The population count of Ocean City Metro Area (NJ) was 96,286 in 2014.

Population

Population Change

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

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Demographics and Population Datasets Involving Ocean City Metro Area (NJ)

  • API

    Beach closings due to bacteriological levels, New Jersey, by year: Beginning 2010

    healthdata.nj.gov | Last Updated 2017-04-03T16:52:19.000Z

    Ocean and bay beach closings due to elevated bacterial levels, New Jersey. Definition: Number of ocean and tidal water beach closings due to elevated bacteriological levels. Data Source: New Jersey Department of Environmental Protection, Bureau of Water Monitoring and Standards History: MAR 2014 - 2020 target based on 2009 data (41 beach closings) MAR 2017 - Baseline year changed from 2009 to 2010.

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    NCHS - Drug Poisoning Mortality by County: United States

    data.cdc.gov | Last Updated 2017-08-28T15:09:46.000Z

    This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).

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    Mosquitoes Trap Data

    data.edmonton.ca | Last Updated 2015-10-01T21:44:26.000Z

    Capture results of mosquitoes from various locations in Edmonton. These collections are from standard New Jersey light traps that are commonly used to record changes in abundance of mosquitoes before and after control campaigns and to compare seasonal and annual fluctuations in population. Since not all mosquito species are attracted equally to light traps, the City uses a variety of other trapping and survey methods (with their own limitations) to monitor mosquitoes. Not all trap collection sites are factored into the historical averages. Some data can be incomplete due to trap failure. Some trap locations change over time. Trap collections reflect, not absolute population levels, but mosquito activity, which is influenced by changing environmental conditions (temperature, humidity, wind, etc.). The weekly averages do not include any male mosquitoes or any females of species that do not typically bite people. Each data set reflects the mosquito activity of the week previous to the collection date. To complement this dataset, there is the Rainfall Guage data which measures rainfall data in the Greater Edmonton area - https://data.edmonton.ca/Environmental-Services/Rainfall-Gauge-Results/7fus-qa4r/edit_metadata

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    NCHS - Drug Poisoning Mortality by State: United States

    data.cdc.gov | Last Updated 2017-08-25T15:32:07.000Z

    This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).

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    Vital Statistics Deaths by Resident County, Region, and Selected Cause of Death: Beginning 2003

    health.data.ny.gov | Last Updated 2017-11-16T19:47:16.000Z

    This dataset contains death counts for selected causes of death by county and region. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/.

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    Horseshoe Crab Spawning Survey

    data.delaware.gov | Last Updated 2017-07-06T17:13:42.000Z

    Survey data from 1999-2016 which denotes peak spawning occurences by day and lunar period, proportion of spawning in May (coinciding with shorebird stopovers), average water temperature, index values for female and male crabs per square meter by beach and baywide, the annual sex ratio, and index of abundance per beach.

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    Certified Vendors - Office of Supplier Diversity

    data.delaware.gov | Last Updated 2017-11-21T14:14:48.000Z

    This data set is of certified businesses owned and controlled 51% or more by minorities, women, veterans, and individuals with disabilities. The data set is updated daily and is searchable and exportable at this link: http://directory.osd.gss.omb.delaware.gov/index.shtml. The Office of Supplier Diversity's mission is to assist the entire supplier diversity community of minority, women, veteran, service disabled veteran, and individuals with disabilities owned businesses as well as small businesses of a unique size in competing for the provision of commodities, services, and construction to State departments, agencies, authorities, school districts, higher education institutions and all businesses. The Office of Supplier Diversity sits within Government Support Services, a Division of the Office of Management and Budget.

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    New York City Work and Family Leave Survey (WFLS) 2014

    data.cityofnewyork.us | Last Updated 2017-04-06T14:29:27.000Z

    The New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.

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    Mobile Telecommunication Franchise Poletop Installation Locations

    data.cityofnewyork.us | Last Updated 2017-09-08T20:21:15.000Z

    Locations of street light poles, traffic light poles and utility poles approved for the potential installation of mobile telecommunications equipment by companies authorized by the New York City Department of Information Technology and Telecommunications.