About this dataset

Context

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

Key observations

The percent distribution of Eugene population by race (across all racial categories recognized by the U.S. Census Bureau): 78.86% are white, 1.84% are Black or African American, 0.76% are American Indian and Alaska Native, 3.89% are Asian, 0.36% are Native Hawaiian and other Pacific Islander, 3.77% are some other race and 10.52% 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 Eugene
• Population: The population of the racial category (excluding ethnicity) in the Eugene is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Eugene 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 Eugene Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Lane County, OR (B03002011E041039) from 2009 to 2023 about Lane County, OR; Eugene; OR; non-hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Eugene. 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 Eugene population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 78.86% of the total residents in Eugene. Notably, the median household income for White households is $65,208. Interestingly, despite the White population being the most populous, it is worth noting that Native Hawaiian and Other Pacific Islander households actually reports the highest median household income, with a median income of $93,750. This reveals that, while Whites may be the most numerous in Eugene, Native Hawaiian and Other Pacific Islander 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 Eugene.
• 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 Eugene median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Eugene population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Eugene. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 117,686 (66.58% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Eugene population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Eugene is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Eugene is shown in the following column.

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 Eugene Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Eugene, OR, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 13,271, while the mean income for the highest quintile (20% of households with the highest income) is 246,971. This indicates that the top earners earn 19 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 452,934, which is 183.40% higher compared to the highest quintile, and 3412.96% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Eugene median household income. You can refer the same here

Federal highway and transit statutes require, as a condition for spending federal highway or transit funds in urbanized areas, the designation of MPOs, which have responsibility for planning, programming and coordination of federal highway and transit investments. The federally designated MPOs are made up of large urban MPOs (population areas greater than 200,000): the Portland regional area, the Salem/Keizer area, and the Eugene/Springfield area; and small urban MPOs (population areas between 50,000 - 200,000): the Medford/Rogue Valley area, the Cities of Corvallis/Philomath, the City of Bend, Albany area, Middle Rogue, Longview/Kelso/Rainier and Walla Walla Valley.

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

Key observations

• Employment patterns: Within Eugene, among individuals aged 15 years and older with income, there were 68,192 men and 71,087 women in the workforce. Among them, 29,599 men were engaged in full-time, year-round employment, while 22,779 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8.86% fell within the income range of under $24,999, while 8.41% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 25.10% of men in full-time roles earned incomes exceeding $100,000, while 17.40% 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 Eugene median household income by race. You can refer the same here

The LTR Genie Score of Eugene, OR is 51 and STR Genie Score is 40, indicating a moderate to low investment potential for both long-term and short-term rental properties in this market. The low LTR Rentability and STR Genie Score suggest that the rental market may be challenging for investors, with lower occupancy rates and revenue potential. The 1-Year Price Appreciation Forecast of -1.45% also indicates a potential decline in property values in the near future. In comparison, the LTR Net ROI of 22.76% is higher than the STR Net ROI of 21.43%, suggesting that long-term rental properties may offer better returns in Eugene, OR. However, the LTR Rent Growth Rate of 5.78% indicates a steady but not significant increase in rental prices.Overall, based on the metrics provided, Eugene, OR may not be the most attractive market for real estate investors looking for high rental income or property appreciation. It may be more suitable for investors seeking stable long-term rental returns rather than short-term rental opportunities. Conducting further market research and analysis would be recommended before making any investment decisions in this area.Eugene, OR is a city located in the Pacific Northwest known for its outdoor recreational opportunities, cultural attractions, and proximity to the University of Oregon. The real estate market in Eugene is influenced by factors such as population growth, job opportunities, and the overall economy of the region. Investors should consider these factors along with the specific metrics provided to make informed decisions about investing in the Eugene real estate market.