14 datasets found
  1. o

    High Country Lane Cross Street Data in Boston, VA

    • ownerly.com
    Updated Dec 20, 2021
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    Ownerly (2021). High Country Lane Cross Street Data in Boston, VA [Dataset]. https://www.ownerly.com/va/boston/high-country-ln-home-details
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    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    High Country Lane, Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for High Country Lane cross streets in Boston, VA.

  2. A

    Boston Opportunity Agenda - State of Early Early Education and Care

    • data.boston.gov
    csv, xlsx
    Updated Jun 5, 2020
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    Mayor's Office of Women's Advancement (2020). Boston Opportunity Agenda - State of Early Early Education and Care [Dataset]. https://data.boston.gov/dataset/boston-opportunity-agenda-state-of-early-early-education-and-care
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    csv(21420), xlsx(13436)Available download formats
    Dataset updated
    Jun 5, 2020
    Dataset authored and provided by
    Mayor's Office of Women's Advancement
    License

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

    Area covered
    Boston
    Description

    Summary

    The State of Early Education and Care in Boston: Supply, Demand, Affordability, and Quality, is the first in what is planned as a recurrent landscape survey of early childhood, preschool and childcare programs in every neighborhood of Boston. It focuses on potential supply, demand and gaps in child-care seats (availability, quality and affordability). This report’s estimates set a baseline understanding to help focus and track investments and policy changes for early childhood in the city.

    This publication is a culmination of efforts by a diverse data committee representing providers, parents, funding agencies, policymakers, advocates, and researchers. The report includes data from several sources, such as American Community Survey, Massachusetts Department of Early Education and Care, Massachusetts Department of Elementary & Secondary Education, Boston Public Health Commission, City of Boston, among others. For detailed information on methodology, findings and recommendations, please access the full report here

    The first dataset contains all Census data used in the publication. Data is presented by neighborhoods:

    • Population 0 – 5 years;
    • Population 0 – 2 years;
    • Population 3 – 5 years;
    • Race/ethnicity for children 0 – 4 years (White, non-Hispanic; Black; Asian; Hispanic/Latinx);
    • Family type (married couples, female householder, male householder);
    • Poverty status;
    • Family median income in the past 12 months;
    • Average cost of care as a percentage of median family income (infant, preschool);
    • Share of families that cannot afford care (infant, preschool)

    The Boston Planning & Development Agency Research Division analyzed 2013-2017 American Community Survey data to estimate numbers by ZIP-Code. The Boston Opportunity Agenda combined that data by the approximate neighborhoods and estimated cost of care and affordability.

    Additional notes:

    • Record Type: Each record represents a ZIP-Code defined neighborhood. See list below for detailed information on Boston ZIP-Codes used to create each one of the 15 neighborhoods.
    • Data Quality: Numbers presented here came from 2013-2017 American Community Survey data. Therefore, these are ESTIMATES and have margin of errors. The smaller the geographical unit, the greater the margin of error. The Boston Planning & Development Agency analyzed the data to estimate numbers by ZIP-Code.
    • Race/Ethnicity: Non-White Hispanics may be double counted due to data limitations.
    • Cost of Care: The average cost of care as a percentage of median family income was computed assuming the annual average cost of infant care was $19,877 and the average cost of preschool care was $ 13,771 (Childcare Aware of America, 2019). For each neighborhood we estimated the impact of child care (infant and preschool) on its median annual family income.
    • Affordability: The Department of Health and Human Services (DHHS) sets a standard regarding the affordability of child care, where the annual cost of child care should not exceed 10 percent of household annual income. Using this 10% threshold, we estimated that to afford market rate infant care, a family’s annual income would have to be at least $198,770. The census income bracket closest to this income was a family income of $150,000– 199,999. To afford preschool care, a family's annual income should be at least $137,710. Thus, the census income bracket that encompass this income is $125,000 - 149,999. For both infant and preschool care, we underestimated the number of families that can afford care.
  3. d

    TIGER/Line Shapefile, 2019, state, Massachusetts, Current Census Tract...

    • catalog.data.gov
    Updated Oct 12, 2021
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    (2021). TIGER/Line Shapefile, 2019, state, Massachusetts, Current Census Tract State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-massachusetts-current-census-tract-state-based
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    Dataset updated
    Oct 12, 2021
    Area covered
    Massachusetts
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  4. o

    State Street Cross Street Data in Boston, MA

    • ownerly.com
    Updated Jan 16, 2022
    + more versions
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    Ownerly (2022). State Street Cross Street Data in Boston, MA [Dataset]. https://www.ownerly.com/ma/boston/state-st-home-details
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    Dataset updated
    Jan 16, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Massachusetts, Boston
    Description

    This dataset provides information about the number of properties, residents, and average property values for State Street cross streets in Boston, MA.

