100+ datasets found
  1. NBA player stats & salaries 2023

    • kaggle.com
    Updated Feb 22, 2025
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    albarpambagio (2025). NBA player stats & salaries 2023 [Dataset]. https://www.kaggle.com/datasets/albarpambagio/nba-player-stats-and-salaries-2014-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 22, 2025
    Dataset provided by
    Kaggle
    Authors
    albarpambagio
    Description

    NBA Player Statistics Dataset (Regular Season & Playoffs)

    Overview

    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.

    Dataset Features

    • 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

    Usage

    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)

  2. U.S. wage and salary accruals 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

  3. Number and salaries of full-time teaching staff at Canadian universities

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Apr 29, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Number and salaries of full-time teaching staff at Canadian universities [Dataset]. http://doi.org/10.25318/3710010801-eng
    Explore at:
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and average, median, 10th and 90th percentile salaries by rank and senior administrative responsibilities of full-time academic teaching staff by university.

  4. s

    National Football League salary cap 2011-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). National Football League salary cap 2011-2025 [Dataset]. https://www.statista.com/statistics/1011083/nfl-salary-cap/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statista
    Area covered
    United States
    Description

    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.

  5. d

    Data from: Occupational Employment and Wage Statistics

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 6, 2024
    + more versions
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    data.ny.gov (2024). Occupational Employment and Wage Statistics [Dataset]. https://catalog.data.gov/dataset/occupational-employment-statistics
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    data.ny.gov
    Description

    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.

  6. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  7. Average software developer wages in the U.S. in 2024, by role

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Average software developer wages in the U.S. in 2024, by role [Dataset]. https://www.statista.com/statistics/794094/united-states-developer-survey-average-salaries/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2024 - Jun 20, 2024
    Area covered
    United States
    Description

    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.

  8. MLB Players Salaries And Performance

    • kaggle.com
    Updated Dec 4, 2022
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    The Devastator (2022). MLB Players Salaries And Performance [Dataset]. https://www.kaggle.com/datasets/thedevastator/maximizing-profits-with-mlb-player-salaries-and
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2022
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    Description

    MLB Players Salaries And Performance

    Analyzing Salaries, Contract Length, and Team Performance

    By Nate Reed [source]

    About this dataset

    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

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    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!

    Research Ideas

    • 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

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    Unknown License - Please check the dataset description for more information.

    Columns

    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) |

    Acknowledgements

    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.

  9. G

    Employment income statistics by occupation, major field of study and highest...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Employment income statistics by occupation, major field of study and highest level of education: Canada [Dataset]. https://open.canada.ca/data/dataset/b1ab3b82-61ac-49f7-a00a-6b3a64ee7354
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Detailed labour market outcomes by educational characteristics, including detailed occupation, hours and weeks worked and employment income.

  10. U.S. monthly average hourly earnings nonfarm payroll employees 2022-2024

    • statista.com
    Updated Jul 3, 2024
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    Abigail Tierney (2024). U.S. monthly average hourly earnings nonfarm payroll employees 2022-2024 [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
    Explore at:
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    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.

  11. NBA & WNBA annual salaries in 2024/25

    • statista.com
    Updated May 23, 2025
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    Statista (2025). NBA & WNBA annual salaries in 2024/25 [Dataset]. https://www.statista.com/statistics/1120680/annual-salaries-nba-wnba/
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America
    Description

    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.

  12. Wages

    • open.canada.ca
    • ouvert.canada.ca
    csv
    Updated Dec 12, 2024
    + more versions
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    Employment and Social Development Canada (2024). Wages [Dataset]. https://open.canada.ca/data/en/dataset/adad580f-76b0-4502-bd05-20c125de9116
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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

  13. Employee wages by industry, monthly, unadjusted for seasonality

    • www150.statcan.gc.ca
    • datasets.ai
    • +4more
    Updated Jun 6, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, monthly, unadjusted for seasonality [Dataset]. http://doi.org/10.25318/1410006301-eng
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  14. T

    China Average Yearly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). China Average Yearly Wages [Dataset]. https://tradingeconomics.com/china/wages
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    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.

  15. Feature Articles on Employment and Labour - Salary Statistics of...

    • data.gov.hk
    Updated Jul 25, 2024
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    data.gov.hk (2024). Feature Articles on Employment and Labour - Salary Statistics of Middle-Level Managerial and Professional Employees [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-fa100072
    Explore at:
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    data.gov.hk
    Description

    Feature Articles on Employment and Labour - Salary Statistics of Middle-Level Managerial and Professional Employees

  16. d

    The monthly ordinary wages of each employee in recent years.

    • data.gov.tw
    xml
    Updated Jun 11, 2025
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2025). The monthly ordinary wages of each employee in recent years. [Dataset]. https://data.gov.tw/en/datasets/9663
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The monthly data on regular salaries of employees for each year.

  17. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
    + more versions
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    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    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.

  18. e

    Average monthly salary in the regional authorities (KLR). Month 1999M01 -...

    • data.europa.eu
    json
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    Statistikmyndigheten SCB - Statistiska centralbyrån, Average monthly salary in the regional authorities (KLR). Month 1999M01 - 2025M03 [Dataset]. https://data.europa.eu/data/datasets/https-statistikdatabasen-scb-se-dataset-tab1973?locale=en
    Explore at:
    jsonAvailable download formats
    Dataset authored and provided by
    Statistikmyndigheten SCB - Statistiska centralbyrån
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Average monthly salary in the regional authorities (KLR) by observations and month

  19. F

    Unemployment Level All Industries Government Wage & Salary Workers

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Unemployment Level All Industries Government Wage & Salary Workers [Dataset]. https://fred.stlouisfed.org/series/LNU03028615
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  20. d

    Mining industry employee salary statistics table

    • data.gov.tw
    csv
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    Mining industry employee salary statistics table [Dataset]. https://data.gov.tw/en/datasets/8698
    Explore at:
    csvAvailable download formats
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Salary statistics for mining employees from 2010 to 2015

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albarpambagio (2025). NBA player stats & salaries 2023 [Dataset]. https://www.kaggle.com/datasets/albarpambagio/nba-player-stats-and-salaries-2014-2023
Organization logo

NBA player stats & salaries 2023

Comprehensive per-game and advanced stats, including Player Efficiency Rating (P

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Feb 22, 2025
Dataset provided by
Kaggle
Authors
albarpambagio
Description

NBA Player Statistics Dataset (Regular Season & Playoffs)

Overview

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.

Dataset Features

  • 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

Usage

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)

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