85 datasets found
  1. Short Term Rentals

    • ckan-dcdev.hub.arcgis.com
    • address-opioid-addiction-bw-1-dcdev.hub.arcgis.com
    Updated Feb 15, 2019
    + more versions
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    ESRI R&D Center (2019). Short Term Rentals [Dataset]. https://ckan-dcdev.hub.arcgis.com/maps/b381b0a0350843c4a47477926e1bffd7
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    Dataset updated
    Feb 15, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    ESRI R&D Center
    Description

    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:

    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.

  2. Bike Count Prediction Data Set

    • kaggle.com
    Updated Sep 23, 2020
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    Brajesh Mohapatra (2020). Bike Count Prediction Data Set [Dataset]. https://www.kaggle.com/brajeshmohapatra/bike-count-prediction-data-set/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 23, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Brajesh Mohapatra
    Description

    Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these systems, people are able to rent a bike from one location and return it to different place on an as-needed basis. Currently, there are over 500 bike-sharing programs around the world.

    The data generated by these systems makes them attractive for researchers because the duration of travel, departure location, arrival location, and time elapsed is explicitly recorded. Bike sharing systems therefore function as a sensor network, which can be used for studying mobility in a city.

    Problem Statement

    In this project, you are asked to combine historical usage patterns with weather data in order to forecast hourly bike rental demand.

    Data

    You are provided with following files:

    1. train.csv : Use this dataset to train the model. This file contains all the weather related features as well as the target variable “count”. Train dataset is comprised of first 18 months.
    2. test.csv : Use the trained model to predict the count of total rentals for each hour during the next 6 months.

    Data Dictionary

    Here is the description of all the variables :

    VariableDefinition
    datetimehourly date + timestamp
    seasonType of season (1 = spring, 2 = summer, 3 = fall, 4 = winter)
    holidaywhether the day is considered a holiday
    workingdaywhether the day is neither a weekend nor holiday
    weatherweather
    temptemperature in Celsius
    atemp"feels like" temperature in Celsius
    humidityrelative humidity
    windspeedwind speed
    casualnumber of non-registered user rentals initiated
    registerednumber of registered user rentals initiated
    countnumber of total rentals

    How good are your predictions?

    Evaluation Metric

    The Evaluation metric for this project is Root Mean Squared Logarithmic Error (RMSLE)

    Solution Checker

    You can use solution_checker.xlsx to generate score (RMSLE) of your predictions. This is an excel sheet where you are provided with the timestamp and you have to submit your predictions in the count column. Below are the steps to submit your predictions and generate score:

    a. Save the predictions on test.csv file in a new csv file. b. Open the generated csv file, copy the predictions and paste them in the count column of solution_checker.xlsx file. c. Your score will be generated automatically and will be shown in Your Score column.

  3. Rental Property Management Software Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Rental Property Management Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-rental-property-management-software-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Rental Property Management Software Market Outlook



    The global rental property management software market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 2.8 billion by 2032, growing at a CAGR of 7% during the forecast period. The market growth is primarily driven by the increasing adoption of digital solutions to streamline property management operations, enhance tenant satisfaction, and optimize rental processes. With the growth of urbanization and the expansion of the rental housing sector, there is a significant demand for solutions that can efficiently handle the complexities of property management, which includes rent collection, maintenance requests, and tenant communication. This demand is further fueled by advancements in technology, which are enabling the development of sophisticated software platforms that cater to the specific needs of property managers, real estate agents, and housing associations.



    One of the critical growth factors in this market is the heightened need for operational efficiency in rental property management. Property managers and landlords are increasingly seeking software solutions that can automate routine tasks and reduce the administrative burden. This shift towards automation is driven by the desire to cut costs and improve productivity, thereby allowing property managers to focus on more strategic aspects of their roles. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) in rental property management software is enhancing predictive maintenance capabilities, enabling proactive management of rental properties, and ultimately leading to better tenant experiences. These advancements are making it easier for property managers to handle larger portfolios with minimal manual intervention.



    The growing use of mobile applications in property management is another significant growth driver. As tenants increasingly prefer digital interactions for convenience, property managers are adopting mobile-first solutions to stay competitive. Mobile apps are enabling tenants to pay rent, submit maintenance requests, and communicate with property managers more efficiently, which is enhancing the tenant experience and satisfaction. Furthermore, mobile solutions are empowering property managers to perform their duties on-the-go, providing them with access to critical information and the ability to manage properties remotely. This convenience is particularly beneficial in todayÂ’s fast-paced world, where time and efficiency are prized commodities.



    Another substantial growth factor is the surge in demand for cloud-based solutions. The cloud offers scalability, flexibility, and cost-effectiveness, making it an attractive option for property managers across the globe. Cloud-based rental property management software allows users to access the system from anywhere, at any time, facilitating seamless operations and collaboration among team members. This deployment mode also ensures data security and disaster recovery, which are crucial for maintaining business continuity. As data privacy and security concerns are paramount in the property management sector, cloud-based solutions are often equipped with robust security measures that ensure the safety of sensitive information, further driving their adoption.



