This release combines the UK egg packing station survey, the UK egg processor survey, the egg laying element of the UK hatcheries survey, together with other DEFRA statistics, Intrastat trade data and EU data. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Egg Statistics Notice If you require the data in a more accessible format, please contact julie.rumsey@defra.gsi.gov.uk Data users: 1. The information in this notice is used by the UK government and the EU as evidence for assessing market conditions and evaluating agricultural policy. The farmgate price of UK eggs are required quarterly under Regulation EC 1165/2008 (Animal Production). 2. Representatives of the egg and poultry industry are also major users of the data. The data on egg production volumes and egg type are the key sector indicators for the British Egg Industry Council (BEIC) as they reflect the size of the national laying flock. The Home Grown Cereals Authority (HGCA), part of the Agricultural and Horticultural Development Board, rely on egg production data as a good indicator of the commercial layer flock and associated feed demand and hence grain usage by the sector. Our statistics are also often heavily referenced in industry publications such as “Poultry World”. Methodology: 3. Defra runs a quarterly survey of registered UK egg packing stations. It is a voluntary sample survey of 27 respondents that collects information on throughput by production type and prices of graded eggs and sales of ungraded eggs. The response rate is typically 100 per cent and the survey accounts for 75 per cent of eggs packed in the UK. The survey figures are raised up to give UK estimates using information on the number of commercial laying hens, average egg yields, average mortality rates, the proportion of UK eggs that go through packing stations. Throughput by egg type for packing stations not surveyed is calculated using data provided by packing stations responding to the survey. The raised figures are published in this statistics notice and the associated datasets. The figures in this notice therefore represent all Class A eggs passed over a grader in the UK, including seconds. The prices obtained on the survey are weighted according to the volume of eggs packed by each packing station to obtained average prices for the UK. From 2012, prices include any bonus payments paid to producers. The Egg Processor survey is a quarterly survey of all registered egg processors. It is a voluntary survey of 13 respondents run by Defra that collects information on the number of eggs bought by egg processors and the quantity of egg products produced. The response rate is typically 100 per cent . These figures come from HM Revenue and Customs, but are validated and adjusted if necessary prior to publication. The Standard Industrial Classification codes used to produce each table are given in the footnotes below the tables. 4. In tables that show numbers of eggs the units used are 'thousand cases'. There are 360 eggs in one case. 5. The data are subject to a variety of validation checks which identify inconsistencies in the data. All data are cleaned prior to publication. 6. The percentage changes shown are calculated using unrounded figures. Thus any percentage changes calculated using the published (rounded) figures may not equate exactly with the changes shown. Revisions policy: 7. Figures in this dataset are provisional and subject to revision. We will provide information about any revisions we make to previously published information in this dataset, and the associated statistics notice. Revisions could occur for various reasons including : a. if we have not received survey data from respondents we make an estimate based on their previous returns. These estimates will be replaced with actual survey data when it is received. b. survey respondents occasionally supply amended figures for previous periods. c. we may also revise the methodology used to raise the survey data to give UK totals. This quarter there are no revisions to previously published throughput figures

Abstract copyright UK Data Service and data collection copyright owner. The New Earnings Survey (NES) is an annual survey of the earnings of employees in Great Britain. Its primary purpose is to obtain information about the levels, distribution and make-up of earnings, and for the collective agreements that cover them. The NES is designed to represent all categories of employees in businesses of all kinds and sizes. It provides a large amount of information on earnings and hours (including bonuses, overtime, etc) as well as industry information derived from the Inter-Departmental Business Register. It provides no information on personal characteristics of the employee apart from age and gender. Most variables are collected each year, although a few additional questions asked each year may or may not be asked in other years. The earnings, hours of work and other information relate to a specified week in April of each year. The NES sampling frame is mainly supplied by Inland Revenue records. It is based largely on a one per cent sample of employees who are members of Pay-As-You-Earn (PAYE) income tax schemes. The PAYE sample is supplemented by data provided by large employers, using extracts from their payroll systems. A survey form is sent to employers, and completion is compulsory under the Statistics of Trade Act 1947. Some large businesses make automatic submissions direct from their electronic records. Certain categories of employees are not selected: for example the Armed Forces, those employed in Enterprise Zones, private domestic service workers, occupational pensioners, non-salaried directors, those employed oversees, those working for their spouses, and clergymen holding pastoral appointments. The NES was replaced by the Annual Survey of Hours and Earnings (UK Data Archive SN 6689) in 2004. Further information on the NES can be found on the Office for National Statistics' (ONS) New Earnings Survey web page. There are a number of issues and inconsistencies associated with the NES data. Users are advised to read the documentation carefully before using the dataset. For example, ONS advise for safety reasons that only data from 1998 onwards should be used because 1998 was the first year that annual earnings were validated properly and published. Geographical references: postcodes The postcodes available in these data from 1996 are pseudo-anonymised postcodes. The real postcodes are not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. In the dataset, the variable of the replacement postcode is 'new_PC'. Main Topics: The NES collects the following data for employees in all industries and occupations and for the major national collective agreements:levels, distributions and make-up of earningshours workedindustryoccupationplace of workgender age Simple random sample One per cent sample of individuals from National Insurance records

