100+ datasets found
  1. d

    Housing Landlord-Tenant Disputes

    • catalog.data.gov
    • data.montgomerycountymd.gov
    Updated Jun 7, 2025
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    data.montgomerycountymd.gov (2025). Housing Landlord-Tenant Disputes [Dataset]. https://catalog.data.gov/dataset/housing-landlord-tenant-disputes
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    The Housing Landlord-Tenant Case Tracking dataset includes tracking information, complaints and individual case dispositions. The data is updated monthly.

  2. D

    End of Tenancy Survey - Pilot

    • data.nsw.gov.au
    csv, pdf
    Updated Nov 3, 2022
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    Fair Trading (2022). End of Tenancy Survey - Pilot [Dataset]. https://data.nsw.gov.au/data/dataset/end-of-tenancy-survey-pilot
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    pdf(393854), csv(2624789)Available download formats
    Dataset updated
    Nov 3, 2022
    Dataset provided by
    Fair Trading
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NSW Tenancy laws say how residential tenancy agreements can be ended. Tenancies are usually terminated by the tenant, landlord, the landlord's agent, or by a Tribunal order. Fair Trading conducted an end-of tenancy survey to collect data about how and why tenancies end. This survey was designed to help Fair Trading to better understand the renting experience to help inform future tenancy reforms.

    The survey process: Every principal tenant and landlord or nominated agent is asked to complete a survey when a bond claim is finalised through an online bonds system. Survey invitations are sent by email and participation is voluntary. Individual responses are kept anonymous.

    Fair Trading conducted a pilot end of tenancy survey which ran from 2 December 2019 to 30 March 2020 and from 27 April to 11 May 2020.

    To mitigate re-identification risks, postcode information has been removed and response dates grouped into months. It should be noted that the representativeness of the survey data is limited, including because: • participation is voluntary • the survey only includes respondents who used Rental Bonds Online to lodge and claim their rental bond, so the sample does not extend to all terminated tenancies • no demographic information is collected • some tenancies had duplicate responses • domestic violence victims may also self-select out of completing such a survey, given their vulnerability and the difficult circumstances they may experience after ending a tenancy.

  3. D

    End of Tenancy Survey

    • data.nsw.gov.au
    csv, pdf
    Updated Nov 29, 2022
    + more versions
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    Fair Trading (2022). End of Tenancy Survey [Dataset]. https://data.nsw.gov.au/data/dataset/end-of-tenancy-survey
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    csv(15652584), csv(9815), csv(4746222), pdf(91779)Available download formats
    Dataset updated
    Nov 29, 2022
    Dataset provided by
    Fair Trading
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NSW Tenancy laws say how residential tenancy agreements can be ended. Tenancies are usually terminated by the tenant, landlord, the landlord's agent, or by a Tribunal order. Fair Trading conducts an end-of tenancy survey to collect data about how and why tenancies end. This survey was designed to help Fair Trading to better understand the renting experience to help inform future tenancy reforms. The current survey commenced on 2 August 2021. The survey process Every principal tenant and landlord or nominated agent is asked to complete a survey when a bond claim is finalised through an online bonds system. Survey invitations are sent by email and participation is voluntary. Individual responses are kept anonymous. Fair Trading initially conducted a pilot survey in 2019/2020. Results from that survey informed the current ongoing end of tenancy survey. The end of tenancy survey The survey data is collected quarterly, and is available to download for use by the community, research, business and industry. To mitigate re-identification risks, postcode information has been removed and response dates grouped into months. It should be noted that the representativeness of the survey data is limited, including because: * participation is voluntary * the survey only includes respondents who used Rental Bonds Online to lodge and claim their rental bond, so the sample does not extend to all terminated tenancies * no demographic information is collected * some tenancies had duplicate responses * domestic violence victims may also self-select out of completing such a survey, given their vulnerability and the difficult circumstances they may experience after ending a tenancy. * The survey commenced in August 2021

  4. d

    Downtown Tenants

    • catalog.data.gov
    • data.amerigeoss.org
    • +2more
    Updated Jan 31, 2025
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    Town of Chapel Hill (2025). Downtown Tenants [Dataset]. https://catalog.data.gov/dataset/downtown-tenants
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Town of Chapel Hill
    Description

    Downtown City Tenant Information: Includes tenant name, address, Business open date, close date, years in business, and independent vs. chain. Data provided by the Chapel Hill Downtown Partnership; data is accurate to the best of their knowledge. Prepared and published in collaboration with Chapel Hill Open Data.

