Economic activity and social change in the UK, real-time indicators: 7 April 2022

• Both UK spending on credit and debit cards, and OpenTable UK seated diners, increased by 6 percentage points in the latest week; meanwhile, visits to retail stores and recreation areas were 15% below pre-coronavirus (COVID-19) levels and 1% lower than the previous week according to Google Mobility data. Section 3.

• In the latest week, there were increases in 16 of the 28 online job advert categories, with the largest weekly increase in “travel and tourism” (11%). Section 4.

• In March 2022, the seasonally adjusted number of new Value Added Tax (VAT) reporters was 12% lower than the previous month and 18% lower than reported in March 2021. Section 4.

• The top two concerns reported by businesses continued to be input price inflation (23%) and energy prices (20%); concerns about energy prices saw the largest rise of all concerns, from 15% in late February 2022 to 20% in late March 2022 (final results from Wave 53 of the Business Insights and Conditions Survey (BICS)).

• While the volume of all ship visits and road traffic showed week-on-week decreases of 10% and 4 percentage points, respectively, daily UK flights increased by 19% in the latest week, to the highest level compared with the pre-coronavirus equivalent week. Section 5.

• The System Average Price (SAP) of gas increased by 17% in the week to 3 April 2022, with the level now 58% of that on 10 March 2022, when prices peaked in the rolling seven-day series; the SAP is 444% higher compared with the same period last year (week ending 4 April 2021).

Notes:

1. The break in the available shipping data (from 14 to 19 June 2021) is when the data collection system changed.

2. OpenTable seated diners weekly comparisons were previously made with the seven-day period to each Monday. From the previous week’s release (31 March 2022) the weekly comparison period has changed to the seven-day period to each Sunday.

3. Adzuna online job adverts in the previous period are compared from 21 March 2022 to 25 March 2022. Caution is advised when comparing these data as this is not the Friday-to-Friday comparison period historically used.

Consumer activity across the UK showed a mixed picture in the most recent week, with a 6 percentage point increase in both credit and debit card purchases and OpenTable seated diners. Meanwhile Pret A Manger transactions fell at most locations in part because of adverse weather conditions. Springboard’s retail footfall decreased by 8% from the previous week, while Google Mobility data show a slight decrease (1%) in retail and recreation visits, and were 15% below pre-coronavirus (COVID-19) levels.

Mobility

Google Mobility data provide an indicator of changes in the volume of visits to different location types compared with a pre-coronavirus baseline.

Visits are calculated based on publicly available anonymised data from Google users in the UK who have opted into Location History for their Google account, so are based on a subset of users. Full details of Google’s methods used to compile the data are available.

We have transformed the publicly available anonymised data into an indexed seven-day moving average to smooth the weekday and weekend.

We have used data for the following location types:

• Grocery and pharmacy: grocery stores, supermarkets, farmers’ markets, specialty food shops and pharmacies
• Parks: parks, public beaches, marinas, public gardens and other public open spaces
• Transit stations: public transport hubs such as train, light rail, tram and bus stations
• Retail and recreation: restaurants, cafes, shopping centres, theme parks, museums, libraries, theatres and cinemas
• Workplaces: places of work

Visits to retail and recreation locations have not yet returned to pre-coronavirus levels and remain below pre-Omicron variant levels. There has been a slow upward trend in visits to workspaces since the low of April 2020, but these are still 21% below pre-coronavirus levels. Visits to transit stations have been the slowest to recover and are still 28% below pre-coronavirus levels.

Visits to each location type in the week to 1 April 2022 compared with the previous week:

• parks decreased by 12%
• no change in transit stations
• grocery and pharmacy increased by 1%
• retail and recreation decreased by 1%
• workplaces increased by 1%

The full data time series can be found in our accompanying Visits to location types using Google Mobility dataset.

These are experimental indicators, which we are working to develop further. However, further geographical breakdowns of the Google Mobility data are available.

National retail footfall

National retail footfall figures are supplied by Springboard, a provider of data on customer activity. They measure the following for overall UK retail footfall, as well as by high street, retail park and shopping centre categories:

• daily retail footfall as a percentage of its level on the same day of the equivalent week of 2019; for example, Saturday 2 April 2022 is compared with Saturday 30 March 2019

• total weekly retail footfall as a percentage of its level in the equivalent week of 2019

• the percentage change in weekly footfall compared with the previous week; for example, Week 13 of 2022 is compared with Week 12 of 2022

Springboard’s weekly data are defined over a seven-day period running from Sunday to Saturday. Week 13 of 2022 therefore refers to the period Sunday 27 March to Saturday 2 April 2022.

Because of data offsets between 2021 and previous years, footfall data from Springboard for the following days have been omitted: 22 to 23 December 2021, 25 to 26 December 2021, 29 December 2021 and 1 January 2022.

