16 datasets found
  1. m

    Massachusetts Telephone Area Codes

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated May 5, 2024
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    MassGIS - Bureau of Geographic Information (2024). Massachusetts Telephone Area Codes [Dataset]. https://gis.data.mass.gov/datasets/massachusetts-telephone-area-codes
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    Dataset updated
    May 5, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This feature service stores telephone area codes for each municipality and reflects the addition of four "overlay" codes in Massachusetts which took effect on April 2, 2001. For more information on the Commonwealth's area codes, see Verizon's Area Codes Lookup Web page. Also see the Secretary of State's Area Code Regions map.Feature service also available.

  2. K

    City of Springfield, Massachusetts Zip Codes

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 21, 2023
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    City of Springfield, Massachusetts (2023). City of Springfield, Massachusetts Zip Codes [Dataset]. https://koordinates.com/layer/112649-city-of-springfield-massachusetts-zip-codes/
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    mapinfo tab, geopackage / sqlite, shapefile, pdf, geodatabase, dwg, csv, kml, mapinfo mifAvailable download formats
    Dataset updated
    Feb 21, 2023
    Dataset authored and provided by
    City of Springfield, Massachusetts
    Area covered
    Description

    Geospatial data about City of Springfield, Massachusetts Zip Codes. Export to CAD, GIS, PDF, CSV and access via API.

  3. A

    ZIP Codes

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +2more
    Updated Nov 15, 2024
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    Boston Maps (2024). ZIP Codes [Dataset]. https://data.boston.gov/dataset/zip-codes
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    html, arcgis geoservices rest api, csv, kml, geojson, shpAvailable download formats
    Dataset updated
    Nov 15, 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

    Description
    ZIP codes within the City of Boston. This data does not include every ZIP code in Boston as some ZIP codes don't have geography. For example 02201 (City Hall).
  4. m

    ZIP Codes (5-Digit) from HERE (Navteq) (Feature Service)

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 2, 2024
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    MassGIS - Bureau of Geographic Information (2024). ZIP Codes (5-Digit) from HERE (Navteq) (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/zip-codes-5-digit-from-here-navteq-feature-service
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    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    MassGIS had received quarterly updates of these data as part of its license for the HERE (Navteq) core map release (streets and related data); however, that license has expired. These ZIP Code boundaries are aligned to the street centerlines of the Q2 2018 HERE product (with a release date of April 1, 2018) and use a then-recent USPS source file.In March 2024, MassGIS modified the boundaries for all ZIP Code areas in Boston based on the U.S. Postal Service's ZIP Code Look Up by Address website. MassGIS also added polygons for ZIP Codes 02199 and 02203.Five-digit ZIP Codes were developed by the USPS and first introduced in 1963 for efficient mail delivery (the term ZIP stands for Zone Improvement Plan) but are difficult to map with complete certainty. In most cases, addresses in close proximity to each other are grouped in the same ZIP Code, which gives the appearance that ZIP Codes are defined by a clear geographic boundary. However, even when ZIP Codes appear to be geographically grouped, a clear ZIP Code boundary cannot always be drawn because ZIP Codes are only assigned to a point of delivery and not the spaces between delivery points. In areas without a regular postal route or no mail delivery, ZIP Codes may not be defined or have unclear boundaries.The USPS does not maintain an official ZIP Code map. The Census Bureau and many other commercial services will interpolate the data to create polygons to represent the approximate area covered by a ZIP code, but none of these maps are official or entirely accurate. Please see this good discussion of the issues of mapping ZIP Codes.See full metadata.Map service also available.