  5. Student housing tenancy types globally 2016-2017

    • statista.com
    Updated Jun 9, 2022
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    Statista (2022). Student housing tenancy types globally 2016-2017 [Dataset]. https://www.statista.com/statistics/934178/tenancy-type-student-housing-globally-by-region/
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    Dataset updated
    Jun 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2016 - Aug 2017
    Area covered
    Worldwide
    Description

    This statistic shows the types of student housing tenancies worldwide in 2016 and 2017, by region. In the Middle East, 90 percent of students rented accommodation for the full academic year, whereas only 78 percent of student in the U.S. did the same.

  6. United States All Tenant Regressed Rent Index

    • ceicdata.com
    Updated Feb 4, 2025
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    CEICdata.com (2025). United States All Tenant Regressed Rent Index [Dataset]. https://www.ceicdata.com/en/united-states/tenant-rent-index/all-tenant-regressed-rent-index
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    United States All Tenant Regressed Rent Index data was reported at 201.766 Mar2000=100 in Dec 2024. This records an increase from the previous number of 200.459 Mar2000=100 for Sep 2024. United States All Tenant Regressed Rent Index data is updated quarterly, averaging 129.848 Mar2000=100 from Dec 1999 (Median) to Dec 2024, with 101 observations. The data reached an all-time high of 201.766 Mar2000=100 in Dec 2024 and a record low of 102.275 Mar2000=100 in Dec 1999. United States All Tenant Regressed Rent Index data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I127: Tenant Rent Index: Old Methodology.

  7. United States New Tenant Rent Index: YoY

    • ceicdata.com
    Updated Jul 20, 2024
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    CEICdata.com (2024). United States New Tenant Rent Index: YoY [Dataset]. https://www.ceicdata.com/en/united-states/tenant-rent-index
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    New Tenant Rent Index: YoY data was reported at -2.425 % in Dec 2024. This records a decrease from the previous number of 1.572 % for Sep 2024. New Tenant Rent Index: YoY data is updated quarterly, averaging 2.718 % from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 12.085 % in Jun 2022 and a record low of -3.127 % in Dec 2009. New Tenant Rent Index: YoY data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I127: Tenant Rent Index: Old Methodology.

  8. F

    Personal consumption expenditures: Services: Housing: Rental of...

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
    + more versions
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    (2025). Personal consumption expenditures: Services: Housing: Rental of tenant-occupied nonfarm housing [Dataset]. https://fred.stlouisfed.org/series/DTENRC1A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Personal consumption expenditures: Services: Housing: Rental of tenant-occupied nonfarm housing (DTENRC1A027NBEA) from 1929 to 2024 about rent, nonfarm, PCE, consumption expenditures, consumption, personal, services, housing, GDP, and USA.

  9. i

    Households, by tenancy regime of the dwelling and Autonomous Community.

    • ine.es
    csv, html, json +4
    Updated Jun 21, 2018
    + more versions
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    INE - Instituto Nacional de Estadística (2018). Households, by tenancy regime of the dwelling and Autonomous Community. [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=4566&L=1
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    txt, json, xls, xlsx, csv, html, text/pc-axisAvailable download formats
    Dataset updated
    Jun 21, 2018
    Dataset authored and provided by
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2004 - Jan 1, 2024
    Variables measured
    Type of data, Main household ownership regime, Autonomous Communities and Cities
    Description

    Living Conditions Survey (LCS): Households, by tenancy regime of the dwelling and Autonomous Community. Annual. Autonomous Communities and Cities.

  10. Home tenancy rate in Spain 2004-2019

    • statista.com
    Updated Jan 27, 2022
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    Statista (2022). Home tenancy rate in Spain 2004-2019 [Dataset]. https://www.statista.com/statistics/1185388/housing-tenancy-in-spain-by-type/
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    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    This statistic shows the share of people that rented a home in Spain in 2019, broken down by the two different types of tenancy scheme. As of 2019, the share of people that rented a home at market price stood at 10 percent, while in contrast, those that rented below market price made up only 4 percent of tenants in Spain.

