Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hawaii County Population by Race & Ethnicity. You can refer the same here
The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas included in this file refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2020 Census through the Participant Statistical Areas Program (PSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The generalized boundaries for federally recognized American Indian reservations and off-reservation trust lands are based on those as of January 1, 2022, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries for state-recognized American Indian reservations and for SDTSAs are based on those delineated by state governor-appointed liaisons for the 2020 Census through the State American Indian Reservation Program and PSAP respectively.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas referring to areas that are administered jointly and/or claimed by two or more American Indian tribes are also part of this shapefile. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The state of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2020 Census through the Participant Statistical Areas Program (PSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2024, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS).The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by state governor-appointed liaisons for the 2020 Census through the State American Indian Reservation Program and PSAP respectively.
The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas included in this file refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2019, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Introduced (non-native) species that becomes established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally.
The umbrella dataset, called United States Register of Introduced and Invasive Species (US-RIIS), is comprised of three lists, one each for Alaska (AK, with 545 records), Hawaii (HI, with 5,628 records, this dataset), and the conterminous (or lower 48) United States (L48, with 8,527 records). Each list includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to be harmful there; and/or have been used for biological control in the locality.
To be included in the GRIIS-HI, a taxon must be non-native everywhere in the locality and established (reproducing) anywhere in the locality. Native pest species are not included.
Each record has information on taxonomy, a vernacular name, establishment means designation (introduced unintentionally, or assisted colonization), degree of establishment (established, invasive, or widespread invasive), hybrid status, pathway of introduction (where available), habitat (where available), whether a biocontrol species, dates of introduction (where available; currently 46% of the records for Hawaii), associated taxa (where applicable), native and introduced distributions (where available), and citations for the authoritative source(s) from which this information is drawn. The umbrella dataset US-RIIS builds on a previous dataset, A Comprehensive List of Non-Native Species Established in Three Major Regions of the U.S.: Version 3.0 (Simpson et al., 2020, https://doi.org/10.5066/p9e5k160).
There are 14,700 records in the master list (USRIISv2_MasterList) and 12,571 unique scientific names. The list is derived from more than 5,800 authoritative sources (USRIISv2_AuthorityReferences) and was reviewed by (or based on input from) more than 30 taxonomic experts and invasive species scientists.
Many thanks to these reviewers and contributors: Coauthors Pam Fuller (USGS Emeritus), Kevin Faccenda (University of Hawaii), Neal Evenhuis (Bishop Museum), Janis Matsunaga (Hawaii Department of Agriculture), and Matt Bowser (US-Fish and Wildlife Service); contributors Rachael Blake (data science), National Socio-Environmental Synthesis Center (SESYNC); M. Lourdes Chamorro (Curculionidae), USDA-ARS Entomology; Meghan C. Eyler (data reviewer), US Fish & Wildlife Service; Danielle Froelich (Hawaiian botany), SWCA Environmental Consultants; Thomas Henry (Heteroptera), USDA-ARS Entomology; Sam James (Annelida), Maharishi University; Nancy Khan (Hawaiian botany), Smithsonian Institution; Alex Konstantinov (Chrysomelidae), USDA-ARS Entomology; Andrew P. Landsman (Arachnida), National Park Service, C&O Canal National Historical Park; Christopher Lepczyk (Vertebrata), Auburn University; Sandy Liebhold (Coleoptera), USDA-FS; Steven Lingafelter (Cerambycidae), USDA-APHIS; Walter Meshaka (Herpetology), State Museum of Pennsylvania; Gary L. Miller (Aphididae), USDA-ARS Entomology; Allen Norrbom (Tephritidae), USDA-ARS Entomology; Shyama Pagad (global invasive species), IUCN SSC Invasive Species Specialists' Group; John Reynolds (Annelida), Oligochaetology Laboratory; Alexander Salazar (Lycosidae), Miami University, Ohio; Elizabeth A. Sellers (data manager), USGS; Derek Sikes (Alaskan invertebrates), University of Alaska; Bruce A. Snyder (Annelida), Georgia College and State University; Alma Solis (Pyralid moths), USDS-ARS at the Smithsonian Institution; Rebecca Turner (data manager), Scion Inc., New Zealand; Darrell Ubick (Arachnida), Cal Academy; Warren Wagner (Hawaiian botany), Smithsonian Institution; Mark Wetzel (Annelida), Illinois Natural History Survey; and James D. Young (Lepidoptera), USDA-APHIS-PPQ-PHP. Our apologies to the many contributing experts we may have inadvertently omitted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hawaii Population by Race & Ethnicity. You can refer the same here
