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 Jul 2025 about master's degree, 25 years +, males, 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.

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 Jul 2025 about 16 to 17 years, master's degree, tertiary schooling, civilian, education, labor force, labor, household survey, and USA.

Financial overview and grant giving statistics of Msc Foundation

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).

In 2024, about ****** 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.

Graduation of master's degree students, within the field of study grouping (Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings) and province or territory of first enrolment, by demographic characteristics. The STEM grouping includes fields of study in science, technology, engineering, and mathematics and computer sciences. The BHASE grouping includes fields of study in business, humanities, health, arts, social science, education, legal studies, trades, services, natural resources and conservation.

Number of Canadian students in a master's degree entry cohort belonging to a visible minority group, by student characteristics.

In 2022, the total number of students enrolled in a master's or equivalent degree program in Canada remained nearly unchanged at around 231,930 students. Nevertheless, 2022 still represents a peak in the total number in Canada with 231,930 students.

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.

the EMNLP 2015 Workshop submission "Semantically enriched models for modal sense classification" by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmer 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 the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank. 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.

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

This is the dataset of the Master thesis titled "An Evaluation of the Merging Interaction between Humans and Interaction-Aware Vehicles". The dataset encompasses the results of 10 experiments conducted as part of the thesis, with each experiment involving 2 participants, resulting in a total of 20 participants. All participants provided informed consent before participating in the experiments. The research protocol was reviewed and approved by the ethical committee of TU Delft.

The experiments were conducted using a virtual reality driving simulator, allowing for the collection of comprehensive data on the interaction between human drivers and interaction-aware vehicles. The dataset includes raw data captured during the experiments, as well as analyzed results derived from the collected data. The data include the raw data from the experiments conducted in the virtual reality driving simulator, the eye-tracking data capturing participants' gaze and attention during the merging interactions and the analyzed results obtained from the collected data.

This dataset includes four files:1) Demographic data2) Master chart for the plaque index and bleeding index3)Master chart for both the groups for all the parameters4) Percentage of root coverage calculation data5)Sample size calculation and statistical analysis 6)Results chart

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/); ;

Graph and download economic data for Unemployment Rate - College Graduates - Master's Degree, 25 to 34 years (CGMD2534) from Jan 2000 to Jul 2025 about master's degree, 25 to 34 years, tertiary schooling, education, unemployment, rate, and USA.

Financial overview and grant giving statistics of Royal And Select Masters Of Washington

About this dataset

Context

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

Content

The dataset constitues the following datasets

• Walnut, MS 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/.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (71) | Female # 15-19 years (37). 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 Roxie population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Roxie is shown in the following column.
• Population (Female): The female population in the Roxie 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 Roxie 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 Roxie Population by Gender. You can refer the same here

South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 1.179 % in 2015. South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 1.179 % from Dec 2015 (Median) to 2015, with 1 observations. South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.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; ;