    In the realm of property management, the introduction of Property Management Maintenance Software is revolutionizing how maintenance tasks are handled. This software enables property managers to efficiently track and manage maintenance requests, ensuring timely responses and reducing downtime. By automating scheduling and tracking, it minimizes the manual effort required, allowing property managers to focus on strategic planning and tenant satisfaction. The software's ability to integrate with other management systems further enhances its utility, providing a seamless experience for users. With features like real-time updates and mobile access, property managers can oversee maintenance activities from anywhere, ensuring that properties are well-maintained and tenants remain satisfied. This technological advancement is not only improving operational efficiency but also contributing to the overall value of the properties managed.



    Component Analysis



    The rental property management software market is segmented into two key components: software and services. The software component constitutes the core of the market, offering a range of solutions tailored to the diverse

  4. Cultivator Rentals Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 3, 2024
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    Dataintelo (2024). Cultivator Rentals Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/cultivator-rentals-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Cultivator Rentals Market Outlook



    The global cultivator rentals market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.3 billion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 7.1%. The primary growth factors driving this market include increasing demand for efficient agricultural practices, rising interest in home gardening, and the economic advantages of renting over purchasing cultivators.



    One of the key growth factors for the cultivator rentals market is the escalating demand for efficient agricultural practices. As the global population continues to rise, there is a corresponding need for enhanced agricultural productivity to ensure food security. Cultivators play a crucial role in soil preparation, allowing farmers to achieve better crop yields. Renting cultivators offers a cost-effective solution for small and medium-sized farmers who may not have the capital to invest in new equipment. This trend is particularly prevalent in emerging economies where agriculture forms a significant part of the GDP.



    Additionally, the rising interest in home gardening and landscaping is contributing to the growth of the cultivator rentals market. With an increasing number of people adopting gardening as a hobby or for sustainable living, the demand for gardening tools, including cultivators, has seen a substantial uptick. Renting cultivators is a practical option for these enthusiasts who need the equipment for a limited period, thus driving market growth. Landscaping projects in both residential and commercial sectors also fuel the demand for rental cultivators, as they are essential for soil preparation and maintenance tasks.



    The economic advantages of renting over purchasing cultivators significantly bolster market growth. Renting offers flexibility, especially for users who only need the equipment for specific seasons or projects. It eliminates the high initial investment and ongoing maintenance costs associated with owning cultivators. This financial feasibility encourages a broader range of users, from individual gardeners to large-scale commercial entities, to opt for rental services. Moreover, rental companies often provide the latest models and well-maintained equipment, ensuring users have access to advanced and reliable tools.



    Regionally, North America and Europe currently dominate the cultivator rentals market, driven by the strong agricultural and landscaping sectors in these regions. However, Asia Pacific is expected to witness the highest growth rate over the forecast period. The increasing mechanization of agriculture in countries like India and China, along with growing urbanization and interest in home gardening, is propelling the market forward. Additionally, the favorable government policies supporting agricultural development in these regions further enhance market potential.



    Product Type Analysis



    The cultivator rentals market is segmented by product type into handheld cultivators, walk-behind cultivators, and tow-behind cultivators. Each type caters to different user needs and applications, contributing uniquely to the market dynamics. Handheld cultivators, known for their ease of use and maneuverability, are highly popular among residential users and small-scale gardeners. These tools are ideal for small garden spaces and light-duty tasks, making them a preferred choice for hobbyists and urban gardeners. The rental market for handheld cultivators is buoyed by the growing trend of home gardening and sustainable living practices.



    Walk-behind cultivators, on the other hand, are more robust and suitable for medium-scale applications, including small farms and extensive gardening projects. These cultivators offer a good balance between power and usability, making them ideal for users who require more capacity than handheld models but do not need the extensive power of tow-behind cultivators. The demand for walk-behind cultivators in the rental market is driven by both residential and commercial users, particularly in the landscaping and gardening segments, where moderate soil preparation tasks are common.



    Tow-behind cultivators represent the heavy-duty end of the spectrum and are predominantly used in large-scale agricultural operations. These cultivators are designed to be attached to tractors, providing significant power and efficiency for extensive soil preparation tasks. The rental market for tow-behind cultivators is largely driven by commercial agricultural entities and large-scale landscaping projects. Renting these high-capacity cultivators offers a

  5. o

    Replication data for: Who Pays for Rent Control? Heterogeneous Landlord...

