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The current value of the Commodity Prices Year-over-Year (YoY) in Canada is 2.9 %. The Commodity Prices Year-over-Year (YoY) in Canada increased to 2.9 % on 4/1/2024, after it was 0.4 % on 3/1/2024. From 1/1/1982 to 5/1/2024, the average GDP in Canada was 3.76 %. The all-time high was reached on 4/1/2021 with 56.1 %, while the lowest value was recorded on 7/1/2009 with -34.8 %.
Commodity Prices Year-over-Year (YoY) ·
3 years
5 years
10 years
25 Years
Max
Commodity Prices YoY | |
---|---|
1/1/1982 | 8.6 % |
2/1/1982 | 11.2 % |
3/1/1982 | 10.1 % |
4/1/1982 | 10.8 % |
5/1/1982 | 10.9 % |
6/1/1982 | 5.8 % |
7/1/1982 | 6.7 % |
8/1/1982 | 5.7 % |
9/1/1982 | 6.9 % |
10/1/1982 | 3.1 % |
11/1/1982 | 3.4 % |
12/1/1982 | 7.5 % |
1/1/1983 | 5.9 % |
2/1/1983 | 5.6 % |
3/1/1983 | 5.1 % |
4/1/1983 | 5.6 % |
5/1/1983 | 4.2 % |
6/1/1983 | 4.6 % |
7/1/1983 | 1.9 % |
8/1/1983 | 3.2 % |
9/1/1983 | 2.4 % |
10/1/1983 | 3.9 % |
11/1/1983 | 4.2 % |
12/1/1983 | 4.6 % |
1/1/1984 | 3.2 % |
2/1/1984 | 2.5 % |
3/1/1984 | 4 % |
4/1/1984 | 3.6 % |
5/1/1984 | 3.8 % |
6/1/1984 | 3.8 % |
7/1/1984 | 3.4 % |
8/1/1984 | 1.5 % |
9/1/1984 | 1.5 % |
10/1/1984 | 0.4 % |
11/1/1984 | 4.8 % |
12/1/1984 | 4.2 % |
1/1/1985 | 3.1 % |
2/1/1985 | 3.1 % |
3/1/1985 | 2.5 % |
4/1/1985 | 1.6 % |
5/1/1985 | 1.4 % |
6/1/1985 | 0.4 % |
8/1/1985 | 0.2 % |
10/1/1985 | 1.9 % |
12/1/1985 | 0.4 % |
4/1/1987 | 9.1 % |
5/1/1987 | 13 % |
6/1/1987 | 13.6 % |
7/1/1987 | 16.4 % |
8/1/1987 | 17.1 % |
9/1/1987 | 13.9 % |
10/1/1987 | 12.6 % |
11/1/1987 | 11.7 % |
12/1/1987 | 10.6 % |
1/1/1988 | 6.3 % |
2/1/1988 | 1.9 % |
3/1/1988 | 1.9 % |
4/1/1988 | 0.5 % |
3/1/1989 | 4 % |
4/1/1989 | 5 % |
5/1/1989 | 3.7 % |
6/1/1989 | 2.8 % |
7/1/1989 | 4 % |
8/1/1989 | 5.3 % |
9/1/1989 | 3.9 % |
10/1/1989 | 5.6 % |
11/1/1989 | 5.1 % |
12/1/1989 | 3.4 % |
1/1/1990 | 1.4 % |
2/1/1990 | 3.7 % |
3/1/1990 | 0.7 % |
8/1/1990 | 1.4 % |
9/1/1990 | 11.4 % |
10/1/1990 | 17.1 % |
11/1/1990 | 18.1 % |
12/1/1990 | 14.3 % |
1/1/1991 | 10.2 % |
2/1/1991 | 1.8 % |
5/1/1992 | 2.6 % |
6/1/1992 | 4.8 % |
7/1/1992 | 5.5 % |
8/1/1992 | 4.8 % |
9/1/1992 | 7.7 % |
10/1/1992 | 5.8 % |
11/1/1992 | 7.4 % |
12/1/1992 | 9.1 % |
