About this dataset

Context

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

Key observations

Of the Non-Hispanic population in East Duke, the largest racial group is White alone with a population of 336 (93.33% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/east-duke-ok-population-by-race-and-ethnicity.jpeg" alt="East Duke Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 East Duke
• Population: The population of the racial category (for Non-Hispanic) in the East Duke is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Duke 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 East Duke Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of East Duke population by race (across all racial categories recognized by the U.S. Census Bureau): 88.52% are white, 0.60% are Black or African American, 0.60% are American Indian and Alaska Native, 3.63% are some other race and 6.65% 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 East Duke
• Population: The population of the racial category (excluding ethnicity) in the East Duke is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Duke 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 East Duke Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual two or more races student percentage from 2016 to 2023 for Duke High School vs. Oklahoma and Duke School District

Abstract

The Race Relations Survey was a one-off survey conducted by Gallup in November 2018.

Methodology

The Race Relations Survey was a one-off survey that leveraged the same methodology as the Gallup Poll Social Series (GPSS). The Race Relations Survey duplicates many topics from the Gallup Poll Social Series' discontinued June survey, Minority Rights and Relations.

Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly). Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

Usage

For more information about included variables and terms of use, please see

Supporting Files.

About this dataset

Context

The dataset presents the median household income across different racial categories in East Duke. 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 East Duke population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 88.52% of the total residents in East Duke. Notably, the median household income for White households is $58,875. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $120,625. This reveals that, while Whites may be the most numerous in East Duke, Two or More Races households experience greater economic prosperity in terms of median household income.

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

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Duke Ellington School Of The Arts vs. District Of Columbia and District Of Columbia Public Schools

The five Terrestrial Gradient sites were established in the early 1990s as part of the 1990 Coweeta LTER Renewal. The original terrestrial gradient sites were 20 x 40-m. In the late 1990s the plots were expanded to 80 x 80-m and later (around 1998) they were slope-corrected by Clark's lab using survey equipment. Much of the Coweeta LTER “core” datasets have been collected from the gradient plots. This study is one of the long-term studies that are ongoing with defined sampling intervals. The tree demography and census study consists of trees census every two years and seeds collected ~5 x each year.

About this dataset

Context

The dataset tabulates the East Duke Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of East Duke, 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 East Duke.

Key observations

Among the Hispanic population in East Duke, regardless of the race, the largest group is of Mexican origin, with a population of 23 (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 East Duke
• Population: The population of the specific origin for Hispanic or Latino population in the East Duke is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of East Duke 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 East Duke Population by Race & Ethnicity. You can refer the same here

Abstract

The Gallup Poll Social Series (GPSS) is a set of public opinion surveys designed to monitor U.S. adults' views on numerous social, economic, and political topics. The topics are arranged thematically across 12 surveys. Gallup administers these surveys during the same month every year and includes the survey's core trend questions in the same order each administration. Using this consistent standard allows for unprecedented analysis of changes in trend data that are not susceptible to question order bias and seasonal effects.

Introduced in 2001, the GPSS is the primary method Gallup uses to update several hundred long-term Gallup trend questions, some dating back to the 1930s. The series also includes many newer questions added to address contemporary issues as they emerge.

The dataset currently includes responses from up to and including 2025.

Methodology

Gallup conducts one GPSS survey per month, with each devoted to a different topic, as follows:

January: Mood of the Nation

February: World Affairs

March: Environment

April: Economy and Finance

May: Values and Beliefs

June: Minority Rights and Relations (discontinued after 2016)

July: Consumption Habits

August: Work and Education

September: Governance

October: Crime

November: Health

December: Lifestyle (conducted 2001-2008)

The core questions of the surveys differ each month, but several questions assessing the state of the nation are standard on all 12: presidential job approval, congressional job approval, satisfaction with the direction of the U.S., assessment of the U.S. job market, and an open-ended measurement of the nation's "most important problem." Additionally, Gallup includes extensive demographic questions on each survey, allowing for in-depth analysis of trends.

Interviews are conducted with U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older for each GPSS survey. Samples for the June Minority Rights and Relations survey are significantly larger because Gallup includes oversamples of Blacks and Hispanics to allow for reliable estimates among these key subgroups.

Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

Usage

The year appended to each table name represents when the data was last updated. For example, January: Mood of the Nation - 2025 has survey data collected up to and including 2025.

For more information about what survey questions were asked over time, see the Supporting Files.

This dataset tracks annual two or more races student percentage from 2019 to 2023 for Paul Duke Stem High School vs. Georgia and Gwinnett County School District

In cooperative breeding systems, inclusive fitness theory predicts that non-breeding helpers more closely related to the breeders should be more willing to provide costly alloparental care, and thus have more impact on breeder fitness. In the red-cockaded woodpecker (Dryobates borealis), most helpers are the breeders’ earlier offspring, but helpers do vary within groups in both relatedness to the breeders (some even being unrelated) and sex, and it can be difficult to parse their separate impacts on breeder fitness. Moreover, most support for inclusive fitness theory has been positive associations between relatedness and behavior, rather than actual fitness consequences. We used functional linear models to evaluate the per capita effects of helpers of different relatedness on eight breeder fitness components measured for up to 41 years at three sites. In support of inclusive fitness theory, helpers more related to the breeding pair made greater contributions to six fitness components. H..., We used long-term demographic monitoring data collected over 28 to 41 consecutive years at three sites: the Sandhills region in south-central North Carolina (1980–2020), Marine Corps Base Camp Lejeune on the central coast of North Carolina (1986–2020), and Eglin Air Force Base in the western panhandle of Florida (1993–2020). Monitoring methods are described in detail by Walters et al. (1988) (see also Appendix A for more details on monitoring). See Walters and Garcia (2016) for how individuals are assigned breeder and helper status., You will need both R and RStudio to use the dataset (and corresponding code). , Manuscript citation: Kerr, William, and Walters (2023) Inclusive fitness may explain some but not all benefits derived from social behavior in a cooperatively breeding bird. American Naturalist.

