Names of parking lot owners and inventory Update Frequency: Semi-Annually

A web app that provides reports on the usage of any Pittsburgh Parking Authority parking lot or zone for a selected date range.

This webmap shows the real-time parking vacancy data and basic car park information provided by (1) Transport Department and (2) the Energizing Kowloon East Office (EKEO). The data are open up by participating car park operators including their real-time parking vacancy data and basic car park information, e.g. location, parking fee, opening hour, height restriction, etc. The data was processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK (http://data.gov.hk).

Parking Data for Garage A, B, and C at DAL (Dallas Love Field Airport).

Planimetric basemap polygon layer containing parking lot features. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

Our parking availability data analyzes automotive occupancy variances in any open-space parking area over time. We use novel satellite imagery data, map data, and point of interest (POI) data so you can make strategic decisions based on accurate and up-to-date information at a much lower cost. Our innovative satellite imagery data method allows you to accurately track car occupancy and parking availability changes at a fraction of the cost. Our Parking Availability Data Variance Index will help you: - Increase insight visibility: Observe any open parking space worldwide and compare it among them, using advanced Point of Interest (POI) Data and Map Data*. *This excludes restricted areas (Like army facilities and government locations). - Analyze changes over time: Our solution's adaptability to changing occupancy and area structures is a valuable feature that will help you meet your evolving business needs—track variance occupancy from up to two years. See the sample we made for a parking lot located near the located near the DFW airport: https://docs.predikdata.com/Parking_Occupancy_Sample.pdf

The Truck Stop Parking dataset was compiled on April 09, 2019 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The truck parking data was collected as part of the Jason's Law Truck Parking Survey requirement of MAP-21 (PL 112-141) to provide a "national priority on addressing the shortage of long-term parking for commercial motor vehicles on the National Highway System to improve the safety of motorized and non-motorized users and for commercial motor vehicle operators." Jason's Law required the USDOT to conduct a survey and comparative assessment in consultation with relevant State motor carrier representatives to: 1. Evaluate the capability of the State to provide adequate parking and rest facilities for commercial motor vehicles engaged in interstate transportation; 2. Assess the volume of commercial motor vehicle traffic in the State; and 3. Develop a system of metrics to measure the adequacy of commercial motor vehicle parking facilities in the State.

Comprehensive dataset of 72,484 Parking lots in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Total Revenue for Parking Lots and Garages, Establishments Subject to Federal Income Tax, Employer Firms (REVEF81293TAXABL) from 1998 to 2022 about parking, employer firms, accounting, revenue, establishments, tax, services, and USA.

Comprehensive dataset of 7 Public parking spaces in Nevada, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset stores current state (free or occupied) of parking spots monitored by Sage parking sensors

