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The current value of the Construction Orders in Japan is 26.4 %. The Construction Orders in Japan decreased to 26.4 % on 4/1/2024, after it was 31.4 % on 3/1/2024. From 4/1/1985 to 6/1/2024, the average GDP in Japan was 2.54 %. The all-time high was reached on 4/1/2014 with 104.9 %, while the lowest value was recorded on 7/1/2009 with -42.8 %.
Construction Orders ·
3 years
5 years
10 years
25 Years
Max
Construction Contracts | |
---|---|
4/1/1985 | 25 % |
5/1/1985 | 16.6 % |
6/1/1985 | 10.3 % |
7/1/1985 | 5.4 % |
9/1/1985 | 1.3 % |
10/1/1985 | 29.6 % |
1/1/1986 | 10.7 % |
2/1/1986 | 5.6 % |
4/1/1986 | 1.9 % |
5/1/1986 | 1.1 % |
6/1/1986 | 10.8 % |
7/1/1986 | 10.2 % |
8/1/1986 | 19.5 % |
9/1/1986 | 3.5 % |
12/1/1986 | 28.8 % |
1/1/1987 | 10.2 % |
2/1/1987 | 3.7 % |
4/1/1987 | 21.6 % |
5/1/1987 | 9 % |
6/1/1987 | 13.6 % |
7/1/1987 | 16.4 % |
8/1/1987 | 5.3 % |
9/1/1987 | 19.6 % |
10/1/1987 | 25.4 % |
11/1/1987 | 29.5 % |
12/1/1987 | 7.5 % |
1/1/1988 | 11.9 % |
2/1/1988 | 22.4 % |
3/1/1988 | 14.6 % |
4/1/1988 | 41.7 % |
5/1/1988 | 17 % |
6/1/1988 | 20.1 % |
7/1/1988 | 35.9 % |
8/1/1988 | 19.5 % |
10/1/1988 | 22.8 % |
11/1/1988 | 9.5 % |
12/1/1988 | 73.7 % |
1/1/1989 | 29 % |
2/1/1989 | 6.3 % |
3/1/1989 | 10.9 % |
4/1/1989 | 26.2 % |
5/1/1989 | 24.8 % |
6/1/1989 | 14.9 % |
7/1/1989 | 7.1 % |
8/1/1989 | 28.1 % |
9/1/1989 | 32.3 % |
10/1/1989 | 9.3 % |
11/1/1989 | 27 % |
1/1/1990 | 10.3 % |
2/1/1990 | 36.3 % |
3/1/1990 | 52.4 % |
4/1/1990 | 29.8 % |
5/1/1990 | 25.9 % |
6/1/1990 | 37.3 % |
7/1/1990 | 18.9 % |
8/1/1990 | 27.5 % |
9/1/1990 | 26.1 % |
10/1/1990 | 13.8 % |
11/1/1990 | 19 % |
12/1/1990 | 11.6 % |
1/1/1991 | 14.8 % |
2/1/1991 | 28 % |
3/1/1991 | 21.8 % |
9/1/1991 | 9 % |
2/1/1992 | 10.3 % |
3/1/1992 | 19.7 % |
1/1/1993 | 7.6 % |
7/1/1994 | 17.8 % |
8/1/1994 | 9.2 % |
10/1/1994 | 6.7 % |
11/1/1994 | 20.8 % |
12/1/1994 | 6.1 % |
3/1/1995 | 3.2 % |
4/1/1995 | 4.2 % |
5/1/1995 | 25.8 % |
6/1/1995 | 11.3 % |
7/1/1995 | 2.3 % |
9/1/1995 | 4.5 % |
10/1/1995 | 3.1 % |
12/1/1995 | 6.9 % |
1/1/1996 | 17.7 % |
2/1/1996 | 9.2 % |
4/1/1996 | 1.5 % |
