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

Morocco MA: Coverage: Social Safety Net Programs: Poorest Quintile: % of Population data was reported at 50.107 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: Poorest Quintile: % of Population data is updated yearly, averaging 50.107 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: Poorest Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

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.

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.

This dataset is OBSOLETE as of 12/3/2024 and will be removed from ArcGIS Online on 12/3/2025.An updated version of this dataset is available at Land Use FY2024.This data set derives from several sources, and is updated annually with data current through July 1 of the reported year. The primary source is a data dump from the VISION assessing data system, which provided data up to date as of January 1, 2012, and is supplemented by information from subsequent building permits and Development Logs. (Use codes provided by this system combine aspects of land use, tax status, and condominium status. In an effort to clarify land use type the data has been cleaned and subdivided to break the original use code into several different fields.) The data set has further been supplemented and updated with development information provided by building permits issued by the Inspectional Services Department and from data found in the Development Log publication. Information from these sources is added to the data set periodically. Land use status is up to date as of the Last Modified date.Differences From “Official” Parcel LayerThe Cambridge GIS system maintains a separate layer of land parcels reflecting up to date subdivision and ownership. The parcel data associated with the Land Use Data set differs from the “official” parcel layer in a number of cases. For that reason this separate parcel layer is provided to work with land use data in a GIS environment. See the Assessing Department’s Parcel layer for the most up-to-date land parcel boundaries.Table of Land Use CodesThe following table lists all land use code found in the data layer:Land Use CodeLand Use DescriptionCategory0101MXD SNGL-FAM-REMixed Use Residential0104MXD TWO-FAM-RESMixed Use Residential0105MXD THREE-FM-REMixed Use Residential0111MXD 4-8-UNIT-APMixed Use Residential0112MXD >8-UNIT-APTMixed Use Residential0121MXD BOARDING-HSMixed Use Residential013MULTIUSE-RESMixed Use Residential031MULTIUSE-COMMixed Use Commercial0340MXD GEN-OFFICEMixed Use Commercial041MULTIUSE-INDMixed Use Industrial0942Higher Ed and Comm MixedMixed Use Education101SNGL-FAM-RESResidential1014SINGLE FAM W/AUResidential104TWO-FAM-RESResidential105THREE-FM-RESResidential106RES-LAND-IMPTransportation1067RES-COV-PKGTransportation1114-8-UNIT-APTResidential112>8-UNIT-APTResidential113ASSISTED-LIVAssisted Living/Boarding House121BOARDING-HSEAssisted Living/Boarding House130RES-DEV-LANDVacant Residential131RES-PDV-LANDVacant Residential132RES-UDV-LANDVacant Residential1322RES-UDV-PARK (OS) LNVacant Residential140CHILD-CARECommercial300HOTELCommercial302INN-RESORTCommercial304NURSING-HOMEHealth316WAREHOUSECommercial323SH-CNTR/MALLCommercial324SUPERMARKETCommercial325RETAIL-STORECommercial326EATING-ESTBLCommercial327RETAIL-CONDOCommercial330AUTO-SALESCommercial331AUTO-SUPPLYCommercial332AUTO-REPAIRCommercial334GAS-STATIONCommercialLand Use CodeLand Use DescriptionCategory335CAR-WASHCommercial336PARKING-GARTransportation337PARKING-LOTTransportation340GEN-OFFICEOffice341BANKCommercial342MEDICAL-OFFCHealth343OFFICE-CONDOOffice345RETAIL-OFFICOffice346INV-OFFICEOffice353FRAT-ORGANIZCommercial362THEATRECommercial370BOWLING-ALLYCommercial375TENNIS-CLUBCommercial390COM-DEV-LANDVacant Commercial391COM-PDV-LANDVacant Commercial392COM-UDV-LANDVacant Commercial3922CRMCL REC LNDVacant Commercial400MANUFACTURNGIndustrial401WAREHOUSEIndustrial404RES-&-DEV-FCOffice/R&D406HIGH-TECHOffice/R&D407CLEAN-MANUFIndustrial409INDUST-CONDOIndustrial413RESRCH IND CNDIndustrial422ELEC GEN PLANTUtility424PUB UTIL REGUtility428GAS-CONTROLUtility430TELE-EXCH-STAUtility440IND-DEV-LANDVacant Industrial442IND-UDV-LANDVacant Industrial920ParklandsPublic Open Space930Government OperationsGovernment Operations934Public SchoolsEducation940Private Pre & Elem SchoolEducation941Private Secondary SchoolEducation942Private CollegeHigher Education9421Private College Res UnitsEducation Residential943Other Educ & Research OrgHigher EducationLand Use CodeLand Use DescriptionCategory953CemeteriesCemetery955Hospitals & Medical OfficHealth956MuseumsHigher Education957Charitable ServicesCharitable/Religious960ReligiousCharitable/Religious971Water UtilityUtility972Road Right of WayTransportation975MBTA/RailroadTransportation9751MBTA/RailroadTransportation995Private Open SpacePrivately-Owned Open SpaceExplore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription ML type: Stringwidth: 16precision: 0 Map-Lot: This a unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