Archive citation: Kerr, Natalie; Morris, William; Walters, Jeffrey (Forthcoming 2023). Demographic data on the red-cockaded woodpecker [Dataset]. Dryad. https://doi.org/10.5061/dryad.3bk3j9kqs

Affiliated authors: Natalie Z. Kerr, William F. Morris, and Jeffrey R. Walters

Corresponding author details:

• Email: natalie.kerr@duke.edu,
• Location: Department of Biology, Duke University, Durham, NC 27705

To run the code file ("Kerr-et-al_FLMs.rmd"), you will need to install R and RStudio, as well as install the packages (using install.packages()) listed below and at the beginning of the RMarkdown file.

List of packages and their versions

• mgcv (Version 1.8.42)
• bbmle (Version 1.0.25)

Note that we used these versions of these two packages for Kerr et al. 2023.

The RMarkdown file ...

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.45% 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 East Duke is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of East Duke 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 East Duke Population by Race & Ethnicity. You can refer the same here

All demographic rates were measured for two long-lived, non-clonal tundra plants (Silene acaulis and Polygonum viviparum) in multiple populations from 36 to 69 degrees N latitude, every year since populations were begun from 1995 to 2008 (depending on population) until the present. Soil temperature was also measured over the entire year in all populations since 2008.

The "https://sites.duke.edu/nsrl/" Target="_blank">National Survey of Religious Leaders (NSRL) is a survey of a nationally representative sample of 1,600 clergy from across the religious spectrum. It surveyed religious leaders who work in congregations, including full-time and part-time ministerial staff, assistant and specialist ministerial staff (such as youth ministers, religious education directors, and others), and head clergy. Conducted in 2019-2020, the NSRL contains a wealth of information about congregations' religious leaders. There are questions about respondents' jobs and careers, including job satisfaction; religious beliefs and practices; views about and practices related to mental health; attitudes and practices related to end-of-life issues; community involvement; political attitudes and practices; engagement with the larger religious world; knowledge of and attitudes about science, and how science informs their work; primary information sources; mental and physical health; and demographic characteristics such as gender, race/ethnicity, age, education, birthplace, marital status and income. The NSRL constitutes a significant new resource for deepening our knowledge about religious leaders in 21st century America.

ARDA Note: This file was updated on 3/26/24 at the request of the Principal Investigator. The RACE variable was updated.

We are attaching satellite transmitters to loggerheads, green and Kemp's ridley sea turtles to examine interaction between the turtles and commercial fisheries in North Carolina. Turtles are commonly caught in fishing gear in the sounds of North Carolina, particularly in the fall months when both turtles and flounder are migrating to the ocean. Gill nets, in particular, have been implicated in large mortality events and as a result this type of fishing gear has been restricted to certain parts of Pamlico Sound. In addition, the fall flounder gill net fishery has been closed prematurely in the past few years due to observed mortalities of turtles. We are studying interactions between turtles and gill nets by tracking the movements of turtles in and around Pamlico Sound during the fall flounder season and comparing the distribution of turtles with that of gill nets. In addition, we hope to gain valuable life history information by following the migration patters of individuals. We work closely with researchers from the Southeast Fisheries Science Center, NOAA Fisheries, in this program. This research is funded by the North Carolina Sea Grant's Fisheries Resource Grant program.

CURRENTNESS REFERENCE: ground condition

SPATIAL REFERENCE INFORMATION - GEODETIC MODEL Horizontal Datum Name: D_WGS_1984 Ellipsoid Name: WGS_1984 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257224

This dataset tracks annual two or more races student percentage from 2015 to 2023 for Red Duke Elementary School vs. Texas and Alvin Independent 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 East Duke. 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 East Duke, the median household income for the households where the householder is White increased by $16,999(40.59%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $41,876 in 2013 and $58,875 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 East Duke.
• 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 East Duke median household income by race. You can refer the same here

This dataset tracks annual two or more races student percentage from 2011 to 2018 for Ellington (Duke) High (continuation School) vs. California and Los Angeles Unified School District

This dataset tracks annual two or more races student percentage from 2012 to 2014 for Bobby Duke Middle School vs. California and Coachella Valley Unified School District

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

Key observations

• Employment patterns: Within East Duke, among individuals aged 15 years and older with income, there were 122 men and 108 women in the workforce. Among them, 73 men were engaged in full-time, year-round employment, while 47 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.11% fell within the income range of under $24,999, while 4.26% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 6.85% of men in full-time roles earned incomes exceeding $100,000, while 8.51% 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 East Duke median household income by race. You can refer the same here