In the academic year of 2020/21, about 202,334 Master's degrees were earned in business across the United States, making it the most common master's degree earned. In that same year, another 47,257 Master's degrees were earned in engineering.

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.

About 3,785 master's degrees were earned in the United States by American Indian or Alaskan Native students in the academic year of 2020/2021. Additionally, 460,320 master's degrees were earned by white students, and 98,246 were earned by Black students.

In the academic year of 2021/22, about 880,250 students were awarded a Master's degree in the United States. This figure is projected to increase by the academic year of 2031/32, when it is forecasted that 1,000,460 students will be awarded a Master's degree.

Graph and download economic data for Unemployment Rate - College Graduates - Master's Degree, 20 to 24 years, Men (CGMD2024M) from Jan 2000 to Feb 2025 about master's degree, 20 to 24 years, males, tertiary schooling, education, unemployment, rate, and USA.

Graph and download economic data for Unemployment Rate: College Graduates: Advanced Degree: Master's Degree and Higher, 25 years and over (CGAD25O) from Dec 2014 to Feb 2025 about master's degree, 25 years +, tertiary schooling, education, household survey, unemployment, rate, and USA.

No of Graduate: Higher Edu: Regular Undergraduate and Specialized: Chongqing data was reported at 299,414.000 Person in 2023. This records an increase from the previous number of 271,002.000 Person for 2022. No of Graduate: Higher Edu: Regular Undergraduate and Specialized: Chongqing data is updated yearly, averaging 122,811.000 Person from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 299,414.000 Person in 2023 and a record low of 18,979.000 Person in 1997. No of Graduate: Higher Edu: Regular Undergraduate and Specialized: Chongqing data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GD: No of Graduate: Higher Education: By Region.

Vietnam University & College: Graduate data was reported at 353.600 Person th in 2015. This records a decrease from the previous number of 441.800 Person th for 2014. Vietnam University & College: Graduate data is updated yearly, averaging 165.652 Person th from Sep 1991 (Median) to 2015, with 25 observations. The data reached an all-time high of 441.800 Person th in 2014 and a record low of 20.500 Person th in 1991. Vietnam University & College: Graduate data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G050: Education Statistics.

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

Weighted average tuition fees by field of study for full-time Canadian graduate students. Data are collected from all publicly funded Canadian degree-granting institutions.

About this dataset

Context

The dataset tabulates the population of Scott County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Scott County. The dataset can be utilized to understand the population distribution of Scott County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Scott County. 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 Scott County.

Key observations

Largest age group (population): Male # 0-4 years (1,303) | Female # 10-14 years (1,270). 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 Scott County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Scott County is shown in the following column.
• Population (Female): The female population in the Scott County 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 Scott County 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 Scott County Population by Gender. You can refer the same here

Financial overview and grant giving statistics of Grand Council of Royal and Select Masters in North Carolina

About this dataset

Context

The dataset tabulates the population of Shaw by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Shaw across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 57.69% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Shaw is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Shaw total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Shaw Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Osyka by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Osyka. The dataset can be utilized to understand the population distribution of Osyka by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Osyka. 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 Osyka.

Key observations

Largest age group (population): Male # 15-19 years (35) | Female # 55-59 years (28). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Osyka population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Osyka is shown in the following column.
• Population (Female): The female population in the Osyka 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 Osyka 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 Osyka Population by Gender. You can refer the same here

This database stores wage data and self-employment income data that date back to 1937.

Financial overview and grant giving statistics of Royal & Select Masters of RI 1 Providence No 1 RSM

Financial overview and grant giving statistics of Masters And Wardens & Members Of The Grand Lodge Of Masons In Massachusetts

Financial overview and grant giving statistics of Royal & Select Masters of Massachusetts Inc. Grand Council

Mexico MS: No. of Admissions: Foreigners data was reported at 3,882,586.000 Person in Dec 2024. This records an increase from the previous number of 3,168,856.000 Person for Nov 2024. Mexico MS: No. of Admissions: Foreigners data is updated monthly, averaging 1,866,002.000 Person from Jan 2002 (Median) to Dec 2024, with 276 observations. The data reached an all-time high of 3,882,586.000 Person in Dec 2024 and a record low of 76,981.000 Person in Apr 2020. Mexico MS: No. of Admissions: Foreigners data remains active status in CEIC and is reported by Ministry of Interior. The data is categorized under Global Database’s Mexico – Table MX.G011: Migration Statistics: Number of Admissions.

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.