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Austria Wholesale Prices Month-over-Month (MoM)

Price

1.2 %

Change +/-

+0.2 %

Percentage Change

+18.18 %

The current value of the Wholesale Prices Month-over-Month (MoM) in Austria is 1.2 %. The Wholesale Prices Month-over-Month (MoM) in Austria increased to 1.2 % on 2/1/2024, after it was 1 % on 1/1/2024. From 2/1/1996 to 5/1/2024, the average GDP in Austria was 0.17 %. The all-time high was reached on 3/1/2022 with 9.7 %, while the lowest value was recorded on 3/1/2020 with -3.2 %.

Source: Statistics Austria

Wholesale Prices Month-over-Month (MoM) ·

3 years
5 years
10 years
25 Years
Max

Wholesale Prices MoM

	Wholesale Prices MoM
2/1/1996	0.3 %
3/1/1996	0.6 %
5/1/1996	0.7 %
9/1/1996	0.4 %
10/1/1996	0.4 %
12/1/1996	0.2 %
1/1/1997	0.4 %
2/1/1997	0.1 %
4/1/1997	0.2 %
6/1/1997	0.1 %
10/1/1997	0.3 %
12/1/1997	0.3 %
2/1/1998	0.2 %
4/1/1998	0.1 %
2/1/1999	0.2 %
3/1/1999	0.4 %
4/1/1999	0.4 %
5/1/1999	0.4 %
9/1/1999	0.1 %
10/1/1999	0.1 %
11/1/1999	0.5 %
12/1/1999	0.8 %
1/1/2000	0.4 %
2/1/2000	1 %
4/1/2000	0.3 %
5/1/2000	0.1 %
6/1/2000	0.3 %
7/1/2000	0.3 %
9/1/2000	1.4 %
10/1/2000	0.3 %
11/1/2000	0.4 %
3/1/2001	0.3 %
4/1/2001	0.4 %
5/1/2001	0.4 %
6/1/2001	0.1 %
12/1/2001	0.1 %
1/1/2002	0.6 %
2/1/2002	0.1 %
3/1/2002	0.5 %
5/1/2002	0.3 %
9/1/2002	0.4 %
10/1/2002	0.1 %
12/1/2002	0.4 %
1/1/2003	1.4 %
2/1/2003	0.6 %
3/1/2003	0.4 %
6/1/2003	0.4 %
9/1/2003	0.2 %
10/1/2003	0.7 %
11/1/2003	0.2 %
12/1/2003	0.2 %
1/1/2004	0.7 %
2/1/2004	0.7 %
3/1/2004	1.3 %
4/1/2004	1.1 %
5/1/2004	0.7 %
6/1/2004	0.4 %
8/1/2004	0.4 %
9/1/2004	0.2 %
10/1/2004	0.5 %
1/1/2005	0.5 %
2/1/2005	0.1 %
3/1/2005	1.2 %
8/1/2005	0.1 %
9/1/2005	0.7 %
10/1/2005	0.3 %
12/1/2005	0.3 %
1/1/2006	0.2 %
2/1/2006	0.1 %
3/1/2006	0.7 %
4/1/2006	0.8 %
5/1/2006	1.1 %
7/1/2006	0.3 %
