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The current value of the Machinery Orders in Japan is 7.7 %. The Machinery Orders in Japan increased to 7.7 % on 2/1/2024, after it was 1.9 % on 12/1/2023. From 5/1/1987 to 5/1/2024, the average GDP in Japan was 0.26 %. The all-time high was reached on 10/1/1996 with 25.5 %, while the lowest value was recorded on 9/1/2018 with -16.1 %.
Machinery Orders ·
3 years
5 years
10 years
25 Years
Max
Machine Orders | |
---|---|
5/1/1987 | 4.4 % |
6/1/1987 | 8.8 % |
8/1/1987 | 9.9 % |
11/1/1987 | 2.5 % |
12/1/1987 | 7.4 % |
2/1/1988 | 1.7 % |
3/1/1988 | 4.9 % |
4/1/1988 | 3.9 % |
5/1/1988 | 2.4 % |
6/1/1988 | 1.6 % |
7/1/1988 | 1.8 % |
10/1/1988 | 7.5 % |
11/1/1988 | 1.3 % |
12/1/1988 | 13.6 % |
3/1/1989 | 3.5 % |
4/1/1989 | 3.6 % |
5/1/1989 | 0.7 % |
6/1/1989 | 11.5 % |
8/1/1989 | 1.6 % |
9/1/1989 | 0.2 % |
10/1/1989 | 9.7 % |
12/1/1989 | 8.5 % |
2/1/1990 | 2.9 % |
4/1/1990 | 12.7 % |
7/1/1990 | 3.9 % |
8/1/1990 | 1 % |
9/1/1990 | 0.6 % |
11/1/1990 | 7.3 % |
1/1/1991 | 7.1 % |
4/1/1991 | 7.2 % |
10/1/1991 | 3.9 % |
1/1/1992 | 5.7 % |
2/1/1992 | 6.8 % |
3/1/1992 | 2.4 % |
5/1/1992 | 1 % |
7/1/1992 | 1.7 % |
8/1/1992 | 9.1 % |
11/1/1992 | 10.5 % |
2/1/1993 | 2.2 % |
3/1/1993 | 1.6 % |
5/1/1993 | 4 % |
7/1/1993 | 3.1 % |
9/1/1993 | 8.2 % |
11/1/1993 | 10.3 % |
1/1/1994 | 4.7 % |
3/1/1994 | 11.1 % |
5/1/1994 | 3.8 % |
6/1/1994 | 5.9 % |
8/1/1994 | 0.6 % |
9/1/1994 | 3.1 % |
12/1/1994 | 5.2 % |
3/1/1995 | 5.1 % |
4/1/1995 | 7.9 % |
6/1/1995 | 5.4 % |
9/1/1995 | 0.9 % |
11/1/1995 | 2.7 % |
12/1/1995 | 8.9 % |
2/1/1996 | 3.8 % |
4/1/1996 | 15 % |
7/1/1996 | 3.4 % |
10/1/1996 | 25.5 % |
1/1/1997 | 8.5 % |
2/1/1997 | 0.6 % |
4/1/1997 | 9.3 % |
5/1/1997 | 8.3 % |
7/1/1997 | 3.9 % |
8/1/1997 | 1.2 % |
10/1/1997 | 5.5 % |
1/1/1998 | 12.9 % |
3/1/1998 | 6 % |
9/1/1998 | 4.9 % |
11/1/1998 | 6.9 % |
1/1/1999 | 3.5 % |
3/1/1999 | 0.8 % |
5/1/1999 | 2.3 % |
7/1/1999 | 3.8 % |
9/1/1999 | 8 % |
10/1/1999 | 2.4 % |
12/1/1999 | 10.1 % |
1/1/2000 | 13.5 % |
4/1/2000 | 1.4 % |
5/1/2000 | 3.1 % |
6/1/2000 | 5.8 % |
8/1/2000 | 14.1 % |
10/1/2000 | 5.9 % |
1/1/2001 | 1.1 % |
3/1/2001 | 0.5 % |
7/1/2001 | 1.9 % |
8/1/2001 | 6.4 % |
11/1/2001 | 14.7 % |
2/1/2002 | 6 % |
6/1/2002 | 6.7 % |
7/1/2002 | 0.2 % |
9/1/2002 | 10.5 % |
11/1/2002 | 4 % |
12/1/2002 | 0.8 % |
1/1/2003 | 15.7 % |
3/1/2003 | 9 % |
5/1/2003 | 9.4 % |
6/1/2003 | 1.3 % |
8/1/2003 | 5.4 % |
10/1/2003 | 8.7 % |
12/1/2003 | 0.8 % |
2/1/2004 | 2.8 % |
4/1/2004 | 10.9 % |
5/1/2004 | 3.2 % |
8/1/2004 | 0.4 % |
9/1/2004 | 3.7 % |
10/1/2004 | 0.6 % |