description: | A. PURPOSE | To identify the location and number of parking spaces at off-street parking facilities with publicly available parking in order to support good parking management policies. | B. METHODOLOGY | Manual addition of points and attributes. Data originally sourced from the Registered Businesses in SF published by the SF Treasurer's office https://data.sfgov.org/Economy-and-Community/Registered-Business-Locations-San-Francisco/g8m3-pdis filtered for all establishments with the code 7520 (parking, automobile) and 8839 (parking, except valet). Additional field work conducted in 2009-2013 to verify, correct, and augment the Treasurer's office registered businesses database. Full documentation found here: http://sfpark.org/resources/parking-census-map-april-2014/ | C. UPDATE FREQUENCY | SFMTA owned garage attributes are updated approximately twice a year. | D. OTHER CRITICAL INFO | Count of spaces found in the "RegCap" field ("regular capacity"). | E. ATTRIBUTES |OldHours Off_ID: Unique lot/garage ID;Assessor: Assessor's unique ID;Name1: Name of lot; Name2: Owning company of lot;Agency: Name of owning organization, if applicable;Address: Address of lot;G_L: If garage or lot; PrimeTyp: Primary parking type offered--PPA -Paid publicly available,CPO -Customer parking only,PHO -Permit holders only (monthly, employee, student, car share, etc),CGO -Commercial/government only,FPA -Free parking available; SecondTy Secondary parking type offered; PPA - Paid publicly available, CPO - Customer parking only, PHO - Permit holders only (monthly, employee, student, car share, etc),CGO - Commercial/government only, FPA - Free parking available;Definiti: More details on type of parking (limited completion); RegCap: Number of parking spaces for general parking; ValetCap: Number cars which can be parked by a valet; MC_Cap: Number of parking spaces for motorcycles; OldHours: Unstructure data on garage/lot operating hours; MonOpen: For lots/garaged surveyed since 2011, opening hours on Monday, military time; MonClose: For lots/garaged surveyed since 2011, closing hours on Monday, military time; TuesOpen: For lots/garaged surveyed since 2011, opening hours on Tuesday, military time;TuesClose: For lots/garaged surveyed since 2011, closing hours on Tuesday, military time; WedOpen: For lots/garaged surveyed since 2011, opening hours on Wednesday, military time; WedClose: For lots/garaged surveyed since 2011, closing hours on Wednesday, military time; ThursOpen: For lots/garaged surveyed since 2011, opening hours on Thursday, military time; ThursClose: For lots/garaged surveyed since 2011, closing hours on Thursday, military time; FriOpen: For lots/garaged surveyed since 2011, opening hours on Friday, military time; FriClosed: For lots/garaged surveyed since 2011, closing hours on Friday, military time; SatOpen: For lots/garaged surveyed since 2011, opening hours on Saturday, military time; SatClose: For lots/garaged surveyed since 2011, closing hours on Saturday, military time; SunOpen: For lots/garaged surveyed since 2011, opening hours on Sunday, military time; SunClose: For lots/garaged surveyed since 2011, closing hours on Sunday, military time; RegMonth: Cost for a monthly parking permit, unassigned space;AssignMt: Cost for a monthly parking permit, assigned space; DailyFla: Flat rate; DailyStart: Enter times to receive flat rate; DailyEnd: Exit times to receive flat rate; EveFlat: Evening flat rate; EveStart: Enter times to receive evening flat rate; EveEnd: Exit times to receive evening flat rate; EarlyBird1: Early bird rate #1; Early1Star:Arrival time requirement to receive Early bird rate #1;Early1End: Either arrive by time or leave after time to receive Early bird rate #1;EarlyBird2: Early bird rate #2;Early2Star: Arrival time requirement to receive Early bird rate #2;Early2End: Either arrive by time or leave after time to receive Early bird rate #2;OneHr: Cost to park for 1 hour;TwoHr: Cost to park for 2 hours; ThreeHr: Cost to park for 3 hours; FourHr: Cost to park for 4 hours; TwelveHr: Cost to park for 12 hours; DailyMax: Maximum daily cost to park; Ver_Date: Observation date; Verifier: Surveyor; Notes: Notes; LotGone: Status of lot; Owner: Owner or manager of the