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United Kingdom Factory Orders

Price

Price
8 Net Balance
7/1/2022
Change +/-
-10 Net Balance
Percentage Change
-55.56 %

The current value of the Factory Orders in United Kingdom is 8 Net Balance. The Factory Orders in United Kingdom decreased to 8 Net Balance on 7/1/2022, after it was 18 Net Balance on 6/1/2022. From 4/1/1977 to 1/1/2026, the average GDP in United Kingdom was -18.09 Net Balance. The all-time high was reached on 11/1/2021 with 26 Net Balance, while the lowest value was recorded on 10/1/1980 with -79 Net Balance.

Source: Confederation of British Industry

Factory Orders

Factory Orders

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Factory Orders
Date
Factory Orders
May 1, 1985
1 Net Balance
Feb 1, 1987
2 Net Balance
Mar 1, 1987
4 Net Balance
Apr 1, 1987
1 Net Balance
May 1, 1987
10 Net Balance
Jun 1, 1987
3 Net Balance
Jul 1, 1987
6 Net Balance
Aug 1, 1987
11 Net Balance
Sep 1, 1987
9 Net Balance
Oct 1, 1987
10 Net Balance
Nov 1, 1987
13 Net Balance
Dec 1, 1987
18 Net Balance
Jan 1, 1988
20 Net Balance
Feb 1, 1988
20 Net Balance
Mar 1, 1988
20 Net Balance

Factory Orders History

DateValue
7/1/20228 Net Balance
6/1/202218 Net Balance
5/1/202226 Net Balance
4/1/202214 Net Balance
3/1/202226 Net Balance
2/1/202220 Net Balance
1/1/202224 Net Balance
12/1/202124 Net Balance
11/1/202126 Net Balance
10/1/20219 Net Balance
...

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160.993 B GBP
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Industrial Production MoM

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1.1 %
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0.1 %
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0 %
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Manufacturing PMI

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51.8 points
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50.6 points
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Manufacturing Production

Monthly

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2.1 %
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-0.2 %
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Manufacturing Production MoM

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2.1 %
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0.4 %
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Mining Production

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New Orders

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12.049 B GBP
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Passenger Car Registrations YoY

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Services PMI

Monthly

Current
54 points
Previous
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Small Business Sentiment

Quarter

Current
-1 points
Previous
-13 points
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UK Retail Sales YoY

Monthly

Current
2.3 %
Previous
1 %
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Vehicle Registrations

Monthly

Current
144,127 Units
Previous
146,249 Units

In the United Kingdom, the Industrial Trends Survey conducted by the Confederation of British Industry monitors changes in the level of factory orders from approximately 500 companies across 38 manufacturing sectors. This survey encompasses domestic and export orders, inventory levels, pricing, investment intentions, and output expectations. For each variable, manufacturers are queried on whether the current situation is above normal, normal, or below normal. The results are presented as a weighted percentage balance, representing the difference between the percentage of respondents indicating an increase or maintenance of the status quo and the percentage indicating a decrease.

What is Factory Orders?