MAP type: Stringwidth: 5precision: 0 This Map portion of the unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

LOT type: Stringwidth: 5precision: 0 This is the Lot portion of the unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

Location type: Stringwidth: 254precision: 0 In the great majority of cases this is the street address of the parcel as it is recorded in the Registry of Deed record. In instances where edits were made to the base parcel layer the best address available at the time is employed.

LandArea type: Doublewidth: 8precision: 15

LUCode type: Stringwidth: 254precision: 0 The four digit text string in this field indicates the primary usage of a parcel. While the codes are based on the standard Massachusetts assessing land use classification system, they differ in a number of cases; the coding system used here is unique to this data set. Note that other minor uses may occur on a property and, in some cases, tenants may introduce additional uses not reflected here (eg, office space used as a medical office, home based businesses).

LUDesc type: Stringwidth: 254precision: 0 The short description gives more detail about the specific use indicated by the Land Use Code. Most descriptions are taken from the standard Massachusetts assessing land use classification system.

Category type: Stringwidth: 254precision: 0 This broader grouping of land uses can be used to map land use data. You can find the land use data mapped at: https://www.cambridgema.gov/CDD/factsandmaps/mapgalleries/othermaps

ExistUnits type: Doublewidth: 8precision: 15 This value indicates the number of existing residential units as of July 1 of the reported year. A residential unit may be a house, an apartment, a mobile home, a group of rooms or a single room that is occupied (or, if vacant, intended for occupancy) as separate living quarters. This includes units found in apartment style graduate student housing residences and rooms in assisted living facilities and boarding houses are treated as also housing units. The unit count does not include college or graduate student dormitories, nursing home rooms, group homes, or other group quarters living arrangements.

MixedUseTy type: Stringwidth: 254precision: 0 Two flags are used for this field. “Groundfloor” indicates that a commercial use is found on the ground floor of the primary building, and upper floors are used for residential purposes. “Mixed” indicates that two or more uses are found throughout the structure or multiple structures on the parcel, one of which is residential.

GQLodgingH type: Stringwidth: 254precision: 0 A value of “Yes” indicates that the primary use of the property is as a group quarters living arrangement. Group quarters are a place where people live or stay, in a group living arrangement, that is owned or managed by an entity or organization providing housing and/or services for the residents. Group quarters include such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers’ dormitories.

Most university dormitories are included under the broader higher education land use code, as most dormitories are included in the larger parcels comprising the bulk of higher education campuses.

GradStuden type: Stringwidth: 254precision: 0 A value of “Yes” indicates the parcel is used to house graduate students in apartment style units. Graduate student dormitories are treated as a higher education land use.