  11. g

    Dwellings let to new tenants on an introductory tenancy | gimi9.com

    • gimi9.com
    + more versions
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    Dwellings let to new tenants on an introductory tenancy | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_dwellings-let-to-new-tenants-on-an-introductory-tenancy/
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    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The Housing Strategy Statistical Appendix (HSSA) is a statistical return to support the LA's annual Housing Strategy. It is mainly basic and policy orientated data on all tenures within each local authority's own geographical area and covers a wide range of information such as: Dwelling Stock and Vacants, Waiting lists, Lettings and Homelessness, Houses in Multiple Occupation, Capital Expenditure and Receipts, and Cash Incentive Schemes, Private Sector Housing Renewal Assistance and Provision of Affordable Housing. The Housing Strategy Statistical Appendix (HSSA), the Business Plan Statistical Appendix (BPSA) and the local authority housing sales monitoring (P1B) forms were replaced by the Local Authority Housing Statistics.

  12. r

    Rental Bond and Rental Data August 2016

    • researchdata.edu.au
    • data.gov.au
    • +2more
    Updated Sep 19, 2016
    + more versions
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    Department of Justice (Tasmania) (2016). Rental Bond and Rental Data August 2016 [Dataset]. https://researchdata.edu.au/rental-bond-rental-august-2016/2982181
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    Dataset updated
    Sep 19, 2016
    Dataset provided by
    data.gov.au
    Authors
    Department of Justice (Tasmania)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    An extract from the Tasmanian rental bonds management database for the month of August 2016 with identifying data fields removed.

  13. w

    Dataset of books called Shared tenancy

    • workwithdata.com
    Updated Jun 28, 2024
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    Work With Data (2024). Dataset of books called Shared tenancy [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Shared+tenancy
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    Dataset updated
    Jun 28, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Shared tenancy. It features 7 columns including author, publication date, language, and book publisher.

  14. w

    Tenancy and residents groups

    • data.wu.ac.at
    • data.europa.eu
    csv, html
    Updated Aug 1, 2017
    + more versions
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    Leeds City Council (2017). Tenancy and residents groups [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/Nzg0NzE4ZTktMzkyNC00MWUzLTlhNmYtYWM3NTI1NzllYTg2
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    html, csv(13268.0)Available download formats
    Dataset updated
    Aug 1, 2017
    Dataset provided by
    Leeds City Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Registered tenancy and residents groups in Leeds. Please note This dataset was produced as a one off for the city intelligence innovation lab. To find out about the lab click here: https://datamillnorth.org/dataset/city-intelligence-innovation-lab

  15. o

    CORE - Social housing lettings (LA owned) - Tenancy type

    • opendatacommunities.org
    • data.europa.eu
    Updated Feb 8, 2018
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    (2018). CORE - Social housing lettings (LA owned) - Tenancy type [Dataset]. https://opendatacommunities.org/resource?uri=http%3A%2F%2Fopendatacommunities.org%2Fdata%2Fhousing-market%2Fcore%2Ftenancies%2Ftentype
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    Dataset updated
    Feb 8, 2018
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset comprises new general needs lettings, let at social rent levels owned by Local Authorities, classified by type of main tenancy.

  16. Frequency of landlord-tenant disputes in the United Kingdom 2019

    • statista.com
    Updated Jun 3, 2021
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    Statista (2021). Frequency of landlord-tenant disputes in the United Kingdom 2019 [Dataset]. https://www.statista.com/statistics/1120617/landlord-tenant-disputes-frequency-united-kingdom/
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    Dataset updated
    Jun 3, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 8, 2020 - May 15, 2020
    Area covered
    United Kingdom
    Description

    According to a survey among 755 residential landlords based in the United Kingdom (UK) in 2019, more than half of respondents have had disputes with their tenants. Nevertheless, 35 percent of landlords experienced disagreements once or less than once a year. Most often, disputes were over arrears, cleanliness, pets, subletting or breakages.

