Building feature updates include Buildings (all types), trailers overhead structures, and docks/piers. This dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.
Web mapping application containing where mobile food vendors are allowed to operate within the city limits of Sioux Falls, South Dakota.
This dataset was developed to support Mobile County. The project area is 1402 square miles of Mobile County land. The scope of work involved data acquisition and processing, and the development of digital color orthophotography at 0.5 foot pixel resolution, meeting ASPRS Class II Standards for 1"=100' scale mapping for the entire project area. Original contact information: Contact Name: Scott Kearney Contact Org: City of Mobile Title: GIS Manager Phone: (251) 208-7942 Email: kearney@cityofmobile.org
Feature layer containing authoritative crime free mobile home points for Sioux Falls, South Dakota.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The representation of mobile homes in San Jose, CA.
City of Mobile's fire jurisdiction. Boundary changes with Corporate Limit changes.
Storm water data is from a survey conducted from 2022 to 2023. In certain areas, the data is incomplete due to various issues.Finances:This project was paid for [in part] with federal funding from the Department of the Treasury under the Resources and Ecosystems Sustainability, Tourist Opportunities, and Revived Economies of the Gulf Coast States Act of 2012 (RESTORE Act).Data Collection:The inventory of field data collected by the contracted surveyor will Include rim elevation, depth, invert elevation(s), material, pipe diameter(s) and physical condition, with an approximate horizontal accuracy of + 0.1 feet and vertical accuracy of +0.2 feet.Comments:Only features maintained by the City of Mobile are within this dataset. Attributes collectedPipe Measurement 1 should be populated in all features if available.Pipe Measurement 2 should be populated if the feature cross section shape is NOT circular and is available.SWLINE Layer
Measurement and Details:
Survey Date
Survey Upstream Invert
Survey Upstream Bottom Depth
Survey Upstream Top Depth
Survey Downstream Invert
Survey Downstream Bottom Depth
Survey Downstream Top Depth
Survey Pipe Measurement 1
Survey Pipe Measurement 2
Survey Measurement Status
Survey Measurement Issue
Survey Measurement Comment
Feature Type
Material
Cross Section Shape
Use this application to view City of Chicago registered sex & gun offenders. Data can be filtered. Data is updated daily. Sex offenders are required to register under the Sex Offender Registration Act. Gun offenders are are required to register under Municipal Code.
Open Jackson is the City of Jackson's open data portal to find facts, figures, and maps related to our lives within the city. We are working to make this the default technology platform to support the publication of the City's public information, in the form of data, and to make this information easy to find, access, and use by a broad audience. The release of Open Jackson marks the culminating point of our efforts to transition to a transparent government. We will continue our work to curate high-quality and up-to-date datasets and develop a platform that is widely accessible. If you have feedback, please contact [email protected]. In 2015, a new law created the online open data portal to increase transparency and accountability in Jackson by making key information easily accessible and usable to both city officials and citizens. Click here to view the Jackson Open Data Policy. You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Jackson homepage. The data made available has been modified for use from its original source, which is the City of Jackson. The City of Jackson makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Jackson reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]
Detroit Street View (DSV) is an urban remote sensing program run by the Enterprise Geographic Information Systems (EGIS) Team within the Department of Innovation and Technology at the City of Detroit. The mission of Detroit Street View is ‘To continuously observe and document Detroit’s changing physical environment through remote sensing, resulting in freely available foundational data that empowers effective city operations, informed decision making, awareness, and innovation.’ LiDAR (as well as panoramic imagery) is collected using a vehicle-mounted mobile mapping system.
Due to variations in processing, index lines are not currently available for all existing LiDAR datasets, including all data collected before September 2020. Index lines represent the approximate path of the vehicle within the time extent of the given LiDAR file. The actual geographic extent of the LiDAR point cloud varies dependent on line-of-sight.
Compressed (LAZ format) point cloud files may be requested by emailing gis@detroitmi.gov with a description of the desired geographic area, any specific dates/file names, and an explanation of interest and/or intended use. Requests will be filled at the discretion and availability of the Enterprise GIS Team. Deliverable file size limitations may apply and requestors may be asked to provide their own online location or physical media for transfer.
LiDAR was collected using an uncalibrated Trimble MX2 mobile mapping system. The data is not quality controlled, and no accuracy assessment is provided or implied. Results are known to vary significantly. Users should exercise caution and conduct their own comprehensive suitability assessments before requesting and applying this data.
Sample Dataset: https://detroitmi.maps.arcgis.com/home/item.html?id=69853441d944442f9e79199b57f26fe3
https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351
List of current mobile food vendor business licenses issued by the City of Scottsdale including business name, license number and status.1 full year of licenses updated weekly.
