1. Main points
- In the 3 months to June 2017, the quantity bought (volume) in the retail industry is estimated to have increased by 1.5%, with increases seen across all store types.
- The growth for Quarter 2 (Apr to June) 2017 follows a decline of 1.4% in Quarter 1 (Jan Mar) 2017, meaning we are broadly at the same level as at the start of 2017.
- Compared with May 2017, the quantity bought increased by 0.6%, with non-food stores providing the main contribution.
- Feedback from retailers suggests that warmer weather in addition to the introduction of summer clothing helped boost clothing sales.
- Average store prices (including petrol stations) increased by 2.7% on the year following a rise of 3.2% in May 2017; the fall is a consequence of slowing fuel prices.
- Online sales (excluding automotive fuel) increased year-on-year by 15.9% and by 1.8% on the month, accounting for approximately 16.2% of all retail spending.
2. Statistician’s comment
Commenting on today’s official retail figures, Kate Davies, Office for National Statistics Senior Statistician said:
“Today’s retail sales figures show overall growth. A particularly warm June seems to have prompted strong sales in clothing, which has compensated for a decline in food and fuel sales for the month.
"Looking at the quarterly data, the underlying trend as suggested by the three-month on three-month movement is one of growth, following a fall in quarter 1, suggesting a relatively flat first half of 2017."
Back to table of contents3. 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 period 28 May 2017 to 1 July 2017. Unless otherwise stated, the estimates in this release are seasonally adjusted.
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 inflation). Unless otherwise stated, all estimates included in this release are based on seasonally adjusted data.
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 Retail Sales Quality and Methodology Information report.
Back to table of contents4. Main figures
Table 1 shows the main retail sales growth rates for all retailing for both the value and volume of sales in June 2017.
Table 1: Main figures, June 2017
Seasonally adjusted, percentage change | ||||||
Great Britain | ||||||
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) | 5.7 | 5.6 | 0.4 | 1.6 | ||
Volume (quantity bought) | 2.9 | 2.6 | 0.6 | 1.5 | ||
Value (excluding automotive fuel) | 5.6 | 5.2 | 0.7 | 1.7 | ||
Volume (excluding automotive fuel) | 3.0 | 2.7 | 0.9 | 1.1 | ||
Source: Monthly Business Survey – Retail Sales Inquiry, Office for National Statistics |
Download this table Table 1: Main figures, June 2017
.xls (25.6 kB)In June 2017, both the amount spent (value) and the quantity bought (volume) in the retail industry increased.
The quantity bought increased by 2.9% compared with June 2016, the 50th consecutive period of year-on-year growth.
In Quarter 2 (Apr to June) 2017, the quantity bought increased by 1.5% following a decline in Quarter 1 (Jan to Mar) 2017.
Month-on-month, both the quantity bought and amount spent increased at a rate of 0.6% and 0.4% respectively.
Figure 1: Rolling 3 month on 3 month and monthly all retailing, seasonally adjusted sales volumes and implied deflator, non-seasonally adjusted
Great Britain, June 2010 to June 2017
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics
Download this chart Figure 1: Rolling 3 month on 3 month and monthly all retailing, seasonally adjusted sales volumes and implied deflator, non-seasonally adjusted
Image .csv .xlsFrom June 2013 the trend changes to one of strong growth, coinciding with falling prices. In January 2017, the quantity bought falls for 3 consecutive months for the 3-month on 3-month movement. This returns to growth in April 2017, while prices flatten.
The growth for Quarter 2 (Apr to June) 2017 follows a decline of 1.4% in Quarter 1 (Jan to Mar) 2017, meaning we are broadly at the same level as at the start of 2017.
Back to table of contents5. Focus on clothing
Figure 2: Clothing estimates, seasonally adjusted sales volumes, values and implied deflator, non-seasonally adjusted
Great Britain, January 2010 to June 2017
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics
Download this chart Figure 2: Clothing estimates, seasonally adjusted sales volumes, values and implied deflator, non-seasonally adjusted
Image .csv .xlsAs with all retail sales, the quantity bought in the clothing sector was relatively flat up to September 2013, while the amount spent increased with rising prices. As prices level out and remain flat from September 2013, increases seen in the value and volume are reflective of increased consumer demand in clothing.
Following a short period of growth between September 2013 and June 2015, the trend in clothing sales began to decline in June 2015, as with all retail sales (Figure 2).
From around March 2016, the amount spent and quantity bought becomes more volatile and while there is an upwards trend, this volatility somewhat masks this.
A more sustained period of growth in recent months has reduced this volatility. In June 2017, clothing sales for month-on-month, year-on-year, and 3-month on 3-month movements have all increased at 0.4%, 6.2% and 1.1% respectively. Feedback from retailers suggests that growth in this month is a consequence of warmer temperatures coinciding with the introduction of summer clothing.
Clothing is one of the main sectors affected by weather, where unseasonal weather effects sales more than seasonal weather. However, the relatively recent poor performance in this industry has meant that the warmer summer weather in June 2017 has had a positive effect.
