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The current value of the Retail Sales Year-over-Year (YoY) in Germany is 0.5 %. The Retail Sales Year-over-Year (YoY) in Germany decreased to 0.5 % on 3/1/2022, after it was 10.9 % on 2/1/2022. From 1/1/1995 to 4/1/2024, the average GDP in Germany was 0.52 %. The all-time high was reached on 1/1/2022 with 14.2 %, while the lowest value was recorded on 3/1/2023 with -7.8 %.
Retail Sales Year-over-Year (YoY) ·
3 years
5 years
10 years
25 Years
Max
Retail Sales YoY | |
---|---|
2/1/1995 | 1.8 % |
3/1/1995 | 1.6 % |
4/1/1995 | 0.8 % |
5/1/1995 | 3.8 % |
6/1/1995 | 3.1 % |
7/1/1995 | 2.7 % |
8/1/1995 | 1.5 % |
9/1/1995 | 0.4 % |
11/1/1995 | 1.7 % |
1/1/1996 | 1.5 % |
4/1/1996 | 1 % |
9/1/1996 | 0.1 % |
6/1/1997 | 0.2 % |
10/1/1997 | 0.1 % |
2/1/1998 | 0.3 % |
3/1/1998 | 2.5 % |
7/1/1998 | 1.4 % |
8/1/1998 | 2.5 % |
9/1/1998 | 0.5 % |
11/1/1998 | 3.7 % |
12/1/1998 | 2.1 % |
1/1/1999 | 1 % |
2/1/1999 | 1 % |
6/1/1999 | 1 % |
8/1/1999 | 0.8 % |
10/1/1999 | 0.1 % |
12/1/1999 | 0.1 % |
2/1/2000 | 0.3 % |
4/1/2000 | 3.1 % |
5/1/2000 | 3.1 % |
6/1/2000 | 1 % |
7/1/2000 | 1.5 % |
8/1/2000 | 0.5 % |
9/1/2000 | 3 % |
10/1/2000 | 0.4 % |
11/1/2000 | 0.2 % |
12/1/2000 | 0.9 % |
1/1/2001 | 3.4 % |
3/1/2001 | 1.6 % |
6/1/2001 | 0.4 % |
7/1/2001 | 0.4 % |
9/1/2001 | 0.4 % |
11/1/2001 | 1.3 % |
10/1/2002 | 0.5 % |
1/1/2004 | 1.1 % |
2/1/2004 | 1.3 % |
3/1/2004 | 2.3 % |
4/1/2004 | 2.6 % |
6/1/2004 | 1.6 % |
7/1/2004 | 1.7 % |
8/1/2004 | 1.5 % |
9/1/2004 | 1.1 % |
11/1/2004 | 2.2 % |
12/1/2004 | 3 % |
1/1/2005 | 3.5 % |
2/1/2005 | 1.5 % |
3/1/2005 | 1.2 % |
5/1/2005 | 2.1 % |
6/1/2005 | 1.3 % |
7/1/2005 | 1.3 % |
8/1/2005 | 2.2 % |
9/1/2005 | 1.4 % |
10/1/2005 | 2 % |
11/1/2005 | 0.8 % |
12/1/2005 | 1 % |
2/1/2006 | 0.3 % |
4/1/2006 | 0.8 % |
5/1/2006 | 1.5 % |
6/1/2006 | 1.1 % |
8/1/2006 | 0.2 % |
12/1/2006 | 4.2 % |
3/1/2007 | 0.2 % |
4/1/2007 | 2.5 % |
9/1/2007 | 0.2 % |
1/1/2008 | 1.2 % |
5/1/2008 | 0.5 % |
9/1/2008 | 0.9 % |
11/1/2008 | 1.7 % |
12/1/2008 | 1.3 % |
2/1/2010 | 0.9 % |
3/1/2010 | 1.3 % |
5/1/2010 | 2.1 % |
6/1/2010 | 4.3 % |
7/1/2010 | 3 % |
8/1/2010 | 3.2 % |
9/1/2010 | 1.6 % |
10/1/2010 | 1.3 % |
11/1/2010 | 0.9 % |
1/1/2011 | 3.4 % |
2/1/2011 | 2.9 % |
4/1/2011 | 1.7 % |
6/1/2011 | 0.6 % |
7/1/2011 | 0.2 % |
8/1/2011 | 1.1 % |
9/1/2011 | 1.1 % |
10/1/2011 | 1.6 % |
11/1/2011 | 0.9 % |
12/1/2011 | 1.1 % |
3/1/2012 | 1.6 % |
5/1/2012 | 2.6 % |
6/1/2012 | 0.5 % |
9/1/2012 | 0.2 % |
12/1/2012 | 0.1 % |
1/1/2013 | 1.7 % |
2/1/2013 | 0.3 % |
3/1/2013 | 0.3 % |
5/1/2013 | 0.6 % |
7/1/2013 | 0.6 % |
8/1/2013 | 0.3 % |
9/1/2013 | 0.5 % |
10/1/2013 | 0.3 % |
11/1/2013 | 2 % |
12/1/2013 | 0.9 % |
1/1/2014 | 0.6 % |
2/1/2014 | 1.6 % |
3/1/2014 | 1.5 % |
4/1/2014 | 1.7 % |
6/1/2014 | 2.4 % |
8/1/2014 | 1.9 % |
