About this dataset

Context

The dataset tabulates the Non-Hispanic population of Hawaii by race. It includes the distribution of the Non-Hispanic population of Hawaii across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Hawaii across relevant racial categories.

Key observations

Of the Non-Hispanic population in Hawaii, the largest racial group is Asian alone with a population of 531,189 (40.75% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Hawaii
• Population: The population of the racial category (for Non-Hispanic) in the Hawaii is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Hawaii total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Hawaii Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States (ANHPIHORUSQ156N) from Q1 2016 to Q1 2025 about native hawaiin, homeownership, asian, Pacific Islands, rate, and USA.

About this dataset

Context

The dataset tabulates the population of Hawaii County by race. It includes the population of Hawaii County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Hawaii County across relevant racial categories.

Key observations

The percent distribution of Hawaii County population by race (across all racial categories recognized by the U.S. Census Bureau): 31.13% are white, 0.79% are Black or African American, 0.34% are American Indian and Alaska Native, 21.22% are Asian, 12.08% are Native Hawaiian and other Pacific Islander, 1.91% are some other race and 32.53% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Hawaii County
• Population: The population of the racial category (excluding ethnicity) in the Hawaii County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Hawaii County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Hawaii County Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Waianae Elementary School vs. Hawaii and Hawaii Department Of Education School District

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Hawaii Academy Of Arts & Science Pcs vs. Hawaii and Hawaii Department Of Education School District

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Connections - New Century Pcs vs. Hawaii and Hawaii Department Of Education School District

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Nanaikapono Elementary School vs. Hawaii and Hawaii Department Of Education School District

The data described here result from coral bleaching surveys across the Hawaiian Archipelago from August 20 to December 7, 2019. The data provide information on live coral cover and the percentage and average severity that was bleached, as well as taxa-specific metrics (live cover and the percentage and severity that was bleached). The data were collected during a multi-institutional effort by t...

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Kaala Elementary School vs. Hawaii and Hawaii Department Of Education School District

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Ke Kula Niihau O Kekaha Learning Center vs. Hawaii and Hawaii Department Of Education School District

About this dataset

Context

The dataset tabulates the population of Honolulu County by race. It includes the population of Honolulu County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Honolulu County across relevant racial categories.

Key observations

The percent distribution of Honolulu County population by race (across all racial categories recognized by the U.S. Census Bureau): 19.86% are white, 2.48% are Black or African American, 0.25% are American Indian and Alaska Native, 42.31% are Asian, 10.24% are Native Hawaiian and other Pacific Islander, 1.47% are some other race and 23.40% are multiracial.

https://i.neilsberg.com/ch/honolulu-county-hi-population-by-race.jpeg" alt="Honolulu County population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Honolulu County
• Population: The population of the racial category (excluding ethnicity) in the Honolulu County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Honolulu County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Honolulu County Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Laupahoehoe Community - Pcs vs. Hawaii and Hawaii Department Of Education School District

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Olomana School vs. Hawaii and Hawaii Department Of Education School District

The towed-diver method is used to conduct benthic surveys, assessing large-scale disturbances (e.g., bleaching) and quantifying benthic components such as habitat complexity/type and the general distribution and abundance patterns of live coral, CCA, macroalgae, and macroinvertebrates. Surveys are conducted in the Hawaiian and Mariana Archipelagos, American Samoa, and the Pacific Remote Island Areas as part of the NOAA National Coral Reef Monitoring Program (NCRMP). A suitable method for assessing relatively large areas of reef habitat, the method involves towing a pair of SCUBA divers—one benthic and one fish—behind a small boat for approximately 50 min following the ~15-m depth contour and covering about 2–3 km of habitat. Each diver is equipped with a towboard and attempts to maintain a constant elevation above the surface of the reef (~1 m) for the duration of the survey. A complete towed-diver survey is divided into 10, 5-min segments, with visual observations recorded by 5-min segment.

