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The current value of the Core Inflation Rate Month-over-Month (MoM) in Sweden is 0.6 %. The Core Inflation Rate Month-over-Month (MoM) in Sweden decreased to 0.6 % on 2/1/2024, after it was 0.7 % on 12/1/2023. From 2/1/1987 to 4/1/2024, the average GDP in Sweden was 0.21 %. The all-time high was reached on 2/1/1991 with 3.3 %, while the lowest value was recorded on 1/1/2020 with -1.4 %.
Core Inflation Rate Month-over-Month (MoM) ·
3 years
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25 Years
Max
Core Inflation Rate MoM | |
---|---|
2/1/1987 | 0.3 % |
3/1/1987 | 0.2 % |
4/1/1987 | 0.3 % |
5/1/1987 | 0.1 % |
7/1/1987 | 0.9 % |
8/1/1987 | 0.5 % |
9/1/1987 | 0.9 % |
10/1/1987 | 0.6 % |
11/1/1987 | 0.4 % |
12/1/1987 | 0.1 % |
1/1/1988 | 0.4 % |
2/1/1988 | 0.8 % |
3/1/1988 | 0.5 % |
4/1/1988 | 0.9 % |
6/1/1988 | 0.2 % |
7/1/1988 | 0.4 % |
8/1/1988 | 0.2 % |
9/1/1988 | 0.8 % |
10/1/1988 | 0.9 % |
11/1/1988 | 0.2 % |
12/1/1988 | 0.2 % |
1/1/1989 | 1.1 % |
2/1/1989 | 0.6 % |
3/1/1989 | 0.4 % |
4/1/1989 | 0.6 % |
5/1/1989 | 0.3 % |
6/1/1989 | 0.5 % |
8/1/1989 | 0.5 % |
9/1/1989 | 0.8 % |
10/1/1989 | 0.9 % |
11/1/1989 | 0.2 % |
12/1/1989 | 0.3 % |
1/1/1990 | 2.2 % |
2/1/1990 | 0.4 % |
3/1/1990 | 1.1 % |
4/1/1990 | 0.4 % |
5/1/1990 | 0.7 % |
6/1/1990 | 0.1 % |
7/1/1990 | 1 % |
8/1/1990 | 0.4 % |
9/1/1990 | 0.7 % |
10/1/1990 | 0.7 % |
11/1/1990 | 0.3 % |
12/1/1990 | 0.2 % |
1/1/1991 | 2.2 % |
2/1/1991 | 3.3 % |
3/1/1991 | 0.6 % |
4/1/1991 | 0.6 % |
7/1/1991 | 0.1 % |
9/1/1991 | 1.1 % |
10/1/1991 | 0.4 % |
11/1/1991 | 0.4 % |
2/1/1992 | 0.2 % |
3/1/1992 | 0.5 % |
4/1/1992 | 0.2 % |
9/1/1992 | 1 % |
10/1/1992 | 0.2 % |
12/1/1992 | 0.5 % |
1/1/1993 | 1.9 % |
2/1/1993 | 0.4 % |
3/1/1993 | 0.5 % |
4/1/1993 | 0.3 % |
8/1/1993 | 0.2 % |
9/1/1993 | 1.1 % |
10/1/1993 | 0.4 % |
1/1/1994 | 0.2 % |
2/1/1994 | 0.4 % |
3/1/1994 | 0.5 % |
4/1/1994 | 0.4 % |
5/1/1994 | 0.2 % |
9/1/1994 | 1.1 % |
10/1/1994 | 0.2 % |
1/1/1995 | 0.3 % |
2/1/1995 | 0.4 % |
3/1/1995 | 0.4 % |
4/1/1995 | 0.5 % |
5/1/1995 | 0.2 % |
9/1/1995 | 0.8 % |
10/1/1995 | 0.4 % |
2/1/1996 | 0.2 % |
3/1/1996 | 0.5 % |
4/1/1996 | 0.3 % |
9/1/1996 | 0.4 % |
10/1/1996 | 0.1 % |
1/1/1997 | 0.1 % |
3/1/1997 | 0.5 % |
4/1/1997 | 0.6 % |
5/1/1997 | 0.1 % |
6/1/1997 | 0.2 % |
9/1/1997 | 1.1 % |
10/1/1997 | 0.2 % |
3/1/1998 | 0.3 % |
4/1/1998 | 0.4 % |
