🇩🇪

Germany Industrial Production Month-over-Month (MoM)

Price

0.4 %

4/1/2026

Change +/-

-0.4 %

Percentage Change

-50 %

The current value of the Industrial Production Month-over-Month (MoM) in Germany is 0.4 %. The Industrial Production Month-over-Month (MoM) in Germany decreased to 0.4 % on 4/1/2026, after it was 0.8 % on 11/1/2025. From 2/1/1991 to 4/1/2026, the average GDP in Germany was 0.04 %. The all-time high was reached on 6/1/2020 with 10 %, while the lowest value was recorded on 4/1/2020 with -18.2 %.

Source: Federal Statistical Office

macro_seo_summary_intro macro_seo_summary_downmacro_seo_summary_avgmacro_seo_summary_highmacro_seo_summary_low

Industrial Production Month-over-Month (MoM)

3 Years
5 Years
10 Years
25 Years
Max

Industrial Production MoM

Access this data via the Eulerpool API

Docs Get Free API Key

Industrial Production Month-over-Month (MoM) History

Industrial Production Month-over-Month (MoM) — History
Date	Value
4/1/2026	0.4 %
11/1/2025	0.8 %
10/1/2025	0.4 %
9/1/2025	0.8 %
7/1/2025	0.1 %
5/1/2025	0.1 %
3/1/2025	2.6 %
1/1/2025	2.4 %
11/1/2024	1.1 %
8/1/2024	1.9 %
6/1/2024	2.3 %
2/1/2024	1.9 %
1/1/2024	0.8 %
5/1/2023	1.1 %
2/1/2023	2.4 %
1/1/2023	2.2 %
11/1/2022	0.4 %
9/1/2022	1.7 %
6/1/2022	0.8 %
5/1/2022	0.9 %
4/1/2022	1.2 %
2/1/2022	0.2 %
12/1/2021	0.9 %
11/1/2021	0.4 %
10/1/2021	3 %
9/1/2021	0.7 %
7/1/2021	1.3 %
3/1/2021	3.1 %
12/1/2020	1.3 %
11/1/2020	1.4 %
10/1/2020	3.4 %
9/1/2020	2 %
8/1/2020	0.3 %
7/1/2020	1.1 %
6/1/2020	10 %
5/1/2020	8.8 %
2/1/2020	0.1 %
1/1/2020	3.5 %
11/1/2019	0.7 %
8/1/2019	0.4 %
5/1/2019	0.1 %
3/1/2019	1 %
12/1/2018	1.3 %
8/1/2018	1.1 %
5/1/2018	1.7 %
3/1/2018	1.4 %
11/1/2017	3 %
8/1/2017	1.9 %
7/1/2017	0.4 %
5/1/2017	0.1 %
4/1/2017	1.9 %
2/1/2017	1.7 %
1/1/2017	0.7 %
10/1/2016	0.5 %
8/1/2016	1.3 %
6/1/2016	1.6 %
4/1/2016	0.4 %
1/1/2016	1.9 %
12/1/2015	0.7 %
10/1/2015	0.7 %
7/1/2015	1.4 %
5/1/2015	0.2 %
4/1/2015	0.7 %
3/1/2015	0.1 %
2/1/2015	0.4 %
12/1/2014	1.6 %
10/1/2014	0.2 %
9/1/2014	2.3 %
7/1/2014	1.5 %
6/1/2014	0.3 %
12/1/2013	0.3 %
11/1/2013	1.6 %
8/1/2013	1.6 %
6/1/2013	1.9 %
4/1/2013	0.8 %
3/1/2013	1.2 %
2/1/2013	0.4 %
