11 datasets found
  1. m

    Emergency Assistance (EA) Family Shelter Resources and Data

    • mass.gov
    Updated Sep 29, 2017
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    Executive Office of Housing and Livable Communities (2025). Emergency Assistance (EA) Family Shelter Resources and Data [Dataset]. https://www.mass.gov/info-details/emergency-assistance-ea-family-shelter-resources-and-data
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    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    Executive Office of Housing and Livable Communities
    Area covered
    Massachusetts
    Description

    There are several forms, regulations and data associated with the Emergency Assistance (EA) Family Shelter Program for our business partners and constituents.

  2. Monthly apartment rent and rental growth in Boston, MA, 2018-2023

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Monthly apartment rent and rental growth in Boston, MA, 2018-2023 [Dataset]. https://www.statista.com/statistics/1365735/apartment-rent-and-rental-growth-boston/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2023
    Area covered
    Massachusetts
    Description

    The median rent for one- and two-bedroom apartments in Boston, Massachusetts, amounted to about ***** U.S. dollars by the end of 2023. Rents decreased slightly after the beginning of the coronavirus pandemic,this trend reversed in 2021 and as of December 2023, the annual rental growth stood at **** percent. Among the different states in the U.S., Massachusetts ranks as one of the most expensive rental markets.

  3. A

    Short-Term Rental Eligibility

    • data.boston.gov
    csv
    Updated Sep 9, 2025
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    Department of Innovation and Technology (2025). Short-Term Rental Eligibility [Dataset]. https://data.boston.gov/dataset/short-term-rental-eligibility
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    csv(28781506)Available download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Department of Innovation and Technology
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Click here to check Short-Term Rental Eligibility

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

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

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

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


    ABOUT THIS DATASET

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

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


    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.”

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


    WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

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

    1. No affordability covenant restrictions

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

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

      • For questions about affordability covenants, contact the Department of Neighborhood Development.

    2. Compliance with housing laws and codes

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

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

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

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

      • No unit owned by the owner of a “Problem Property” may register a short-term rental.

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

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

      • NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.

      • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

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

      • NOTE: Only violations written on or after 1/1/19 will count against this criteria.

      • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

      • How to comply with housing laws and codes:

      • Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).

      • Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.

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

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

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

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

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

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

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

    4. Owner-occupied

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

        • Home-Share
        • Limited-Share

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

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

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

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

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

  4. M

    Morocco MA: BoP: Current Account: Primary Income: Others: Rent: Credit

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Morocco MA: BoP: Current Account: Primary Income: Others: Rent: Credit [Dataset]. https://www.ceicdata.com/en/morocco/bpm6-balance-of-payments-detailed-presentation-annual/ma-bop-current-account-primary-income-others-rent-credit
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2014 - Dec 1, 2017
    Area covered
    Morocco
    Variables measured
    Balance of Payment
    Description

    Morocco MA: BoP: Current Account: Primary Income: Others: Rent: Credit data was reported at 76.809 USD mn in 2017. This records an increase from the previous number of 62.258 USD mn for 2016. Morocco MA: BoP: Current Account: Primary Income: Others: Rent: Credit data is updated yearly, averaging 56.511 USD mn from Dec 2014 (Median) to 2017, with 4 observations. The data reached an all-time high of 76.809 USD mn in 2017 and a record low of 49.723 USD mn in 2014. Morocco MA: BoP: Current Account: Primary Income: Others: Rent: Credit data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Morocco – Table MA.IMF.BOP: BPM6: Balance of Payments: Detailed Presentation: Annual.

  5. A

    RentSmart

    • data.boston.gov
    csv
    Updated Sep 8, 2025
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    DoIT Data & Analytics (2025). RentSmart [Dataset]. https://data.boston.gov/dataset/rentsmart
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    csv(68745), csv(334038036), csv(913447518), csv(3837230677), csv(722884527), csv(1640759925), csv(1672482519), csv(1635984834), csv(919503), csv(3889593232), csv(412822954), csv(591652637), csv(66572723)Available download formats
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    DoIT Data & Analytics
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    RentSmart Boston compiles data from BOS:311 and the City's Inspectional Services Division to give prospective tenants a more complete picture of the homes and apartments they are considering renting, assisting them in understanding any previous issues with the property, including: housing violations, building violations, enforcement violations, housing complaints, sanitation requests, and/or civic maintenance requests.

    You can look up individual properties using the RentSmart dashboard here.

  6. Myanmar Household Expenditure: MA: Urban: NF: House Rent & Repairs

    • ceicdata.com
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    CEICdata.com, Myanmar Household Expenditure: MA: Urban: NF: House Rent & Repairs [Dataset]. https://www.ceicdata.com/en/myanmar/household-expenditure-survey-monthly-household-expenditure-urban/household-expenditure-ma-urban-nf-house-rent--repairs
    Explore at:
    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
    Dec 1, 1989 - Dec 1, 2012
    Area covered
    Myanmar (Burma)
    Variables measured
    Household Income and Expenditure Survey
    Description

    Myanmar Household Expenditure: MA: Urban: NF: House Rent & Repairs data was reported at 5,921.030 MMK in 2012. This records an increase from the previous number of 2,573.110 MMK for 2006. Myanmar Household Expenditure: MA: Urban: NF: House Rent & Repairs data is updated yearly, averaging 1,595.125 MMK from Dec 1989 (Median) to 2012, with 6 observations. The data reached an all-time high of 10,994.900 MMK in 2005 and a record low of 36.010 MMK in 1989. Myanmar Household Expenditure: MA: Urban: NF: House Rent & Repairs data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.H005: Household Expenditure Survey: Monthly Household Expenditure: Urban.

