In 2023, followers of the PGA Tour in the United States tended to have higher incomes on average, with only 13 percent of PGA Tour fans identifying as lower income. Meanwhile, nearly a quarter of PGA Tour fans had a higher than average income.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Golf. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Golf. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Golf, where there exist only two delineated age groups, the median household income is $250,001 for householders within the 25 to 44 years age group, compared to $244,500 for the 45 to 64 years age group.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Golf median household income by age. You can refer the same here

In 2025, Jon Rahm was the highest-earning golfer in the world, with an income of around 100 million U.S. dollars. Scottie Scheffler ranked second, earning over 92 million U.S. dollars.

About this dataset

Context

The dataset tabulates the median household income in Golf. It can be utilized to understand the trend in median household income and to analyze the income distribution in Golf by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Golf, IL Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Golf, IL: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Golf, IL
• Golf, IL households by income brackets: family, non-family, and total, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Golf median household income. You can refer the same here

The salaries, wages, commissions and benefits of golf courses and country clubs in Canada amounted to ************ U.S. dollars in 2023. Between 2012 and 2023, the salaries, wages, commissions and benefits rose by ************** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

Motivation

Disc golf is a sport where players throw discs from a teeing area and try to get them into a basket in a few strokes as possible. Similarly to ball golf, players compete with a bag of discs that include drivers, midranges, and putters, and try to achieve a score of par or better every hole. The Disc Golf Pro Tour is the main professional disc golf tour that holds tournaments across the United States and Europe where Disc Golfers from all around the world can compete. The DGPT tracks putting and driving statistics for each player across all of their events and the top 40% of finishers in each event receive cash for their performance.

Data

The DGPT data set contains 97 rows and 25 columns where each row is a disc golfer’s statistics from the first 11 events of 2024 Disc Golf Pro Tour season. Each row includes a players average scoring, throwing, and putting statistics, as well as cumulative and average placement and earning statistics. This data set include each player who finished above the cash line at least 1 tournament in the first 11 events of the DGPT season. The columns are as follows:

• player player name
• birdie_avg the average number of birdies from an 18 hole round
• bogey_avg the average number of bogeys from an 18 hole round
• PKD the percentage of shots a player has ‘parked’ (within 10 ft of the basket)
• C1R the percent of shots throw within ‘Circle 1’(0-33ft) in regulation
• C2R the percent of shots throw within ‘Circle 2’(33-66ft) in regulation
• FWY the percent fairways hit with drives
• SCR the percent of successful ‘scrambles’ the player achieves
• OB/18 the average total out of bounds shots for 18 holes
• C1X the percent of putts made from C1 excluding tap in putts(0-10ft)
• C2P the percent of putts made from C2 (33-66ft)
• tot_SG:TG the total ‘Strokes Gained’ on the rest of the field from the tee to the green
• tot_SG:P the total ‘Strokes Gained’ on the rest of the field putting
• events total events played for the 2024 DGPT season
• rounds total rounds played for the 2024 DGPT season
• wins wins from the 2024 DGPT season
• podiums total podium placements from the 2024 DGPT season
• top_10s total top 10 placements from the 2024 DGPT season
• top_20s total top 20 placements from the 2024 DGPT season
• avg_place average event placement from the 2024 DGPT season
• top_10% percent of events where the player placed in the top 10
• top_20% percent of events where the player placed in the top 20
• total_earnings the players total earnings from the 2024 DGPT season
• total_strokes the total number of shots the player has taken during the DGPT season

Important Disc Golf Terms

Parked(PKD): When a player throws their disc within 10 feet of the basket with a tee shot on par 3s or an approach shot on par 4s and 5s. A score of eagle or better also counts as a shot being parked.

Circle 1 in Regulation(C1R): When a player’s disc comes to rest within 10m(33ft) of the basket in the expected amount of shots. This is their tee shot on a par 3, 2nd shot on a par 4, and third shot on a par 5. C1 is defined by a 10m circle around the basket.

Circle 2 in Regulation(C2R): This has the same definition as Circle 1 in Regulation, but Circle 2 extends to within 20m(66ft) of the basket.

Fairways Hit(FWY): This is the percent of holes where the player lands on the fairway with their drive. This includes being inside Circle 1 or 2 on a drive.

Scramble(SCR): A scramble is when a player scores par or better on a hole after missing the fairway or being out-of-bounds. Scramble percentage is the percentage of holes where a player scored par or better after an errant drive.

Circle 1X putting(C1X): The putting percentage of the player from within Circle 1 (10m/66ft), excluding tap in putts within 10ft of the basket.

Circle 2 putting(C2P): The putting percentage of the player from Circle 2 (10m-20m/33ft-66ft).

Strokes Gained Tee to Green(SG:TG): This is the number of strokes by which the player has exceeded the average throwing performance of the field on drives and approaches.