  5. m

    Wetlands

    • gis.data.mass.gov
    Updated Nov 23, 2022
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    Dukes County, MA GIS (2022). Wetlands [Dataset]. https://gis.data.mass.gov/datasets/Dukescountygis::wetlands
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Dukes County, MA GIS
    Area covered
    Description

    The MassDEP Wetlands dataset comprises two ArcGIS geodatabase feature classes:The WETLANDSDEP_POLY layer contains polygon features delineating mapped wetland resource areas and attribute codes indicating wetland type.The WETLANDSDEP_ARC layer was generated from the polygon features and contains arc attribute coding based on the adjacent polygons as well as arcs defined as hydrologic connections.Together these statewide layers enhance and replace the original MassDEP wetlands layers, formerly known as DEP Wetlands (1:12,000). It should be noted that these layers provide a medium-scale representation of the wetland areas of the state and are for planning purposes only. Wetlands boundary determination for other purposes, such as the Wetlands Protection Act MA Act M.G.L. c. 131 or local bylaws must use the relevant procedures and criteria.The original MassDEP wetlands mapping project was based on the photo-interpretation of 1:12,000, stereo color-infrared (CIR) photography, captured between 1990 and 2000, and included field verification by the MassDEP Wetlands Conservancy Program (WCP). In 2007 the MassDEP WCP began a statewide effort to assess and where necessary update the original wetlands data. The MassDEP WCP used ESRI ArcGIS Desktop software, assisted by the PurVIEW Stereo Viewing extension, to evaluate and update the original wetlands features based on photo-interpretation of 0.5m, (1:5,000) digital stereo CIR imagery statewide, captured in April 2005. No field verification was conducted on this updated 2005 wetlands data.The 2005 WETLANDSDEP_POLY layer includes polygon features that distinguish it from its predecessor by overall changes in size and shape. In addition, new polygons have been created and original ones deleted. Many of the polygons, however, remain the same as in the original layer. All changes have been made according to the techniques described below. For the purpose of cartographic continuity, a small number of coastal polygons outside the state boundary where added based on data provided by the United States Geological Survey (USGS) and the National Oceanic and Atmospheric Administration (NOAA).The 2005 WETLANDSDEP_ARC layer was generated to support map display and was designed to cartographically enhance the rendering of wetland features on a base map. Arc features in this layer were generated from the wetland polygons and coding (ARC_CODE) was assigned based on the adjacent polygon types. Hydrologic connection features (ARC_CODE = 7) were then added. Where delineated, these arc features indicate an observed hydrologic connection to or between wetland polygons. Although efforts were made to be comprehensive and thorough in mapping hydrologic connections, due to the limitations of aerial photo-interpretation some areas may have been missed.The types of updates made to the original wetland features include alteration, movement/realignment and reclassification. In some cases original wetland areas have been deleted and new areas have been added. Updates to original wetland features resulted from the following factors: changes in the natural environment due to human activity or natural causes; advances in the field of remote sensing, allowing for more refined mapping.Edit changes to the original wetland data include:Addition of new wetland and hydrologic connection featuresAppending (expansion or realignment) of existing (original) wetland and hydrologic connection featuresReclassification of wetlands features, due to change in wetlands environment from the original classificationMovement (or shifting) of original wetland features to better match the source imageryDeletion of original wetland or hydrologic connection features due to changes in wetlands environment or inconsistency with mapping criteria.Please note that although efforts were made to be comprehensive and thorough in the evaluation and mapping of statewide wetland resources some areas of the state may have been missed. Many of the wetland and hydrologic connection features remain the same as in the original data. The polygon attribute SOURCE_SCALE may be used to identify areas that have been altered from the original wetlands. The SOURCE_SCALE code 5000 indicates an updated wetland area. The SOURCE_SCALE code 12000 indicates an unaltered, original wetland polygon.

  6. a

    MassDEP Wetlands

    • geo-massdot.opendata.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated May 28, 2015
    + more versions
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    MassGIS - Bureau of Geographic Information (2015). MassDEP Wetlands [Dataset]. https://geo-massdot.opendata.arcgis.com/maps/massgis::massdep-wetlands/about
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    Dataset updated
    May 28, 2015
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The MassDEP Wetlands service comprises two feature types, polygons (areas) and arcs (lines). The attribute codes in the polygon layer describe different types of wetland environments and the arc attributes describe line types based on adjacent polygon types or arcs defined as hydrologic connections.