1/1/1993 | 10 % |
2/1/1993 | 9.3 % |
3/1/1993 | 10.2 % |
4/1/1993 | 9.6 % |
5/1/1993 | 8.1 % |
6/1/1993 | 5.7 % |
7/1/1993 | 3.9 % |
8/1/1993 | 4.6 % |
9/1/1993 | 1.8 % |
10/1/1993 | 2.9 % |
1/1/1994 | 1.8 % |
2/1/1994 | 2.5 % |
3/1/1994 | 2.4 % |
4/1/1994 | 4.8 % |
5/1/1994 | 6.5 % |
6/1/1994 | 8.4 % |
7/1/1994 | 12 % |
8/1/1994 | 11.8 % |
9/1/1994 | 9.7 % |
10/1/1994 | 11 % |
11/1/1994 | 16.4 % |
12/1/1994 | 18.6 % |
1/1/1995 | 20.3 % |
2/1/1995 | 19 % |
3/1/1995 | 18.1 % |
4/1/1995 | 15 % |
5/1/1995 | 10.5 % |
6/1/1995 | 8.5 % |
7/1/1995 | 5.5 % |
8/1/1995 | 5.1 % |
9/1/1995 | 5.6 % |
10/1/1995 | 1.4 % |
12/1/1995 | 1.1 % |
4/1/1996 | 2.2 % |
5/1/1996 | 3.1 % |
6/1/1996 | 0.7 % |
7/1/1996 | 2.6 % |
8/1/1996 | 4.3 % |
9/1/1996 | 7.4 % |
10/1/1996 | 11 % |
11/1/1996 | 9 % |
12/1/1996 | 8.1 % |
1/1/1997 | 8.7 % |
2/1/1997 | 6.2 % |
3/1/1997 | 2.2 % |
4/1/1999 | 1 % |
5/1/1999 | 2.7 % |
6/1/1999 | 5.5 % |
7/1/1999 | 9.1 % |
8/1/1999 | 13.4 % |
9/1/1999 | 16.4 % |
10/1/1999 | 15.6 % |
11/1/1999 | 22.6 % |
12/1/1999 | 32 % |
1/1/2000 | 29 % |
2/1/2000 | 33.9 % |
3/1/2000 | 30 % |
4/1/2000 | 18.2 % |
5/1/2000 | 23.6 % |
6/1/2000 | 26.9 % |
7/1/2000 | 20.5 % |
8/1/2000 | 19.5 % |
9/1/2000 | 19.3 % |
10/1/2000 | 21.4 % |
11/1/2000 | 20 % |
12/1/2000 | 9.4 % |
1/1/2001 | 10.3 % |
2/1/2001 | 8.2 % |
3/1/2001 | 5.8 % |
4/1/2001 | 11.6 % |
5/1/2001 | 5.7 % |
6/1/2001 | 1.1 % |
7/1/2001 | 0.6 % |
8/1/2002 | 0.2 % |
9/1/2002 | 6.1 % |
10/1/2002 | 12.1 % |
11/1/2002 | 12 % |
12/1/2002 | 18.3 % |
1/1/2003 | 22.2 % |
2/1/2003 | 23.6 % |
3/1/2003 | 12.3 % |
4/1/2003 | 3.4 % |
6/1/2003 | 0.5 % |
3/1/2004 | 1.9 % |
4/1/2004 | 9.1 % |
5/1/2004 | 15.5 % |
6/1/2004 | 15.2 % |
7/1/2004 | 19.2 % |
8/1/2004 | 22.5 % |
9/1/2004 | 25.3 % |
10/1/2004 | 29.2 % |
11/1/2004 | 20.5 % |
12/1/2004 | 11.9 % |
1/1/2005 | 13.7 % |
2/1/2005 | 12.6 % |
3/1/2005 | 14.3 % |
4/1/2005 | 13.4 % |
5/1/2005 | 6.7 % |
6/1/2005 | 13.8 % |
7/1/2005 | 14 % |
8/1/2005 | 15.1 % |
9/1/2005 | 15.2 % |
10/1/2005 | 9.2 % |
11/1/2005 | 13.9 % |
12/1/2005 | 17.8 % |
1/1/2006 | 17.7 % |
2/1/2006 | 10.8 % |
3/1/2006 | 5.5 % |
4/1/2006 | 13.3 % |
5/1/2006 | 25.1 % |
6/1/2006 | 16 % |
7/1/2006 | 20.2 % |
8/1/2006 | 10.4 % |
