29 datasets found
  1. A

    Income-Restricted Housing Inventory

    • data.boston.gov
    csv, pdf
    Updated Jul 6, 2023
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    Mayor's Office of Housing (2023). Income-Restricted Housing Inventory [Dataset]. https://data.boston.gov/dataset/income-restricted-housing
    Explore at:
    csv(118206), csv(102677), pdf(63838), pdf(104953), pdf(63774), csv(113262), csv(113058), pdf(415408)Available download formats
    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    Mayor's Office of Housing
    License

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

    Description

    This data, maintained by the Mayor’s Office of Housing (MOH), is an inventory of all income-restricted units in the city. This data includes public housing owned by the Boston Housing Authority (BHA), privately- owned housing built with funding from DND and/or on land that was formerly City-owned, and privately-owned housing built without any City subsidy, e.g., created using Low-Income Housing Tax Credits (LIHTC) or as part of the Inclusionary Development Policy (IDP). Information is gathered from a variety of sources, including the City's IDP list, permitting and completion data from the Inspectional Services Department (ISD), newspaper advertisements for affordable units, Community Economic Development Assistance Corporation’s (CEDAC) Expiring Use list, and project lists from the BHA, the Massachusetts Department of Housing and Community Development (DHCD), MassHousing, and the U.S. Department of Housing and Urban Development (HUD), among others. The data is meant to be as exhaustive and up-to-date as possible, but since many units are not required to report data to the City of Boston, MOH is constantly working to verify and update it. See the data dictionary for more information on the structure of the data and important notes. The database only includes units that have a deed-restriction. It does not include tenant-based (also known as mobile) vouchers, which subsidize rent, but move with the tenant and are not attached to a particular unit. There are over 22,000 tenant-based vouchers in the city of Boston which provide additional affordability to low- and moderate-income households not accounted for here. The Income-Restricted Housing report can be directly accessed here:
    https://www.boston.gov/sites/default/files/file/2023/04/Income%20Restricted%20Housing%202022_0.pdf

    Learn more about income-restricted housing (as well as other types of affordable housing) here: https://www.boston.gov/affordable-housing-boston#income-restricted

  2. m

    Zoning & Affordable Housing

    • gis.data.mass.gov
    Updated Dec 12, 2012
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    Town of Brookline, Massachusetts (2012). Zoning & Affordable Housing [Dataset]. https://gis.data.mass.gov/maps/76ea1102b54544a28ff4b58c2838cc1d
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    Dataset updated
    Dec 12, 2012
    Dataset authored and provided by
    Town of Brookline, Massachusetts
    Area covered
    Description

    Download PDF maps here.Zoning Map - 11X17in color mapZoning Map - 30X16in black & white mapZoning Map - 34X46in color mapZoning Map - 8X11in black and white mapZip Code Map - 11X17in color mapZip Code Map - 34X46in color mapExisting Affordable Housing 2008 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 34X148 color mapCDBG Map Based upon 2000 Census Tract - 11X177 color mapNeighborhood Associations MapWireless Telecommunication Anetenna Location Map - 34X46 color map

  3. p

    Low Income Housing Programs in Massachusetts, United States - 69 Verified...

    • poidata.io
    csv, excel, json
    Updated Jul 14, 2025
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    Poidata.io (2025). Low Income Housing Programs in Massachusetts, United States - 69 Verified Listings Database [Dataset]. https://www.poidata.io/report/low-income-housing-program/united-states/massachusetts
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    json, csv, excelAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Massachusetts, United States
    Description

    Comprehensive dataset of 69 Low income housing programs in Massachusetts, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  4. d

    Replication Data for: How Affordable Housing Can Exclude: The Political...

