About this dataset

Context

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

Key observations

The percent distribution of Tulsa population by race (across all racial categories recognized by the U.S. Census Bureau): 56.98% are white, 14.25% are Black or African American, 4.29% are American Indian and Alaska Native, 3.46% are Asian, 0.22% are Native Hawaiian and other Pacific Islander, 5.94% are some other race and 14.85% 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 Tulsa
• Population: The population of the racial category (excluding ethnicity) in the Tulsa is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Tulsa 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 Tulsa Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Tulsa, the largest racial group is White alone with a population of 211,769 (63.59% 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 Tulsa
• Population: The population of the racial category (for Non-Hispanic) in the Tulsa is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Tulsa 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 Tulsa Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Tulsa County, OK (B03002021E040143) from 2009 to 2023 about Tulsa County, OK; Tulsa; OK; latino; hispanic; estimate; persons; 5-year; population; and USA.

Some other race Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Tulsa, Oklahoma by age, education, race, gender, work experience and more.

Some other race Health Insurance Coverage Statistics for 2023. This is part of a larger dataset covering consumer health insurance coverage rates in Tulsa County, Oklahoma by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the Tulsa County population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Tulsa County.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Tulsa County, OK Population Breakdown by Race
• Tulsa County, OK Non-Hispanic Population Breakdown by Race
• Tulsa County, OK Hispanic or Latino Population Distribution by Their Ancestries

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/.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Tulsa Met High School vs. Oklahoma and Tulsa School District

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Osage County, OK (B03002010E040113) from 2009 to 2023 about Osage County, OK; Tulsa; OK; non-hispanic; estimate; persons; 5-year; population; and USA.

IntroductionHow an event is framed impacts how people judge the morality of those involved, but prior knowledge can influence information processing about an event, which also can impact moral judgments. The current study explored how blame framing and self-reported prior knowledge of a historical act of racial violence, labeled as Riot, Massacre, or Event, impacted individual’s cumulative moral judgments regarding the groups involved in the Tulsa Race Massacre (Black Tulsans, the Tulsa Police, and White Tulsans).Methods and resultsThis study was collected in two cohorts including undergraduates attending the University of Oklahoma and individuals living in the United Kingdom. Participants were randomly assigned to a blame framing condition, read a factual summary of what happened in Tulsa in 1921, and then responded to various moral judgment items about each group. Individuals without prior knowledge had higher average Likert ratings (more blame) toward Black Tulsans and lower average Likert ratings (less blame) toward White Tulsans and the Tulsa Police compared to participants with prior knowledge. This finding was largest when what participants read was framed as a Massacre rather than a Riot or Event. We also found participants with prior knowledge significantly differed in how they made moral judgments across target groups; those with prior knowledge had lower average Likert ratings (less blame) for Black Tulsans and higher average Likert ratings (more blame) for White Tulsans on items pertaining to causal responsibility, intentionality, and punishment compared to participants without prior knowledge.DiscussionFindings suggest that the effect of blame framing on moral judgments is dependent on prior knowledge. Implications for how people interpret both historical and new events involving harmful consequences are discussed.

This dataset tracks annual two or more races student percentage from 2011 to 2020 for Memorial Junior High School vs. Oklahoma and Tulsa School District

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Tulsa School District vs. Oklahoma

Black or African American Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Tulsa, Oklahoma by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset presents the median household income across different racial categories in Tulsa. 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 Tulsa population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 56.98% of the total residents in Tulsa. Notably, the median household income for White households is $66,319. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $66,319.

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Tulsa.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Tulsa median household income by race. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Osage County, OK (B03002021E040113) from 2009 to 2023 about Osage County, OK; Tulsa; OK; latino; hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

This list ranks the 28 cities in the Tulsa County, OK by Non-Hispanic Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Other Race Population: This column displays the rank of cities in the Tulsa County, OK by their Non-Hispanic Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Other Race Population: The Non-Hispanic Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Tulsa County Non-Hispanic Other Race Population: This tells us how much of the entire Tulsa County, OK Non-Hispanic Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Under 18 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Tulsa, Oklahoma by age, education, race, gender, work experience and more.

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Tulsa Welding School-Tulsa vs. Oklahoma

This StoryMap explores the impacts of Urban Renewal throughout the 1950s-70s on the city of Tulsa, Oklahoma. It explores the ways that the construction of highways during this time period destroyed, divided, and left a lasting legacy on the city. Details on map layers are below, and image citations can be found at the end of the StoryMap.Map Layers: 1954 USGS Topographic Map, Tulsa Quadrangle. Scanned from the Carleton College Map Collection and georeferenced to the appropriate geographic area. https://gouldguides.carleton.edu/maps2016 USGS Topographic Map, Tulsa Quadrangle. Downloaded from USGS Topoview from the National Geological Map Database and used for comparison against the map from the same quadrangle in 1954.Aerial Imagery of Tulsa, OK (1943, 1967). Downloaded from the Oklahoma Historical Aerial Digitization Project. The images were then georeferenced and historic features were digitized and layered over modern aerial imagery to show changes.Tulsa Race and Income Layers (1960, 2020). This data is from the U.S. Census in 1960 and 2020, and downloaded from IPUMS NHGIS and was spatially joined to the boundaries of the 1960 census tracts in Tulsa to show the predominant race and income level in each tract. (Citation: Steven Manson, Jonathan Schroeder, David Van Riper, Katherine Knowles, Tracy Kugler, Finn Roberts, and Steven Ruggles. IPUMS National Historical Geographic Information System: Version 18.0. Minneapolis, MN: IPUMS. 2023. https://doi.org/10.18128/D050.V18.0)

Historical Dataset of Tulsa Met High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2009-2023),Asian Student Percentage Comparison Over Years (2009-2020),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2022-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2009-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2013-2021)

This dataset tracks annual two or more races student percentage from 2014 to 2023 for Tulsa Legacy Charter Schl Inc vs. Oklahoma and Lighthouse Academy Charter School District