About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Mena, the largest racial group is White alone with a population of 5,172 (95.37% 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 Mena
• Population: The population of the racial category (for Non-Hispanic) in the Mena is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mena 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 Mena Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Mena population by race (across all racial categories recognized by the U.S. Census Bureau): 94.01% are white, 0.18% are Black or African American, 1.46% are American Indian and Alaska Native, 0.39% are some other race and 3.96% 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 Mena
• Population: The population of the racial category (excluding ethnicity) in the Mena is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mena 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 Mena Population by Race & Ethnicity. You can refer the same here

A public comment period outlining changes to the collection of race and ethnicity data on the US Census and other federal forms opened in January 2023. The purpose of this project is to collect and manage public comments in relation to the Office of Management and Budget (OMB) Statistical Policy Directive 15 proposals regarding the addition of a separate Middle Eastern and North African (MENA) checkbox on the US Census and other required federal forms. Public comments posted in February and March 2023 were reviewed to determine whether MENA was mentioned, whether comments supported a MENA checkbox, and whether comments mentioned support for health-related reasons. During the first review of comments, there were 3,062 comments reviewed. Most (71.49%) mentioned adding a MENA checkbox. Of those, 98.86% supported adding a MENA checkbox. Among those, 31.98% mentioned adding a MENA checkbox for health-related reasons. These results have been submitted for publication and are currently under peer review (see citation for pre-print below).Data collection and review of comments is ongoing. As of April 25, 2023, there were 3,355 comments reviewed posted from February 1 though March 6, 2023. Of those, 72.10% mention the addition of the MENA checkbox. Of those, 98.97% supported adding a MENA checkbox. Among those, 31.38% mentioned adding a MENA checkbox for health-related reasons. For this analysis, we also looked at mentions of adding the MENA checkbox for language or linguistic services. Of the comments that supported adding the checkbox, 55.25% of the comments mentioned the need for a MENA checkbox for services to be provided for language and linguistic services.The data provided is a STATA (.dta) file.

ABSTRACTIn March 2024, the Office of Management and Budget updated guidelines for measuring race/ethnicity on federal forms in the United States (US). By March 2029, Middle Eastern and North African (MENA) Americans will have a new category. This population was previously included in the definition for the White race. It is unknown how this change will alter health estimates for other racial/ethnic groups, particularly among the aging population that has become increasingly diverse. Using cognitive difficulty as the health outcome of interest, our objectives were to 1) compare the prevalence of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories and 2) determine whether the odds of cognitive difficulty differs with and without a MENA checkbox. We used 2018-2022 American Community Survey data (ages >=65 years; n=3,351,611). We categorized race/ethnicity based on 2020 US Census categories (White, Black, AI/AN, Asian, NH/OPI, Some Other Race, Two or More Races, Hispanic/Latino) then created a separate category for older adults of MENA descent using questions on ancestry and place of birth to align with 2030 categories. Bivariate statistics and multivariable logistic regression models were calculated. Using 2020 categories, the odds of cognitive difficulty were higher among all racial/ethnic groups compared to Whites. Using 2030 categories, the odds of cognitive difficulty were 1.53 times greater (95%CI=1.43-1.62) among MENA compared to Whites. The odds of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories for other groups were not significantly different. Our results highlight the disparity in cognitive health among MENA and White older adults. Including a separate MENA checkbox on the ACS starting in 2027 is critical to provide baseline data and move forward discussions on health disparities among older adults.

This dataset tracks annual two or more races student percentage from 2019 to 2023 for Mena High School vs. Arkansas and Mena School District

About this dataset

Context

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

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)

• Mena, AR Population Breakdown by Race
• Mena, AR Non-Hispanic Population Breakdown by Race
• Mena, AR 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/.

About this dataset

Context

The dataset tabulates the Mena median household income by race. The dataset can be utilized to understand the racial distribution of Mena income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Mena, AR median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Mena, AR (2021, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Mena median household income by race. You can refer the same here

Covers almost all 99 legislative chambers from 1971 to 2021. Tracks the proportion of legislators who are 1) african-american, 2) Cuban, 3) East Asian, 4) Non-Cuban Latino, 5) MENA, 6) Native American, 7) Pacific Islander (includes Native Hawaiian), 8) South Asian and 9) non-Latino white. Also reports the average chamber and legislative tenure of each group in each chamber-session year. This dataset was computed from individual level legislator data from Carl Klarner’s State Legislator Race dataset.

