This dataset shows a listing of all short term rental properties actively registered with the City of Norfolk. A short term rental is either a vacation rental (not the owner’s primary residence) or homestay (the owner’s primary residence). It can be registered administratively with the City or by applying for a Conditional Use Permit (CUP). This dataset will be updated monthly.

NOTE TO USERS -- There may be disruption to this data set between March 19 to March 29 related to a upgrade. Please contact dsdopendata@austintexas.gov with questions.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq

The general neighborhood and zip code location of active short term rentals (including type) across Austin, TX. Licenses are only active for one year. We have not included specific addresses, at the request of residents for safety reasons, but we have included street name and zip code. For more information or for records of licenses older than a year, concerned parties can pursue a public information request: public.information@austintexas.gov. FYI: your request will not be considered received unless it is sent to the proper address.

The Chinese short-term rental market has shrunk during the COVID-19 pandemic and the total annual revenue dropped to 11.5 billion yuan in 2022. 2023, however, saw a significant market recovery. The short-term rental market in China Until 2019, the home-sharing market has thrived in China as the number of domestic tourists continued to grow. In 2019, China had around 1.6 million short-term rentals listed online and nearly seven million monthly active users. Short-term rental accommodations were popular among younger travelers in particular. This picture changed fundamentally with the spread of the coronavirus pandemic in 2020, and the market switched back to growth in 2023 only. Leading market players Entering China in 2016, the global vacation rental leader Airbnb struggled to take more of the market share from local competitors. As of August 2023, Chinese short-term rental platform Mafengwo recorded around 7.3 million active app users. Meituan B&B and Tujia were among other successful market players that year. Tujia.com, often named China's answer to Airbnb, was the leader in this competitive domestic market for several years. Its success was based on its entirely different model to Airbnb, which better caters to Chinese travelers' cultural and consumption behavior.

In August 2023, the number of monthly active users of Mafengwo app amounted to over 7.3 million. This was the most used short-term vacation rental and home-sharing platform in China by far. Besides travel accommodation services, Mafengwo provides free travel guides, itineraries, maps, transport information, etc.

The global travel and tourism market is one of the worst hit by the coronavirus (COVID-19) pandemic. As a result, companies offering short-term rentals such as Airbnb, Expedia, and Booking.com are now coping with the virus' damaging effects. In the first week of 2020, there were 24 percent less short-term rental reservations in the United States than in the previous year. By week two, this figure rose to 26 percent more year-over-year reservations. However, this growth didn't continue and in week 14 of 2020, short-term rental bookings in the U.S. saw a 94 percent drop over the previous year as a result of the coronavirus pandemic.

Direct link: Short-Term Rental Eligibility Dataset

DATASET CONTEXT

Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.

Eligibility for every unit in the City of Boston is dependant on the following six criteria:

• No affordability covenant restrictions
• Compliance with housing laws and codes
• No violations of laws regarding short-term rental use
• Owner occupied
• Two- or three-family dwelling
• Residential use classification

The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.

ABOUT THIS DATASET

ATTENTION: The Short-Term Rental Eligibility Dataset is now available for residents and landlords to determine their registration eligibility.

NOTE: These data are refreshed on a nightly basis.

In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.

The Short-Term Rental Eligibility Dataset currently joins data from the following datasets:

• Live Street Address Management (SAM) Addresses
• Assessing Online
• Code Enforcement - Building and Property
• Problem Properties
• Income-Restricted Properties
• STR Registration Data

HOW TO DETERMINE ELIGIBILITY FOR SHORT-TERM RENTAL REGISTRATION

1. ** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.

2. Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.

3. Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”

   A “yes” under any of these columns means your unit IS eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

   A “no” under any of these columns means your unit is NOT eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

4. If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.

WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:

1. No affordability covenant restrictions

   • A “yes” in the “Income Restricted” column tells you that the unit is marked as income restricted and is NOT eligible.

The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.
For questions about affordability covenants, contact the Department of Neighborhood Development.

1. Compliance with housing laws and codes

   • A “yes” in the “Problem Properties” column tells you that this unit is considered a “Problem Property” by the Problem Properties Task Force and is NOT eligible.

Learn more about how “Problem Properties” are defined here.

* A **“yes”** in the **“Problem Property Owner”** column tells you that the owner of this unit also owns a “Problem Property,” as reported by the Problem Properties Task Force. 

Owners with any properties designated as a Problem Property are NOT eligible.