8/1/2006	0.4 %
10/1/2006	0.1 %
11/1/2006	0.4 %
12/1/2006	0.1 %
2/1/2007	0.7 %
3/1/2007	0.2 %
4/1/2007	1.1 %
5/1/2007	0.1 %
6/1/2007	0.2 %
7/1/2007	0.8 %
8/1/2007	1 %
9/1/2007	2.3 %
11/1/2007	0.4 %
12/1/2007	0.1 %
1/1/2008	1 %
2/1/2008	1.2 %
3/1/2008	1.2 %
4/1/2008	0.4 %
5/1/2008	2.3 %
6/1/2008	0.6 %
7/1/2008	0.1 %
4/1/2009	0.3 %
5/1/2009	0.1 %
6/1/2009	0.9 %
8/1/2009	0.8 %
11/1/2009	0.1 %
12/1/2009	0.2 %
1/1/2010	1.2 %
2/1/2010	0.3 %
3/1/2010	1.4 %
4/1/2010	2.6 %
5/1/2010	0.5 %
8/1/2010	1 %
9/1/2010	1 %
11/1/2010	1.2 %
12/1/2010	1.4 %
1/1/2011	2.9 %
2/1/2011	1.3 %
3/1/2011	1.1 %
4/1/2011	0.1 %
6/1/2011	0.4 %
9/1/2011	0.6 %
11/1/2011	0.4 %
1/1/2012	1.4 %
2/1/2012	1.1 %
3/1/2012	1.2 %
7/1/2012	0.9 %
8/1/2012	1.9 %
9/1/2012	0.4 %
1/1/2013	0.4 %
2/1/2013	0.6 %
5/1/2013	0.1 %
9/1/2013	0.5 %
2/1/2014	0.1 %
4/1/2014	0.4 %
6/1/2014	0.3 %
9/1/2014	0.1 %
2/1/2015	2.3 %
3/1/2015	0.6 %
4/1/2015	0.7 %
5/1/2015	0.8 %
3/1/2016	1.1 %
4/1/2016	0.8 %
5/1/2016	1.4 %
6/1/2016	0.6 %
9/1/2016	0.3 %
10/1/2016	1.2 %
12/1/2016	2.2 %
1/1/2017	0.7 %
2/1/2017	0.3 %
4/1/2017	0.8 %
7/1/2017	0.3 %
8/1/2017	0.9 %
9/1/2017	1.2 %
10/1/2017	0.4 %
11/1/2017	0.8 %
1/1/2018	0.9 %
4/1/2018	1.3 %
5/1/2018	1.4 %
6/1/2018	0.2 %
8/1/2018	0.4 %
9/1/2018	0.6 %
10/1/2018	1 %
2/1/2019	0.7 %
3/1/2019	0.3 %
4/1/2019	0.7 %
5/1/2019	0.4 %
7/1/2019	0.4 %
9/1/2019	0.3 %
12/1/2019	0.1 %
1/1/2020	0.5 %
6/1/2020	1.4 %
7/1/2020	0.9 %
8/1/2020	0.1 %
10/1/2020	0.6 %
11/1/2020	0.3 %
12/1/2020	1.2 %
1/1/2021	2.1 %
2/1/2021	1.5 %
3/1/2021	1.6 %
4/1/2021	0.6 %
5/1/2021	1.7 %
6/1/2021	1.4 %
7/1/2021	1.5 %
9/1/2021	0.8 %
10/1/2021	2.6 %
11/1/2021	1 %
1/1/2022	2.6 %
2/1/2022	2.2 %
3/1/2022	9.7 %
4/1/2022	0.9 %
5/1/2022	1 %
6/1/2022	2.5 %
9/1/2022	0.2 %
10/1/2022	3.1 %
1/1/2023	1.5 %
8/1/2023	1.7 %
9/1/2023	1.2 %
1/1/2024	1 %
2/1/2024	1.2 %

