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The current value of the North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY) in Germany is 1.7 %. The North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY) in Germany decreased to 1.7 % on 8/1/2024, after it was 2.3 % on 7/1/2024. From 1/1/1996 to 9/1/2024, the average GDP in Germany was 1.81 %. The all-time high was reached on 10/1/2022 with 9.4 %, while the lowest value was recorded on 7/1/2020 with -0.8 %.
North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY) ·
3 years
5 years
10 years
25 Years
Max
Consumer Price Index North Rhine-Westphalia YoY | |
---|---|
1/1/1996 | 1.4 % |
2/1/1996 | 1.4 % |
3/1/1996 | 1.4 % |
4/1/1996 | 1.1 % |
5/1/1996 | 1.4 % |
6/1/1996 | 1.1 % |
7/1/1996 | 1.3 % |
8/1/1996 | 1.4 % |
9/1/1996 | 1.4 % |
10/1/1996 | 1.4 % |
11/1/1996 | 1.4 % |
12/1/1996 | 1.5 % |
1/1/1997 | 2.1 % |
2/1/1997 | 2.2 % |
3/1/1997 | 2.1 % |
4/1/1997 | 1.8 % |
5/1/1997 | 1.8 % |
6/1/1997 | 1.9 % |
7/1/1997 | 2.2 % |
8/1/1997 | 2.4 % |
9/1/1997 | 2.1 % |
10/1/1997 | 1.9 % |
11/1/1997 | 1.9 % |
12/1/1997 | 1.8 % |
1/1/1998 | 1.2 % |
2/1/1998 | 0.8 % |
3/1/1998 | 0.5 % |
4/1/1998 | 1 % |
5/1/1998 | 1.2 % |
6/1/1998 | 1.2 % |
7/1/1998 | 0.9 % |
8/1/1998 | 0.7 % |
9/1/1998 | 0.8 % |
10/1/1998 | 0.7 % |
11/1/1998 | 0.7 % |
12/1/1998 | 0.5 % |
1/1/1999 | 0.3 % |
2/1/1999 | 0.3 % |
3/1/1999 | 0.7 % |
4/1/1999 | 0.9 % |
5/1/1999 | 0.5 % |
6/1/1999 | 0.5 % |
7/1/1999 | 0.7 % |
8/1/1999 | 0.8 % |
9/1/1999 | 0.8 % |
10/1/1999 | 1.1 % |
11/1/1999 | 1.1 % |
12/1/1999 | 1.4 % |
1/1/2000 | 2 % |
2/1/2000 | 1.8 % |
3/1/2000 | 1.8 % |
4/1/2000 | 1.3 % |
5/1/2000 | 1.1 % |
6/1/2000 | 1.3 % |
7/1/2000 | 1.5 % |
8/1/2000 | 1.2 % |
9/1/2000 | 1.6 % |
10/1/2000 | 1.5 % |
11/1/2000 | 1.6 % |
12/1/2000 | 2.3 % |
1/1/2001 | 1.5 % |
2/1/2001 | 2 % |
3/1/2001 | 2 % |
4/1/2001 | 2.4 % |
5/1/2001 | 2.8 % |
6/1/2001 | 2.5 % |
7/1/2001 | 2.1 % |
8/1/2001 | 2.1 % |
9/1/2001 | 1.8 % |
10/1/2001 | 1.7 % |
11/1/2001 | 1.3 % |
12/1/2001 | 1.4 % |
1/1/2002 | 2 % |
2/1/2002 | 1.8 % |
3/1/2002 | 1.8 % |
4/1/2002 | 1.4 % |
5/1/2002 | 1.2 % |
6/1/2002 | 1 % |
7/1/2002 | 1.2 % |
8/1/2002 | 1.3 % |
9/1/2002 | 1.2 % |
10/1/2002 | 1.4 % |
11/1/2002 | 1.2 % |
12/1/2002 | 1 % |
1/1/2003 | 0.9 % |
2/1/2003 | 1 % |
3/1/2003 | 1.1 % |
4/1/2003 | 0.9 % |
5/1/2003 | 0.6 % |
6/1/2003 | 0.9 % |
7/1/2003 | 0.9 % |
8/1/2003 | 1.1 % |
9/1/2003 | 1.1 % |
10/1/2003 | 1 % |
11/1/2003 | 1.4 % |
12/1/2003 | 1.3 % |
1/1/2004 | 1.3 % |
