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The current value of the Retail Sales Ex Fuel in United Kingdom is 0.2 %. The Retail Sales Ex Fuel in United Kingdom decreased to 0.2 % on 2/1/2024, after it was 3.6 % on 1/1/2024. From 2/1/1988 to 6/1/2024, the average GDP in United Kingdom was 0.17 %. The all-time high was reached on 6/1/2020 with 12.9 %, while the lowest value was recorded on 4/1/2020 with -14.7 %.
Retail Sales Ex Fuel ·
3 years
5 years
10 years
25 Years
Max
Retail Sales Excluding Fuel | |
---|---|
3/1/1988 | 0.4 % |
4/1/1988 | 1.4 % |
6/1/1988 | 1.1 % |
7/1/1988 | 1.3 % |
8/1/1988 | 0.1 % |
10/1/1988 | 1.7 % |
11/1/1988 | 0.5 % |
12/1/1988 | 0.2 % |
2/1/1989 | 0.7 % |
3/1/1989 | 0.1 % |
4/1/1989 | 0.6 % |
5/1/1989 | 1 % |
8/1/1989 | 1 % |
9/1/1989 | 0.4 % |
12/1/1989 | 0.8 % |
2/1/1990 | 1.3 % |
3/1/1990 | 0.3 % |
5/1/1990 | 2.2 % |
7/1/1990 | 1.6 % |
12/1/1990 | 1.2 % |
3/1/1991 | 3.1 % |
7/1/1991 | 1.8 % |
12/1/1991 | 0.4 % |
1/1/1992 | 0.5 % |
4/1/1992 | 1.2 % |
5/1/1992 | 1 % |
8/1/1992 | 2.1 % |
10/1/1992 | 0.3 % |
1/1/1993 | 1.8 % |
2/1/1993 | 0.2 % |
6/1/1993 | 1.2 % |
8/1/1993 | 1.2 % |
9/1/1993 | 0.3 % |
10/1/1993 | 0.3 % |
11/1/1993 | 0.2 % |
12/1/1993 | 0.4 % |
1/1/1994 | 1.2 % |
3/1/1994 | 1.3 % |
5/1/1994 | 1 % |
8/1/1994 | 1.1 % |
9/1/1994 | 0.5 % |
12/1/1994 | 0.1 % |
2/1/1995 | 1.6 % |
5/1/1995 | 0.3 % |
7/1/1995 | 0.8 % |
9/1/1995 | 0.4 % |
10/1/1995 | 0.5 % |
11/1/1995 | 0.5 % |
2/1/1996 | 2.6 % |
4/1/1996 | 1.1 % |
6/1/1996 | 0.4 % |
8/1/1996 | 0.4 % |
9/1/1996 | 1.4 % |
11/1/1996 | 0.4 % |
2/1/1997 | 1.1 % |
3/1/1997 | 0.6 % |
4/1/1997 | 1.1 % |
6/1/1997 | 1.1 % |
7/1/1997 | 0.4 % |
10/1/1997 | 1.5 % |
12/1/1997 | 0.6 % |
1/1/1998 | 0.3 % |
2/1/1998 | 0.1 % |
3/1/1998 | 0.2 % |
4/1/1998 | 0.1 % |
5/1/1998 | 1.1 % |
7/1/1998 | 0.7 % |
8/1/1998 | 0.4 % |
11/1/1998 | 0.6 % |
1/1/1999 | 1.2 % |
3/1/1999 | 0.5 % |
4/1/1999 | 0.1 % |
5/1/1999 | 1.2 % |
6/1/1999 | 0.2 % |
7/1/1999 | 0.1 % |
8/1/1999 | 0.6 % |
10/1/1999 | 0.4 % |
11/1/1999 | 0.4 % |
12/1/1999 | 0.5 % |
1/1/2000 | 2.2 % |
3/1/2000 | 0.8 % |
6/1/2000 | 0.3 % |
7/1/2000 | 0.3 % |
8/1/2000 | 1.2 % |
10/1/2000 | 0.7 % |
12/1/2000 | 0.1 % |
1/1/2001 | 1.8 % |
2/1/2001 | 1.2 % |
4/1/2001 | 0.4 % |
5/1/2001 | 1.9 % |
