Cynnwys
- Main points
- Things you need to know about this release
- Main figures for total retail sales
- Month-on-month contributions to growth by sector
- A closer look at food stores
- Year-on-year contributions to growth by sector
- What’s the story in online sales?
- Links to related statistics
- Quality and methodology
1. Main points
In the three months to February 2019, the quantity bought increased by 0.7% when compared with the previous three months, with strong growth in non-store retailing and fuel.
The monthly growth rate in the quantity bought in February 2019 increased by 0.4%, with a decline of 1.2% in food stores offset by growth in all other main sectors.
The monthly fall in food stores was the strongest decline since December 2016 at negative 1.5%, reversing the increase of 0.9% in January 2019, with food retailers suggesting that “getting back to normal” following the January sales had contributed to this fall.
Year-on-year growth in the quantity bought in February 2019 increased by 4.0%, with growth in all main sectors, while the only sub-sector to show a decline within non-food stores was household goods stores at negative 1.3%.
Online sales as a proportion of all retailing fell to 17.6% in February 2019 from the 18.8% reported in January 2019; this was a year-on-year increase of 9.4% when compared with February 2018.
2. Things you need to know about this release
This bulletin presents estimates of the quantity bought (volume) and amount spent (value) in the retail industry for the four-week period 27 January 2019 to 23 February 2019.
Unless otherwise stated, the estimates in this release are seasonally adjusted.
Retail sales collects turnover data from retailers, which is money through the till before any deductions, including refunded items. This provides us with the best indicator for consumer spending during the reference period.
The Retail Sales Index (RSI) measures the value and volume of retail sales in Great Britain on a monthly basis. Data are collected from businesses in the retail industry and the survey’s results are used to produce seasonally adjusted monthly, quarterly and annual estimates of output in the retail industry at current price and at chained volume measures (removing the effect of price changes).
The RSI is an important economic indicator and one of the earliest short-term measures of economic activity. It is used in the compilation of the national accounts and widely used by private and public sector institutions, particularly by the Bank of England and Her Majesty’s Treasury to assist in informed decision- and policy-making.
Summary information can be found in the RSI Quality and Methodology Information report.
Nôl i'r tabl cynnwys3. Main figures for total retail sales
Most recent month on a year earlier | Most recent 3 months on a year earlier | Most recent month on previous month | Most recent 3 months on previous 3 months | |
---|---|---|---|---|
Value (amount spent) | 4.3 | 4.2 | 0.6 | 0.6 |
Volume (quantity bought) | 4.0 | 3.7 | 0.4 | 0.7 |
Value (excluding automotive fuel) | 4.1 | 3.9 | 0.4 | 0.5 |
Volume (excluding automotive fuel) | 3.8 | 3.6 | 0.2 | 0.3 |
Download this table Table 1: Main figures, February 2019
.xls .csvIn February 2019, estimates for both the amount spent (value) and quantity bought (volume) in retail sales showed growth across all measures (Table 1).
Both the amount spent and the quantity bought in the retail industry showed strong growth of 4.3% and 4.0% respectively in February 2019 when compared with a year earlier. The monthly picture showed moderate growth of 0.6% for the amount spent and 0.4% for the quantity bought. The three-month on three-month movement showed a similar picture, with increases of 0.6% for the amount spent and 0.7% for the quantity bought.
Looking at these measures over time provides a clearer picture as to what is happening in the retail industry (Figure 1).
Figure 1: The quantity bought in retail sales has slowed from October 2018, to a moderate increase of 0.7% in the three months to February 2019
Rolling three-monthly and monthly index for quantity bought in all retailing, seasonally adjusted, Great Britain, February 2016 to February 2019
Source: Office for National Statistics - Monthly Business Survey - Retail Sales Inquiry
Download this chart Figure 1: The quantity bought in retail sales has slowed from October 2018, to a moderate increase of 0.7% in the three months to February 2019
Image .csv .xlsFigure 1 shows the quantity bought in retail sales over time for both the rolling three-month on three-month and the month-on-month movement.
While both series show a general increase in retail sales, the monthly path shows more volatility than the smoother three-month on three-month series.
Earlier in the series, from February 2016, sales were increasing at a steady rate until late 2016 when a short period of contraction is seen in the three months to March 2017. From April 2017, sales began to recover and increase steadily, albeit at a slower rate. From January 2018, the quantity bought began to level for a short period until May 2018 when a faster rate of growth is seen during the summer of 2018; partly attributed to consecutive months of hot weather as sales in the three months to June, July and August increased by 1.9%, 2.3% and 1.9% respectively.
Following this period of strong growth in the summer months, sales in the retail industry have maintained a higher level than previous years, contributing to the strong year-on-year growth seen in Table 1.
However, the quantity bought in retail sales has slowed from October 2018 onwards, to a moderate increase of 0.7% in the three months to February 2019.
Nôl i'r tabl cynnwys4. Month-on-month contributions to growth by sector
Figure 2: Non-food stores was the largest contributor towards the increase seen in February 2019 for quantity bought and amount spent
Contributions to month-on-month volume and value growth, four main sectors, Great Britain, February 2019 compared with January 2019
Source: Office for National Statistics - Monthly Business Survey - Retail Sales Inquiry
Notes:
- Please note sector estimates may not sum to total due to rounding.
Download this chart Figure 2: Non-food stores was the largest contributor towards the increase seen in February 2019 for quantity bought and amount spent
Image .csv .xlsFigure 2 displays the contribution to month-on-month growth, with the amount spent at 0.6 percentage points and the quantity bought at 0.4 percentage points.