12/1/2012	0.2 %
7/1/2012	0.7 %
5/1/2012	1.7 %
3/1/2012	2.1 %
1/1/2012	0.3 %
10/1/2011	1.3 %
7/1/2011	3 %
5/1/2011	0.9 %
4/1/2011	0.1 %
3/1/2011	0.3 %
2/1/2011	0.9 %
1/1/2011	0.8 %
12/1/2010	0.7 %
10/1/2010	1.7 %
9/1/2010	1.2 %
8/1/2010	1.4 %
5/1/2010	2.8 %
4/1/2010	2.4 %
3/1/2010	2.9 %
1/1/2010	1 %
12/1/2009	0.2 %
11/1/2009	0.8 %
9/1/2009	3.5 %
8/1/2009	1.7 %
6/1/2009	1.7 %
5/1/2009	3.8 %
3/1/2009	0.4 %
8/1/2008	1.7 %
6/1/2008	0.9 %
4/1/2008	0.5 %
1/1/2008	1.6 %
12/1/2007	0.7 %
9/1/2007	1.1 %
8/1/2007	0.2 %
7/1/2007	0.6 %
6/1/2007	0.2 %
5/1/2007	2 %
3/1/2007	0.1 %
2/1/2007	0.8 %
12/1/2006	0.9 %
11/1/2006	1.7 %
8/1/2006	0.4 %
7/1/2006	1.5 %
5/1/2006	1.1 %
4/1/2006	2.9 %
2/1/2006	0.2 %
1/1/2006	0.6 %
12/1/2005	0.3 %
10/1/2005	1.8 %
9/1/2005	2.3 %
7/1/2005	1.4 %
6/1/2005	1.8 %
4/1/2005	1.5 %
3/1/2005	0.3 %
1/1/2005	2.1 %
12/1/2004	0.1 %
10/1/2004	0.8 %
7/1/2004	0.9 %
5/1/2004	0.9 %
4/1/2004	1.1 %
12/1/2003	0.1 %
11/1/2003	0.8 %
10/1/2003	2.4 %
7/1/2003	2.1 %
3/1/2003	0.7 %
1/1/2003	1.1 %
11/1/2002	1.7 %
8/1/2002	2.1 %
6/1/2002	1.8 %
3/1/2002	0.5 %
2/1/2002	0.9 %
12/1/2001	0.9 %
8/1/2001	2.5 %
5/1/2001	1.7 %
2/1/2001	1.9 %
12/1/2000	0.7 %
11/1/2000	0.5 %
9/1/2000	0.1 %
8/1/2000	0.6 %
7/1/2000	2.2 %
5/1/2000	2.7 %
4/1/2000	0.7 %
3/1/2000	0.2 %
2/1/2000	1.6 %
12/1/1999	0.2 %
10/1/1999	0.9 %
8/1/1999	0.7 %
7/1/1999	0.5 %
6/1/1999	0.5 %
5/1/1999	0.4 %
4/1/1999	0.4 %
3/1/1999	1.1 %
1/1/1999	2.3 %
12/1/1998	0.1 %
10/1/1998	0.5 %
7/1/1998	2 %
5/1/1998	0.6 %
3/1/1998	1.1 %
1/1/1998	0.8 %
12/1/1997	0.4 %
11/1/1997	0.4 %
10/1/1997	1.5 %
9/1/1997	0.8 %
7/1/1997	1.3 %
6/1/1997	3 %
3/1/1997	1.4 %
2/1/1997	2.4 %
12/1/1996	0.1 %
11/1/1996	1.2 %
9/1/1996	0.5 %
8/1/1996	1.2 %
6/1/1996	0.1 %
5/1/1996	1.1 %
4/1/1996	0.9 %
3/1/1996	2 %
11/1/1995	0.8 %
9/1/1995	1.3 %
5/1/1995	0.6 %
4/1/1995	0.5 %
2/1/1995	3.2 %
12/1/1994	0.1 %
11/1/1994	0.1 %
10/1/1994	2.2 %
9/1/1994	0.8 %
8/1/1994	0.5 %
6/1/1994	0.3 %
4/1/1994	0.8 %
3/1/1994	0.1 %
2/1/1994	1.1 %
1/1/1994	0.4 %
12/1/1993	0.8 %
10/1/1993	0.3 %
8/1/1993	4.1 %
10/1/1992	0.3 %
8/1/1992	0.4 %
2/1/1992	1.5 %
1/1/1992	1.5 %
11/1/1991	1.1 %
10/1/1991	2.1 %
6/1/1991	3.1 %

...