5/1/1998 | 0.3 % |
9/1/1998 | 0.5 % |
10/1/1998 | 0.3 % |
12/1/1998 | 0.1 % |
1/1/1999 | 0.2 % |
2/1/1999 | 0.1 % |
3/1/1999 | 0.4 % |
4/1/1999 | 0.4 % |
5/1/1999 | 0.2 % |
6/1/1999 | 0.2 % |
9/1/1999 | 0.8 % |
10/1/1999 | 0.2 % |
12/1/1999 | 0.1 % |
2/1/2000 | 0.2 % |
3/1/2000 | 0.3 % |
4/1/2000 | 0.2 % |
5/1/2000 | 0.3 % |
8/1/2000 | 0.2 % |
9/1/2000 | 0.5 % |
10/1/2000 | 0.3 % |
11/1/2000 | 0.1 % |
12/1/2000 | 0.1 % |
2/1/2001 | 0.2 % |
3/1/2001 | 0.8 % |
4/1/2001 | 0.6 % |
5/1/2001 | 0.4 % |
8/1/2001 | 0.2 % |
9/1/2001 | 0.7 % |
10/1/2001 | 0.3 % |
11/1/2001 | 0.1 % |
12/1/2001 | 0.2 % |
2/1/2002 | 0.2 % |
3/1/2002 | 0.7 % |
4/1/2002 | 0.2 % |
5/1/2002 | 0.2 % |
8/1/2002 | 0.1 % |
9/1/2002 | 0.7 % |
10/1/2002 | 0.4 % |
12/1/2002 | 0.2 % |
2/1/2003 | 0.4 % |
3/1/2003 | 0.6 % |
4/1/2003 | 0.2 % |
9/1/2003 | 0.9 % |
12/1/2003 | 0.1 % |
3/1/2004 | 0.7 % |
4/1/2004 | 0.3 % |
5/1/2004 | 0.1 % |
9/1/2004 | 0.9 % |
10/1/2004 | 0.2 % |
12/1/2004 | 0.1 % |
2/1/2005 | 0.4 % |
3/1/2005 | 0.1 % |
4/1/2005 | 0.1 % |
5/1/2005 | 0.2 % |
8/1/2005 | 0.1 % |
9/1/2005 | 0.8 % |
10/1/2005 | 0.3 % |
2/1/2006 | 0.5 % |
3/1/2006 | 0.4 % |
4/1/2006 | 0.2 % |
5/1/2006 | 0.2 % |
9/1/2006 | 0.9 % |
12/1/2006 | 0.1 % |
2/1/2007 | 0.4 % |
3/1/2007 | 0.5 % |
4/1/2007 | 0.5 % |
6/1/2007 | 0.1 % |
8/1/2007 | 0.1 % |
9/1/2007 | 0.8 % |
10/1/2007 | 0.5 % |
11/1/2007 | 0.2 % |
12/1/2007 | 0.1 % |
2/1/2008 | 0.3 % |
3/1/2008 | 0.9 % |
4/1/2008 | 0.4 % |
5/1/2008 | 0.2 % |
8/1/2008 | 0.3 % |
9/1/2008 | 0.8 % |
10/1/2008 | 0.3 % |
12/1/2008 | 0.1 % |
2/1/2009 | 0.5 % |
3/1/2009 | 0.5 % |
4/1/2009 | 0.3 % |
7/1/2009 | 0.1 % |
8/1/2009 | 0.1 % |
9/1/2009 | 0.7 % |
10/1/2009 | 0.3 % |
12/1/2009 | 0.2 % |
2/1/2010 | 0.4 % |
3/1/2010 | 0.4 % |
4/1/2010 | 0.2 % |
5/1/2010 | 0.1 % |
9/1/2010 | 0.8 % |
10/1/2010 | 0.3 % |
12/1/2010 | 0.1 % |
2/1/2011 | 0.6 % |
3/1/2011 | 0.3 % |
4/1/2011 | 0.4 % |
5/1/2011 | 0.1 % |
8/1/2011 | 0.1 % |
9/1/2011 | 0.7 % |
11/1/2011 | 0.1 % |
12/1/2011 | 0.1 % |
2/1/2012 | 0.6 % |
3/1/2012 | 0.5 % |
4/1/2012 | 0.3 % |
5/1/2012 | 0.2 % |
9/1/2012 | 0.7 % |
10/1/2012 | 0.2 % |
12/1/2012 | 0.2 % |
2/1/2013 | 0.5 % |
3/1/2013 | 0.6 % |
5/1/2013 | 0.2 % |
8/1/2013 | 0.1 % |
9/1/2013 | 0.4 % |
12/1/2013 | 0.4 % |
2/1/2014 | 0.6 % |
3/1/2014 | 0.1 % |
4/1/2014 | 0.4 % |
6/1/2014 | 0.3 % |
9/1/2014 | 0.2 % |
10/1/2014 | 0.3 % |
12/1/2014 | 0.5 % |