Strokes Gained Putting(SG:P): This is the number of strokes by which the player has exceeded the average putting performance of the field in circle 1 and 2.

Questions

1. What statistics are most strongly correlated with successful performances (total_earnings, wins, avg_place)?
2. If a player were to improve in a specific statistic, how would you expect his scoring to change(average birdies or bogeys)?
3. Does the old golf saying “Drive for show, putt for dough” apply to disc golf? Are wins or total earnings more correlated with putting?

References

Profession Disc Golf Association via. StatMando, 2024, 2024 MPO DGPT Season Stats. https://statmando.com/stats/season-stats-main-dgpt-2024-mpo

Profession Disc Golf Association via. StatMando, 2024, Stats for Majors and Elite Events: 2024 (MPO). https://statmando.com/s...

In 2023, the average revenue of golf driving ranges in Japan amounted to ****** million Japanese yen. Facilities in the Kanto region of Japan had on average the highest annual revenue with ****** million yen, while those situated in the Chugoku and Shikoku regions had on average the lowest annual revenue with **** million yen.

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 Golf. 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 Golf, the median income for all workers aged 15 years and older, regardless of work hours, was $246,250 for males and $29,063 for females.

These income figures highlight a substantial gender-based income gap in Golf. Women, regardless of work hours, earn 12 cents for each dollar earned by men. This significant gender pay gap, approximately 88%, underscores concerning gender-based income inequality in the village of Golf.

- Full-time workers, aged 15 years and older: In Golf, among full-time, year-round workers aged 15 years and older, males earned a median income of $240,750, while females earned $59,375, leading to a 75% gender pay gap among full-time workers. This illustrates that women earn 25 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment 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 Golf, 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 Golf median household income by race. You can refer the same here

The operating revenue of golf courses and country clubs in Canada amounted to ************ U.S. dollars in 2023. Between 2012 and 2023, the operating revenue rose by *********** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

United States Avg Weekly Earnings: LH: Golf Course & Country Club data was reported at 512.530 USD in May 2018. This records a decrease from the previous number of 545.160 USD for Apr 2018. United States Avg Weekly Earnings: LH: Golf Course & Country Club data is updated monthly, averaging 449.900 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 573.800 USD in Feb 2018 and a record low of 385.530 USD in Jun 2006. United States Avg Weekly Earnings: LH: Golf Course & Country Club data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

In the fiscal year 2023, Heiwa Corporation's average revenue from customers amounted to approximately *** thousand Japanese yen. This was the company's highest average revenue in the surveyed period.

Golf Pressure Putt Trainer Market Outlook

According to our latest research, the Global Golf Pressure Putt Trainer market size was valued at $140 million in 2024 and is projected to reach $260 million by 2033, expanding at a CAGR of 7.1% during 2024–2033. One of the major factors propelling the growth of this market globally is the increasing popularity of golf as both a professional sport and a recreational activity, leading to a surge in demand for innovative training aids that enhance putting performance under pressure. As golfers at all skill levels seek to improve their game, the need for effective, technologically advanced training solutions is becoming more pronounced, driving robust expansion in the Golf Pressure Putt Trainer market.

Regional Outlook

North America currently holds the largest share in the Golf Pressure Putt Trainer market, accounting for over 38% of the global market value in 2024. This dominance is primarily attributed to the region’s mature golf industry, a high concentration of golf courses, and a strong culture of golf training and recreational play. The presence of leading golf academies, professional tournaments, and a tech-savvy consumer base further accelerates the adoption of advanced training equipment such as pressure putt trainers. Additionally, favorable policies supporting sports infrastructure and the integration of technology in sports training have cemented North America’s leadership in this market segment. The established distribution networks and the prevalence of specialty sporting goods stores also ensure widespread product availability and consumer access.

The Asia Pacific region is witnessing the fastest growth in the Golf Pressure Putt Trainer market, with a projected CAGR of 9.2% from 2024 to 2033. This rapid expansion is driven by rising disposable incomes, increased awareness of golf as a desirable sport, and substantial investments in golf infrastructure across countries like China, Japan, South Korea, and Australia. The proliferation of golf academies and training centers, coupled with growing participation in amateur and professional tournaments, is fueling demand for innovative training aids. Moreover, the region’s younger population is increasingly adopting smart and electronic pressure putt trainers, reflecting a shift toward technology-driven sports solutions. Strategic partnerships and marketing initiatives by global brands are further accelerating market penetration in Asia Pacific.

In emerging economies such as those in Latin America and the Middle East & Africa, the Golf Pressure Putt Trainer market is still in its nascent stages. Adoption rates are hampered by limited golf infrastructure, lower consumer awareness, and higher product costs relative to average income levels. However, localized demand is gradually rising due to government initiatives aimed at promoting sports tourism and the establishment of new golf courses and training facilities. Policy reforms and international collaborations are beginning to address some of the challenges, but market growth remains contingent on overcoming barriers related to affordability, accessibility, and cultural acceptance of golf as a mainstream sport.