Similar Macro Indicators to Industrial Production Month-over-Month (MoM)

🇩🇪

Automobile production

Monthly

Bankruptcies

Monthly

Business Climate

Monthly

Capacity Utilization

Quarter

Changes in Inventory Levels

Quarter

Composite Leading Indicator

Monthly

Composite PMI

Monthly

Corporate profits

Quarter

Electric Vehicle Registrations

Monthly

Electricity Spot Prices

frequency_null

Factory Orders

Monthly

Ifo Business Climate Index

Monthly

Ifo Expectations

Monthly

Industrial production

Monthly

Manufacturing PMI

Monthly

Manufacturing Production

Monthly

Mining Production

Monthly

New Orders

Monthly

Passenger Car Registrations YoY

Monthly

Services PMI

Monthly

Steel production

Monthly

Vehicle Registrations

Monthly

ZEW Current Situation

Monthly

ZEW Economic Sentiment Index

Monthly

Current

10.5 points

-10.2 points

Industrial Production Month-over-Month (MoM)

In Germany, industrial production gauges the output of enterprises within the industrial sector of the economy. Manufacturing holds significant importance, contributing to 79 percent of total production. The key segments within Manufacturing include machinery and equipment (12 percent of total production), motor vehicles, trailers, and semi-trailers (12 percent), basic metals and fabricated metal products (10 percent), and computers, electronic and optical products, and electrical equipment (10 percent). Additionally, construction represents 11 percent of total output, while energy production accounts for 10 percent.

What is Industrial Production Month-over-Month (MoM)?

Industrial Production MoM (Month-over-Month) is a pivotal economic indicator that measures the change in the output of the industrial sector over a given month compared to the previous month. This sector comprises manufacturing, mining, and utilities, serving as a crucial component of any economy. At Eulerpool, we recognize the necessity of reliable and detailed macroeconomic data for informed decision-making. Thus, our platform provides exhaustive and precise insights into the Industrial Production MoM, empowering professionals, investors, analysts, and policymakers to make well-grounded economic assessments. Understanding the significance of Industrial Production MoM begins with recognizing its role as an early indicator of economic health and momentum. This data point not only reflects the immediate state of industrial productivity but also offers predictive insights into future economic conditions. A rise in industrial production suggests increased activity and expansion in the industrial sector, which can lead to job creation, higher wages, and greater consumer spending. Conversely, a decline may indicate potential slowdowns, reduced investment in industrial infrastructure, and possible recessions. Therefore, frequent monitoring of this indicator is essential for anticipating economic trends and crafting responsive economic policies. In the intricate fabric of economic indicators, Industrial Production MoM data holds a unique place due to its granularity and promptness. Unlike GDP, which is typically reported on a quarterly basis and can be subject to significant revisions, Industrial Production MoM data is available monthly, providing timely snapshots of economic activity. This frequency allows stakeholders to observe short-term economic fluctuations and adjust their strategies accordingly. By offering month-over-month comparisons, this metric helps to smooth out seasonal variations, affording a clearer picture of underlying industrial trends. For investors, Industrial Production MoM is a valuable tool for assessing the performance and potential growth of various industries. Investing heavily relies on understanding which sectors are expanding and which are contracting. The manufacturing component, in particular, is closely watched as it often corresponds with consumer demand and business investment trends. A surge in industrial production might indicate robust consumer demand and a healthy business environment. For instance, an increase in the production of durable goods such as machinery and vehicles often signals business confidence in future economic conditions. Therefore, tracking Industrial Production MoM can aid investors in making sector-specific investment decisions and in timing their market entries and exits more effectively. For policymakers, Industrial Production MoM provides critical input for economic strategy formulation. National governments and central banks use this data to gauge the effectiveness of monetary and fiscal policies. For instance, a consistent decline in industrial production might prompt a central bank to lower interest rates to stimulate economic activity. Moreover, it can drive policy measures aimed at sectoral support such as subsidies, tax reliefs, and investment incentives for the industrial sector. Additionally, Industrial Production MoM figures can also inform trade policies. For economies heavily reliant on industrial exports, understanding production trends can help in negotiating trade agreements and tariffs. Academically, Industrial Production MoM serves as an essential variable in various economic models and forecasts. Economists and researchers utilize this data to dissect the intricacies of industrial cycles and their impacts on overall economic health. By integrating these figures into econometric models, it becomes possible to study the elasticity of industrial production to policy changes, external shocks, and other macroeconomic variables. This analysis can yield insights into the resilience of the industrial sector and its capacity to drive economic recovery under different scenarios. The comprehensive presentation of Industrial Production MoM data on Eulerpool underscores our commitment to delivering unparalleled macroeconomic intelligence. Our platform not only offers raw data but also enriches it with analytical tools such as trend analysis, seasonally adjusted figures, and comparative studies across different economies. Users can access historical data to understand long-term trends and utilize our forecasting features to anticipate future movements. We ensure data accuracy and timeliness, making it a dependable resource for all economic stakeholders. In a globalized economy, the state of industrial production in one country can have ripple effects across the world. Supply chain intricacies mean that a drop in industrial production in a major manufacturing hub can impact production schedules, inventory levels, and shipping times worldwide. Companies with global operations or supply chains need to stay abreast of industrial production trends to manage risks and optimize their logistics strategies. For instance, a company sourcing components from multiple countries can use this data to identify potential disruptions and plan alternative sourcing strategies. On the micro level, business managers and corporate strategists can leverage Industrial Production MoM data to make tangible operational decisions. For manufacturing firms, this data can inform production planning, inventory management, and workforce allocation. By aligning production schedules with industrial trends, firms can optimize their operations, reduce bottlenecks, and minimize costs. Moreover, Industrial Production MoM is integral to the activities of financial analysts and portfolio managers. The data helps them refine their financial models, updating earnings forecasts, and evaluating the risk profiles of their portfolios. As industrial production has a broad-based impact on corporate revenues and profits, maintaining an updated understanding of its short-term movements allows for better predictions of quarterly earnings results and overall market performance. Finally, the accessibility and presentation of Industrial Production MoM data on Eulerpool ensure that all our users, regardless of their technical expertise, can derive meaningful insights. Our user-friendly interface and intuitive design facilitate seamless navigation through complex datasets. We prioritize user experience, ensuring that even the less-experienced can interpret and utilize the wealth of information available. In conclusion, the Industrial Production MoM serves as an indispensable tool in the toolkit of anyone engaged in macroeconomic analysis, investment strategy, policymaking, or business operations. At Eulerpool, we strive to be the premier source of this critical data, offering robust, comprehensive, and accessible insights for all users. By staying informed through our platform, professionals can better navigate the economic landscape, anticipating changes and capitalizing on opportunities with confidence.