Users should note that all quoted figures have been rounded to the nearest integer.

Figure 2: Overall weekly retail footfall in the UK decreased by 9% in the latest week and was 84% of the level seen in the equivalent week of 2019

Volume of daily retail footfall, percentage compared with the equivalent day of the equivalent week of 2019, 1 March 2020 to 2 April 2022, UK

Source: Springboard, Department for Business, Energy and Industrial Strategy

Notes:

1. The vertical lines indicate notable events and coronavirus restriction changes.
2. Users should note that week-on-week changes in retail footfall volumes are outlined as percentages, rather than as percentage point changes. Percentage change figures quoted in the commentary will therefore not necessarily match the percentage point changes observed in the chart.

Download this image Figure 2: Overall weekly retail footfall in the UK decreased by 9% in the latest week and was 84% of the level seen in the equivalent week of 2019

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The volume of overall weekly retail footfall in the UK in the week to 2 April 2022:

• in high streets decreased by 13% from the previous week and was 81% of the level seen in the equivalent week of 2019
• in shopping centres decreased by 6% from the previous week and was 79% of the level seen in the equivalent week of 2019
• in retail parks decreased by 2% from the previous week and was 98% of the level seen in the equivalent week of 2019

Figure 3: The South West had the highest weekly levels of retail footfall in the week to 2 April 2022, compared with the equivalent week of 2019, at 90%

Volume of daily retail footfall, percentage of the level recorded on the same day of the equivalent week of 2019, seven-day rolling average, UK countries and English regions, 1 March 2020 to 2 April 2022

Source: Springboard, Department for Business, Energy and Industrial Strategy

Download this image Figure 3: The South West had the highest weekly levels of retail footfall in the week to 2 April 2022, compared with the equivalent week of 2019, at 90%

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Retail footfall saw week-on-week percentage decreases in all of the 10 UK countries and English regions in the week to 2 April 2022. The largest of these were in the East of England, East Midlands, Northern Ireland, and the North and Yorkshire, all falling by 10% over the week.

In the same period, relative to the levels seen in the equivalent week of 2019, retail footfall was strongest in the South West of England and Greater London, at 90% and 86%, respectively. In contrast, retail footfall was weakest in East Midlands and the East of England, at 81% and 83% of the levels seen in the equivalent week of 2019, respectively.

UK spending on debit and credit cards: daily CHAPS-based indicator

These data series are experimental faster indicators for estimating UK spending on credit and debit cards. They track the daily CHAPS payments made by credit and debit card payment processors to around 100 major UK retail corporates. These payments are the proceeds of recent credit and debit card transactions made by customers at their stores, both via physical and via online platforms. More information on the indicator is provided in the accompanying  CHAPS methodology article. 

Companies are allocated to one of four categories based on their primary business:  

• “staples” refers to companies that sell essential goods that households need to purchase, such as food and utilities 
• “work-related” refers to companies providing public transport or selling petrol 
• “delayable” refers to companies selling goods whose purchase could be delayed, such as clothing or furnishings
• “social” refers to spending on travel and eating out 

Figure 4 shows changes in the value of CHAPS payments received by large UK corporates from their credit and debit card processors, “merchant acquirers”. 

In the week to 31 March 2022, the aggregate CHAPS-based indicator of credit and debit card purchases increased by 6 percentage points from the previous week, to 104% of its February 2020 average level.

The spending categories recorded the following changes in the latest week:

• “social” increased by 3 percentage points
• “delayable” increased by 4 percentage points
• “work-related” increased by 5 percentage points
• “staple” increased by 12 percentage points, this may in part be due to seasonality

“Work-related”, “staple” and “social” spending were above their February 2020 average levels at 123%, 119% and 104%, respectively. “Delayable” spending meanwhile was below its February 2020 average level at 88%.

UK spending on debit and credit cards: Monthly CHAPS-based indicator

The monthly CHAPS-based indicator of aggregate credit and debit card spending was at 101% of its February 2020 average level in March 2022. This is 5 percentage points higher than in January 2022 (96%) and 20 percentage points higher than March 2021 (81%).

The monthly data time series is available in the accompanying CHAPS dataset and includes methodological notes that users should bear in mind. The monthly CHAPS index is calculated by the Office for National Statistics (ONS), rather than being an additional series that is produced and validated by the Bank of England.

The total volume of online job adverts on 1 April 2022 was broadly unchanged from the previous week, though there were increases in 16 of the 28 online job advert categories. The largest of these was an 11% increase in “travel and tourism”.

Small business sales recorded by Xero were up by 4 percentage points from January 2020, while small business jobs decreased by 4 percentage points. The seasonally adjusted number of new Value Added Tax (VAT) reporters decreased by 12% in March 2022 compared with the previous month.

