Graph and download economic data for Unemployment Rate: College Graduates: Advanced Degree: Master's Degree and Higher, 25 years and over, Men (CGAD25OM) from Dec 2014 to May 2025 about master's degree, males, 25 years +, tertiary schooling, education, household survey, unemployment, rate, and USA.

In the academic year of 2022, it is expected that 551,460 female and 331,530 male students will earn a Master’s degree in the United States. These figures are a significant increase from the academic year of 1950, when 16,980 female students and 41,220 male students earned a Master’s degree.

What is a Master’s degree?

A Master’s degree is an academic degree granted by universities after finishing a Bachelor’s degree. Master’s degrees focus in on a specific field and are more specialized than a Bachelor’s. A typical Master’s program is about two years long, with the final semester focusing on the thesis. Master’s degree programs are usually harder to get into than Bachelor’s degree programs, due to the rigor of the program. Because these programs are so competitive, those with a Master’s degree are typically paid more than those with a Bachelor’s degree.

Master’s degrees in the United States

The number of master’s degrees granted in the United States has steadily increased since the 1970s and is expected to continue to increase. In 2021, the Master’s degree program with the worst job prospects in the United States by mid-career median pay was counseling, while the program with the best job prospects was a physician's assistant.

In 2024, about 87,957 master's degrees were awarded in South Korea, showing a slight increase from the previous year. The overall number of graduates receiving master's degrees has increased over the past few years.

The dataset contains Academic-year-wise historically compiled data on the total number of Indian students who enrolled for Undergraduate, Graduate, Non-Degree and Optional Practical Training (OPT) courses in the United States of America (USA).

Graph and download economic data for Civilian Labor Force - College Graduates - Master's Degree, 16 years and over, Women (CGMDLW16O) from Jan 2000 to May 2025 about master's degree, females, tertiary schooling, civilian, 16 years +, education, labor force, labor, household survey, and USA.

Graph and download economic data for Unemployment Rate: College Graduates: Advanced Degree: Master's Degree and Higher, 25 to 34 years (CGAD2534) from Dec 2014 to May 2025 about master's degree, 25 to 34 years, tertiary schooling, education, household survey, unemployment, rate, and USA.

The dataset contains Academic-year-, Programme- and Course-wise historically compiled data on the Number of International Students who have enrolled in the United States of America (U.S.A) for pursuing various types of Graduate, Under-graduate and OPT courses, along with percentage number of students pursing on each specific type of education

Laos Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data was reported at 0.879 % in 2022. This records an increase from the previous number of 0.458 % for 2017. Laos Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data is updated yearly, averaging 0.879 % from Dec 2010 (Median) to 2022, with 3 observations. The data reached an all-time high of 5.828 % in 2010 and a record low of 0.458 % in 2017. Laos Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;

Nepal NP: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data was reported at 1.799 % in 2011. Nepal NP: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data is updated yearly, averaging 1.799 % from Dec 2011 (Median) to 2011, with 1 observations. Nepal NP: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.; ; UNESCO Institute for Statistics; ;

Since 2007, the total number of college graduates has increased year by year until 2022. The number of master's degree holders increased from 94,000 to 144,000 during this period.

The Master Data Management Market report segments the industry into By Component (Software, Service), By Deployment Model (On-premise, Cloud), By Enterprise Size (Large Enterprises, Small and Medium Enterprises), By Application (Supplier, Product, Customer, Other Applications), By Industry Vertical (IT and Telecommunication, BFSI, Healthcare, Government, Retail, Manufacturing, Education, and more), and By Geography.

Malaysia Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data was reported at 1.593 % in 2016. Malaysia Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data is updated yearly, averaging 1.593 % from Dec 2016 (Median) to 2016, with 1 observations. Malaysia Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: % Cumulative: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); ;

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master in business administration business statistics data analytics in the U.S.

Peru PE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data was reported at 1.625 % in 2015. This records a decrease from the previous number of 1.792 % for 2014. Peru PE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data is updated yearly, averaging 1.709 % from Dec 2014 (Median) to 2015, with 2 observations. The data reached an all-time high of 1.792 % in 2014 and a record low of 1.625 % in 2015. Peru PE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Female: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.; ; UNESCO Institute for Statistics; ;

Graph and download economic data for Unemployment Rate - College Graduates - Master's Degree, 55 to 64 years, Women (CGMD5564W) from Jan 2000 to May 2025 about master's degree, 55 to 64 years, females, tertiary schooling, education, unemployment, rate, and USA.

About this dataset

Context

The dataset tabulates the population of Pace by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Pace. The dataset can be utilized to understand the population distribution of Pace by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Pace. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Pace.

Key observations

Largest age group (population): Male # 60-64 years (9) | Female # 70-74 years (20). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Pace population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pace is shown in the following column.
• Population (Female): The female population in the Pace is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Pace for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pace Population by Gender. You can refer the same here

The master dataset contains comprehensive information for all government schools in NSW. Data items include school locations, latitude and longitude coordinates, school type, student enrolment numbers, electorate information, contact details and more.

This dataset is publicly available through the Data NSW website, and is used to support the School Finder tool.

Data Notes:

• Data relating to healthy canteen is no longer up to date as it is no longer updated by the Department, this data can be sourced through NSW health.

• Student enrolment numbers are based on the census of government school students undertaken on the first Friday of August; and LBOTE numbers are based on data collected in March.

• School information, such as addresses and contact details, are updated regularly as required, and are the most current source of information.

• Data is suppressed for indigenous and LBOTE percentages where student numbers are equal to, or less than five indicated by "np".

• NSSC out of scope schools will not have an enrolment figure.

• NSSC and LBOTE figures are updated annually in December.

• ICSEA values are updated every February with the previous year's ICSEA values. Small schools, SSPs and Senior Secondary schools do not have their ICSEA values published by ACARA.

• Family Occupation and Educational Index (FOEI) is a school-level index of educational disadvantage. Data is extracted in May and values are updated annually in December.

• Following the introduction of part-time study in secondary schools in 1993, student enrolments are generally reported in full-time equivalent units (FTE). The FTE for students studying less than 10 units, the minimum workload, is determined by the formula: 0.1 x the number of units studied and represented as a proportion of the full-time enrolment of 1.0 FTE.

Data Source:

• Education Statistics and Measurement. Centre for Education Statistics and Evaluation.

Question Paper Solutions of chapter Descriptive Statistics of Basic Data Science, 3rd Semester , Master of Computer Applications (2 Years)

Current grant and loan content for Washington Water & Salmon Fund Finder.

Set data ini menunjukkan statistik Malaysian Standards (MS)