    This map service displays the data based on the generalized categories in the POLY_CODE and ARC_CODE fields. The 2005 MassDEP Wetlands layers provide a medium-scale representation of wetland areas of the state. Wetland areas consist of open water, vegetated wetlands, and coastal landforms. The hydrologic connection arcs provide a medium scale representation of linear features (less than 50 feet wide) that appear to contain flowing water (either intermittently or perennially) and flow into, out of, or between mapped wetland polygons. Hydrologic connections may consist of rivers, streams, ditches, culverts, swales, or other water conveyance features.

    Please see MassGIS' metadata for more details.A feature service is also available.

  7. a

    Prevalence of Adult Obesity, 2013-2014

    • hub.arcgis.com
    • visionzero.geohub.lacity.org
    • +2more
    Updated May 3, 2018
    + more versions
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Obesity, 2013-2014 [Dataset]. https://hub.arcgis.com/datasets/342a05f149004bb0ab43eb976682beba
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents 18+ who had a body mass index (BMI) of 30.0 or above. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018.AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who had a body mass index (BMI) of 30.0 or above 18 and older residing in zip code "LowerCL" = the lower 95% confidence limit represents the lower margin of error that occurs with statistical sampling"UpperCL" = the upper 95% confidence limit represents the upper margin of error that occurs in statistical sampling "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  8. e

    WMS (Web Map Service) State/potential ecological bodies of surface water...

    • data.europa.eu
    wms
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    WMS (Web Map Service) State/potential ecological bodies of surface water (lines) 2015-2021 [Dataset]. https://data.europa.eu/data/datasets/40218cc9-d838-48b5-a3e9-a5730c9fc49f
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    wmsAvailable download formats
    License

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

    Description

    The WMS (Web Map Service) potential/ecological surface water bodies with linear representation 2015-2021, the result of the integration of the information provided by 18 of the 25 Hydrographic Demarcations, in response to Article 13 of the Water Framework Directive. It does not include the 7 Demarcations of the Canary Islands. It corresponds to the plans that were officially approved as of 11-05-2015. Includes data for each mass: code, name, category, naturalness, type, Hydrographic Demarcation, length (measured in Lambert Acimutal Equivalent Area projection), mass status data, number of pressures of each class, number of impacts of each class, and whether there are protected zones of different classes on the surface of the mass. Includes data for each mass: code, name, geological horizon, Hydrographic Demarcation, area (measured in Lambert Acimutal Equivalent Area projection), mass state data, number of pressures of each class, number of impacts of each class, and whether there are protected areas of different mass-related classes. The URL of the WMS Service Potential/ecological surface water bodies (lines) 2015-2021 is: https://wms.mapama.gob.es/sig/Agua/PHC/EstEcoMasasAguaSupL2021/wms.aspx The reference systems offered by this service are: — For geographical coordinates: CRS: 84, EPSG: 4230 (ED50), EPSG:4326 (WGS 84), EPSG:4258 (ETRS 89). — For U.T.M coordinates: EPSG:32628 (WGS 84/UTM zone 28N), EPSG:32629 (WGS 84/UTM zone 29N), EPSG:32630 (WGS 84/UTM zone 30N), EPSG:32631 (WGS 84/UTM zone 31N), EPSG:25828 (ETRS 89/UTM zone 28N), EPSG:25829 (ETRS 89/UTM zone 29N), EPSG:25830 (ETRS 89/UTM zone 30N), EPSG:25831 (ETRS 89/UTM zone 31N), EPSG:23028 (ED50/UTM zone 28N), EPSG:23029 (ED50/UTM zone 29N), EPSG:23030 (ED50/UTM zone 30N), EPSG:23031 (ED50/UTM zone 31N).

  9. e

    Service WMS (Web Map Service) Chemical status surface water bodies (lines)...