CondoFlag type: Stringwidth: 254precision: 0 “Yes” indicates that the parcel is owned as a condominium. Condo properties can include one or more uses, including residential, commercial, and parking. The great majority of such properties in Cambridge are residential only.

TaxStatus type: Stringwidth: 254precision: 0 A value indicates that the parcel is not subject to local property taxes. The following general rules are employed to assign properties to subcategories, though special situations exist in a number of cases.

o Authority: Properties owned the Cambridge Redevelopment Authority and Cambridge Housing Authority. o City: Properties owned by the City of Cambridge or cemetery land owned by the Town of Belmont. o Educ: Includes properties used for education purposes, ranging from pre-schools to university research facilities. (More detail about the level of education can be found using the Land Use Code.) o Federal: Properties owned by the federal government, including the Post Office. Certain properties with assessing data indicating Cambridge Redevelopment Authority ownership are in fact owned by the federal government as part of the Volpe Transportation Research Center and are so treated here. o Other: Nontaxable properties owned by a nonprofit organization and not

This dataset contains indicators for both the decennial Census and American Community Survey (ACS) describing the population of Massachusetts through census geographies associated with the 2020 Decennial Census. Decennial Census indicators exist as the block, block group, and tract levels. ACS indicators are only at the block group and tract levels. The American Community Survey is produced annually by the U.S. Census Bureau in one-, three-, and five-year estimates. It details basic information on demographics, race and ethnicity, economics, education levels, transportation modes, family and households characteristics, etc. The indicators here are from five-year estimates. Raw data and more information on the American Community Survey can be found at https://www.census.gov/programs-surveys/acs/.

Morocco MA: Coverage: Social Safety Net Programs: 4th Quintile: % of Population data was reported at 32.544 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: 4th Quintile: % of Population data is updated yearly, averaging 32.544 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: 4th Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

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:

• Live Street Address Management (SAM) Addresses.
• Assessing Online.
• Building and Property Violations
• Problem Properties
• Income-Restricted Properties
• STR Registration Data

HOW TO DETERMINE ELIGIBILITY FOR SHORT-TERM RENTAL REGISTRATION

1. ** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.

2. Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.

3. Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”

   • A “yes” under any of these columns means your unit IS eligible for registration under that short-term rental type. Click here for a description of short-term rental types.
   • A “no” under any of these columns means your unit is NOT eligible for registration under that short-term rental type. Click here for a description of short-term rental types.

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

WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

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

1. No affordability covenant restrictions

   • A “yes” in the “Income Restricted” column tells you that the unit is marked as income restricted and is NOT eligible.
     
     
   • The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.
     
     
   • For questions about affordability covenants, contact the Department of Neighborhood Development.
     
     

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

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.

Morocco MA: Coverage: Social Safety Net Programs: Richest Quintile: % of Population data was reported at 18.164 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: Richest Quintile: % of Population data is updated yearly, averaging 18.164 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: Richest Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Morocco MA: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population data was reported at 39.172 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population data is updated yearly, averaging 39.172 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

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.

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, and energy characteristics.

Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts. The file below, "1. 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 "2. Data Dictionary 2018". The Low-Income Energy Affordability Data comes primarily from the 2018 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2018 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 "4. 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 "5. CELICA Website" resource below.

Morocco MA: Coverage: Social Safety Net Programs: % of Population data was reported at 36.589 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: % of Population data is updated yearly, averaging 36.589 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Morocco MA: Coverage: Social Safety Net Programs: 2nd Quintile: % of Population data was reported at 43.028 % in 2009. Morocco MA: Coverage: Social Safety Net Programs: 2nd Quintile: % of Population data is updated yearly, averaging 43.028 % from Dec 2009 (Median) to 2009, with 1 observations. Morocco MA: Coverage: Social Safety Net Programs: 2nd Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Social Protection. Coverage of social safety net programs shows the percentage of population participating in cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;