2/1/2004 | 0.9 % |
3/1/2004 | 1 % |
4/1/2004 | 1.4 % |
5/1/2004 | 1.9 % |
6/1/2004 | 1.8 % |
7/1/2004 | 1.8 % |
8/1/2004 | 1.8 % |
9/1/2004 | 1.6 % |
10/1/2004 | 1.9 % |
11/1/2004 | 1.6 % |
12/1/2004 | 2.3 % |
1/1/2005 | 1.6 % |
2/1/2005 | 1.9 % |
3/1/2005 | 2 % |
4/1/2005 | 1.6 % |
5/1/2005 | 1.5 % |
6/1/2005 | 1.5 % |
7/1/2005 | 1.6 % |
8/1/2005 | 1.5 % |
9/1/2005 | 2 % |
10/1/2005 | 2 % |
11/1/2005 | 2 % |
12/1/2005 | 1.4 % |
1/1/2006 | 1.5 % |
2/1/2006 | 1.6 % |
3/1/2006 | 1.2 % |
4/1/2006 | 1.7 % |
5/1/2006 | 1.6 % |
6/1/2006 | 1.6 % |
7/1/2006 | 1.6 % |
8/1/2006 | 1.3 % |
9/1/2006 | 0.9 % |
10/1/2006 | 0.9 % |
11/1/2006 | 1.2 % |
12/1/2006 | 1.1 % |
1/1/2007 | 1.5 % |
2/1/2007 | 1.5 % |
3/1/2007 | 1.7 % |
4/1/2007 | 2.1 % |
5/1/2007 | 1.9 % |
6/1/2007 | 1.9 % |
7/1/2007 | 1.9 % |
8/1/2007 | 2 % |
9/1/2007 | 2.7 % |
10/1/2007 | 2.5 % |
11/1/2007 | 3.1 % |
12/1/2007 | 3 % |
1/1/2008 | 2.8 % |
2/1/2008 | 2.7 % |
3/1/2008 | 3 % |
4/1/2008 | 2.1 % |
5/1/2008 | 2.8 % |
6/1/2008 | 3 % |
7/1/2008 | 3.2 % |
8/1/2008 | 3 % |
9/1/2008 | 2.5 % |
10/1/2008 | 2.4 % |
11/1/2008 | 1.2 % |
12/1/2008 | 1 % |
1/1/2009 | 0.8 % |
2/1/2009 | 0.9 % |
3/1/2009 | 0.3 % |
4/1/2009 | 0.7 % |
11/1/2009 | 0.2 % |
12/1/2009 | 0.8 % |
1/1/2010 | 0.8 % |
2/1/2010 | 0.6 % |
3/1/2010 | 1.2 % |
4/1/2010 | 1 % |
5/1/2010 | 1 % |
6/1/2010 | 0.8 % |
7/1/2010 | 0.9 % |
8/1/2010 | 0.8 % |
9/1/2010 | 1 % |
10/1/2010 | 1.3 % |
11/1/2010 | 1.6 % |
12/1/2010 | 1.4 % |
1/1/2011 | 1.7 % |
2/1/2011 | 1.9 % |
3/1/2011 | 1.9 % |
4/1/2011 | 2.1 % |
5/1/2011 | 2.2 % |
6/1/2011 | 2.2 % |
7/1/2011 | 2.5 % |
8/1/2011 | 2.3 % |
9/1/2011 | 2.7 % |
10/1/2011 | 2.4 % |
11/1/2011 | 2.4 % |
12/1/2011 | 1.8 % |
1/1/2012 | 1.9 % |
2/1/2012 | 2 % |
3/1/2012 | 2.1 % |
4/1/2012 | 1.9 % |
5/1/2012 | 1.8 % |
6/1/2012 | 1.6 % |
7/1/2012 | 1.6 % |
8/1/2012 | 2.1 % |
9/1/2012 | 1.8 % |
10/1/2012 | 1.9 % |
11/1/2012 | 1.9 % |
12/1/2012 | 2 % |
1/1/2013 | 1.7 % |
2/1/2013 | 1.7 % |
3/1/2013 | 1.4 % |
4/1/2013 | 1.1 % |
5/1/2013 | 1.6 % |
6/1/2013 | 2 % |
7/1/2013 | 2.2 % |
8/1/2013 | 1.7 % |
9/1/2013 | 1.5 % |
10/1/2013 | 1.4 % |
11/1/2013 | 1.6 % |
12/1/2013 | 1.8 % |
1/1/2014 | 1.7 % |
2/1/2014 | 1.6 % |
3/1/2014 | 1.4 % |
4/1/2014 | 1.8 % |
5/1/2014 | 1.2 % |
6/1/2014 | 1.4 % |
7/1/2014 | 1 % |
8/1/2014 | 1.1 % |
9/1/2014 | 1.2 % |
10/1/2014 | 1.1 % |
11/1/2014 | 0.7 % |
12/1/2014 | 0.2 % |
3/1/2015 | 0.2 % |
4/1/2015 | 0.7 % |
5/1/2015 | 1.2 % |
6/1/2015 | 0.9 % |
7/1/2015 | 0.8 % |
8/1/2015 | 0.8 % |
9/1/2015 | 0.6 % |