Industrial Production Month-over-Month (MoM) Germany — FAQ

What is the current Industrial Production Month-over-Month (MoM) in Germany?

The current Industrial Production Month-over-Month (MoM) in Germany is 0.4% as of 4/1/2026.

How has the Industrial Production Month-over-Month (MoM) in Germany changed recently?

The Industrial Production Month-over-Month (MoM) in Germany decreased from 0.8% (11/1/2025) to 0.4% (4/1/2026).

What is the all-time high for Industrial Production Month-over-Month (MoM) in Germany?

The all-time high for Industrial Production Month-over-Month (MoM) in Germany was 10%, recorded on 6/1/2020.

What is the all-time low for Industrial Production Month-over-Month (MoM) in Germany?

The all-time low for Industrial Production Month-over-Month (MoM) in Germany was -18.2%, recorded on 4/1/2020.

What is the historical average of Industrial Production Month-over-Month (MoM) in Germany?

The historical average of Industrial Production Month-over-Month (MoM) in Germany is 0.04%, calculated over the period from 2/1/1991 to 4/1/2026.

Where does the Industrial Production Month-over-Month (MoM) data for Germany come from?

The Industrial Production Month-over-Month (MoM) data for Germany is sourced from Federal Statistical Office and published on Eulerpool.

Key Figures

Country

Germany

Continent

Europe

Highest Value

Lowest Value

-18.2

Average Value

0.04

The edge that pays for itself.

Germany Industrial Production Month-over-Month (MoM)

Industrial Production Month-over-Month (MoM)

Industrial Production Month-over-Month (MoM)

Industrial Production Month-over-Month (MoM) History

Similar Macro Indicators to Industrial Production Month-over-Month (MoM)

Automobile production

Bankruptcies

Business Climate

Capacity Utilization

Changes in Inventory Levels

Composite Leading Indicator

Composite PMI

Corporate profits

Electric Vehicle Registrations

Electricity Spot Prices

Factory Orders

Ifo Business Climate Index

Ifo Expectations

Industrial production

Manufacturing PMI

Manufacturing Production

Mining Production

New Orders

Passenger Car Registrations YoY

Services PMI

Steel production

Vehicle Registrations

ZEW Current Situation

ZEW Economic Sentiment Index

Industrial Production Month-over-Month (MoM)

Macro pages for other countries in Europe

What is Industrial Production Month-over-Month (MoM)?

Industrial Production Month-over-Month (MoM) Germany — FAQ

Key Figures

All Macro Indicators for Germany