39 datasets found
  1. m

    Emergency Assistance (EA) Family Shelter Resources and Data

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

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

  2. F

    SNAP Benefits Recipients in Massachusetts

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Massachusetts [Dataset]. https://fred.stlouisfed.org/series/BRMA25M647NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Massachusetts
    Description

    Graph and download economic data for SNAP Benefits Recipients in Massachusetts (BRMA25M647NCEN) from Jan 1981 to Jun 2023 about MA, SNAP, nutrition, food stamps, benefits, food, and USA.

  3. f

    Data_Sheet_1_Food insecurity and the role of food assistance programs in...

    • figshare.com
    docx
    Updated Jun 4, 2023
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    Matthew M. Lee; Mary Kathryn Poole; Rachel M. Zack; Lauren Fiechtner; Eric B. Rimm; Erica L. Kenney (2023). Data_Sheet_1_Food insecurity and the role of food assistance programs in supporting diet quality during the COVID-19 pandemic in Massachusetts.docx [Dataset]. http://doi.org/10.3389/fnut.2022.1007177.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Matthew M. Lee; Mary Kathryn Poole; Rachel M. Zack; Lauren Fiechtner; Eric B. Rimm; Erica L. Kenney
    License

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

    Area covered
    Massachusetts
    Description

    BackgroundEconomic and supply chain shocks resulting from the COVID-19 pandemic in 2020 led to substantial increases in the numbers of individuals experiencing food-related hardship in the US, with programs aimed at addressing food insecurity like the Supplemental Nutrition Assistance Program (SNAP) and food pantries seeing significant upticks in utilization. While these programs have improved food access overall, the extent to which diet quality changed, and whether they helped mitigate diet quality disruptions, is not well understood.ObjectiveTo evaluate food insecurity, food pantry and/or SNAP participation associations with both diet quality as well as perceived disruptions in diet during the COVID-19 pandemic among Massachusetts adults with lower incomes.MethodsWe analyzed complete-case data from 1,256 individuals with complete data from a cross-sectional online survey of adults (ages 18 years and above) living in Massachusetts who responded to “The MA Statewide Food Access Survey” between October 2020 through January 2021. Study recruitment and survey administration were performed by The Greater Boston Food Bank. We excluded respondents who reported participation in assistance programs but were ineligible (n = 168), those who provided straightlined responses to the food frequency questionnaire component of the survey (n = 34), those with incomes above 300% of the federal poverty level (n = 1,427), those who completed the survey in 2021 (n = 8), and those who reported improved food insecurity (n = 55). Current dietary intake was assessed via food frequency questionnaire. Using Bayesian regression models, we examined associations between pandemic food insecurity, perceived disruption in diet, diet quality, and intakes of individual foods among those who completed a survey in 2020. We assessed interactions by pantry and SNAP participation to determine whether participation moderated these relationships.ResultsIndividuals experiencing food insecurity reported greater disruption in diet during the pandemic and reduced consumption of healthy/unhealthy foods. Pantry participation attenuated significant associations between food insecurity and lower consumption of unhealthy (b = −1.13 [95% CI −1.97 to −0.31]) and healthy foods (b = −1.07 [−1.82 to −0.34]) to null (unhealthy foods: −0.70 [−2.24 to 0.84]; healthy foods: 0.30 [−1.17 to 1.74]), whereas SNAP participation attenuated associations for healthy foods alone (from −1.07 [−1.82 to −0.34] to −0.75 [−1.83 to 0.32]). Results were robust to choice of prior as well as to alternative modeling specifications.ConclusionAmong adults with lower incomes, those experiencing food insecurity consumed less food, regardless of healthfulness, compared to individuals not experiencing food insecurity. Participation in safety-net programs, including SNAP and pantry participation, buffered this phenomenon. Continued support of SNAP and the food bank network and a focus on access to affordable healthy foods may simultaneously alleviate hunger while improving nutrition security.