10/1/2015 | 0.9 % |
11/1/2015 | 0.2 % |
12/1/2015 | 0.3 % |
1/1/2016 | 0.4 % |
2/1/2016 | 0.2 % |
3/1/2016 | 0.4 % |
5/1/2016 | 0.2 % |
6/1/2016 | 0.3 % |
7/1/2016 | 0.5 % |
8/1/2016 | 0.3 % |
9/1/2016 | 0.5 % |
10/1/2016 | 0.7 % |
11/1/2016 | 0.6 % |
12/1/2016 | 1.5 % |
1/1/2017 | 1.7 % |
2/1/2017 | 1.9 % |
3/1/2017 | 1.4 % |
4/1/2017 | 1.8 % |
5/1/2017 | 1.2 % |
6/1/2017 | 1.4 % |
7/1/2017 | 1.5 % |
8/1/2017 | 1.7 % |
9/1/2017 | 1.6 % |
10/1/2017 | 1.3 % |
11/1/2017 | 1.6 % |
12/1/2017 | 1.1 % |
1/1/2018 | 1.3 % |
2/1/2018 | 0.9 % |
3/1/2018 | 1.4 % |
4/1/2018 | 1.1 % |
5/1/2018 | 2 % |
6/1/2018 | 1.8 % |
7/1/2018 | 1.8 % |
8/1/2018 | 1.8 % |
9/1/2018 | 2.1 % |
10/1/2018 | 2.3 % |
11/1/2018 | 2.1 % |
12/1/2018 | 1.7 % |
1/1/2019 | 1.5 % |
2/1/2019 | 1.7 % |
3/1/2019 | 1.4 % |
4/1/2019 | 2.3 % |
5/1/2019 | 1.6 % |
6/1/2019 | 1.7 % |
7/1/2019 | 1.7 % |
8/1/2019 | 1.5 % |
9/1/2019 | 1.3 % |
10/1/2019 | 1.3 % |
11/1/2019 | 1.2 % |
12/1/2019 | 1.7 % |
1/1/2020 | 2.4 % |
2/1/2020 | 2.1 % |
3/1/2020 | 1.8 % |
4/1/2020 | 0.9 % |
5/1/2020 | 0.7 % |
6/1/2020 | 0.6 % |
11/1/2020 | 0.1 % |
1/1/2021 | 1.1 % |
2/1/2021 | 1.4 % |
3/1/2021 | 1.7 % |
4/1/2021 | 1.9 % |
5/1/2021 | 2.3 % |
6/1/2021 | 2.5 % |
7/1/2021 | 4 % |
8/1/2021 | 4 % |
9/1/2021 | 4.2 % |
10/1/2021 | 4.4 % |
11/1/2021 | 4.8 % |
12/1/2021 | 5 % |
1/1/2022 | 4.3 % |
2/1/2022 | 4.5 % |
3/1/2022 | 6.3 % |
4/1/2022 | 6.6 % |
5/1/2022 | 7.1 % |
6/1/2022 | 6.7 % |
7/1/2022 | 6.8 % |
8/1/2022 | 7.1 % |
9/1/2022 | 8.8 % |
10/1/2022 | 9.4 % |
11/1/2022 | 9 % |
12/1/2022 | 8.1 % |
1/1/2023 | 8.3 % |
2/1/2023 | 8.5 % |
3/1/2023 | 6.9 % |
4/1/2023 | 6.7 % |
5/1/2023 | 5.7 % |
6/1/2023 | 6.2 % |
7/1/2023 | 5.8 % |
8/1/2023 | 5.9 % |
9/1/2023 | 4.2 % |
10/1/2023 | 3.1 % |
11/1/2023 | 3 % |
12/1/2023 | 3.5 % |
1/1/2024 | 3 % |
2/1/2024 | 2.6 % |
3/1/2024 | 2.3 % |
4/1/2024 | 2.3 % |
5/1/2024 | 2.5 % |
6/1/2024 | 2.2 % |
7/1/2024 | 2.3 % |
8/1/2024 | 1.7 % |
North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY) History
Date | Value |
---|---|
8/1/2024 | 1.7 % |
7/1/2024 | 2.3 % |
6/1/2024 | 2.2 % |
5/1/2024 | 2.5 % |
4/1/2024 | 2.3 % |
3/1/2024 | 2.3 % |
2/1/2024 | 2.6 % |
1/1/2024 | 3 % |
12/1/2023 | 3.5 % |
11/1/2023 | 3 % |
Similar Macro Indicators to North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY)
In Germany, the Consumer Price Index (CPI) is the most commonly employed measure of inflation, representing changes in the cost of acquiring a fixed basket of goods and services by the average consumer.
