This case study sets out early experimental analysis of linked Higher Education Statistics Agency (HESA) and Home Office Exit Checks data, with the aim of understanding what linking HESA and Home Office Exit Checks data can tell us about departure patterns and length of stay of non-EU students at the local authority level. The findings from this case study provide important insights that will be key to the successful development of a population and migration statistics system based on administrative data sources.
This case study aims to build on research into international student migration, specifically to understand the activity and impact they have during their stay. The slides summarise what research is already published on the activity of international students. It illustrates what exploratory research, using linked administrative data sources, can tell us about the interactions international students have with the HMRC PAYE system. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
This document summarizes Dr. Jay Smink's presentation on effective strategies for increasing graduation rates. The presentation covers understanding the problem of dropout rates through data on national, state, and background characteristics of dropouts. It also discusses categories of factors contributing to students dropping out, including individual, family, school, and community factors. Finally, it outlines 15 strategies that help prevent students from dropping out, including systemic renewal, school-community collaboration, creating safe learning environments, and monitoring student progress.
this is a slide that mainly concerns the student's lives in India and how it is being affected due to this whole pandemic thing. hope the world will heal soon.
A study on use of the internet by the teachers and students of surkhet campus...Rajan Kandel
This document summarizes a study on the use of the internet by teachers and students at Surkhet Campus (Education) in Nepal. It includes the following sections: introduction, research methodology, results, discussion of findings, implications, and conclusion. The introduction provides background on the internet and its use in education. The research methodology section details that surveys were conducted with 37 teachers and 258 students to collect primary data on internet usage. The study aims to understand the purposes, prospects, and challenges of internet use at the campus.
Some examples of how the pandemic is affecting education and ways forwardWeb2Learn
An overview of impact of coronavirus pandemic on education and educators' roles and skills. Presentation given at the webinar " Challenges for Higher Education in the era of Covid19 and the next day", organised by Prof. Konstantinos Petrides, Hellenic Mediterranean University, May 4. Recording of complete webinar available at: http://petridischania.hmu.gr/webinar/
The document discusses the impacts of COVID-19 lockdowns on education. It notes schools closing will cause major disruptions to learning and assessments. Internal assessments provide important student progress information and their cancellation can have long term consequences. Graduates may have poor career entry due to final year interruptions and recession. Solutions proposed include resources to rebuild lost learning and reconsideration of cancelling internal assessments.
Rapport sur les effectifs de la fonction publique en HaitiStanleylucas
Ce rapport présente le nombre de fonctionnaires et contractuels dans la fonction publique en Haïti en décembre 2017. Les données analysées sont présentées dans des tableaux et des graphiques pour donner une idée générale de la situation de la Fonction publique.
This case study aims to build on research into international student migration, specifically to understand the activity and impact they have during their stay. The slides summarise what research is already published on the activity of international students. It illustrates what exploratory research, using linked administrative data sources, can tell us about the interactions international students have with the HMRC PAYE system. The findings from this case study provide important insights which are key to the successful development of a population and migration statistics system based on administrative data sources.
This document summarizes Dr. Jay Smink's presentation on effective strategies for increasing graduation rates. The presentation covers understanding the problem of dropout rates through data on national, state, and background characteristics of dropouts. It also discusses categories of factors contributing to students dropping out, including individual, family, school, and community factors. Finally, it outlines 15 strategies that help prevent students from dropping out, including systemic renewal, school-community collaboration, creating safe learning environments, and monitoring student progress.
this is a slide that mainly concerns the student's lives in India and how it is being affected due to this whole pandemic thing. hope the world will heal soon.
A study on use of the internet by the teachers and students of surkhet campus...Rajan Kandel
This document summarizes a study on the use of the internet by teachers and students at Surkhet Campus (Education) in Nepal. It includes the following sections: introduction, research methodology, results, discussion of findings, implications, and conclusion. The introduction provides background on the internet and its use in education. The research methodology section details that surveys were conducted with 37 teachers and 258 students to collect primary data on internet usage. The study aims to understand the purposes, prospects, and challenges of internet use at the campus.
Some examples of how the pandemic is affecting education and ways forwardWeb2Learn
An overview of impact of coronavirus pandemic on education and educators' roles and skills. Presentation given at the webinar " Challenges for Higher Education in the era of Covid19 and the next day", organised by Prof. Konstantinos Petrides, Hellenic Mediterranean University, May 4. Recording of complete webinar available at: http://petridischania.hmu.gr/webinar/
The document discusses the impacts of COVID-19 lockdowns on education. It notes schools closing will cause major disruptions to learning and assessments. Internal assessments provide important student progress information and their cancellation can have long term consequences. Graduates may have poor career entry due to final year interruptions and recession. Solutions proposed include resources to rebuild lost learning and reconsideration of cancelling internal assessments.
Rapport sur les effectifs de la fonction publique en HaitiStanleylucas
Ce rapport présente le nombre de fonctionnaires et contractuels dans la fonction publique en Haïti en décembre 2017. Les données analysées sont présentées dans des tableaux et des graphiques pour donner une idée générale de la situation de la Fonction publique.
Digital 2022 Syria (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Syria in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Syria, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Action Research Proposal: Problem, Purpose, and Research Questions J'Nai Whitehead, MSHRM
This is a draft of an action research proposal that includes an identified problem (issue, concern, or need) in my professional practice/workplace setting. I composed a problem, purpose, and research question(s) to guide my literature review and the action research study.
Education Transformation and PISA - Andreas Schleicher, OECD Director for Edu...EduSkills OECD
600,000 students representing about 32 million 15-year-olds in the schools of the 79 participating countries and economies, sat the 2-hour PISA test in 2018.
The document discusses the impact of COVID-19 school closures on education worldwide. It finds that only 70% of students have the necessary assets for remote learning, and 31% cannot be reached by remote learning programs. While 90% of countries have implemented some form of remote learning, most students who cannot be reached are from rural and poor backgrounds. It also notes that remote learning policies relying on TV had the potential to reach 62% of students, and that the online education market is projected to reach $350 billion by 2025.