2/1/2015 | 0.7 % |
3/1/2015 | 0.1 % |
4/1/2015 | 0.1 % |
5/1/2015 | 0.5 % |
7/1/2015 | 0.3 % |
9/1/2015 | 0.6 % |
10/1/2015 | 0.2 % |
12/1/2015 | 0.4 % |
2/1/2016 | 0.6 % |
3/1/2016 | 0.4 % |
5/1/2016 | 0.2 % |
7/1/2016 | 0.2 % |
9/1/2016 | 0.2 % |
10/1/2016 | 0.2 % |
12/1/2016 | 0.5 % |
2/1/2017 | 0.7 % |
3/1/2017 | 0.1 % |
4/1/2017 | 0.6 % |
5/1/2017 | 0.2 % |
6/1/2017 | 0.2 % |
7/1/2017 | 0.4 % |
12/1/2017 | 0.5 % |
2/1/2018 | 0.7 % |
3/1/2018 | 0.2 % |
4/1/2018 | 0.5 % |
5/1/2018 | 0.2 % |
6/1/2018 | 0.1 % |
7/1/2018 | 0.4 % |
9/1/2018 | 0.5 % |
12/1/2018 | 0.6 % |
2/1/2019 | 0.8 % |
3/1/2019 | 0.3 % |
4/1/2019 | 0.6 % |
5/1/2019 | 0.3 % |
6/1/2019 | 0.3 % |
7/1/2019 | 0.2 % |
9/1/2019 | 0.5 % |
12/1/2019 | 0.5 % |
2/1/2020 | 0.8 % |
3/1/2020 | 0.2 % |
4/1/2020 | 0.1 % |
5/1/2020 | 0.6 % |
6/1/2020 | 0.4 % |
7/1/2020 | 0.4 % |
10/1/2020 | 0.2 % |
12/1/2020 | 0.6 % |
2/1/2021 | 0.2 % |
3/1/2021 | 0.3 % |
4/1/2021 | 0.4 % |
5/1/2021 | 0.1 % |
8/1/2021 | 0.3 % |
9/1/2021 | 0.2 % |
10/1/2021 | 0.4 % |
11/1/2021 | 0.1 % |
12/1/2021 | 0.4 % |
1/1/2022 | 0.1 % |
2/1/2022 | 1 % |
3/1/2022 | 1 % |
4/1/2022 | 0.9 % |
5/1/2022 | 0.9 % |
6/1/2022 | 0.7 % |
7/1/2022 | 0.4 % |
8/1/2022 | 0.6 % |
9/1/2022 | 0.7 % |
10/1/2022 | 0.9 % |
11/1/2022 | 0.2 % |
12/1/2022 | 0.8 % |
1/1/2023 | 0.4 % |
2/1/2023 | 1.5 % |
3/1/2023 | 0.6 % |
4/1/2023 | 0.4 % |
5/1/2023 | 0.7 % |
6/1/2023 | 0.6 % |
7/1/2023 | 0.4 % |
9/1/2023 | 0.5 % |
10/1/2023 | 0.1 % |
12/1/2023 | 0.7 % |
2/1/2024 | 0.6 % |
Core Inflation Rate Month-over-Month (MoM) History
Date | Value |
---|---|
2/1/2024 | 0.6 % |
12/1/2023 | 0.7 % |
10/1/2023 | 0.1 % |
9/1/2023 | 0.5 % |
7/1/2023 | 0.4 % |
6/1/2023 | 0.6 % |
5/1/2023 | 0.7 % |
4/1/2023 | 0.4 % |
3/1/2023 | 0.6 % |
2/1/2023 | 1.5 % |
Similar Macro Indicators to Core Inflation Rate Month-over-Month (MoM)
The CPIF-XE excludes energy products from the CPIF, specifically the COICOP groups 07.2.2 (Fuels and lubricants for personal transport equipment) and 04.5 (Electricity, gas, and other fuels). The fuels and lubricants category covers petrol, diesel, and E85. The electricity, gas, and other fuels category includes electricity and fuels used for domestic purposes, such as pellets, district heating, heating oil, and household gas.
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What is Core Inflation Rate Month-over-Month (MoM)?