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What is North Rhine Westphalia Consumer Price Index (CPI) Year-over-Year (YoY)?
"North Rhine-Westphalia CPI YoY: An In-Depth Analysis" North Rhine-Westphalia, often abbreviated as NRW, stands as Germany's most populous state, an economic powerhouse deeply intertwined with the country's overall economic health. Within this context, the Consumer Price Index (CPI) Year-Over-Year (YoY) for North Rhine-Westphalia serves as a pivotal economic indicator. At Eulerpool, we specialize in presenting comprehensive macroeconomic data, and we recognize the indispensable role that NRW's CPI YoY plays for economists, investors, policymakers, and industry analysts alike. The Consumer Price Index (CPI) is a crucial measure that tracks the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. The Year-Over-Year component of the CPI, comparing the index of the current month to the same month in the previous year, offers a clear and immediate lens through which inflationary trends can be assessed. North Rhine-Westphalia's CPI YoY thus provides invaluable insights into regional price dynamics that help to contextualize broader national and European trends. Understanding the interplay between North Rhine-Westphalia's CPI YoY and broader economic variables is essential. As an economic leader among German states, NRW's consumer price movements can significantly influence Germany’s overall economic data. NRW's diverse industrial base, including sectors like manufacturing, energy, transportation, and finance, contributes to a distinct economic ecosystem. The state houses several global corporate headquarters and boasts a robust SME sector, which combinedly drive substantial economic activity. Consequently, oscillations in NRW's CPI YoY can signal shifts in consumer behavior, supply chain constraints, and broader economic health within the state and beyond. One of the primary determinants of the CPI YoY in North Rhine-Westphalia involves examining the components of the CPI basket. These typically include categories such as food and beverages, housing, apparel, transportation, medical care, recreation, education, and communication. Each category’s weighting within NRW's economy can vary, and understanding these weights is paramount. For instance, housing prices, which generally carry significant weight in the CPI basket, might reflect regional property market fluctuations, reflecting rising or falling demand and supply dynamics. Similarly, energy prices, particularly relevant in NRW given its historical reliance on the energy sector, influence CPI movements through direct fuel costs and their impact on the costs of goods and services. Inflationary pressures, as indexed by the CPI YoY, often reflect a complex interplay of supply and demand factors. In North Rhine-Westphalia, sector-specific trends—such as shifts in manufacturing output or changes in consumer spending patterns—can precipitate broader CPI changes. Supply chain interruptions, labor market dynamics, and international trade developments all feed into the regional CPI calculus. For instance, an uptick in commodity prices or disruptions in global supply chains can elevate production costs for local manufacturers, which might feed through to consumer prices. Moreover, the interplay between monetary policy and the CPI YoY in North Rhine-Westphalia should not be overlooked. The European Central Bank (ECB)'s monetary policy decisions, often predicated on inflation targets, can influence interest rates and, consequently, consumer spending and investment patterns. For NRW, a state with significant financial activities, even slight adjustments in ECB policies can have material repercussions on consumer prices, filtering through to the CPI data. To bring concrete context to the discussion, consider historical CPI YoY data for North Rhine-Westphalia. Post the global financial crisis of 2008-2009, NRW, like many regions, experienced periods of modest inflation as recovering demand encountered constrained supply chains. Looking at more recent data, the COVID-19 pandemic introduced a fresh set of variables—supply chain bottlenecks, labor market shifts, and government stimulus measures—that have all played out in evolving CPI figures. These historical data points offer a longitudinal view of how various economic shocks have impacted consumer prices in NRW, providing a benchmark against which current and future data can be evaluated. Finally, it's crucial to consider the analytical utility of the CPI YoY for various stakeholders. For economists and researchers, understanding the nuances of NRW's CPI YoY can inform broader economic models that predict consumer behavior, inflation trends, and economic growth patterns. Policymakers can employ CPI data to tailor fiscal and monetary policies that aim to stabilize prices and promote sustainable growth. For business leaders, particularly those within the retail and manufacturing sectors, CPI insights enable strategic planning around pricing, supply chain management, and financial forecasting. Investors too, benefit as CPI trends can affect asset valuations, risk assessments, and portfolio management decisions. In conclusion, the North Rhine-Westphalia CPI YoY is not merely a statistical figure; it represents a dynamic and integral part of both regional and national economic landscapes. At Eulerpool, our commitment is to distill these complex data points into accessible, actionable insights, empowering our users to make informed decisions based on reliable and comprehensive economic data. Understanding the intricacies of NRW’s CPI YoY enables a deeper appreciation of how local economic conditions reflect and influence broader market and policy environments, making it an indispensable tool for a holistic economic analysis.