9/1/2006 | 4.7 % |
10/1/2006 | 3.1 % |
11/1/2006 | 4.7 % |
12/1/2006 | 11.4 % |
1/1/2007 | 3.3 % |
2/1/2007 | 10 % |
3/1/2007 | 11.4 % |
4/1/2007 | 8.7 % |
5/1/2007 | 1.5 % |
6/1/2007 | 4.2 % |
7/1/2007 | 2.6 % |
8/1/2007 | 3.6 % |
9/1/2007 | 8.5 % |
10/1/2007 | 12.1 % |
11/1/2007 | 15.2 % |
12/1/2007 | 10.9 % |
1/1/2008 | 18.8 % |
2/1/2008 | 15.8 % |
3/1/2008 | 20.9 % |
4/1/2008 | 23 % |
5/1/2008 | 27.5 % |
6/1/2008 | 32.9 % |
7/1/2008 | 30 % |
8/1/2008 | 23.7 % |
9/1/2008 | 15.8 % |
11/1/2009 | 9.8 % |
12/1/2009 | 28.3 % |
1/1/2010 | 30.8 % |
2/1/2010 | 28.5 % |
3/1/2010 | 15.7 % |
4/1/2010 | 19 % |
5/1/2010 | 9.7 % |
6/1/2010 | 2 % |
7/1/2010 | 7.6 % |
8/1/2010 | 6.3 % |
9/1/2010 | 8.2 % |
10/1/2010 | 8.9 % |
11/1/2010 | 9.1 % |
12/1/2010 | 15.9 % |
1/1/2011 | 14.2 % |
2/1/2011 | 18.4 % |
3/1/2011 | 22.5 % |
4/1/2011 | 25.5 % |
5/1/2011 | 26.8 % |
6/1/2011 | 28.1 % |
7/1/2011 | 25.3 % |
8/1/2011 | 19.3 % |
9/1/2011 | 19.7 % |
10/1/2011 | 15 % |
11/1/2011 | 15 % |
12/1/2011 | 6.9 % |
1/1/2012 | 6.4 % |
2/1/2012 | 4.1 % |
6/1/2013 | 4.2 % |
7/1/2013 | 9.6 % |
8/1/2013 | 6.2 % |
9/1/2013 | 2.6 % |
12/1/2013 | 2.2 % |
1/1/2014 | 0.5 % |
2/1/2014 | 4.3 % |
3/1/2014 | 6.6 % |
4/1/2014 | 9.3 % |
5/1/2014 | 7.9 % |
6/1/2014 | 9.4 % |
7/1/2014 | 2.5 % |
8/1/2016 | 0.5 % |
10/1/2016 | 1.5 % |
11/1/2016 | 4.6 % |
12/1/2016 | 17.3 % |
1/1/2017 | 23.2 % |
2/1/2017 | 24.3 % |
3/1/2017 | 16.9 % |
4/1/2017 | 18.1 % |
5/1/2017 | 8.4 % |
6/1/2017 | 2.3 % |
7/1/2017 | 4.2 % |
8/1/2017 | 6 % |
9/1/2017 | 6 % |
10/1/2017 | 6.4 % |
11/1/2017 | 13.9 % |
12/1/2017 | 6.2 % |
1/1/2018 | 7.9 % |
2/1/2018 | 6.1 % |
3/1/2018 | 10.2 % |
4/1/2018 | 9.1 % |
5/1/2018 | 15.3 % |
6/1/2018 | 20.3 % |
7/1/2018 | 22.2 % |
8/1/2018 | 15.4 % |
9/1/2018 | 14.5 % |
10/1/2018 | 8 % |
4/1/2019 | 3.2 % |
11/1/2019 | 9.2 % |
12/1/2019 | 7.9 % |
1/1/2020 | 2.7 % |
1/1/2021 | 5.8 % |
2/1/2021 | 17.1 % |
3/1/2021 | 34.6 % |
4/1/2021 | 56.1 % |
5/1/2021 | 40.1 % |
6/1/2021 | 37.9 % |
7/1/2021 | 38.9 % |
8/1/2021 | 27.8 % |
9/1/2021 | 32.8 % |
10/1/2021 | 38.7 % |
11/1/2021 | 37.6 % |
12/1/2021 | 29.2 % |
1/1/2022 | 30.7 % |
2/1/2022 | 30.3 % |
3/1/2022 | 42.6 % |
4/1/2022 | 38.3 % |
5/1/2022 | 38.1 % |
