This datasets contains the boundaries of the areas of first priortiy for secondary schools. Each school is given an area of priority and children that live within that area are given priority placement in that school.

This project investigated UK secondary school students’ views of inequality and their sense of agency concerning their occupational prospects, using questionnaire and interview data. The data came from 78 students from three secondary schools in England between Year 7 and Year 13 who were aged between 12 and 19. The three schools were in areas with different socioeconomic characteristics – an affluent town in the London commuter belt (School A), a city in the east of England (School B) and a town to the east of London (School C). School A had a lower than national average free school meals (FSM) rate, whereas both School B and School C had a higher than national average FSM rate. 18 participants were from School A, 38 from School B and 22 from School C. While all 18 students in School A and all 22 students in School C participated in both the questionnaire and follow-up interview stages, in School B 37 participants filled in the questionnaire and, of these, 22 took part in the interviews. One student from School B who did not fill in a questionnaire took part in the interview, making the total interviews from School B 23. One student from School C did not want to have their interview audio-recorded; therefore, their interview transcript does not exist. As a result, the dataset in total contains 77 questionnaires and 62 interview transcripts. The PDF files are questionnaire files and the word document files are interview transcripts. A file name (for both the pdf files and word document files) begins with ‘Y’ that is followed by a number which indicates a school year and this is followed by two letters that indicate a code for an individual participant, while the letter A, B or C immediately after a hyphen indicates School A, B or C respectively.

This dataset is published as Open Data and replaces any previously published dataset.Information about Scottish schools are updated by the Scottish Government annually for the purposes of monitoring overall performance, equality and individual policies. This dataset provides the current geocoded location, contact address, roll numbers, teacher numbers, denomination, and proportion of pupils from minority and ethnic groups for each primary, secondary and special school in Scotland. Until 2019, these updates were reflective of the previous September. The SG School Roll 2023 is reflective of the July 2023 schools locations data (published 25th September 2023) and July 2023 school roll, FTE teachershttps://www.data.gov.uk/dataset/9a6f9d86-9698-4a5d-a2c8-89f3b212c52c/scottish-school-roll-and-locations

Total number of school places, which includes sixth form places and excludes nursery places, reported by local authorities. File also includes number of pupils on roll from the May School Census; the number of schools at or in excess of capacity and the number of pupils in places that exceed their school's capacity; the number schools with one or more unfilled places and the number of unfilled places.

United Kingdom UK: Secondary Education: Pupils: % Female data was reported at 49.596 % in 2015. This records a decrease from the previous number of 49.805 % for 2014. United Kingdom UK: Secondary Education: Pupils: % Female data is updated yearly, averaging 49.195 % from Dec 1971 (Median) to 2015, with 45 observations. The data reached an all-time high of 49.921 % in 2013 and a record low of 48.422 % in 1971. United Kingdom UK: Secondary Education: Pupils: % Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Education Statistics. Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Information about Scottish schools are updated by the Scottish Government annually for the purposes of monitoring overall performance, equality and individual policies. This dataset provides;the current geocoded location,contact address, roll numbers, teacher numbers, denominationUntil 2019, these updates were reflective of the previous September. The SG School Roll 2023 is reflective of the July 2023 schools locations data (published 25th September 2023) and July 2023 school roll, FTE teachers, proportion minority background, and proportion 20% most deprived data (published 19th March 2024).

Number of pupils on roll in Calderdale Secondary Schools (Academies and Local Authority Maintained Schools); the data source is the termly school census. Academy data is only available from October 2015 onwards. The dataset for Academies and Local Authority Maintained Schools is being published as one dataset from October 2016. May 2020 is missing because this census was cancelled by the government due to the Covid-19 pandemic. Other schools data

This dataset shows the priority cut off distances for all secondary schools that either follow the LA Admissions Policy because they are a Community Controlled School or are their own admitting authority school but follow the LA Admissions Policy completely. It also shows the priority cut off distances, in miles, for schools that have an element of distance in their own admissions policy. The spreadsheet also shows the admitted numbers under each priority of the LA Admissions Policy for those schools that follow the policy completely.

The dataset comes from The UK Office for National Statistics. It was explored in the July 2023 article "Why do children and young people in smaller towns do better academically than those in larger towns?".

Calderdale schools including status, type, principals / head teachers, address, website, number on roll as at May census, longitude and latitude, and eastings and northings. Routinely updated when notified of changes.

You can also search online for school details, maps, performance tables and ofsted reports - Search for Schools

Also see - School Clusters and Federations and Other schools data

Catchment areas for secondary schools in York.

For further information about secondary school catchment areas please visit the City of York Council website.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be inmediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

Gender-Based Average School Workforce in England

Exploring Differences within Geographic Levels, Grades, Types, and Ages

By Charlie Hutcheson [source]

About this dataset

This dataset contains information about the average school workforce in England for the 2019 reporting year. It includes gender, school type, grade, age category, geographic level and average mean of the school workforce in England. With this data we can gain insight into how different demographics are represented educationally across different locations. By analyzing this data we can start to better understand where educational disparities exist and how to bridge those gaps in order to make education more equitable and accessible for all students across England

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How to use the dataset

Let's take a look at what is included in this dataset. Each row represents an observation reporting year and includes columns for aspects of each observation such as location, geographic level, grade range/school type, age category, gender groupings and average mean (for full-time equivalents or FTEs). There is also a location code column that can be used as an identifier should users wish to separate observations geographically.

Some possible uses for this dataset include studying trends related to gender distribution within specific school populations or across different geographic regions. It can also be used to investigate patterns related to age categories or types of schools within a given location or region. You may even wish to compare overall averages among certain groups such as teachers versus support staff or high schools versus elementary schools across regions or groups within England.