I selected a problem (issue, concern, or need) in my professional practice, discussed the problem and purpose and developed 3 research questions to guide the literature review for my action research proposal. In this paper, I drafted a literature review by selecting, evaluating, and synthesizing 5-6 peer-reviewed articles. My goal in conducting this literature review is to identify best-practice solution(s) or intervention(s) that I may implement related to the identified problem (issue, concern, or need) and then decide on the solution or intervention I will (propose to) implement in my action research proposal.
Around the world, people are facing the issue of COVID-19. The COVID-19 is having a dramatic impact on several sectors especially the educational sector. Here my team and I will share our ideas about this issue. Please check this out!
In this (Part 3 of the Action Research Proposal) draft, I introduced one research question (the “how” question from Table 1, Module 1), a research methodology, the target population impacted, and the professional practice/workplace setting (pseudonym). I also developed a data collection plan appropriate to the selected methodology.
Digital 2022 Mayotte (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Mayotte in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Mayotte, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
The document discusses the impact of COVID-19 on education. It notes that most nations implemented lockdowns which closed schools and colleges. This led to a jump in online learning platforms as learning continued remotely. Some impacts included skills training moving online, reduced transportation costs through video conferencing, and opportunities for quality open online courses. However, there were also shortcomings like privacy issues with US-based platforms, connectivity gaps in rural areas, and lack of centralized course materials. Moving forward, blended online and in-person learning may become more common, along with increased testing and gradual reopening of schools.
This document outlines a research proposal that investigates teachers' perceptions of assessing students' oral reading skills in rural primary schools. The study aims to understand teachers' views on reading aloud assessments, and whether their perceptions differ based on years of teaching experience or education level. It will also explore factors influencing teachers' assessments of oral skills. The methodology section describes a mixed-methods approach using questionnaires to collect quantitative data on 80-120 teacher samples, and interviews for qualitative data from 12 purposefully selected teachers. Data will be analyzed using statistical and thematic techniques to understand teachers' perspectives and answer the research questions.
This document provides demographic data and statistics on New York City public school students from the 2009-2010 school year. It includes data on student ethnicity, English language learner status, special education status, and languages spoken at home by grade. It also provides information on resources for public schools, including budgets, staffing, and facilities. Finally, it presents some indicators of school performance outcomes. The data is from the New York City Department of Education and is analyzed by the New York City Independent Budget Office to enhance public understanding of the school system.
Gone International mobile students and their outcomesLeonard B
This report analyzes data on UK-domiciled undergraduate students who graduated in 2012/13 to compare outcomes of students who spent time abroad ("mobile students") to those who did not ("non-mobile students"). The key findings are:
1) Mobile students had lower unemployment rates (5.4% vs 6.7%) and higher rates of working abroad (11% of employed graduates) compared to non-mobile students.
2) Mobile students earned more on average in 11/17 subject areas and earned more working in the UK. They earned more in 40/67 subjects with differences of over £3,000 in some areas.
3) A higher proportion of mobile students received First Class or
This slide pack illustrates the Office for National Statistics’ (ONS) research into developing an alternative approach to producing administrative data-based population stocks and flows.
This document analyzes data from various sources to identify local areas in the UK that may need more support based on key indicators related to education and employment outcomes for youth. It examines deprivation levels, employer engagement, academic achievement, apprenticeships, youth unemployment, and employer perceptions of student preparedness. Local Enterprise Partnership areas are prioritized based on the number of indicators in the bottom third of results. The analysis aims to start conversations around potential interventions to address local challenges.
Pr presentation city university june 2011 michael peakVicky
The document discusses factors that influence international students' choices in selecting countries and institutions for higher education. It notes that visa issues, fees, family influences, career prospects, and institutional quality and reputation are important considerations. Student survey data is presented showing preferences among prospective students from countries like China, India, and Nigeria. The challenges facing UK institutions in an increasingly competitive global education market are also summarized.
This presentation summarises the latest findings and updates about Agency data collection, which will take place annually from 2020 onwards. EASIE work continues to focus on developing procedures, indicators and outputs that provide countries with individual, comparative and aggregated data relating to all learners’ access to inclusive education.
What is the impact of the economic crisis on Europe’s universities? EUA has been monitoring the evolution of public funding to higher education systems in Europe since its onset in 2008 and has published several reports. The EUA Public Funding Observatory report gives the opportunity to look at the data per country and per year. The monitoring is conducted in close cooperation with EUA’s collective members, the National Rectors’ Conferences, which report on developments within their national higher education systems on a regular basis. The continuous feedback from various sources provides up-to-date reports of the situation and highlights the evolution of public funding for the university sector across Europe.
The EUA Public Funding Observatory was launched in 2008 with the aim to monitor the impact of the financial crisis on higher education in different countries across Europe. Since then, EUA has been collecting quantitative and qualitative data on public funding received by European higher education institutions, and analysing both long- term trends and recent changes.
The funding data and other relevant figures are made available to EUA by its collective members, the national rectors’ conferences, whose support has been invaluable. Processed and analysed in view of evolving student numbers, as well as the overall economic context adjusted to inflation and GDP growth, this data provides some empirical evidence on public funding trajectories in the field of higher education in Europe.
Social Market Foundation Report: Staying the CourseHobsons
New research from the Social Market Foundation (SMF) has found that no significant progress is being made on improving retention rates in higher education in England – but that institutions which are making a success of their ‘student experience,’ with more satisfied students, are likely to have higher rates of course completion.
This document provides a pan-London analysis of where 16-19 year old residents study based on 2010 data. Key findings include:
- 50.7% of residents study within their home borough, 41.0% travel to other London boroughs, and 8.3% go outside London.
- The percentage studying within their home borough varies widely from 11.3-78.1% across boroughs.
- Boroughs with higher average student scores tend to have higher proportions studying locally, though there are exceptions.
