It’s hard to get real-world information about what jobs pay, ALISON GREEN published a survey in 2021 on AskAManager.org, a US-centric-ish but does allow for a range of country inputs. The survey is designed to examine payment of different industries based on experience years, field experience years among other variables such as gender, race and education level.

The dataset is “live” and constantly growing, our dataset was downloaded in 23/2/2023.

Data Dictionary

The original dataset includes the following fields: * Age: How old are you? * Industry: What industry do you work in? * Job title: What is your job title? * Extra_job_title: If your job title needs additional context, please clarify here * Annual_salary: "What is your annual salary? If you are part-time or hourly, please enter an annualized equivalent -- what you would earn if you worked the job 40 hours a week, 52 weeks a year.)
* Annual_bonus: How much additional monetary compensation do you get, if any (for example, bonuses or overtime in an average year) only include monetary compensation here, not the value of benefits. * Currency: Please indicate your salary currency. * Other_currency: 'If "Other," please indicate the currency here. * Extra_income_info: "If your income needs additional context, please provide it here. * Work_country: "What country do you work in? * Work_state_US: "If you're in the U.S., what state do you work in? * Work_city: "What city do you work in? * Overall_experience_years: "How many years of professional work experience do you have overall? * Field_experience_years: "How many years of professional work experience do you have in your field?" * Education_level: "What is your highest level of education completed? * Gender: "What is your gender? * Race:"What is your race? (Choose all that apply.)

This biennial survey provides information on wages and salaries for full- and part-time employees by occupation, region, and industry. The survey helps Albertans make career and education choices and helps organizations determine pay scales.

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 weekly earnings at industry level including manufacturing, construction and energy, Great Britain, monthly, non-seasonally adjusted. Monthly Wages and Salaries Survey.

This dataset consists of an anonymous survey on Jobs and salaries related to data science positions including details like work life balance, happiness on both quality of work and salary their preferred programming language and the industry they are working for

The statistic gives the results of the annual salary survey among logistics and supply chain professionals, asking respondents about their annual salaries including bonuses and other compensations in 2016 and 2017, and broken down by job function. In that period, the average salary for a supply chain management employee amounted to about ******* U.S. dollars, down from ******* U.S. dollars in the previous year.

Graph and download economic data for Unemployment Level - Information Industry, Private Wage and Salary Workers (LNU03032237) from Jan 2000 to Sep 2025 about information, salaries, workers, private industries, 16 years +, wages, household survey, private, unemployment, industry, and USA.

Popular US workplace blog AskAManager (askamanager.org) sponsors an annual salary survey of blog readers. The 2023 survey collected data about industry, job function, title, annual salary, additional compensation, race, gender, remote/on-site requirements, education, location, and years' experience.

The dataset here features responses collected between April 11 and 28, 2023, and has some 16,000 responses. This version of the data set has employed several feature engineering techniques to group and cleanse data, convert the currency to USD values as of April 1, 2023, and add clarity to location data. In particular, US respondents were paired when possible with a metropolitan area.

Graph and download economic data for Employment Level - Nonagriculture, Private Wage and Salary Workers, Other Industries (LNS12035078) from Jan 1999 to Sep 2025 about nonagriculture, salaries, workers, 16 years +, wages, household survey, private, employment, industry, and USA.

The statistic displays the results of the annual salary survey among logistics and supply chain professionals, asking respondents about their annual salaries including bonuses and other compensations from 2018 to 2020, broken down by work experience in the field. During the 2020 survey, the average salary for an employee with over 30 years of experience in the logistics and supply chain management industries amounted to about 136,195 U.S. dollars, down from 144,530 U.S. dollars in the previous year.

Graph and download economic data for Employment Level - Agriculture and Related Industries, Wage and Salary Workers (LNS12032184) from Jan 1948 to Sep 2025 about agriculture, salaries, workers, 16 years +, wages, household survey, employment, industry, and USA.

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.

Average Monthly Nominal Salary Index: Mfg: Fabricated Metal Products, Machinery & Equipment data was reported at 616.220 1995=100 in 2023. This records a decrease from the previous number of 667.690 1995=100 for 2022. Average Monthly Nominal Salary Index: Mfg: Fabricated Metal Products, Machinery & Equipment data is updated yearly, averaging 241.645 1995=100 from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 667.690 1995=100 in 2022 and a record low of 109.240 1995=100 in 1996. Average Monthly Nominal Salary Index: Mfg: Fabricated Metal Products, Machinery & Equipment data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G010: Household Survey: Average Monthly Nominal Salary Index: By Industry.

This dataset provides a comprehensive collection of salary information from various industries and regions across the globe. Sourced from reputable employment websites and surveys, it includes details on job titles, salaries, job sectors, geographic locations, and more. Analyze this data to gain insights into job market trends, compare compensation across different professions, and make informed decisions about your career or hiring strategies. The dataset is cleaned and preprocessed for ease of analysis and is available under an open license for research and data analysis purposes.