Back to table of contents6. Month-on-month movement
Table 2: Monthly sector summary, June 2017
Seasonally adjusted | ||||||||||
Great Britain | ||||||||||
Percentage change over 1 month | ||||||||||
Quantity bought (volume) | Amount spent (value) | Average store price | ||||||||
Predominantly food stores¹ | -0.5 | -0.5 | -0.2 | |||||||
Predominantly non-food stores² | 1.8 | 1.5 | -0.5 | |||||||
Non-specialised stores³ | 2.7 | 2.5 | -0.4 | |||||||
Textile, clothing and footwear stores | 0.4 | 0.3 | -0.8 | |||||||
Household goods stores | 3.3 | 2.7 | -0.3 | |||||||
Other stores | 1.5 | 1.1 | -0.5 | |||||||
Non-store retailing | 2.8 | 2.6 | -0.4 | |||||||
Fuel stores | -2.0 | -2.2 | -1.0 | |||||||
Total | 0.6 | 0.4 | -0.4 | |||||||
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics | ||||||||||
Notes: | ||||||||||
1. Supermarkets, specialist food stores and sales of alcoholic drinks and tobacco. | ||||||||||
2. Non-specialised stores, textiles, clothing and footwear, household goods and other stores. | ||||||||||
3. Department stores. |
Download this table Table 2: Monthly sector summary, June 2017
.xls (27.1 kB)Month-on-month there was an increase in the quantity bought for all sectors, except predominantly food stores and fuel, which demonstrated a decline of 0.5% and 2.0% respectively.
Figure 3: Contributions to month-on-month volume and value growth from the four main retail sectors (June 2017 compared with May 2017)
Great Britain
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics
Download this chart Figure 3: Contributions to month-on-month volume and value growth from the four main retail sectors (June 2017 compared with May 2017)
Image .csv .xlsThe monthly picture, as shown in Figure 3, indicates that the largest contribution to the growth in both quantity bought and amount spent came from non-food stores. Figure 3 illustrates that non-essential items have done well in June 2017, while the essential items such as food and fuel have seen falls on the month. However, some caution should be taken when looking at one month’s figures.
Back to table of contents7. Year-on-year movement
Table 3: Sector summary, June 2017
Seasonally adjusted | |||||
Great Britain | |||||
Percentage change over 12 months | Average weekly sales (£ billion) | ||||
Quantity bought (volume) | Amount spent (value) | Average store price | |||
Predominantly food stores¹ | -0.4 | 2.1 | 2.5 | 3.0 | |
Predominantly non-food stores² | 3.3 | 5.8 | 2.5 | 3.3 | |
Non-specialised stores³ | 4.0 | 6.1 | 2.1 | 0.7 | |
Textile, clothing and footwear stores | 6.2 | 9.1 | 2.7 | 0.9 | |
Household goods stores | 1.5 | 4.2 | 2.7 | 0.6 | |
Other stores | 1.5 | 3.8 | 2.5 | 1.0 | |
Non-store retailing | 17.6 | 21.2 | 2.6 | 0.8 | |
Fuel stores | 2.6 | 6.5 | 4.0 | 0.7 | |
Total | 2.9 | 5.7 | 2.7 | 7.8 | |
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics | |||||
Notes: | |||||
1. Supermarkets, specialist food stores and sales of alcoholic drinks and tobacco. | |||||
2. Non-specialised stores, textiles, clothing and footwear, household goods and other stores. | |||||
3. Department stores. |
Download this table Table 3: Sector summary, June 2017
.xls (27.1 kB)The overall growth of 5.7% in amount spent can be attributed to the growth seen within all sectors (Table 3).
Excluding predominantly food stores, all other main sectors within the retail industry increased in the quantity bought when compared with June 2016.
The quantity bought in food stores decreased by 0.4%; this is the lowest since July 2014, which decreased by 1.4%. In contrast, the amount spent within predominantly food stores increased to 2.1%. The average store price within predominantly food stores continued to grow at the same rate as May 2017, at 2.5% year-on-year.
Back to table of contents8. What’s the story in online sales?
Internet sales are estimates of how much was spent online through retailers across all store types in Great Britain.
Table 4: Summary of internet statistics, June 2017
Value seasonally adjusted, percentage rates | |||
Great Britain | |||
Category | Year-on-year growth | Sales as a proportion of all retailing | Index categories and their percentage weights |
All retailing | 15.9 | 16.2 | 100 |
All food | 4.1 | 4.9 | 14.3 |
All non-food | 12.8 | 12.0 | 35.0 |
Department stores | 15.6 | 14.0 | 8.5 |
Textile, clothing and footwear stores | 14.8 | 14.5 | 12.1 |
Household goods stores | 8.4 | 10.4 | 6.3 |
Other stores | 10.3 | 9.3 | 8.1 |
Non-store retailing | 21.6 | 79.6 | 50.7 |
Source: Monthly Business Survey - Retail Sales Inquiry, Office for National Statistics |
Download this table Table 4: Summary of internet statistics, June 2017
.xls (27.6 kB)In June 2017:
- average weekly spending online was £1.1 billion; an increase of 15.9% compared with June 2016
- the amount spent (value) online accounted for 16.2% of all retail spending, excluding automotive fuel, compared with 16.0% in May 2017
10. 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