Interested parties can now request extracts of data from the NPD using an improved application process accessed through the following website; GOV.UK The first version of the NPD, including information from the first pupil level School Census matched to attainment information, was produced in 2002. The NPD is one of the richest education datasets in the world holding a wide range of information about pupils and students and has provided invaluable evidence on educational performance to inform independent research, as well as analysis carried out or commissioned by the department. There are a range of data sources in the NPD providing information about children’s education at different phases. The data includes detailed information about pupils’ test and exam results, prior attainment and progression at each key stage for all state schools in England. The department also holds attainment data for pupils and students in non-maintained special schools, sixth form and further education colleges and (where available) independent schools. The NPD also includes information about the characteristics of pupils in the state sector and non-maintained special schools such as their gender, ethnicity, first language, eligibility for free school meals, awarding of bursary funding for 16-19 year olds, information about special educational needs and detailed information about any absences and exclusions. Extracts of the data from NPD can be shared (under strict terms and conditions) with named bodies and third parties who, for the purpose of promoting the education or well-being of children in England, are:- • Conducting research or analysis • Producing statistics; or • Providing information, advice or guidance. The department wants to encourage more third parties to use the data for these purposes and produce secondary analysis of the data. All applications go through a robust approval process and those granted access are subject to strict terms and conditions on the security, handling and use of the data, including compliance with the Data Protection Act. Anyone requesting access to the most sensitive data will also be required to submit a business case. More information on the application process including the User Guide, Application Form, Security Questionnaire and a full list of data items available can be found from the NPD web page at:- https://www.gov.uk/national-pupil-database-apply-for-a-data-extract

The purpose of this statistical release is to present an analysis of examination performance for pupils in year 12 and year 14 at post-primary schools in Northern Ireland. The data are taken from the Summary of Annual Examination Results (SAER) process, which collates and validates data with schools.

Source agency: Education (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: SAER

In the United Kingdom in 2024, *** percent of female students and *** percent of male students achieved an A* grade in their A-Level entries. The most common grade for both male and female students was a B grade, achieved by **** percent of females, and **** percent of male students.

In 2024, 9.3 percent of students in the United Kingdom achieved the highest possible grade (an A*) in their A-Levels, with more than a quarter of entries achieving an B, the most common individual grade level in this year. Grades in 2020 and 2021 were generally a lot higher than in previous years due to the different grading circumstances brought on by the COVID-19 pandemic.

Key Stage 2 (KS2) data for year 6 primary school pupils who met or exceeded the Expected Standard (EXS+) by School Ward for the period 2016 onwards. The data is by school location, rather than by pupil residence. In determining, which ward the data relates to, a Schools list by wards is available. The data source is the National Consortium of Examination Results (NCER) but the figures come from the Department of Education (DfE). A summary of Calderdale school performance can be found on the Council website: School performance tables. School performance for individual schools can be found at Compare school performance. Please note some DFE numbers might have changed please see previous DFE code on Schools list.

These data are gathered as part of the Summary of Annual Examination Results exercise. This exercise takes place between May and December of each year and collects information on the examination performance of post-primary pupils in Year12 and Year 14 in Northern Ireland.

GCE/VCE/Applied A/AS and Equivalent Examination Results (Level 3) for Young People by Gender in England (Referenced by Location of Student Residence).

The figures presented here provide information on the overall achievements of young people in GCE/VCE/Applied A Levels and VCE/Applied Double Awards and Level 3 qualifications equivalent in size to at least one GCE/VCE/Applied A Level in 2007/2008 and who are resident in England.

Unlike Key Stage 4, there is no exclusion of pupils recently arrived from overseas from the local and regional averages.

The Qualifications and Curriculum Authority (QCA) points allocated to Level 3 qualifications can be viewed at the National Database of Accredited Qualifications http://www.accreditedqualifications.org.uk/index.aspx

Available to Lower Layer Super Output Area (LSOA).

Information can only be reproduced if the source is fully acknowledged.

See more on the ONS NESS website.

These data are gathered as part of the Summary of Annual Examination Results exercise. This exercise takes place between May and December of each year and collects information on the examination performance of post-primary pupils in Year12 and Year 14 in Northern Ireland.

Year 1 (Y1) primary school pupils phonics data who met the Expected Standard for Phonics by School Ward for the period 2013 onwards.The data is by school location, rather than by pupil residence. In determining, which ward the data relates to, a Schools list by wards is available. The data source is the National Consortium of Examination Results (NCER).

A summary of Calderdale school performance can be found on the Council website: School performance tables. School performance for individual schools can be found at Compare school performance.

Please note some DFE numbers might have changed please see previous DFE code on Schools list.

Driver Test Pass Rates for Cars by Test Centre in Northern Ireland.

Early Years Foundation Stage Profile (EYFSP) data for reception aged primary school pupils who met Good Level of Development (GLD) Standard by School Ward for the 2013 onwards. The data is by school location, rather than by pupil residence. In determining, which ward the data relates to, a Schools list by wards is available. The data source is the National Consortium of Examination Results (NCER). A summary of Calderdale school performance can be found on the Council website: School performance tables. School performance for individual schools can be found at Compare school performance. Please note some DFE numbers might have changed please see previous DFE code on Schools list.

The Labour Market Indicators spreadsheet for boroughs and regions will no longer be updated from March 2015. The final version from March 2015 will still be available to download at the bottom of this page. Most of the data is available within datasets elsewhere on the Datastore.