Report Scope

Attributes	Details
Report Title	Golf Pressure Putt Trainer Market Research Report 2033
By Product Type	Manual Pressure Putt Trainers, Electronic Pressure Putt Trainers, Smart Pressure Putt Trainers
By Application	Professional Golf Training, Amateur Golf Training, Golf Academies, Others
By Distribution Channel	Online Stores, Sporting Goods Stores, Specialty Stores, Others
By End User	Individual, Commercial, Institutional
Regions Covered	Nort

This dataset tracks annual average revenue per student from 1992 to 2023 for Golf Education Service District 67

At ** million U.S. dollars, the Players Championship had a higher prize fund than any of the Majors in 2024, with winner Scottie Scheffler earning *** million U.S. dollars. Meanwhile, the Masters Tournament had an overall prize fund of ** million U.S. dollars. How many people watch the U.S. Open? In 2024, the final round of the U.S. Open had the second-highest average U.S. TV audience out of the Majors, drawing *** million viewers. However, this marked a slight decrease on the previous year. Meanwhile, 2024 U.S. Open champion Bryson DeChambeau earned *** million U.S. dollars in prize money, while runner-up Rory McIlroy received over *** million U.S. dollars. How big is the golf industry in the U.S.? In 2023, the market size of the U.S. golf course and country club industry increased to over **** billion U.S. dollars, showing a slight rise from the previous year. Additionally, total wholesale sales of golf equipment in the U.S. exceeded *** billion U.S. dollars that year, with golf clubs making up the largest share.

About this dataset

Context

The dataset illustrates the median household income in Golf, 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 Golf decreased by $67,867 (21.35%), 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 5 years and declined for 8 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 Golf median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the Golf household income by gender. The dataset can be utilized to understand the gender-based income distribution of Golf income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Golf, FL annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Golf, FL annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Golf income distribution by gender. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Golf. 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 Golf population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 97.54% of the total residents in Golf. Notably, the median household income for White households is $250,001. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $250,001.

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

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Golf, FL, 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 40,122, while the mean income for the highest quintile (20% of households with the highest income) is 1,209,903. This indicates that the top earners earn 30 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 1,629,196, which is 134.66% higher compared to the highest quintile, and 4060.61% 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 Golf median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the Golf median household income by race. The dataset can be utilized to understand the racial distribution of Golf income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Golf, FL median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Golf, FL (2021, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Golf median household income by race. You can refer the same here

Michael Jordan is the undisputed leader when it comes to the highest paid athletes in history. The basketball legend and former Chicago Bulls star was estimated to have earned a staggering 4.15 billion U.S. dollars throughout his career, thanks to his on-court accomplishments, endorsements, and ownership of the Charlotte Hornets. Jordan's enduring popularity and iconic status have cemented his place as one of the greatest athletes of all time. Golfers earning big bucks on and off the course Interestingly, the three of the next six athletes on the list of highest paid athletes of all time are all golfers. Arnold Palmer, Jack Nicklaus, and Tiger Woods all earned a significant amount of money during their careers. These golfing greats managed to secure lucrative endorsement deals with major brands and also enjoyed success on the golf course, with multiple major championships to their names. Cristiano Ronaldo leads the way for soccer players Soccer can be considered one of the most popular sports in the world and the highest soccer player in the ranking of highest paid athletes is Cristiano Ronaldo. The Portuguese superstar was in third place on the list, with estimated lifetime earnings of over 2.2 billion U.S. dollars. Ronaldo's on-field achievements, combined with his large numbers of social media followers make him one of the most recognizable and highest-paid athletes of all time. Gender pay gap in sport In terms of female athletes, Serena Williams was the highest placed athlete on the list, coming in at 40th place, with lifetime earnings of 660 million U.S. dollars. Williams is widely regarded as one of the greatest tennis players of all time and won an impressive 23 Grand Slam titles during her career. She has also been a vocal advocate for women's rights and equal pay in sports, paving the way for future generations of female athletes to succeed and prosper. Serena Williams' relatively low rank on the list of highest paid athletes of all time is indicative of the gender pay gap that exists in sports. Despite being one of the most successful and dominant tennis players in history, Williams earned significantly less than many of her male counterparts. For example, Roger Federer, who won fewer Grand Slam titles than Williams, ranked ninth on the list, having earned ovwe 1.50 billion U.S. dollars throughout his career. This disparity in earnings is not unique to tennis, as it is a pervasive issue in sports across the board. Female athletes are often paid less than male athletes for performing the same job, even when they achieve comparable levels of success and generate similar levels of revenue. This gender pay gap within sports can be attributed to a variety of factors, including differences in media coverage, sponsorships, and endorsement deals.