    • search.dataone.org
    Updated Sep 24, 2024
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    Palmer, Maxwell; Einstein, Katherine Levine (2024). Replication Data for: How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing [Dataset]. http://doi.org/10.7910/DVN/I0U76E
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Palmer, Maxwell; Einstein, Katherine Levine
    Description

    Data and code to replicate the results "How Affordable Housing Can Exclude: The Political Economy of Subsidized Housing." All data on subsidized housing units provided by Housing Navigator Massachusetts (https://housingnavigatorma.org/). All demographic data retrieved from the 2018-2022 American Community Survey 5-year averages.

  5. i

    Grant Giving Statistics for Southeastern Massachusetts Affordable Housing...

    • instrumentl.com
    Updated Oct 31, 2021
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    (2021). Grant Giving Statistics for Southeastern Massachusetts Affordable Housing Corporation [Dataset]. https://www.instrumentl.com/990-report/southeastern-massachusetts-affordable-housing-corporation
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    Dataset updated
    Oct 31, 2021
    Area covered
    Southeastern Massachusetts, Massachusetts
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Southeastern Massachusetts Affordable Housing Corporation

  6. m

    Coastal Risk Screening Tool: Affordable Housing

    • gis.data.mass.gov
    Updated Mar 21, 2024
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    MassGIS - Bureau of Geographic Information (2024). Coastal Risk Screening Tool: Affordable Housing [Dataset]. https://gis.data.mass.gov/datasets/coastal-risk-screening-tool-affordable-housing
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    Dataset updated
    Mar 21, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Description

    Coastal Risk Screening Tool: Affordable HousingThe affordable housing map allows users to explore what affordable housing in the U.S. could be threatened by sea level rise and coastal flooding in the coming decades, under multiple pollution scenarios. The map allows users to examine affordable housing at risk by state, city, county, congressional district, state legislative district, or zip code.

  7. Affordable Housing Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Affordable Housing Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/affordable-housing-market-global-industry-analysis
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Affordable Housing Market Outlook



    According to our latest research, the affordable housing market size reached USD 69.2 billion globally in 2024, driven by rapid urbanization, supportive government policies, and rising demand for cost-effective housing solutions. The market is projected to expand at a robust CAGR of 6.1% from 2025 to 2033, reaching an estimated USD 117.4 billion by the end of the forecast period. The growth is primarily attributed to increasing urban migration, widening income disparities, and a surge in public and private investments aimed at addressing the global housing deficit. As per our latest research, the affordable housing sector is undergoing significant transformation as stakeholders focus on innovative construction methods, sustainable materials, and digital technologies to streamline project delivery and reduce costs.




    One of the primary growth drivers for the affordable housing market is the escalating rate of urbanization, particularly in emerging economies. Urban populations are swelling at an unprecedented pace, with millions migrating to cities in search of better employment opportunities and improved living standards. This mass migration has led to a surge in demand for affordable, quality housing, placing immense pressure on urban infrastructure and local governments. Consequently, both public and private sector players are ramping up investments in affordable housing projects, leveraging innovative financing models and partnerships to bridge the housing gap. Furthermore, the emergence of smart city initiatives and sustainable urban planning is fostering the development of integrated, affordable housing solutions that cater to the diverse needs of low- and middle-income populations.




    Another significant factor propelling the affordable housing market is the increasing involvement of governments and international organizations in addressing the global housing crisis. Numerous policy interventions, such as subsidies, tax incentives, and relaxed regulatory frameworks, are being introduced to stimulate the supply of affordable homes. Governments are also collaborating with private developers through public-private partnerships (PPPs) to expedite project execution and ensure long-term sustainability. Additionally, multilateral agencies and non-governmental organizations are providing technical and financial assistance to support large-scale affordable housing initiatives, particularly in regions with acute housing shortages. These concerted efforts are not only enhancing access to affordable housing but also fostering socio-economic development and reducing urban poverty.




    Technological advancements in construction methods and materials are further accelerating the growth of the affordable housing market. The adoption of modular and prefabricated construction techniques is enabling developers to deliver high-quality housing units at lower costs and within shorter timeframes. These innovative approaches are also contributing to improved energy efficiency, reduced environmental impact, and enhanced structural durability. Moreover, the integration of digital technologies, such as Building Information Modeling (BIM) and project management software, is streamlining the design, planning, and execution of affordable housing projects. As a result, stakeholders are increasingly embracing technology-driven solutions to optimize resource utilization, minimize risks, and ensure compliance with stringent regulatory standards.




    From a regional perspective, Asia Pacific continues to dominate the affordable housing market, accounting for the largest share in 2024, followed by North America and Europe. The region's rapid urbanization, burgeoning population, and proactive government policies are driving significant investments in affordable housing infrastructure. Countries such as China, India, and Indonesia are at the forefront, implementing ambitious housing schemes and leveraging innovative construction technologies to address the growing demand. Meanwhile, developed regions like North America and Europe are witnessing renewed interest in affordable housing, fueled by rising property prices, income inequality, and shifting demographic trends. Latin America and the Middle East & Africa are also emerging as promising markets, supported by favorable regulatory environments and increased foreign direct investments.



  8. i

    Grant Giving Statistics for Boston Affordable Housing Coalition Inc.

    • instrumentl.com
    • academia.instrumentl.com
    Updated Mar 27, 2021
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    (2021). Grant Giving Statistics for Boston Affordable Housing Coalition Inc. [Dataset]. https://www.instrumentl.com/990-report/boston-affordable-housing-coalition-inc
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    Dataset updated
    Mar 27, 2021
    Area covered
    Boston
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Boston Affordable Housing Coalition Inc.

  9. m

    City of Boston Community Preservation Projects

    • gis.data.mass.gov
    Updated Mar 19, 2024
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    City of Boston Community Preservation Projects [Dataset]. https://gis.data.mass.gov/datasets/city-of-boston-community-preservation-projects
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    Dataset updated
    Mar 19, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Boston
    Description

    City of Boston Community Preservation ProjectsWith the adopted Community Preservation Act, the City created a special Community Preservation Fund. Financed by a 1-percent property tax surcharge and a state match, the City raises over $20 million annually to fund: affordable housinghistoric preservationopen space and recreationMany cities and towns adopted the Community Preservation Act soon after the law was passed in 2000. They've received millions for affordable housing, historic preservation, open space and recreation projects. Boston is now among the other cities and towns that have adopted the act. We implemented our first round of funding in 2018.

  10. A

    Short-Term Rental Eligibility

    • data.boston.gov
    csv
    Updated Jul 13, 2025
    + more versions
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    Department of Innovation and Technology (2025). Short-Term Rental Eligibility [Dataset]. https://data.boston.gov/dataset/short-term-rental-eligibility
    Explore at:
    csv(28781506)Available download formats
    Dataset updated
    Jul 13, 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

  11. U

    HUNGARIAN EXPERIENCE ON LOW-COST (MASS) HOUSING, ASSEMBLY OPERATIONS AND...

    • unido.org
    Updated Jul 4, 2025
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    UNIDO (2025). HUNGARIAN EXPERIENCE ON LOW-COST (MASS) HOUSING, ASSEMBLY OPERATIONS AND EXAMINATION ON THE SITE FOR PREFABRICATED HOUSES (06622.en) [Dataset]. https://www.unido.org/publications/ot/9638782
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    UNIDO
    License

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

    Time period covered
    1975
    Area covered
    Central Asia, Hungary
    Description

    UNIDO PUB ON CONSTRUCTION INDUSTRY, WITH SPECIAL REFERENCE TO PREFABRICATED BUILDING EXPERIENCE IN HUNGARY - COVERS (1) PRINCIPLES IN DEVELOPING BUILDING STRUCTURAL SYSTEMS FOR MASS HOUSING (2) SELECTION OF BUILDING METHODS AND CHOICE OF TECHNOLOGY (3) TECHNICAL AND ECONOMIC ASPECTS OF MASS HOUSING METHODS, CONSIDERING (A) BLOCK BUILDING (B) LARGE PANEL BUILDING AND (C) THE CAST 'IN SITU'-MONOLITHIC BUILDING METHOD (4) IMPLICATIONS FOR DEVELOPING COUNTRIES. BIBLIOGRAPHY, STATISTICS.

  12. d

    Number of People Experiencing Homelessness

    • data.ore.dc.gov
    Updated Aug 20, 2024
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    City of Washington, DC (2024). Number of People Experiencing Homelessness [Dataset]. https://data.ore.dc.gov/datasets/number-of-people-experiencing-homelessness
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The most recent rate of homelessness is calculated using ACS population estimates from the previous year, unless otherwise noted.

    Data Source: HUD's Annual Homeless Assessment Report (AHAR) Point-in-Time (PIT) Estimates by State and American Community Survey (ACS) 1-Year Estimates

    Why this MattersSafe, adequate, and stable housing is a human right and essential for the health and well-being of individuals, families, and communities.People who experience homelessness also struggle to maintain access to healthcare, employment, education, healthy relationships, and other basic necessities in life, according to the DC Interagency Council on Homelessness Strategic Plan.BIPOC populations are disproportionately affected by homelessness due to housing discrimination, mass incarceration, and other policies that have limited socioeconomic opportunities for Black, Latino, and other people of color.

    The District's Response Strategic investments in proven strategies for driving down homelessness, including the Career Mobility Action Plan (Career MAP) program, operation of non-congregate housing, and expansion of the District’s shelter capacity.Homelessness prevention programs for at-risk individuals and families, such as emergency rental assistance, targeted affordable housing, and permanent supporting housing.Programs and services to enhance resident’s economic and employment security and ensure access to affordable housing.

  13. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  14. v

    Saudi Arabia Manufactured Homes Market By Product Type (Modular Homes,...

    • verifiedmarketresearch.com
    Updated May 5, 2025
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    VERIFIED MARKET RESEARCH (2025). Saudi Arabia Manufactured Homes Market By Product Type (Modular Homes, Panelized Homes, Pre-Cut Homes), Material Type (Steel, Wood, Concrete), Application (Residential, Commercial, Government), & Region for 2026-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/saudi-arabia-manufactured-homes-market/
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

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

    Area covered
    Saudi Arabia
    Description

    Saudi Arabia Manufactured Homes Market size was valued at USD 260 Million in 2024 and is projected to reach USD 355.83 Million by 2032, growing at a CAGR of 4% from 2026 to 2032.

    Saudi Arabia Manufactured Homes Market Drivers

    Government Initiatives for Affordable Housing: The Saudi Arabian government, under its Vision 2030 plan, has a strong focus on increasing homeownership among its citizens through various affordable housing programs and initiatives. Manufactured homes offer a potentially cost-effective solution to meet this demand. Rapid Urbanization and Population Growth: Saudi Arabia continues to experience rapid urbanization and a growing population, leading to increased demand for housing units, particularly in urban centers. Manufactured homes can be deployed relatively quickly to address housing shortages. Faster Construction and Deployment: The off-site construction of manufactured homes allows for quicker assembly and deployment on the final site, significantly reducing construction timelines compared to conventional methods. This is particularly advantageous for large-scale housing projects. Focus on Industrialized Building and Prefabrication: The Saudi government is promoting industrialized building and prefabrication technologies to improve efficiency, quality, and speed in the construction sector. Manufactured homes align well with this strategic direction. Potential for Mass Housing Projects: Manufactured homes are well-suited for large-scale housing developments and government-led affordable housing projects due to their standardized design and efficient production processes.

  15. Turkey Prefabricated Buildings Market Size By Material Type (Concrete,...

    • verifiedmarketresearch.com
    Updated Feb 13, 2025
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    Turkey Prefabricated Buildings Market Size By Material Type (Concrete, Glass, Metal, Timber), By Application (Residential, Commercial And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/turkey-prefabricated-buildings-market/
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    Dataset updated
    Feb 13, 2025
    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
    2025 - 2032
    Area covered
    Turkey
    Description

    Turkey Prefabricated Buildings Market size was valued at USD 3.8 Billion in 2024 and is projected to reach USD 6.9 Billion by 2032, growing at a CAGR of 7.8% from 2025 to 2032.

    Key Market Drivers:Affordable Housing Initiatives: Turkey affordable housing initiatives are propelling the prefabricated building sector, with the Turkish Mass Housing Administration (TOKI) leading the way. TOKI wants to complete 500,000 social housing units by 2028, with 30% of them prefabricated, which will cut construction time by 40% compared to traditional methods. This change to prefabricated construction not only speeds up housing deliveries but also helps satisfy the growing demand for cheap housing, making prefabricated buildings an important option in Turkey's urbanization and housing efforts.

    Infrastructure Development Projects: Turkey's infrastructure development projects are propelling the prefabricated structures market due to its efficiency and rapidity.

  16. Hourly wages needed to afford a two-bedroom apartment in the U.S. 2024, by...

    • statista.com
    • ai-chatbox.pro
    Updated Aug 23, 2024
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    Statista (2024). Hourly wages needed to afford a two-bedroom apartment in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/203384/us-two-bedroom-housing-wage-by-state/
    Explore at:
    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, households in California needed an hourly wage of over 47 U.S. dollars to afford the rent of a two-bedroom apartment. Massachusetts had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 45 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wage worker could afford rent for the average two-bedroom apartment, if they only worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2024. District of Columbia has one of the highest minimum wages in the country, which stood at 17 U.S. dollars per hour as of January 2024. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.

  17. Container House Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Container House Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/container-house-industry
    Explore at:
    csv, pptx, pdfAvailable 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

    Container House Market Outlook



    The global container house market size was valued at approximately USD 62.93 billion in 2023, and it is expected to reach USD 119.69 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. The remarkable growth of the container house market can be attributed to several factors including the increasing demand for sustainable and affordable housing solutions worldwide. The innovative use of shipping containers to construct residential and commercial spaces is gaining traction due to its cost-effectiveness, reduced construction time, and environmental benefits, which are key driving factors for this market. Additionally, the rising popularity of modular construction methods, combined with governmental incentives to promote green building practices, further propels the market's expansion.



    One of the significant growth factors in the container house market is the increasing awareness and demand for sustainable construction practices. As environmental concerns grow globally, there is a significant push towards reducing carbon footprints through eco-friendly building materials and methods. Container houses, being a form of modular and recyclable construction, provide an excellent solution to this challenge. Moreover, the reduced construction time associated with container houses compared to traditional building methods plays a crucial role in their adoption. The prefabricated nature of containers allows for quick assembly, which is particularly beneficial in regions facing urgent housing shortages or those affected by natural disasters where rapid re-housing is necessary.



    Another influential growth factor is the financial benefits associated with container house construction. As traditional housing prices soar, especially in urban areas, container homes offer a more affordable alternative. This affordability is not only appealing to individual homeowners but also to commercial developers and organizations looking to minimize costs while maximizing space utilization. Furthermore, the versatility of container houses, which can be customized to meet specific needs and aesthetic preferences, adds to their attractiveness. This customization can range from simple, minimalistic designs to complex multi-story structures, catering to a wide range of consumer preferences and needs.



    The container house market is also benefiting from the advancements in construction technology and design innovations. Modern engineering techniques have significantly enhanced the structural integrity and insulation properties of container houses, making them suitable for diverse climatic conditions. These improvements address previous concerns about temperature regulation and durability, opening up new geographic markets and applications for container houses. Additionally, the growing trend of urbanization and the need for efficient space utilization in densely populated cities have led to innovative applications of container houses, including their use as pop-up shops, temporary offices, and even hospitality establishments like hostels and hotels.



    In recent years, the concept of Mobile Tiny House has emerged as a fascinating subset of the broader container house market. These compact, mobile living spaces offer the ultimate in flexibility and adaptability, appealing to a growing demographic interested in minimalist and sustainable living. Unlike traditional container homes, Mobile Tiny Houses are designed to be easily transported, allowing homeowners to relocate as needed without the constraints of a fixed foundation. This mobility is particularly attractive to individuals seeking a nomadic lifestyle, enabling them to explore new environments while maintaining the comforts of home. The rise of Mobile Tiny Houses also reflects a broader cultural shift towards valuing experiences over possessions, as more people prioritize freedom and flexibility in their living arrangements.



    Regionally, Asia Pacific is expected to witness significant growth in the container house market due to rapid urbanization and industrialization. Countries like China, India, and Japan are seeing an increasing adoption of container houses due to their economic benefits and suitability for mass housing projects. In North America, the United States and Canada are leading the way in the adoption of container homes for both residential and commercial purposes, driven by a strong preference for sustainable living and innovative architecture. Europe also exhibits strong potential, with countries such as Germany, the UK, and th

  18. f

    Data from: Design guidelines for reducing waste in the production of...

    • scielo.figshare.com
    jpeg
    Updated Jun 3, 2023
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    Carina Ferreira Barros Nogueira; Fernanda Aranha Saffaro; Sidnei Junior Guadanhim (2023). Design guidelines for reducing waste in the production of low-income housing with prefabricated wall panels in dry building systems [Dataset]. http://doi.org/10.6084/m9.figshare.5719114.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELO journals
    Authors
    Carina Ferreira Barros Nogueira; Fernanda Aranha Saffaro; Sidnei Junior Guadanhim
    License

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

    Description

    Abstract Managers in the construction sector are being urged to reduce the housing deficit in the low-income segment. The use of industrialised building systems is an alternative for achieving this aim and for the implementation of mass customization. However, the possibility of conferring some degree of customisation in housing may have negative impacts on production. Product modularity is a mass customisation approach, by designing modules that can be combined to provide product variety. The aim of this paper is to propose design guidelines to reduce waste in the production of prefabricated wall panels in dry construction systems, focusing on simplifying the production of customised social housing. The methodological approach adopted was design science research. The research started with a literature review to understand the concepts of Product Architecture and Modularity. Based on the results, we proposed design guidelines applying the principles of product modularity. The effect of the guidelines on the production process of the panels was evaluated through data collection at the factory. The adoption of product modularity in house-building design proved to be an efficient approach for the standardisation of components and for simplifying the mass production process of the wall panels.

  19. f

    Development and Cost Analysis of Eco-Friendly Prefabricated Housing for...

    • figshare.com
    docx
    Updated Jul 5, 2025
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    Adithya Kamath P; Mohit Bhayani; B.R.K. Holla; Lekhan B Jathan; Aniket Bansal (2025). Development and Cost Analysis of Eco-Friendly Prefabricated Housing for Indian Climates Using Energy-Efficient Materials [Dataset]. http://doi.org/10.6084/m9.figshare.29324207.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset provided by
    figshare
    Authors
    Adithya Kamath P; Mohit Bhayani; B.R.K. Holla; Lekhan B Jathan; Aniket Bansal
    License