The visual estimate data provided in this dataset were collected during towed-diver surveys which includes percentage cover of total live hard corals, stressed hard corals, soft corals, sand, coralline algae, and macroalgae, and the number of individual macroinvertebrates (crown of thorns starfish (COTS), sea urchins, and giant clams). Benthic habitat complexity and type data are also collected as part of the survey with the following habitat type categories: continuous reef, spur and groove, patch reefs, rock boulders, pavement, rubble flat, sand flats, pinnacle, and wall.

The data were collected around the Hawaiian Archipelago as part of the NOAA Pacific Islands Fisheries Science Center (PIFSC), Coral Reef Ecosystem Program (CREP) led mission in 2016. These data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive.

A team from the Pacific Islands Fisheries Science Center (PIFSC), Coral Reef Ecosystem Program (CREP) deployed on a two-week research cruise in November 2015 to evaluate the impacts of the 2015 mass coral bleaching event in the Main Hawaiian Islands via towed-diver surveys. Areas surveyed included south Oahu, west Maui, Lana’i, and west Hawaii island. Over the course of 10 survey days, the team surveyed approximately 90 km of 15-m wide transects at depths ranging from 2 to 10 m.

Data provided in this dataset include visual estimates recorded by towed divers of percentage of live coral that was pale and bleached, as well as presence/absence data of condition by generic composition. Analysis of observer data reveals estimates of live coral affected by the event (pale or bleached) show a regional mean of 38.8% (+/- 1.96% Confidence Interval 95%), with large variation in impact apparent between transects on the same island separated by as little as 13 km.

Additionally, instruments mounted on the towboards collected other in-situ data that are documented separately. A downward-facing DSLR camera with strobes collected photographic quadrat data by capturing an image of the benthos at 15-second intervals during the surveys. Oceanographic data was collected continuously throughout each survey with a suite of mounted sensors recording conductivity, temperature, depth, flourometry (chlorophyll-a), turbidity and dissolved oxygen.

Chapter One (1) from Volcanism in Hawaii. The Hawaiian-Emperor volcanic chain stretches nearly 6,000 km across the North Pacific Ocean and consists of at least t 07 individual volcanoes with a total volume of about 1 million cubic km. The chain is age progressive with still-active volcanoes at the southeast end and 80-75-Ma volcanoes at the northwest end. The bend between the Hawaiian and Emperor Chains reflects a major change in Pacific plate motion at 43.1 plus or minus 1.4 Ma and probably was caused by collision of the Indian subcontinent into Eurasia and the resulting reorganization of oceanic spreading centers and initiation of subduction zones in the western Pacific. The volcanoes of the chain were erupted onto the floor of the Pacific Ocean without regard for the age or preexisting structure of the ocean crust. Hawaiian volcanoes erupt lava of distinct chemical compositions during four major stages in their evolution and growth. The earliest stage is a submarine alkalic preshield stage, which is followed by the tholeiitic shield stage. The shield stage probably accounts for greater than 95 percent of the volume of each volcano. The shield stage is followed by an alkalic postshield stage during which a thin cap of alkalic basalt and associated differentiated lava covers the tholeiitic shield. After several million years of erosion, alkalic rejuvenated-stage lava erupts from isolated vents. An individual volcano may become extinct before the sequence is complete. The alkalic preshield stage is only known from recent study of Loihi Seamount. Lava from later eruptive stages has been identified from numerous submerged volcanoes located west of the principal Hawaiian Islands. Volcanic propagation rates along the chain are 9.2 plus or minus 0.3 cm/yr for the Hawaiian Chain and 7.2 plus or minus 1.1 cm/yr for the Emperor Chain. A best fit through all the age data for both chains gives 8.6 plus or minus 0.2 cm/yr. Alkalic rejuvenated-stage lava erupts on an older shield during the formation of a new large shield volcano 190 plus or minus 30 km to the east. The duration of the quiescent period preceding eruption of rejuvenated-stage lava decreases systematically from 2.5 m.y. on Niihau to less than 0.4 m.y. at Haleakala, reflecting an increase in the rate of volcanic propagation during the last few million years. Rejuvenated-stage lava is generated during the rapid change from subsidence to uplift as the volcanoes override a flexural arch created by loading the new shield volcano on the ocean lithosphere. Paleomagnetic data indicate that the Hawaiian hot spot has remained fixed during the last 40 m.y., but prior to that time the hot spot was apparently located at a more northerly latitude. The most reliable data suggest about 7 degrees of southward movement of the hot spot between 65 and 40 Ma. The numerous hypotheses to explain the mechanism of the hot spot fall into four types: propagating fracture hypotheses, thermal or chemical convection hypotheses, shear melting hypotheses, and heat injection hypotheses. A successful hypothesis must explain the propagation of volcanism along the chain, the near-fixity of the hot spot, the chemistry and timing of the eruptions from individual volcanoes, and the detailed geometry of volcanism. None of the geophysical hypotheses proposed to date are fully satisfactory. However, the existence of the Hawaiian swell suggests that hot spots are indeed hot. In addition, both geophysical and geochemical hypotheses suggest that primitive undegassed mantle material ascends beneath Hawaii. Petrologic models suggest that this primitive material reacts with the ocean lithosphere to produce the compositional range of Hawaiian lava.