    • openicpsr.org
    Updated Dec 7, 2019
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    Rebecca Diamond; Tim McQuade; Franklin Qian (2019). Replication data for: Who Pays for Rent Control? Heterogeneous Landlord Response to San Francisco's Rent Control Expansion [Dataset]. http://doi.org/10.3886/E116460V1
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    Dataset updated
    Dec 7, 2019
    Dataset provided by
    American Economic Association
    Authors
    Rebecca Diamond; Tim McQuade; Franklin Qian
    Area covered
    San Francisco
    Description

    Using a 1994 law change, we exploit quasi-experimental variation in the assignment of rent control in San Francisco to study which types of landlords bear the burden of decreased rental payments versus substitute away from supplying rent-controlled housing. We find rent control leads to a long-run decrease in the supply of rental housing. This effect is more pronounced among properties managed by corporate landlords versus individual landlords. Raising revenue for rental subsidies through rent control appears to be regressive, since corporations can evade the tax burden of rent control more easily, likely due to their superior access to capital.

  6. TPU Rentalplace Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 29, 2025
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    Growth Market Reports (2025). TPU Rentalplace Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/tpu-rentalplace-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    TPU Rentalplace Market Outlook



    As per our latest research, the TPU Rentalplace market size reached USD 1.35 billion in 2024, reflecting robust adoption across various industries. The market is experiencing a strong growth trajectory, with a CAGR of 18.7% anticipated from 2025 to 2033. By the end of 2033, the global TPU Rentalplace market is forecasted to achieve a value of approximately USD 6.27 billion. This remarkable expansion is underpinned by the increasing demand for high-performance computing resources, particularly for artificial intelligence (AI), machine learning, and data analytics workloads, which are driving organizations to seek flexible, scalable, and cost-effective TPU rental solutions.




    One of the primary growth factors for the TPU Rentalplace market is the exponential rise in AI and machine learning applications across multiple sectors. As organizations increasingly integrate AI-driven solutions for automation, predictive analytics, and cognitive computing, the need for specialized hardware accelerators such as Tensor Processing Units (TPUs) has surged. TPUs offer significant performance advantages over traditional CPUs and GPUs, especially in deep learning and neural network training tasks. The ability to rent TPUs on-demand, rather than investing in costly infrastructure, has made this model highly attractive for both established enterprises and startups, accelerating market adoption.




    Another key driver is the growing trend towards cloud computing and the proliferation of cloud-native applications. Cloud service providers now offer seamless TPU rental services, allowing organizations to scale their compute resources dynamically based on workload requirements. This flexibility not only reduces capital expenditures but also enables faster time-to-market for AI-driven products and services. Furthermore, the integration of TPUs into hybrid cloud and on-premises environments is enabling organizations with strict data residency or compliance needs to harness the power of TPUs without compromising on security or regulatory requirements. As a result, the TPU Rentalplace market is witnessing increased traction from sectors such as healthcare, finance, and government, where data sensitivity is paramount.




    The rapid advancements in scientific research and data analytics are also fueling market growth. Research institutes and universities are leveraging TPU rental services to accelerate complex simulations, genomic analysis, and large-scale data processing tasks. The ability to access high-performance TPUs on a rental basis democratizes access to cutting-edge computational resources, previously available only to well-funded organizations. This democratization is fostering innovation across disciplines, further propelling the expansion of the TPU Rentalplace market. Additionally, the growing ecosystem of AI frameworks and libraries optimized for TPUs is lowering the barrier to entry, enabling a wider range of users to benefit from these specialized accelerators.




    Regionally, North America continues to dominate the TPU Rentalplace market, driven by the presence of leading cloud service providers, a mature technology landscape, and high investment in AI research and development. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digital transformation, increasing adoption of AI technologies, and supportive government initiatives. Europe is also witnessing steady growth, particularly in sectors such as automotive, healthcare, and finance. The Middle East & Africa and Latin America are gradually catching up, as organizations in these regions recognize the value of TPU rental solutions for enhancing their AI capabilities and driving digital innovation.





    Product Type Analysis



    The TPU Rentalplace market by product type is segmented into Cloud TPU Rental, On-Premises TPU Rental, and Hybrid TPU Rental. Cloud TPU Rental has emerged as the most prominent segment, accounting for the largest share of the market in 2024. The widespread a

  7. OECD Housing Prices

    • kaggle.com
    Updated Nov 20, 2020
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    Selen Susuz (2020). OECD Housing Prices [Dataset]. https://www.kaggle.com/selensusuz/oecd-housing-prices/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 20, 2020
    Dataset provided by
    Kaggle
    Authors
    Selen Susuz
    Description

    Context

    This dataset is created via OECD datasource which is consisted of 2000 between 2020. https://data.oecd.org/price/housing-prices.htm

    Content

    The housing prices indicator shows indices of residential property prices over time. Included are rent prices, real and nominal house prices, and ratios of price to rent and price to income; the main elements of housing costs. In most cases, the nominal house price covers the sale of newly-built and existing dwellings, following the recommendations from RPPI (Residential Property Prices Indices) manual. The real house price is given by the ratio of nominal price to the consumers’ expenditure deflator in each country, both seasonally adjusted, from the OECD national accounts database. The price to income ratio is the nominal house price divided by the nominal disposable income per head and can be considered as a measure of affordability. The price to rent ratio is the nominal house price divided by the rent price and can be considered as a measure of the profitability of house ownership. This indicator is an index with base year 2015.