7/1/2001 | 1.1 % |
9/1/2001 | 0.9 % |
10/1/2001 | 0.7 % |
11/1/2001 | 1 % |
12/1/2001 | 0.7 % |
2/1/2002 | 1.5 % |
3/1/2002 | 0.3 % |
4/1/2002 | 1.7 % |
7/1/2002 | 1.8 % |
10/1/2002 | 0.5 % |
11/1/2002 | 0.6 % |
2/1/2003 | 0.3 % |
3/1/2003 | 0.5 % |
4/1/2003 | 0.9 % |
6/1/2003 | 1.4 % |
8/1/2003 | 0.1 % |
9/1/2003 | 0.8 % |
10/1/2003 | 0.3 % |
12/1/2003 | 0.4 % |
1/1/2004 | 2.3 % |
3/1/2004 | 1.1 % |
5/1/2004 | 1 % |
6/1/2004 | 0.2 % |
7/1/2004 | 0.1 % |
8/1/2004 | 0.1 % |
9/1/2004 | 0.7 % |
11/1/2004 | 0.4 % |
1/1/2005 | 0.8 % |
4/1/2005 | 0.8 % |
6/1/2005 | 0.5 % |
9/1/2005 | 0.4 % |
10/1/2005 | 0.7 % |
11/1/2005 | 0.7 % |
1/1/2006 | 0.1 % |
3/1/2006 | 0.6 % |
5/1/2006 | 0.7 % |
6/1/2006 | 0.3 % |
8/1/2006 | 0.3 % |
10/1/2006 | 1.3 % |
11/1/2006 | 0.2 % |
12/1/2006 | 1.4 % |
2/1/2007 | 1.3 % |
3/1/2007 | 0.4 % |
7/1/2007 | 0.2 % |
8/1/2007 | 0.8 % |
11/1/2007 | 0.2 % |
12/1/2007 | 0.1 % |
1/1/2008 | 0.1 % |
2/1/2008 | 1.7 % |
5/1/2008 | 2.7 % |
8/1/2008 | 0.1 % |
9/1/2008 | 0.3 % |
11/1/2008 | 0.3 % |
12/1/2008 | 0.1 % |
1/1/2009 | 0.8 % |
3/1/2009 | 1.2 % |
4/1/2009 | 0.5 % |
6/1/2009 | 0.9 % |
7/1/2009 | 0.4 % |
8/1/2009 | 0.2 % |
10/1/2009 | 0.2 % |
11/1/2009 | 0.1 % |
2/1/2010 | 3.1 % |
4/1/2010 | 0.5 % |
5/1/2010 | 0.2 % |
7/1/2010 | 0.3 % |
8/1/2010 | 0.3 % |
10/1/2010 | 0.2 % |
1/1/2011 | 1.4 % |
3/1/2011 | 0.2 % |
4/1/2011 | 1.2 % |
7/1/2011 | 0.3 % |
9/1/2011 | 0.2 % |
10/1/2011 | 0.9 % |
12/1/2011 | 0.6 % |
1/1/2012 | 0.3 % |
3/1/2012 | 1.7 % |
5/1/2012 | 1 % |
6/1/2012 | 0.5 % |
8/1/2012 | 0.3 % |
9/1/2012 | 0.2 % |
12/1/2012 | 1 % |
2/1/2013 | 1.7 % |
5/1/2013 | 1.6 % |
6/1/2013 | 0.7 % |
7/1/2013 | 0.1 % |
9/1/2013 | 1.1 % |
11/1/2013 | 1.1 % |
1/1/2014 | 0.8 % |
2/1/2014 | 0.4 % |
3/1/2014 | 0.8 % |
4/1/2014 | 0.5 % |
5/1/2014 | 0.2 % |
6/1/2014 | 0.3 % |
7/1/2014 | 0.1 % |
10/1/2014 | 0.8 % |
11/1/2014 | 0.6 % |
12/1/2014 | 1.6 % |
2/1/2015 | 1.2 % |
3/1/2015 | 0.5 % |
4/1/2015 | 0.5 % |
6/1/2015 | 0.4 % |
7/1/2015 | 0.1 % |
9/1/2015 | 2 % |
11/1/2015 | 0.6 % |
12/1/2015 | 0.7 % |
1/1/2016 | 1.3 % |
4/1/2016 | 1.1 % |
5/1/2016 | 1.6 % |
7/1/2016 | 1.7 % |
9/1/2016 | 0.5 % |
10/1/2016 | 1.9 % |
2/1/2017 | 0.9 % |
4/1/2017 | 1.8 % |
6/1/2017 | 1 % |
8/1/2017 | 1.1 % |
10/1/2017 | 0.5 % |
