This statistic shows the leading bachelor's degrees with the highest mid-career salary in the U.S. in the academic year 2020/21. In 2020/21, petroleum engineering was ranked first with the mid-career salary of 182,000 U.S. dollars.
As of 2023, the median wage for employees in healthcare support occupations was about 36,140 U.S. dollars. The occupational group with the highest annual median wage was management occupations. Mean wages for the same occupational groups can be accessed here.
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Unlock valuable salary insights with our comprehensive Salary Dataset, designed for businesses, recruiters, and job seekers to analyze compensation trends, workforce planning, and market competitiveness.
Dataset Features
Job Listings & Salaries: Access structured salary data from top job platforms, including job titles, company names, locations, salary ranges, and compensation types. Employer & Industry Insights: Extract company-specific salary trends, industry benchmarks, and hiring patterns. Geographic Pay Disparities: Compare salaries across different regions, cities, and countries to identify location-based compensation trends. Job Market Trends: Monitor salary fluctuations, demand for specific roles, and hiring trends over time.
Customizable Subsets for Specific Needs Our Salary Dataset is fully customizable, allowing you to filter data based on job titles, industries, locations, experience levels, and salary ranges. Whether you need broad market insights or focused data for recruitment strategy, we tailor the dataset to your needs.
Popular Use Cases
Workforce Planning & Talent Acquisition: Optimize hiring strategies by analyzing salary benchmarks and compensation trends. Market Research & Competitive Intelligence: Compare salaries across industries and competitors to stay ahead in talent acquisition. Career Decision-Making: Help job seekers evaluate salary expectations and identify high-paying opportunities. AI & Predictive Analytics: Use structured salary data to train AI models for job market forecasting and compensation analysis. Geographic Expansion & Business Strategy: Assess salary variations across regions to plan business expansions and remote workforce strategies.
Whether you're optimizing recruitment, analyzing salary trends, or making data-driven career decisions, our Salary Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.
Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, gender, and age group.
In 2023, many of the highest paying jobs were those in the medical field. The mean annual pay for psychiatrists was at 256,930 U.S. dollars in the United States. The highest paying occupation was pediatric surgeon, with a mean annual wage of 449,320 U.S. dollars.
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Detailed labour market outcomes by educational characteristics, including detailed occupation, hours and weeks worked and employment income.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Dataset Overview The dataset consists of 26,000 job listings, extracted from a Taiwanese job search platform, focusing on software-related careers. Each listing is detailed with various attributes, providing a comprehensive view of the job market in this sector. Here's a breakdown of the dataset columns:
職缺類別 (Job Category) 職位類別 (Position Category) 職位 (Position) 縣市 (City/County) 地區 (District/Area) 供需人數 (應徵人數) (Number of Applicants) 公司名稱 (Company Name) 職缺名稱 (Job Title) 工作內容 (Job Description) 職務類別 (Job Type) 工作待遇 (Salary) 工作性質 (Nature of Work) 上班地點 (Work Location) 管理責任 (Management Responsibility) 上班時段 (Working Hours) 需求人數 (Number of Positions) 工作經歷 (Work Experience) 學歷要求 (Educational Requirements) 科系要求 (Departmental Requirements) 擅長工具 (Tools Proficiency) 工作技能 (Job Skills) 其他條件 (Other Conditions) 資本額 (Capital Amount) 員工人數 (Number of Employees) 公司標籤 (Company Tags) Analytical Insights Exploratory Data Analysis Perform exploratory data analysis using libraries like Pandas and NumPy. Examine trends in job categories, salaries, and educational requirements. Analyze the distribution of jobs across different cities and districts. Visualization Create visual representations of the dataset using Python visualization libraries. Plot job distribution across various sectors or locations. Visualize salary ranges and compare them with educational and experience requirements. Practice with SQL or Pandas Queries Utilize the dataset to refine SQL query skills or Pandas data manipulation techniques. Execute queries to extract specific information, such as the most in-demand skills or the companies offering the highest salaries. NLP Analysis and Tasks for Software Jobs Dataset This dataset, encompassing 26,000 job listings from the Taiwanese software industry, is ripe for a variety of Natural Language Processing (NLP) analyses. Below are some recommended NLP tasks and analyses that can be conducted on this dataset.