  8. American Housing Survey, 2009: New Orleans Data

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 18, 2016
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    United States. Bureau of the Census (2016). American Housing Survey, 2009: New Orleans Data [Dataset]. http://doi.org/10.3886/ICPSR30943.v1
    Explore at:
    stata, r, delimited, spss, sas, asciiAvailable download formats
    Dataset updated
    Apr 18, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30943/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30943/terms

    Time period covered
    2009
    Area covered
    New Orleans, Louisiana, United States
    Description

    This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a New Orleans metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

  9. O

    Online Rent Payment System Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 22, 2025
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    Data Insights Market (2025). Online Rent Payment System Report [Dataset]. https://www.datainsightsmarket.com/reports/online-rent-payment-system-1402656
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online rent payment system market is experiencing robust growth, driven by the increasing adoption of digital technologies within the property management sector and a rising preference for convenient, contactless payment options among both landlords and tenants. The market's expansion is fueled by several key factors, including the escalating demand for efficient property management solutions, the need for improved security and transparency in rent transactions, and the growing penetration of smartphones and internet access globally. Furthermore, the integration of online rent payment systems with other property management software simplifies administrative tasks, reducing operational costs for landlords and enhancing tenant satisfaction through streamlined processes. This trend is likely to continue, as property managers increasingly seek to optimize their operations and enhance their tenant relationships. The market is segmented by various factors including deployment type (cloud-based and on-premise), payment type (credit cards, debit cards, and e-wallets), and property type (residential and commercial). Competitive dynamics are intense, with a range of established players and emerging startups vying for market share. This competitive landscape fosters innovation and drives down costs, benefiting consumers and contributing to the overall growth of the market. While challenges like data security concerns and the need for wider internet accessibility in certain regions exist, the overall market outlook remains positive, indicating significant potential for continued growth throughout the forecast period. The continued expansion of the online rent payment market is further bolstered by the growing integration with other property management tools and the increasing adoption of automated systems for rent collection and tenant communication. The shift towards mobile-first strategies by many companies in the sector is contributing to enhanced user experience and wider adoption. However, the market is not without its challenges. Regulatory compliance concerning data security and privacy remain crucial aspects that companies must navigate effectively. Furthermore, the need to address potential disparities in technological access among different demographics ensures that inclusivity remains a critical factor in the future development of the market. The future of the market is likely to be shaped by advancements in artificial intelligence, blockchain technology, and improved security measures designed to enhance trust and reduce fraud. The ongoing innovation in the sector suggests a promising outlook for the continued growth of the online rent payment system market, despite the inherent challenges.

  10. Front Loader Rental Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 14, 2025
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    Growth Market Reports (2025). Front Loader Rental Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/front-loader-rental-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Front Loader Rental Market Outlook



    According to our latest research, the global Front Loader Rental Market size reached USD 9.2 billion in 2024, reflecting robust demand across diverse sectors such as construction, mining, and agriculture. The market is projected to grow at a CAGR of 6.1% from 2025 to 2033, reaching a forecasted size of USD 15.7 billion by 2033. This growth is primarily driven by the increasing adoption of rental solutions to optimize capital expenditure, the need for operational flexibility, and heightened infrastructure development activities worldwide.




    One of the key growth drivers for the Front Loader Rental Market is the surge in infrastructure development projects across both developed and emerging economies. Governments and private entities are investing heavily in new roads, bridges, urban expansion, and industrial parks, all of which require heavy machinery like front loaders. Renting front loaders allows construction companies and contractors to manage costs more effectively, avoid large capital outlays, and access the latest models equipped with advanced technology. This trend is particularly pronounced in rapidly urbanizing regions where project timelines are tight and equipment utilization rates must be maximized, further fueling market demand.




    Another significant factor contributing to market growth is the increasing focus on operational efficiency and sustainability. Many end-users are shifting towards rental models to reduce the burden of equipment maintenance, storage, and depreciation. Rental companies often provide well-maintained, up-to-date equipment, ensuring minimal downtime and compliance with stringent emission regulations. This is especially relevant in sectors like mining and waste management, where regulatory oversight is intensifying. The ability to scale equipment requirements up or down based on project needs without long-term commitments also enhances operational agility, making rentals an attractive option for businesses of all sizes.




    Technological advancements in front loader design and telematics are also propelling the Front Loader Rental Market forward. Modern front loaders are equipped with features such as fuel efficiency optimization, real-time monitoring, and enhanced safety systems. Rental fleets are increasingly integrating these innovations to attract clients seeking productivity and safety improvements. Additionally, digital platforms for equipment booking, tracking, and fleet management are streamlining the rental process, reducing administrative overheads, and improving customer experience. This digital transformation is expected to further accelerate market penetration, particularly among small and medium enterprises that benefit from easy access to advanced machinery.