Self-isolation rates in the workforce by sector and for working age population by country

Data from the Coronavirus (COVID-19) Infection Survey (CIS) were used to provide modelled estimates of the proportion of the workforce self-isolating because of coronavirus, by work sector; and the proportion of the working age population self-isolating because of coronavirus, by country.

The percentage of people self-isolating because of coronavirus remained stable in the week ending 26 March 2022. This follows an increase in self-isolation across all work sectors except the “food production, agriculture and farming” work sector in the two weeks ending 19 March 2022.

Figure 5: The percentage of the working-age population self-isolating because of coronavirus increased in England in the week ending 26 March 2022

Estimated percentage of the working-age population (aged 17 to 69 years) self-isolating because of coronavirus (COVID-19) from 6 February to 26 March 2022, UK countries

Notes:

1. All results are provisional and subject to revision.

2. These statistics refer to self-reported self-isolation occurring in working-age adults (aged 17 to 69 years), regardless of employment status, living in private households.

3. During the period shown, self-isolation requirements were frequently updated with different changes taking place at different times across the UK countries.

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Figure 6: The sectors with the highest percentage of the workforce in self-isolation on 26 March 2022 were “health care” and “teaching and education”, both at 3.8%

Estimated percentage of the workforce self-isolating because of coronavirus (COVID-19), by work sector, 30 January 2022 to 26 March 2022, UK

Notes:

1. All results are provisional and subject to revision.

2. These statistics refer to self-reported self-isolation in working adults (aged 16 years and over) living in private households.

3. In the “health care” work sector, there is a 95% confidence interval from 3.0% to 4.7%.

4. In the “teaching and education” work sector, there is a 95% confidence interval from 3.0% to 4.7%.

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More information on how these estimates were calculated is available in Coronavirus (COVID-19) Infection Survey estimates of the UK workforce in self-isolation by sector, published on 14 February 2022.

A breakdown of the CIS data is available in our accompanying estimates of the UK workforce in self-isolation dataset.

Online job adverts by category

These figures are experimental estimates of online job adverts provided by Adzuna, an online job search engine, by category and by UK country and English region. The number of job adverts over time is an indicator of the demand for labour. The Adzuna categories used do not correspond to Standard Industrial Classification (SIC) categories, so these values are not directly comparable with the Office for National Statistics’ (ONS) Vacancy Survey.

Figure 7: The total volume of online job adverts on 1 April 2022 increased by 1% from the previous week, and was 137% of its February 2020 pre-coronavirus average level

Volume of online job adverts by category, index: 100 = February 2020 average, 4 January 2019 to 1 April 2022, non-seasonally adjusted

Notes:

1. Further category breakdowns are included in the Online job advert estimates dataset and more details on the methodology can be found in Using Adzuna data to derive an indicator of weekly vacancies.
2. Users should note that week-on-week changes in online job advert volumes are outlined as percentages, rather than as percentage point changes. Percentage change figures quoted in the commentary will therefore not necessarily match the percentage point changes observed in the charts and accompanying dataset.
3. Because of data collection issues, recent comparisons have alternated between Friday-to-Friday and Monday-to-Monday comparisons. Caution is advised when comparing data between 4 and 25 March 2022 for this reason. We have now reverted back to the usual Friday comparisons.

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Of the 28 categories, 16 saw an increase in the number of online job adverts on Friday 1 April 2022. The largest increase was in “travel and tourism” (11%), followed by “energy, oil and gas” and “catering and hospitality”, which both increased by 9%. The number of online job adverts remained unchanged in five categories, and decreased in seven categories, the largest decrease being in the “charity and voluntary” category, where it fell by 9%.

The categories with the highest level of online job adverts when compared with their February 2020 pre-coronavirus average levels were “HR and recruitment” at 252%, followed by “transport, logistics and warehouse” at 248%.

The latest five weeks of data for the regional breakdown of Adzuna online job adverts are now available, which include a revision to the entire regional backseries following a methods update. This is available within our accompanying online job advertisements dataset.

Value Added Tax returns

New reporters

The new reporters index measures the number of firms sending Value Added Tax (VAT) returns for the first time, which is related to the number of firm creations.

In the services industry, there were 16,250 new VAT reporters in March 2022, a 13% decrease from the 18,740 reported in February 2022. This latest figure is 27% lower than reported in March 2021.

The number of new reporters in the production industries increased by 9% compared with the previous month, while the number of new reporters in construction industries fell by 7% over the same period. The number of new VAT reporters in the production and construction industries were 110% and 126% of their March 2021 levels, respectively.

The figures explained in this section refer to seasonally adjusted data. Non-seasonally adjusted data are available in our accompanying Value Added Tax dataset.