lot; abstract: | A. PURPOSE | To identify the location and number of parking spaces at off-street parking facilities with publicly available parking in order to support good parking management policies. | B. METHODOLOGY | Manual addition of points and attributes. Data originally sourced from the Registered Businesses in SF published by the SF Treasurer's office https://data.sfgov.org/Economy-and-Community/Registered-Business-Locations-San-Francisco/g8m3-pdis filtered for all establishments with the code 7520 (parking, automobile) and 8839 (parking, except valet). Additional field work conducted in 2009-2013 to verify, correct, and augment the Treasurer's office registered businesses database. Full documentation found here: http://sfpark.org/resources/parking-census-map-april-2014/ | C. UPDATE FREQUENCY | SFMTA owned garage attributes are updated approximately twice a year. | D. OTHER CRITICAL INFO | Count of spaces found in the "RegCap" field ("regular capacity"). | E. ATTRIBUTES |OldHours Off_ID: Unique lot/garage ID;Assessor: Assessor's unique ID;Name1: Name of lot; Name2: Owning company of lot;Agency: Name of owning organization, if applicable;Address: Address of lot;G_L: If garage or lot; PrimeTyp: Primary parking type offered--PPA -Paid publicly available,CPO -Customer parking only,PHO -Permit holders only (monthly, employee, student, car share, etc),CGO -Commercial/government only,FPA -Free parking available; SecondTy Secondary parking type offered; PPA - Paid publicly available, CPO - Customer parking only, PHO - Permit holders only (monthly, employee, student, car share, etc),CGO - Commercial/government only, FPA - Free parking available;Definiti: More details on type of parking (limited completion); RegCap: Number of parking spaces for general parking; ValetCap: Number cars which can be parked by a valet; MC_Cap: Number of parking spaces for motorcycles; OldHours: Unstructure data on garage/lot operating hours; MonOpen: For lots/garaged surveyed since 2011, opening hours on Monday, military time; MonClose: For lots/garaged surveyed since 2011, closing hours on Monday, military time; TuesOpen: For lots/garaged surveyed since 2011, opening hours on Tuesday, military time;TuesClose: For lots/garaged surveyed since 2011, closing hours on Tuesday, military time; WedOpen: For lots/garaged surveyed since 2011, opening hours on Wednesday, military time; WedClose: For lots/garaged surveyed since 2011, closing hours on Wednesday, military time; ThursOpen: For lots/garaged surveyed since 2011, opening hours on Thursday, military time; ThursClose: For lots/garaged surveyed since 2011, closing hours on Thursday, military time; FriOpen: For lots/garaged surveyed since 2011, opening hours on Friday, military time; FriClosed: For lots/garaged surveyed since 2011, closing hours on Friday, military time; SatOpen: For lots/garaged surveyed since 2011, opening hours on Saturday, military time; SatClose: For lots/garaged surveyed since 2011, closing hours on Saturday, military time; SunOpen: For lots/garaged surveyed since 2011, opening hours on Sunday, military time; SunClose: For lots/garaged surveyed since 2011, closing hours on Sunday, military time; RegMonth: Cost for a monthly parking permit, unassigned space;AssignMt: Cost for a monthly parking permit, assigned space; DailyFla: Flat rate; DailyStart: Enter times to receive flat rate; DailyEnd: Exit times to receive flat rate; EveFlat: Evening flat rate; EveStart: Enter times to receive evening flat rate; EveEnd: Exit times to receive evening flat rate; EarlyBird1: Early bird rate #1; Early1Star:Arrival time requirement to receive Early bird rate #1;Early1End: Either arrive by time or leave after time to receive Early bird rate #1;EarlyBird2: Early bird rate #2;Early2Star: Arrival time requirement to receive Early bird rate #2;Early2End: Either arrive by time or leave after time to receive Early bird rate #2;OneHr: Cost to park for 1 hour;TwoHr: Cost to park for 2 hours; ThreeHr: Cost to park for 3 hours; FourHr: Cost to park for 4 hours; TwelveHr: Cost to park for 12 hours; DailyMax: Maximum daily cost to park; Ver_Date: Observation date; Verifier: Surveyor; Notes: Notes; LotGone: Status of lot; Owner: Owner or manager of the lot

