By the end of the UK's job retention scheme, which ran from April 2020, to September 2021, approximately **** million jobs, from *** million different employers, were furloughed in the United Kingdom. The day with the most jobs furloughed at once was May 8, 2020, when **** million jobs were on the job retention scheme. The scheme, introduced in response to the economic damage caused by the Coronavirus (COVID-19) pandemic, covered ** percent of an employees' usual monthly wage, up to ***** British pounds a month. How much did the scheme cost? The UK government spent approximately ** billion British pounds on the job retention scheme. Due to spending commitments such as this, as well as depressed revenue sources, UK government finances took a severe hit in the 2020/21 financial year. Government borrowing was approximately ***** billion pounds in 2020/21, while government debt as a share of GDP shot up from around ** percent in 2018/19 to almost ** percent by 2020/21. Getting this debt down has proven difficult in subsequent financial years, with high inflation, war in Ukraine, and the Cost of Living Crisis putting even more pressure on public finances. Popular scheme not enough to save Sunak Former Prime Minister, Rishi Sunak, held the position of Chancellor of the Exchequer throughout the duration of the furlough scheme. While this scheme and Sunak himself were popular for much of that time, Sunak saw his popularity tumble. Shortly after succeeding Liz Truss as Prime Minister in October 2021, Sunak was seen by ** percent of people as being the best person for his job, but by May 2024, just before he announced the 2024 General Election, just ** percent of people thought he made the best Prime Minister. Sunak and the Conservatives went on to suffer a historic loss at this election, winning just *** seats, compared with the *** won in the 2019 General Election.

At the end of the job retention scheme in the United Kingdom on September 30, 2021 there were ***** thousand females and ***** thousand males still on furlough with a further ** thousand people of unknown gender also covered by the measure.

On September 30, 2021, at the end of the job retention scheme in the United Kingdom, there were approximately ***** thousand people aged between 35 and 44 still furloughed, the most of any group. Since July 2020, the age group ** to ** has consistently had the most people on furlough, with over *** million of this age group on the job retention scheme at the start of that month.

In January 2021, approximately **** million jobs in Europe's three largest economies were being supported by temporary employment schemes, with the UK's job retention scheme supporting approximately **** million jobs, France's Chômage partiel scheme *** million, while *** million workers were on Germany's Kurzarbeit system. Although some of these partial employment mechanisms were already in place before the COVID-19 pandemic, their usage accelerated considerably after the first Coronavirus lockdowns in Spring 2020. How much will this cost European governments? Early on in the pandemic, European governments moved swiftly to limit the damage that the Coronavirus pandemic would cause to the labor market. The spectre of mass unemployment, which would put a huge strain on European benefit systems anyway, was enough to encourage significant government spending and intervention. To this end, the European Union made 100 billion Euros of loans available through it's unemployment support fund (SURE). As of March 2021, Italy had received ***** billion Euros in loans from the SURE mechanism, and is set to be loaned **** billion Euros overall. Spain and Poland will receive the second and third highest amount from the plan, at **** billion, and ***** billion Euros respectively. What about the UK? The United Kingdom is not involved in the European Union's SURE scheme, but has also paid substantial amounts of money to keep unemployment at bay. As of January 31, 2021, there had been more than **** million jobs furloughed on the UK's job retention scheme. By this date, the expenditure of this measure had reached **** billion British pounds, with this figure expected to increase further, following the extension of the scheme to September 2021.

Office for National Statistics' national and subnational Census 2021.This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their method used to travel to work (2001 specification). The estimates are as at Census Day, 21 March 2021.Census 2021 took place during a period of rapid change. We gave extra guidance to help people on furlough answer the census questions about work. However, we are unable to determine how furloughed people followed the guidance. Take care when using this data for planning purposes. Read more about specific quality considerations in our Labour market quality information for Census 2021 methodology Method of travel to workplace definition: A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.'Work mainly from home' applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.Quality information: As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.Comparability with 2011: Not comparable. It is difficult to compare this variable with the 2011 Census because Census 2021 took place during a national lockdown. The government advice at the time was for people to work from home (if they can) and avoid public transport.People who were furloughed (about 5.6 million) were advised to answer the transport to work question based on their previous travel patterns before or during the pandemic. This means that the data does not accurately represent what they were doing on Census Day. This variable cannot be directly compared with the 2011 Census Travel to Work data as it does not include people who were travelling to work on that day. It may however, be partially compared with bespoke tables from 2011. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

Federal Funding Gaps in the US

Overview of US Federal Funding Gaps (1976-2018)

By Throwback Thursday [source]

About this dataset

The dataset includes columns such as Start Date, End Date, Total days, Employees furloughed, Number of Employees Furloughed, Senate Control, Senate Democrats, Senate Republicans ,Senate Independents ,House Control ,House Democrats ,House Republicans and House Independents.