Workforce Jobs
Unemployment
Model based Unemployment for Boroughs
Claimant Count rates for Boroughs and Wards
Employment Rate Trends
Employment rates by Gender, Age and Disability
Number of Self Employed, Full and Part Time Employed
Employment by Occupation
Employment by Industry
Employment, Unemployment, Economic Activity and Inactivity Rates by Disability
Employment by Ethnicity
Economic Inactivity by Gender and Reason
Qualifications of Economically Active, Employed and Unemployed
Qualification levels of working-age population
Apprenticeship Starts and Achievements
Young People Not in Employment, Education or Training (NEET), Borough
19 year olds Qualified to NVQ Level 3
GCE A level examination results of 16-18 year olds
GCSE Results by Pupil Characteristics
People Claiming Out-of-Work Benefits
People Claiming Incapacity Benefit
Children Living in Workless Households
Gross Value Added, and Gross Disposable Household Income
Earnings by place of residence
Earnings by place of work
Business Demographics
Employment projections by sector
Jobs Density
Population Estimates
Population Migration

Core Indicators

Number of London residents of working age in employment
Employment rate
Number of male London residents of working age in employment
Male employment rate
Number of female London residents of working age in employment
Female employment rate
Workforce jobs
Jobs density
Number

OverviewWater companies in the UK are responsible for testing the quality of drinking water. This dataset contains the results of samples taken from the taps in domestic households to make sure they meet the standards set out by UK and European legislation. This data shows the location, date, and measured levels of determinands set out by the Drinking Water Inspectorate (DWI).Key Definitions  AggregationProcess involving summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes  Anonymisation Anonymised data is a type of information sanitisation in which data anonymisation tools encrypt or remove personally identifiable information from datasets for the purpose of preserving a data subject's privacy Dataset Structured and organised collection of related elements, often stored digitally, used for analysis and interpretation in various fields.  Determinand A constituent or property of drinking water which can be determined or estimated. DWI Drinking Water Inspectorate, an organisation “providing independent reassurance that water supplies in England and Wales are safe and drinking water quality is acceptable to consumers.”  DWI Determinands Constituents or properties that are tested for when evaluating a sample for its quality as per the guidance of the DWI. For this dataset, only determinands with “point of compliance” as “customer taps” are included.   Granularity Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours ID Abbreviation for Identification that refers to any means of verifying the unique identifier assigned to each asset for the purposes of tracking, management, and maintenance.  LSOA Lower-Level Super Output Area is made up of small geographic areas used for statistical and administrative purposes by the Office for National Statistics. It is designed to have homogeneous populations in terms of population size, making them suitable for statistical analysis and reporting. Each LSOA is built from groups of contiguous Output Areas with an average of about 1,500 residents or 650 households allowing for granular data collection useful for analysis, planning and policy- making while ensuring privacy.  ONS Office for National Statistics  Open Data Triage The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.  Sample A sample is a representative segment or portion of water taken from a larger whole for the purpose of analysing or testing to ensure compliance with safety and quality standards.  Schema Structure for organizing and handling data within a dataset, defining the attributes, their data types, and the relationships between different entities. It acts as a framework that ensures data integrity and consistency by specifying permissible data types and constraints for each attribute.  Units Standard measurements used to quantify and compare different physical quantities.  Water Quality The chemical, physical, biological, and radiological characteristics of water, typically in relation to its suitability for a specific purpose, such as drinking, swimming, or ecological health. It is determined by assessing a variety of parameters, including but not limited to pH, turbidity, microbial content, dissolved oxygen, presence of substances and temperature.Data HistoryData Origin  These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database.Data Triage Considerations Granularity Is it useful to share results as averages or individual? We decided to share as individual results as the lowest level of granularity Anonymisation It is a requirement that this data cannot be used to identify a singular person or household. We discussed many options for aggregating the data to a specific geography to ensure this requirement is met. The following geographical aggregations were discussed: • Water Supply Zone (WSZ) - Limits interoperability with other datasets • Postcode – Some postcodes contain very few households and may not offer necessary anonymisation • Postal Sector – Deemed not granular enough in highly populated areas • Rounded Co-ordinates – Not a recognised standard and may cause overlapping areas • MSOA – Deemed not granular enough • LSOA – Agreed as a recognised standard appropriate for England and Wales • Data Zones – Agreed as a recognised standard appropriate for Scotland Data Triage Review Frequency Annually unless otherwise requested Publish FrequencyAnnuallyData Specifications • Each dataset will cover a year of samples in calendar year • This dataset will be published annually • Historical datasets will be published as far back as 2016 from the introduction of The Water Supply (Water Quality) Regulations 2016 • The determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate. • A small proportion of samples could not be allocated to an LSOA – these represented less than 0.1% of samples and were removed from the dataset in 2023. • The postcode to LSOA lookup table used for 2022 was not available when 2023 data was processed, see supplementary information for the lookup table applied to each calendar year of data. Context Many UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset. Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. Some samples are tested on site and others are sent to scientific laboratories.Supplementary informationBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.   1. Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/   2. LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf   3. Description for LSOA boundaries by the ONS: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies4. Postcode to LSOA lookup tables (2022 calendar year data): https://geoportal.statistics.gov.uk/datasets/postcode-to-2021-census-output-area-to-lower-layer-super-output-area-to-middle-layer-super-output-area-to-local-authority-district-august-2023-lookup-in-the-uk/about   5. Postcode to LSOA lookup tables (2023 calendar year data):  https://geoportal.statistics.gov.uk/datasets/b8451168e985446eb8269328615dec62/about6. Legislation history: https://www.dwi.gov.uk/water-companies/legislation/