No unit owned by the owner of a “Problem Property” may register a short-term rental.
Learn more about how “Problem Properties” are defined here.

* The **“Open Violation Count”** column tells you how many open violations the unit has. Units with **any open** violations are NOT eligible. Violations counted include: violations of the sanitary, building, zoning, and fire code; stop work orders; and abatement orders. 

NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

* The **“Violations in the Last 6 Months”** column tells you how many violations the unit has received in the last six months. Units with **three or more** violations, whether open or closed, are NOT eligible. 

NOTE: Only violations written on or after 1/1/19 will count against this criteria.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

How to comply with housing laws and codes:
Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).
Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.
a legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.
Units with legal restrictions found upon investigation are NOT eligible.

If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”
NOTE: Currently no units have a “legally restricted” designation.
Limited-Share
If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy. It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see “Primary Residence Evidence” section).

* **“Building Owner-Occupied”** measures whether the building has a single owner AND is owner occupied. A “no” in this column indicates that the unit is NOT eligible for an owner-adjacent short-term rental. 

If you believe your building occupancy data is incorrect, please contact the Assessing Department.

1. Two- or three-family dwelling

   • The “Units in Building” column tells you how many units are in the building. Owner-Adjacent units are only allowed in two- to three-family buildings; therefore, four or more units in this column will mark the unit as NOT eligible for an Owner-Adjacent Short-Term Rental.

   • A “no” in the “Building Single Owner” column tells you that the owner of this unit does not own the entire building and is NOT eligible for an Owner-Adjacent Short-Term Rental.

   If you believe your building occupancy data is incorrect, please contact the Assessing Department.
   R4

   If you believe your building occupancy data is incorrect, please contact the Assessing Department.

Visit this site for more information on unit eligibility criteria.

Short-term rentals are a type of lodging sometimes called vacation rentals. A house, condo, or apartment (or a part of one) that is rented for a fee for fewer than 30 consecutive nights is a short-term rental. Short-term rental operators are required to obtain an operator license & register each rental unit on that license. This dataset lists all Short-Term Rental operator licenses & their associated units. To learn more about short-term rental regulations in Seattle, please visit: https://www.seattle.gov/business-regulations/short-term-rentals

--- DATASET OVERVIEW --- This dataset captures detailed performance data for individual vacation rental properties, providing a complete picture of operational success metrics across different timeframes and market conditions. With weekly updates and four years of historical data, it enables both point-in-time analysis and long-term trend identification for property-level performance.

The data is derived from OTA platforms using advanced methodologies that capture listing, calendar and quote details. Our algorithms process this raw information to produce standardized and enriched performance metrics that facilitate accurate comparison across different property types, locations, and time periods. By leveraging our other datasets and machine learning models, we are able to accurately detect guest bookings, revenue generation, and occupancy patterns.

--- KEY DATA ELEMENTS --- Our dataset includes the following core performance metrics for each property: - Property Identifiers: Unique identifiers for each property with OTA-specific IDs - Geographic Information: Location data including neighborhood, city, region, and country - Property Characteristics: Property type, bedroom count, bathroom count, and capacity - Occupancy Metrics: Daily, weekly, and monthly occupancy rates based on actual bookings - Revenue Generation: Total revenue, average daily rate (ADR), and revenue per available day (RevPAR) - Booking Patterns: Lead time distribution, length of stay patterns, and booking frequency - Seasonality Indicators: Performance variations across seasons, months, and days of week - Competitive Positioning: Performance relative to similar properties in the same market - Historical and Forward Looking Trends: Year-over-year and month-over-month performance changes

--- USE CASES --- Property Performance Optimization: Property managers can leverage this dataset to evaluate the performance of individual listings against market benchmarks. By identifying properties that underperform relative to similar listings in the same area, managers can implement targeted improvements to pricing strategies, property amenities, or marketing approaches. The granular performance data enables precise identification of specific improvement opportunities at the individual property level.

Competitive Benchmarking: Property owners and managers can benchmark their listings against competitors with similar characteristics in the same market. The property-level performance metrics enable detailed comparison of occupancy rates, ADR, and revenue generation across comparable properties. This competitive intelligence helps identify realistic performance targets and market positioning opportunities.

Portfolio Optimization: Vacation rental portfolio managers can analyze performance variations across different property types and locations to optimize investment and management decisions. The dataset supports identification of high-performing property configurations and locations, enabling strategic portfolio development based on actual performance data rather than assumptions.