6/1/2022 | 33.6 % |
7/1/2022 | 20.5 % |
8/1/2022 | 18.8 % |
9/1/2022 | 12.6 % |
10/1/2022 | 8.8 % |
11/1/2022 | 8.6 % |
12/1/2022 | 9 % |
1/1/2023 | 1.8 % |
9/1/2023 | 2.9 % |
3/1/2024 | 0.4 % |
4/1/2024 | 2.9 % |
Commodity Prices Year-over-Year (YoY) History
Date | Value |
---|---|
4/1/2024 | 2.9 % |
3/1/2024 | 0.4 % |
9/1/2023 | 2.9 % |
1/1/2023 | 1.8 % |
12/1/2022 | 9 % |
11/1/2022 | 8.6 % |
10/1/2022 | 8.8 % |
9/1/2022 | 12.6 % |
8/1/2022 | 18.8 % |
7/1/2022 | 20.5 % |
Similar Macro Indicators to Commodity Prices Year-over-Year (YoY)
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇦 Consumer Price Index (CPI) | 161.5 points | 160.6 points | Monthly |
🇨🇦 Consumer Price Index for Housing and Utilities | 182.1 points | 181.5 points | Monthly |
🇨🇦 Core Consumer Prices | 155.5 points | 154.6 points | Monthly |
🇨🇦 Core Inflation Rate | 1.8 % | 1.6 % | Monthly |
🇨🇦 Core Inflation Rate MoM | 0 % | -0.1 % | Monthly |
🇨🇦 CPI Transport | 169.3 points | 173.5 points | Monthly |
🇨🇦 Export Prices | 135.4 points | 136.7 points | Monthly |
🇨🇦 Food Inflation | 2.8 % | 2.7 % | Monthly |
🇨🇦 GDP Deflator | 124.9 points | 125.3 points | Quarter |
🇨🇦 Import Prices | 133.8 points | 131.7 points | Monthly |
🇨🇦 Inflation Expectations | 4.92 % | 4.91 % | Quarter |
🇨🇦 Inflation Rate | 2.9 % | 2.7 % | Monthly |
🇨🇦 Inflation Rate MoM | -0.4 % | -0.2 % | Monthly |
🇨🇦 Median-CPI | 2.8 % | 2.6 % | Monthly |
🇨🇦 Producer Price Change | 1.8 % | 1.4 % | Monthly |
🇨🇦 Producer Price Inflation MoM | -0.6 % | -0.9 % | Monthly |
🇨🇦 Producer prices | 125.9 points | 126.7 points | Monthly |
🇨🇦 Rental inflation | 8.2 % | 8.9 % | Monthly |
🇨🇦 Service Inflation | 4 % | 4.3 % | Monthly |
🇨🇦 Trimmed Mean of the Consumer Price Index | 2.9 % | 2.8 % | Monthly |
🇨🇦 Wholesale prices | 135 points | 139.3 points | Monthly |
The Raw Materials Price Index (RMPI) represents the prices Canadian manufacturers pay for essential raw materials. Unlike the Industrial Product Price Index, the RMPI encompasses goods that are not produced domestically in Canada.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇸United States
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Commodity Prices Year-over-Year (YoY)?