  5. o

    COVID-19 US State Policy Database

    • openicpsr.org
    Updated Mar 15, 2021
    + more versions
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    Julia Raifman; Kristen Nocka; David Jones; Jacob Bor; Sarah Lipson; Jonathan Jay; Megan Cole; Noa Krawczyk; Emily A Benfer; Philip Chan; Sandro Galea (2021). COVID-19 US State Policy Database [Dataset]. https://www.openicpsr.org/openicpsr/project/119446/version/V68/view;jsessionid=84E58D37FA2CE99DB335A8F50401A668
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    Dataset updated
    Mar 15, 2021
    Dataset provided by
    Boston University School of Public Health
    NYU Langone Health
    Wake Forest University
    Brown University
    Authors
    Julia Raifman; Kristen Nocka; David Jones; Jacob Bor; Sarah Lipson; Jonathan Jay; Megan Cole; Noa Krawczyk; Emily A Benfer; Philip Chan; Sandro Galea
    License

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

    Time period covered
    Feb 2020 - Jun 2020
    Area covered
    Virginia, Missouri, Indiana, Pennsylvania, Wisconsin, Minnesota, Texas, Illinois, District of Columbia, United States
    Dataset funded by
    Boston University Clinical & Translational Science Institute
    The Pew Charitable Trusts (funds COVID-19 housing & utilities policy research)
    Robert Wood Johnson Foundation Evidence for Action
    Description
    For questions or comments about the database please contact:
    Alexandra Skinner
    skinnera@bu.edu
    Research Fellow & Database Manager
    Department of Health Law, Policy & Management
    Boston University School of Public Health


    Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.

  6. o

    Boston State Road Cross Street Data in Boston, NY

    • ownerly.com
    Updated Mar 10, 2022
    + more versions
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    Ownerly (2022). Boston State Road Cross Street Data in Boston, NY [Dataset]. https://www.ownerly.com/ny/boston/boston-state-rd-home-details
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    Dataset updated
    Mar 10, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Boston, Boston State Road, New York
    Description

    This dataset provides information about the number of properties, residents, and average property values for Boston State Road cross streets in Boston, NY.

  7. o

    State Line Road Cross Street Data in Boston, GA

    • ownerly.com
    Updated Dec 14, 2021
    + more versions
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    Ownerly (2021). State Line Road Cross Street Data in Boston, GA [Dataset]. https://www.ownerly.com/ga/boston/state-line-rd-home-details
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    Dataset updated
    Dec 14, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Boston, State Line Road, Georgia
    Description

    This dataset provides information about the number of properties, residents, and average property values for State Line Road cross streets in Boston, GA.

  8. d

    Weekly United States COVID-19 Racial Data By State, April 12, 2020 to March...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated May 18, 2022
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    The COVID Tracking Project and the Boston University Center for Antiracist Research (2022). Weekly United States COVID-19 Racial Data By State, April 12, 2020 to March 7, 2021 [Dataset]. http://doi.org/10.7272/Q6TT4P68
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 18, 2022
    Dataset provided by
    Dryad
    Authors
    The COVID Tracking Project and the Boston University Center for Antiracist Research
    Time period covered
    2022
    Area covered
    United States
    Description

    Dataset includes README file that describes all datapoints.

  9. d

    TIGER/Line Shapefile, 2019, 2010 state, Massachusetts, 2010 Census Block...

    • catalog.data.gov
    Updated Oct 12, 2021
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    (2021). TIGER/Line Shapefile, 2019, 2010 state, Massachusetts, 2010 Census Block State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-2010-state-massachusetts-2010-census-block-state-based
    Explore at:
    Dataset updated
    Oct 12, 2021
    Area covered
    Massachusetts
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

  10. o

    Boston State Road Cross Street Data in Hamburg, NY

    • ownerly.com
    Updated Dec 9, 2021
    + more versions
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    Ownerly (2021). Boston State Road Cross Street Data in Hamburg, NY [Dataset]. https://www.ownerly.com/ny/hamburg/boston-state-rd-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Boston State Road, Hamburg, New York
    Description

    This dataset provides information about the number of properties, residents, and average property values for Boston State Road cross streets in Hamburg, NY.

