The population count of Honolulu County, HI was 975,690 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 Honolulu County, HI

  • API

    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2016-11-08T20:03:29.000Z

    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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    Table 1.09 DE FACTO POPULATION, BY COUNTY 1990 TO 2014 (as of July 1)

    data.hawaii.gov | Last Updated 2015-10-27T00:31:23.000Z

    * Includes all persons physically present in an area, regardless of military status or usual place of residence. * Includes visitors present but excludes residents temporarily absent, both calculated as an average daily census. * Maui County includes Kalawao County. The 2014 de facto population of Kalawao County, which is the Kalaupapa Settlement on Molokai, was 89. Source: DBEDT calculations based on Hawaii tourism data and population data by the U.S. Census Bureau Please go to the DBEDT Databook site, http://hawaii.gov/dbedt/info/economic/databook, for the complete data source.

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    Table 1.06 RESIDENT POPULATION, BY COUNTY 2000 TO 2014 (as of July 1)

    data.hawaii.gov | Last Updated 2015-10-27T00:48:37.000Z

    * Based on place of usual residence, regardless of physical location on the estimate or census date. * Includes military personnel stationed or homeported in Hawaii and residents temporarily absent; excludes visitors present * Maui County includes Kalawao County (Kalaupapa Settlement). Kalawao had 147 in 2000, 90 in 2010 and 89 in 2014. * Population estimates for 2000 through 2009 were revised based upon the April 1, 2010 figures which were released September 28, 2011. * Population estimates after April 1, 2010 were based on revisions released in March 2015 and may differ somewhat from earlier figures cited in other tables. Source: U.S. Bureau of the Census

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    Hate Crimes by County and Bias Type: Beginning 2010

    data.ny.gov | Last Updated 2016-09-19T19:08:40.000Z

    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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    Hawaii Directory Of Green Employers

    data.hawaii.gov | Last Updated 2012-09-27T02:22:13.000Z

    The Hawai'i Directory of Green Employers is a growing online directory of green employers in Hawai'i. The Hawaii Department of Labor and Industrial Relations (DLIR) defines green employers as businesses that employ workers in occupations in these core areas: • Generate clean, renewable, sustainable Energy • Reduce pollution and waste; conserve natural resources; recycle • Energy efficiency • Education, training and support of green workforce • Natural, sustainable, environmentally-friendly production The Directory contains employers’ self-posted profiles that describe their operations, specify their core occupations, and describe the skills and education they want in employees. Jobseekers, students, their counselors and advisors, and others can access the employer profiles to learn about these companies and the workers they require.

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    Physicians and Surgeons by Race/Ethnicity and Practice Location

    chhs.data.ca.gov | Last Updated 2016-07-22T22:13:45.000Z

    This dataset is a subset of data from the Medical Board of California’s Physician Survey of allopathic physicians and surgeons (licensees). The dataset includes the number of licensees by the county where they are practicing, as well as their race/ethnicity. Data are for California counties only.

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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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    Physicians and Surgeons by Gender and Practice Location

    chhs.data.ca.gov | Last Updated 2016-07-22T22:07:45.000Z

    This dataset is a subset of data from the Medical Board of California’s Physician Survey of allopathic physicians and surgeons (licensees). The dataset includes the number of licensees by the county where they are practicing, as well as their gender. Data are for California counties only.

  • API

    Physician Assistants by Gender and Practice Location

    chhs.data.ca.gov | Last Updated 2016-07-22T22:09:20.000Z

    This dataset is a subset of data from the Physician Assistant Board. The dataset includes the number of licensees by the county they reported practicing in, as well as their gender. Data are for California counties only.

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    Community Development Block Grant Awards (CDBG)

    data.maryland.gov | Last Updated 2016-11-29T16:54:33.000Z

    Community Development Block Grant (CDBG) funds help strengthen Maryland’s communities by expanding affordable housing opportunities, creating jobs, stabilizing neighborhoods, and improving overall quality of life. Congress created the Community Development Block Grant Program under Title I of the Housing and Community Development Act of 1974. The primary objective is to develop viable communities, provide decent housing and a suitable living environment, and to expand economic opportunities, principally for persons of low and moderate income. The U. S. Department of Housing and Urban Development (HUD) oversees the Program. The CDBG Program is comprised of two parts. The Entitlement Program is directly administered by HUD and provides Federal funds to large metropolitan "entitlement" communities. The States and Small Cities Program provides Federal funds to the States and Puerto Rico (with the exception of Hawaii) who then distribute funds to "non-entitlement" counties, small cities and towns. Congress allocates funds to the program annually. The Entitlement Program receives approximately 70% of the allocation and the remaining 30% is distributed to the States and Small Cities Program. Maryland's CDBG Program is administered by the Maryland Department of Housing and Community Development (DHCD), in cooperation with the Maryland Department of Business and Economic Development (DBED). Funding Levels The State of Maryland receives its share of the 30% allocated to States and Small Cities based on poverty and population statistics. Maryland's Program is divided into two major funding categories: Community Development and Economic Development. Community Development receives approximately 72% of the allocation and Economic Development receives 25%. The remaining funds are spent for State administration of the Program (2% + $100,000) and technical assistance to grantees (1%). USES OF FUNDS CDBG funded projects must meet one of three national objectives: Principally benefits persons of low- and moderate- income Eliminates slum and blight Meets an urgent need of recent origin threatens public health and safety Eligible projects generally fall into three types: Housing Public facilities (water/sewer; streets; childcare, senior or community centers; shelters) Economic development projects Over a designated three-year period, the State must cumulatively use 70% of its allocation to benefit persons of low and moderate income CDBG funded programs must meet one of three national objectives: (1) Principally benefits persons of low- and moderate- income, (2) Eliminates slum and blight, and (3) Meets an urgent need of recent origin threatens public health and safety. Eligible projects generally fall into three types: (1) Housing, (2) Public facilities (water/sewer; streets; childcare, senior or community centers; shelters), and (3) Economic development projects. http://www.neighborhoodrevitalization.org/Programs/CDBG/CDBG.aspx