  4. O

    SNAP, TAFDC and EAEDC Participation by Cambridge Zip Code 2017 - present

    • data.cambridgema.gov
    application/rdfxml +5
    Updated May 15, 2025
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    (2025). SNAP, TAFDC and EAEDC Participation by Cambridge Zip Code 2017 - present [Dataset]. https://data.cambridgema.gov/w/r6b9-cun5/t8rt-rkcd?cur=gnIaTjzMc5j
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    json, xml, tsv, csv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    May 15, 2025
    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 set summarizes participation by Cambridge residents by zip code in three public benefit programs, Supplemental Nutrition Assistance Program (SNAP), Temporary Assistance for Families with Dependent Children (TADFC), and Emergency Aid to the Elderly, Disabled, and Children (EAEDC). Data was drawn from Monthly Caseload by Zip Code reports published by the Department of Transitional Assistance (DTA), which have been published monthly since August 2017.

    More information about these food and cash assistance programs, and the complete Monthly Caseload by Zip Code reports, which include program utilization data from all Massachusetts zip codes, may be found on the DTA website:

    https://www.mass.gov/orgs/department-of-transitional-assistance

  5. m

    Child Requiring Assistance (CRA) Filings

    • mass.gov
    Updated Nov 14, 2023
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    Office of the Child Advocate (2022). Child Requiring Assistance (CRA) Filings [Dataset]. https://www.mass.gov/info-details/child-requiring-assistance-cra-filings
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    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    Office of the Child Advocate
    Area covered
    Massachusetts
    Description

    This page provides data on Child Requiring Assistance (CRA) applications and filings in Massachusetts.

  6. m

    Data from: Massachusetts Farmers' Markets

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    Updated Jul 10, 2014
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    MassGIS - Bureau of Geographic Information (2014). Massachusetts Farmers' Markets [Dataset]. https://gis.data.mass.gov/datasets/massachusetts-farmers-markets
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    Dataset updated
    Jul 10, 2014
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    A Massachusetts Farmers’ Market is a public market for the primary purpose of connecting, and mutually benefiting, Massachusetts farmers, communities and shoppers while promoting and selling products grown and raised by participating farmers.The Farmers' Markets layer is derived from the Farmers’ Markets database maintained by the Mass. Department of Agricultural Resources. The Department provides technical assistance to individuals and groups trying to start a farmers' market, helps farmers find appropriate farmers' markets to participate in, and encourages consumers to patronize farmers' markets through various publications, including the MassGrown Map, which also pulls data from the Farmers’ Markets database.As well as basic information about the markets, this data layer includes information about participation in the food assistance programs Supplemental Nutrition Assistance Program (SNAP) and Farmers’ Market Nutrition Program (FMNP) (see Attributes below). Women, Infants and Children Cash Value Vouchers (WIC-CVV) are not currently redeemable at farmers markets.The data in this map service are current as of July 26, 2023.

  7. F

    SNAP Benefits Recipients in Suffolk County, MA

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Suffolk County, MA [Dataset]. https://fred.stlouisfed.org/series/CBR25025MAA647NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Suffolk County, Massachusetts
    Description

    Graph and download economic data for SNAP Benefits Recipients in Suffolk County, MA (CBR25025MAA647NCEN) from 1989 to 2022 about Suffolk County, MA; Boston; MA; SNAP; nutrition; food stamps; benefits; food; and USA.

  8. F

    SNAP Benefits Recipients in Bristol County, MA

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Bristol County, MA [Dataset]. https://fred.stlouisfed.org/series/CBR25005MAA647NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Bristol County, Massachusetts
    Description

    Graph and download economic data for SNAP Benefits Recipients in Bristol County, MA (CBR25005MAA647NCEN) from 1989 to 2022 about Bristol County, MA; Providence; MA; SNAP; nutrition; food stamps; benefits; food; and USA.

  9. 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
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    csv(102677), pdf(63838), pdf(63774), csv(113262), pdf(104953), pdf(415408), csv(118206), csv(113058)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

  10. F

    SNAP Benefits Recipients in Plymouth County, MA

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Plymouth County, MA [Dataset]. https://fred.stlouisfed.org/series/CBR25023MAA647NCEN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Plymouth County, Massachusetts
    Description

    Graph and download economic data for SNAP Benefits Recipients in Plymouth County, MA (CBR25023MAA647NCEN) from 1989 to 2022 about Plymouth County, MA; Boston; MA; SNAP; nutrition; food stamps; benefits; food; and USA.

  11. f

    Additional file 1 of Participation in a food assistance program and...