    • data.europa.eu
    wms
    Updated Jun 29, 2022
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    (2022). Service WMS (Web Map Service) Chemical status surface water bodies (lines) 2015-2021 [Dataset]. https://data.europa.eu/data/datasets/8e08f57e-f694-4e97-837c-6ba1b9dca0b7
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    wmsAvailable download formats
    Dataset updated
    Jun 29, 2022
    License

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

    Description

    The Servico WMS (Web Map Service) Chemical status surface water bodies with linear representation 2015-2021, resulting from the integration of the information provided by 18 of the 25 Hydrographic Demarcations, in response to Article 13 of the Water Framework Directive. Does not include the 7 Demarcations of the Canary Islands. It corresponds to the plans that were officially approved as of 11-05-2015. Includes data for each mass: code, name, category, naturality, type, hydrographic demarcation, length (measured in Lambert Acimutal Equivalent Area projection), mass status data, number of pressures of each class, number of impacts of each class, and whether protected areas of different classes exist on the surface of the mass. Includes data for each mass: code, name, geological horizon, Hydrographic Demarcation, area (measured in Lambert Acimutal Equivalent Area projection), mass status data, number of pressures of each class, number of impacts of each class, and whether there are protected areas of different mass-related classes. The WMS Service URL Chemical status surface water bodies (lines) 2015-2021 is: https://wms.mapama.gob.es/sig/Agua/PHC/EstQuiMasasAguaSupL2021/wms.aspx The reference systems offered by this service are: — For geographical coordinates: CRS: 84, EPSG: 4230 (ED50), EPSG:4326 (WGS 84), EPSG:4258 (ETRS 89). — For U.T.M coordinates: EPSG:32628 (WGS 84/UTM zone 28N), EPSG:32629 (WGS 84/UTM zone 29N), EPSG:32630 (WGS 84/UTM zone 30N), EPSG:32631 (WGS 84/UTM zone 31N), ▷ (ETRS 89/UTM zone 28N), ▷ (ETRS 89/UTM zone 29N), ▷ (ETRS 89/UTM zone 30N), ▷ (ETRS 89/UTM zone 31N), ▷ (ED50/UTM zone 28N), ▷ (ED50/UTM zone 29N), ▷ (ED50/UTM zone 31N).

  10. A

    Climate Ready Boston Social Vulnerability

    • data.boston.gov
    • gis.data.mass.gov
    • +3more
    Updated Sep 21, 2017
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    Boston Maps (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://data.boston.gov/dataset/climate-ready-boston-social-vulnerability
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    zip, html, geojson, arcgis geoservices rest api, csv, kmlAvailable download formats
    Dataset updated
    Sep 21, 2017
    Dataset provided by
    BostonMaps
    Authors
    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
    Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.

    Source:

    The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.

    Population Definitions:

    Older Adults:
    Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.
    Attribute label: OlderAdult

    Children:
    Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.
    Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.
    Attribute label: TotChild

    People of Color:
    People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups as
    well. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.
    Attribute label: POC2

    Limited English Proficiency:
    Without adequate English skills, residents can miss crucial information on how to prepare
    for hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more socially
    isolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.
    Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.
    Attribute label: LEP

    Low to no Income:
    A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.
    Attribute label: Low_to_No

    People with Disabilities:
    People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.
    Attribute label: TotDis

    Medical Illness:
    Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.
    Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.
    Attribute label: MedIllnes

    Other attribute definitions:
    GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census Tract
    AREA_SQFT: Tract area (in square feet)
    AREA_ACRES: Tract area (in acres)
    POP100_RE: Tract population count
    HU100_RE: Tract housing unit count
    Name: Boston Neighborhood
  11. d

    Protected Areas Database of the United States (PAD-US)

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 26, 2017
    + more versions
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    US Geological Survey (USGS) Gap Analysis Program (GAP) (2017). Protected Areas Database of the United States (PAD-US) [Dataset]. https://search.dataone.org/view/0459986b-9a0e-41d9-9997-cad0fbea9c4e
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    Dataset updated
    Oct 26, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    Variables measured
    Shape, Access, Des_Nm, Des_Tp, Loc_Ds, Loc_Nm, Agg_Src, GAPCdDt, GAP_Sts, GIS_Src, and 20 more
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  12. a