11/1/2004 | 11.5 % |
1/1/2005 | 3.4 % |
2/1/2005 | 0.4 % |
3/1/2005 | 4.9 % |
7/1/2005 | 5.9 % |
8/1/2005 | 3.9 % |
10/1/2005 | 1.7 % |
11/1/2005 | 0.8 % |
2/1/2006 | 3.4 % |
3/1/2006 | 0.6 % |
4/1/2006 | 3.8 % |
5/1/2006 | 1.9 % |
6/1/2006 | 3.9 % |
9/1/2006 | 1.1 % |
11/1/2006 | 6.6 % |
1/1/2007 | 3.3 % |
5/1/2007 | 1.9 % |
7/1/2007 | 9.1 % |
9/1/2007 | 1.4 % |
10/1/2007 | 4 % |
1/1/2008 | 15.1 % |
4/1/2008 | 1.5 % |
5/1/2008 | 8.7 % |
9/1/2008 | 0.4 % |
2/1/2009 | 7.2 % |
6/1/2009 | 5 % |
8/1/2009 | 8.6 % |
9/1/2009 | 4.7 % |
12/1/2009 | 10.5 % |
3/1/2010 | 3.6 % |
4/1/2010 | 4.6 % |
7/1/2010 | 7.2 % |
8/1/2010 | 7.4 % |
10/1/2010 | 4.3 % |
12/1/2010 | 1 % |
1/1/2011 | 4.7 % |
2/1/2011 | 1.8 % |
5/1/2011 | 4.9 % |
6/1/2011 | 7.2 % |
8/1/2011 | 1.4 % |
11/1/2011 | 1.5 % |
1/1/2012 | 3.1 % |
2/1/2012 | 3.5 % |
4/1/2012 | 5.8 % |
7/1/2012 | 4.6 % |
10/1/2012 | 0.7 % |
11/1/2012 | 5.4 % |
2/1/2013 | 6 % |
3/1/2013 | 5.4 % |
5/1/2013 | 12 % |
7/1/2013 | 0.4 % |
8/1/2013 | 5 % |
10/1/2013 | 1.3 % |
11/1/2013 | 8.3 % |
1/1/2014 | 8.2 % |
3/1/2014 | 12.4 % |
6/1/2014 | 7 % |
7/1/2014 | 1.8 % |
8/1/2014 | 4.1 % |
9/1/2014 | 4.8 % |
11/1/2014 | 0.9 % |
12/1/2014 | 9 % |
3/1/2015 | 2.9 % |
4/1/2015 | 3 % |
5/1/2015 | 3.2 % |
9/1/2015 | 8 % |
10/1/2015 | 3.9 % |
12/1/2015 | 2.7 % |
1/1/2016 | 11.7 % |
3/1/2016 | 3.1 % |
5/1/2016 | 0.2 % |
6/1/2016 | 8.2 % |
7/1/2016 | 1.3 % |
9/1/2016 | 5.1 % |
12/1/2016 | 4.9 % |
2/1/2017 | 1.2 % |
3/1/2017 | 1 % |
6/1/2017 | 1.7 % |
7/1/2017 | 0.8 % |
8/1/2017 | 5.8 % |
10/1/2017 | 0.6 % |
11/1/2017 | 1.9 % |
1/1/2018 | 9.3 % |
2/1/2018 | 3.4 % |
4/1/2018 | 6.8 % |
7/1/2018 | 8.4 % |
8/1/2018 | 9.2 % |
10/1/2018 | 4.2 % |
2/1/2019 | 2.7 % |
3/1/2019 | 2.6 % |
4/1/2019 | 7 % |
6/1/2019 | 10.5 % |
11/1/2019 | 10.6 % |
1/1/2020 | 5.7 % |
2/1/2020 | 3.9 % |
7/1/2020 | 2.9 % |
8/1/2020 | 1.6 % |
10/1/2020 | 10.1 % |
11/1/2020 | 1.5 % |
12/1/2020 | 3.7 % |
3/1/2021 | 2.6 % |
5/1/2021 | 6.3 % |
9/1/2021 | 1.6 % |
10/1/2021 | 0.8 % |
11/1/2021 | 4.2 % |
12/1/2021 | 1.7 % |
3/1/2022 | 6.3 % |
4/1/2022 | 8.4 % |
6/1/2022 | 0.6 % |
7/1/2022 | 3.8 % |
10/1/2022 | 3.5 % |
12/1/2022 | 0.3 % |
1/1/2023 | 9.5 % |
4/1/2023 | 5.5 % |
6/1/2023 | 2.7 % |
9/1/2023 | 1.4 % |
10/1/2023 | 0.7 % |
12/1/2023 | 1.9 % |
2/1/2024 | 7.7 % |
Machinery Orders History
Date | Value |
---|---|
2/1/2024 | 7.7 % |
12/1/2023 | 1.9 % |
10/1/2023 | 0.7 % |
9/1/2023 | 1.4 % |
6/1/2023 | 2.7 % |
4/1/2023 | 5.5 % |
1/1/2023 | 9.5 % |
12/1/2022 | 0.3 % |
10/1/2022 | 3.5 % |
7/1/2022 | 3.8 % |
Similar Macro Indicators to Machinery Orders
Name | Current | Previous | Frequency |