Seasonal Strategy Development: The historical performance data across different seasons enables development of targeted seasonal strategies. Property managers can analyze how different property types perform during specific seasons or events, informing marketing focus, pricing adjustments, and operational planning throughout the year.

Performance Forecasting: Historical performance patterns can be leveraged to develop accurate forecasts for future periods. By analyzing year-over-year trends and seasonal patterns, property managers can anticipate performance expectations and set realistic targets for occupancy and revenue generation.

--- ADDITIONAL DATASET INFORMATION --- Delivery Details: • Delivery Frequency: daily | weekly | monthly | quarterly | annually • Delivery Method: scheduled file loads • File Formats: csv | parquet • Large File Format: partitioned parquet • Delivery Channels: Google Cloud | Amazon S3 | Azure Blob • Data Refreshes: daily

Dataset Options: • Coverage: Global (most countries) • Historic Data: Available (2021 for most areas) • Future Looking Data: Available (Current date + 180 days+) • Point-in-Time: Available (with weekly as of dates) • Aggregation and Filtering Options: • Area/Market • Time Scales (daily, weekly, monthly) • Listing Source • Property Characteristics (property types, bedroom counts, amenities, etc.) • Management Practices (professionally managed, by owner)

Contact us to learn about all options.

--- DATA QUALITY AND PROCESSING --- Our data processing methodology ensures high-quality, reliable performance metrics that accurately represent actual property performance. The raw booking and revenue data undergoes extensive validation and normalization processes to address inconsistencies, identify anomalies, and ensure comparability across different pro...

The global travel and tourism market is one of the worst hit by the coronavirus (COVID-19) pandemic. As a result, companies offering short-term rentals such as Airbnb, Expedia, and Booking.com are now coping with the virus' damaging effects. In the first week of 2020, there were 38 percent less short-term rental reservations in Canada than in the previous year. By week four, this figure grew to seven percent more year-over-year reservations. However, this growth didn't continue and in week 14 of 2020, short-term rental bookings in Canada saw a 97 percent drop over the previous year as a result of the coronavirus pandemic.

Feature describes Short Term Vaction Rentals including Location, Permit Number, Description, Rental Contact.Edited regularly, with weekly replication. Available for download on the SAGIS Open Data website (www.sagis.org). Last Energov load 8/8/2018.

Click here to check Short-Term Rental Eligibility

Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.

Eligibility for every unit in the City of Boston is dependant on the following six criteria:

• No affordability covenant restrictions
• Compliance with housing laws and codes
• No violations of laws regarding short-term rental use
• Owner occupied
• Two- or three-family dwelling
• Residential use classification

The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.

ABOUT THIS DATASET

In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.

The Short-Term Rental Eligibility Dataset currently joins data from the following datasets and is refreshed nightly:

• Live Street Address Management (SAM) Addresses.
• Assessing Online.
• Building and Property Violations
• Problem Properties
• Income-Restricted Properties
• STR Registration Data

HOW TO DETERMINE ELIGIBILITY FOR SHORT-TERM RENTAL REGISTRATION

1. ** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.

2. Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.

3. Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”

   • A “yes” under any of these columns means your unit IS eligible for registration under that short-term rental type. Click here for a description of short-term rental types.
   • A “no” under any of these columns means your unit is NOT eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

4. If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.

WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:

1. No affordability covenant restrictions

   • A “yes” in the “Income Restricted” column tells you that the unit is marked as income restricted and is NOT eligible.
     
     
   • The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.
     
     
   • For questions about affordability covenants, contact the Department of Neighborhood Development.
     
     

2. Compliance with housing laws and codes

   • A “yes” in the “Problem Properties” column tells you that this unit is considered a “Problem Property” by the Problem Properties Task Force and is NOT eligible.
     
     
   • Learn more about how “Problem Properties” are defined here.
     
     
   • A “yes” in the “Problem Property Owner” column tells you that the owner of this unit also owns a “Problem Property,” as reported by the Problem Properties Task Force.
     
     
   • Owners with any properties designated as a Problem Property are NOT eligible.
     
     
   • No unit owned by the owner of a “Problem Property” may register a short-term rental.
     
     
   • Learn more about how “Problem Properties” are defined here.
     
