The population count of Kalawao County, HI was 73 in 2014.


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 Kalawao County, HI

  • API

    Table 1.09 DE FACTO POPULATION, BY COUNTY 1990 TO 2014 (as of July 1) | 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,, for the complete data source.

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    Table 1.06 RESIDENT POPULATION, BY COUNTY 2000 TO 2014 (as of July 1) | 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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    DBEDT Hawaii De Facto Population By County 2000-2010 | Last Updated 2012-09-05T00:34:45.000Z

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    Uninsured Population Census Data CY 2009-2014 Human Services | Last Updated 2017-07-31T18:19:23.000Z

    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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    Physicians and Surgeons by Race/Ethnicity and Practice Location | 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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    Hawaii Directory Of Green Employers | 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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    Hate Crimes by County and Bias Type: Beginning 2010 | Last Updated 2017-11-15T16:30:09.000Z

    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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    Physicians and Surgeons by Gender and Practice Location | 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.

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    Physician Assistants by Gender and Practice Location | 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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    Patient Characteristics Survey (PCS): 2013 | Last Updated 2017-09-21T14:31:42.000Z

    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.