---|---|---|---|
🇯🇵 Automobile production | 656,576 Units | 462,349 Units | Monthly |
🇯🇵 Bankruptcies | 841 Companies | 909 Companies | Monthly |
🇯🇵 Business Climate | 13 points | 11 points | Quarter |
🇯🇵 Business Survey Index for Major Manufacturing Companies | -1 % | -6.7 % | Quarter |
🇯🇵 Capacity Utilization | 99.7 points | 99.4 points | Monthly |
🇯🇵 Cement production | 4.088 M Tonnes | 3.835 M Tonnes | Monthly |
🇯🇵 Changes in Inventory Levels | 1.877 T JPY | 502.5 B JPY | Quarter |
🇯🇵 Composite Leading Indicator | 99.958 points | 99.932 points | Monthly |
🇯🇵 Composite PMI | 49.7 points | 52.6 points | Monthly |
🇯🇵 Consistency Index | 115.2 points | 114.2 points | Monthly |
🇯🇵 Corporate profits | 25.275 T JPY | 23.797 T JPY | Quarter |
🇯🇵 Economic Observer Survey | 45.7 points | 47.4 points | Monthly |
🇯🇵 Economic Observer Survey Outlook | 46.3 points | 48.5 points | Monthly |
🇯🇵 Industrial production | 0.3 % | -1.8 % | Monthly |
🇯🇵 Industrial Production MoM | 2.8 % | -0.9 % | Monthly |
🇯🇵 Leading Indicator | 110.9 points | 111.7 points | Monthly |
🇯🇵 Machine Tool Orders | 119.336 B JPY | 122.419 B JPY | Monthly |
🇯🇵 Manufacturing PMI | 50 points | 50.4 points | Monthly |
🇯🇵 Manufacturing Production | -6.22 % | -3.96 % | Monthly |
🇯🇵 Mining Production | -0.9 % | -4.7 % | Monthly |
🇯🇵 New Orders | 1.097 T JPY | 1.019 T JPY | Monthly |
🇯🇵 PMI Non-Manufacturing Sector | 33 points | 34 points | Quarter |
🇯🇵 Private Investments | 6.8 % | 16.4 % | Quarter |
🇯🇵 Reuters Tankan Index | 6 points | 9 points | Monthly |
🇯🇵 Services PMI | 49.4 points | 53.8 points | Monthly |
🇯🇵 Small Business Sentiment | -1 points | -1 points | Quarter |
🇯🇵 Steel production | 6.9 M Tonnes | 6.6 M Tonnes | Monthly |
🇯🇵 Tankan Capex of All Industries | 11.3 % | 10.6 % | Quarter |
🇯🇵 Tankan Outlook for Major Manufacturing Companies | 14 points | 10 points | Quarter |
🇯🇵 Tankan Outlook for Non-Manufacturing Sector | 28 points | 28 points | Quarter |
🇯🇵 Tertiary Industry Index | 101.9 points | 100 points | Monthly |
🇯🇵 Vehicle Registrations | 229,683 Units | 211,131 Units | Monthly |
In Japan, Machinery Orders represent the month-over-month change in private sector machinery orders, excluding those from the shipbuilding and electric power sectors due to their volatility.
Macro pages for other countries in Asia
- 🇨🇳China
- 🇮🇳India
- 🇮🇩Indonesia
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇰🇬Kyrgyzstan
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇼Taiwan
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
What is Machinery Orders?
