data. The rise of distributed energy resources, such as solar and wind, and the need to manage bi-directional power flows are adding new layers of complexity to utility networks. GIS data quality services enable utilities to maintain a comprehensive, accurate digital twin of their infrastructure, supporting better planning, predictive maintenance, and rapid response to outages or emergencies. These factors collectively contribute to the sustained growth of the Utility GIS Data Quality Services market.

From a regional perspective, North America currently dominates the Utility GIS Data Quality Services market, driven by large-scale investments in smart grid projects and the presence of major utility companies adopting advanced GIS solutions. However, Asia Pacific is expected to witness the fastest growth over the forecast period, fueled by rapid urbanization, infrastructure development, and government initiatives to modernize utility networks. Europe also presents significant opportunities, with increasing focus on sustainability, regulatory compliance, and cross-border energy integration. The Middle East & Africa and Latin America are gradually catching up, with investments in utility infrastructure and digital transformation initiatives gaining momentum. Overall, the global market is poised for substantial growth, underpinned by technological advancements, regulatory mandates, and the evolving needs of the utility sector.

Service Type Analysis

The Utility GIS Data Quality Services market is segmented by service type into data cleansing, data validation, data integration, data migration, data enrichment, and others. Data cleansing services form the backbone of this segment, as they address the critical need to remove inaccuracies, inconsistencies, and redundancies from utility GIS databases. Wit

The Gas Utility District hosted feature layer displays polygon geometry with attributes of Gas Utility District No. 1 in East Baton Rouge Parish, Louisiana.

This dataset contains Roadway Utilities located along Utah state highways. Descriptive information includes utility type (Catch Basin, Manhole, Monuments, and Utility). Location information includes x,y and route & milepost. This dataset is a Pathway data layer that was collected in the Summer of 2023 via LiDAR inventory. Data is updated on a two year cycle. For questions on the data please contact Ed Graves edgraves@utah.gov. To download this data please visit UDOT"s Open Data Site.

Part of the Nova Scotia Topographic Database (NSTDB), the utilities theme layer is updated and maintained from aerial photography, and verified with field inspections. Pipelines, Tanks and electrical substations are collected among other types of features. Utility feature codes and their descriptions are provided with the download in a NSTDB feature code table. Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=17 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Utilities_UT83/MapServer?f=jsapi

This layer contains the data for the reuse meters in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock Department of Utilities and Environmental Services. The data in this layer are represented as points. The reuse system in the City of Round Rock was implemented in order to establish a way to reuse water. The reuse system utilizes "used" water such as the water leftover from showers, sinks, dishwashers, and other appliances that create a surplus of water to water crops, grasses, or other field areas in the city.

This table represents Real Estate of Utility Company (REUC) Lots in the Digital Tax Map Collection. • Updates: Data is extracted from DOF’s internal system on the last Friday of each month and refreshed on ArcGIS Online on the 1st. The online map always shows the most recent version. • Accessing the Data: • Digital Tax Map on NYC Open Data: See the complete collection. • Individual layers: Downloadable from the Digital Tax Map Feature Server. • Complete source: Available through the Digital Tax Map service, which always points to the latest monthly release. Note: To ensure reliability, the Tax Map alternates between Set A and Set B each month. If one set has issues, the previous month’s copy remains online. Both sets are kept about a month apart and are available for download: • Set A link • Set B link • Digital Alteration Book (DAB): The DAB is the official log of map changes—such as new lots, merges, or boundary shifts—providing a clear record of how the Tax Map evolves. It is available through the Property Information Portal. Disclaimer: This dataset reflects formal applications submitted to DOF but may not reflect the latest changes in other City systems (e.g., exemptions or buildings data). It is provided for informational purposes only and is not guaranteed to be accurate as of today’s date.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer"s Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

Utility layer maintained by the City of Salem Public Works Technical Services Team. Features are updated weekly though a Python script from SDE for viewing only in Salem Maps Online. This layer has been filtered (for security) and symbolized in ArcGIS Pro, and has custom popups created from the feature layer's Visualization tab. For unfiltered and data, reference the Internal Data Utilities layers in the SalemPW account.

This layer contains regions representing the geographic extent of retail service provided by electric utilities in Colorado.

This data set can be used to identify the location of linear utility features for providing services for power, water, communications, or heating fuel. Examples of utility lines include: