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

Financial overview and grant giving statistics of Massachusetts Housing Partnership Fund Board

Petition subject: Racial discrimination Original: http://nrs.harvard.edu/urn-3:FHCL:25455108 Date of creation: (unknown) Petition location: Massachusetts Legislator, committee, or address that the petition was sent to: Katharine D. Kane, Boston; committee on urban affairs Selected signatures:Massachusetts Committee on Discrimination in HousingKatharine D. KaneMartin A. Linsky Actions taken on dates: 1968-01-03,1968-01-04,1968-03-27 Legislative action: Received in the House on January 3, 1968 and referred to the committee on urban affairs and sent for concurrence and received in the Senate on January 4, 1968 and concurred and received in the House on March 27, 1968 and recommitted Total signatures: 7 Legislative action summary: Received, referred, sent, received, concurred, received, recommitted Legal voter signatures (males not identified as non-legal): 1 Female signatures: 1 Unidentified signatures: 5 Female only signatures: No Identifications of signatories: Massachusetts Committee on Discrimination in Housing, Massachusetts Chapter Americans for Democratic Action, Massachusetts Federation for Fair Housing and Equal Rights, American Friends Service Committee, United Church of Christ, [females], ["others"] Prayer format was printed vs. manuscript: Printed Signatory column format: not column separated Additional non-petition or unrelated documents available at archive: additional documents available Additional archivist notes: amendment of the housing authority law, includes addresses, towns next to names including Boston, West Concord, Roxbury, Norfolk county Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1968, c.249, passed May 8, 1968 Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.

NOTE: Not all properties are mapped - several are confidential locations (e.g. group homes for the disabled) and some have poor address information.NOTE: EOHLC's table includes multiple records for a given site ID (one record for each subsidizing agency involved with the site). NMCOG's GIS version of the data as of 4/5/2024 does not have duplicate points (237 records versus 287 records in EOHLC's table).Excel file with all subsidized housing provided by the MA Department of Housing & Community Development (EOHLC) 4/5/2024. Data was formatted for GIS in Excel, subsidizing agency attributes for duplicate records were consolidated into one record (duplicates were removed), and x/y coordinates were added to the file from NMCOG's 2021 GIS data. Attributes added from 2019 inventory: NMCOG_Note, Label, Geo_Status, and AddressGeo11/4/21 Property ID removed (since 2019): 1654, 1656, 339711/4/21 Property ID added since 2019: 10561 and 10570 (2230 Main St Tewksbury), 10595 (Alder Point), and 10386 (Sugar Maple Lane)4/5/24: Property ID added since 2021: 10645 (Roberta McGuire Senior Residences, 2 Balsam Circle)Data provided 4/5/2024 by: MA Department of Housing & Community Development, 100 Cambridge Street, Suite 300, Boston, MA 02114

This feature service from MassGIS displays the year in which cities and towns in Massachusetts were first settled by Europeans. The data were gathered by the Secretary of the Commonwealth of Massachusetts. Sources include: 2010 Census Report; Community Profiles, Department of Housing and Community Development; Historic Atlas of Massachusetts, University of Massachusetts Press 1991.Data source: https://www.sec.state.ma.us/divisions/cis/historical/incorporation-settlement.htmMap service also available.

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

Morocco Number of Housing Units Completed: Urban: Doukala and Abda: El Jadida data was reported at 2,655.000 Unit in 2015. This records a decrease from the previous number of 3,244.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Doukala and Abda: El Jadida data is updated yearly, averaging 2,655.000 Unit from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 5,581.000 Unit in 2012 and a record low of 1,515.000 Unit in 2003. Morocco Number of Housing Units Completed: Urban: Doukala and Abda: El Jadida data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

Morocco Number of Housing Units Completed: Urban: Oriental data was reported at 7,232.000 Unit in 2015. This records a decrease from the previous number of 9,555.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Oriental data is updated yearly, averaging 6,790.000 Unit from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 9,555.000 Unit in 2014 and a record low of 3,573.000 Unit in 2009. Morocco Number of Housing Units Completed: Urban: Oriental data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

In 2018, the Cape Cod Commission received a $100,000 Planning Assistance Grant from the Massachusetts Executive Office of Energy and Environmental Affairs to develop a series of context-appropriate housing development prototypes that could deliver needed housing options at densities somewhere between the typical single-family, detached house and the large format multi-family, corridor building that are the dominant forms of residential development today. This effort, Community Resiliency by Design, carried out by the Cape Cod Commission and Union Studio, included various community engagement opportunities to garner feedback on the desired types of housing and strategies proposed while also helping demystify and alleviate concerns around the notion of increased density in appropriate locations. In many cases the prototypes were based on existing building typologies that could be found on the Cape, albeit in very limited numbers.