Certainly! Below is an SEO-optimized description tailored for the "Machinery Orders" category on the Eulerpool website. --- Machinery Orders: A Critical Indicator of Economic Health Machinery Orders are a pivotal macroeconomic indicator that provides profound insights into the business investment trends within an economy. For a professional platform like Eulerpool, dedicated to displaying comprehensive macroeconomic data, understanding and interpreting Machinery Orders is indispensable for investors, policymakers, and economic analysts. Thus, we offer a detailed exploration of what Machinery Orders encompass, their implications for the economy, and their role in shaping informed economic decisions. At its core, Machinery Orders represent the value of new orders placed for industrial machinery. This data is often segmented by domestic and international orders, offering a nuanced view of the demand dynamics within the manufacturing and industrial sectors. The machinery industry is a cornerstone of economic activity, supplying critical equipment necessary for various sectors such as automotive, aerospace, construction, and more. Consequently, the volume of machinery orders is a strong indicator of near-term economic activity and future production capabilities. Economic Significance of Machinery Orders Firstly, Machinery Orders are a leading indicator, meaning they can provide early signals about future economic activity. When businesses expect economic growth and increasing demand, they are more likely to invest in new machinery and equipment to boost their production capacity. Conversely, declining machinery orders may signal cautiousness among businesses about future economic conditions, possibly foreshadowing a slowdown in industrial activity. This metric is intimately tied to capital expenditure (CapEx) cycles. Capital expenditure refers to the funds used by a company to acquire or upgrade physical assets such as property, industrial buildings, or equipment. A rise in machinery orders often precedes an uptick in CapEx, suggesting that companies are planning to expand their operations, increase efficiency, or enter new markets. Therefore, monitoring machinery orders can help investors anticipate shifts in company expenditure patterns and overall economic growth trends. Machinery Orders also have a multiplier effect on the economy. When businesses order more machinery, it doesn’t just boost the machinery manufacturing sector. It also stimulates economic activity in related industries, such as raw material suppliers, logistics companies, and service providers. Furthermore, increased machinery orders can lead to higher employment rates within these sectors, thereby supporting household incomes and consumer spending, which further propels economic growth. Analyzing Trends in Machinery Orders For users of Eulerpool, having access to detailed trends and historical data on Machinery Orders is invaluable. These trends can be analyzed to derive patterns and predict future economic conditions. For instance, a sustained increase in machinery orders over several months or quarters may indicate a robust economic expansion phase. On the other hand, significant month-to-month volatility can signal economic uncertainty or transitions between economic cycles. Moreover, the segmentation of data into domestic and international orders offers a deeper understanding of the economic landscape. An increase in domestic machinery orders can reflect confidence in the local economy, while rising international orders may suggest robust demand from global markets. Thus, investors looking to diversify their portfolios internationally could use this data to identify emerging opportunities and risks in different geographical regions. Case Studies and Real-World Applications To illustrate, consider the role of machinery orders in the post-2008 financial crisis recovery. During the initial phase of the recovery, machinery orders were closely monitored to gauge the speed and sustainability of economic rebound. As companies sought to rebuild and expand their capabilities, a gradual increase in machinery orders signaled improving business confidence and an uptick in economic activity. Similarly, during the COVID-19 pandemic, fluctuations in machinery orders highlighted the economic disruptions and the uneven recovery across different sectors and regions. A sharp decline in orders during the early months of the pandemic reflected the widespread economic uncertainty and halted business investments. However, as some sectors began to recover and adapt to new operational norms, machinery orders began to pick up, indicating emerging recovery trends. Why Machinery Orders Matter to Policy Makers and Businesses For policymakers, machinery orders data can inform decisions on monetary policy, fiscal stimulus, and industrial strategy. A surge in machinery orders might lead to concerns about inflationary pressures, prompting central banks to consider tightening monetary policies. Conversely, a persistent decline in machinery orders could spur legislative measures to stimulate business investment and economic growth, such as tax incentives or interest rate adjustments. Businesses themselves rely on machinery orders data to make strategic decisions. Manufacturers, for example, can use this data to forecast demand for their products and adjust their production schedules accordingly. Similarly, suppliers of raw materials and components can better anticipate market demand and optimize their supply chains to meet future needs efficiently. Investors also find great value in this data, particularly when it comes to equity markets. A rise in machinery orders often benefits the stock prices of companies involved in industrial machinery manufacturing, as well as those in related sectors. Thus, by analyzing trends in machinery orders, investors can make more informed decisions about where to allocate their resources for maximum returns. Understanding the Broader Economic Context To achieve a holistic understanding of economic health and potential trajectories, it’s essential to consider Machinery Orders alongside other macroeconomic indicators. For instance, combining Machinery Orders data with Purchasing Managers' Index (PMI), industrial production figures, and GDP growth rates can provide a comprehensive picture of the economic climate. At Eulerpool, our aim is to offer an integrated platform where users can seamlessly access, compare, and analyze these diverse data sets. This interconnected approach empowers users to make well-informed, strategic decisions based on a robust understanding of the economic environment. In conclusion, Machinery Orders are an essential barometer of economic activity, reflecting business confidence, investment intentions, and future production capabilities. For users of Eulerpool, leveraging this data can unlock deeper economic insights and support strategic decision-making in investment, policy formulation, and business operations. Our mission is to provide precise, timely, and comprehensive macroeconomic data to enable our users to navigate the complexities of the global economy with confidence and foresight. --- This detailed overview should serve to enhance the understanding of Machinery Orders' significance and utility for the sophisticated audience of Eulerpool, incorporating the essential aspects of this macroeconomic indicator in a coherent and professional manner.