- 12 boroughs export over 10% of learners outside London, with two south London boroughs having the highest rates over 26%.
- Only two boroughs educate over 75% of
Digital 2022 Syria (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Syria in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Syria, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Action Research Proposal: Problem, Purpose, and Research Questions J'Nai Whitehead, MSHRM
This is a draft of an action research proposal that includes an identified problem (issue, concern, or need) in my professional practice/workplace setting. I composed a problem, purpose, and research question(s) to guide my literature review and the action research study.
Education Transformation and PISA - Andreas Schleicher, OECD Director for Edu...EduSkills OECD
600,000 students representing about 32 million 15-year-olds in the schools of the 79 participating countries and economies, sat the 2-hour PISA test in 2018.
The document discusses the impact of COVID-19 school closures on education worldwide. It finds that only 70% of students have the necessary assets for remote learning, and 31% cannot be reached by remote learning programs. While 90% of countries have implemented some form of remote learning, most students who cannot be reached are from rural and poor backgrounds. It also notes that remote learning policies relying on TV had the potential to reach 62% of students, and that the online education market is projected to reach $350 billion by 2025.
I selected a problem (issue, concern, or need) in my professional practice, discussed the problem and purpose and developed 3 research questions to guide the literature review for my action research proposal. In this paper, I drafted a literature review by selecting, evaluating, and synthesizing 5-6 peer-reviewed articles. My goal in conducting this literature review is to identify best-practice solution(s) or intervention(s) that I may implement related to the identified problem (issue, concern, or need) and then decide on the solution or intervention I will (propose to) implement in my action research proposal.
Around the world, people are facing the issue of COVID-19. The COVID-19 is having a dramatic impact on several sectors especially the educational sector. Here my team and I will share our ideas about this issue. Please check this out!
In this (Part 3 of the Action Research Proposal) draft, I introduced one research question (the “how” question from Table 1, Module 1), a research methodology, the target population impacted, and the professional practice/workplace setting (pseudonym). I also developed a data collection plan appropriate to the selected methodology.
Digital 2022 Mayotte (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Mayotte in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Mayotte, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
The document discusses the impact of COVID-19 on education. It notes that most nations implemented lockdowns which closed schools and colleges. This led to a jump in online learning platforms as learning continued remotely. Some impacts included skills training moving online, reduced transportation costs through video conferencing, and opportunities for quality open online courses. However, there were also shortcomings like privacy issues with US-based platforms, connectivity gaps in rural areas, and lack of centralized course materials. Moving forward, blended online and in-person learning may become more common, along with increased testing and gradual reopening of schools.
This document outlines a research proposal that investigates teachers' perceptions of assessing students' oral reading skills in rural primary schools. The study aims to understand teachers' views on reading aloud assessments, and whether their perceptions differ based on years of teaching experience or education level. It will also explore factors influencing teachers' assessments of oral skills. The methodology section describes a mixed-methods approach using questionnaires to collect quantitative data on 80-120 teacher samples, and interviews for qualitative data from 12 purposefully selected teachers. Data will be analyzed using statistical and thematic techniques to understand teachers' perspectives and answer the research questions.
This document provides demographic data and statistics on New York City public school students from the 2009-2010 school year. It includes data on student ethnicity, English language learner status, special education status, and languages spoken at home by grade. It also provides information on resources for public schools, including budgets, staffing, and facilities. Finally, it presents some indicators of school performance outcomes. The data is from the New York City Department of Education and is analyzed by the New York City Independent Budget Office to enhance public understanding of the school system.
Gone International mobile students and their outcomesLeonard B
This report analyzes data on UK-domiciled undergraduate students who graduated in 2012/13 to compare outcomes of students who spent time abroad ("mobile students") to those who did not ("non-mobile students"). The key findings are:
1) Mobile students had lower unemployment rates (5.4% vs 6.7%) and higher rates of working abroad (11% of employed graduates) compared to non-mobile students.
2) Mobile students earned more on average in 11/17 subject areas and earned more working in the UK. They earned more in 40/67 subjects with differences of over £3,000 in some areas.
3) A higher proportion of mobile students received First Class or
This slide pack illustrates the Office for National Statistics’ (ONS) research into developing an alternative approach to producing administrative data-based population stocks and flows.
This document analyzes data from various sources to identify local areas in the UK that may need more support based on key indicators related to education and employment outcomes for youth. It examines deprivation levels, employer engagement, academic achievement, apprenticeships, youth unemployment, and employer perceptions of student preparedness. Local Enterprise Partnership areas are prioritized based on the number of indicators in the bottom third of results. The analysis aims to start conversations around potential interventions to address local challenges.
Pr presentation city university june 2011 michael peakVicky
The document discusses factors that influence international students' choices in selecting countries and institutions for higher education. It notes that visa issues, fees, family influences, career prospects, and institutional quality and reputation are important considerations. Student survey data is presented showing preferences among prospective students from countries like China, India, and Nigeria. The challenges facing UK institutions in an increasingly competitive global education market are also summarized.
This presentation summarises the latest findings and updates about Agency data collection, which will take place annually from 2020 onwards. EASIE work continues to focus on developing procedures, indicators and outputs that provide countries with individual, comparative and aggregated data relating to all learners’ access to inclusive education.
What is the impact of the economic crisis on Europe’s universities? EUA has been monitoring the evolution of public funding to higher education systems in Europe since its onset in 2008 and has published several reports. The EUA Public Funding Observatory report gives the opportunity to look at the data per country and per year. The monitoring is conducted in close cooperation with EUA’s collective members, the National Rectors’ Conferences, which report on developments within their national higher education systems on a regular basis. The continuous feedback from various sources provides up-to-date reports of the situation and highlights the evolution of public funding for the university sector across Europe.
The EUA Public Funding Observatory was launched in 2008 with the aim to monitor the impact of the financial crisis on higher education in different countries across Europe. Since then, EUA has been collecting quantitative and qualitative data on public funding received by European higher education institutions, and analysing both long- term trends and recent changes.
