The population density of Mechanic Falls, ME was 318 in 2014.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Geographic and Population Datasets Involving Mechanic Falls, ME

  • API

    NCHS - Injury Mortality: United States

    data.cdc.gov | Last Updated 2022-03-30T14:55:56.000Z

    This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES 1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix. 2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. 3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf. 4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

  • API

    T10 Ped Volumes

    data.sustainablesm.org | Last Updated 2020-02-19T22:46:24.000Z

    The City conducts transportation counts, which counts the numbers of vehicles, pedestrians, and bicycles moving through an intersection. Counts are typically conducted every 2 years during the weekday and weekend peak hours. The peak hours represents the time period where traffic counts are the highest due to worker commute. Weekday counts are conducted at all City signalized intersections during the AM Peak Hours (7:00 A -9:00 AM) and PM peak hours (5:30 PM – 7:30 PM) either on a Tuesday, Wednesday, or Thursday in the Fall (when school is in session). Weekend counts are conducted during the midday peak hour (1:00-5:00 PM) either on Saturday or Sunday in the Summer at signalized intersections in the Downtown and Main Street areas, as these areas tend to experience greater traffic as a result of the tourist/visitor population on the weekends. The table below provides the number of intersections that were counted in 2007 – 2013.

  • API

    T10 Bike Volumes

    data.sustainablesm.org | Last Updated 2020-02-19T23:07:22.000Z

    The City conducts transportation counts, which counts the numbers of vehicles, pedestrians, and bicycles moving through an intersection. Counts are typically conducted every 2 years during the weekday and weekend peak hours. The peak hours represents the time period where traffic counts are the highest due to worker commute. Weekday counts are conducted at all City signalized intersections during the AM Peak Hours (7:00 A -9:00 AM) and PM peak hours (5:30 PM – 7:30 PM) either on a Tuesday, Wednesday, or Thursday in the Fall (when school is in session). Weekend counts are conducted during the midday peak hour (1:00-5:00 PM) either on Saturday or Sunday in the Summer at signalized intersections in the Downtown and Main Street areas, as these areas tend to experience greater traffic as a result of the tourist/visitor population on the weekends. The table below provides the number of intersections that were counted in 2007 – 2013.

  • API

    DSNY Waste Characterization 2023 - Main Sort Results

    data.cityofnewyork.us | Last Updated 2024-05-02T20:40:57.000Z

    The NYC Department of Sanitation (DSNY) conducted the 2023 Waste Characterization Study in the Fall of 2022 and Spring of 2023. The 2023 Study determined the waste composition of several major sources from which DSNY collects: residential households, New York City Public Schools, the New York City Housing Authority (NYCHA), and on-street litter baskets. Waste from these generators was categorized into 96 main material categories, which are provided in this dataset by residential strata and time period. Results are presented in absolute terms as the quantity by weight of each material type, per stream. The quantity of each material is calculated by applying the percent composition to the total quantity of specified DSNY collections.

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    NYCHA Development Data Book

    data.cityofnewyork.us | Last Updated 2024-05-13T15:53:04.000Z

    Contains the main body of the "Development Data Book". The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.

  • API

    Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

    data.cdc.gov | Last Updated 2023-08-29T00:10:33.000Z

    <strong>On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors.</strong> Data on initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Due to a change in national medical data coding standards in 2015, from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the ICD-10-CM, the definition for injuries and injury subcategories changed for the 2017 reporting period and beyond. Results from 2017 and subsequent years should not be compared with previous reporting periods. Any observed changes in trends across this transition period should not be considered. Data for 2016 are not included. Additional information regarding injury definitions and categorization of injuries by mechanism and intent of injury is available at: https://www.cdc.gov/nchs/injury/injury_tools.htm. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. SOURCE: NCHS, National Hospital Ambulatory Medical Care Survey. For more information on the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

  • API

    Energy and Water Data Disclosure for Local Law 84 2019 (Data for Calendar Year 2018)

    data.cityofnewyork.us | Last Updated 2024-10-01T19:33:43.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

  • API

    DSNY Waste Characterization 2023 - Subsort Results

    data.cityofnewyork.us | Last Updated 2024-05-02T13:45:10.000Z

    The NYC Department of Sanitation (DSNY) conducted the 2023 Waste Characterization Study in the Fall of 2022 and Spring of 2023. The 2023 Study determined the waste composition of several major sources from which DSNY collects: residential households, New York City Public Schools, the New York City Housing Authority (NYCHA), and on-street litter baskets. Waste from these generators was categorized into 96 main material categories. In addition to the 96 sort categories, certain material groups were further subsorted into 826 subsort categories which are provided in this dataset by residential strata and time period. Because not all the main material categories were subsorted, there are two separate datasets — one for the main sort results and one for the subsort results. Results for both datasets are presented in absolute terms as the quantity by weight of each material type, per stream. The quantity of each material is calculated by applying the percent composition to the total quantity of specified DSNY collections.

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    Energy and Water Data Disclosure for Local Law 84 2017 (Data for Calendar Year 2016)

    data.cityofnewyork.us | Last Updated 2024-10-01T19:33:13.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

  • API

    Calgary Equity Index Matrix

    data.calgary.ca | Last Updated 2023-02-01T15:38:55.000Z

    The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.