This project uses interview data to investigate the implications, implementation and consequences of Brexit for UK universities, including the effects in relation to migration, international education and financial sustainability. The generic research questions are: 1) What are the perceived implications of Brexit for UK universities as leaders and others see it? 2) What are the principal responses of universities and what are their capabilities to monitor, judge, strategies, respond, initiate and make internal changes, in relation to Brexit? 3) How do these factors vary by UK nation; university mission, status, resources; and discipline? The dataset includes 124 semi-structured transcripts of semi-structured interviews conducted between November 2017 to September 2018. Participants were from 12 universities in the UK. This project is part of the ESRC’s 'The UK in a Changing Europe' initiative which supports research into the relationship between the UK and the European Union (EU).UK universities are extensively engaged in Europe, in collaborative research and infrastructure and through EU citizen staff and students. The UK’s departure from the EU has many potential consequences for UK universities and their staffing, research, international education and financial sustainability. Brexit is an unprecedented development with implications in almost every domain of UK higher education (HE) and a range of possible forms and consequences for individual UK HEIs, with marked potential for differential effects (e.g. in research capability, international students, staffing, mission, income) across the variation of HEI types. Though Brexit has many possible forms, in any form it is likely to disrupt existing projects, networks and activities, and could imply sharp reductions in staff, students and/or income, in some or all HEIs. It also calls for new and innovative lines of institutional and discipline-based development on and off shore.In an uncertain and fast changing setting characterised by multiple possibilities and sudden shocks, HEIs will be required to monitor, respond, adjust, strategize, reorient and initiate with unprecedented speed and effectiveness; to build new relations and activity portfolios in Europe and beyond; and to grapple with new challenges to human resource management, risk management, financial sustainability, mission, governance and local implementation systems. This research investigates the policy implications, implementation and consequences of Brexit for UK HE, in two priority areas identified by the Economic and Social Research Council: implications of Brexit for migration, and impacts in the economy and future trade arrangements. UK higher education institutions (HEIs) are extensively engaged in Europe and in this sector EU relations have been unambiguously positive and productive. While there is a range of possible Brexit scenarios, UK HE is closely affected by the Brexit-related policy settings for staff mobility, retention and recruitment ('migration'); for international student policy and regulation, with consequences for tuition revenues and balance sheets ('trade'); and by the effects of Brexit in research relations between UK and European HEIs. Research papers co-authored with colleagues in Europe outweigh total papers co-authored with US and other English-speaking countries, more than 20 per cent of UK R&D funding is from international sources with much from collaborative European research schemes. The role of UK universities in Europe is central to their outstanding global research performance: UK accounts for 3.2 per cent of global R&D spending, 9.5 per cent of scientific papers downloaded, 11.6 per cent of citations, and 15.9 per cent of the most highly-cited papers. EU frameworks enable many UK researchers to lead, while sharing the best ideas and people from other EU member countries. The research capacity and reputation of UK HEIs also underpins the nation's role as the world's second largest exporter of international education after the US. The government has stated that it hopes to raise education exports by almost 50 per cent to 30 billion pa in 2020. The main data collection consists of qualitative case studies in 12 UK HEIs, with participating institutions selected from all four nations and illustrating the diversity of the sector. There are 127 semi-structured interviews, with senior academic leaders of HEIs, chief financial officers, heads of human resources, executive deans in three disciplines (health, science, social science), research professors from these disciplines, and student representatives. The project also conducted policy-oriented seminars which will have both data gathering and dissemination/public discussion purposes. The practical outcomes of the research are (a) through research, public events and briefings, to draw to the attention of policy makers and public the implications of different Brexit scenarios in higher education, (b) within HE, to investigate and make recommendations on the capacity of UK HEIs to respond effectively to the challenges triggered by Brexit under the different possible Brexit scenarios, in the context also of other policy developments (Office for Students, TEF). Interviews were conducted between November 2017 to September 2018. Participants were from 12 universities in the UK. We have sampled universities based on the following criteria to include a variety of case study universities: (1) Nations: We aimed to include universities from the four nations of the UK and had eight case study universities in England, two in Scotland, one in Wales, and one in Northern Ireland. (2) Type of universities: We sampled universities to include those from different groupings and had four Russell Group universities, five other pre-1992 universities, and three post-1992 universities. Within each case study university, we aimed to interview participants with different level of responsibilities, including 44 senior executives (e.g. vice-chancellor), 23 senior administrators (e.g. director of finance), 10 members of governing body, 28 academic leaders (e.g. department head), 8 students, and 14 academics in Health Sciences, Sciences, Social Sciences.