7/1/1996 | 1.7 % |
8/1/1996 | 8.6 % |
9/1/1996 | 59.4 % |
10/1/1996 | 1.5 % |
3/1/1997 | 6.5 % |
5/1/1997 | 6.2 % |
7/1/1997 | 2.2 % |
11/1/1997 | 5.2 % |
12/1/1997 | 5.7 % |
3/1/1999 | 5 % |
11/1/1999 | 2.4 % |
1/1/2000 | 25 % |
2/1/2000 | 3.2 % |
3/1/2000 | 7.2 % |
5/1/2000 | 13.9 % |
6/1/2000 | 13 % |
10/1/2000 | 5.3 % |
7/1/2001 | 15 % |
8/1/2001 | 3.1 % |
10/1/2002 | 6.2 % |
4/1/2003 | 16.5 % |
6/1/2003 | 13.7 % |
11/1/2003 | 1.5 % |
12/1/2003 | 8.8 % |
1/1/2004 | 4.1 % |
3/1/2004 | 1.4 % |
4/1/2004 | 9.9 % |
6/1/2004 | 19.3 % |
7/1/2004 | 3.9 % |
8/1/2004 | 8.2 % |
9/1/2004 | 9 % |
10/1/2004 | 0.2 % |
11/1/2004 | 3.5 % |
12/1/2004 | 1.4 % |
1/1/2005 | 15.8 % |
3/1/2005 | 22.8 % |
4/1/2005 | 7.5 % |
5/1/2005 | 0.5 % |
7/1/2005 | 20.8 % |
9/1/2005 | 0.6 % |
10/1/2005 | 0.6 % |
12/1/2005 | 13.2 % |
2/1/2006 | 27.4 % |
4/1/2006 | 2.7 % |
6/1/2006 | 3.5 % |
8/1/2006 | 10.3 % |
9/1/2006 | 9 % |
10/1/2006 | 8.8 % |
11/1/2006 | 9.2 % |
1/1/2007 | 33.9 % |
2/1/2007 | 7 % |
4/1/2007 | 1.8 % |
5/1/2007 | 48.3 % |
6/1/2007 | 26.4 % |
12/1/2007 | 4.7 % |
2/1/2008 | 18.4 % |
3/1/2008 | 6.4 % |
7/1/2008 | 42.3 % |
9/1/2008 | 10.3 % |
10/1/2008 | 47.2 % |
12/1/2009 | 0.6 % |
1/1/2010 | 15.7 % |
3/1/2010 | 42.3 % |
5/1/2010 | 9.2 % |
12/1/2010 | 13.1 % |
2/1/2011 | 19.5 % |
4/1/2011 | 31.4 % |
5/1/2011 | 25.5 % |
6/1/2011 | 6 % |
7/1/2011 | 5.7 % |
8/1/2011 | 9.3 % |
10/1/2011 | 24.3 % |
11/1/2011 | 21 % |
12/1/2011 | 1.5 % |
1/1/2012 | 24.6 % |
4/1/2012 | 16.2 % |
6/1/2012 | 4.6 % |
7/1/2012 | 8 % |
8/1/2012 | 8.7 % |
9/1/2012 | 3.6 % |
12/1/2012 | 4.8 % |
2/1/2013 | 16.3 % |
4/1/2013 | 2 % |
5/1/2013 | 26 % |
6/1/2013 | 21.9 % |
7/1/2013 | 13.7 % |
8/1/2013 | 21.4 % |
9/1/2013 | 89.8 % |
10/1/2013 | 61.1 % |
11/1/2013 | 2.2 % |
12/1/2013 | 4.9 % |
1/1/2014 | 15.2 % |
2/1/2014 | 12.3 % |
4/1/2014 | 104.9 % |
5/1/2014 | 13.7 % |
6/1/2014 | 9.3 % |
7/1/2014 | 24.4 % |
8/1/2014 | 8.6 % |
10/1/2014 | 15.7 % |
11/1/2014 | 16.9 % |
12/1/2014 | 7.5 % |
1/1/2015 | 27.5 % |
2/1/2015 | 1 % |
3/1/2015 | 10.8 % |
6/1/2015 | 15.4 % |
9/1/2015 | 6.7 % |
11/1/2015 | 5.7 % |
12/1/2015 | 14.8 % |