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Lahaina Intermediate School vs. Hawaii and Hawaii Department Of Education School District

Projected wave climate trends from WAVEWATCH3 model output were used as input for nearshore wave models (for example, SWAN) for the main Hawaiian Islands to derive data and statistical measures (mean and top 5 percent values) of wave height, wave period, and wave direction for the recent past (1996-2005) and future projections (2026-2045 and 2085-2100). Three-hourly global climate model (GCM) wind speed and wind direction output from four different GCMs provided by the Coupled Model Inter-Comparison Project, phase 5 (CMIP5), were used as boundary conditions to the physics-based WAVEWATCH3 numerical wave model for the area encompassing the main Hawaiian islands. Two climate change scenarios for each of the four GCMs were run: the representative concentration pathway (RCP)-4.5 and RCP-8.5, representing a medium mitigation and a high emissions scenario, respectively. Simulation timeframes were limited to the years 2026-2045 and 2085-2100, as prescribed by the CMIP5 modeling framework. The WAVEWATCH3 modeled deep-water wave heights, wave periods, and wave directions, with current bathymetry were used as boundary conditions to drive simulations of mean and top 5 percent wave conditions at higher resolution over the insular shelves of the main Hawaiian islands using the 3rd-generation SWAN wave model. For each scenario, 12 simulations were made representing the month-averaged or top 5 percent conditions. The SWAN model is based on discrete spectral action balance equations, computing the evolution of random, short-crested waves. Physical processes such as bottom friction and depth induced breaking, and, non-linear quadruplet and triad wave-wave interactions are included. Wave propagation, growth, and decay are solved periodically throughout the model grid. The SWAN model has been shown to accurately model the propagation and breaking of waves over Pacific coral reefs.

This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Wailuku Elementary School vs. Hawaii and Hawaii Department Of Education School District

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography and hyperspectral imagery. Aerial photographs were acquired for the Main Eight Hawaiian Islands Benthic Mapping Project in 2000 by NOAA Aircraft Operation Centers aircraft and National Geodetic Survey cameras and personnel. Approximately 1,500, color, 9 by 9 inch photos were taken of the coastal waters of the Main Eight Hawaiian Islands at 1:24,000 scale. Specific sun angle and maximum percent cloud cover restrictions were adhered to when possible during photography missions to ensure collection of high quality imagery for the purpose of benthic mapping. In addition, consecutive photos were taken at 60 percent overlap on individual flight lines and 30 percent overlap on adjacent flight lines to allow for orthorectification and elimination of sun glint. The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. The AURORA hyperspectral imaging system collected 72 ten nm bands in visible and near infrared spectral range with a 3 meter pixel resolution. The data was processed to select band widths, which optimized feature detection in shallow and deep water. The digital scans of aerial photos and hyperspectral imagery were orthorectified to eliminate sources of spatial distortion. With these orthorectified images photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.