Morocco Number of Housing Units Completed: Urban: Souss, Massa and Daraa: Tinghir data was reported at 0.000 Unit in 2015. This stayed constant from the previous number of 0.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Souss, Massa and Daraa: Tinghir data is updated yearly, averaging 108.000 Unit from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 381.000 Unit in 2013 and a record low of 0.000 Unit in 2015. Morocco Number of Housing Units Completed: Urban: Souss, Massa and Daraa: Tinghir data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

Abstract (en): Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people, that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.. All persons in housing units in Massachusetts in 2000. 2013-05-24 Multiple Census data file segments were repackaged for distribution into a single zip archive per dataset. No changes were made to the data or documentation.2006-01-12 All files were removed from dataset 256 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 255 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 254 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 253 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 252 and flagged as study-level files, so that they will accompany all downloads. Because of the number of files per state in Summary File 2, ICPSR has given each state its own ICPSR study number in the range ICPSR 13233-13284. Data for each state are being released as they become available.The data are provided in four segments (files) per iteration. These segments are PCT1-PCT4, PCT5-PCT19, PCT20-PCT36, and HCT1-HCT11. The iterations are Parts 1-250, the Geographic Header file is Part 251. The Geographic Header file is in fixed-format ASCII and the Table files are in comma-delimited ASCII format. The Geographic Header file has 85 variables, Segment 01 has 224 variables, Segment 02 has 240 variables, Segment 03 has 179 variables, and Segment 04 has 141 variables. When all the segments are merged there are 849 variables.

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.

This data set, compiled by the Fraunhofer Center for Sustainable Energy Systems, includes long-term 10-minute temperature and relative humidity data, and HVAC system state data for 79 apartments in a low-income housing complex in Revere, MA. The monitoring period spans two winters and one summer between 2011 and 2013. Data were collected as part of a project sponsored by the U.S. Department of Energy Building America program to evaluate the impact of programmable thermostat usability on occupant behavior. This project was done in conjunction with NREL as part of the US Department of Energy's Building America program.

Morocco Number of Housing Units Completed: Urban: Doukala and Abda data was reported at 5,214.000 Unit in 2015. This records a decrease from the previous number of 6,381.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Doukala and Abda data is updated yearly, averaging 5,165.000 Unit from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 8,482.000 Unit in 2012 and a record low of 2,891.000 Unit in 2002. Morocco Number of Housing Units Completed: Urban: Doukala and Abda data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

These data were gathered to test a model of the socioeconomic and demographic determinants of the crime of arson. Datasets for this analysis were developed by the principal investigator from records of the Massachusetts Fire Incident Reporting System and from population and housing data from the 1980 Census of Massachusetts. The three identically-structured data files include variables such as population size, fire incident reports, employment, income, family structure, housing type, housing quality, housing occupancy, housing availability, race, and age.

These reports, plans, and drawings review the achievements of Home Energy Efficiency Team (HEET) and its partners to plan and design a network of interconnected ground-source heat pump systems, or geothermal network, in an area encompassing multiple environmental justice (EJ) neighborhoods in the City of Framingham, MA. The materials provided in this dataset include, a) stakeholder and design best practices, b) study on optimal method to interconnect geothermal loops, c) guidelines for monitoring and metering, d) operations and maintenance plans, e) permitting guidelines and f) 10-day driller tutorial curriculum. These materials can guide the efficient and ethical design of future geothermal networks nationwide. The capacity of the system is estimated at 217 tons and is designed to provide 100% of heating and cooling needs for the buildings connected to the loop. In this project, 80 boreholes are used as the main thermal resources, the distribution system (or loop) consists of 0.61 miles of an 8-inch single-pipe at ambient temperature, with the capacity to connect 44 buildings, including 13 apartment buildings from the Framingham Housing Authority, one transitional home, one school building and 29 single family homes. While Framingham already has a geothermal network loop that is currently in the commissioning stage, our proposed project is unique because it is the first utility-led expansion loop (2nd loop) project that will connect to an adjacent existing geothermal loop (1st loop) in a pre-existing neighborhood. Both the 1st and 2nd loops are being installed, owned and operated by Eversource Energy, the utility Deployment Partner.

Violations on Boston buildings or properties issued by inspectors from the Building and Structures Division of the Inspectional Services Department.

Note: property_id is equivalent to sam_id.

Looking for Public Works violations? Check out this dataset: https://data.boston.gov/dataset/public-works-violations

Morocco Number of Housing Units Completed: Urban: Chaouia and Ouardigha data was reported at 9,074.000 Unit in 2015. This records an increase from the previous number of 7,370.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Chaouia and Ouardigha data is updated yearly, averaging 7,508.000 Unit from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 10,365.000 Unit in 2008 and a record low of 4,774.000 Unit in 2000. Morocco Number of Housing Units Completed: Urban: Chaouia and Ouardigha data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

Morocco Number of Housing Units Completed: Urban: Rabat, Sale, Zemmour and Zaer: Skhirate and Temara data was reported at 2,863.000 Unit in 2015. This records an increase from the previous number of 2,160.000 Unit for 2014. Morocco Number of Housing Units Completed: Urban: Rabat, Sale, Zemmour and Zaer: Skhirate and Temara data is updated yearly, averaging 3,462.000 Unit from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 6,048.000 Unit in 2005 and a record low of 1,784.000 Unit in 2012. Morocco Number of Housing Units Completed: Urban: Rabat, Sale, Zemmour and Zaer: Skhirate and Temara data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.EA006: Number of Housing Units Completed: Annual .

Certified by the Executive Office of Aging & Independence, Assisted Living Residences (ALRs) are private residences that offer, for a monthly fee, housing, meals, and personal care services to aging adults who live independently.