The funding data and other relevant figures are made available to EUA by its collective members, the national rectors’ conferences, whose support has been invaluable. Processed and analysed in view of evolving student numbers, as well as the overall economic context adjusted to inflation and GDP growth, this data provides some empirical evidence on public funding trajectories in the field of higher education in Europe.
Social Market Foundation Report: Staying the CourseHobsons
New research from the Social Market Foundation (SMF) has found that no significant progress is being made on improving retention rates in higher education in England – but that institutions which are making a success of their ‘student experience,’ with more satisfied students, are likely to have higher rates of course completion.
This document provides a pan-London analysis of where 16-19 year old residents study based on 2010 data. Key findings include:
- 50.7% of residents study within their home borough, 41.0% travel to other London boroughs, and 8.3% go outside London.
- The percentage studying within their home borough varies widely from 11.3-78.1% across boroughs.
- Boroughs with higher average student scores tend to have higher proportions studying locally, though there are exceptions.
- 12 boroughs export over 10% of learners outside London, with two south London boroughs having the highest rates over 26%.
- Only two boroughs educate over 75% of
International Higher Education in Facts and Figures 2016Cléo Fatoorehchi
This new report, published by the UK HE International Unit and Universities UK, is a handy booklet with key stats on international students and higher education.
The document discusses Higher Education Access Tracker (HEAT), which helps universities target, monitor, and evaluate their widening participation outreach programs. HEAT provides a database to track individual students from outreach through higher education. It also facilitates collaboration between member universities on best practices, research, and data sharing to better evaluate programs and prove their impact. The goal is to increase access to higher education for students from disadvantaged backgrounds through evidence-based outreach.
This document provides information about Houston Community College (HCC) for the Common Data Set. It includes contact information for HCC's Office of Institutional Research and general information about HCC such as its status as a public community college with an open enrollment policy. Enrollment numbers from 2020-2021 are provided for full-time and part-time students by gender and race/ethnicity. Graduation and retention rates cannot be provided since HCC is a two-year institution. Application information is given showing total freshman applicants and admits for 2020. Admission requirements are not listed since HCC has an open enrollment policy.
This a brief portfolio of my work. If you have any questions or would like to see work in another area, please contact me. Thank you for your consideration.
Headline Analysis from the 2016/17 HE Admissions Cycle and 2017/18 Cycle to DateHobsons
Three key points from the document:
1) Total applicants for UK higher education decreased 5% to 564,190 for the 2017/18 admissions cycle, returning to 2013 levels. This decline was driven by falling demand from EU, mature, and nursing applicants as well as a slowdown in growth of 18-year-old applicants.
2) Specifically, EU applicants decreased 7% to 42,000 and applications from international students stagnated. Mature applicants aged 19 and over fell between 9-29% depending on age group. Nursing applications dropped sharply, with a 23% decrease for 18-year-olds in England.
3) Meanwhile, 18-year-old applicant numbers were similar to the
The document discusses several issues with the K12 educational system in the Philippines. It covers: 1) The poor quality of education as seen in national test results, with completion rates in Manila far exceeding other areas of the country. 2) The low budget allocation for education relative to other ASEAN countries. 3) The lack of affordability of education, leading to high dropout rates among low-income families. 4) The country's high rate of out-of-school youth. 5) The mismatch between educational training and available jobs. 6) The problem of brain drain due to many educated Filipinos working abroad. 7) The social divide in educational opportunities between the rich and poor. 8) Shortages of facilities and teachers
This document provides data and charts on higher education trends in the Western Interstate Commission for Higher Education (WICHE) region from 2006 to 2018. Some key findings include:
- Undergraduate enrollment increased 13% overall with growth at public research and private non-profit institutions offsetting declines at public two-year schools.
- Diversity among high school graduates increased but Hispanics remain the most underrepresented in college enrollment.
- 41% of adults have an associate degree or higher with attainment rates varying significantly by race.
- Educational revenue per student increased due to rising tuition but appropriations per student remain below pre-recession levels.
- Tuition as a share of revenue increased nearly 10 percentage
Benchmarks: WICHE Region 2018 presents information on the West’s progress in improving access to, success in, and financing of higher education. The information is updated annually with the most recent data available, to monitor change over time and encourage its use as a tool for informed discussion in policy and education communities. https://www.wiche.edu/benchmarks
Similar to Transforming population and migration statistics: Emigration patterns of non-EU students (20)
Explore the importance of health and well-being measures in assessing individual and community health outcomes. Learn about the main concepts and terminology related to health indicators, social determinants of health and health disparities.
Explore economic relationships between the UK and other countries, the influence of multinational corporations and consumer trends using the World Trade Explorer and trade related data sets.
The document summarizes the agenda and presentations from the ONS Economic Forum. It includes summaries on the state of the UK economy by the ONS Chief Economist highlighting a slight rise in GDP in January but broadly flat on the quarter. It also includes summaries on owner-occupier housing costs in household cost indices and progress on transforming R&D statistics at ONS. The forum provided insights into the UK economic outlook, drivers of inflation, and improvements in key economic indicators and statistics.
The document summarizes an economic forum held by the Office for National Statistics (ONS). It includes presentations on:
- The state of the UK economy, which entered a mild recession in late 2023 while living standards declined. Core inflation remains elevated despite some easing of pressures.
- Labour market data from the Labour Force Survey, which was recently reweighted. This increased population and employment estimates. Rates were also impacted but trends remain clear.
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The document summarizes findings related to average hours worked in the UK economy from 1998 to 2022. Key points:
- Average weekly hours worked have decreased for all workers and men, but increased for women over this period.
- The decline in average hours worked partially explains decreases in employment since the pandemic.
- Compositional changes, including a growing share of female and older workers who tend to work fewer hours, explain part of the decline in average hours worked overall.