    From a regional perspective, Asia Pacific holds the largest share of the Front Loader Rental Market in 2024, driven by substantial infrastructure investments in China, India, and Southeast Asia. North America and Europe also represent significant markets, characterized by mature construction sectors and a high degree of equipment rental penetration. In contrast, Latin America and the Middle East & Africa are witnessing steady growth, supported by ongoing urbanization and industrialization initiatives. Each region exhibits unique demand patterns based on local economic conditions, regulatory frameworks, and industry dynamics, contributing to a diverse and evolving global market landscape.





    Equipment Type Analysis



    The Equipment Type segment of the Front Loader Rental Market is categorized into wheel loaders, track loaders, mini loaders, and others. Among these, wheel loaders dominate the market due to their versatility, high load capacity, and widespread applicability across construction, mining, and agriculture. Wheel loaders are particularly favored for their ease of mobility, robust performance on various terrains, and ability to handle heavy-duty tasks such as material handling, excavation, and loading. Rental companies main

  11. Concrete Saw Rental Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 4, 2024
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    Dataintelo (2024). Concrete Saw Rental Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/concrete-saw-rental-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Concrete Saw Rental Market Outlook



    The global concrete saw rental market size was valued at approximately USD 1.3 billion in 2023 and is projected to reach around USD 2.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.4% during the forecast period. The market's growth is primarily driven by the increasing construction activities worldwide, coupled with the rising demand for efficient and cost-effective cutting tools.



    One of the major growth factors influencing the concrete saw rental market is the booming construction industry. Urbanization and industrial development have led to a significant increase in infrastructure projects across the globe. This surge has created a heightened demand for construction equipment, including concrete saws, as they are essential for cutting, shaping, and demolishing concrete structures. Renting equipment such as concrete saws offers a cost-effective solution for contractors who require the tools for short-term projects without the need for substantial capital investment.



    Another crucial growth factor is the trend towards equipment rental in the construction industry. Renting equipment rather than purchasing it outright allows companies to maintain financial flexibility, avoid maintenance costs, and access the latest technology. This shift is becoming more pronounced as construction firms aim to optimize their operations and manage budgets more effectively. Additionally, renting offers the advantage of readily available equipment without the long-term commitment of ownership, which is particularly beneficial for smaller construction firms and independent contractors.



    The advancements in concrete saw technology have also significantly influenced market growth. Innovations such as enhanced blade materials, improved ergonomics, and increased cutting efficiency have made concrete saws more effective and user-friendly. These technological advancements have expanded the application range of concrete saws, making them suitable for various construction tasks. As a result, more businesses are opting to rent the latest models to ensure they have access to the best tools for their projects, further propelling the market growth.



    From a regional perspective, North America and Asia-Pacific hold prominent positions in the concrete saw rental market. North America benefits from a mature construction market and a high rate of infrastructure upgrades, while Asia-Pacific's rapid urbanization and industrialization drive its market growth. The increasing investments in infrastructure development in countries like China and India are projected to offer significant growth opportunities for the concrete saw rental market in the region. Furthermore, the growing trend of smart city projects and sustainable construction practices is expected to fuel demand in these regions.



    Product Type Analysis



    In the concrete saw rental market, the product type segment includes handheld saws, walk-behind saws, wall saws, wire saws, and others. Handheld saws are popular due to their portability and ease of use in various construction environments. These saws are particularly useful for smaller, precision-cutting tasks and are favored by contractors who need versatile tools for different job sites. The demand for handheld saws is expected to remain strong, driven by their widespread application in both residential and commercial projects.



    Walk-behind saws are another significant segment within the concrete saw rental market. These saws are generally larger and more powerful than handheld saws, making them suitable for heavy-duty tasks such as road construction and large-scale demolition projects. The increasing number of road maintenance and infrastructure development projects globally is expected to boost the demand for walk-behind saws. Contractors prefer renting walk-behind saws due to their high cost and the specific nature of their usage, which may not justify a purchase.



    Wall saws, known for their precision and efficiency in cutting vertical surfaces, are gaining traction in the market. These saws are essential for creating openings in walls for windows, doors, and other structural modifications. The rise in renovation and remodeling activities in both residential and commercial sectors is likely to drive the demand for wall saws. Renting wall saws is a cost-effective option for contractors who require these specialized tools for specific projects.



    Wire saws represent another critical segment, known for their ability to cut through thick and reinforced co

  12. S

    Short-Term Rental Management Platform Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Feb 10, 2025
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    Market Research Forecast (2025). Short-Term Rental Management Platform Report [Dataset]. https://www.marketresearchforecast.com/reports/short-term-rental-management-platform-17926
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global short-term rental management platform market size was valued at USD XXX million in 2025 and is projected to reach USD XXX million by 2033, growing at a CAGR of XX% from 2025 to 2033. The market is driven by the increasing popularity of short-term rentals, the growing number of vacation rental properties, and the rising adoption of technology in the hospitality industry. Some of the key trends in the market include the increasing use of artificial intelligence (AI) and machine learning (ML) to automate tasks and improve efficiency, the development of new features and functionalities to enhance the guest experience, and the integration of short-term rental management platforms with other travel and hospitality services. The market is segmented by type, application, and region. By type, the market is divided into full-featured short-term rental management platforms, channel management platforms, automation platforms, and others. By application, the market is divided into commercial housing, apartments, and others. By region, the market is divided into North America, South America, Europe, the Middle East & Africa, and Asia Pacific. North America is the largest market for short-term rental management platforms, followed by Europe. Asia Pacific is expected to be the fastest-growing market in the coming years.