Data represent dependent and independent variables used in logistic modeling for a study entitled "Evaluating Establishment Success of Non-native Fishes Introduced to Inland Aquatic Habitats of Tropical Pacific Islands." The phases of invasion of nonnative species are transport, introduction, establishment, and spread. To understand likelihood of establishment of species moved to new regions, investigators often use analytical methods that include life-history attributes, ecophysiological parameters, distributional factors, propagule pressure, introduction pathways, and other salient features that contribute to successful establishment. Introductions that fail to result in establishment are often unknown. In this study we apply an information-theoretic approach to evaluate the establishment success of 80 freshwater fish species introduced to insular habitats of Hawaii and Guam, including records of species that successfully became established as well as those that failed. Eleven independent variables were analysed to examine establishment success by creating 21 a priori logistic regression models that were ranked using Akaike’s Information Criterion adjusted for small sample size. An additional 8 post-hoc models were included that comprised the best a priori model and various combinations of individual variables. The best overall model of establishment probability included taxonomic affinity (family), an effect of prior establishment success on other tropical islands, and an effect of hypoxia tolerance. Establishment success in Hawaii and Guam was highest for those species established on many other islands, and according to our best model air-breathing fishes were more likely to become established. Notable families with a moderate number of species and overall high probability of establishment success include the Centrarchidae, Cichlidae, Clariidae, Loricariidae, and Poeciliidae. Many established species are of substantial human value and were intentionally introduced to Hawaii, Guam, and other Pacific islands, including those used as food and important in aquaculture or stocked to enhance wild fisheries, sport fishes, species in the ornamental trade, and taxa introduced for biocontrol. Our results are consistent with many other studies of freshwater fish introductions globally that identify historical occurrences and propagule pressure as major determinants of establishment success.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic regions and islands. The results of the comparative study presented herein highlight examples of the apparent vulnerability and resiliency of native-dominated Hawaiian ecosystems. Specific study objectives were to: (1) collect information on plant and bird species community composition, abundance, and spatial distribution following the original HFBS methodology; (2) assess changes in several biodiversity metrics; (3) examine changes in the distribution of invasive non-native species as well as changes in land use as potential drivers of native biodiversity patterns, and (4) demonstrate field and data analysis methods that may be applied to a large-scale biodiversity monitoring program. This is the vegetation description dataset from 2015.
The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic regions and islands. The results of the comparative study presented herein highlight examples of the apparent vulnerability and resiliency of native-dominated Hawaiian ecosystems. Specific study objectives were to: (1) collect information on plant and bird species community composition, abundance, and spatial distribution following the original HFBS methodology; (2) assess changes in several biodiversity metrics; (3) examine changes in the distribution of invasive non-native species as well as changes in land use as potential drivers of native biodiversity patterns, and (4) demonstrate field and data analysis methods that may be applied to a large-scale biodiversity monitoring program. This is the pig dataset from 2015.
Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File. Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:Population by RaceWhite – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.Black or African American – A person having origins in any of the Black racial groups of Africa.American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.Some Other Race - this category is chosen by people who do not identify with any of the categories listed above. People can identify with more than one race. These people are included in the Two or More Races Hispanic or Latino PopulationThe Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.