The document summarizes an event discussing developments beyond GDP metrics for measuring societal progress. It includes the agenda for the event, which has presentations on the UN's 2022 Beyond GDP report, the work of the UN Network of Economic Statisticians, and the European Horizon Project. The event aims to discuss international frameworks and initiatives for developing metrics beyond GDP to provide a more holistic assessment of societal progress.
The document summarizes an economic forum hosted by the Office for National Statistics (ONS). It includes an agenda with presentations on various topics including public service productivity, transforming price statistics, the state of the UK economy, trends in business dynamism and productivity, and the System of National Accounts 2025. The forum provided an opportunity for the ONS to share updates on key economic statistics and receive feedback.
- The ONS Economic Forum discussed the state of the UK economy and labour market.
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This document summarizes the agenda and presentations for the ONS Economic Forum. The agenda included welcome and introduction by Sumit Dey-Chowdhury, a presentation on the state of the UK economy by Mike Keoghan, a presentation on the role of labour costs and profits in UK inflation by Stefan Ubovic, and presentations on experimental estimates of green jobs and provisional estimates of greenhouse gas emissions. The forum included discussions on recent inflation trends in the UK, the contributions of labour costs and profits to domestic inflation, estimates of employment in green industries, occupations and firms, and latest estimates of UK greenhouse gas emissions in 2022.
The document summarizes a presentation on measuring societal progress beyond GDP in the UK. It discusses how the Office for National Statistics is developing broader measures of economic welfare, well-being, and sustainability. These include measures of inclusive income and wealth that account for household production, human capital, the environment, and other factors not captured by GDP. The ONS is also reviewing and improving its measures of national well-being across domains like health, education, environment and developing a new well-being dashboard. The goal is to better inform policymaking by measuring what makes life worthwhile beyond economic outputs.
The document summarizes an event discussing recent UK economic data releases from the Office for National Statistics. It includes an agenda for presentations on the latest GDP data and revisions, trade and balance of payments data, and the ONS approach to measuring GDP. The presentations provide details on revisions to GDP estimates from 1997 to 2021, improvements in measuring globalization and other factors, and explain that revisions are common due to updated data sources and balancing different estimates.
This presentation covers the key question: Why dashboards? Local authorities and other public bodies have largely ended publishing reports and now produce dashboards. What are the factors that have contributed to this change?
This is the first presentation from our Workshop on 21 September 2023 on Dashboards, APIs and PowerBI.
This document summarizes an economic forum hosted by the Office for National Statistics (ONS). The agenda includes welcome remarks, presentations on the state of the UK economy, consumer price inflation persistence, and changes in labor costs and prices. There will also be a question and answer session. Presenters will discuss revisions to GDP estimates, inflation trends, labor market tightness, and how businesses are passing on higher input costs to consumers. The forum aims to provide insights into key economic indicators and price pressures in the UK.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Digital Marketing Performance Marketing Sample .pdf
Transforming population and migration statistics: Emigration patterns of non-EU students
1. Transforming population and migration statistics
Case Study: Emigration patterns of non-EU students
Centre for International Migration
Published: 30th January 2019
Coverage: England and Wales, academic year 2015/16 and 2016/17 and Exit Checks data covering August 2015 – December 2017
1
These Research Outputs refer to non-EU international students in HESA data
who have been linked to Home Office Exit Checks data, and are not Official
Statistics. These research outputs must not be interpreted as an indicator of
the numbers of international students departing from England and Wales, or
as a representative sample of all departing students.
Key messages
• This slide pack sets out early experimental analysis of linked Higher
Education Statistics Agency (HESA) and Home Office Exit Checks data.
• We linked around 80% of HESA records with a course end date
between August 2015 and July 2017, for non-EU students to Home
Office Exit Checks data.
• Most non-EU students departed long term at the end of their studies
(around 70%). 26% of each cohort extended their stay in the UK, or
departed short-term and returned on a long-term visa
• New analysis of linked HESA and Home Office Exit Checks data for
England and Wales indicates that 10% of graduating non-EU students
that emigrated long-term left within a week of their course end date
(either a week before or a week after).
What can linking HESA and Home Office Exit Checks data tell us about departure patterns and length of
stay of non-EU students at the local authority level?
Source: ONS analysis of linked HESA and Home Office Exit Checks data
Analysis of length of time between course end date and last
departure recorded in Exit Checks data, as a proportion of
students who emigrated long-term
0
5
10
15
20
25
-Morethan12
-12
-11
-10
-9
-8
-7
-6
-5
-4
-3
-2
-1week-1month
-upto1week
+upto1week
+1week-1month
+2
+3
+4
+5
+6
+7
+8
+9
+10
+11
+12
+Morethan12
%
15/16
16/17
2. What are Tier 4 (sponsored study) visas, and how
many are granted each year?
Tier 4 (sponsored study) provides a route for students to study
with an approved education provider. Tier 4 of the points based
system (PBS), which provides a route for students to study with
an approved education provider, was implemented from 31
March 2009, replacing previous entry routes for study.
In year ending June 2018, 154,000 Tier 4 visas were granted for
long-term study.
Quarterly and annual statistics published by the Home
Office1 relating to those non-European Economic Area (EEA)
coming to the UK for study are available. These figures include
both long and short term immigrants.
1 https://www.gov.uk/government/statistics/immigration-
statistics-year-ending-june-2018
2
Background
This case study aims to build on our earlier research into international
student migration. We have used Home Office administrative data to
understand non-EU students’ departure patterns and length of stay at
the local authority level.
Data sources 1. Higher Education Statistics Agency (HESA) student records
2. Home Office Exit Checks data
Time period HESA academic years - 2015/16 and 2016/17
Exit Checks data for visas expiring between August 2015 and December 2017
Population of interest HESA: Two cohorts of non-EU students (identified by nationality) registered at Higher Education
Institutions (HEI) in England and Wales in 2015/16 and 2016/17.
