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.

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.

About this dataset

Context

The dataset tabulates the Worcester population by year. The dataset can be utilized to understand the population trend of Worcester.

Content

The dataset constitues the following datasets

• Worcester, MA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Graph and download economic data for Employed Persons in Worcester, MA-CT (NECTA) (LAUMT257960000000005A) from 1990 to 2023 about Worcester, CT, MA, household survey, employment, persons, and USA.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 52.33% 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 Springfield is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Springfield 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 Springfield Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (1,719) | Female # 60-64 years (1,886). 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 Pittsfield population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pittsfield is shown in the following column.
• Population (Female): The female population in the Pittsfield 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 Pittsfield 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 Pittsfield Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Woburn population by year. The dataset can be utilized to understand the population trend of Woburn.

Content

The dataset constitues the following datasets

• Woburn, MA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Graph and download economic data for All Employees: Trade, Transportation, and Utilities in Massachusetts (MATRAD) from Jan 1990 to Apr 2025 about utilities, MA, trade, transportation, employment, and USA.

Morocco MA: Primary Education: Teachers: % Female data was reported at 56.448 % in 2016. This records an increase from the previous number of 55.342 % for 2015. Morocco MA: Primary Education: Teachers: % Female data is updated yearly, averaging 38.011 % from Dec 1971 (Median) to 2016, with 41 observations. The data reached an all-time high of 56.448 % in 2016 and a record low of 18.269 % in 1971. Morocco MA: Primary Education: Teachers: % Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Education Statistics. Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

In 2023, about 25.4 percent of people in Massachusetts aged over 25 years held a Bachelor's degree as their highest level of education. Furthermore, about 22.8 percent of people in the state had a high school diploma or equivalency as their highest level of education.

The Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Environmental Systems Research Institute (ESRI) Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. Additionally, the DSAS application is useful for computing rates of change for any boundary-change problem that incorporates a clearly-identified feature position at discrete times, such as glacier limits, river banks, or land use/cover boundaries. The "bias feature" is a shapefile representation the proxy-datum bias (PDB) data previously published in tabular format (Himmelstoss and others 2010, Himmelstoss and others 2018). These PDB data are used to shift older proxy-based shorelines so that they can be directly compared to newer datum-based shorelines and accurate rates can be calculated.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 52.17% 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 Taunton is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Taunton 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 Taunton Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (849) | Female # 20-24 years (749). 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 Southbridge Town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Southbridge Town is shown in the following column.
• Population (Female): The female population in the Southbridge Town 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 Southbridge Town 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 Southbridge Town Population by Gender. You can refer the same here

Find data on maternal and child health in Massachusetts by race and Hispanic ethnicity.

Graph and download economic data for All Employees: Manufacturing in Massachusetts (MAMFGN) from Jan 1990 to Apr 2025 about MA, manufacturing, employment, and USA.

Find information on Positive Childhood Experiences (PCEs) and Adverse Childhood Experiences (ACEs) survey data of Massachusetts residents.

Find data on Schedule II Opioid Prescription Drugs in Massachusetts. This dataset provides information from the Prescription Monitoring Program, part of the Massachusetts Drug Control Program.

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

The compressed (.zip) file contains Datawell MK-III Directional Waverider binary and unpacked data files as well as a description of the data and manuals for the instrumentation. The data files are contained in the two directories within the zip file, "Apr_July_2012" and "Jun_Sept_2013". Time series and summary data were recorded in the buoy to binary files with extensions '.RDT' and '.SDT', respectively. These are located in the subdirectories 'Data_Raw' in each of the top-level deployment directories. '.RDT' files contain 3 days of time series (at 1.28 Hz) in 30 minute "bursts". Each '.SDT' file contains summary statistics for the month indicated computed at half-hour intervals for each burst. Each deployment directory also contains a description (in 'File.list') of the Datawell binary data files, and a figure ('Hs_vs_yearday') showing the significant wave height associated with each .RDT file (decoded from the filename). The corresponding unpacked Matlab .mat files are contained in the subdirectories 'Data_Mat'. These files have the extension '.mat' but use the root filename of the source .RDT and .SDT files.

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.