The land area of Littleton Common, MA was 4 in 2014.
Land Area
Water Area
Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.
Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Area Datasets Involving Littleton Common, MA
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Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Instances)
datahub.transportation.gov | Last Updated 2024-07-18T01:02:15.000ZThe data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data collection runs, collected using an Instrumented Research Vehicle (IRV) along freeways and arterials in western Massachusetts in the summer of 2016 to better understand work zone driver behaviors. The USDOT Volpe National Transportation Systems Center (Volpe Center) identified, isolated, and classified individual car following instances from within the raw datasets (classification parameters included roadway type, level of congestion, and speed limit), then processed, refined, and cleaned the dataset. This table contains the car-following instances recorded by Volpe staff. See also the runs table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/b3k6-qwyh) and radar table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/4qbx-egtn).
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Infectious Illness Dashboard
data.somervillema.gov | Last Updated 2024-08-06T17:42:02.000ZThis is a dataset for the City of Somerville Infectious Illness Dashboard. This dataset combines multiple public data sources concerning COVID and flu in Massachusetts and, where possible, in the Somerville area specifically. Data sources include the Center for Disease Control, the Massachusetts Department of Public Health, and the Massachusetts Water Resources Authority.
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Massachusetts Department of Transportation (MassDOT) Work Zone Data Exchange (WZDx) v3.1 Feed Sample
datahub.transportation.gov | Last Updated 2024-05-13T17:47:08.000ZThis dataset provides information on work zones in the state of Massachusetts in a tabular format and is updated daily based on the <a href="https://wzdx.massdot-swzm.com/massdot_wzdx_v3.1.geojson" target="_blank" rel="noopener">live MassDOT Work Zone Data Exchange (WZDx) Feed</a>. A continuously updating archive of the MassDOT WZDx feed data can be found at <a href="http://usdot-its-workzone-raw-publicdata.s3.amazonaws.com/index.html" target="_blank" rel="noopener">ITS WorkZone Raw Data Sandbox</a> and the <a href="http://usdot-its-workzone-publicdata.s3.amazonaws.com/index.html" target="_blank" rel="noopener">ITS WorkZone Semi-Processed Data Sandbox</a>. This <a href="https://wzdx.massdot-swzm.com/massdot_wzdx_v3.1.geojson" target="_blank" rel="noopener">live feed</a> is currently compliant with the <a href="https://github.com/usdot-jpo-ode/jpo-wzdx/tree/v3.1" target="_blank" rel="noopener">WZDx Specification v3.1</a>.
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ENERGY STAR Certified Commercial Dishwashers
data.energystar.gov | Last Updated 2024-10-16T13:33:46.000ZCertified models meet all ENERGY STAR requirements as listed in the Version 3.0 ENERGY STAR Program Requirements for Commercial Dishwashers that are effective as of July 27, 2021. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/commercial_food_service_equipment/commercial_dishwashers/key_product_criteria.
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RSBS MOM: Part 1 of 2, New York State Residential Statewide Baseline Study: Survey of Multifamily Owners and Managers
data.ny.gov | Last Updated 2019-11-15T22:04:57.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 1 (containing: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area) of 2; part 2 (https://data.ny.gov/d/hc4z-b2p5) contains: Purchasing Decisions; Washer and Dryer; and Miscellaneous. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.
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Energy and Water Data Disclosure for Local Law 84 2021 (Data for Calendar Year 2020)
data.cityofnewyork.us | Last Updated 2024-10-01T19:34:25.000ZData and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.
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Annual Town Gown Report Higher Education Statistics 2000 - 2023
data.cambridgema.gov | Last Updated 2024-01-19T15:45:22.000ZThe Town Gown reporting process derives from the 1991 Mayor's Committee on University-Community Relationships. This review takes two forms. Every year each school first submits a Town Gown Annual Report; this is then followed by a presentation to the Cambridge Planning Board. The data included here is taken from the annual reports and included in the presentations to the Planning Board
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Energy and Water Data Disclosure for Local Law 84 2022 (Data for Calendar Year 2021)
data.cityofnewyork.us | Last Updated 2022-11-03T19:56:51.000ZThis data is collected annually via EPA Portfolio Manager. The data collection requires building owners to measure their energy and water consumption and compare it against that of similar buildings in the city and country. The data is useful for policy analysts as it provides transparency into energy and water consumption for the city's largest buildings. Please visit https://www1.nyc.gov/site/buildings/codes/benchmarking.page for additional information.
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Energy and Water Data Disclosure for Local Law 84 2020 (Data for Calendar Year 2019)
data.cityofnewyork.us | Last Updated 2024-10-01T19:34:02.000ZData and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.
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Citizen Statewide Lake Monitoring Assessment Program (CSLAP) Lakes
data.ny.gov | Last Updated 2024-03-01T18:08:08.000ZThe dataset represents the lakes participating in the Citizen Statewide Lake Monitoring Assessment Program (CSLAP). CSLAP is a volunteer lake monitoring and education program that is managed by DEC and New York State Federation of Lake Associations (NYSFOLA). The data collected through the program is used to identify water quality issues, detect seasonal and long term patterns, and inform volunteers and lake residents about water quality conditions in their lake. The program has delivered high quality data to many DEC programs for over 25 years.The dataset catalogs CSLAP lake information; including: lake name, lake depth, public accessibility, trophic status, watershed area, elevation, lake area, water quality classification, county, town, CSLAP status, years sampled, and last year sampled.