Start Date indicates the date when each federal funding gap began. On the other hand End date shows when these funding gaps came to an end. By examining this information for each gap individually along with calculations from other columns like Total days one can gain insights into how long each funding gap lasted.

Numerical values such as number of employees affected by furloughs are provided within columns like Employees furloughed and Number of Employees Furloughed. The latter column represents a total count for all affected employees throughout a particular funding gap period.

This dataset delves even deeper into political dynamics by revealing which political party was in control during each federal funding gap period through columns like Senate Control and House Control. Specifically defining whether Democrats or Republicans were leading is very crucial to understand any potential ramifications associated with those particular party affiliations being at power during a given time period.

Moreover,the numerical data found under columns named Senate Democrats,Senate Republicans,Senate Independents indicate how many members from respective parties were active participants within United States Senate for each individual government fund shutdown event.As we continue through other sections more details about representation will be present .

Similarly,namesake parties committed to House representatives then find representation factors being unearthed and can be seen through President's Government House Control metric here . Columns like House Democrats, House Republicans and House Independents serve as additional measures to provide a census of who controlled the power dynamic during these respective campaign titanic struggles.Thus , for each federal funding gap period one can ascertain which political party held sway over the decisions made within America's lower parliamentary body.

In total,this comprehensive dataset offers profound insights into how the United States government experienced financial funding gaps throughout several decades of its history. The information provided in this dataset is crucial for anyone looking to study, analyze, or understand the dynamics, duration, impacts, and control factors associated

How to use the dataset

• Understand the Columns:

  • Start Date: The date when a federal funding gap started.
  • End Date: The date when a federal funding gap ended.
  • Total days: The duration of each federal funding gap in days.
  • Employees furloughed: A brief description of the employees affected by each funding gap, providing an insight into different government sectors impacted.
  • Number of Employees Furloughed: The total number of employees who were furloughed during each funding gap.
  • Senate Control and House Control: Political party in control of both chambers during each funding gap (Democrats or Republicans).

• Gain Insight into Duration and Employee Impact: Explore which federal funding gaps had longer durations and higher numbers of furloughed employees. Sort or filter based on Total days or Number of Employees Furloughed columns, respectively, to identify significant instances.

• Analyze Political Party Control: Observe which political party was in control during different periods. Analyze if there is any correlation between party control and decision-making leading to a governmental shutdown.

• Compare Senate and House Representation: Compare Republican, Democrat, Independent representation within both chambers during each period using respective columns like Senate Republicans, House Democrats, etc., providing insights into potential political dynamics affecting these gaps.

• Highlight Interesting Findings: Communicate your data-driven discoveries by visualizing interesting trends with graphs or summarizing them through storytelling techniques.

• Respect Data Privacy Please note that while analyzing the dataset, it is essential to respect any data privacy guidelines and not draw conclusions about individual employees or reveal any sensitive information.

Best of luck with your analysis!

Research Ideas

• Analyzing the impact of federal funding gaps: This datas...

Office for National Statistics' national and subnational Census 2021.This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their method used to travel to work (2001 specification). The estimates are as at Census Day, 21 March 2021.Census 2021 took place during a period of rapid change. We gave extra guidance to help people on furlough answer the census questions about work. However, we are unable to determine how furloughed people followed the guidance. Take care when using this data for planning purposes. Read more about specific quality considerations in our Labour market quality information for Census 2021 methodology Method of travel to workplace definition: A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.'Work mainly from home' applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.Quality information: As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.Comparability with 2011: Not comparable. It is difficult to compare this variable with the 2011 Census because Census 2021 took place during a national lockdown. The government advice at the time was for people to work from home (if they can) and avoid public transport.People who were furloughed (about 5.6 million) were advised to answer the transport to work question based on their previous travel patterns before or during the pandemic. This means that the data does not accurately represent what they were doing on Census Day. This variable cannot be directly compared with the 2011 Census Travel to Work data as it does not include people who were travelling to work on that day. It may however, be partially compared with bespoke tables from 2011. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures businesses responses on how their turnover, workforce prices, trade and business resilience have been affected in the two week reference period. These data relate to the period 6 April 2020 to 19 April 2020.

This dataset provides Census 2021 estimates that classify full-time students aged 16 and over in Northern Ireland by economic activity, and by sex. The estimates are as at census day, 21 March 2021. Census 2021 took place during the coronavirus (COVID-19) pandemic which will have affected the local labour market. This will have impacted on responses to the labour market questions on the census. For example, it is possible that some people on furlough may have identified as economically inactive, instead of temporarily away from work.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

The quality assurance report can be found here

The number of employees in the wholesale and retail trade industry incl. repair of motor vehicles and motorcycles in Italy stood at approximately 2.25 million in 2022. This is higher than in 2021, when the number of employees had been around 2.21 million.