Exit Checks: Two cohorts of non-EU nationals on Tier 4 student visas studying at England and Wales
HEIs and identified as usually resident whose visas where due to expire in 2015/16 and 2016/17
Methodology See slide 13
Things you need to know See slide 14
Other research into movement of international students
• The Migration Advisory Committee (MAC) have published a report on the impact of
international students in the UK, exploring how they impact the economy, educational
institutions, domestic students, and wider communities.
• ONS have published a research output investigating what international students do after
completing their studies.
• The 2017 CPC-ONS-UUK Survey of Graduating International Students (SoGIS) analysed
patterns of working for international students approaching course completion, mainly
focused on those studying postgraduate degrees. A follow up survey was undertaken in
2018.
• Department for Education (DfE) published time-series data showing international
graduate outcomes 2006-2016 based on their Longitudinal Education Outcomes dataset.
Links to all of this work can be found on slide 14
3. 3
HESA Student data Home Office Exit
Checks data
Unlinked HESA students
HESA records that could not be linked to Exit Checks using
1-1 matches. More detail about who these residuals are
presented on the next slide.
Linked data – HESA graduating non-EU students
linked to Exit Checks data.
We are still developing our data linkage methods but we wanted to
show early progress. This analysis is based on 1-1 matches, therefore
we will be missing potential links. Match rates are presented on the
next slide.
Background
Unlinked Exit Checks
records
Exit checks records that could
not be linked to HESA using
1-1 matches. More detail
about who these residuals are
presented on the next slide.
All those on a study visa
sponsored by an
institution in HESA
All non-EU students who
should require a visa to
study and therefore
should be on Exit
Checks
4. How we linked the data
HESA and Exit Checks data do not share a common unique identifier such as National Insurance number, NHS number or
passport number. The linkage between HESA and Exit Checks data was done using the ONS matchkeys methodology1 to produce
1-1 matches.
1 - http://www.ons.gov.uk/ons/about-ons/who-ons-are/programmes-and-projects/beyond-2011/reports-and-publications/beyond-2011-matching-anonymous-data--m9-.pdf
Our matching produced a high level of links. We linked 80% of records for non-EU students in HESA for 2015/16 and 74% of records for
2016/17. 20% and 26% of records for non-EU students were not linked to the Exit Checks data. This may be due to linkage error (i.e. should
have matched, but didn’t) or they were not captured in the Exit Checks data (for example, they may have departed before the Exit Checks
program started in April 2015, departed via the Common Travel Area, or for other reasons as reported in our analysis of international students
using Exit Checks data 2).
2 - https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/articles/whatshappeningwithinternationalstudentmigration/2017-08-
24
Match rate 2015/16
(%)
2016/17
(%)
HESA records linked to
Exit Checks data
80 74
050000 Linked HESA and Exit Checks Unlinked HESA records
Analysis
Our analysis only includes non-EU nationals on Tier 4 study visas who are studying in England and Wales for 12 months or more (identified
on the Exit Checks data) who linked to the HESA data. These account for 62% of all matched records. The remaining 38% of matched records
excluded from our analysis tended to be similarly aged and more mature. We plan further exploratory research into this group.
0
10,000
20,000
30,000
40,000
50,000
Under 15 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65+
Count
Linked HESA and Exit Checks Males Unlinked HESA records Males Linked HESA and Exit Checks Females Unlinked HESA records Females
The chart below shows the age and sex distribution for linked HESA and Exit
Checks records and also unlinked HESA records for the 2016/17 cohort for our
population of interest.
These distributions look broadly similar, but a large number of non-EU students have
not linked to Exit Checks data and will be under-represented in our linked dataset.
Further work is being done to look at other characteristics, such as nationality
5. 5
13% of non-EU national
graduating students in 2016/17
HESA data are missing Term-
Time Local Authority (TTLA)
information (compared to 5% of
graduating UK national students).
These charts show that part-time
and dormant non-EU students are
more likely to be missing a TTLA
compared to other study modes.
Examination of missingness by
course stage suggests that for
those on multi year courses, final
year students are more likely to be
missing TTLA information than
students earlier in their studies
(i.e. those in first year or middle
years of multi year courses),
where a course stage is known.
Using HESA data on term-time local authority to understand where graduating non-EU students are leaving
from, England and Wales
The quality of key variables in the HESA data is crucial for
understanding where graduating non-EU students leave
from; so our findings must be seen in the context of levels of
missingness for TTLA.
These distributions are based on all HESA records for our
population of interest, whereas our linked data covers those
in their last year of study (contained in groups 1, 2, 5 and
potentially 9 in the above chart).
Our linked data have lower levels of missingness for TTLA
compared to all HESA records for non-EU graduating
students.
Number of records
missing TTLA
Proportion of
records missing
TTLA
15/16 16/17 15/16 16/17
HESA only 21,000 23,000 12% 13%
Linked HESA-Exit
Checks
5,000 5,000 5% 6%
TTLA = Term time Local Authority, the area HESA records the student as living.
Dormant = Students who have suspended study, but have not formally deregistered.
0
5
10
15
20
25
30
35
40
45
%
Percentage of non-EU
students missing term time
LA by study mode (16/17)
0
10
20
30
40
50
60
70
80
90
1 - Course
academic
year
contained
within the
HESA
reporting
period 1
August - 31
July
2 - Course
academic
year not
contained
within the
HESA
reporting
period 1
August - 31
July
3 - Student
commencing
a course
running
across
HESA
reporting
years.
4 - Student
mid way
through a
course
running
across
HESA
reporting
years.
5 - Student
finishing a
course
running
across
HESA
reporting
years.
9 - Not
known.
%
Percentage of non-EU students missing term
time LA by course stage (16/17)
Source: ONS analysis of HESA data,
England & Wales Source: ONS analysis of HESA data, England & Wales
6. Outcomes for two cohorts of graduating non-EU students in the linked HESA and Exit
Checks data show that the majority departed long-term
Our linked data shows that the majority of students in
the two cohorts (71% and 70% respectively)
departed long-term.
A further 26% in each cohort respectively extended
their stay in the UK, or departed short-term and
returned on a new long-term visa.