Non-food stores was the largest contributor towards the increase seen in February 2019 for the quantity bought and amount spent, both at 0.4 percentage points.
In contrast, food stores was the only negative contributor on the month, with the quantity bought and amount spent contributing negative 0.5 and 0.2 percentage points respectively.
Nôl i'r tabl cynnwys5. A closer look at food stores
Percentage change on previous month | Percentage change 3 month on 3 month | Annual Weight | ||
---|---|---|---|---|
Quantity bought (volume) | Quantity bought (volume) | Weight to RSI | ||
Predominantly food stores | -1.2 | 0.5 | 38.5 | |
Supermarkets | -1.0 | 0.4 | 35.8 | |
Specialist Food Stores | -3.2 | 0.4 | 2.1 | |
Alcohol Stores | -5.3 | 7.1 | 0.7 |
Download this table Table 2: Sector summary, February 2019
.xls .csvTable 2 shows growth in the quantity bought for both the monthly and the three-month on three-month movement in food stores, along with their respective weight, to the total Retail Sales Index (RSI).
Despite an increase of 0.5% in the three months to February 2019, predominantly food stores reported the largest monthly decrease in the quantity bought at negative 1.2%. This was the largest monthly decline since December 2016 at negative 1.5%. This decline followed two consecutive monthly increases of 0.1% and 0.9% in December 2018 and January 2019 respectively, resulting in an increase in the three-month estimate.
Alcohol stores saw the largest monthly decline in the quantity bought in February 2019 at negative 5.3%; a big contrast to the strong growth of 7.1% in the three-month on three-month movement due to strong growth in the December and January months. Despite the strong monthly fall in February 2019, the smaller weight of 0.7% to total retail sales results in a relatively small contribution to the overall decline.
More money is spent in specialist food stores than alcohol stores, with a weight of 2.1% to total RSI. Specialist food stores also saw a strong decline on the month at negative 3.2%, following strong growth in January 2019, which was the driver to the moderate growth of 0.4% in the three-month on three-month growth rate.
Most money is spent in supermarket stores in comparison with other types of food stores, with nearly 36 pence of every pound spent in these stores. Therefore, despite a smaller monthly decline of 1.0%, this was the largest contributor to the overall fall of 1.2% in predominantly food stores in February 2019. Feedback from supermarkets suggested that the fall was attributed to “going back to normal” as many January sales and promotions, following the festive period, ended in February.
Nôl i'r tabl cynnwys6. Year-on-year contributions to growth by sector
Figure 3: Non-store retailing provided the largest contribution to growth in the amount spent and quantity bought
Contributions to year-on-year volume and value growth, four main sectors, Great Britain, February 2019 compared with February 2018
Source: Office for National Statistics - Monthly Business Survey - Retail Sales Inquiry
Notes:
- Please note sector estimates may not sum to total due to rounding.
Download this chart Figure 3: Non-store retailing provided the largest contribution to growth in the amount spent and quantity bought
Image .csv .xlsIn February 2019, all four main sectors contributed positively to both the amount spent and the quantity bought, resulting in year-on-year contributions of 4.3 and 4.0 percentage points respectively (Figure 3).
Non-store retailing provided the largest contribution to the growth in the amount spent and quantity bought at 1.6 percentage points for both measures.
Nôl i'r tabl cynnwys7. What’s the story in online sales?
Category | Year-on-year growth | Month-on- month growth | Online sales as a proportion of retailing | Index categories and their percentage weights | |
---|---|---|---|---|---|
All retailing¹ | 9.4 | -3.3 | 17.6 | 100.0 | |
All food | 0.3 | 3.9 | 5.7 | 13.3 | |
All non-food | 11.2 | -12.3 | 13.7 | 36.0 | |
Department stores | 1.7 | -22.8 | 15.8 | 8.7 | |
Textile, clothing and footwear stores | 6.4 | -22.5 | 16.5 | 12.6 | |
Household goods stores | 9.8 | -6.7 | 13.6 | 6.7 | |
Other stores | 30.5 | 13.4 | 10.5 | 8.1 | |
Non-store retailing | 11.0 | 1.4 | 74.5 | 50.7 |
Download this table Table 3: Summary of internet statistics, February 2019
.xls .csvTable 3 shows the month-on-month and year-on-year growth rates for online retailing, by sector, in addition to the proportion of online sales to all retail sales for non-seasonally adjusted data. The percentage weights indicate where money is spent online.
Online sales increased by 9.4% for the amount spent in February 2019 when compared with February 2018.
All non-food sectors reported falls on the month except other stores, reporting a strong increase of 13.4%.
Online sales as a total of all retailing decreased to 17.6% in February 2019, from the 18.8% reported in January 2019.
Nôl i'r tabl cynnwys9. Quality and methodology
Our Monthly Business Survey (MBS) for retail sales measures output from the retail industry in Great Britain. It samples 5,000 businesses, with all businesses employing over 100 people or with an annual turnover of more than £60 million receiving an online questionnaire every month.
Further qualitative data or information and summary tables can be found in the attached datasets. This includes data on:
response rates
standard errors
revision triangle
distribution analysis
The Retail sales Quality and Methodology Information report contains important information on:
the strengths and limitations of the data and how it compares with related data
uses and users of the data
how the output was created
the quality of the output including the accuracy of the data