This dataset tracks annual two or more races student percentage from 2021 to 2023 for Louise Durham Elem. School vs. Arkansas and Mena School District

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Mena. 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

• White: In Mena, the median household income for the households where the householder is White increased by $13,709(35.82%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $38,272 in 2013 and $51,981 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 Mena.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are 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 Mena median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Mena Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Mena, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Mena.

Key observations

Among the Hispanic population in Mena, regardless of the race, the largest group is of Mexican origin, with a population of 182 (100% of the total 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.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Mena
• Population: The population of the specific origin for Hispanic or Latino population in the Mena is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Mena total Hispanic or Latino 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 Mena Population by Race & Ethnicity. You can refer the same here

In 2023, the racial group with the lowest representation working for Deloitte were Native Hawaiians and other Pacific Islanders. The majority of employees working for Deloitte in 2023 were white. With social pressure continuing to grow on some of the world’s largest companies to publish diversity and inclusion reports for each fiscal year, Deloitte has continued to be relatively transparent with its company findings. In fiscal year 2022, Deloitte had a total professional workforce of over ****** employees in the United States, with roughly sixty percent of those coming from a white racial background. This fell to just over ** percent for fiscal year 2022, whereas the share of Black employees increased by *** percent in this period.

Deloitte’s professional workforce

Deloitte is the largest accounting and consulting firm in the world, with both the highest revenue of any of the Big Four, as well as the largest professional workforce. Deloitte has attempted to broaden its understanding of its workforce by adding further demographic categories to its United States 2022 diversity survey, including the MENA region appearing for the first time in their annual report.

Global presence, global firm

As well as Deloitte attempting to develop its diversity and inclusion quota within its ever-expanding workforce in the United States, the global presence of the firm has also been increasing steadily for over a decade. Outside of the Americas, where most of the Deloitte workforce are found, the EMEA region has the second highest number of Deloitte employees, with more than ******* working from these territories in fiscal year 2023.

How do White Americans operationalize Whiteness? This paper argues religion, in conjunction with country of origin, alters how self-identified White Americans assign ethnoracial labels to other groups. To test the role of religion on White assignment, this paper uses the case of Muslims and Middle Eastern and North African (MENA) Americans. Although MENA individuals are legally classified as White in the US, they are subjected to racialization and often conflated with Muslims. Using historical analysis of racial prerequisite court cases and a survey experiment, I find country of origin and religion play separate, additive roles in racial assignment decisions, both historically and today. White assignment is constructed of both country of origin and religion. These findings also extend to perceived skin tone. This is important because many of the benefits that come from being White depend on whether others perceive an individual as White. Understanding the constitutive parts of Whiteness compels research to be specific when discussing White people and why some “White” people are excluded.

Results of unadjusted and adjusted logistic regression for depression and anxiety in the Healthy Minds Study sample comparing Arab/Middle Eastern American (MENA) college students to non-MENA white college students.

About this dataset

Context

The dataset presents the median household income across different racial categories in Mena. 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 Mena population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.01% of the total residents in Mena. Notably, the median household income for White households is $51,981. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $51,981.

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

About this dataset

Context

The dataset tabulates the population of Mena by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Mena across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 53.68% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Mena is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Mena 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 Mena Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Mena. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Mena, the median income for all workers aged 15 years and older, regardless of work hours, was $31,600 for males and $23,883 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 24% between the median incomes of males and females in Mena. With women, regardless of work hours, earning 76 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Mena.

- Full-time workers, aged 15 years and older: In Mena, among full-time, year-round workers aged 15 years and older, males earned a median income of $45,893, while females earned $38,350, leading to a 16% gender pay gap among full-time workers. This illustrates that women earn 84 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Mena, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

About this dataset

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 Mena. The dataset can be utilized to gain insights into gender-based income distribution within the Mena population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Mena, among individuals aged 15 years and older with income, there were 2,006 men and 2,044 women in the workforce. Among them, 1,012 men were engaged in full-time, year-round employment, while 861 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 17.59% fell within the income range of under $24,999, while 25.67% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 14.23% of men in full-time roles earned incomes exceeding $100,000, while 2.09% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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