This supports previous analysis reported in August
2017 and July 2018.
Source: ONS analysis of linked HESA and Home Office Exit Checks data
Status of two cohorts of graduating non-EU students in the linked HESA and
Exit Checks data, England and Wales
This analysis is based on two cohorts of graduating non-EU students in the linked HESA and Exit Checks data.
We linked a further 12 months of travel event data to examine, for these cohorts, who returned within 12 months of their last
departure.
From this we are able to identify those who departed long-term (did not return within 12 months or are assumed not to have
returned as the evidence of a return is inconclusive), those who returned within 12 months and stayed long-term or on a short-
term visit visa and those with no initially identified departure, or evidence of departure is inconclusive.
No initially identified departure in the Exit Checks data, may be due to non-matching of individuals, departure via the Common
Travel Area or other reasons, as well as those who left before April 2015. Further details of the possible reasons for non matching
were detailed in the Home Office’s report on Exit Checks data.
0
10
20
30
40
50
60
70
80
Departed long-term Extended leave to remain
or returned on new long-
term visa
Departure not initially
identified or departure date
is missing in Exit Checks
%
15/16 16/17
7. The majority of graduating non-EU students in our two cohorts departed England and
Wales within 4 months of the course end date reported in the HESA data
Our linked data allows us to look
at whether non-EU students
leave before or after their course
end date reported in HESA data.
Tier 4 student visas allow up to
4 months leave after course end
date (dependant on course
length), which enables students
to attend graduation or look for
work, and therefore will not
exactly match HESA course
start and end dates.
10% leave within a week of their
course end date.
A further 24% leave between 1
week and 1 month of their
course end date.
This analysis is based on those
who were identified as having
departed in the Exit Checks data
and excludes those who
extended their leave to remain
for study or other reasons
Source: ONS analysis of linked HESA and Home Office Exit Checks data
Analysis of length of time between course end date and last departure
recorded in Exit Checks data , as a proportion of students that emigrated
long-term
In the above chart, a negative time period indicates that the last recorded departure date was before a course
end date. A positive time period indicates that the last recorded departure date was after a course end date.
This analysis is based on non-EU students who departed long-term (12 months or more) in the linked dataset.
Long-term departures are identified in Exit Checks data as those students who didn’t return within 12 months of
their last departure date or returned within 12 months of their last departure date for a short period lasting less
than 12 months.
This analysis is not representative of all non-EU students who departed long-term as some may have had a
visa expiry date before our period interest or after our period of interest. In addition, instances of students
departing more than 4 months after their course end date may be due to the incorrect leave instance in the Exit
Checks data being assigned to a HESA study instance. We have plans to investigate this further.
0
5
10
15
20
25
%
15/16
16/17
8. Using linked HESA and Home Office administrative data to understand graduating
non-EU student departure patterns for local authority areas
The aim of this exploratory research is to explore the departure patterns for graduating non-EU students at a local authority level. We are only able to do this
for the linked dataset, which is not fully representative of all graduating non-EU students at a local authority level.
There is more work for us to do to understand the residuals in the HESA and Exit Check data linkage for our population of interest, and whether it is possible
to identify if they departed (HESA residuals) and where they departed from (Exit Checks residuals/HESA data with no term-time local authority data). This
analysis and further improvements to our initial linkage will inform our future work to look at the feasibility of producing emigration and immigration estimates
for non-EU international students at subnational and local levels.
We have shown here, for illustrative purposes only, what may be possible once this further work has been done. In this example we show, for a university’s
local authority, likely departure patterns for graduating non-EU students, based on our linked dataset.
Status of two cohorts of graduating non-EU students in
the linked HESA and Exit Checks data, Local Authority A
Source: ONS analysis of linked HESA and Home Office Exit Checks
data
Source: ONS analysis of linked HESA and Home Office Exit Checks data
Analysis of length of time between course end date and last departure
recorded in Exit Checks data, as a proportion of students who
emigrated long-term, Local Authority A
0
10
20
30
40
50
60
70
80
Departed long-term Extended leave to
remain or returned on
new long-term visa
Departure not initially
identified or departure
date is missing in Exit
Checks
%
15/16 16/17
0
5
10
15
20
25
30
35
-12ormore
-11
-10
-9
-8
-7
-6
-5
-4
-3
-2
-8-30days
-7days
+7days
+8-30days
+2
+3
+4
+5
+6
+7
+8
+9
+10
+11
+12
+12ormore
%
15/16 16/17
9. Using linked HESA and Home Office Exit Checks data has also allowed us to examine how
much time non-EU students spend in England and Wales over a 16 month period
• Our linked data allows us to test the
assumption that appearing on HESA data is
evidence that an international migrant is
actually residing in England and Wales.
• Our analysis has shown that a large
proportion (47%) of students spend
between 300-400 days in the England and
Wales during their first 14 months of study
within a 16 month period.**
• The median (shown as the purple bar in the
chart) lies at 331-340 days, which is less
than a year.
• This analysis is useful for informing the
work we are undertaking to look at the
different conceptual definitions for
international migration (long-term, short-
term or circular patterns of movement).
0
2000
4000
6000
8000
10000
12000
14000
16000
0-10
21-30
41-50
61-70
81-90
101-110
121-130
141-150
161-170
181-190
201-210
221-230
241-250
261-270
281-290
301-310
321-330
341-350
361-370
381-390
401-410
421-430
441-450
461-470
481-490
Number of
linked students
Number of days in UK within 16 month period of interest
Source: ONS analysis of linked HESA and Home Office Exit Checks data
** This analysis is based on the linked
dataset only and will not be representative of
all non-EU first year students.
We chose to look at length of stay over a 16
month period to validate other analysis we
are doing to produce estimates of non-EU
long-term immigration using a rule that a
migrant must be present for 12 out of 16
months to be a long-term migrant.