9/1/2014 | 0.1 % |
10/1/2014 | 1.8 % |
11/1/2014 | 0.3 % |
12/1/2014 | 2.4 % |
1/1/2015 | 2.9 % |
2/1/2015 | 2.4 % |
3/1/2015 | 1.5 % |
4/1/2015 | 2.8 % |
5/1/2015 | 4.9 % |
6/1/2015 | 2.6 % |
7/1/2015 | 5.8 % |
8/1/2015 | 3.5 % |
9/1/2015 | 5.1 % |
10/1/2015 | 3.9 % |
11/1/2015 | 3.9 % |
12/1/2015 | 5.3 % |
1/1/2016 | 3.2 % |
2/1/2016 | 2.6 % |
3/1/2016 | 2.5 % |
4/1/2016 | 1.7 % |
5/1/2016 | 1 % |
6/1/2016 | 1.2 % |
7/1/2016 | 1.2 % |
8/1/2016 | 2 % |
9/1/2016 | 0.5 % |
10/1/2016 | 3.8 % |
11/1/2016 | 1.8 % |
12/1/2016 | 2.2 % |
1/1/2017 | 1.3 % |
2/1/2017 | 2.3 % |
3/1/2017 | 5.4 % |
4/1/2017 | 3.9 % |
5/1/2017 | 4.3 % |
6/1/2017 | 5.2 % |
7/1/2017 | 3.6 % |
8/1/2017 | 2.6 % |
9/1/2017 | 5.8 % |
10/1/2017 | 1 % |
11/1/2017 | 4.1 % |
12/1/2017 | 3.4 % |
1/1/2018 | 2.8 % |
2/1/2018 | 1.4 % |
3/1/2018 | 0.5 % |
4/1/2018 | 4.1 % |
5/1/2018 | 1.3 % |
6/1/2018 | 1.8 % |
7/1/2018 | 2 % |
8/1/2018 | 2.2 % |
9/1/2018 | 0.3 % |
10/1/2018 | 2.6 % |
11/1/2018 | 1.7 % |
1/1/2019 | 3.8 % |
2/1/2019 | 5 % |
3/1/2019 | 3.7 % |
4/1/2019 | 1.8 % |
5/1/2019 | 1.4 % |
6/1/2019 | 3.9 % |
7/1/2019 | 3.2 % |
8/1/2019 | 3.5 % |
9/1/2019 | 4.2 % |
10/1/2019 | 2.4 % |
11/1/2019 | 3.1 % |
12/1/2019 | 3.4 % |
1/1/2020 | 2.4 % |
2/1/2020 | 2.2 % |
3/1/2020 | 0.9 % |
5/1/2020 | 8.1 % |
6/1/2020 | 4.3 % |
7/1/2020 | 4.9 % |
8/1/2020 | 7 % |
9/1/2020 | 5.5 % |
10/1/2020 | 9.1 % |
11/1/2020 | 9.4 % |
12/1/2020 | 3.7 % |
3/1/2021 | 7.7 % |
4/1/2021 | 7.2 % |
6/1/2021 | 5 % |
12/1/2021 | 2.1 % |
1/1/2022 | 14.2 % |
2/1/2022 | 10.9 % |
3/1/2022 | 0.5 % |
Retail Sales Year-over-Year (YoY) History
Date | Value |
---|---|
3/1/2022 | 0.5 % |
2/1/2022 | 10.9 % |
1/1/2022 | 14.2 % |
12/1/2021 | 2.1 % |
6/1/2021 | 5 % |
4/1/2021 | 7.2 % |
3/1/2021 | 7.7 % |
12/1/2020 | 3.7 % |
11/1/2020 | 9.4 % |
10/1/2020 | 9.1 % |
Similar Macro Indicators to Retail Sales Year-over-Year (YoY)
Name | Current | Previous | Frequency |
---|---|---|---|
🇩🇪 Bank loan interest rate | 5.13 % | 5.28 % | Monthly |
🇩🇪 Consumer Confidence | -21.2 points | -21.9 points | Monthly |
🇩🇪 Consumer Loans | 234.072 B EUR | 234.391 B EUR | Quarter |
🇩🇪 Consumer spending | 470.736 B EUR | 469.831 B EUR | Quarter |
🇩🇪 Disposable Personal Income | 606.751 B EUR | 595.961 B EUR | Quarter |
🇩🇪 Gasoline Prices | 1.81 USD/Liter | 1.81 USD/Liter | Monthly |
🇩🇪 Household Debt to GDP | 52.1 % of GDP | 52.8 % of GDP | Quarter |
🇩🇪 Household Debt to Income | 81.91 % | 86.2 % | Annually |
🇩🇪 Personal Savings | 11.8 % | 11.4 % | Quarter |
🇩🇪 Private Sector Credit | 3.725 T EUR | 3.718 T EUR | Monthly |
🇩🇪 Retail Sales MoM | -1.2 % | 2.6 % | Monthly |
In Germany, the year-over-year change in retail sales measures the aggregated sales of retail goods and services for a specific month compared to the same month in the previous year.