This dataset contains agency authorized on-street parking placards (AAOSP) and citywide agency parking permits (CAPP) applications and/ issuances. Agency authorized on-street parking permits are for agency business issued to government employees, teachers and private school facilities. Citywide agency parking permits are for agency businesses issued to agency heads and top deputies, Elected Officials, New York Fire Department (FDNY) and Department of Investigation (DOI) for official agency business, valid 24 hours/ 7 days a week. Note: Agency Authorized On Street Parking (AAOSP) no longer allows to park at loading zones below 60th Street in Manhattan as per Local Law 167 of 2021. The law does not restrict this manner of parking in Manhattan locations north of 60th street, nor in any other the other boroughs.

Annotate Parking Data

## Overview

Annotate Parking Data is a dataset for object detection tasks - it contains Parking annotations for 317 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

The parking industry is undergoing transformative changes driven by technological advancements and shifts in urban mobility. Current trends highlight an ongoing emphasis on automation and intelligent system integration, reshaping how parking facilities operate and serve customers. Over recent years, the prevalence of smart technologies such as IoT devices and data-driven solutions has expanded, optimizing parking space utilization. This technological adoption and a steady recovery in nonresidential construction support revenue generation by enabling efficient parking management. However, challenges persist as urban drivers often favor more affordable alternatives like free street parking over paid facilities, prompting operators to rethink service offerings to attract customers. Revenue has grown at a CAGR of 8.1% over the past five years, with projections totaling $13.1 billion. However, the industry is expected to experience a single-year dip of 0.8% by 2025, as the projected growth is largely attributed to the sharp drop in 2020. Automation's growth has redefined wage structures, reducing labor expenses while increasing operational efficiency. Such cost savings present opportunities for enhanced profitability, especially for larger businesses adopting advanced technologies like automated payment systems. Geographic location heavily impacts revenue streams; high-traffic urban centers allow for premium pricing strategies, strengthening financial outcomes. As facilities emphasize management contracts over property ownership, depreciation costs drop, improving profit. These trends illustrate an industry striving for streamlined operations and financial sustainability. The industry anticipates growing demand in the coming five years as the economy regains momentum, supported by rising consumer confidence and urbanization. Parking requirements at airports, transit hubs and commercial centers are projected to climb, necessitating capacity reassessments and strategic partnerships to accommodate growing needs. Expanding nonresidential construction offers lucrative opportunities for businesses integrating parking facilities into new developments. Emerging technologies like mobile platforms will transform access and pricing strategies, fostering more informed consumer decisions and innovative pricing models. On the contrary, the evolution of urban mobility, including electric vehicle adoption and ridesharing, challenges parking lot operators, encouraging facilities to diversify offerings and invest in sustainable solutions. An emphasis on technology and adaptability will define success in this rapidly evolving landscape. Revenue is expected to rise at a CAGR of 1.6% over the next five years, reaching $14.2 billion in 2030.

Parking transactions for street parking and city operated lots. This includes data from physical parking kiosks and app payments through ParkATX. Spatial data of physical parking assets such as pay stations and meters are available on ArcGIS Online: https://austin.maps.arcgis.com/home/item.html?id=1882302d40784b94a9036260cf518a7c The source code that processes the city's parking transaction data is available on GitHub: https://github.com/cityofaustin/atd-parking-data

description: Bloomington On Street Parking Space inventory exported from the CIty's GIS. See summary description (txt) file for information about intended use, projection, currency, attributes, etc. This map layer shows the City's inventory of public on street parking spaces in the downtown area. The data classifies spaces by the type of restriction and style of parking. Related Links Search for all Geospatial Data Parking Maps Parking Home Page GIS Home Page; abstract: Bloomington On Street Parking Space inventory exported from the CIty's GIS. See summary description (txt) file for information about intended use, projection, currency, attributes, etc. This map layer shows the City's inventory of public on street parking spaces in the downtown area. The data classifies spaces by the type of restriction and style of parking. Related Links Search for all Geospatial Data Parking Maps Parking Home Page GIS Home Page

Department of Transpiration manages approximately 1,000,000 signs on the streets of New York. This dataset contains current and historical parking regulation signs. For all street signs, please use Street Sign Work Orders.

The purpose of the Residential Permit Parking (RPP) Program is to help ease the impacts to neighborhoods from non-residential parking along streets adjacent to commercial properties. The desired outcome of RPP is to increase the amount of on-street parking available to residents and their guests while balancing the needs of others who desire to park along the street.

This dataset contains transaction-level records of purchases of parking from the Pittsburgh Parking Authority. Individual transactions are published with information including the zone or meter where the purchase was made, start time of the interval paid for, end time of the interval paid for, purchase time (for meter transactions), date recorded in the database (a good proxy for purchase time for mobile transactions), amount paid in that transaction, whether the transaction was made through a smart phone (a "mobile" transaction) or at a meter (in which case the means of payment will be identified as cash, credit card, or a combination of the two), and whether a given purchase started a new parking session or extended an existing session. The payment-interval start times are the same for all transactions in a given session: If someone pays to park at 9am and then 15 minutes later adds more money to extend their parking session, there will be two rows in the table (one for the 9am purchase and one for the 9:15am purchase), but both rows will have the same payment-interval start time (9am) since the payment interval is at the parking-session level. This dataset is considered "beta" at this point. The formatting of values and the set of fields may change as this dataset approaches its final state.