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This dataset tracks annual average diversity score from 2008 to 2024 for community colleges in the state of Hawaii
In 2023, 36.8 percent of Hawaii residents were Asian. A further 28 percent of the population were of two or more races, and 21 percent of Hawaii residents were white in that same year.
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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 37.47% of the total residents in Hawaii. Notably, the median household income for Asian households is $97,742. Interestingly, Asian is both the largest group and the one with the highest median household income, which stands at $97,742.
https://i.neilsberg.com/ch/hawaii-median-household-income-by-race.jpeg" alt="Hawaii median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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/
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This dataset tracks annual diversity score from 1991 to 2023 for Haaheo 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/
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This dataset tracks annual diversity score from 2003 to 2023 for Hawaii Academy Of Arts & Science Pcs vs. Hawaii and Hawaii Department Of Education School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2008 to 2023 for Hawaii Community College vs. Hawaii
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 1991 to 2023 for Hawaii
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2008 to 2023 for University of Hawaii Maui College vs. Hawaii
Diversity In HI Workforce By Age
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2003 to 2023 for Connections - New Century Pcs vs. Hawaii and Hawaii Department Of Education School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2008 to 2023 for Windward Community College vs. Hawaii
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2009 to 2023 for Hawaii School For The Deaf And Blind vs. Hawaii and Hawaii Department Of Education School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2008 to 2023 for Leeward Community College vs. Hawaii
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1991 to 2023 for Kihei 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/
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This dataset tracks annual diversity score from 1991 to 2023 for Kohala High School vs. Hawaii and Hawaii Department Of Education School District
Summary: You may have stopped believing in unicorns, but they never stopped believing in you.Storymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) K: Standard K-ESS3-1 - Earth and Human Activity - Use a model to represent the relationship between the needs of different plants or animals (including humans) and the places they liveGrade level(s) 2: Standard 2-LS4-1 - Biological Evolution: Unity and Diversity - Make observations of plants and animals to compare the diversity of life in different habitatsGrade level(s) 3: Standard 3-LS4-1 - Biological Evolution: Unity and Diversity - Analyze and interpret data from fossils to provide evidence of the organisms and the environments in which they lived long ago.Grade level(s) 3: Standard 3-LS4-3 - Biological Evolution: Unity and Diversity - Construct an argument with evidence that in a particular habitat some organisms can survive well, some survive less well, and some cannot survive at alGrade level(s) 4: Standard 4-ESS3-1 - Earth and Human Activity - Obtain and combine information to describe that energy and fuels are derived from natural resources and that their uses affect the environmentGrade level(s) 9-12: Standard HS-ESS2-7 - Earth’s Systems - Construct an argument based on evidence about the simultaneous coevolution of Earth’s systems and life on EarthMost frequently used words:unicornsunicornhawaiiareashabitatApproximate Flesch-Kincaid reading grade level: 9.7. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Hawaii. The dataset can be utilized to gain insights into gender-based income distribution within the Hawaii population, 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.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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 diversity score from 1991 to 2023 for Olomana School vs. Hawaii and Hawaii Department Of Education School District
In 2023, Hawaii Senator Mazie Hirono had the most diverse staff, with 71 percent of her staff identifying as non-Caucasian. Senator Brian Schatz of Hawaii had the second most diverse staff, with 68 percent of her staff identifying as non-Caucasian.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2015 to 2023 for Malama Honua Charter 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
This dataset tracks annual average diversity score from 2008 to 2024 for community colleges in the state of Hawaii