  11. A

    City of Boston Managed Streets

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +3more
    Updated Nov 14, 2024
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    Boston Maps (2024). City of Boston Managed Streets [Dataset]. https://data.boston.gov/dataset/city-of-boston-managed-streets
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    zip, html, geojson, arcgis geoservices rest api, csv, kml, shpAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Boston Maps
    License

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

    Area covered
    Boston
    Description

    This layer represents all the public and many of the private roadways in Massachusetts, including designations for Interstate, U.S. and State routes.

    Formerly known as the Massachusetts Highway Department (MHD) Roads, then the Executive Office of Transportation - Office of Transportation Planning (EOT-OTP) Roads, the MassDOT roads layer includes linework from the 1:5,000 road and rail centerlines data that were interpreted as part of the 1990s Black and White Digital Orthophoto project. The Massachusetts Department of Transportation - Office of Transportation Planning, which maintains this layer, continues to add linework from municipal and other sources and update existing linework using the most recent color ortho imagery as a base. The attribute table includes many "road inventory" items maintained in MassDOT's linear referencing system.

    The data layer published in November 2018 is based on the MassDOT 2017 year-end Road Inventory layer and results of a 2014-2015 MassDOT-Central Transportation Planning Staff project to conflate street names and other attributes from MassGIS' "base streets" to the MassDOT Road Inventory linework. The base streets are continually maintained by MassGIS as part of the NextGen 911 and Master Address Database projects. MassGIS staff reviewed the conflated layer and added many base street arcs digitized after the completion of the conflation work. MassGIS added several fields to support legacy symbology and labeling. Other edits included modifying some linework in areas of recent construction and roadway reconfiguration to align to 2017-2018 Google ortho imagery, and making minor fixes to attributes and linework.

    In ArcSDE this layer is named EOTROADS_ARC.

    From this data layer MassGIS extracted the Major Roads and Major Highway Routes layers.

  12. d

    TIGER/Line Shapefile, 2019, state, Massachusetts, Primary and Secondary...

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). TIGER/Line Shapefile, 2019, state, Massachusetts, Primary and Secondary Roads State-based Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-massachusetts-primary-and-secondary-roads-state-based-shapefile
    Explore at:
    Dataset updated
    Jan 15, 2021
    Area covered
    Massachusetts
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

  13. a

    Elementary School Districts

    • esri-boston-office.hub.arcgis.com
    • rigis.org
    • +1more
    Updated Oct 1, 2014
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    Environmental Data Center (2014). Elementary School Districts [Dataset]. https://esri-boston-office.hub.arcgis.com/datasets/edc::elementary-school-districts
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    Dataset updated
    Oct 1, 2014
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

    School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2013-2014 school year.

  14. O

    2013: ECAD Commercial Portfolio Manager Reported Data

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +5more
    application/rdfxml +5
    Updated Apr 1, 2014
    + more versions
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    City of Austin, Texas - data.austintexas.gov (2014). 2013: ECAD Commercial Portfolio Manager Reported Data [Dataset]. https://data.austintexas.gov/Utilities-and-City-Services/2013-ECAD-Commercial-Portfolio-Manager-Reported-Da/rka3-mjzi
    Explore at:
    json, csv, application/rssxml, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Apr 1, 2014
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This report is the result of the Austin City Code 6-7’s Energy Conservation Audit and Disclosure Ordinance approved in November 2008 (amended in April 2011) to improve the energy efficiency of homes and buildings that receive electricity from Austin Energy. The ordinance meets one of the goals of the Austin Climate Protection Plan, which is to offset 800 megawatts of peak energy demand by 2020. This report contains information on commercial facilities that have reported the EPA’s Energy Star Portfolio Manager benchmarking results in 2013 () to the City of Austin. For information on ECAD exemptions and other requirements, see Austin City Code Chapter 6-7. Note – () Data reported by Commercial Customers.

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    Learn how you can add new datasets to our index.

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Ownerly (2021). High Country Lane Cross Street Data in Boston, VA [Dataset]. https://www.ownerly.com/va/boston/high-country-ln-home-details

High Country Lane Cross Street Data in Boston, VA

Explore at:
Dataset updated
Dec 20, 2021
Dataset authored and provided by
Ownerly
Area covered
High Country Lane, Virginia
Description

This dataset provides information about the number of properties, residents, and average property values for High Country Lane cross streets in Boston, VA.

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