    • figshare.com
    xlsx
    Updated Jun 6, 2022
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    Raiane Medeiros Costa; Ingrid Wilza Leal Bezerra; Karina Gomes Torres; Gabriela Santana Pereira; Anissa Melo de Souza; Antonio Gouveia Oliveira (2022). Additional file 1 of Participation in a food assistance program and excessive weight gain: an evaluation of the Brazilian Worker’s Food Program in male and female manufacturing workers [Dataset]. http://doi.org/10.6084/m9.figshare.20004609.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 6, 2022
    Dataset provided by
    figshare
    Authors
    Raiane Medeiros Costa; Ingrid Wilza Leal Bezerra; Karina Gomes Torres; Gabriela Santana Pereira; Anissa Melo de Souza; Antonio Gouveia Oliveira
    License

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

    Description

    Additional file 1.

  12. Morocco MA: Coverage: Social Safety Net Programs: Poorest Quintile: % of...

    • ceicdata.com
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    CEICdata.com, Morocco MA: Coverage: Social Safety Net Programs: Poorest Quintile: % of Population [Dataset]. https://www.ceicdata.com/en/morocco/social-protection/ma-coverage-social-safety-net-programs-poorest-quintile--of-population
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2009
    Area covered
    Morocco
    Variables measured
    Employment
    Description

    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;

  13. f

    Reducing US cardiovascular disease burden and disparities through national...

    • plos.figshare.com
    doc
    Updated Jun 3, 2023
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    Jonathan Pearson-Stuttard; Piotr Bandosz; Colin D. Rehm; Jose Penalvo; Laurie Whitsel; Tom Gaziano; Zach Conrad; Parke Wilde; Renata Micha; Ffion Lloyd-Williams; Simon Capewell; Dariush Mozaffarian; Martin O’Flaherty (2023). Reducing US cardiovascular disease burden and disparities through national and targeted dietary policies: A modelling study [Dataset]. http://doi.org/10.1371/journal.pmed.1002311
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    docAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Jonathan Pearson-Stuttard; Piotr Bandosz; Colin D. Rehm; Jose Penalvo; Laurie Whitsel; Tom Gaziano; Zach Conrad; Parke Wilde; Renata Micha; Ffion Lloyd-Williams; Simon Capewell; Dariush Mozaffarian; Martin O’Flaherty
    License

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

    Description

    BackgroundLarge socio-economic disparities exist in US dietary habits and cardiovascular disease (CVD) mortality. While economic incentives have demonstrated success in improving dietary choices, the quantitative impact of different dietary policies on CVD disparities is not well established. We aimed to quantify and compare the potential effects on total CVD mortality and disparities of specific dietary policies to increase fruit and vegetable (F&V) consumption and reduce sugar-sweetened beverage (SSB) consumption in the US.Methods and findingsUsing the US IMPACT Food Policy Model and probabilistic sensitivity analyses, we estimated and compared the reductions in CVD mortality and socio-economic disparities in the US population potentially achievable from 2015 to 2030 with specific dietary policy scenarios: (a) a national mass media campaign (MMC) aimed to increase consumption of F&Vs and reduce consumption of SSBs, (b) a national fiscal policy to tax SSBs to increase prices by 10%, (c) a national fiscal policy to subsidise F&Vs to reduce prices by 10%, and (d) a targeted policy to subsidise F&Vs to reduce prices by 30% among Supplemental Nutrition Assistance Program (SNAP) participants only. We also evaluated a combined policy approach, combining all of the above policies. Data sources included the Surveillance, Epidemiology, and End Results Program, National Vital Statistics System, National Health and Nutrition Examination Survey, and published meta-analyses.Among the individual policy scenarios, a national 10% F&V subsidy was projected to be most beneficial, potentially resulting in approximately 150,500 (95% uncertainty interval [UI] 141,400–158,500) CVD deaths prevented or postponed (DPPs) by 2030 in the US. This far exceeds the approximately 35,100 (95% UI 31,700–37,500) DPPs potentially attributable to a 30% F&V subsidy targeting SNAP participants, the approximately 25,800 (95% UI 24,300–28,500) DPPs for a 1-y MMC, or the approximately 31,000 (95% UI 26,800–35,300) DPPs for a 10% SSB tax.Neither the MMC nor the individual national economic policies would significantly reduce CVD socio-economic disparities. However, the SNAP-targeted intervention might potentially reduce CVD disparities between SNAP participants and SNAP-ineligible individuals, by approximately 8% (10 DPPs per 100,000 population). The combined policy approach might save more lives than any single policy studied (approximately 230,000 DPPs by 2030) while also significantly reducing disparities, by approximately 6% (7 DPPs per 100,000 population).Limitations include our effect estimates in the model; these estimates use interventional and prospective observational studies (not exclusively randomised controlled trials). They are thus imperfect and should be interpreted as the best available evidence. Another key limitation is that we considered only CVD outcomes; the policies we explored would undoubtedly have additional beneficial effects upon other diseases. Further, we did not model or compare the cost-effectiveness of each proposed policy.ConclusionsFiscal strategies targeting diet might substantially reduce CVD burdens. A national 10% F&V subsidy would save by far the most lives, while a 30% F&V subsidy targeting SNAP participants would most reduce socio-economic disparities. A combined policy would have the greatest overall impact on both mortality and socio-economic disparities.