The New Earnings Survey (NES) is an annual survey of the earnings of employees in Great Britain. Its primary purpose is to obtain information about the levels, distribution and make-up of earnings, and for the collective agreements that cover them.

The NES is designed to represent all categories of employees in businesses of all kinds and sizes. It provides a large amount of information on earnings and hours (including bonuses, overtime, etc) as well as industry information derived from the Inter-Departmental Business Register. It provides no information on personal characteristics of the employee apart from age and gender. Most variables are collected each year, although a few additional questions asked each year may or may not be asked in other years. The earnings, hours of work and other information relate to a specified week in April of each year.

The NES sampling frame is mainly supplied by Inland Revenue records. It is based largely on a one per cent sample of employees who are members of Pay-As-You-Earn (PAYE) income tax schemes. The PAYE sample is supplemented by data provided by large employers, using extracts from their payroll systems. A survey form is sent to employers, and completion is compulsory under the Statistics of Trade Act 1947. Some large businesses make automatic submissions direct from their electronic records.

Certain categories of employees are not selected: for example the Armed Forces, those employed in Enterprise Zones, private domestic service workers, occupational pensioners, non-salaried directors, those employed oversees, those working for their spouses, and clergymen holding pastoral appointments.

The NES was replaced by the Annual Survey of Hours and Earnings (UK Data Archive SN 6689) in 2004.

Further information on the NES can be found on the Office for National Statistics' (ONS) New Earnings Survey web page.

There are a number of issues and inconsistencies associated with the NES data. Users are advised to read the documentation carefully before using the dataset. For example, ONS advise for safety reasons that only data from 1998 onwards should be used because 1998 was the first year that annual earnings were validated properly and published.

Geographical references: postcodes
The postcodes available in these data from 1996 are pseudo-anonymised postcodes. The real postcodes are not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. In the dataset, the variable of the replacement postcode is 'new_PC'.

Proportion of people claiming Universal Credit who are in employment. This is based on the count of the number of people on Universal Credit on the second Thursday of each month (completed the Universal Credit claim process and accepted their Claimant Commitment) and have not had a closure of their claim recorded for this spell. A closure of their claim would be recorded either at the request of the individual or if their entitlement to Universal Credit ends, for example, if they no longer satisfy the financial conditions to receive Universal Credit as they have capital over the threshold. To allow sufficient time for earnings information to be gathered on all claimants, figures for the latest month in the series will not be available until the next release. Figures provided for starts show the Jobcentre Plus office recorded at the start of the claim, whereas the figures for the number of people on Universal Credit are representative of the current Jobcentre Plus office that the claimant is attending. It is possible for people to have started on Universal Credit in one office and have moved to another office during their claim, and for this reason, the number of people on Universal Credit can be higher than the starts figure for any particular office, however it is more noticeable when numbers are low. You may be eligible to get Universal Credit if you’re on a low income or out of work, 18 or over (there are some exceptions if you’re 16 to 17), you’re under State Pension age (or your partner is), you and your partner have £16,000 or less in savings between you, and you live in the UK. Universal Credit has replaced Jobseeker’s Allowance (JSA) for most people. It is still possible to claim JSA if you are 18 or over and under State Pension age. As long as you are actively looking for a full-time job and are out of work, or are working less than 16 hours a week. These standalone JSA claims are separately reported. Statistical disclosure control has been applied with Stat-Xplore, which guards against the identification of an individual claimant.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

The benchmark interest rate in the United Kingdom was last recorded at 4 percent. This dataset provides - United Kingdom Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in the United Kingdom increased to 4.80 percent in August from 4.70 percent in July of 2025. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.