🇪🇸

Spain Composite Leading Indicator

Price

Price
101.225 Points
Change +/-
-0.069 Points
Percentage Change
-0.07 %

The current value of the Composite Leading Indicator in Spain is 101.225 Points. The Composite Leading Indicator in Spain decreased to 101.225 Points on 4/1/2026, after it was 101.294 Points on 3/1/2026. From 1/1/1985 to 4/1/2026, the average GDP in Spain was 100 Points. The all-time high was reached on 7/1/2007 with 105.3 Points, while the lowest value was recorded on 4/1/2020 with 88.63 Points.

Source: OECD

macro_seo_summary_intro macro_seo_summary_downmacro_seo_summary_avgmacro_seo_summary_highmacro_seo_summary_low

Composite Leading Indicator

Composite Leading Indicator

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Composite Leading Indicator
Date
Composite Leading Indicator
Jan 1, 1985
96.15 points
Feb 1, 1985
96 points
Mar 1, 1985
95.88 points
Apr 1, 1985
95.79 points
May 1, 1985
95.74 points
Jun 1, 1985
95.74 points
Jul 1, 1985
95.79 points
Aug 1, 1985
95.86 points
Sep 1, 1985
95.95 points
Oct 1, 1985
96.06 points
Nov 1, 1985
96.18 points
Dec 1, 1985
96.31 points
Jan 1, 1986
96.46 points
Feb 1, 1986
96.67 points
Mar 1, 1986
96.97 points
Access this data via the Eulerpool API

Composite Leading Indicator History

Composite Leading Indicator — History
DateValue
101.225 Points
101.294 Points
101.313 Points
101.256 Points
101.114 Points
100.895 Points
100.608 Points
100.286 Points
99.978 Points
99.739 Points
...

Similar Macro Indicators to Composite Leading Indicator

Composite Leading Indicator

The Composite Leading Indicator (CLI) is developed to offer early insights into turning points within business cycles, reflecting fluctuations in economic activity relative to its long-term potential. CLIs illustrate short-term economic movements in qualitative, rather than quantitative, terms.

What is Composite Leading Indicator?

The Composite Leading Indicator (CLI) is an indispensable tool in the realm of macroeconomics, offering a nuanced understanding of the future phases of economic activity. At Eulerpool, a premier platform for macroeconomic data, we recognize the profound importance of CLIs and strive to provide detailed and insightful coverage of this crucial economic metric. A Composite Leading Indicator is essentially a statistical measure that aggregates multiple leading indicators into a single index. These leading indicators are economic variables that historically change before the economy as a whole, providing early signals about the direction and magnitude of upcoming economic activity. By combining several indicators, a CLI aims to offer a more reliable and comprehensive forecast, mitigating the risks associated with relying on any single indicator. The primary function of a CLI is to forecast turning points in economic activity—points where an economy shifts from expansion to contraction or vice versa. This predictive capability is particularly valuable for policymakers, investors, and business leaders who need to make informed decisions based on anticipated economic conditions. To construct a CLI, analysts select a set of leading indicators, which are then weighted and combined based on their historical performance and relevance to the economy. Typical components of a CLI might include variables such as stock market prices, consumer confidence indices, manufacturing orders, and interest rate spreads. By capturing a broad spectrum of economic activities, from consumer behavior to financial markets, CLIs provide a holistic and forward-looking measure of economic performance. One of the key advantages of a CLI is its ability to synthesize complex and multifaceted economic data into a single, comprehensible index. This simplicity is a powerful tool for decision-makers, facilitating quick yet informed assessments of economic trends. Furthermore, because CLIs are derived from multiple indicators, they tend to offer a robust signal that is less susceptible to the noise and volatility that can affect individual data points. At Eulerpool, we prioritize accuracy and transparency in our presentation of CLIs. We ensure that our users have access to up-to-date and meticulously curated data, enhancing their ability to predict and respond to economic developments. Our platform not only displays the composite index but also allows users to delve into the individual components, providing a granular view of the underlying economic variables. The application of CLIs extends across various domains. In monetary policy, central banks often rely on CLIs to gauge the future state of the economy and adjust their policy stance accordingly. By anticipating economic downturns, policymakers can implement preemptive measures to mitigate negative impacts. Similarly, in the realm of investment, CLIs serve as vital tools for portfolio managers and analysts. Accurate economic forecasts enable them to make strategic asset allocation decisions, optimizing returns while managing risk. Business leaders also find immense value in CLIs, using them to guide strategic planning, resource allocation, and market entry decisions. The ability to foresee economic expansions or contractions empowers businesses to align their operations with macroeconomic trends, gaining a competitive edge through timely and informed decision-making. Additionally, in the context of fiscal policy, governments utilize CLIs to inform budgetary decisions and public spending initiatives. Anticipating economic cycles allows for more effective distribution of resources, ensuring that fiscal interventions are timely and impactful. It is important to note that while CLIs are powerful predictive tools, they are not without limitations. The accuracy of a CLI depends on the quality and relevance of its components, as well as the appropriateness of the weighting methodology used. Economic dynamics can change over time, and a CLI must be periodically recalibrated to maintain its predictive power. Moreover, external shocks and unforeseen events, such as geopolitical crises or global pandemics, can disrupt the predictive models on which CLIs are based, leading to discrepancies between forecasts and actual economic outcomes. At Eulerpool, we are committed to continuous improvement and rigorous analysis to ensure that our CLIs remain relevant and useful to our users. We employ advanced statistical techniques and leverage extensive historical data to refine our indicators, striving to offer the most accurate and reliable economic forecasts available. In summary, the Composite Leading Indicator is a critical resource in the field of macroeconomics, providing a forward-looking view of economic activity through the aggregation of multiple leading indicators. At Eulerpool, our dedication to precision, transparency, and user empowerment ensures that our CLIs serve as valuable tools for policymakers, investors, business leaders, and governments alike. By offering insights into future economic trends, CLIs facilitate informed decision-making and strategic planning, supporting economic stability and growth in an increasingly complex and dynamic world.

Composite Leading Indicator Spain — FAQ

What is the current Composite Leading Indicator in Spain?

The current Composite Leading Indicator in Spain is 101.225 Points as of 4/1/2026.

How has the Composite Leading Indicator in Spain changed recently?

The Composite Leading Indicator in Spain decreased from 101.294 Points (3/1/2026) to 101.225 Points (4/1/2026).

What is the all-time high for Composite Leading Indicator in Spain?

The all-time high for Composite Leading Indicator in Spain was 105.3 Points, recorded on 7/1/2007.

What is the all-time low for Composite Leading Indicator in Spain?

The all-time low for Composite Leading Indicator in Spain was 88.63 Points, recorded on 4/1/2020.

What is the historical average of Composite Leading Indicator in Spain?

The historical average of Composite Leading Indicator in Spain is 100 Points, calculated over the period from 1/1/1985 to 4/1/2026.

Where does the Composite Leading Indicator data for Spain come from?

The Composite Leading Indicator data for Spain is sourced from OECD and published on Eulerpool.