Factory Orders: A Pillar of Macroeconomic Analysis In the realm of macroeconomic analysis, factory orders represent a cornerstone indicator, providing a comprehensive snapshot of the economic landscape. For professionals in the financial and economic sectors, understanding factory orders is paramount. At Eulerpool, we bring you detailed macroeconomic data, helping you make informed decisions. As we delve into this pivotal category, we aim to uncover its intricate layers, significance, and implications. Factory orders encompass the total orders placed with manufacturers for both durable and non-durable goods. This includes everything from heavy machinery to consumer electronics to apparel. The U.S. Census Bureau typically releases the factory orders report monthly, making it a critical tool for economists, analysts, and policymakers alike. These orders are segmented across various industries, providing granular insights into the health and direction of the manufacturing sector. The importance of factory orders in economic analysis stems from their ability to forecast industrial production, consumer demand, and overall economic activity. When factory orders are robust, it often signals a thriving economic environment with high consumer confidence and business investment. Conversely, a decline in factory orders could be a precursor to economic slowdowns, reduced manufacturing activity, and potential decreases in employment. One of the primary aspects of factory orders is their bifurcation into durable and non-durable goods. Durable goods are items expected to last three years or more, such as automobiles, appliances, and industrial machinery. Tracking orders for durable goods helps in understanding long-term investments by businesses and consumers. An increase in durable goods orders generally indicates confidence in economic stability, as these are significant investments typically financed through long-term plans. On the other hand, non-durable goods include products with a shorter life span, such as clothing, food, and paper products. These are often tied more closely to immediate consumer spending patterns and can provide insights into current consumer confidence and disposable income levels. A particularly valuable aspect of factory orders data is the differentiation between new orders, unfilled orders, shipments, and inventories. New orders represent fresh demand and signal future production requirements. A rise in new orders suggests businesses and consumers are optimistic about future economic conditions, prompting increased manufacturing activity. Unfilled orders, also known as backlogs, show the volume of orders manufacturers have yet to complete, indicating potential future production capacity needs. Shipments reflect the delivery of goods to customers and are a direct measure of economic output. Finally, inventories provide insight into stock levels, which can affect future production decisions and pricing strategies. Analyzing the trends in factory orders over time allows for the identification of patterns and potential inflection points in the economic cycle. For instance, a consistent increase in factory orders may lead to higher employment in the manufacturing sector, as companies ramp up production to meet demand. This can, in turn, boost ancillary industries and contribute to overall economic growth. Conversely, a sustained decline in factory orders might prompt manufacturers to cut back on production, potentially leading to layoffs and a reduction in consumer spending power. Moreover, factory orders data can influence financial markets and investment decisions. Equity markets, in particular, respond to trends in manufacturing orders. A surge in factory orders might boost investor confidence, leading to stock market rallies, particularly in industrial and manufacturing sectors. Conversely, a downturn could trigger a market sell-off as concerns about economic contraction arise. Fixed-income markets are also affected, as expectations of future industrial production can influence bond yields and interest rate movements. For policymakers, factory orders serve as a vital barometer of economic health. Central banks, such as the Federal Reserve, closely monitor factory orders to gauge economic momentum and make informed decisions regarding monetary policy. A robust factory orders report might support arguments for tightening monetary policy to prevent overheating and inflation. Conversely, weak orders may prompt considerations for stimulative measures to support the economy. Internationally, factory orders data can also provide insights into global trade dynamics. For countries highly integrated into global supply chains, such as Germany, Japan, and China, factory orders are indicative of both domestic economic conditions and international demand. Increasing factory orders in export-heavy economies may suggest stronger global demand, while declines can indicate potential slowdowns in major trading partners' economies. At Eulerpool, we emphasize the significance of this often underappreciated economic indicator. Our platform offers detailed and up-to-date factory orders data, empowering you with the knowledge to navigate the complexities of economic trends. Whether you are an investor seeking to anticipate market movements, an economist modeling future economic scenarios, or a policymaker designing economic strategies, our robust data sets provide the insights necessary for your endeavors. Understanding factory orders require more than just a cursory glance at the headline numbers. It involves delving into the nuances of different industry segments, geographical variations, and temporal patterns. For example, surges in technology-related manufacturing orders might signal technological advancements driving economy-wide productivity gains. Similarly, increased orders in the automotive sector could reflect cyclical patterns or shifts in consumer preferences toward new models and technologies. Our commitment at Eulerpool is to present this data with clarity and precision, allowing you to extract the most relevant insights. Our detailed reports dissect factory orders across multiple dimensions, offering customized views that cater to your specific analytical needs. Whether you require a sector-focused analysis, historical trend comparisons, or real-time updates, Eulerpool delivers data that is both comprehensive and actionable. In conclusion, factory orders are an indispensable component of macroeconomic analysis, shedding light on future industrial production, consumer demand, and broader economic activity. At Eulerpool, we are dedicated to bringing you the most reliable and detailed factory orders data, enabling you to stay ahead of economic trends. By leveraging our data, you can make well-informed decisions, anticipate market movements, and contribute to more effective economic policymaking. Explore the depth of factory orders with Eulerpool and enhance your understanding of the economic forces shaping our world.