     
   • The “Open Violation Count” column tells you how many open violations the unit has. Units with any open violations are NOT eligible. Violations counted include: violations of the sanitary, building, zoning, and fire code; stop work orders; and abatement orders.
     
     
   • NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.
     
     
   • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).
     
     
   • The “Violations in the Last 6 Months” column tells you how many violations the unit has received in the last six months. Units with three or more violations, whether open or closed, are NOT eligible.
     
     
   • NOTE: Only violations written on or after 1/1/19 will count against this criteria.
     
     
   • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).
     
     
   • How to comply with housing laws and codes:
     
     
   • Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).
     
     
   • Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.
     
     

3. No violations of laws regarding short-term rental use

   • A “yes” in the “Legally Restricted” column tells you that there is a complaint against the unit that finds

     • A legal restriction that prohibits the use of the unit as a Short-Term Rental under local, state, or federal law, OR

     • legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.

     • Units with legal restrictions found upon investigation are NOT eligible.
       
       

     • If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”
       
       

     • NOTE: Currently no units have a “legally restricted” designation.
       
       

4. Owner-occupied

   • A “no” in the “Unit Owner-Occupied” column tells you that there is NO Residential Tax Exemption filed for that unit via the Assessing Department, and that unit is automatically categorized as NOT eligible for the following Short-Term Rental types:

     • Home-Share
     • Limited-Share
       
       
     • Residential Tax Exemption indicates that a unit is owner-occupied and generates a “yes” in the “Unit Owner-Occupied” column.
       
       

     • Owners are not required to file a Residential Tax Exemption in order to be eligible to register a unit as a Short-Term Rental.
       
       

     • If you would like to apply for Residential Tax Exemption, you can apply here.
       
       

     • If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy.
       

     • It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see

In 2023, the vacation short-term rentals market in South Korea posted a revenue of around 830.6 billion South Korean won. This represented an increase from the previous year of 592.7 billion won.

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

With almost five percent, the Canary Islands were the Spanish autonomous community with the highest share of short-term rentals out of the total number of registered dwellings as of November 2024. The Balearic Islands ranked second in the list at that time.

Snapshot img

Car Rental (Self Drive) Market Size 2025-2029

The car rental (self drive) market size is forecast to increase by USD 2.36 billion, at a CAGR of 30.6% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. One notable trend is the increasing interest in self-driving vehicles, which offer travellers greater convenience and flexibility. Another trend is the integration of telematics technology in self-drive car rentals, enabling real-time vehicle tracking and monitoring. However, the high cost of self-driving car rentals remains a challenge for market growth. Despite this, the market is expected to continue expanding as technology advances and becomes more affordable. The use of telematics in self-drive car rentals offers numerous benefits, such as improved safety, reduced insurance costs, and enhanced customer experience. 
Car rental services cater to intercity and intracity travel, offering inexpensive alternatives to private automobiles for tourists and business travellers alike. However, the high initial investment required for implementing telematics technology and the high cost of self-driving vehicles are major obstacles for market growth. Overall, the self-drive car rental market is poised for growth, driven by the increasing popularity of self-driving vehicles and the integration of telematics technology.

What will be the Size of the Car Rental (Self Drive) Market During the Forecast Period?

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The market represents a significant and dynamic sector within the global mobility industry. This market caters to both tourism and commuting needs, offering short-term and long-term rental options for various vehicle types, including hatchbacks, sedans, SUVs, MUVs, and standard, and luxury models. The market is organized and unorganized, with both online and offline channels serving customers' diverse preferences. Millennials, as a major demographic, are driving growth In the market due to their increasing demand for flexible, cost-effective, and convenient mobility solutions. The market's size is substantial, with millions of transactions occurring annually, especially at airports and tourist destinations.
Mobility infrastructure plays a crucial role In the market's development, with Wi-Fi networks, entertainment systems, GPS systems, and insurance plans enhancing the rental experience. The market's direction is towards greater customization and integration of technology, enabling customers to easily compare prices, book vehicles, and manage their rentals online. The market's continued expansion is driven by the evolving needs of consumers, who seek efficient, flexible, and affordable mobility solutions.

How is this Car Rental (Self Drive) Industry segmented and which is the largest segment?

