In 2024, the expected median starting salary for MBA graduates worldwide was ******* U.S. dollars. On the other hand, master's graduates in data analytics, business analytics, finance, and management were expected to have a median salary of ****** U.S. dollars.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Network systems and data communications analysts occupations: 16 years and over (LEU0254531000A) from 2000 to 2010 about analysts, communication, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

As of 2022, the median annual salary of a data analyst in the Chinese data and artificial intelligence industry reached 37 thousand yuan. According to the source, junior-level employees in the technology industry gained the most from changing their jobs. In contrast, from the middle-level upwards, the salary increases are much lower after taking a position at a new employer.

Analysis of ‘Average, median, modal annual salary, part time and full time by period. MYH (API identifier: 10882)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-452-10882 on 08 January 2022.

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Table of INEBase Average, median, modal annual salary, part time and full time by period. National. Women and Men in Spain

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Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Financial analysts occupations: 16 years and over: Men (LEU0254636200A) from 2000 to 2019 about analysts, second quartile, occupation, full-time, males, salaries, workers, earnings, financial, 16 years +, wages, median, employment, and USA.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Women was 1518.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Women reached a record high of 1553.00000 in January of 2022 and a record low of 1144.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Women - last updated from the United States Federal Reserve on June of 2025.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Information security analysts occupations: 16 years and over was 2424.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Information security analysts occupations: 16 years and over reached a record high of 2424.00000 in January of 2024 and a record low of 1389.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Information security analysts occupations: 16 years and over - last updated from the United States Federal Reserve on July of 2025.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women was 1481.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women reached a record high of 1665.00000 in January of 2023 and a record low of 810.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women - last updated from the United States Federal Reserve on June of 2025.

Analysis of ‘Earnings of females and males employees.’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsearningcsv on 28 January 2022.

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Context

The Bureau of Labor Statistics reported that, in 2013, female full-time workers had median weekly earnings of $706, compared to men's median weekly earnings of $860. Women aged 35 years and older earned 74% to 80% of the earnings of their male counterparts. https://en.wikipedia.org › wiki › Gender_pay_gap_in_the_United_States

Content

What is the gender pay gap 2019? Study after study has identified a persistent gender pay gap. A PayScale report found that women still make only $0.79 for each dollar men make in 2019. A Bureau of Labor Statistics (BLS) analysis discovered that in 2018, median weekly earnings for female full-time wage and salary workers was 81% of men's earnings.Jul 11, 2019 https://www.forbes.com/sites/shaharziv/2019/07/11/gender-pay-gap-bigger-than-you-thnk/#36ca335f7d8a.

Acknowledgements

Linked through data.gov.au for discoverability and availability. This dataset was originally found on data.gov.au https://data.gov.au/data/dataset/a5776c56-bdde-4643-a3fd-dcc2775d7d7a ***Photo by Samantha Sophia on Unsplash.

Inspiration

Great females scientists: Mileva Maric', Frances "Poppy" Northcut, Hedy Lamarr, Marie Sklodowska Curie and Ada Lovelace. If you don't know them yet, just search on Google.

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Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Management analysts occupations: 16 years and over: Women (LEU0254742300A) from 2000 to 2024 about analysts, management, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over was 1738.00000 $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over reached a record high of 1738.00000 in January of 2022 and a record low of 841.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over - last updated from the United States Federal Reserve on June of 2025.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Men was 1894.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Men reached a record high of 1894.00000 in January of 2023 and a record low of 1410.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Men - last updated from the United States Federal Reserve on June of 2025.

Analysis of ‘Median Household Income’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/6f103bab-d370-4cdd-8f30-4b9a75c6c37c on 26 January 2022.

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These Socioeconomic Indicators are from the American Community Survey, 2014 5-year estimates. They are at Zip Code level for Oakland, Macomb and Wayne Counties.

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The FDOT GIS Roads with Median Types feature class provides spatial information on Florida Median Types distinguishing between lawn, paved, painted, and curbed medians. It also notes where a fence, guardrail, or barrier wall divides the two sides of a divided road. A median is defined as a barrier or other physical separation between two lanes of traffic traveling in opposite directions, which can either be raised, painted, or paved. This information is required for all functionally classified roadways On or Off the SHS. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/28/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/median_type.zip

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer systems analysts occupations: 16 years and over: Men (LEU0257860800A) from 2011 to 2024 about analysts, second quartile, computers, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Analysis of ‘Strategic Measure_Median City Property Tax as a Percentage of Median Family Income’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/af0ff717-7630-4748-8f59-927ed8077e12 on 26 January 2022.

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This dataset provides information about the median City property tax as a percentage of median family income (SD23 measure GTW.A.1). The Travis County Appraisal District (TCAD) property value file, the annually adopted City property tax rate, and median income data from the U.S. Department of Housing and Urban Development (HUD) all contribute to the data supporting this measure.

This data can be used to help understand trends of affordability and the cost of city services over time in Austin.

View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/7kz2-s6y2

--- Original source retains full ownership of the source dataset ---

Economic Expectation Survey: Salaries Increase: This Year data was reported at 8.414 % in Jun 2022. This records an increase from the previous number of 7.325 % for Mar 2022. Economic Expectation Survey: Salaries Increase: This Year data is updated quarterly, averaging 5.861 % from Mar 2000 (Median) to Jun 2022, with 90 observations. The data reached an all-time high of 9.740 % in Jun 2000 and a record low of 3.061 % in Mar 2021. Economic Expectation Survey: Salaries Increase: This Year data remains active status in CEIC and is reported by Bank of the Republic of Colombia. The data is categorized under Global Database’s Colombia – Table CO.S007: Monthly Expectation of Economic Analysts.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Budget analysts occupations: 16 years and over (LEU0254529200A) from 2000 to 2022 about analysts, second quartile, budget, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

The FDOT GIS Roads with Median Width feature class provides spatial information on Florida Median width in feet. A median is defined as a barrier or other physical separation between two lanes of traffic traveling in opposite directions, which can either be raised, painted, or paved. This information is required for all functionally classified roadways On or Off the SHS. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/14/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/median_width.zip

Analysis of ‘Maryland Median Household Income By Year With Margin Of Error: 2010-2019’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3e6bc9c3-7e33-4bfd-84fc-b650dbe004be on 27 January 2022.

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The data consist of the median household income by the year in Maryland and the margin of error of the median income from 2010-2019. MOE= Margin of Error for the 90% confidence interval. Source from the U.S. Census Bureau, Small Area Income and Poverty Estimates, May 2020.

--- Original source retains full ownership of the source dataset ---