  14. F

    SNAP Benefits Recipients in Worcester County, MA

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Worcester County, MA [Dataset]. https://fred.stlouisfed.org/series/CBR25027MAA647NCEN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Worcester County, Massachusetts
    Description

    Graph and download economic data for SNAP Benefits Recipients in Worcester County, MA (CBR25027MAA647NCEN) from 1989 to 2022 about Worcester County, MA; Worcester; MA; SNAP; nutrition; food stamps; benefits; food; and USA.

  15. f

    Data_Sheet_1_Evaluation of Food Insecurity in Adults and Children With...

    • frontiersin.figshare.com
    pdf
    Updated Jun 3, 2023
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    Perry S. Brown; Dixie Durham; Rick D. Tivis; Shannon Stamper; Cleary Waldren; Sarah E. Toevs; Barbara Gordon; Tiffany A. Robb (2023). Data_Sheet_1_Evaluation of Food Insecurity in Adults and Children With Cystic Fibrosis: Community Case Study.PDF [Dataset]. http://doi.org/10.3389/fpubh.2018.00348.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Perry S. Brown; Dixie Durham; Rick D. Tivis; Shannon Stamper; Cleary Waldren; Sarah E. Toevs; Barbara Gordon; Tiffany A. Robb
    License

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

    Description

    Advances in the care and treatment of cystic fibrosis (CF) have led to improved mortality rates; therefore, considerably more individuals with CF are living into adulthood. With an increased number of CF patients advancing into adulthood, there is the need for more research that surrounds the aging adult CF patient. It is important to conduct research and collect results on the aging CF population to help better prepare the CF patient, who is dealing with the heavy treatment and financial burden of their disease, build autonomy and increase their quality of life. Of note, research has found that social, behavioral, and physical factors influence the ability of those with CF to follow dietary recommendations. A primary treatment goal in CF is a high calorie, high protein, and high fat diet. A socio-economic factor that has not been adequately investigated with regards to dietary compliance of individuals with CF is food insecurity. The aim of this community case study was to document the experiences and estimate the prevalence of food insecurity among CF patients residing in Idaho. The correlation between food insecurity and health outcomes (lung function and body mass index) was also examined. Participants included adult patients and parents of pediatric patients with CF. Food insecurity rates among CF patients of all ages were found to be significantly higher than that seen in the overall community; however, no specific correlation between food insecurity and body mass index (BMI) or lung function emerged. This case study highlights the need for continued research around food access issues in this patient population. The data resulting from this study shows the value of CF advocacy organizations promoting efforts to build resources and provide education around food insecurity issues.

  16. M

    Morocco MA: Coverage: Social Safety Net Programs: 4th Quintile: % of...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Morocco MA: Coverage: Social Safety Net Programs: 4th Quintile: % of Population [Dataset]. https://www.ceicdata.com/en/morocco/social-protection/ma-coverage-social-safety-net-programs-4th-quintile--of-population
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2009
    Area covered
    Morocco
    Variables measured
    Employment
    Description

    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;

  17. T

    Pathways/Programs Enrollment by Grade, Race/Ethnicity, Gender, and Selected...