The car rental (self drive) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Vehicle Type

  Economic cars
  Luxury cars


Mode Of Booking

  Offline
  Online


Type

  Short-term rentals
  Long-term rentals


Application

  Leisure and vacation travel
  Corporate and business use
  Airport rentals
  Intercity and intracity rentals
  Subscription and leasing services


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy
    Spain


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Vehicle Type Insights

The economic cars segment is estimated to witness significant growth during the forecast period. Self-drive car rentals, particularly those offering economic cars, have gained significant traction in both the tourism and commuting sectors. Millennials, in particular, prefer this mobility option due to its convenience and affordability. Online and offline channels, including websites, mobile applications, and e-booking services, facilitate easy booking. New-age startups have disrupted the car rental sector with custom services, after-sale support, and complementary offerings such as Wi-Fi networks, entertainment systems, and GPS systems. The organized market dominates, but the unorganized sector also plays a role, especially in rural areas. Short-term and long-term rental options cater to various consumer needs. Tourists, service professionals, and corporate offices are significant consumers.

The tourism sector, with international, tourist, and foreign tourist arrivals, drives demand for car rentals at tourist destinations. National highways and road transportation infrastructure development further boost the market. Insurance options are crucial for consumers. Self-drive car rental services offer a range of ownership and lease contracts, allowing customers to choose based on their requirements. Companies

The global travel and tourism market is one of the worst hit by the coronavirus (COVID-19) pandemic. As a result, companies such as Airbnb are now coping with the virus' damaging effects. In the first week of 2020, there were 18 percent less Airbnb short-term rental reservations than in the previous year. By week two the company saw more bookings than in 2019, the figure rising to four percent more year-over-year reservations. However, this growth didn't continue and in week 14 of 2020, short-term rental bookings on the Airbnb platform saw a 95 percent drop over the previous year as a result of the coronavirus pandemic.

Korea Housing Rent Index: 6 Metropolitan Cities: Apartment House data was reported at 168.000 Dec1995=100 in Jun 2003. This records a decrease from the previous number of 168.900 Dec1995=100 for May 2003. Korea Housing Rent Index: 6 Metropolitan Cities: Apartment House data is updated monthly, averaging 165.800 Dec1995=100 from Feb 2002 (Median) to Jun 2003, with 17 observations. The data reached an all-time high of 168.900 Dec1995=100 in May 2003 and a record low of 153.400 Dec1995=100 in Feb 2002. Korea Housing Rent Index: 6 Metropolitan Cities: Apartment House data remains active status in CEIC and is reported by Kookmin Bank. The data is categorized under Global Database’s Korea – Table KR.EB032: Housing Rent Index: Dec 1995=100.

As a result of the coronavirus (COVID-19) pandemic, the lodging industry in the United States faced huge amounts of disruption. According to an August 2020 survey, only 10 percent of U.S. travelers had planned to stay overnight in a home-sharing service in the next three months.

The average host on Airbnb earns $13,800 annually. The fastest-growing host demographic is seniors.

This dataset represents a tabular view of all City of Bend planning applications since 1993 as well as many historic application records from 1972-1993. Please note data is updated nightly and subject to change as applications are received and reviewed. Attribute Information: Field Name Description

OBJECTID For internal use.

GNMasterProjectID For internal use.

GNCommonID For internal use.

PL_RecordID For internal use.

ApplicationNumber The tracking number for this application in the City of Bend permitting system.

ApplicationDate Date application was submitted.

ApplicationDescription Short description of application.

ProjectTypeCode The generalized project type code by category such as Land Division, Short-Term-Rental, or Site Plan Review.

ProjectTypeDesc The generalized project type description by category such as Land Division, Short-Term-Rental, or Site Plan Review.

ApplicationTypeCode The specific application type code by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

ApplicationTypeDesc The specific application type description by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

ApplicationReviewStatusCode The application review status code.

ApplicationReviewStatusDesc The application review status description.

AppTypeUKID For internal use.

AppStatus The current status code for the application. Updated nightly.

AppStatusDesc The current status description for the application. Updated nightly.

AppReviewType The land use review type code.

AppReviewDesc The land use review type description.

AssignedPlanner The assigned City of Bend planner.

Owner The owner of the property of the application.

Address The site address for the application (Please note if a project includes multiple addresses, only one is visible in this field).

LOCID For internal use.

SITADDID For internal use.

TAXLOT The tax lot for the application (Please note if a project includes multiple tax lots, only one is visible in this field).

DecisionDate The date a land use decision was issued

Units For internal use.

OverallStatus For internal use. For questions regarding planning applications, please visit The City of Bend Online Permit Centeror call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.