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.

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

The university in the United States with the largest endowment market value in 2024 was Harvard University, with an endowment fund value of about 51.98 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.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Sherman, 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 17,413, while the mean income for the highest quintile (20% of households with the highest income) is 191,131. This indicates that the top earners earn 11 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 334,219, which is 174.86% higher compared to the highest quintile, and 1919.36% 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 Sherman median household income. You can refer the same here