    • educationtocareer.data.mass.gov
    application/rdfxml +5
    Updated Aug 29, 2023
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    Department of Elementary and Secondary Education (2023). Pathways/Programs Enrollment by Grade, Race/Ethnicity, Gender, and Selected Populations [Dataset]. https://educationtocareer.data.mass.gov/w/9p45-t37j/default?cur=1Somm-xb1iX&from=VwyfbiANRoa
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    tsv, application/rdfxml, csv, xml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Department of Elementary and Secondary Education
    Description

    Massachusetts offers a variety of pathways and programs to ensure students graduate college and career ready. These include Career Technical Education (CTE) programs, Early College, and Innovation Pathways. For more information about these pathways and programs, visit the Office of College, Career, and Technical Education website.

    This dataset contains student enrollment data for all public and charter schools and districts since 2022. It is a wide file with three groups of columns representing the following enrollment indicators:

    • Number of students in CTE programs, Early College, and Innovation Pathways by grade, including grades 9-12 and special education beyond grade 12 (SP)
    • Percent of students in CTE programs, Early College, and Innovation Pathways by race and gender
    • Number and percent of students in CTE programs, Early College, and Innovation Pathways in student groups: First Language Not English, English Learners, Students with Disabilities, High Needs, Low Income, and Economically Disadvantaged
    Economically Disadvantaged was used 2015-2021. Low Income was used prior to 2015, and a different version of Low Income has been used since 2022. Please see the DESE Researcher's Guide for more information.

    After Dark Chapter 74 enrollment is a subset of Chapter 74 Program enrollment. Also, in 2022, some districts reported enrollment in additional Innovation Pathway sectors. This report includes only the five designated sectors.

    This dataset contains the same data that is also published on our DESE Profiles site: Pathways/Programs Enrollment by Grade Pathways/Programs Enrollment by Race/Gender Pathways/Programs Enrollment by Selected Population

    List of Pathways and Programs

    Pathways

    • After Dark
    • Career Connections (Non-Chapter 74 Programs)
    • Career Technical Education (Chapter 74 Programs)
    • Early College
    • Innovation Career Pathways
    After Dark
    • Advanced Manufacturing Technology
    • Automotive Collision Repair & Refinishing
    • Automotive Technology
    • Carpentry
    • Construction Craft Laborer
    • Cosmetology
    • Design & Visual Communications
    • Electricity
    • Exploratory
    • Health Assisting
    • Heating - Ventilation - Air Conditioning - Refrigeration
    • Horticulture
    • Information Support Services & Networking
    • Metal Fabrication & Joining Technologies
    • Plumbing
    Career Connections (Non-Chapter 74 Programs)
    • Airplane Mechanics and Aircraft Maintenance Technology/Technician
    • Automotive Collision Repair & Refinishing
    • Automotive Technology
    • Biotechnology
    • Building/Property Maintenance
    • Business Technology
    • Cabinetmaking
    • Carpentry
    • Construction Craft Laborer
    • Criminal Justice
    • Culinary Arts
    • Design & Visual Communications
    • Drafting
    • Early Education and Care
    • Engineering Technology
    • Environmental Science & Technology
    • Exploratory
    • Family & Consumer Studies (formerly vocational home economics)
    • Fashion Technology
    • Graphic Communications
    • Health Assisting
    • Heating - Ventilation - Air Conditioning - Refrigeration
    • Hospitality Management
    • Information Support Services & Networking
    • Marketing/Finance
    • Medical Assisting
    • Programming & Web Development
    • Radio & Television Broadcasting
    • Robotics and Automation Technology
    Career Technical Education (Chapter 74 Programs)
    • Advanced Manufacturing Technology
    • Agricultural Mechanics
    • Animal Science
    • Automotive Collision Repair & Refinishing
    • Automotive Technology
    • Aviation Maintenance Technology
    • Biotechnology
    • Building/Property Maintenance
    • Business Technology
    • Cabinetmaking
    • Carpentry
    • Construction Craft Laborer
    • Cosmetology
    • Criminal Justice
    • Culinary Arts
    • Dental Assisting
    • Design & Visual Communications
    • Diesel Technology
    • Drafting
    • Early Education and Care
    • Electricity
    • Electronics
    • Engineering Technology
    • Environmental Science & Technology
    • Exploratory
    • Fashion Technology
    • Graphic Communications
    • Health Assisting
    • Heating - Ventilation - Air Conditioning - Refrigeration
    • Horticulture
    • Hospitality Management
    • Information Support Services & Networking
    • Marine Service Technology
    • Marketing
    • Masonry & Tile Setting
    • Medical Assisting
    • Metal Fabrication & Joining Technologies
    • Painting & Design Technologies
    • Plumbing
    • Programming & Web Development
    • Radio & Television Broadcasting
    • Robotics and Automation Technology
    • Sheet Metalworking
    • Stationary Engineering
    Innovation Career Pathways
    • Business and Finance
    • Environmental and Life Science
    • Health Care and Social Assistance
    • Information
    • Manufacturing