  13. V

    Vacation Rental Solution Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Archive Market Research (2025). Vacation Rental Solution Report [Dataset]. https://www.archivemarketresearch.com/reports/vacation-rental-solution-53306
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The vacation rental software market is experiencing robust growth, driven by the increasing popularity of short-term rentals and the expanding adoption of technology by property managers and owners. This market, estimated at $5 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of approximately $15 billion by 2033. Key drivers include the rising demand for streamlined property management tools, the need for enhanced guest communication and booking platforms, and the increasing preference for automated revenue management systems. The market is segmented by software and hardware solutions, catering to both large enterprises and small and medium-sized enterprises (SMEs). Large enterprises benefit from comprehensive platforms offering advanced features, while SMEs prioritize user-friendly, cost-effective solutions. Technological advancements, such as integration with channel management systems and dynamic pricing algorithms, are shaping market trends. However, restraints include the need for robust cybersecurity measures, the complexity of integrating with various existing systems, and the potential for high implementation costs for some solutions. The competitive landscape is populated by a diverse range of players, from established industry giants like RealPage (Kigo) to niche players focusing on specific market segments. The geographic distribution of the market is broad, with North America and Europe currently dominating market share due to higher tourist traffic and established short-term rental markets. However, growth in Asia-Pacific and other emerging markets is expected to accelerate in the coming years, driven by increasing disposable incomes and rising travel interest. The continued integration of artificial intelligence (AI) and machine learning (ML) into vacation rental software is expected to further enhance operational efficiency, automate tasks, and personalize the guest experience, driving future market expansion. Furthermore, the trend towards eco-friendly and sustainable tourism is influencing the development of software solutions that incorporate environmental considerations.

  14. Robot Rental Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Robot Rental Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-robot-rental-service-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Robot Rental Service Market Outlook



    The global robot rental service market size is projected to grow from USD 4.5 billion in 2023 to an estimated USD 13.2 billion by 2032, reflecting a compound annual growth rate (CAGR) of 12.5%. Factors such as the increasing adoption of automation across various industries, cost-effectiveness of rental services, and advancements in robotic technologies are driving this growth. The robot rental service market is becoming an attractive option for businesses seeking flexibility and scalability without the significant upfront costs associated with purchasing robotic systems.



    One of the primary growth factors in the robot rental service market is the rising demand for automation and robotics across a diverse range of industries. As companies aim to enhance operational efficiency and reduce labor costs, the flexibility offered by rental services allows them to integrate advanced robotic solutions without enduring the substantial capital expenditure required for outright purchase. Additionally, robot rental services provide the advantage of upgrading to the latest technologies and adapting to varying production needs without being locked into long-term investments in specific robotic systems.



    Another significant growth driver is the ongoing advancements in robotic technology, which are making robots more versatile, reliable, and cost-effective. Innovations in artificial intelligence, machine learning, and sensor technologies have greatly improved the capabilities of robots, enabling them to perform a wider array of tasks with increased precision and efficiency. These technological advancements make robot rental an increasingly attractive option for businesses seeking to stay competitive by leveraging cutting-edge automation solutions without the financial burden of ownership.



    The growing trend of Industry 4.0 and the Internet of Things (IoT) is also contributing to the expansion of the robot rental service market. As industries move towards more connected and intelligent manufacturing processes, the integration of robotics becomes essential. Robot rental services provide businesses with the flexibility to experiment with different robotic solutions and scale their operations according to their specific needs, aligning with the principles of Industry 4.0. Additionally, the ability to rent robots on a short-term basis allows companies to respond swiftly to fluctuations in demand or changes in production requirements.



    With the rise of remote work and the need for seamless communication across distances, the Virtual Telepresence Robot is becoming an increasingly popular solution in various sectors. These robots enable individuals to be virtually present in a different location, offering real-time interaction and engagement without the need for physical travel. This technology is particularly beneficial in industries such as healthcare, education, and corporate environments, where face-to-face interaction is crucial. By renting Virtual Telepresence Robots, businesses can enhance collaboration and communication efficiency, making it a cost-effective alternative to traditional travel and meetings. The flexibility of renting allows organizations to adapt to changing needs and technological advancements, ensuring they remain competitive in a rapidly evolving digital landscape.



    Regionally, the Asia Pacific region is expected to dominate the robot rental service market, driven by rapid industrialization and the growing adoption of automation in countries like China, Japan, and South Korea. North America and Europe are also significant markets due to the high demand for advanced robotics in their well-established industrial sectors. The Middle East & Africa and Latin America are emerging markets with significant potential, fueled by increasing investments in automation and smart manufacturing technologies.