3/1/2016 | 19.8 % |
5/1/2016 | 34.5 % |
8/1/2016 | 13.8 % |
9/1/2016 | 16.3 % |
10/1/2016 | 15.2 % |
12/1/2016 | 7.1 % |
1/1/2017 | 1.1 % |
2/1/2017 | 5.7 % |
3/1/2017 | 1.1 % |
6/1/2017 | 2.3 % |
7/1/2017 | 14.9 % |
10/1/2017 | 6.7 % |
11/1/2017 | 20.5 % |
1/1/2018 | 0.9 % |
2/1/2018 | 19.2 % |
4/1/2018 | 4 % |
8/1/2018 | 0.5 % |
9/1/2018 | 1 % |
1/1/2019 | 19.8 % |
3/1/2019 | 66.1 % |
7/1/2019 | 26.9 % |
10/1/2019 | 6.4 % |
12/1/2019 | 18 % |
2/1/2020 | 0.7 % |
8/1/2020 | 28.5 % |
1/1/2021 | 14.1 % |
2/1/2021 | 2.5 % |
3/1/2021 | 12.5 % |
4/1/2021 | 3.3 % |
5/1/2021 | 7.4 % |
6/1/2021 | 32.3 % |
9/1/2021 | 27.3 % |
10/1/2021 | 2.1 % |
11/1/2021 | 11.6 % |
12/1/2021 | 4.8 % |
1/1/2022 | 11 % |
4/1/2022 | 30.5 % |
5/1/2022 | 19.5 % |
6/1/2022 | 15.5 % |
7/1/2022 | 2.8 % |
8/1/2022 | 17.9 % |
9/1/2022 | 36.6 % |
10/1/2022 | 7.9 % |
12/1/2022 | 8.5 % |
2/1/2023 | 22.3 % |
4/1/2023 | 16.2 % |
5/1/2023 | 4.2 % |
6/1/2023 | 8.6 % |
7/1/2023 | 8.7 % |
10/1/2023 | 4.2 % |
11/1/2023 | 33.6 % |
12/1/2023 | 0.4 % |
1/1/2024 | 9.1 % |
3/1/2024 | 31.4 % |
4/1/2024 | 26.4 % |
Construction Orders History
Date | Value |
---|---|
4/1/2024 | 26.4 % |
3/1/2024 | 31.4 % |
1/1/2024 | 9.1 % |
12/1/2023 | 0.4 % |
11/1/2023 | 33.6 % |
10/1/2023 | 4.2 % |
7/1/2023 | 8.7 % |
6/1/2023 | 8.6 % |
5/1/2023 | 4.2 % |
4/1/2023 | 16.2 % |
Similar Macro Indicators to Construction Orders
Name | Current | Previous | Frequency |
---|---|---|---|
🇯🇵 Construction Starts YoY | -0.6 % | -5.1 % | Monthly |
🇯🇵 Homeownership Rate | 61.2 % | 61.7 % | Annually |
🇯🇵 Housing Index | 124.14 points | 123.45 points | Monthly |
🇯🇵 Housing starts | 66,819 Units | 68,014 Units | Monthly |
🇯🇵 Price-Rent Ratio | 131.617 | 130.538 | Quarter |
🇯🇵 Residential property prices | 2.76 % | 2.03 % | Quarter |
In Japan, construction orders data represent the value of new contracts for construction work received during the month by 50 major constructors. These figures pertain to the value of original contracts and construction for own use, excluding the value of subcontracted orders.
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 Construction Orders?