  7. M

    Malaysia Exp Per Household: Sabah: MA: HW: Imputed Rent

    • ceicdata.com
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    CEICdata.com, Malaysia Exp Per Household: Sabah: MA: HW: Imputed Rent [Dataset]. https://www.ceicdata.com/en/malaysia/household-expenditure-survey-sabah/exp-per-household-sabah-ma-hw-imputed-rent
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2005 - May 1, 2016
    Area covered
    Malaysia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Malaysia Exp Per Household: Sabah: MA: HW: Imputed Rent data was reported at 471.850 MYR in 2016. This records an increase from the previous number of 420.675 MYR for 2014. Malaysia Exp Per Household: Sabah: MA: HW: Imputed Rent data is updated yearly, averaging 333.962 MYR from May 2005 (Median) to 2016, with 4 observations. The data reached an all-time high of 471.850 MYR in 2016 and a record low of 216.730 MYR in 2005. Malaysia Exp Per Household: Sabah: MA: HW: Imputed Rent data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H039: Household Expenditure Survey: Sabah.

  8. U

    United States GDPS: 2009p: MA: PI: Fin, Insurance, Real Estate, Rent & Lease...

    • ceicdata.com
    + more versions
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    CEICdata.com, United States GDPS: 2009p: MA: PI: Fin, Insurance, Real Estate, Rent & Lease (FIRR [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2013-gross-domestic-product-by-state-2009-price-chain-linked/gdps-2009p-ma-pi-fin-insurance-real-estate-rent--lease-firr
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States GDPS: 2009p: MA: PI: Fin, Insurance, Real Estate, Rent & Lease (FIRR data was reported at 101.833 USD bn in 2017. This records an increase from the previous number of 99.570 USD bn for 2016. United States GDPS: 2009p: MA: PI: Fin, Insurance, Real Estate, Rent & Lease (FIRR data is updated yearly, averaging 86.345 USD bn from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 101.833 USD bn in 2017 and a record low of 64.254 USD bn in 1997. United States GDPS: 2009p: MA: PI: Fin, Insurance, Real Estate, Rent & Lease (FIRR data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A104: NIPA 2013: Gross Domestic Product by State: 2009 Price: Chain Linked.

  9. Malaysia Exp Per Household: RR: MA: HW: Actual Rental Paid

    • ceicdata.com
    + more versions
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    CEICdata.com, Malaysia Exp Per Household: RR: MA: HW: Actual Rental Paid [Dataset]. https://www.ceicdata.com/en/malaysia/household-expenditure-survey/exp-per-household-rr-ma-hw-actual-rental-paid
    Explore at:
    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
    May 1, 2005 - May 1, 2016
    Area covered
    Malaysia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Malaysia Exp Per Household: RR: MA: HW: Actual Rental Paid data was reported at 35.280 MYR in 2016. This records an increase from the previous number of 31.358 MYR for 2014. Malaysia Exp Per Household: RR: MA: HW: Actual Rental Paid data is updated yearly, averaging 27.059 MYR from May 2005 (Median) to 2016, with 4 observations. The data reached an all-time high of 35.280 MYR in 2016 and a record low of 17.940 MYR in 2005. Malaysia Exp Per Household: RR: MA: HW: Actual Rental Paid data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H038: Household Expenditure Survey.

  10. M

    Malaysia Exp Per Household: RR: MA: HW: Imputed Rent

    • ceicdata.com
    Updated Jun 29, 2018
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    CEICdata.com (2018). Malaysia Exp Per Household: RR: MA: HW: Imputed Rent [Dataset]. https://www.ceicdata.com/en/malaysia/household-expenditure-survey/exp-per-household-rr-ma-hw-imputed-rent
    Explore at:
    Dataset updated
    Jun 29, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2005 - May 1, 2016
    Area covered
    Malaysia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Malaysia Exp Per Household: RR: MA: HW: Imputed Rent data was reported at 354.520 MYR in 2016. This records an increase from the previous number of 301.258 MYR for 2014. Malaysia Exp Per Household: RR: MA: HW: Imputed Rent data is updated yearly, averaging 247.029 MYR from May 2005 (Median) to 2016, with 4 observations. The data reached an all-time high of 354.520 MYR in 2016 and a record low of 151.630 MYR in 2005. Malaysia Exp Per Household: RR: MA: HW: Imputed Rent data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H038: Household Expenditure Survey.

  11. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in Boston-Cambridge-Newton, MA-NH (CBSA) [Dataset]. https://fred.stlouisfed.org/series/CUURA103SEHA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    License

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

    Area covered
    Boston Metropolitan Area, New Hampshire, Massachusetts
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in Boston-Cambridge-Newton, MA-NH (CBSA) (CUURA103SEHA) from Dec 1914 to Jun 2025 about Boston, ME, NH, CT, primary, MA, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Executive Office of Housing and Livable Communities (2025). Emergency Assistance (EA) Family Shelter Resources and Data [Dataset]. https://www.mass.gov/info-details/emergency-assistance-ea-family-shelter-resources-and-data

Emergency Assistance (EA) Family Shelter Resources and Data

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 29, 2017
Dataset authored and provided by
Executive Office of Housing and Livable Communities
Area covered
Massachusetts
Description

There are several forms, regulations and data associated with the Emergency Assistance (EA) Family Shelter Program for our business partners and constituents.

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