Wholesale Prices Month-over-Month (MoM) History

Date	Value
2/1/2024	1.2 %
1/1/2024	1 %
9/1/2023	1.2 %
8/1/2023	1.7 %
1/1/2023	1.5 %
10/1/2022	3.1 %
9/1/2022	0.2 %
6/1/2022	2.5 %
5/1/2022	1 %
4/1/2022	0.9 %
3/1/2022	9.7 %
2/1/2022	2.2 %
1/1/2022	2.6 %
11/1/2021	1 %
10/1/2021	2.6 %
9/1/2021	0.8 %
7/1/2021	1.5 %
6/1/2021	1.4 %
5/1/2021	1.7 %
4/1/2021	0.6 %
3/1/2021	1.6 %
2/1/2021	1.5 %
1/1/2021	2.1 %
12/1/2020	1.2 %
11/1/2020	0.3 %
10/1/2020	0.6 %
8/1/2020	0.1 %
7/1/2020	0.9 %
6/1/2020	1.4 %
1/1/2020	0.5 %
12/1/2019	0.1 %
9/1/2019	0.3 %
7/1/2019	0.4 %
5/1/2019	0.4 %
4/1/2019	0.7 %
3/1/2019	0.3 %
2/1/2019	0.7 %
10/1/2018	1 %
9/1/2018	0.6 %
8/1/2018	0.4 %
6/1/2018	0.2 %
5/1/2018	1.4 %
4/1/2018	1.3 %
1/1/2018	0.9 %
11/1/2017	0.8 %
10/1/2017	0.4 %
9/1/2017	1.2 %
8/1/2017	0.9 %
7/1/2017	0.3 %
4/1/2017	0.8 %
2/1/2017	0.3 %
1/1/2017	0.7 %
12/1/2016	2.2 %
10/1/2016	1.2 %
9/1/2016	0.3 %
6/1/2016	0.6 %
5/1/2016	1.4 %
4/1/2016	0.8 %
3/1/2016	1.1 %
5/1/2015	0.8 %
4/1/2015	0.7 %
3/1/2015	0.6 %
2/1/2015	2.3 %
9/1/2014	0.1 %
6/1/2014	0.3 %
4/1/2014	0.4 %
2/1/2014	0.1 %
9/1/2013	0.5 %
5/1/2013	0.1 %
2/1/2013	0.6 %
1/1/2013	0.4 %
9/1/2012	0.4 %
8/1/2012	1.9 %
7/1/2012	0.9 %
3/1/2012	1.2 %
2/1/2012	1.1 %
1/1/2012	1.4 %
11/1/2011	0.4 %
9/1/2011	0.6 %
6/1/2011	0.4 %
4/1/2011	0.1 %
3/1/2011	1.1 %
2/1/2011	1.3 %
1/1/2011	2.9 %
12/1/2010	1.4 %
11/1/2010	1.2 %
9/1/2010	1 %
8/1/2010	1 %
5/1/2010	0.5 %
4/1/2010	2.6 %
3/1/2010	1.4 %
2/1/2010	0.3 %
1/1/2010	1.2 %
12/1/2009	0.2 %
11/1/2009	0.1 %
8/1/2009	0.8 %
6/1/2009	0.9 %
5/1/2009	0.1 %
4/1/2009	0.3 %
7/1/2008	0.1 %
6/1/2008	0.6 %
5/1/2008	2.3 %
4/1/2008	0.4 %
3/1/2008	1.2 %
2/1/2008	1.2 %
1/1/2008	1 %
12/1/2007	0.1 %
11/1/2007	0.4 %
9/1/2007	2.3 %
8/1/2007	1 %
7/1/2007	0.8 %
6/1/2007	0.2 %
5/1/2007	0.1 %
4/1/2007	1.1 %
3/1/2007	0.2 %
2/1/2007	0.7 %
12/1/2006	0.1 %
11/1/2006	0.4 %
10/1/2006	0.1 %
8/1/2006	0.4 %
7/1/2006	0.3 %
5/1/2006	1.1 %
4/1/2006	0.8 %
3/1/2006	0.7 %
2/1/2006	0.1 %
1/1/2006	0.2 %
12/1/2005	0.3 %
10/1/2005	0.3 %
9/1/2005	0.7 %
8/1/2005	0.1 %
3/1/2005	1.2 %
2/1/2005	0.1 %
1/1/2005	0.5 %
10/1/2004	0.5 %
9/1/2004	0.2 %
8/1/2004	0.4 %
6/1/2004	0.4 %
5/1/2004	0.7 %
4/1/2004	1.1 %
3/1/2004	1.3 %
2/1/2004	0.7 %
1/1/2004	0.7 %
12/1/2003	0.2 %
11/1/2003	0.2 %
10/1/2003	0.7 %
9/1/2003	0.2 %
6/1/2003	0.4 %
3/1/2003	0.4 %
2/1/2003	0.6 %
1/1/2003	1.4 %
12/1/2002	0.4 %
10/1/2002	0.1 %
9/1/2002	0.4 %
5/1/2002	0.3 %
3/1/2002	0.5 %
2/1/2002	0.1 %
1/1/2002	0.6 %
12/1/2001	0.1 %
6/1/2001	0.1 %
5/1/2001	0.4 %
4/1/2001	0.4 %
3/1/2001	0.3 %
11/1/2000	0.4 %
10/1/2000	0.3 %
9/1/2000	1.4 %
7/1/2000	0.3 %
6/1/2000	0.3 %
5/1/2000	0.1 %
4/1/2000	0.3 %
2/1/2000	1 %
1/1/2000	0.4 %
12/1/1999	0.8 %
11/1/1999	0.5 %
10/1/1999	0.1 %
9/1/1999	0.1 %
5/1/1999	0.4 %
4/1/1999	0.4 %
3/1/1999	0.4 %
2/1/1999	0.2 %
4/1/1998	0.1 %
2/1/1998	0.2 %
12/1/1997	0.3 %
10/1/1997	0.3 %
6/1/1997	0.1 %
4/1/1997	0.2 %
2/1/1997	0.1 %
1/1/1997	0.4 %
12/1/1996	0.2 %
10/1/1996	0.4 %
9/1/1996	0.4 %
5/1/1996	0.7 %
3/1/1996	0.6 %
2/1/1996	0.3 %

