This dataset contains detailed NBA player statistics for both the regular season and playoffs, including per-game performance metrics and advanced analytics such as Player Efficiency Rating (PER). The dataset is useful for basketball analytics, machine learning projects, and statistical research on player performance.
Basic Information
Player
: Name of the player Age
: Player's age in the season Team
: Team abbreviation Pos
: Position played (e.g., PG, SG, SF, PF, C) Season Type
: Indicates whether stats are from Regular Season or Playoffs Per-Game Statistics
G
: Games played GS
: Games started MP
: Minutes played per game FG
, FGA
, FG%
: Field goals made, attempted, and percentage 3P
, 3PA
, 3P%
: Three-pointers made, attempted, and percentage 2P
, 2PA
, 2P%
: Two-pointers made, attempted, and percentage FT
, FTA
, FT%
: Free throws made, attempted, and percentage ORB
, DRB
, TRB
: Offensive, defensive, and total rebounds per game AST
: Assists per game STL
: Steals per game BLK
: Blocks per game TOV
: Turnovers per game PF
: Personal fouls per game PTS
: Points per game Advanced Metrics
PER
: Player Efficiency Rating, a metric that measures per-minute performance while adjusting for pace This dataset is ideal for:
✅ Basketball analytics (player comparisons, efficiency analysis)
✅ Machine learning projects (predicting player performance, clustering player roles)
✅ Data visualization (trends in player stats, team comparisons)
In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.
Number and average, median, 10th and 90th percentile salaries by rank and senior administrative responsibilities of full-time academic teaching staff by university.
The NFL salary cap is an agreement between the league and the franchises which limits the sum a team can spend on player salaries in order to maintain the competitive nature of the league. The salary cap for the 2025 NFL season was set at ***** million U.S. dollars per club, breaking the 275 million U.S. dollar mark for the first time.
The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.
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Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.
In 2024, software developers working as senior executives in the United Stated had an average salary of about *** thousand U.S. dollars, making it the highest paying job for software developers in the United States. engineering manager ranked second with *** thousand U.S. dollars.
By Nate Reed [source]
This dataset contains information about Major League Baseball players’ salaries and contracts, sourced from USA Today. It includes information like the player's salary for the current season, total contract value, position they play, number of years their contract is for and average annual salary. This dataset allows you to explore MLB player contracts at a deeper level, examine differences between players' salaries across different positions and teams, identify which teams are paying their players the most per annum or over the duration of full contracts
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
This dataset provides detailed salary and contract information for Major League Baseball players. It contains all the most up-to-date information about each player's contract, including salary, total value, position, years, average annual salary, and team affiliation. With this data you can analyze trends in player salaries and contracts to identify opportunities for maximizing profits.
You can also use this data to compare the relative worth of players at different positions across teams. Use it to research trade value of players - including estimated trade values based on their contracts - as well as provide statistical analysis of the effects that player moves have had on teams' success. Additionally, you can utilize it to build predictive models that use past contracts to predict future salary increases or decreases when negotiating new contracts with existing or prospective players.
Ready to get started? Here are a few tips on how best to utilize this dataset: - Examine the Total Value column first since it is often a key indicator in determining a player's worth; - Look at previous years’ salaries by team for comparision purposes;
- Factor in performance metrics like OPS (on-base plus slugging percentage), ERA (earned run average), WHIP (walks + hits/innings pitched), FIP (fielding independent pitching); - Take into account intangibles such as fan interest/popularity; - Utilize averages across different positions and teams – are certain players way underpaid compared his peers? Conversely are certain overpaid compared his peers? Finding these mismatches could potentially create an arbitrage opportunity if a trade were made.By understanding how successful teams build rosters using Major League Baseball Player Salaries and Contracts datasets you too can be empowered with data driven decisions when investing in your fantasy baseball team or MLB organization!
- Analyzing which teams are spending the most on salary, and determining how that is affecting their performance.
- Comparing positions to see which positions earn more money across teams and leagues.
- Identifying trends in salaries for larger contracts vs smaller ones, to help players and teams determine better negotiating strategies for future signings
If you use this dataset in your research, please credit the original authors. Data Source
Unknown License - Please check the dataset description for more information.
File: salaries.csv | Column name | Description | |:----------------|:-------------------------------------------------------------| | salary | The amount of money a player is paid for a season. (Numeric) | | name | The name of the player. (String) | | total_value | The total value of the player's contract. (Numeric) | | pos | The position the player plays. (String) | | years | The length of the player's contract. (Numeric) | | avg_annual | The average annual salary of the player. (Numeric) | | team | The team the player plays for. (String) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Nate Reed.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Detailed labour market outcomes by educational characteristics, including detailed occupation, hours and weeks worked and employment income.
In October 2024, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 35.46 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.
The NBA and WNBA are the two top leagues for basketball in the United States for men and women, respectively. In the NBA, players took home an average annual salary of over ** million U.S. dollars for the 2024/25 season, with the league's minimum salary set at **** million U.S. dollars that year. In comparison, players in the WNBA received an average annual pay of ******* U.S. dollars in the 2025 season, with the highest-earning players in the WNBA receiving around ******* U.S. dollars annually.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca
Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Feature Articles on Employment and Labour - Salary Statistics of Middle-Level Managerial and Professional Employees
https://data.gov.tw/licensehttps://data.gov.tw/license
The monthly data on regular salaries of employees for each year.
The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Average monthly salary in the regional authorities (KLR) by observations and month
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Graph and download economic data for Unemployment Level All Industries Government Wage & Salary Workers (LNU03028615) from Jun 1976 to Jun 2025 about salaries, workers, 16 years +, wages, household survey, government, unemployment, industry, and USA.
https://data.gov.tw/licensehttps://data.gov.tw/license
Salary statistics for mining employees from 2010 to 2015
This dataset contains detailed NBA player statistics for both the regular season and playoffs, including per-game performance metrics and advanced analytics such as Player Efficiency Rating (PER). The dataset is useful for basketball analytics, machine learning projects, and statistical research on player performance.
Basic Information
Player
: Name of the player Age
: Player's age in the season Team
: Team abbreviation Pos
: Position played (e.g., PG, SG, SF, PF, C) Season Type
: Indicates whether stats are from Regular Season or Playoffs Per-Game Statistics
G
: Games played GS
: Games started MP
: Minutes played per game FG
, FGA
, FG%
: Field goals made, attempted, and percentage 3P
, 3PA
, 3P%
: Three-pointers made, attempted, and percentage 2P
, 2PA
, 2P%
: Two-pointers made, attempted, and percentage FT
, FTA
, FT%
: Free throws made, attempted, and percentage ORB
, DRB
, TRB
: Offensive, defensive, and total rebounds per game AST
: Assists per game STL
: Steals per game BLK
: Blocks per game TOV
: Turnovers per game PF
: Personal fouls per game PTS
: Points per game Advanced Metrics
PER
: Player Efficiency Rating, a metric that measures per-minute performance while adjusting for pace This dataset is ideal for:
✅ Basketball analytics (player comparisons, efficiency analysis)
✅ Machine learning projects (predicting player performance, clustering player roles)
✅ Data visualization (trends in player stats, team comparisons)