11/1/2017 | 0.1 % |
12/1/2017 | 0.2 % |
2/1/2018 | 0.3 % |
4/1/2018 | 1.5 % |
5/1/2018 | 1.9 % |
7/1/2018 | 1.1 % |
8/1/2018 | 0.5 % |
11/1/2018 | 1 % |
12/1/2018 | 0.5 % |
3/1/2019 | 0.7 % |
4/1/2019 | 0.1 % |
6/1/2019 | 1.5 % |
7/1/2019 | 0.9 % |
1/1/2020 | 1.2 % |
5/1/2020 | 11.2 % |
6/1/2020 | 12.9 % |
7/1/2020 | 2.7 % |
8/1/2020 | 1.1 % |
9/1/2020 | 1.5 % |
10/1/2020 | 0.8 % |
12/1/2020 | 2 % |
2/1/2021 | 1.7 % |
3/1/2021 | 3.8 % |
4/1/2021 | 8.4 % |
6/1/2021 | 0.6 % |
8/1/2021 | 0.1 % |
10/1/2021 | 0.6 % |
12/1/2021 | 0.9 % |
6/1/2022 | 0.4 % |
7/1/2022 | 0.5 % |
10/1/2022 | 0.7 % |
1/1/2023 | 0.2 % |
2/1/2023 | 0.8 % |
4/1/2023 | 0.9 % |
6/1/2023 | 0.8 % |
8/1/2023 | 0.5 % |
10/1/2023 | 0.2 % |
11/1/2023 | 1.5 % |
1/1/2024 | 3.6 % |
2/1/2024 | 0.2 % |
Retail Sales Ex Fuel History
Date | Value |
---|---|
2/1/2024 | 0.2 % |
1/1/2024 | 3.6 % |
11/1/2023 | 1.5 % |
10/1/2023 | 0.2 % |
8/1/2023 | 0.5 % |
6/1/2023 | 0.8 % |
4/1/2023 | 0.9 % |
2/1/2023 | 0.8 % |
1/1/2023 | 0.2 % |
10/1/2022 | 0.7 % |
Similar Macro Indicators to Retail Sales Ex Fuel
Name | Current | Previous | Frequency |
---|---|---|---|
🇬🇧 Bank loan interest rate | 6.25 % | 6.25 % | Monthly |
🇬🇧 CBI Sales Trade | 4 Net Balance | -27 Net Balance | Monthly |
🇬🇧 Consumer Confidence | -21 points | -20 points | Monthly |
🇬🇧 Consumer Loans | 1.231 B GBP | 1.352 B GBP | Monthly |
🇬🇧 Consumer spending | 387.7 B GBP | 387.026 B GBP | Quarter |
🇬🇧 Disposable Personal Income | 410.995 B GBP | 405.896 B GBP | Quarter |
🇬🇧 Gasoline Prices | 1.75 USD/Liter | 1.81 USD/Liter | Monthly |
🇬🇧 Household Debt to GDP | 78.8 % of GDP | 79.5 % of GDP | Quarter |
🇬🇧 Net Loans to Individuals MoM | 4.156 B GBP | 4.027 B GBP | Monthly |
🇬🇧 Personal Savings | 10 % | 8.9 % | Quarter |
🇬🇧 Retail Sales MoM | 1 % | 0.7 % | Monthly |
🇬🇧 Retail Sales YoY | -0.2 % | 1.7 % | Monthly |
In the United Kingdom, the Retail Sales report offers a comprehensive measure of the sales of retail goods and services over a defined time period. These sales are characterized by their seasonal nature, volatility, and significant impact on the overall economy.
Macro pages for other countries in Europe
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What is Retail Sales Ex Fuel?