The Hawaiian hoary bat (Lasiurus cinereus semotus), a federally and state listed endangered subspecies, is the only extant native terrestrial mammal in the Hawaiian archipelago. It is an insectivorous, solitary and foliage-roosting species that generally roosts alone or in mother-pup family groups. A total of 58 bats (17 female; 41 male; 56 adult; 2 juvenile) were captured at multiple locations on the east side of Hawaii Island from May 2018 through September 2019. Radio transmitters were affixed to 56 bats including two individuals that were recaptured and radio-tagged twice. When possible, radio telemetry was used to locate bats in trees and forest stands used for day-roosting. A total of 23 trees were identified as bat day-roosts and used by 18 radio-tagged bats (10 male; 8 female; 17 adult; 1 juvenile). Additional bats were tracked to a broader scale; in total 45 bat day-roosts were identified to the level of forest stand and these were used by 33 radio-tagged bats (23 male; 10 female; 32 adult; 1 juvenile). Of these 33 bats, fidelity to a roost tree or stand, as measured by the number of distinct days with confirmed occupancy, ranged from 1 to 15 days (mean = 5.0 days). The use of multiple roosts at the stand-level were observed for eight bats. Three maternity roosts were confirmed and two were monitored using acoustic recording and thermal video stations. Finally, bats confirmed as present at a roost tree were used as “targets” to evaluate the efficacy of detecting bats with thermal imaging, and when not effective (i.e., during hotter parts of the day when the technique could not discern bats from warm vegetation), visual searching with binocular was also investigated. Bats were detected in 30 of 95 (32%) trials. This data release consists of six tabular datasets: roost tree metrics, roost stand metrics, roost fidelity, maternity roost acoustic monitoring, maternity roost thermal video monitoring, and roost detection trials.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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): 18.81% are white, 2.43% are Black or African American, 0.24% are American Indian and Alaska Native, 42.56% are Asian, 9.93% are Native Hawaiian and other Pacific Islander, 1.61% are some other race and 24.41% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Honolulu County Population by Race & Ethnicity. You can refer the same here
The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
The arrival of the coconut rhinoceros beetle (CRB, Oryctes rhinoceros) in Hawaii poses serious threats to endemic palm species, crop species and iconic palm trees across the archipelago. As this invasive is found on the island of Oahu primarily at lower elevations, there are concerns about the species spreading towards high value native habitats at higher elevations and/or to other islands across the state. This dataset simply describes the suitability of the Hawaiian landscape to CRB spread based on climatic conditions (using mean annual temperature and precipitation) of global and local species occurrences. This CRB habitat suitability was calculated using a simple bioclim approach where suitability values reflect the proximity of a given location on a map to the median climatic condition across the occurrences considered. This approach was applied to different subsets of the available CRB occurrence data including: 1) all available global data (excluding Hawaii); 2) only occurrences within CRB's native range; 3) only occurrences in the species non-native range (excluding Hawaii); 4) only occurrences in the species insular non-native range (excluding Hawaii).; and 5) only occurrences collected in Hawaii by the CRB response team. The main model outputs of this data release can be visualized at https://rconnect.usgs.gov/CRB_habitat_suitability
Boundary of the Papahanaumokuakea Marine National Monument (PMNM), located in the Northwestern Hawaiian Islands (NWHI). Created in 2006, Papahanaumokuakea is the largest conservation area in the U.S. and one of the largest marine conservation areas in the world. It is home to extensive coral reefs harboring over 7,000 marine species, one quarter of which are found only in Hawaii. Many of the islands and shallow water environments are important habitats for rare species such as the threatened green sea turtle and the endangered Hawaiian monk seal. Significant cultural Native Hawaiian sites can also be found on the islands of Nihoa and Mokumanamana (Necker Island). Co-managed with the State of Hawaii and the U.S. Department of the Interior, the monument preserves one of the most untouched areas of coral reef in the world. This layer shows the PMNM boundary after its expansion in 2016. On August 26, 2016, President Obama signed a proclamation expanding the monument from 139,797 square miles (362,073 square kilometers) to 582,578 square miles (1,508,870 square kilometers). This extended the monument boundary westward of -163 degrees longitude out to Hawaii's Exclusive Economic Zone (EEZ) at 200 nautical miles offshore. The present layer shows the monument boundary as it existed after this expansion. To view the previous, smaller boundary, access the data layer for "hi_noaa_nwhi_papahanaumokuakea_2006" instead. NOTE: This layer is provided as polygon features. For polyline features, please see the layer named "hi_noaa_nwhi_papahanaumokuakea_line" instead. Both polygon and polyline formats are provided for this dataset because the monument boundary spans the antimeridian (+/-180 degrees longitude) making it difficult to display in many GIS software applications without showing a division at the antimeridian.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Hawaii. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Hawaii population by race & ethnicity, the population is predominantly Asian. This particular racial category constitutes the majority, accounting for 37.27% of the total residents in Hawaii. Notably, the median household income for Asian households is $105,367. Interestingly, Asian is both the largest group and the one with the highest median household income, which stands at $105,367.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hawaii median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Hawaii. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hawaii median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual native hawaiian or pacific islander student percentage from 2013 to 2023 for Hana High & Elementary School vs. Hawaii and Hawaii Department Of Education School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Honolulu County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Honolulu County population by race & ethnicity, the population is predominantly Asian. This particular racial category constitutes the majority, accounting for 42.56% of the total residents in Honolulu County. Notably, the median household income for Asian households is $107,978. Interestingly, Asian is both the largest group and the one with the highest median household income, which stands at $107,978.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Honolulu County median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Hawaii County Population by Race & Ethnicity. You can refer the same here