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 Feb 2025 about master's degree, males, 25 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

Graph and download economic data for Civilian Labor Force: College Graduates: Advanced Degree: Master's Degree and Higher, 16 to 17 years (CGADL1617) from May 2015 to Feb 2025 about 16 to 17 years, master's degree, tertiary schooling, civilian, education, labor force, labor, household survey, and USA.

This statistic shows the distribution of average annual expenses of academic libraries at master's degree granting institutions in the United States in 2015, by type of expense. As of 2015, academic libraries at post-secondary education institutions in the U.S. that granted master's degrees spent about 42,164 U.S. dollars on E-books on average.

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.

This is the set of data and scripts underlying the statistical analysis of environmental effects of the MSC Zoe incident in Dutch coastal waters in January 2019. The dataset is self-contained as it is composed of the basic data, the scripts and the markdown documents that generate the report.

About this dataset

Context

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

Key observations

There is a majority of female population, with 61.42% 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 Tchula is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Tchula 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 Tchula Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of female population, with 53.69% 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 Kosciusko is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Kosciusko 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 Kosciusko Population by Race & Ethnicity. You can refer the same here

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The number of master's degree graduates (or equivalent) in Canada decreased to 72,471 numbers compared to the previous year. Nevertheless, the last two years recorded a significantly higher number than the preceding years.

Composition of training and testing used for the classification experiments. The dataset was used for: the EMNLP 2015 Workshop submission "Semantically enriched models for modal sense classification" by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmer the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank. Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission "Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations" by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank. Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank.

Explore the progression of average salaries for graduates in Applied Statistics I.E., Masters Degree In Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Applied Statistics I.E., Masters Degree In Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Applied Statistics I.E., Masters Degree In Statistics, providing a clear picture of financial prospects post-graduation.

European Union Imports: swda: EU 27E: Australia: Msc Manufactured Articles data was reported at 0.070 EUR bn in Nov 2024. This records a decrease from the previous number of 0.070 EUR bn for Oct 2024. European Union Imports: swda: EU 27E: Australia: Msc Manufactured Articles data is updated monthly, averaging 0.032 EUR bn from Jan 2002 (Median) to Nov 2024, with 275 observations. The data reached an all-time high of 0.081 EUR bn in Feb 2024 and a record low of 0.017 EUR bn in Jul 2004. European Union Imports: swda: EU 27E: Australia: Msc Manufactured Articles data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA027: Eurostat: Trade Statistics: By SITC: European Union: Australia.

In this study, the loading characteristics of a crown wall on a rubble mound breakwater are investigated using a 2D physical model. The study examines both overall stability (through sliding) and the temporal and spatial distributions of pressure along the face and base of the crown wall. A range of wave conditions is tested, with particular emphasis on the influence of foundation level on the loading characteristics. Additionally, a second breakwater core is used to assess the impact of permeability on the wave loading characteristics. The findings highlight the significance of both parameters and analyze the discrepancies between predicted and measured maximum horizontal and vertical forces after wave impact. Furthermore, a novel two-step method is proposed to improve existing design methods, enabling more accurate estimation of wave loads.

The Mesenchymal Stem Cell (MSC) Therapy market is experiencing remarkable growth and innovation, emerging as a pivotal segment within regenerative medicine. Mesenchymal stem cells, known for their capability to differentiate into various cell types and their potential to modulate immune responses, are increasingly b

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.27% 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 Macon is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Macon 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 Macon Population by Race & Ethnicity. You can refer the same here

THIS DATASET IS FINAL AND NO FURTHER UPDATES ARE EXPECTED. This is a report for all the relevant columns of FEMA Individual Assistance Program- amount obligated and disbursed down by program, county and municipality.

European Union Trade Balance: swda: EU 27E: America: Msc Manufactured Articles data was reported at 3.103 EUR bn in Nov 2024. This records a decrease from the previous number of 3.265 EUR bn for Oct 2024. European Union Trade Balance: swda: EU 27E: America: Msc Manufactured Articles data is updated monthly, averaging 1.372 EUR bn from Jan 2002 (Median) to Nov 2024, with 275 observations. The data reached an all-time high of 3.486 EUR bn in Sep 2022 and a record low of 0.460 EUR bn in Mar 2009. European Union Trade Balance: swda: EU 27E: America: Msc Manufactured Articles data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA026: Eurostat: Trade Statistics: By SITC: European Union: America.

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.