Core Inflation Rate MoM: A Comprehensive Insight by Eulerpool At Eulerpool, we pride ourselves on being a highly specialized platform dedicated to delivering precise and comprehensive macroeconomic data. One of the key metrics that we provide detailed insights into is the Core Inflation Rate Month over Month (MoM). This indicator is closely monitored by economists, policymakers, and investors as it offers a clearer picture of underlying inflation trends by excluding volatile items such as food and energy prices. This professional and exhaustive description aims to elucidate the significance, calculation, and implications of the Core Inflation Rate MoM, providing our audience with a profound understanding of this critical economic indicator. Understanding Core Inflation Rate MoM Core Inflation Rate MoM measures the percentage change in the cost of goods and services, excluding those from the food and energy sectors, over a one-month period. Unlike the broader inflation metrics, which can be significantly impacted by irregular price fluctuations in food and energy, the core inflation rate provides a smoother and more stable reflection of long-term inflationary trends. This makes it a preferred measure for policymakers when setting monetary policies, as it helps them to discern persistent inflationary pressures from transient price changes. Why Exclude Food and Energy? Food and energy prices are typically excluded from the core inflation index because these prices can be highly volatile due to various transient factors such as weather conditions, geopolitical tensions, and seasonal demand changes. For example, a severe winter can spike energy prices, or a drought can lead to a surge in food prices. These fluctuations can distort the overall inflation picture, making it harder for economists and policymakers to identify long-term trends. By excluding these volatile components, the Core Inflation Rate MoM offers a more accurate measure of the inflation that is likely to persist and influence economic policy. Calculation of Core Inflation Rate MoM The calculation of the Core Inflation Rate MoM involves selecting a basket of goods and services representative of typical consumer spending, excluding food and energy items. The prices of these selected items are monitored over time. The MoM rate is calculated as the percentage change between the price levels of this basket in two consecutive months. For example, if the price level of the basket increases from $100 in January to $101 in February, the core inflation rate for February would be 1%. This calculation provides a quick snapshot of the inflationary pressure experienced within a single month. Implications of Core Inflation Rate MoM A rising Core Inflation Rate MoM typically signals increasing expenses for households and businesses, reflecting growing demand or supply constraints for various goods and services. Conversely, a falling rate may indicate weakening demand or improvements in supply conditions. Policymakers, especially those at central banks, closely observe this rate to guide their decisions on interest rates and other monetary policies. For instance, a persistently high core inflation rate might prompt a central bank to increase interest rates to cool off economic activity and curb inflation. On the other hand, a low or negative core inflation rate could lead to rate cuts to stimulate economic activity. Moreover, businesses use the Core Inflation Rate MoM for strategic planning, especially when it comes to setting prices, wages, and budgeting for future expenses. Investors also monitor this indicator to assess the inflation risk associated with their portfolios and to make informed decisions regarding bonds, equities, and other financial instruments. A higher-than-expected core inflation rate generally leads to higher bond yields, as investors demand greater compensation for the erosion of purchasing power due to inflation. Core Inflation Rate MoM in Historical Context Reviewing historical data on Core Inflation Rate MoM can provide invaluable insights into how various economic policies and external factors have influenced inflation over time. For example, periods of aggressive monetary easing, such as those seen during economic crises, often result in lower core inflation rates due to subdued demand. Conversely, periods of robust economic growth or supply chain disruptions can lead to higher core inflation rates as increased demand chases limited supply. By analyzing such trends, economists can better predict future inflation trajectories and advise on appropriate policy measures. Global Variations and Comparisons Core inflation rates can vary significantly across different economies due to variations in economic structures, consumer behavior, and policy frameworks. For example, emerging economies might experience higher core inflation rates due to rapid economic growth and structural changes, while developed economies might exhibit more stable rates. Comparing Core Inflation Rate MoM across countries can provide insights into relative economic health, competitiveness, and the effectiveness of monetary policies. At Eulerpool, we ensure to provide comprehensive data that allows for such comparative analysis, aiding global investors and policymakers in making well-informed decisions. Challenges and Limitations While the Core Inflation Rate MoM is a crucial indicator, it is not without its limitations. One significant challenge is accurately capturing the representative basket of goods and services, as consumer preferences and spending patterns can change over time. Additionally, excluding food and energy, while providing a stable measure, might overlook some underlying inflationary pressures that could spill over into other goods and services. Therefore, it is essential to consider the Core Inflation Rate MoM alongside other economic indicators to gain a holistic view of the inflation dynamics. Conclusion At Eulerpool, our mission is to provide accurate and timely macroeconomic data to empower our users with the knowledge they need to navigate complex economic landscapes. The Core Inflation Rate MoM is a vital component of this data suite, offering a nuanced understanding of inflation trends by stripping out the noise from volatile food and energy prices. By monitoring this indicator, policymakers, businesses, and investors can make more informed decisions, ultimately contributing to economic stability and growth. We remain committed to delivering detailed and reliable data on the Core Inflation Rate MoM, ensuring our users stay ahead of the curve in understanding and responding to inflationary trends.