...

Similar Macro Indicators to Wholesale Prices Month-over-Month (MoM)

Name	Current	Previous	Frequency
🇦🇹 Consumer Price Index (CPI)	123.9 points	123.8 points	Monthly
🇦🇹 Consumer Price Index for Housing and Utilities	132.7 points	132.5 points	Monthly
🇦🇹 CPI Transport	125.1 points	127.2 points	Monthly
🇦🇹 Food Inflation	2.17 %	1.36 %	Monthly
🇦🇹 GDP Deflator	128.63 points	126.51 points	Quarter
🇦🇹 Harmonized Consumer Prices	134.4 points	134.3 points	Monthly
🇦🇹 Harmonized Inflation Rate MoM	0.4 %	0.3 %	Monthly
🇦🇹 Harmonized Inflation Rate YoY	2.9 %	3.1 %	Monthly
🇦🇹 Inflation Rate	3 %	3.4 %	Monthly
🇦🇹 Inflation Rate MoM	0.3 %	-0.08 %	Monthly
🇦🇹 Producer Price Change	-3.5 %	-4.8 %	Monthly
🇦🇹 Producer Price Inflation MoM	-0.2 %	0.2 %	Monthly
🇦🇹 Producer prices	116.9 points	117.1 points	Monthly
🇦🇹 Wholesale prices	130 points	131 points	Monthly
🇦🇹 Wholesale Prices YoY	-3.1 %	-1.2 %	Monthly

The wholesale price index represents the pricing trends for goods sold by wholesale enterprises. Prices for a basket of 387 items are surveyed from approximately 200 wholesale enterprises, which voluntarily submit around 1,400 wholesale selling prices (excluding VAT) each month.

What is Wholesale Prices Month-over-Month (MoM)?

