100+ datasets found
  1. WageIndicator salary survey face-to-face 2006-2013 merged data

    • zenodo.org
    • explore.openaire.eu
    • +1more
    pdf
    Updated Jul 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kea Tijdens; Kea Tijdens (2024). WageIndicator salary survey face-to-face 2006-2013 merged data [Dataset]. http://doi.org/10.5281/zenodo.5931804
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kea Tijdens; Kea Tijdens
    License

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

    Description

    The dataset includes the merged data of face-to-face salary surveys in 28 countries, undertaken between 2006 and 2013. The total number of observations is 59,138 individuals in the labour force. Almost all countries are developing countries in Africa, Asia, and Latin America.

  2. Ask A Manager 2023 Salary Survey

    • kaggle.com
    Updated Feb 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lexie DeGrandchamp (2024). Ask A Manager 2023 Salary Survey [Dataset]. https://www.kaggle.com/datasets/lexiedegrandchamp/ask-a-manager-2023-salary-survey
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Lexie DeGrandchamp
    Description

    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.

  3. a

    Alberta wage and salary survey : survey overview

    • open.alberta.ca
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alberta wage and salary survey : survey overview [Dataset]. https://open.alberta.ca/dataset/alberta-wage-and-salary-survey-survey-overview
    Explore at:
    Area covered
    Alberta
    Description

    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.

  4. F

    Unemployment Rate - Professional and Business Services Industry, Private...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Unemployment Rate - Professional and Business Services Industry, Private Wage and Salary Workers [Dataset]. https://fred.stlouisfed.org/series/LNU04032239
    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 Rate - Professional and Business Services Industry, Private Wage and Salary Workers (LNU04032239) from Jan 2000 to Jun 2025 about professional, salaries, workers, private industries, 16 years +, business, wages, household survey, services, private, unemployment, industry, rate, and USA.

  5. S

    Salary Benchmarking Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Salary Benchmarking Software Report [Dataset]. https://www.datainsightsmarket.com/reports/salary-benchmarking-software-528741
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global salary benchmarking software market is experiencing robust growth, driven by increasing demand for accurate and efficient compensation management solutions across diverse industries. The market's expansion is fueled by several factors, including the need for competitive compensation strategies to attract and retain top talent in a tight labor market, the growing adoption of cloud-based solutions for enhanced accessibility and scalability, and the increasing regulatory scrutiny around pay equity and transparency. Companies are increasingly leveraging these software solutions to analyze salary data, identify pay gaps, and ensure fair compensation practices, leading to improved employee morale and reduced turnover. The market is segmented by deployment type (cloud-based and on-premise), organizational size (small, medium, and large enterprises), and industry vertical. While precise figures are unavailable, a reasonable estimate based on industry analysis and considering a relatively high CAGR (let's assume a CAGR of 15% for illustration purposes), suggests a 2025 market size of approximately $2 billion, with projections indicating continued substantial growth through 2033. This projection incorporates the expected expansion of the user base and increasing feature complexity within the software. The competitive landscape is characterized by a blend of established players and emerging startups. Established players like Workday and Carta Total Comp benefit from strong brand recognition and extensive client networks. Newer entrants, including MarketPay and OpenComp, are disrupting the market with innovative features and agile approaches. Market consolidation through mergers and acquisitions is likely, given the ongoing technological advancements and the increasing demand for integrated HR solutions. However, challenges persist. High implementation costs, integration complexities with existing HR systems, and concerns about data security can hinder market penetration. The future success of vendors will hinge on their ability to offer user-friendly interfaces, robust data analytics capabilities, and cost-effective solutions tailored to the specific needs of different customer segments. Furthermore, continuous innovation to incorporate AI-driven features for predictive analysis and compensation optimization will become crucial for gaining a competitive edge.

  6. Average salary in the logistics industry by job function 2017

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Average salary in the logistics industry by job function 2017 [Dataset]. https://www.statista.com/statistics/699183/logistics-market-average-salary-by-job-function/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

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

    • statista.com
    Updated Jul 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  8. F

    Employment Level - Nonagriculture, Private Industries Wage and Salary...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Employment Level - Nonagriculture, Private Industries Wage and Salary Workers [Dataset]. https://fred.stlouisfed.org/series/LNS12032189
    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 Employment Level - Nonagriculture, Private Industries Wage and Salary Workers (LNS12032189) from Jan 1948 to Jun 2025 about nonagriculture, salaries, workers, private industries, 16 years +, wages, household survey, private, employment, industry, and USA.

  9. Median monthly salary of employees in the creative industry in Sweden 2017,...

    • statista.com
    Updated Jul 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Median monthly salary of employees in the creative industry in Sweden 2017, by area [Dataset]. https://www.statista.com/statistics/569228/median-monthly-salary-of-employees-in-the-creative-industry-in-sweden-by-working-area/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sweden
    Description

    This statistic shows the median monthly salary of employees in the creative industry in Sweden in 2017, by working area. In 2017, the median monthly salary for research amounted to ****** Swedish kronor.