  17. d

    Rental Bond and Rental Data July 2024 to June 2025

    • data.gov.au
    • researchdata.edu.au
    excel (.xlsx), xlsx
    Updated May 30, 2025
    + more versions
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    Department of Justice (Tasmania) (2025). Rental Bond and Rental Data July 2024 to June 2025 [Dataset]. https://data.gov.au/data/dataset/rental-bond-and-rental-data-july-2024-to-june-2025
    Explore at:
    excel (.xlsx)(220342), excel (.xlsx)(217591), xlsx(222832), xlsx(225044), excel (.xlsx)(192549), excel (.xlsx)(643072), excel (.xlsx)(230905), excel (.xlsx)(197082), excel (.xlsx)(355116), excel (.xlsx)(245803)Available download formats
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Department of Justice (Tasmania)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A group of datasets that records suburb, rent, bond amount, dwelling type, number of bedrooms, length of tenancy

  18. D

    Rental Bond Lodgement

    • data.nsw.gov.au
    • data.wu.ac.at
    website link
    Updated Oct 6, 2022
    + more versions
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    Fair Trading (2022). Rental Bond Lodgement [Dataset]. https://data.nsw.gov.au/data/dataset/rental-bond-lodgement
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    website linkAvailable download formats
    Dataset updated
    Oct 6, 2022
    Dataset provided by
    Fair Trading
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data on rental bonds lodged is provided by postcode and may indicate recent rent values. The data includes dwelling type, weekly rent amount and number of bedrooms. This data is provided by the agent or landlord at the beginning of a tenancy. Lodgement data is provided each month and annual data is also available for the previous calendar year.

  19. d

    Landlord/Tenant Monthly Caseload CY 2023-2024

    • catalog.data.gov
    • data.texas.gov
    Updated May 25, 2025
    + more versions
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    data.austintexas.gov (2025). Landlord/Tenant Monthly Caseload CY 2023-2024 [Dataset]. https://catalog.data.gov/dataset/landlord-tenant-monthly-caseload-cy-2023
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    Dataset updated
    May 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    The dataset contains monthly Landlord/Tenant caseload information by court from January 2023- Present. Landlord/Tenant cases include: 1) Eviction- All suits for eviction (recovery of possession of premises) brought to recover possession of real property under Chapter 24 of the Texas Property Code, often by a landlord against a tenant. A claim for rent may be joined with an eviction case if the amount of rent due and unpaid is not more than $20,000, excluding statutory interest and court costs but including attorney fees, if any. Eviction cases filed on or after September 1, 2023, are governed by Rules 500-507 and 510 for Part V of the Rules of Civil Procedure. 2) Repair and Remedy- A case by a residential tenant under Chapter 92, Subchapter B, of the Texas Property Code to enforce the landlord’s duty to repair or remedy a condition materially affecting the physical health or safety of an ordinary tenant. Repair and remedy cases filed on or after September 1, 2013, are governed by Rules 500-507 and 509 of Part V of the Rules of Civil Procedure. Because of the submission deadlines for reports, the most recent monthly data will be two months behind.

  20. Housing SA Disruptive Tenancies by Severity

    • data.gov.au
    csv
    Updated Apr 9, 2019
    + more versions
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    SA Housing Authority (2019). Housing SA Disruptive Tenancies by Severity [Dataset]. https://data.gov.au/dataset/housing-sa-disruptive-tenancies-by-severity-2015
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    csvAvailable download formats
    Dataset updated
    Apr 9, 2019
    Dataset provided by
    SA Housing Authorityhttps://www.housing.sa.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The number of disruptive tenancy complaints by severity during financial year. The dataset includes: Housing SA region, Housing SA office, severity of complaint (e.g. minor, moderate, serious), total number of complaints. Note: • Disruptive tenancy complaints made against public and Aboriginal housing tenancies only. • Includes substantiated and un-substantiated disruptive tenancy complaints. • A ‘*’ will be displayed where an individual record is equal to or less than five. The number of disruptive tenancy complaints by severity during financial year. The dataset includes: Housing SA region, Housing SA office, severity of complaint (e.g. minor, moderate, serious), total number of complaints. Note: • Disruptive tenancy complaints made against public and Aboriginal housing tenancies only. • Includes substantiated and un-substantiated disruptive tenancy complaints. • A ‘*’ will be displayed where an individual record is equal to or less than five.

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data.montgomerycountymd.gov (2025). Housing Landlord-Tenant Disputes [Dataset]. https://catalog.data.gov/dataset/housing-landlord-tenant-disputes

Housing Landlord-Tenant Disputes

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 7, 2025
Dataset provided by
data.montgomerycountymd.gov
Description

The Housing Landlord-Tenant Case Tracking dataset includes tracking information, complaints and individual case dispositions. The data is updated monthly.

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