Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Engineers, all other occupations: 16 years and over: Women (LEU0254747000A) from 2000 to 2024 about engineering, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Women represent a minority in the tech sector. In Italy, only three in 10 people working in data and IT sectors are women. Similarly, only 19 percent of engineers are women, while they make up 17 percent of people employed in data computing.

Graph and download economic data for Employed full time: Wage and salary workers: Aerospace engineers occupations: 16 years and over: Women (LEU0254692100A) from 2000 to 2024 about aerospace, engineering, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Graph and download economic data for Employed full time: Wage and salary workers: Mechanical engineers occupations: 16 years and over: Women (LEU0254693200A) from 2000 to 2024 about mechanical, engineering, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Abstract copyright UK Data Service and data collection copyright owner. The complete Engineering Employers' Federation (EEF) payroll data have been transcribed from records kept at the University of Warwick's Modern Record Centre in order to provide electronic access. This is an especially rich source of data, representing roughly 30 percent of UK engineering. Detailed information are provided on wages (rates and earnings) and hours of work at engineering district, section, and occupational levels. Statistics separate pieceworkers and timeworkers as well as males and females. Information on apprentices, journeymen, boys and youths is also given. The statistics cover the period 1914 to 1968 and provide exceptional detail for the inter-war period (including the Great Depression), WWII, and the post-war recovery period. Unemployment rates covering 1926-1968 and matching 28 of the 56 engineering districts are also provided. To date, research work carried out at the University of Stirling on these data include: (a) A comprehensive descriptive analysis of all main features of the data. (b) Wages and hours in British engineering in the inter-and post-war periods. (c) The effect of the business cycles on the piece rates and time rates of pay. (d) Female work and pay in engineering during WWII. (e) Apprenticeship and journeymen relative pay and employment in the interwar period. Main Topics: The EEF data cover the period 1914-1968. They are divided into engineering districts, sections and occupations and by gender, piecework and timework. The available data files contain: (a) District data for men: this covers 36 years between 1914 and 1968 (there are some missing years) for 25 occupations and 56 districts. (b) Section data for men: for 28 years between 1930 and 1968 (again with missing years) for 25 occupations and 43 sections. (c) District data for women: for 27 years between 1935 and 1968 for 55 districts. For 1935 to 1939 and 1945 to 1962 the breakdown is by women aged under and over 18. For 1940 to 1942 this is broken down further into women doing men's work and women doing women and boys' work. For 1966 to 1968 it is women under and over 21. (d) Section data for Women: this is for 25 years between 1935 and 1968 covering 43 sections and with the same breakdown as the district data. (e) Apprentices, Boys and Youths: both the district data and the section data covers 14 years between 1935 and 1958 for 55 districts and 29 sections. (f) Night shift and 2/3 shift working: the district data it is just for two years, 1935 and 1936 for 51 districts while the section data is for five years from 1935 to 1939 covering 28 sections. (g) Apprentices, journeymen and boys: this gives numbers of apprentices, journeymen and boys for 11 years from 1928 to 1938 covering 38 districts and 8 occupations. (h) District unemployment rates: these have been made available for 28 of the EEF districts from 1926 to 1968. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Singapore Graduates from Polytechnic Diploma: Females: Engineering Sciences data was reported at 1,650.000 Person in 2016. This records a decrease from the previous number of 1,718.000 Person for 2015. Singapore Graduates from Polytechnic Diploma: Females: Engineering Sciences data is updated yearly, averaging 1,902.000 Person from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 2,549.000 Person in 2001 and a record low of 986.000 Person in 1993. Singapore Graduates from Polytechnic Diploma: Females: Engineering Sciences data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G064: Education Statistics: Graduates from Educational Institutions.

Singapore Graduates from University 1st Degree: Females: Engineering Sciences data was reported at 1,385.000 Person in 2016. This records an increase from the previous number of 1,375.000 Person for 2015. Singapore Graduates from University 1st Degree: Females: Engineering Sciences data is updated yearly, averaging 1,099.500 Person from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 1,386.000 Person in 2008 and a record low of 227.000 Person in 1994. Singapore Graduates from University 1st Degree: Females: Engineering Sciences data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G064: Education Statistics: Graduates from Educational Institutions.

Singapore Enrolment in Polytech Diploma: Females: Engineering Sciences data was reported at 4,892.000 Number in 2016. This records a decrease from the previous number of 5,253.000 Number for 2015. Singapore Enrolment in Polytech Diploma: Females: Engineering Sciences data is updated yearly, averaging 6,272.500 Number from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 8,412.000 Number in 1999 and a record low of 4,737.000 Number in 1993. Singapore Enrolment in Polytech Diploma: Females: Engineering Sciences data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G061: Education Statistics: Enrolment.

Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.

Singapore Enrolment in Uni 1st Deg Courses: Females: Engineering Sciences data was reported at 5,508.000 Number in 2017. This records an increase from the previous number of 5,342.000 Number for 2016. Singapore Enrolment in Uni 1st Deg Courses: Females: Engineering Sciences data is updated yearly, averaging 4,968.000 Number from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 5,543.000 Number in 2014 and a record low of 975.000 Number in 1992. Singapore Enrolment in Uni 1st Deg Courses: Females: Engineering Sciences data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G070: Education Statistics: Enrolment.

The proportion of male and female postsecondary enrolments, by International Standard Classification of Education (ISCED), institution type, Classification of Instructional Programs (CIP) 2021, STEM (science, technology, engineering and mathematics) and BHASE (business, humanities, health, arts, social science and education) groupings, status of student in Canada and age group.

IntroductionThe study examines the impact of targeted educational interventions on the academic success and retention of engineering students identified as high-risk, with a focus on two student groups historically underrepresented in STEM: underrepresented minority (URM) and female students. These interventions included an alternative curriculum pathway, a co-calculus support course, and spatial visualization training. Building on our previous work, we evaluated the outcomes of interventions designed to improve retention and graduation rates among the most academically underprepared students from these groups, who were consequently categorized as high-risk.MethodologyWe analyzed data from 10 student cohorts, covering 5 years before and 5 years after the interventions were implemented. We utilized a two-population proportion test to compare the groups' retention rates, graduation rates, and success in early STEM courses during pre- and post-intervention periods. Additionally, we constructed logistic regression models to identify key factors influencing on-time graduation.ResultsOur results show that the interventions significantly increased both the 4- and 6-year graduation rates for high-risk URM students by nearly 20 percentage points. Although high-risk female students improved retention and graduation rates, these changes were not found to be statistically significant. However, their performance in early foundation STEM courses, particularly Physics I and Calculus I, significantly improved post-intervention.DiscussionLogistic regression models indicated a shift in the significance of the graduation rate predictors post-intervention, demonstrating the efficacy of these tailored strategies. The reduced importance of Physics I grades in predicting on-time graduation during the intervention years suggests a benefit of the alternative curriculum pathway, which decoupled this course from Calculus I for high-risk students. Additionally, the intervention mitigated the previously significant predictor of being non-URM for on-time graduation, indicating a leveling effect for URM students. These findings highlight the potential of customized interventions to enhance the academic outcomes and retention of high-risk students in STEM disciplines.

Females awarded bachelor’s degrees in STEM fields.

Employability of workers in India based on Wheebox India Skills report - values for skill-based employability for male and female.

Graph and download economic data for Employed full time: Wage and salary workers: Aircraft pilots and flight engineers occupations: 16 years and over: Women (LEU0254734900A) from 2000 to 2024 about pilots, engineering, aircraft, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.