Business turnover estimates

Turnover diffusion indices are an aggregate measure used to track whether most firms are reporting an increase or decrease in turnover in their VAT returns. They are calculated as the percentage of firms with increasing turnover minus the percentage with decreasing turnover.

The heatmap in Figure 9 is a visual way of showing the VAT diffusion indices based on the standard deviation from their historical 2008 to 2019 average. Larger deviations are more darkly coloured, with red representing a negative change, while teal represents a positive change when compared with the previous period.

Figure 9: A net 5% of firms reported increased month-on-month turnover in February 2022

Heatmap of business turnover estimates, UK, diffusion index standard deviation from the mean, up to February 2022, new reporters, UK, up to March 2022

Notes:

1. Agri - Agriculture, forestry and fishing, All - All industries, SA - Seasonally adjusted.
2. More information is available in the methodology article

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The all-industry turnover estimate for February 2022 shows that in the past month, more firms had reported increasing rather than decreasing turnover (net 5%).

A net 10% of firms in the production industry reported increasing turnover in February 2022, the highest net figure since February 2021 (13%).

A net 6% and 4% of firms in the services and agricultural industries, respectively, reported increasing turnover in February 2022. In the construction industry, a net 1% of firms reported increasing turnover in the last month.

The figures explained in this section refer to seasonally adjusted data. Non-seasonally adjusted data are available in our accompanying Value Added Tax dataset.

The transport indicators showed a mixed picture, with 10% decreases in both all ships and cargo ships, as well as a 4 percentage point decrease in road traffic. In comparison UK daily flights increase by 19% in the week to 3 April 2022, coinciding with the start of Easter holiday period.

UK flight data

These data are daily flight figures from the European Organisation for the Safety of Air Navigation (EUROCONTROL). Daily flight numbers for the UK alongside other countries are available in EUROCONTROL's dashboard. EUROCONTROL is a pan-European, civil-military organisation dedicated to supporting European aviation. Its Aviation Intelligence and Performance Review Unit provides independent collection and validation of air navigation services performance-related data and intelligence gathering.

The flights data include international arrivals and departures to and from the UK (including Crown dependencies) and domestic UK flights but exclude overflights (flights that pass over UK territory). They capture all flight movements that operate under Instrument Flight Rules (IFR), where the pilot uses instruments in the flight deck to control, guide and adjust the plane. This includes commercial flights carrying passengers and cargo as well as non-commercial flights such as private and military flights.

Data from EUROCONTROL do not include information on the volume of passengers or cargo carried on UK flights. Especially in the context of the coronavirus (COVID-19) pandemic, flights might not be operating at full capacity and therefore trends in passengers and cargo will differ from trends in flights presented here.

The seven-day average number of UK daily flights increased for the ninth consecutive week in the week to 3 April 2022 and was 85% of the level seen in the equivalent week of 2019. Caution should be used when interpreting this figure though as the latest period includes the beginning of the 2022 Easter Holidays, while the 2019 comparison does not.

The full data time series available for UK flights can be found in our accompanying UK daily flights dataset, which contains daily flight numbers and the rolling seven-day averages.

Users should note that this section lists a selection of the data available with this publication. For the full list of available datasets please see the accompanying dataset page.

Faster indicator

A faster indicator provides insights into economic activity using close-to-real-time big data, administrative data sources, rapid response surveys or Experimental Statistics, which represent useful economic and social concepts.

Diffusion index

The diffusion index tracks the growth in turnover and expenditure of firms. It is constructed to lie between negative 1 and 1. For example, if 65% of firms have increasing turnover, 30% have decreasing turnover and 5% turnover remains unchanged, then the diffusion index is 0.35.

New reporter

A new reporter is defined as a firm with a Value Added Tax (VAT) reference (that is, firm identification number), which has not previously reported its VAT returns. New reporters are published within one month of the end of the reporting period. The new reporting behaviour measure is classified by the month the data were received by HM Revenue and Customs (HMRC), known as the receipt date; this is not necessarily the same as the reference period (the period for which the VAT return is made).

Information on the methodology used to produce the indicators in this bulletin is available in the Economic activity and social change in the UK, real-time indicators methodology.

These statistics have been produced to provide timely indicators of the effect of developing world events on the UK economy and society, using close-to-real-time big data, administrative data sources, rapid response surveys or Experimental Statistics.

The data presented in this bulletin are reviewed and refreshed on a regular basis. Indicators are swapped in and out of the publication based on their suitability and availability.

UK coronavirus (COVID-19) restrictions

A full overview of coronavirus restrictions for each of the four UK constituent countries can be found:

• England

• Scotland

• Wales

• Northern Ireland

These restrictions should be considered when interpreting the data featured throughout this bulletin.

Seasonality

Seasonal fluctuations are likely to be present in many of these indicators so caution must be applied when interpreting changes in series that are not seasonally adjusted.