In any case, with all variables considered one can generate some interesting insights about the demographics makeup of staff within an educational system and further research particular questions about its nature The possibilities are practically endless! Thanks for checking out our dataset; we hope that you find something useful during your exploration!

Research Ideas

• Investigating whether gender is a factor in the type of school workforce found in different locations
• Examining the average mean across varying school types, grades, and age categories throughout England
• Visualizing the geographic level of specific school workforces based on their location

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: data-school-workforce-in-england.csv | Column name | Description | |:---------------------|:---------------------------------------------------------------------------------| | location | The geographic location of the school. (String) | | location_code | The code for the geographic location of the school. (String) | | geographic_level | The geographic level of the school (e.g. county, region, etc.). (String) | | time_period | The time period for which the data was collected. (String) | | gender | The gender of the school workforce. (String) | | school_type | The type of school (e.g. maintained nursery, maintained primary, etc.). (String) | | grade | The grade level of the school. (String) | | age_category | The age category of the school workforce. (String) | | average_mean | The average mean salary of the school workforce. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Charlie Hutcheson.

Proportion of school aged children in full time education travelling to school by the mode of travel that they usually use. Mode of transport is defined as six modes: cars, including vans and taxis, car share, public transport, walking, cycling, and other.

Number of pupils with Special Education Needs in Calderdale Secondary Schools (Academies and Local Authority Maintained Schools); the data source is the termly school census. Academy data is only available from October 2015 onwards. The dataset for Academies and Local Authority Maintained Schools is being published as one dataset from October 2016. May 2020 is missing because this census was cancelled by the government due to the Covid-19 pandemic. Also see - Other schools data DfE Special Educational Needs (SEND) Report on LG Inform - report presents the statistics on SEND available for Calderdale, compared to comparison group of All English metropolitan boroughs.

In order to request access to this data please complete the data request form.* * University of Bristol staff should use this form instead. The PHIRST research team has worked in partnership with Hammersmith and Fulham colleagues from public health, children and adult services, to create an evaluation study that takes into account the priorities and concerns of all interested parties within the borough. It focuses on the following research questions: 1) Is UFSM feasible in secondary schools? 2) What is the impact of UFSM on student hunger, school attendance and behaviour, and food that is eaten in school? 3) What is the impact of UFSM on family finance and food security? 4) What do students, carers and school staff see as the reasons UFSM leads to these outcomes? 5) What are the things that help or prevent UFSM being delivered effectively in secondary schools? 6) Could UFSM in secondary schools be a cost-effective approach to addressing student hunger? We interviewed students, parents/carers, school staff and catering staff from the two schools receiving UFSM, and senior leaders in eight other secondary schools, ii) ran student surveys in the two UFSM schools and in two comparison schools, and iii) looked at information about student attendance, academic work and behaviour collected by the local authority and by schools before and after UFSM was introduced. We also worked with a group of student co-researchers in both UFSM schools. They advised on the content and format of our interviews and survey and helped us to plan observations of their school lunch times. These students did the observations themselves and shared their findings with the study team.

Number of pupils with English as an Additional Language (EAL) in Calderdale Secondary Schools (Academies and Local Authority Maintained Schools); the data source is the termly school census. The dataset for Academies and Local Authority Maintained Schools is being published as one dataset from October 2016. May 2020 is missing because this census was cancelled by the government due to the Covid-19 pandemic. Other schools data

The survey was undertaken on behalf of the Department for Education by NatCen. The survey took place in the Spring Term 2013, with telephone interviews completed with head teachers, acting head teachers and senior management team teachers in 202 primary schools and 202 secondary schools, 101 of which were Academies and 101 were maintained schools.

Data presented here is an extract of data published by The Scottish Government in March 2014. The data shows School contact details as at September 2013 including school roll, FTE teacher numbers, ethnic group proportions and denomination. The data also includes the proportion of pupils who live in the 20% most deprived data-zones in Scotland. The address and contact details have been sourced from an Openings and Closings exercise that took place in June 2013. The data has been filtered to provide contact details for schools in the Glasgow local authority area only. For information on schools that have opened or closed since January 2014 please email school.stats@scotland.gsi.gov.uk The data has been geocoded and coordinates have been added in WGS84 and OSGB36 projection formats. Contains Ordnance Survey data (c) Crown Copyright 2014. Licence: None school-contact-location-details.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/890346e1-d756-4fb8-b824-e48d3cc0924e/File/c8183da4-4c16-4d7b-84e8-421e1dbca76f/Version/3fb8f7d2-dc55-4cfd-9347-5362893aca9d schoolcontactdetails.geojson - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/890346e1-d756-4fb8-b824-e48d3cc0924e/File/9e165e2b-43be-4ae1-a78f-bdebab9596f0/Version/5bd4aca7-3209-4e04-bb8a-f2ac85d5c07a

This dataset contains information released by the Scottish Government relating to recorded attendance within Scottish Secondary Schools and accounts for half-day attendance figures. Information has been filtered to show Stirling Council schools.The data shown;Local Authority CodeLocal Authority NameSchool Seed CodeSchool NamePossible AttendanceAttendanceAttendance PercentageAuthorised AbsenceAuthorised Absence PercentageUnauthorised AbsenceUnauthorised Absence PercentageExclusionsExclusions Percentage

This is a point dataset compiled using the Department for Educations Schools in England dataset and has been published by Esri UK. This dataset is updated monthly. This point dataset is reflective of the December 2014 update showing the open schools for this month.

The points were created using OS Open Data.