Commodity Prices YoY (Year-over-Year) is a critical macroeconomic indicator that reflects the annual percentage change in the prices of various raw materials and primary agricultural products. At Eulerpool, a premier platform for presenting detailed macroeconomic data, we recognize the profound importance of tracking Commodity Prices YoY. This robust indicator provides essential insights into the economic health of nations, industries, and global markets. Commodity prices are the building blocks of the global economy. They encompass a diverse range of items, from precious metals like gold and silver, to energy resources such as oil and natural gas, as well as agricultural commodities like wheat, corn, and soybeans. These resources are fundamental to the production processes in numerous industries, influencing everything from manufacturing costs to consumer prices. Consequently, fluctuations in commodity prices can have far-reaching effects, impacting inflation rates, trade balances, and overall economic stability. The year-over-year analysis of commodity prices is particularly significant because it allows economists, policymakers, investors, and business leaders to identify trends and make informed decisions. By comparing prices from one year to the next, it becomes possible to discern patterns, understand market dynamics, and predict future movements. For instance, a consistent increase in the prices of agricultural commodities over several years might signal rising demand or declining supply, prompting stakeholders to take appropriate actions. One of the primary drivers behind shifts in commodity prices is supply and demand dynamics. When supply is disrupted—due to factors like natural disasters, geopolitical tensions, or production issues—prices tend to rise. Conversely, an increase in demand, fueled by economic growth or demographic changes, can also push prices upward. Monitoring Commodity Prices YoY helps illuminate these supply-demand imbalances, offering a clearer picture of underlying economic conditions. Inflation is another crucial factor linked to commodity prices. Central banks and financial institutions closely monitor commodity prices to gauge inflationary pressures. For example, a surge in oil prices can lead to higher transportation and production costs, which in turn can increase the prices of goods and services across the economy. By examining the Year-over-Year changes in commodity prices, economists can better anticipate inflation trends and adjust monetary policies accordingly to maintain economic stability. Global trade patterns also play a significant role in determining commodity prices. As commodities are often traded internationally, changes in trade policies, tariffs, and exchange rates can influence prices. For instance, tensions between major trading partners can disrupt supply chains and lead to price volatility. By tracking Commodity Prices YoY, stakeholders can assess the impact of such changes on the global market and make strategic decisions. Technological advancements and innovations are another aspect impacting commodity prices. The development of new extraction or production technologies can alter the supply of commodities, subsequently affecting their prices. For example, advancements in shale oil extraction have revolutionized the energy market, influencing the Year-over-Year prices of oil. Keeping an eye on these technological changes and their effect on commodity prices can provide valuable insights for future planning. Furthermore, environmental concerns and sustainability issues are increasingly influencing commodity prices. As the world moves towards greener energy sources and more sustainable practices, the demand for certain commodities, like lithium for batteries or rare earth metals for renewable energy technologies, is rising. At the same time, regulatory measures aimed at reducing carbon emissions can impact the supply and cost of fossil fuels. Tracking the Year-over-Year changes in commodity prices allows stakeholders to understand these evolving trends and adapt their strategies accordingly. The geopolitical landscape is another critical factor affecting commodity prices. Political instability, conflicts, and policy changes in commodity-rich regions can lead to supply disruptions and price fluctuations. For instance, political unrest in oil-producing countries can cause significant spikes in oil prices. By analyzing Commodity Prices YoY, investors and policymakers can better navigate the complexities of the geopolitical environment and mitigate associated risks. Investment strategies often hinge on the analysis of commodity prices. Commodities are a popular asset class, known for their potential to hedge against inflation and diversify portfolios. Investors rely on comprehensive data, such as the Year-over-Year changes in commodity prices, to make informed decisions about asset allocation and investment timing. For instance, a consistent upward trend in the prices of industrial metals might indicate a robust demand for infrastructure development, signaling an opportune moment for investment. Corporate strategists and business leaders also benefit from monitoring Commodity Prices YoY. Understanding price trends helps companies manage their supply chains, budget for raw material costs, and set competitive prices for their products. For example, a manufacturer reliant on aluminum would closely watch its Year-over-Year price changes to forecast production costs and adjust pricing strategies accordingly. Government institutions use Commodity Prices YoY data to formulate policies and support economic planning. Prices of essential commodities like food and energy directly impact the cost of living, influencing social welfare programs and subsidy allocations. Policymakers analyze these price trends to address economic challenges, ensure food security, and stabilize markets. At Eulerpool, we strive to offer the most accurate and comprehensive data on Commodity Prices YoY. Our platform provides an in-depth analysis of price movements across a wide array of commodities, supported by real-time data and historical trends. By leveraging our detailed insights, users can navigate the complexities of the commodity markets and make data-driven decisions in an ever-changing economic landscape. In conclusion, the Year-over-Year analysis of commodity prices is an indispensable tool for understanding and navigating the global economy. Whether it's assessing inflationary pressures, shaping investment strategies, or formulating governmental policies, the insights derived from tracking Commodity Prices YoY are invaluable. At Eulerpool, we are dedicated to providing the highest quality macroeconomic data to empower our users with the knowledge they need to succeed.