The macroeconomic indicator known as ‘Construction Orders’ serves as a vital gauge in assessing the economic health and future prospects of the construction sector. At Eulerpool, where we specialize in providing comprehensive macroeconomic data analysis, the ‘Construction Orders’ category is of paramount importance. This indicator, integrated into our sophisticated analytical frameworks, offers invaluable insights to economists, investors, policymakers, and other stakeholders who rely on accurate and timely economic data to make informed decisions. Construction orders encapsulate the total value of new industry orders placed with construction companies over a given period, typically reported on a monthly, quarterly, or annual basis. These orders include residential, non-residential, and infrastructure projects, reflecting the broad spectrum of construction activities within an economy. As such, the metric is a forward-looking indicator, providing early signals about future construction activity and the potential demand for construction-related goods and services. Understanding construction orders helps illuminate the trajectory of the construction sector, which is a significant component of the broader economy due to its substantial multiplier effects. When construction orders increase, it usually signifies growing confidence among businesses and consumers, leading to heightened investment and spending within the construction industry. This, in turn, stimulates ancillary industries including manufacturing, real estate, and financial services, creating a ripple effect that bolsters overall economic growth. The analysis of construction orders must consider various factors, such as seasonal adjustments and regional variations, which can influence the data's interpretation. For instance, construction activity often declines in winter months in temperate climates due to adverse weather conditions. By employing sophisticated statistical techniques, we at Eulerpool ensure that the data presented removes such seasonal biases, offering a more accurate reflection of underlying trends. An uptick in construction orders can indicate a burgeoning economy. Increased residential construction orders often reflect greater consumer confidence and robust personal financing conditions. People are more willing to invest in new homes when they feel secure in their income and job stability. On the other hand, a boost in non-residential construction orders can be a harbinger of expanding business activity, as companies invest in new or expanded facilities. This kind of investment is often tied to anticipated economic growth, wherein businesses expect higher demand for their goods or services. Government policies and fiscal measures, such as infrastructure spending and regulatory changes, also significantly impact construction orders. Infrastructure projects often comprise a substantial portion of total construction orders, driven by public sector investments in roads, bridges, railways, and airports. These projects not only bolster immediate construction sector activity but also contribute long-term benefits to the economy by improving efficiency, connectivity, and productivity. At Eulerpool, careful attention is paid to such policy-driven variations and their implications for future economic activity. Interest rates play another crucial role in influencing construction orders. Lower interest rates reduce the cost of borrowing, making it easier and more attractive for businesses and consumers to undertake construction projects. Conversely, higher interest rates can dampen construction activity by increasing financing costs. By monitoring interest rate trends alongside construction orders, our platform provides a nuanced understanding of their interplay and combined impact on the economy. The cyclical nature of the construction industry means that it is often one of the first sectors to experience the effects of economic upswings and downturns. During periods of economic expansion, rising construction orders spur employment growth within the industry, enhancing wage and income levels, which in turn support broader consumer spending. During economic contractions, however, construction orders tend to decline, leading to job losses and economic slowdowns. As such, construction orders serve as a barometer for the broader economic environment, and understanding these cycles is critical for economic forecasting. At Eulerpool, we recognize the complexity inherent in interpreting construction order data. We utilize advanced data analytics and visualization tools to present this information in an accessible and actionable format. Our platform offers users the ability to drill down into specific segments of the construction market, whether by geography, project type, or time frame, enabling detailed comparative analysis and trend spotting. Moreover, the construction order data is harmonized with other macroeconomic indicators within our repository, allowing for comprehensive cross-sectoral analyses. For instance, correlating construction orders with labor market data, industrial production, or retail sales provides a more holistic view of economic dynamics. This integrated approach facilitates a deeper understanding of the multifaceted interactions that shape economic outcomes. In conclusion, construction orders are a cornerstone macroeconomic indicator, providing critical foresight into the construction sector's health and its broader economic implications. Through rigorous data collection, statistical analysis, and contextual evaluation, Eulerpool delivers a robust platform for tracking and interpreting construction orders. Our commitment to precision and clarity ensures that users have the requisite tools to navigate the complexities of macroeconomic data analysis, supporting informed decision-making and strategic planning. As the construction sector continues to evolve with advancements in technology, changes in regulatory landscapes, and shifting economic conditions, the importance of accurate and timely construction order data will only grow. Eulerpool remains dedicated to being at the forefront of delivering these essential insights, empowering our users with the knowledge they need to succeed in an ever-changing economic landscape.