Wholesale Prices Month-over-Month (MoM) is an essential macroeconomic indicator that provides critical insights into the short-term trends in the pricing of goods at the wholesale level. This metric is highly relevant for businesses, economists, policymakers, and investors who seek to understand the cost dynamics in the supply chain before goods reach the retail market. Eulerpool, as a leading platform for displaying comprehensive macroeconomic data, is committed to providing an in-depth analysis of this key economic indicator, helping stakeholders make well-informed decisions. The wholesale price index, often monitored on a month-over-month basis, reflects the percentage change in the prices of goods sold in bulk. These goods typically include raw materials, intermediate goods, and finished products that are traded between manufacturers and retailers or other businesses. The MoM measurement is particularly valuable as it captures the short-term price movements and can highlight emerging trends or sudden changes in the economic environment. Understanding wholesale prices MoM requires a grasp of the broader economic context. Various factors can influence wholesale prices, including supply chain disruptions, demand fluctuations, production costs, and external factors such as geopolitical events and natural disasters. For instance, a sudden increase in the price of crude oil can lead to higher transportation costs, which may be reflected in the wholesale prices of numerous goods. Additionally, changes in tariffs or trade policies can lead to significant adjustments in wholesale prices, depending on the nature and scope of the measures implemented. For businesses, tracking wholesale prices on a monthly basis is crucial for effective inventory management and pricing strategies. By analyzing trends in wholesale prices, businesses can anticipate changes in their cost structures and adjust their strategies accordingly. For example, a consistent increase in wholesale prices may signal the need for businesses to raise their prices to maintain profit margins or seek more cost-effective suppliers. Conversely, a decrease in wholesale prices could present opportunities for businesses to lower prices, gain a competitive edge, or increase their profit margins. Economists and policymakers also pay close attention to wholesale prices MoM as it can serve as a leading indicator of inflation. Since wholesale prices are one of the initial stages in the pricing chain, significant changes at this level often precede adjustments in retail prices and, consequently, consumer price inflation. By analyzing wholesale prices, policymakers can gauge inflationary pressures and make necessary adjustments to monetary policies to maintain economic stability. For instance, central banks may decide to alter interest rates or adjust other monetary tools based on changes observed in wholesale pricing trends. Investors also find the wholesale prices MoM data invaluable as it can influence market expectations and investment decisions. Changes in wholesale prices can impact corporate earnings, particularly for companies heavily reliant on raw materials and intermediate goods. For instance, an increase in wholesale prices may lead to higher production costs, which can squeeze profit margins for manufacturers and reduce their stock valuations. Conversely, a decrease in wholesale prices can enhance profitability prospects and possibly boost stock prices. Hence, staying informed about wholesale price trends can provide investors with a competitive edge in making strategic investment choices. The calculation of wholesale prices MoM typically involves comparing the average price level of a broad range of goods in the current month to the average price level in the previous month. This comparison is expressed as a percentage change, which can be either positive or negative. A positive percentage indicates an increase in wholesale prices, while a negative percentage signifies a decrease. The data for this calculation is often sourced from comprehensive surveys conducted by national statistical agencies or industry bodies that track the prices of a representative basket of goods. At Eulerpool, we strive to offer accurate and timely data on wholesale prices MoM, along with detailed analysis and visualizations that make it easy to comprehend this complex data. Our platform aggregates data from multiple reliable sources, ensuring that users have access to up-to-date and comprehensive information. Furthermore, we provide insights into the underlying factors driving changes in wholesale prices, enabling users to understand the broader economic implications. One of the significant advantages of monitoring wholesale prices MoM is the ability to react swiftly to market changes. For instance, businesses can use this data to implement dynamic pricing strategies, adjusting prices based on the current cost environment. Policymakers can leverage this information to preemptively address inflationary trends before they translate into higher consumer prices. Investors can use wholesale pricing trends to anticipate market movements and adjust their portfolios accordingly. Moreover, understanding wholesale prices MoM can contribute to more effective supply chain management. By closely monitoring price changes, businesses can optimize their procurement strategies, negotiate better terms with suppliers, or invest in cost-saving technologies. This proactive approach can lead to significant cost savings and improved operational efficiency. In summary, wholesale prices MoM is a critical economic indicator that offers valuable insights into the current state of the economy. By tracking the monthly changes in wholesale prices, stakeholders can gain a better understanding of cost dynamics, making informed decisions that drive growth, stability, and profitability. Eulerpool is dedicated to providing comprehensive data and analysis on wholesale prices MoM, helping our users stay ahead in an ever-evolving economic landscape. Whether you are a business manager, economist, policymaker, or investor, our platform equips you with the knowledge and tools necessary to navigate the complex world of wholesale pricing with confidence and precision.

Country

Austria

Continent

Europe

Highest Value

9.7

Lowest Value

-3.2

Average Value

0.17

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