The population count of Pearl City, HI was 47,241 in 2016.

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 Pearl City, HI

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    Virginia Beach Demographics

    data.vbgov.com | Last Updated 2017-10-12T13:51:45.000Z

    This dataset provides demographic information from the American Community Survey about residents of Virginia Beach. This data was originally provided in the executive summary of the City of Virginia Beach’s Operating Budget.

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    DBEDT Hawaii De Facto Population By County 2000-2010

    data.hawaii.gov | Last Updated 2012-09-05T00:34:45.000Z

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    SBIR Awards in Hawaii - Phase 1 - 2000 to 2013

    data.hawaii.gov | Last Updated 2014-12-11T21:34:31.000Z

    Phase 1 SBIR Awards in State of Hawaii from 2000 to 2013

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    Phase 2 SBIR Awards in Hawaii - 2000~2013

    data.hawaii.gov | Last Updated 2014-12-11T23:30:29.000Z

    Phase 2 SBIR Awards in Hawaii from 2000 to 2013

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    OPD Response To Resistance

    data.cityoforlando.net | Last Updated 2018-06-19T20:03:39.000Z

    Any time an Officer must respond to resistance or aggression by using certain levels of force, it is recorded and investigated by the Orlando Police Department in a Response to Resistance report. This data set comes from those reports, which are entered into OPD’s records management system. Officer involved shooting data is maintained separately by Internal Affairs and is not included in this data set. The first three fields provide basic information about the incident Incident Number - Automatically assigned at the time the incident; is created in OPD records management system. First four characters indicate the year the incident was created in the system. Incident Date Time - Day and time of the incident Incident Location - Block level address or intersection of the location The next seven fields provide information about the officer(s) involved in the incident. Officers Involved - The number of officers involved in the entire incident Officers Race - Race of the officers involved, multiple officers separated by comma (W = White, A = Asian, B = Black) Officers Ethnicity - Ethnicity of the officers involved, multiple officers separated by comma (NH = Non-hispanic, HI = Hispanic) Officers Sex - Sex of the officers involved, multiple officers separated by comma (M = Male, F = Female) Officer Battered - Did the officer report being battered during the incident Officer Injured - Did the officer report being injured during the incident Officer Medical Treatment - Did any of the officers receive medical treatment for injuries sustained during the incident The next eight fields reference what responses to resistance any officer may have used during the incident. A “Yes” indicates at least one officer used that tactic. A “No” indicates no officers used that tactic. Electronic Device Used - Commonly referred to as a Taser. This device uses propelled wires or direct contact to conduct energy to affect the sensory and motor functions of the nervous system. Chemical Agent Used - Chemical Agent, or Pepper Spray, may cause burning and tearing of the eyes, and disorientation. Tackle/ Take Down – Tactic used to gain compliance by taking a person to the ground Impact Weapon Used - Impact weapon is most commonly a baton. OPD also has a weapon called a Sage SL6 which launches rubber projectiles. Physical Strikes Made - . Strikes made with the hand, forearm, knee, or foot to assist with controlling a person. Deflation Device Used - Tire deflation devices - commonly known as "stop sticks". The use of this device is intended to deflate a vehicle’s tire(s). K9 Unit Involved - A Response to Resistance is required if a K9 bites a subject. The next seven fields provide information about the offender(s) involved in the incident. Race and ethnicity may be unknown. OPD policy is that officers not ask for information on race or ethnicity if it’s not related to the police encounter. Offenders Involved - Number of offenders involved in the entire incident Offenders Race - Race of the offenders involved, multiple offenders separated by comma (W = White, A = Asian, B = Black) Offenders Ethnicity - Ethnicity of the offenders involved, multiple offenders separated by comma (NH = Non-hispanic, HI = Hispanic) Offenders Sex - Sex of the offenders involved, multiple offenders separated by comma (M = Male, F = Female) Offender Arrested - Was the offender arrested during the incident (Not Arrested = Offender was not arrested during the incident, Misdemeanor = Offender was arrested for a misdemeanor, Felony = Offender was arrested for a Felony) Offender Injured - Did the offenders report being injured during the incident Offender Medical Treatment - Did any of the offenders receive medical treatment for injuries sustained during the incident Witnesses Involved - Count of the number of witnesses indicated in the report Status - This is an information only field to designate if the City was able to map the Incident Location

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    NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County

    data.cdc.gov | Last Updated 2018-06-04T13:33:56.000Z

    This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. DEFINITIONS Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model. NOTES Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5). Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used. Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4). The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6). County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7). SOURCES National Center for Health Statistics. Vital statistics data available online, Natality all-county files. Hyattsville, MD. Published annually. For details about file release and access policy, see NCHS data release and access policy for micro-data and compressed vital statistics files, available from: http://www.cdc.gov/nchs/nvss/dvs_data_release.htm. For natality public-use files, see vital statistics data available online, available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. National Center for Health Statistics. U.S. Census populations with bridged race categories. Estimated population data available. Postcensal and intercensal files. Hyattsville, MD

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    Hate Crimes by County and Bias Type: Beginning 2010

    data.ny.gov | Last Updated 2018-08-07T23:35:10.000Z

    Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.

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    Patient Characteristics Survey (PCS): 2013

    data.ny.gov | Last Updated 2018-08-07T22:55:56.000Z

    The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

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    Patient Characteristics Survey (PCS): 2015

    data.ny.gov | Last Updated 2018-08-07T23:29:51.000Z

    The number of persons described by survey year (2015) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

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    Patient Characteristics Survey (PCS): 2017

    data.ny.gov | Last Updated 2018-08-08T17:51:44.000Z

    The number of persons described by survey year (2017) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.