About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Texas County, OK, 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 11,941, while the mean income for the highest quintile (20% of households with the highest income) is 137,990. This indicates that the top earners earn 12 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 192,486, which is 139.49% higher compared to the highest quintile, and 1611.98% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 Texas County median household income. You can refer the same here

Graph and download economic data for Estimate of Median Household Income for Loving County, TX (MHITX48301A052NCEN) from 1989 to 2023 about Loving County, TX; households; TX; median; income; and USA.

In 2022, the Midland metro area in Texas had the highest per capita personal income in the United States. This was followed by the San Jose-Sunnyvale-Santa Clara metropolitan area in California.

On August 31, 2017 The New York Times published an article titled “Storm With „No Boundaries‟ Took Aim at Rich and Poor Alike” (Turkewitz and Burch, 2017). The storm they are referring to is Hurricane Harvey, which dropped up to 60 inches of rain in a matter of 4 days in some locations of the Houston metropolitan area (Blake and Zelinsky, 2018). The objective of this study is inspired by the article mentioned beforehand and aims to explore the socioeconomic trends of the areas that were flooded in the city of Houston as a result of Hurricane Harvey.

The university in the United States with the largest endowment market value in 2023 was Harvard University, with an endowment fund value of about 49.5 billion U.S. dollars. U.S. higher education Colleges and universities in the United States rank highly among the world’s most prestigious institutions of higher education. Many universities are particularly well known for their strong research capabilities and their connections to many Nobel Prize winning laureates.The U.S. university system is largely decentralized. Except for service academies and staff colleges, the federal government does not directly regulate universities; public universities are administered solely by the individual states. Besides the state administered public universities, there are many private universities in the United States, most are non-profit institutions, similar to the public universities, but there are also a number of institutions that rely on profit (Walden University in Minnesota, for example).In general, tuition fees are required to be paid by students at American universities. Public universities generally charge lower tuition rates to in-state students, than to out-of-state students. Private universities are often much more expensive than public ones because they do not receive funding from state governments.American students are often required to take out student loans to supplement scholarships and grants provided by diverse sources to be able to pay for tuition. Student debt has become a major issue in the United States in recent years, with many Americans unsure if they can even afford to pay off their student loans in the future.

Major League Baseball (MLB) teams are owned by a variety of individuals and groups. The Toronto Blue Jays are owned by Rogers Communications, led by CEO Edward S. Rogers III, with a net worth of 11.5 billion U.S. dollars. Individual owners of MLB franchises include wealthy individuals such as Mark Attanasio (Milwaukee Brewers), John Henry (Boston Red Sox), and Arte Moreno (Los Angeles Angels), who also have other business interests outside of sports ownership. There are also multiple ownership groups that own MLB franchises, made up of a mix of businesspeople, investors, and wealthy individuals who come together specifically to purchase and operate the teams. In rare occurrences, franchises have also been owned by the league, such as the Montreal Expos and the Texas Rangers in the past. The ownership process often includes the approval of the other MLB owners and requires significant financial resources.

Steven A. Cohen Steven A. Cohen's purchase of the New York Mets for 2.4 billion U.S. dollars in 2020 constituted a significant event in the sport. The purchase made him the wealthiest franchise owner in the league, with a personal wealth of around 16 billion U.S. dollars. Cohen stated that he planned to invest in the team to help bring it success on the field, as well as in its business operations. One of his main goals with the purchase was to renovate Citi Field, the team's stadium, and to invest in the team's player development facilities. He also announced plans to enhance the fan experience through technology and fan engagement, aiming to bring the team closer to its fan base. Billionaire sports club ownership The growing trend of wealthy individuals buying sports teams can have both positive and negative impacts. On one hand, wealthy owners bring significant financial resources to teams, which can improve the team's performance and overall competitiveness. However, there are also concerns such as concentration of wealth and power among a small number of teams and owners, a less competitive league, and owners prioritizing financial returns over competitive balance. Additionally, the high price of ownership can make it difficult for new ownership groups to enter the market and lead to lack of diversity among ownership group of sports teams. This can also lead to high-priced tickets and merchandise, making it harder for low-income fans to support their team.

In 2021, Midland metropolitan area in Texas had a per capita real GDP of about 227,765 chained U.S. dollars, the highest of any metro area in the United States. The San-Jose-Sunnyvale-Santa Clara and San Francisco-Oakland-Berkely metro areas in California also had high real GDP per capita. The Seattle-Tacoma-Bellevue metro area in Washington state and the Trenton-Princeton metro area in New Jersey round out the top five. Only the top 100 metro areas by GDP per capita are shown here.

In 2020, California had the highest number of millionaire households in the U.S., with 1.14 million households having one million or more in investible assets. This is nearly double the 650,216 millionaire households in Texas, the state with the second-highest number.

New York was the state with the greatest gap between rich and poor, with a Gini coefficient score of 0.52 in 2023. Although not a state, District of Columbia was among the highest Gini coefficients in the United States that year.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Corinth, TX, 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 36,701, while the mean income for the highest quintile (20% of households with the highest income) is 295,686. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 463,761, which is 156.84% higher compared to the highest quintile, and 1263.62% 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 Corinth median household income. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Leander, TX, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Leander, TX reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Leander households based on income levels.

Key observations

• For Family Households: In Leander, the majority of family households, representing 32.37%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.1%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Leander, the majority of non-family households, accounting for 13.55%, have income $60,000 to $74,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 1.16%, earn $15,000 to $19,999, representing a smaller, yet notable, portion of non-family households in the community.

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:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Leander, TX (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Leander, TX
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Leander, TX
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Leander, TX

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 Leander median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Corinth, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Corinth decreased by $2,938 (2.41%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous 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 Corinth median household income. You can refer the same here