Parking Areas include paved parking within entire update area, and unpaved parking within commercial and industrial parcels and other areas specified by the City of Mobile. This dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.
The CDTFA Mobile app will enable you to find a sales and use tax rate, locate and contact our field offices, and conveniently access our website and online services.
FEATURES
• California Sales and Use Tax Rates: Find a tax rate by address, city, or your current location • CDTFA Field Offices: Get an office's address and other details, and with the tap of a button call an office or open its location in the Maps application to get driving directions • Website: View our website right within the app • Online Services: Access our online services directly with the tap of a button • And more features will be coming soon!
Birmingham, Alabama Mayor William A. Bell signed an executive order to improve the way citizens interact with their government. The new law allowed the creation of this online open data portal to increase transparency and accountability in Birmingham by making key information easily accessible and usable to both city officials and citizens. Click here to view the Birmingham Open Data Policy. You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Birmingham homepage. The data made available has been modified for use from its original source, which is the City of Birmingham. The City of Birmingham makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Birmingham reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]
Locations within the City of Boston of all small cell antenna/DAS approved by the City prior to 01/01/2017. Updated with revised data on 3/28/2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides census-block level estimates of outdoor air pollutant concentrations averaged over a 32-month period spanning from May 2015 through December 2017. Measurements were taken using mobile monitoring along every street of 13 cities, towns, and urban districts (93 km2) distributed through four counties of the San Francisco Bay Area, comprising over 2,100 hours of sampling. Two Google Street View cars equipped with the Aclima mobile platform repeatedly measured city block air quality, providing estimates of outdoor air pollution for a year-2010 population of ~450,000 individuals. This dataset includes measurements of four pollutants:NO (units: ppb)NO2 (units:ppb)BC (black carbon, units: µg/m3)UFP (ultrafine particle count, units: #x103/cm3)For the purposes of quality control, the set includes:a count of the unique days each block was visited while each of the monitoring instruments were operational (uniqueDays_xx, with xx representing the relevant pollutant), the total visits to the census block (visits_xx), and the cumulative sampling time in seconds (samplingTime_xx).The dataset includes the population data from the US census (TotalPop.x) and populations divided by census-based self-identified race and ethnicity. The categories include:-Hispanic or Latino (HispLat)-Not Hispanic or Latino: White alone or in combination with one or more other races (WhiteNH)-Not Hispanic or Latino: Black or African American alone or in combination with one or more other races (BlackNH)-Not Hispanic or Latino: Asian alone or in combination with one or more other races (AsianNH)-Not Hispanic or Latino: American Indian and Alaska Native alone or in combination with one or more other races (NativeNH)-Not Hispanic or Latino: Native Hawaiian and Other Pacific Islander alone or in combination with one or more other races (PacIsl)-Not Hispanic or Latino: Some Other Race alone or in combination with one or more other races (OtherNH)Consistent with Chambliss et al. 2021, there is a grouping of "OtherRace" which is the sum of the last three categories.Additional methodological details can be found in Chambliss et al. 2021 (https://chemrxiv.org/engage/chemrxiv/article-details/60f731b1880443777ae27104).Data are provided as a table that may be joined to GIS data from the US census using the unique "GISJOIN" identifier matching 2010 census block geographic units. Such GIS data is available online from several sources, including https://www.nhgis.org/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
5G cellular antennas operated by AT&T, Verizon, or Mobilitie. The City of San Jose rents street light poles to telecom companies for their 5G technology antennas to provide faster and better wireless data coverage.
Data is published on Mondays on a weekly basis.
Michael Mendoza has requested information regarding mobile homes in Dallas. This story map combines information from different data sources and provides a comprehensive look at mobile homes and their locations throughout the city. Included maps are the following:Locations of mobile home parksLocations of mobile homes on owner's landLocations zoned for mobile homesMobile homes by council districtAll of this data except zoning represents a point-in-time as of July 11, 2019 and is not meant to show information any time after.
SPR Recreation Division programming locations including Rec'N the Streets Mobile Recreation, Park Ambassadors, Summer Lunch & Playground, and others. In response to the COVID-19 pandemic, Recreation Division programming continues to offer outdoor opportunities to recreate under existing safety precautions. The mission of Rec'N the Streets in particular is: everyone should have access to recreation in their communities; for those in areas with health disparities and no access to these activities, we bring the recreation to them.Refresh Cycle: DailyFeature Class: DPR.MobileRec_PT
Building feature updates include Buildings (all types), trailers overhead structures, and docks/piers. This dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.