Text Classification Job Category Prediction: Train a classification model to predict the job category (職缺類別) using job descriptions (工作內容). Salary Range Classification: Classify jobs into different salary brackets based on their descriptions and titles, helping to identify features associated with higher salaries. Sentiment Analysis Company Reputation Analysis: Analyze the sentiment of company tags (公司標籤) to assess the general sentiment or reputation of companies listed in the dataset. Topic Modeling Identifying Key Job Requirements: Apply LDA (Latent Dirichlet Allocation) to job descriptions for uncovering common themes or required skills in the software sector. Named Entity Recognition (NER) Information Extraction: Implement NER to extract specific entities like tools (擅長工具), skills (工作技能), and educational qualifications (學歷要求) from job descriptions. Text Summarization Summarizing Job Descriptions: Develop algorithms for generating concise summaries of job descriptions, enabling quick understanding of key points. Language Modeling Job Description Generation: Use language models to create realistic job descriptions based on input prompts, assisting in job listing creation or understanding industry language trends. Machine Translation (If Applicable) Dataset Translation for Global Accessibility: Translate the dataset content into English or other languages for international accessibility, using machine translation models. Predictive Analysis Predicting Applicant Volume: Use historical data to forecast the number of applicants (供需人數 (應徵人數)) a job listing might attract based on various factors. By leveraging these NLP techniques, insightful findings can be extracted from the dataset, beneficial for both job seekers and employers in the software field. This dataset offers a practical opportunity to apply NLP skills in a real-world setting.
CC0
Original Data Source: Taiwan 104.com jobs search JD
The Title and Salary Listing is a compilation of job titles under the jurisdiction of the Department of Civil Service.
This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html
Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Estimates of paid hours worked, weekly, hourly and annual earnings for the highest paid (90 to 99 percentiles) employee jobs in the UK, by public and private sectors.
http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
The data in this library comes from the National Survey of Recent College Graduates. Included is information about employment numbers, major information, and the earnings of different majors. Many majors were not available before 2010, so their values have been recorded as 0 (note that this may affect the averages shown in the bar charts).
Key | List of... | Comment | Example Value |
---|---|---|---|
Year | Integer | The year that this report was made for. | 1993 |
Demographics.Total | Integer | The estimated number of people awarded degrees in this major during this year. | 1295598 |
Education.Major | String | The name of the major for these graduated students. | "Biological Sciences" |
Salaries.Highest | Float | The highest recorded salary reported for employed people with this degree during this year. | 999999.0 |
Salaries.Lowest | Float | The lowest recorded salary reported for employed people with this degree during this year. | 0.0 |
Salaries.Mean | Float | The average (mean) recorded salary reported for employed people with this degree during this year. | 160585.73 |
Salaries.Median | Float | The median recorded salary reported for employed people with this degree during this year. | 51000.0 |
Salaries.Quantity | Integer | The number of salaries reported for employed people with this degree during this year. | 13432 |
Salaries.Standard Deviation | Float | The standard deviation (which gives the amount of variance) of salaries reported for employed people with this degree during this year. | 297818.25 |
Demographics.Ethnicity.Asians | Integer | The estimated number of people identifying as Asian that were awarded degrees in this major during this year. | 84495 |
Demographics.Ethnicity.Minorities | Integer | The estimated number of people identifying as a minority (e.g., Black, African American, Native American) that were awarded degrees in this major during this year. | 115016 |
Demographics.Ethnicity.Whites | Integer | The estimated number of people identifying as White that were awarded degrees in this major during this year. | 1094775 |
Demographics.Gender.Females | Integer | The estimated number of women awarded degrees in this major during this year. | 551695 |
Demographics.Gender.Males | Integer | The estimated number of women awarded degrees in this major during this year. | 743903 |
Education.Degrees.Bachelors | Integer | The estimated number of bachelor degrees awarded in this for major during this year. | 671374 |
Education.Degrees.Doctorates | Integer | The estimated number of doctoral degrees awarded in this for major during this year. | 90543 |
Education.Degrees.Masters | Integer | The estimated number of Masters awarded in this for major during this year. | 248813 |
Education.Degrees.Professionals | Integer | The estimated number of professional degrees awarded in this for major during this year. | 284869 |
Employment.Employer Type.Business/Industry | Integer | The number of people with a degree in this major during this year who described their Employer Type as "Business/Industry". | 669270 |
Employment.Employer Type.Educational Institution | Integer | The number of people with a degree in this major during this year who described their Employer Type as an "Educational Institution". | 300468 |
Employment.Employer Type.Government | Integer | The number of people with a degree in this major during this year wh... |
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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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
Introducing Job Posting Datasets: Uncover labor market insights!