    Robot Type Analysis



    The robot rental service market can be segmented by robot type, including industrial robots, service robots, collaborative robots, and others. Industrial robots are the most commonly rented type, owing to their widespread application in manufacturing and heavy industries. These robots are designed for tasks such as welding, painting, assembly, and material handling, which require high precision and efficiency. Companies in sectors like automotive and electronics often rent industrial robots to optimize production processes and improve productivity.



    S

  15. S

    Skid Steer Loader Rental Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 9, 2025
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    Archive Market Research (2025). Skid Steer Loader Rental Report [Dataset]. https://www.archivemarketresearch.com/reports/skid-steer-loader-rental-14380
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Market Overview The global skid steer loader rental market is projected to reach a valuation of approximately [Value Unit] million by 2033, exhibiting a CAGR of [XX]% during the forecast period from 2023 to 2033. The market growth is primarily attributed to the rising demand for skid steer loaders in construction, agriculture, and forestry industries. Their versatility and efficiency in handling materials and performing various tasks contribute to their popularity in these sectors. Additionally, the increasing adoption of rental services, driven by factors such as cost efficiency and flexibility, further fuels market growth. Market Dynamics Key drivers shaping the skid steer loader rental market include the growing construction industry, especially in developing regions, and the increasing focus on infrastructure development. The agriculture and forestry sectors also play a significant role in driving demand. The market benefits from the presence of established players such as Home Depot, United Rentals, and Caterpillar, offering a wide range of skid steer loader models and ensuring reliable rental services. The availability of advanced technologies, such as GPS navigation and automated features, further enhances the functionality of skid steer loaders, making them more desirable for rental. However, factors like fluctuating fuel prices and stringent environmental regulations can pose challenges to the market.

  16. U

    Utility Vehicle Rental Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 27, 2025
    + more versions
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    Data Insights Market (2025). Utility Vehicle Rental Service Report [Dataset]. https://www.datainsightsmarket.com/reports/utility-vehicle-rental-service-533544
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global utility vehicle rental services market is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The market growth is attributed to the increasing demand for utility vehicles in various industries, including construction, agriculture, and mining. These vehicles offer enhanced mobility, versatility, and efficiency in harsh environments, making them ideal for a wide range of tasks. Additionally, the growing adoption of electric utility vehicles is expected to fuel market growth due to their environmental benefits and reduced operating costs. Key market players include United Rentals, Herc Rentals, Sunbelt Rentals, The Cat Rental Store, and Viarent Hungary. These companies offer a wide range of utility vehicles, including gasoline-powered and electric models, to meet the diverse needs of customers. Strategic partnerships and acquisitions are common in the industry, as companies seek to expand their geographic reach and product offerings. The market is also characterized by the presence of regional and local rental providers, which cater to specific market segments and provide customized solutions.

  17. C

    Confined Space Equipment Rental Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Feb 23, 2025
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    Market Research Forecast (2025). Confined Space Equipment Rental Report [Dataset]. https://www.marketresearchforecast.com/reports/confined-space-equipment-rental-23752
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global confined space equipment rental market size was valued at USD 1.2 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 6.3% from 2023 to 2033. The market growth is attributed to the increasing adoption of confined space equipment in various industries, such as construction, manufacturing, and mining. Additionally, the growing awareness of safety regulations and the need for efficient and safe equipment are driving the market growth. The market is segmented based on application, type, and region. By application, the industrial segment is expected to hold the largest market share during the forecast period. This growth is attributed to the increasing demand for confined space equipment in the construction industry for tasks such as welding, painting, and maintenance. By type, the short-term rental segment is expected to witness significant growth during the forecast period. This growth is attributed to the increasing adoption of short-term rentals by small and medium-sized businesses and individuals who require confined space equipment for a shorter duration. Regionally, North America is expected to hold the largest market share during the forecast period. This growth is attributed to the presence of a well-established construction industry and stringent safety regulations in the region.

  18. w

    Global Vacation Rental Property Management Software Market Research Report:...