  10. Occupational Employment and Wage Statistics (OES)

    • catalog.data.gov
    Updated May 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bureau of Labor Statistics (2022). Occupational Employment and Wage Statistics (OES) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oes
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

  11. EARN03: Average weekly earnings by industry

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Jul 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2025). EARN03: Average weekly earnings by industry [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/averageweeklyearningsbyindustryearn03
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

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

  12. U.S. highest paying occupations 2023

    • statista.com
    Updated Jul 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Abigail Tierney (2024). U.S. highest paying occupations 2023 [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 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.

  13. Yearly salary in supply chain logistics Australia 2023, by role

    • statista.com
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Yearly salary in supply chain logistics Australia 2023, by role [Dataset]. https://www.statista.com/statistics/1190799/australia-annual-income-in-supply-chain-logistics-by-role/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    According to the 2022/23 salary survey report on supply chain industry annual salaries in Australia, logistics directors earned between *** and *** thousand Australian dollars per year. By comparison, a transport planner in supply chain logistics earned a maximum salary of around 100 thousand Australian dollars.

  14. d

    Job Postings Dataset for Labour Market Research and Insights

    • datarade.ai
    Updated Sep 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Oxylabs (2023). Job Postings Dataset for Labour Market Research and Insights [Dataset]. https://datarade.ai/data-products/job-postings-dataset-for-labour-market-research-and-insights-oxylabs
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Oxylabs
    Area covered
    Anguilla, Tajikistan, Zambia, Kyrgyzstan, Jamaica, British Indian Ocean Territory, Togo, Switzerland, Luxembourg, Sierra Leone
    Description

    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.

    Choose your preferred dataset delivery options for convenience:

    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.

    Why Choose Oxylabs Job Posting Datasets:

    1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

    2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

    3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

    4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

    Pricing Options:

    Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

    Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

    Experience a seamless journey with Oxylabs:

    • Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
    • Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
    • Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
    • Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

    Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

  15. Logistics/supply chain management - salary by work experience 2018-2020

    • statista.com
    • ai-chatbox.pro
    Updated Apr 19, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Logistics/supply chain management - salary by work experience 2018-2020 [Dataset]. https://www.statista.com/statistics/699401/logistics-supply-chain-management-average-salary-by-experience/
    Explore at:
    Dataset updated
    Apr 19, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  16. Bolivia Average Monthly Nominal Salary Index: Mfg: Fabricated Metal...

    • ceicdata.com
    Updated Mar 22, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Bolivia Average Monthly Nominal Salary Index: Mfg: Fabricated Metal Products, Machinery & Equipment [Dataset]. https://www.ceicdata.com/en/bolivia/household-survey-average-monthly-nominal-salary-index-by-industry
    Explore at:
    Dataset updated
    Mar 22, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Bolivia
    Variables measured
    Wage/Earnings
    Description

    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.

  17. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
    Explore at:
    Dataset updated
    Jan 24, 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.

  18. Average salaries in selected industries in Poland 2022-2024

    • statista.com
    Updated Jul 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average salaries in selected industries in Poland 2022-2024 [Dataset]. https://www.statista.com/statistics/1361675/poland-average-salaries-in-selected-industries/
    Explore at:
    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    The average salary in the surveyed companies in Poland was over ****** zloty in 2024, an eight percent increase compared to the previous year. The highest salaries were paid in the IT sector. The average salary in this sector amounted to over ****** zloty per month. The lowest in administration—***** zloty.

  19. Philippines Employment: Wage & Salary Workers: With Pay in Own Family...

    • ceicdata.com
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business [Dataset]. https://www.ceicdata.com/en/philippines/labour-force-survey-employment-by-industry-occupation-and-class/employment-wage--salary-workers-with-pay-in-own-family-business
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Philippines
    Variables measured
    Employment
    Description

    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.

  20. d

    Data from: Occupational Employment and Wage Statistics

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.ny.gov (2024). Occupational Employment and Wage Statistics [Dataset]. https://catalog.data.gov/dataset/occupational-employment-statistics
    Explore at:
    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.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Kea Tijdens; Kea Tijdens (2024). WageIndicator salary survey face-to-face 2006-2013 merged data [Dataset]. http://doi.org/10.5281/zenodo.5931804
Organization logo

WageIndicator salary survey face-to-face 2006-2013 merged data

Explore at:
pdfAvailable download formats
Dataset updated
Jul 17, 2024
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Kea Tijdens; Kea Tijdens
License

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

Description

The dataset includes the merged data of face-to-face salary surveys in 28 countries, undertaken between 2006 and 2013. The total number of observations is 59,138 individuals in the labour force. Almost all countries are developing countries in Africa, Asia, and Latin America.

Search
Clear search
Close search
Google apps
Main menu