    MA SSURGO Soils: Prime Farmland Soils

    • resilientma-mapcenter-mass-eoeea.hub.arcgis.com
    Updated Feb 12, 2021
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    MA Executive Office of Energy and Environmental Affairs (2021). MA SSURGO Soils: Prime Farmland Soils [Dataset]. https://resilientma-mapcenter-mass-eoeea.hub.arcgis.com/maps/Mass-EOEEA::ma-ssurgo-soils-prime-farmland-soils
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    Dataset updated
    Feb 12, 2021
    Dataset provided by
    Massachusetts Executive Office of Energy and Environmental Affairs
    Authors
    MA Executive Office of Energy and Environmental Affairs
    Area covered
    Description

    The following describes standards for assigning Important Farmland Classes to soil survey map units of Massachusetts soil survey areas.

    Criteria for the designation “Prime Farmland” per Code of Federal Regulations (CFR)

    The prime farmland class is assigned to soil map units, the major component/s relative value data[1] for which, meet prime farmland criteria per 7CFR657.5 as edited to exclude soil properties and climate not relevant to Massachusetts, and to quantify adequate available water holding capacity as follows:

    available water capacity of 3.5 in (8.9 cm) or more[2] within a depth of 40 in (1 m) or the depth to an impermeable layer if less than 40 in (1 m) and,pH between 4.5 and 8.4 in all horizons within a depth of 40 in (1 m) and,water table, if present, not shallower than 15 in (38 cm) during May through October and,infrequent (less often than once in 2 years) or no flooding during May through October and,the product of Kw (erodibility factor, whole soil) of the mineral soil surface and percent slope is less than 2.0[3]; and,permeability rate of at least 0.06 in (0.15 cm) per hour in the upper 20 in (50 cm); and,upper 6 in (15 cm) of the soil surface contains less than 10 percent rock fragments by volume coarser than 3 in (7.6 cm) diameter; and,not more than 0.1 percent of the soil surface is covered by stones 10 in (25cm) to 24 in (60cm) diameter, and/or boulders >24 in (60 cm) diameter, and.less than 2 percent bedrock exposure.

    Qualifiers for data application to Massachusetts soil survey map unit prime farmland criteria per CFR:

    Entire pH data range is applied to the pH criterion. All soil survey map unit components that otherwise meet prime farmland criteria have mineral horizon pH ranges w/in the CFR criterion. Tillage and accepted agricultural practices negate the pH limitation where attribute relative value is less than 4.5. Map units having a predominance of soils of coarse-loamy or coarse-silty particle size class overlying densic contact on 0 to 8% slopes with available water capacity data values <3.5 in (8.1 cm), and that meet remaining criteria per CFR are designated prime farmland. Although attribute data indicates the available water holding capacity minimum of 3.5 in (8.1 cm) is not met, these soils maintain a reservoir of moisture that supports plant growth due to reduced gravitational water loss and meets criteria per CFR of adequate moisture supply for the crops commonly grown. This qualifier is applicable to soil map components with moderately coarse to medium textured mantles overlying lodgment till.Where the product of K and slope percent is 2 or less for the lower part of a 3 to 8 percent map unit slope phase range but exceeds 2 for the upper part of the slope range, and remaining criteria per CFR are met, the map unit is designated prime farmland. Map units that meet all prime farmland criteria per CFR except the relative value data representing the predominant components reflects available water capacity of less than 3.5 in (8.9 cm) through the upper 40 in (1 m) but has sufficient available water capacity in the upper profile, are designated prime farmland. This qualifier is applicable to soil survey map unit components having moderately coarse to medium textured mantles overlying coarse textured deposits.Complexes and Associations - Soil map units with more than 50 percent components that meet any of the above scenarios are designated prime.

