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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 Omaha. The dataset can be utilized to gain insights into gender-based income distribution within the Omaha 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 Omaha 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 Omaha School District vs. Nebraska
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 2002 to 2023 for Omaha Public Schools Homebased vs. Nebraska and Omaha 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 Omaha. 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 Omaha population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 68.77% of the total residents in Omaha. Notably, the median household income for White households is $79,177. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $79,177.
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 Omaha 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 1988 to 2004 for Parrish Program vs. Nebraska and Omaha 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 diversity score from 2008 to 2020 for Purdue University Global-Omaha vs. Nebraska
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 2007 to 2023 for Xenon International Academy-Omaha vs. Nebraska
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 Central High School vs. Nebraska and Omaha 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 diversity score from 2007 to 2015 for ITT Technical Institute-Omaha vs. Nebraska
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 1999 to 2023 for Fullerton Magnet Center vs. Nebraska and Omaha 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Omaha. 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 2012 and 2022, 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
https://i.neilsberg.com/ch/omaha-ne-median-household-income-by-race-trends.jpeg" alt="Omaha, NE median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">
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 Omaha 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 Indian Hill Elementary School vs. Nebraska and Omaha 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 diversity score from 2007 to 2016 for Vatterott College-Spring Valley vs. Nebraska
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Global biodiversity is declining rapidly as a consequence of anthropogenic changes to the environment. Traditional diversity indices such as species richness have been used to assess biodiversity, but recent arguments call for a more comprehensive assessment that includes both phylogenetic and functional diversity (PD and FD, respectively). Many PD metrics have been developed, but few empirical studies have compared metrics across sites with the goal of understanding their application to characterizing biodiversity. In this study, 17 PD metrics, four traditional diversity indices, and one measure of FD were calculated and compared between two Nebraska grasslands. PD metrics were calculated from robust phylogenies estimated from next-generation sequencing data of 45 species. Traditional indices were calculated using species abundance data, and FD was quantified by measuring the phylogenetic signal, K, of specific leaf area (SLA). Results showed that PD metrics and traditional indices were not always correlated, and various PD metrics characterized biodiversity differently. In addition, phylogenies estimated from >80 genes were more robust than single- or dual-gene phylogenies resulting in more reliable PD metrics. K of SLA indicated random trait assembly in all sites. Results suggested that metrics that identify phylogenetic structure and relatedness can provide information to conservation planners about the ability of a community to persist in an unpredictable future. A combination of these results with those of future investigations applying PD and FD metrics to varying communities will support concrete recommendations to conservation planners about how to incorporate these metrics into the selection of priority regions.
This bar chart depicts PERM case filings at University of Nebraska at Omaha sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.
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 Northwest High School vs. Nebraska and Omaha 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 diversity score from 1991 to 2023 for Nathan Hale Magnet Middle School vs. Nebraska and Omaha 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 diversity score from 2013 to 2023 for Wilson Focus School vs. Nebraska and Omaha 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 diversity score from 1991 to 2023 for Norris Middle School vs. Nebraska and Omaha 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 diversity score from 1991 to 2023 for South High School vs. Nebraska and Omaha 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 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 Omaha. The dataset can be utilized to gain insights into gender-based income distribution within the Omaha 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 Omaha median household income by race. You can refer the same here