The population density of Anchorage Municipality, AK was 174 in 2018.

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 Anchorage Municipality, AK

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    Anchorage Crime Data by Type and Year UCR 1985-2015

    data.muni.org | Last Updated 2017-02-15T05:25:43.000Z

    UCR Crime Data for Anchorage Current crime data at Crime Mapper https://communitycrimemap.com/?address=Anchorage,+AK

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    CAMA Property Inventory - Residential and Commercial Combined

    data.muni.org | Last Updated 2021-03-01T08:31:38.000Z

    All properties in the Municipality of Anchorage including data elements that are common to both residential and commercial properties. Disclaimer This is unofficial, unaudited data that is subject to revision. This data may contain minor errors or discrepancies not present in official, audited data and reports. This data is intended as a starting point for citizens and researchers to begin their exploration of the Municipality of Anchorage’s property and valuation data.

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    [ARCHIVED] Census Population Density

    data.novascotia.ca | Last Updated 2020-01-06T15:04:30.000Z

    <b>[ARCHIVED]</b> Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports population density. This data is sourced from the Census of Population. Geographies available: provinces, counties, communities, municipalities, district health authorities, community health boards, economic regions, police districts, school boards, municipal electoral districts, provincial electoral districts, federal electoral districts, regional development authorities, watersheds

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    Real Property Assessment Equity Statistics By Municipality: Beginning 2004

    data.ny.gov | Last Updated 2020-04-13T22:06:19.000Z

    The Department of Taxation and Finance annually produces a report documenting the results of the Market Value Survey pertaining to property assessment. The report contains the staff findings regarding assessment equity by municipality in New York State, that is, the degree to which assessments are at a uniform percentage of their market value. Equity is measured primarily by two statistics — the coefficient of dispersion (COD) and the price-related differential (PRD). For more information please go to: http://www.tax.ny.gov/research/property/default.htm

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    NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States

    data.cdc.gov | Last Updated 2020-06-05T17:24:48.000Z

    This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf). SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES 1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. 2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. 3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. 4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. 5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. 6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

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    NOAA - Number of TsunamiReady new and renewed communities

    performance.commerce.gov | Last Updated 2019-11-13T15:25:02.000Z

    Americans live in the most severe weather-prone country on Earth. TsunamiReady Communities support a Weather-Ready Nation by preparing for the occurrence of high impact environmental events. On an annual basis NWS targets 50 new and renewed TsunamiReady communities pending funding availability. A TsunamiReady County or Community or Tribe is defined as a coastal local government entity* that has the authority and ability to adopt the TsunamiReady recognition guidelines for the residents and visitors within its jurisdiction. *The term “local government” here means – (A) a county, parish (LA), borough (AK), or municipality (PR) (B) an incorporated municipality, city, town, or township (C) an Indian tribe or authorized tribal organization, or Alaska Native village or organization (D) a military installation

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    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2019-04-01T15:15:07.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.

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    Incidence Rate Of Pancreatic Cancer Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T06:47:25.000Z

    Incidence Rate Of Pancreatic Cancer Per 100,000 All States

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    Incidence Rate Of Non- Hodgkins Lymphoma Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T01:50:56.000Z

    Incidence Rate Of Non- Hodgkins Lymphoma Per 100,000 All States

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    Incidence Rate Of Mesothelioma Per 100,000 All States

    opendata.utah.gov | Last Updated 2019-04-19T05:29:37.000Z

    Incidence Rate Of Mesothelioma Per 100,000 All States