    Criteria for the designation “Farmland of Statewide Importance"

    Soil map units, the predominant composition of which does not meet criteria for prime farmland and have all the following characteristics…available water capacity of 2.0 in (5.1 cm) or more[4] within a depth of 40 in (1 m); and,pH between 4.5 and 8.4 in all horizons within a depth of 40 in (1 m) and,water table, if present, not shallower than 15 in (38 cm) during May through October; and,infrequent (less often than once in 2 years) or no flooding during May through October; and,the product of Kw (erodibility factor, whole soil) of the mineral soil surface and percent slope is less than 4.2[5]; and,permeability rate of at least 0.06 in (0.15 cm) per hour in the upper 20 in (50 cm); and,upper 6 in (15 cm) with less than 35 percent rock fragments by volume coarser than 3 in (7.6 cm); and,not more than 3 percent of the soil surface is covered by stones 10 in (25 cm) to 24 in (60 cm) diameter and, not more than 0.1 percent of the surface is covered by boulders >24 in (60 cm) diameter, andless than 2 percent bedrock exposures.

    Qualifiers for data application to Massachusetts Farmland of Statewide Importance Criteria

    Where the product of K and slope percent is 4.2 or less for the lower part of an 8 to 15 percent map unit slope phase range but exceeds 4.2 for the upper part of the slope range, and remaining criteria are met, the map unit is designated farmland of statewide importance. Complexes and Associations - Soil map units with more than 50 percent components that meet the above criteria are designated farmland of statewide importance.

    Important Farmland Soil Map Unit Designation Overriding Scenarios

    Application of anomalous or non-representative data elements to important farmland criteria may result in inaccurate class placement. The consideration of the characteristics of the soil survey map unit as a whole as assessed by Massachusetts NRCS staff overrides point specific data.

    K factors and available water capacity data for the same nominal component may vary among soil survey areas resulting in different data-derived farmland classes. The characteristics of the predominant condition based on acreage extent will be applied state-wide for prime farmland and farmland of state-wide importance designations.

    The following address specific scenarios where calculations based on attribute data may inaccurately place a map unit in prime farmland or farmland of statewide Importance classes. Soil map units having any of the following characteristics are precluded from important farmland designations:A major component that is shallow to lithic contact: complex slopes, surface stones and boulders associated with these map units, and very shallow components within these landscapes are significant limitations to agriculture.Slope phase range that includes 20 percent or more. Per recommendation from MA NRCS ecological sciences staff, 20 percent slope or greater is limiting for equipment operations.Hydric soil composition greater than or equal to 50 percent.Quartzipsamment composition greater than or equal to 50 percent: droughty, inherently low fertility. A major component of urban land and/or major component classified to level above series i.e. Udorthents.Map unit complexes associated with the undulating, rolling, irregular slopes of the Cape Cod terminal moraines.

    Soil map units having any of the following characteristics are precluded from the designation, Prime Farmland:

    Composition of soil components in the sandy-skeletal particle size class greater than or equal to 50 percent.Slope phase range that exceeds 8 percent.[6]

    Unique Farmland

    Soil survey map units designated as Unique Farmland, are those suitable for, and have an established history of cranberry production. The Unique Farmland designation is excluded from soil survey areas with few or no lands with cranberry production.

    [1] Relative value refers to the value assigned to specific data elements in the National Soils Information System. Application of anomalous or non-representative values to important farmland criteria may result in inaccurate class placement. The consideration of the characteristics of the soil map unit as a whole overrides point specific data as determined by Massachusetts NRCS staff.

    [2]Available water capacity needs determined from “Conservation Irrigation Guide for Massachusetts, 1981”

    [3]Slope range values applied to this criterion exclude the lowest whole number in the range to separate overlap with the adjacent lower slope phase as follows: 0-3, 4-8, 9-15.

    [4]Available water capacity needs determined from Conservation Irrigation Guide for Massachusetts, 1981

    [5]Product of K and slope criterion based on historical precedent, MA Soil Conservation Service document, “Additional Farmland of State or Local Importance”,1/17/1986. Slope range values applied to this criterion exclude the lowest whole number in the range to separate overlap with the adjacent lower slope phase as follows: 0-3, 4-8, 9-15.

    [6]Based on data, some map units meet Prime Farmland criteria on the lower part of the 8-15 percent slope range. About a dozen map units with available water capacity >3.5 inches and Kw of .1, .2, .15, or .17 were noted, all of which have loamy surface textures and parent material like other map units with higher Kw factors. The decision to exclude slopes greater than 8 percent from Prime Farmland is based on the preponderance of attribute data for similar soils.