  18. T

    Average Earnings of High School Graduates by Industry

    • educationtocareer.data.mass.gov
    application/rdfxml +5
    Updated Jun 2, 2023
    + more versions
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    Executive Office of Education (2023). Average Earnings of High School Graduates by Industry [Dataset]. https://educationtocareer.data.mass.gov/Finance-and-Budget/Average-Earnings-of-High-School-Graduates-by-Indus/wxc8-6an4
    Explore at:
    application/rssxml, json, csv, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset authored and provided by
    Executive Office of Education
    Description

    See notice below about this dataset

    This dataset provides the average annual earnings by industry per district.

    Wage records are obtained from the Massachusetts Department of Unemployment Assistance (DUA) using a secure, anonymized matching process with limitations. For details on the process and suppression rules, please visit the Employment and Earnings of High School Graduates dashboard.

    This dataset is one of three containing the same data that is also published in the Employment and Earnings of High School Graduates dashboard: Average Earnings by Student Group Average Earnings by Industry College and Career Outcomes

    List of Industries

    • 00 - All Students
    • 11 - Agriculture, Forestry, Fishing and Hunting
    • 21 - Mining, Quarrying, and Oil and Gas Extraction
    • 22 - Utilities
    • 23 - Construction
    • 31 - Manufacturing
    • 42 - Wholesale Trade
    • 44 - Retail Trade
    • 48 - Transportation and Warehousing
    • 51 - Information
    • 52 - Finance and Insurance
    • 53 - Real Estate and Rental and Leasing
    • 54 - Professional, Scientific, and Technical Services
    • 55 - Management of Companies and Enterprises
    • 56 - Administrative and Support and Waste Management and Remediation Services
    • 61 - Educational Services
    • 62 - Health Care and Social Assistance
    • 71 - Arts, Entertainment, and Recreation
    • 72 - Accommodation and Food Services
    • 81 - Other Services (except Public Administration)
    • 92 - Public Administration
    • 0 - No Industry Reported
    2025 Update on DESE Data on Employment and Earnings 

    The data link between high school graduates and future earnings makes it possible to follow students beyond high school and college into the workforce, enabling long-term evaluation of educational programs using workforce outcomes.

    While DESE has published these data in the past, as of June 2025 we are temporarily pausing updates due to an issue conducting the link that was brought to our attention in 2023 by a team of researchers. The issue impacts the earnings information for students who never attended a postsecondary institution or who only attended private or out-of-state colleges or universities, beginning with the 2017 high school graduation cohort, with growing impact in each successive high school graduation cohort.

    The issue does not impact the earnings information for students who attended a Massachusetts public institution of higher education, and earnings data for those students will continue to be updated.

    Once a solution is found, the past cohorts of data with low match rates will be updated. DESE and partner agencies are exploring linking strategies to maximize the utility of the information.

    More detailed information can be found in the attached memo provided by the research team from the Annenberg Institute. We thank them for calling this issue to our attention.

  19. m

    Community Resiliency by Design

    • gis.data.mass.gov
    Updated Jul 16, 2019
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    Cape Cod Commission (2019). Community Resiliency by Design [Dataset]. https://gis.data.mass.gov/datasets/CCCommission::community-resiliency-by-design
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    Dataset updated
    Jul 16, 2019
    Dataset authored and provided by
    Cape Cod Commission
    Description

    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.

  20. M

    Morocco MA: Coverage: Social Safety Net Programs: 3rd Quintile: % of...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Morocco MA: Coverage: Social Safety Net Programs: 3rd Quintile: % of Population [Dataset]. https://www.ceicdata.com/en/morocco/social-protection/ma-coverage-social-safety-net-programs-3rd-quintile--of-population
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2009
    Area covered
    Morocco
    Variables measured
    Employment
    Description

    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;

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

Emergency Assistance (EA) Family Shelter Resources and Data

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

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

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