    • wiseguyreports.com
    Updated Aug 10, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Vacation Rental Property Management Software Market Research Report: By Deployment Model (Cloud-based, On-premise), By Property Type (Single-family Homes, Multi-family Homes, Vacation Homes, Other), By Functionality (Property Management, Reservation Management, Guest Management, Payment Processing, Marketing and Channel Management), By End User (Individual Vacation Rental Owners, Property Management Companies, Hotel Groups), By Pricing Model (Subscription-based, Transaction-based, Pay-per-use) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/vacation-rental-property-management-software-market
    Explore at:
    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202311.16(USD Billion)
    MARKET SIZE 202412.49(USD Billion)
    MARKET SIZE 203230.66(USD Billion)
    SEGMENTS COVEREDDeployment Model ,Property Type ,Functionality ,End User ,Pricing Model ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSRising vacation rental demand Advancements in technology Integration with other software Focus on guest experience Growing popularity of alternative accommodations
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDOwnerRez ,Hostfully ,Guesty ,Airbnb ,Rentals United ,Vrbo ,Oracle Hospitality ,Infor ,Google LLC ,Expedia Group ,BookingPal ,Escapia ,Kigo ,HomeAway
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIES1 Increasing demand for vacation rentals The vacation rental market is expected to grow from USD 9854 billion in 2023 to USD 17823 billion by 2029 at a CAGR of 87 This growth is driven by factors such as rising disposable income increasing urbanization and growing popularity of online travel agencies 2 Growing adoption of property management software The vacation rental property management software market is expected to grow from USD 147 billion in 2023 to USD 252 billion by 2029 at a CAGR of 83 This growth is driven by factors such as the increasing complexity of managing vacation rentals the need for efficient operations and the growing adoption of cloudbased software 3 Integration with other platforms Vacation rental property management software is increasingly being integrated with other platforms such as online travel agencies payment gateways and customer relationship management systems This integration allows property managers to streamline their operations and provide a better experience for their guests 4 Artificial intelligence and machine learning Artificial intelligence AI and machine learning ML are being increasingly used in vacation rental property management software AI and ML can be used to automate tasks improve guest experiences and identify opportunities for growth 5 Growth in emerging markets The vacation rental property management software market is expected to grow in emerging markets such as AsiaPacific and Latin America This growth is driven by factors such as rising disposable income increasing urbanization and growing popularity of online travel agencies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 11.89% (2025 - 2032)
  19. Global Power Bank Rental Service Market Size By End-User, By Location-Based,...

    • verifiedmarketresearch.com
    Updated Feb 19, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Power Bank Rental Service Market Size By End-User, By Location-Based, By Business Model, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/power-bank-rental-service-market/
    Explore at:
    Dataset updated
    Feb 19, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Power Bank Rental Service Market size was valued at USD 25 Billion in 2023 and is projected to reach USD 31 Billion by 2030, growing at a CAGR of 25.1% during the forecast period 2024-2030.

    Global Power Bank Rental Service Market Drivers

    The market drivers for the Power Bank Rental Service Market can be influenced by various factors. These may include:

    Growing Reliance on cellphones: As people rely more and more on cellphones for a variety of tasks, the need for power banks has increased. The market for power bank rentals is driven by the growing need for portable, on-the-go charging options as consumers rely increasingly on their electronics.

    Growing Knowledge of Solutions for Portable Charging: Customers are become more aware of the advantages of having portable chargers with them as the significance of remaining connected grows. Services for renting out power banks offer consumers an easy way to charge their gadgets whenever they need it.

    Increase in Travel and Tourism: The demand for power bank rental services is influenced by the travel-related industries and the travel industry itself. Portable charging solutions are essential for travellers since they frequently find themselves in locations with limited access to conventional charging stations.

    Event Sponsorships and Partnerships: By forming alliances with public venues, transit providers, or event planners, power bank rental businesses can become more widely known and easily accessible. Convenient charging solutions are necessary in popular venues such as airports, festivals, conferences, and events.

    Urbanization and Commuting Patterns: On-the-go charging solutions are particularly necessary in metropolitan areas since residents lead busy lives and spend lengthy hours travelling. Services for renting out power banks can meet the needs of people living in cities.

    Emphasis on Sustainable Solutions: Since there is a growing focus on sustainability and minimizing technological waste, consumers might find it more convenient to rent power banks rather than buy inexpensive chargers or single-use disposable batteries. A more sustainable strategy for supplying electricity demands can benefit from the use of rental services.

    Technological Advancements: Users may be drawn to rental businesses that provide the newest and most effective charging options by power bank technological advancements like quicker charging speeds, larger capacities, and more compact designs.

    Mobile App Integration: By streamlining the rental and return procedures, giving users immediate access to power bank availability, and providing convenient payment methods, mobile applications can improve customer satisfaction and encourage the usage of power bank rental services.

    Flexible Business Models: Power bank rental services can attract a wider spectrum of customers and foster market expansion by providing flexible rental plans, competitive pricing, and value-added services.

  20. Homeownership rate in Europe 2023, by country

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Homeownership rate in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/246355/home-ownership-rate-in-europe/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Europe
    Description

    In the presented European countries, the homeownership rate extended from 42 percent in Switzerland to as much as 96 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 27 European countries has remained relatively stable over the past few years. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2023, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria - one of the most expensive European countries to buy a new dwelling in - the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2023, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.

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ESRI R&D Center (2019). Short Term Rentals [Dataset]. https://ckan-dcdev.hub.arcgis.com/maps/b381b0a0350843c4a47477926e1bffd7
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Short Term Rentals

Explore at:
Dataset updated
Feb 15, 2019
Dataset provided by
Esrihttp://esri.com/
Authors
ESRI R&D Center
Description

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:

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.

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