  13. m

    MassGIS Data: Property Tax Parcels

    • mass.gov
    Updated Aug 29, 2018
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    MassGIS (Bureau of Geographic Information) (2018). MassGIS Data: Property Tax Parcels [Dataset]. https://www.mass.gov/info-details/massgis-data-property-tax-parcels
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    Dataset updated
    Aug 29, 2018
    Dataset authored and provided by
    MassGIS (Bureau of Geographic Information)
    Area covered
    Massachusetts
    Description

    August 2025

  14. a

    Watersheds HUC 8

    • resilientma-mapcenter-mass-eoeea.hub.arcgis.com
    Updated Mar 29, 2022
    + more versions
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    MA Executive Office of Energy and Environmental Affairs (2022). Watersheds HUC 8 [Dataset]. https://resilientma-mapcenter-mass-eoeea.hub.arcgis.com/maps/edeef4a81a014927a687089403bc5232
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    Dataset updated
    Mar 29, 2022
    Dataset authored and provided by
    MA Executive Office of Energy and Environmental Affairs
    Area covered
    Description

    The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

  15. a

    Surging Seas Risk Zone Map

    • open-data-massgis.hub.arcgis.com
    • gis.data.mass.gov
    Updated Mar 22, 2024
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    MassGIS - Bureau of Geographic Information (2024). Surging Seas Risk Zone Map [Dataset]. https://open-data-massgis.hub.arcgis.com/datasets/surging-seas-risk-zone-map
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    Dataset updated
    Mar 22, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Description

    Surging Seas Risk Zone MapThis global interactive map — searchable by city or postal code — shows areas vulnerable to permanent submergence from sea level rise, or to flooding from sea level rise, storm surge, tides, and tsunamis, in different combinations.

  16. m

    Parcel Filter - App

    • gis.data.mass.gov
    Updated Sep 27, 2021
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    Dukes County, MA GIS (2021). Parcel Filter - App [Dataset]. https://gis.data.mass.gov/datasets/Dukescountygis::parcel-filter-app
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    Dataset updated
    Sep 27, 2021
    Dataset authored and provided by
    Dukes County, MA GIS
    Description

    These boundaries are for planning purposes only and are not survey grade. For the most up-to-date assessing info, please contact the Town's Assessor.The parcels from all 6 towns on Martha's Vineyard are included in this application. The map must be zoomed in far enough before the parcels will display on the map. The data are served out from MassGIS. All parcel data comply with the MassGIS Level 3 Parcel Data Standard.More details about the parcel data are available here.Filter Settings -- These are the queries used on the filters where the user does not enter a value.Parcel Size -- Is using the parcel size (in square meters) that is calculated by the GIS program. It is not using the Assessor's quoted parcel size.Parcel is Vacant -- If the assessed building value is < $25,000Parcel is Developed -- If the assessed building value is at least $25,000Year-Round Resident -- If the property owner's mailing address zip code (on file with the town assessor) is an On-Island zip code, then the owner is assumed to be a year-round resident.Seasonal Resident (non-year-round) -- If the property owner's mailing address zip code (on file with the town assessor) is NOT an On-Island zip code, then the owner is assumed to be a seasonal, non-year-round resident.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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MassGIS - Bureau of Geographic Information (2024). Massachusetts Telephone Area Codes [Dataset]. https://gis.data.mass.gov/datasets/massachusetts-telephone-area-codes

Massachusetts Telephone Area Codes

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Dataset updated
May 5, 2024
Dataset authored and provided by
MassGIS - Bureau of Geographic Information
Area covered
Description

This feature service stores telephone area codes for each municipality and reflects the addition of four "overlay" codes in Massachusetts which took effect on April 2, 2001. For more information on the Commonwealth's area codes, see Verizon's Area Codes Lookup Web page. Also see the Secretary of State's Area Code Regions map.Feature service also available.

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