Time spent in England and Wales, non-EU first year students studying
at Higher Education Institutions in England and Wales
10. Putting administrative data at the core of our evidence on international migration (UK) and on
population (England and Wales) by 2020
The findings from this case study provide important insights that
will be key to the successful development of a population and
migration statistics system based on administrative data
sources.
Future analysis of the patterns of international migrants’
interactions with these datasets will also inform statistics on
other migration-related topics such as the impact of international
students.
Next steps
To continue our research into travel
patterns and length stay for non-EU study
migration, using Exit Checks data in
collaboration with Home Office experts.
It provides evidence for:
• Development of a Statistical Population Dataset from linked
administrative data
Linking HESA data to Exit Checks data can confirm usual
residence status and also identify potential over- or under-
coverage in these data sources. So far, our linkage has shown
that some female non-EU students may be under-represented
in our current extract of Home Office Exit Checks data.
• Development of rules for stocks and flows approaches
Exit Checks are a key data source for a flows based population
model. Using these data together, we are be able to identify
when non-EU students arrived and departed and understand
the complexity of travel patterns.
‘Signs of activity’ analysis show total number of days stayed by
international students. This will inform thinking around concepts,
rules and definitions to identify this group in stocks or flows.
11. Covered Gaps
Geographical Coverage • Government funded Higher Education
Institutions (HEIs) in England and Wales
• Other Government funded HEIs in
the UK
Patterns of movement • Departures at local authority or regional level
for linked dataset where term-time postcode is
known
• Time spent in the UK for non-EU students on
Tier 4 study visas (first year students)
• Departures at local authority or
regional level for residuals
• Immigration at local authority or
regional level
• Time spent in UK for non-EU
students on Tier 4 study visas
(other years). Further analysis by
course type, study location and
course length.
• Extend to EU nationals when data
become available
Population of interest • Non-EU students (identified by nationality)
registered at Government funded HEIs. Non-
EU nationals on Tier 4 student visas studying
at England and Wales HEIs and identified as
usually resident.
• Extend to EU nationals when data
become available
Completing the picture
12. • Continue our collaboration with Home Office experts to better
understand Home Office administrative data.
• Build on existing linkage to produce a linked dataset that can be used
for statistical purposes. This will involve further improvements to our
linkage process and understanding of residuals.
• Building on the above, explore the feasibility of producing estimates of
student emigration and immigration at a sub-national, regional and local
authority level.
• Once acquired by ONS, link HMRC PAYE Real Time Information (RTI)
to Exit Checks data for more granular analysis of non-EU migrants on
non-study visas (e.g. skilled work) and their patterns of movement and
impact on economy.
• Also explore linking RTI data to HESA-Exit Checks cohort data for
further granular analysis looking at movements of students who extend
into skilled work routes.
• Develop methods to identify, classify and analyse different types of
international migrants using these linked data sources.
Next steps
13. 13
Things you need to know
The Home Office Exit Checks programme, introduced in April 2015, was designed primarily for operational (immigration control)
purposes, and collected data on non-EU nationals departing from and arriving in the UK. The Initial Status Analysis system, developed
by the Exit Checks programme, is a linked database that combines data from Home Office systems to build travel histories that consist of
an individual's travel in or out of the country, together with data relating to immigration status e.g. periods of leave granted. This
combined data is used by the Home Office for operational and security purposes in the assessment of an individual’s immigration status.
Statistics are derived by integrating and matching data from multiple administrative systems, including (via carriers) passenger data,
passport scans at the border, and from immigration records. Producing statistics from these multiple sources presents a range of
challenges. Nevertheless, it has been possible to produce useful statistical insights and practical operational benefits for the Home Office
and to help ONS better understand non-EU migration patterns.
To analyse Exit Checks data, it is necessary to bring together, match and assess multiple individual events from different data systems to
produce an ‘identity’. The resultant dataset is termed the ‘Initial Status Analysis’. An example of these relationships is shown below.
14. Things you need to know
• Disclaimer: These Research Outputs on non-EU international student departure patterns and length of stay are not
Official Statistics.
• Rather, they are published as outputs from exploratory research to show users of international migration statistics where we
are on our transformation journey to put administrative data at the core of our evidence on international migration (UK) and on
population (England and Wales) in 2020.
• These research outputs must not be interpreted as an indicator of the numbers of international students departing
from England and Wales, or as a representative sample of all departing students.
• These research outputs are based on experimental analysis of linked HESA and Home Office Exit Checks data. We are still
developing methods, therefore the numbers or proportions reported here may change in future reporting on our journey to put
administrative data at the core of our evidence on international migration (UK) and on population (England and Wales) by
2020.
• It is important that the information and research presented here be read alongside the population and migration statistics
transformation update report to aid interpretation and avoid misunderstanding.
• These research outputs must not be reproduced without this disclaimer and warning note.
Other research into movement of international students
• The Migration Advisory Committee (MAC) have published a report on the impact of international students in the UK, exploring
how they impact the economy, educational institutions, domestic students, and wider communities.
• ONS have published a research output investigating what international students do after completing their studies.
• The 2017 CPC-ONS-UUK Survey of Graduating International Students (SoGIS) analysed patterns of working for international
students approaching course completion, mainly focused on those studying postgraduate degrees. A follow up survey was
undertaken in 2018.
• Department for Education (DfE) published time-series data showing international graduate outcomes 2006-2016 based on their
Longitudinal Education Outcomes dataset.
15. Contact Us
We would welcome your feedback on the exploratory research
presented here. Please get in touch at:
Email: pop.info@ons.gov.uk
Tel: 01329 444661
16. Further Links
Go back to: An update on our population and migration statistics transformation journey: A research
engagement report
Explore our other case studies on SlideShare
Transforming population and migration statistics: Administrative data-based population stocks and
flows
Transforming population and migration statistics: International student employment activity
Transforming population and migration statistics: Benefits and income activity patterns
Transforming population and migration statistics: NINo and NHS registration lags
Transforming population and migration statistics: Patterns of circular movement into the UK