Retail Sales Ex Fuel: A Comprehensive Analysis by Eulerpool Retail sales serve as a pivotal indicator of economic health, consumer confidence, and market trends. At Eulerpool, a leading platform for presenting macroeconomic data, we provide an incisive look into various economic segments. One such vital category is "Retail Sales Ex Fuel." This segment offers a distilled glimpse into consumer spending, excluding the often volatile fuel consumption, giving analysts and investors a clearer picture of underlying retail trends. The "Retail Sales Ex Fuel" metric holds immense relevance for economic analysts, policymakers, investors, and business leaders alike. It effectively strips away the noise generated by fluctuations in fuel prices, which can obscure genuine consumer behavior. By focusing solely on retail sales excluding fuel, we attain a more stable, representative measure of consumer spending patterns. To provide a foundation, retail sales data encompass transactions for both durable and nondurable goods. These sales figures often come from a variety of retail establishments, ranging from large department stores to small specialty shops. Excluding fuel sales from these figures helps isolate consumer spending on goods such as clothing, electronics, household items, and food, providing a more accurate read on economic activity. Fuel prices are notoriously volatile, influenced by geopolitical factors, supply chain disruptions, and varying consumer demand. This volatility can skew retail sales data, masking the genuine economic activity related to non-fuel goods. For instance, a sudden spike in fuel prices can inflate retail sales figures without reflecting any real growth in consumer spending on core goods. By excluding fuel, the "Retail Sales Ex Fuel" metric provides a more consistent and reliable measure, beneficial for long-term economic planning and analysis. Analyzing "Retail Sales Ex Fuel" allows for a deeper understanding of consumer confidence. Consumer spending is a crucial component of Gross Domestic Product (GDP), and retail sales data can indicate consumers' willingness to spend on discretionary items, which is a strong signal of economic health. For instance, an increase in retail sales excluding fuel could suggest that consumers feel financially secure enough to spend on non-essential goods, reflecting broader economic stability. Moreover, trends within "Retail Sales Ex Fuel" data can highlight shifts in consumer preferences and emerging market trends. For instance, a noticeable increase in sales of electronics and technology could indicate a growing consumer interest in new gadgets, influencing manufacturers, retailers, and even policymakers. Conversely, declining sales in categories such as apparel might suggest changing fashion trends or shifting economic priorities. From an investment perspective, "Retail Sales Ex Fuel" offers valuable insights. Investors scrutinize this data to make informed decisions about retail stocks, real estate investments, and overall market sentiment. For instance, consistent growth in this metric could be a bullish signal for retail stocks, suggesting strong consumer demand. In contrast, stagnation or decline might prompt investors to reconsider their positions or diversify into other sectors. Business leaders and retailers, in particular, benefit from analyzing "Retail Sales Ex Fuel" data. It enables them to align their inventory, marketing strategies, and financial planning with prevailing consumer trends. For instance, a spike in sales of home improvement products might prompt retailers to stock more related items, while a decline in certain categories could influence promotional strategies or even trigger revaluation of product lines. Policymakers also rely on this metric to gauge economic performance and formulate fiscal policies. "Retail Sales Ex Fuel" data can inform decisions on interest rates, taxation, and public spending. For example, if the data indicates robust consumer spending, policymakers might opt for tighter monetary policies to prevent overheating. Conversely, if the data shows a slowdown, they might introduce stimulus measures to boost consumer confidence and spending. The "Retail Sales Ex Fuel" category also reflects seasonal adjustments, accounting for cyclical spending patterns such as holiday shopping, back-to-school expenditures, or summer sales. Understanding these patterns is crucial for accurate economic forecasting, helping avoid over- or underestimation of retail sector performance in different periods. At Eulerpool, we emphasize the accuracy, granularity, and timeliness of our macroeconomic data offerings. Our "Retail Sales Ex Fuel" data is meticulously curated, offering daily, monthly, and yearly insights to cater to diverse analytical needs. We employ advanced analytical tools and algorithms, ensuring our users receive the most reliable and up-to-date information, empowering them to make informed decisions. In addition to raw data, Eulerpool offers comprehensive analyses, reports, and visualizations that enhance the interpretability of the "Retail Sales Ex Fuel" metric. These resources help users not only understand current trends but also predict future developments, fostering proactive decision-making. Furthermore, Eulerpool acknowledges the importance of contextual understanding. While "Retail Sales Ex Fuel" is a valuable metric, it gains enhanced significance when analyzed in conjunction with other economic indicators such as employment rates, wage growth, and inflation. This multi-faceted approach ensures a holistic view of the economy, providing richer insights and more nuanced understanding. In conclusion, the "Retail Sales Ex Fuel" category is a crucial element in the tapestry of macroeconomic analysis. By excluding the variable nature of fuel prices, it offers a clearer, steadier view of consumer spending, reflecting genuine economic activity. At Eulerpool, we are committed to delivering precise, insightful, and actionable macroeconomic data, empowering our users to navigate the complexities of the economic landscape with confidence and clarity. Whether you are an investor, business leader, analyst, or policymaker, our resources on "Retail Sales Ex Fuel" will equip you with the knowledge to make informed, strategic decisions.