About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Rich Valley Township, Minnesota, 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 Rich Valley Township, Minnesota 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 Rich Valley township households based on income levels.

Key observations

• For Family Households: In Rich Valley township, the majority of family households, representing 22.16%, earn $150,000 to $199,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $35,000 to $39,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Rich Valley township, the majority of non-family households, accounting for 20.27%, have income $30,000 to $34,999, 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 0.0%, earn $35,000 to $39,999, 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 Rich Valley Township, Minnesota (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 Rich Valley Township, Minnesota
• 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 Rich Valley Township, Minnesota
• 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 Rich Valley Township, Minnesota

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 Rich Valley township median household income. You can refer the same here

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Rich Valley township: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 52(20.08%) households with a householder aged between 25 and 44 years, 108(41.70%) households with a householder aged between 45 and 64 years, and 99(38.22%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the township of Rich Valley township, showcasing varying income levels among different age demographics.

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:

• 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
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Rich Valley township median household income by age. 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 Rich Valley township. 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 Rich Valley township, the median income for all workers aged 15 years and older, regardless of work hours, was $54,375 for males and $38,750 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 29% between the median incomes of males and females in Rich Valley township. With women, regardless of work hours, earning 71 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetownship of Rich Valley township.

- Full-time workers, aged 15 years and older: In Rich Valley township, among full-time, year-round workers aged 15 years and older, males earned a median income of $71,875, while females earned $56,964, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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 Rich Valley township, 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 Rich Valley township median household income by race. You can refer the same here

A dataset listing the 20 richest cities in Minnesota for 2024, including information on rank, city, county, population, average income, and median income.

A dataset listing Minnesota counties by population for 2024.

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

Key observations

• Employment patterns: Within Rich Valley township, among individuals aged 15 years and older with income, there were 272 men and 222 women in the workforce. Among them, 148 men were engaged in full-time, year-round employment, while 95 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.68% fell within the income range of under $24,999, while 2.11% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 37.84% of men in full-time roles earned incomes exceeding $100,000, while 10.53% 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 Rich Valley township median household income by race. You can refer the same here

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.

The Corps Water Management System (CWMS) includes four interrelated models to assist with water management for the basin:

• GeoHMS (Geospatial Hydrologic Modeling Extension)
• ResSIM (Reservoir System Simulation)
• RAS (River Analysis System)
• FIA (Flood Impact Analysis)

The Minnesota River is approximately 332 miles long, and it drains a basin of about 14,751 square miles in size. The Minnesota River flows over a mantle of glacial drift from an elevation of 960 feet in the headwaters near the South Dakota border, to the confluence with the Mississippi River at an elevation of about 690 feet at Minneapolis/St. Paul. The Minnesota River is a remnant from melting glaciers after the last ice age. Originally the valley drained north; however, glacial deposits and refreezing of the area over time formed a southern outlet into what is now the Minnesota and Mississippi Rivers. Several diversion channels exist within the Minnesota River Valley and some of them are utilized in the Lac Qui Parle project as the Chippewa Diversion and Watson Sag (Minnesota NRCS November 2014).

The soil across the basin is rich in nutrients, so that 90% of land use is used for some form of agricultural production. The fertile, black, fine-grained soils and landscape are conducive to agriculture. The principal crops are wheat, barley, soybeans, sunflowers, corn, and hay. Pasture, forest, open water, and wetlands comprise most of the remaining land area.

After a long winter, temperatures typically rise above freezing across the southern basin, resulting in snowmelt and eventual runoff into the river system. As the swollen river flows north, it encounters less slope, greater amounts of snow and ice due to a colder air mass, and delayed seasonal melting. Ice jams commonly result from these factors and in turn, impedes flow and holds back excessive water. Since the river channel itself is shallow and no more than a few hundred yards at its widest point, water quickly spreads out across the surrounding landscape. The severity of spring flooding depends on several hydrometerological factors, including: freeze/melt cycle; early spring rains or late spring snow storms; snow pack depth and liquid water equivalency; frost depth; soil moisture content; river baseflows and ice conditions; and liquid precipitation from the previous year.

In 2023, the around 11.1 percent of the population was living below the national poverty line in the United States. Poverty in the United StatesAs shown in the statistic above, the poverty rate among all people living in the United States has shifted within the last 15 years. The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines poverty as follows: “Absolute poverty measures poverty in relation to the amount of money necessary to meet basic needs such as food, clothing, and shelter. The concept of absolute poverty is not concerned with broader quality of life issues or with the overall level of inequality in society.” The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the most people living in poverty in 2022, with about 25 percent of the population earning an income below the poverty line. In comparison to that, only 8.6 percent of the White (non-Hispanic) population and the Asian population were living below the poverty line in 2022. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2022. Child poverty peaked in 1993 with 22.7 percent of children living in poverty in that year in the United States. Between 2000 and 2010, the child poverty rate in the United States was increasing every year; however,this rate was down to 15 percent in 2022. The number of people living in poverty in the U.S. varies from state to state. Compared to California, where about 4.44 million people were living in poverty in 2022, the state of Minnesota had about 429,000 people living in poverty.