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

    Description

    Prefabricated housing has been in existence for over a century, but their recent rise in popularity can be attributed to advancements in technology and sustainable practices. The main aim of this study is to develop a model that can satisfy Economically weaker section (EWS) and can be used for government program such as Pradhan Mantri Awas Yojana using eco-friendly and prefabricated materials which are suitable for Indian climate. Space optimization techniques, modular furniture’s and minimum functional space design concepts were used to design the housing unit and achieved compact carpet area compared to average space of these houses. Cost-effective materials such as Aerocon wall panels and Calcium Silicate wall panels, and Eco-friendly materials such as Expanded Polystyrene (EPS) panels were selected. By incorporating these materials, the cost analysis was carried out by collecting rates from suppliers and contractors. The comparison of the cost shows even through initial investment is more for the energy efficient material, it proves cheaper to lifecycle cost. By using the proposed design, it has been observed that using these materials can reduce construction cost, reduce energy consumption. This provides opportunities for the government to provide mass housing schemes and efficient houses, but it contains certain disadvantages such as high initial cost and thermal bridging or cracking of sandwich panels. Finally, as per the study it encourages further research focused on Implementation of Energy-Efficient systems and advancements in sustainable materials to further enhance the environmental performance and sustainability of Prefabricated houses.

  20. Low-Income Energy Affordability Data - LEAD Tool - 2022 Update

    • data.openei.org
    • catalog.data.gov
    archive +2
    Updated Aug 1, 2024
    + more versions
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    Ookie Ma; Aaron Vimont; Ookie Ma; Aaron Vimont (2024). Low-Income Energy Affordability Data - LEAD Tool - 2022 Update [Dataset]. http://doi.org/10.25984/2504170
    Explore at:
    archive, image_document, websiteAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Open Energy Data Initiative (OEDI)
    Authors
    Ookie Ma; Aaron Vimont; Ookie Ma; Aaron Vimont
    License

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

    Description

    The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, energy characteristics, and population demographics and educational attainment.

    Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts, as well as tribal areas. The file below, "01. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "02. Data Dictionary 2022". A list of geographic regions used in the LEAD Tool can be found in files 04-11.

    The Low-Income Energy Affordability Data comes primarily from the 2022 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2022 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document).

    For more information, and to access the interactive LEAD Tool platform, please visit the "10. LEAD Tool Platform" resource link below.

    For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "11. CELICA Website" resource below.

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Mayor's Office of Housing (2023). Income-Restricted Housing Inventory [Dataset]. https://data.boston.gov/dataset/income-restricted-housing

Income-Restricted Housing Inventory

Explore at:
csv(118206), csv(102677), pdf(63838), pdf(104953), pdf(63774), csv(113262), csv(113058), pdf(415408)Available download formats
Dataset updated
Jul 6, 2023
Dataset authored and provided by
Mayor's Office of Housing
License

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

Description

This data, maintained by the Mayor’s Office of Housing (MOH), is an inventory of all income-restricted units in the city. This data includes public housing owned by the Boston Housing Authority (BHA), privately- owned housing built with funding from DND and/or on land that was formerly City-owned, and privately-owned housing built without any City subsidy, e.g., created using Low-Income Housing Tax Credits (LIHTC) or as part of the Inclusionary Development Policy (IDP). Information is gathered from a variety of sources, including the City's IDP list, permitting and completion data from the Inspectional Services Department (ISD), newspaper advertisements for affordable units, Community Economic Development Assistance Corporation’s (CEDAC) Expiring Use list, and project lists from the BHA, the Massachusetts Department of Housing and Community Development (DHCD), MassHousing, and the U.S. Department of Housing and Urban Development (HUD), among others. The data is meant to be as exhaustive and up-to-date as possible, but since many units are not required to report data to the City of Boston, MOH is constantly working to verify and update it. See the data dictionary for more information on the structure of the data and important notes. The database only includes units that have a deed-restriction. It does not include tenant-based (also known as mobile) vouchers, which subsidize rent, but move with the tenant and are not attached to a particular unit. There are over 22,000 tenant-based vouchers in the city of Boston which provide additional affordability to low- and moderate-income households not accounted for here. The Income-Restricted Housing report can be directly accessed here:
https://www.boston.gov/sites/default/files/file/2023/04/Income%20Restricted%20Housing%202022_0.pdf

Learn more about income-restricted housing (as well as other types of affordable housing) here: https://www.boston.gov/affordable-housing-boston#income-restricted

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