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Job Posting Datasets Source:
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Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.
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39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Gross weekly and hourly earnings by level of occupation, UK, quarterly, not seasonally adjusted. Labour Force Survey. These are official statistics in development.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.
See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.
In 2024, graduates of Princeton University and Harvard University had an average early career salary of 95,600 U.S. dollars, which was the highest early career salary of any Ivy League university. In comparison, graduates of Brown University had an average early career salary of 88,000 U.S. dollars.
As of the 2023/24 academic year, graduates from the Massachusetts Institute of Technology (MIT) had a starting salary of 110,200 U.S. dollars, and a mid-career salary of 196,900 U.S. dollars. Top universities in the United States One of the top universities in the United States, Harvey Mudd College, is located in Claremont, California. Not only do graduates earn a high salaries after graduation, they also pay the most. In the academic year of 2020-2021, Harvey Mudd College was one of the most expensive school by total annual cost. The best university in the United States in 2021 belonged to the University of California, Berkeley. The Ivy League The Ivy League is a group of eight private universities in the Northeastern United States. It is not only a collegiate athletic conference, but also a group of highly respected academic institutions. They are usually regarded as the best eight universities in the United States and the world. They are extremely selective with their admissions process. However, these universities are extremely expensive to attend. Despite the high price tag, students who graduate from Princeton University have the highest early career salary out of all Ivy League attendees in 2021. This is compared to the overall expected starting salaries of recent college graduates across the United States, which was less than 35,000 U.S. dollars.
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This data is subject to change at any time due to personnel actions that are consistent with the City's approved Pay Plan. Employee compensation is limited to the following pay: regular wages, over time, productivity enhancement, shift differential, standby, incentive pay, allowances, and leave payouts. The data is a snapshot as of December 31st of the reported year.
Job descriptions, pay ranges, and benefits information is available at: https://www.phoenix.gov/hr/job-descriptions
Total compensation information is available at: https://www.phoenix.gov/hr/current-jobs/total-compensation-information
Employee terms by unit is available at: https://www.phoenix.gov/hr/employee-terms-by-unit
PredictLeads Job Openings Data provides high-quality hiring insights sourced directly from company websites - not job boards. Using advanced web scraping technology, our dataset offers real-time access to job trends, salaries, and skills demand, making it a valuable resource for B2B sales, recruiting, investment analysis, and competitive intelligence.
Key Features:
✅214M+ Job Postings Tracked – Data sourced from 92 Million company websites worldwide. ✅7,1M+ Active Job Openings – Updated in real-time to reflect hiring demand. ✅Salary & Compensation Insights – Extract salary ranges, contract types, and job seniority levels. ✅Technology & Skill Tracking – Identify emerging tech trends and industry demands. ✅Company Data Enrichment – Link job postings to employer domains, firmographics, and growth signals. ✅Web Scraping Precision – Directly sourced from employer websites for unmatched accuracy.
Primary Attributes:
Job Metadata:
Salary Data (salary_data)
Occupational Data (onet_data) (object, nullable)
Additional Attributes:
📌 Trusted by enterprises, recruiters, and investors for high-precision job market insights.
PredictLeads Dataset: https://docs.predictleads.com/v3/guide/job_openings_dataset
This statistic shows the leading bachelor's degrees with the highest mid-career salary in the U.S. in the academic year 2020/21. In 2020/21, petroleum engineering was ranked first with the mid-career salary of 182,000 U.S. dollars.