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
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- 🇷🇴Romania
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- 🇨🇭Switzerland
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- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Retail Sales Year-over-Year (YoY)?
Retail Sales YoY: Understanding the Vital Indicator of Economic Health Retail Sales Year-over-Year (YoY) is a crucial macroeconomic indicator, encapsulating the pulse of consumer spending and providing key insights into the trajectory of economic health. Eulerpool, your professional resource for macroeconomic data, brings you a comprehensive overview of this vital metric, elucidating its intricacies, implications, and significance in the broader economic landscape. Retail Sales YoY measures the percentage change in the total retail sales from one year to the same period in the previous year. It encapsulates consumer demand trends, shifts in consumer behavior, and the overall economic vitality of a nation. By comparing retail sales over a year, analysts and policymakers can deduce whether consumer spending is increasing, shrinking, or stagnating, which in turn reflects broader economic tendencies. Consumer spending is a cornerstone of economic activity, often accounting for a substantial portion of gross domestic product (GDP) in many countries. Therefore, declining retail sales can signal a potential economic downturn, prompting concerns about recessionary conditions. Conversely, increasing retail sales typically indicate robust consumer confidence and economic expansion, suggesting an upswing in GDP. Several factors influence Retail Sales YoY, making it essential for analysts to look beyond the surface numbers to understand the underlying causes. For instance, inflation can distort retail sales figures. If sales are up but inflation is high, the apparent growth might simply reflect higher prices rather than increased consumer spending. Adjusting for inflation to obtain real retail sales growth provides a clearer picture of consumer activity. Seasonality is another crucial factor. Retail sales often spike during certain periods, particularly in holiday seasons like Christmas, Thanksgiving, or Black Friday. Analysts must account for seasonal adjustments to ensure an accurate year-over-year comparison that is not skewed by temporary spikes or troughs in consumer purchasing behavior. Furthermore, external shocks such as pandemics, natural disasters, or geopolitical events can significantly impact retail sales. The COVID-19 pandemic, for example, caused unprecedented disruptions, dramatically altering consumer behavior and retail patterns. Such events necessitate a nuanced interpretation of Retail Sales YoY data to distinguish temporary aberrations from long-term trends. Diving deeper, Retail Sales YoY data can be dissected into subcategories, offering granular insights. Different segments of the retail market, such as automotive, furniture, electronics, food and beverages, and clothing, may exhibit varying trends. For instance, an increase in automotive sales might indicate rising consumer confidence and willingness to make substantial investments, while a decline in clothing sales could suggest tightening budgets or shifting spending priorities. Retail Sales YoY also serves as a leading indicator for employment trends. A thriving retail sector often translates into higher employment rates within the industry, given the labor-intensive nature of retail operations. Thus, upward trends in retail sales can herald job creation and reduced unemployment rates, contributing positively to the overall economic milieu. Moreover, businesses and investors closely monitor Retail Sales YoY to make informed decisions. Retail companies use this data to strategize inventory management, marketing campaigns, and expansion plans. A positive YoY growth may encourage businesses to expand their operations, launch new products, or increase their workforce, while a negative trend might prompt cost-cutting measures and reevaluation of business strategies. Investors, on the other hand, scrutinize Retail Sales YoY to gauge the economic environment and make investment decisions. Strong retail sales growth can boost investor confidence, driving stock market indices higher, particularly for retail companies or industries closely tied to consumer spending. Conversely, declining sales might trigger market corrections, influencing investment portfolios and capital flows. Policymakers, too, rely on Retail Sales YoY data to frame economic policies. Central banks, for example, may use these insights to adjust monetary policies such as interest rates. A slowdown in retail sales might prompt rate cuts to spur borrowing and spending, while robust sales might lead to rate hikes to curb potential inflationary pressures. In the global context, Retail Sales YoY data from major economies like the United States, China, the European Union, and Japan significantly impacts global markets. These economies serve as economic bellwethers, and their retail sales trends can influence global trade flows, stock markets, and economic policies across the world. At Eulerpool, we understand that comprehending Retail Sales YoY is not merely about reading the numbers but about deciphering the story they tell about an economy’s health. Our robust and detailed datasets empower analysts, policymakers, investors, and businesses to make data-driven decisions, ensuring strategic foresight in an ever-changing economic landscape. In conclusion, Retail Sales YoY is a pivotal macroeconomic indicator reflecting consumer behavior, economic vitality, and broader economic trends. Its comprehensive analysis provides essential insights into the state and trajectory of an economy, influencing decisions across the spectrum of businesses, investments, and policy-making. Stay informed and ahead with Eulerpool, your trusted source for macroeconomic data. Understanding the multifaceted nature of Retail Sales YoY and its implications allows stakeholders to navigate the economic terrain with clarity and confidence, driving informed, strategic actions in a dynamic global economy.