Education Level: 0 : High School 1 : Bachelor Degree 2 : Master Degree 3 : Phd

Currency : US Dollar

Senior : It shows that is this employee has a senior position or no.(Binary)

Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

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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Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

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About Dataset

Context

Analytics refers to the methodical examination and calculation of data or statistics. Its purpose is to uncover, interpret, and convey meaningful patterns found within the data. Additionally, analytics involves utilizing these data patterns to make informed decisions. It proves valuable in domains abundant with recorded information, employing a combination of statistics, computer programming, and operations research to measure performance.

Businesses can leverage analytics to describe, predict, and enhance their overall performance. Various branches of analytics encompass predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Due to the extensive computational requirements involved (particularly with big data), analytics algorithms and software utilize state-of-the-art methods from computer science, statistics, and mathematics.

Data Dictionary

Content

This Dataset contains information of 22700+ Software Professionals with different features like their Salaries (₹), Name of the Company, Company Rating, Number of times Salaries Reported, and Location of the Company.

Extra Features Added: 1. Employment Status 2. Job Roles

Acknowledgements

This Dataset is created from https://www.glassdoor.co.in/. If you want to learn more, you can visit the Website.

Roles Included:

Android Developer Android Developer - Intern Android Developer - Contractor Android Developer Contractor Senior Android Developer Android Software Engineer Android Engineer Android Applications Developer - Intern Android Applications Developer Android App Developer - Intern Senior Android Developer and Team Lead Android Tech Lead Product Engineer (Android) Software Engineer - Android Android Software Developer Android Software Developer - Intern Senior Android Developer Contractor Junior Android Developer - Intern Junior Android Developer Android Applications Developer - Contractor Android App Developer Lead Android Developer Android Engineer - Intern Sr. Android Developer Senior Android Engineer Senior Software Engineer - Android Android - Intern Android Android & Flutter Developer - Intern Associate Android Developer Senior Android Applications Developer Android Developer Trainee Sr Android developer Android Trainee Android Trainee - Intern Trainee Android Developer Android Lead Android Lead Developer Android Development - Intern Android Development Android Team Lead Senior, Android Developer Lead Android Engineer Tech Lead- Android Applications Developer Senior Android Software Developer Full Stack Android Developer Android Framework Developer Android Architect Android & Flutter Developer Senior Software Engineer, Android Android App Development Sr Android Engineer Android Team Leader Android Technical Lead SDE2(Android) Web Developer/Android Developer - Intern Android Applications Develpoers Android Platform Developer - Intern Android Test Engineer Senior Engineer - Android Android Framework Engineer Game Developer ( Android, Windows) Android Testing Senior Software Engineer (Android/Mobility) Ace - Android Development Software Developer (Android) - Intern Android Mobile Developer Android and Flutt...

According to a 2022/23 salary survey report on supply chain industry annual salaries in Australia, Australian supply chain IT CIOs earned a minimum of *** thousand Australian dollars per year. By comparison, the maximum salary of a software developer position was around *** thousand Australian dollars.

Explore a detailed dataset of employees' compensation by type and economic activity in Saudi Arabia. This dataset covers a wide range of industries, from manufacturing to healthcare, providing valuable insights for economic analysis and decision-making.

Other manufacturing, Remediation activities and other waste management services, Industry of paper and its products, Health and social work, Extraction of crude petroleum and natural gas, Social work activities without accommodation, Manufacture of food prod. and beverages, Manufacture of textiles, Financial intermediation, Motion picture, video and tv programme production, sound recording, Scientific research and development, Hotels and restaurants, Other personal service activities, Retail trade, except of motor vehicles and motorcycles, Information service activities, Manufacturing of apparel, preparing and tanning fur, Food and beverage service activities, Manufacture of food products, Manufacture of leather and related products, Repair and installation of machinery and equipment, Programming and broadcasting activities, Other mining and quarrying, Education, Manufacture of office, accounting and computing machinery, Creative, arts and entertainment activities, Insurance and pension funding, except compulsory social security, Construction, Sports activities and amusement and recreation activities, Printing and reproduction of recorded media, Travel agency, tour operator...

Saudi Arabia Follow data.kapsarc.org for timely data to advance energy economics research..Data from the Annual Economic Establishment Survey.Do not include establishments operating in the governmental and external sectors. Including establishments operating in the private and public sector and not for profit.

Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data was reported at 211.000 Person th in Feb 2025. This records an increase from the previous number of 106.000 Person th for Jan 2025. Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data is updated monthly, averaging 160.500 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 312.000 Person th in Nov 2022 and a record low of 76.000 Person th in Dec 2024. Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G025: Labour Force Survey: Employment: by Industry, Occupation and Class.

Average weekly earnings at sector level including manufacturing, finance and services, Great Britain, monthly, non-seasonally adjusted. Monthly Wages and Salaries Survey.