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Somalia Gross Fixed Capital Formation

Price

2.013 B USD
Change +/-
+199 M USD
Percentage Change
+10.40 %

The current value of the Gross Fixed Capital Formation in Somalia is 2.013 B USD. The Gross Fixed Capital Formation in Somalia increased to 2.013 B USD on 1/1/2021, after it was 1.814 B USD on 1/1/2020. From 1/1/2016 to 1/1/2022, the average GDP in Somalia was 1.75 B USD. The all-time high was reached on 1/1/2022 with 2.7 B USD, while the lowest value was recorded on 1/1/2016 with 1.11 B USD.

Source: Somali National Bureau Of Statistics

Gross Fixed Capital Formation

  • 3 years

  • 5 years

  • Max

Gross Capital Expenditure

Gross Fixed Capital Formation History

DateValue
1/1/20212.013 B USD
1/1/20201.814 B USD
1/1/20191.749 B USD
1/1/20181.567 B USD
1/1/20171.321 B USD
1/1/20161.113 B USD
1

Similar Macro Indicators to Gross Fixed Capital Formation

NameCurrentPreviousFrequency
🇸🇴
Annual GDP Growth Rate
2.8 %2.4 %Annually
🇸🇴
GDP
11.68 B USD10.42 B USDAnnually
🇸🇴
GDP at constant prices
10.42 B USD10.172 B USDAnnually
🇸🇴
GDP per capita PPP
1,452.36 USD1,155.276 USDAnnually

What is Gross Fixed Capital Formation?

Gross Fixed Capital Formation (GFCF) is a critical component of macroeconomic analysis, serving as a key indicator of economic health, investment behavior, and long-term growth potential. At Eulerpool, we prioritize providing our users with comprehensive and precise data on this essential metric, which is indispensable for understanding the trajectories of both emerging and established economies. GFCF is central to the study of macroeconomics, reflecting the net increase in physical assets within an economy over a given period. It encompasses a wide array of investments, from infrastructure projects and machinery to commercial buildings and technology upgrades, illustrating how resources are allocated towards enhancing productive capacity. GFCF's significance cannot be overstated, as it provides vital insights into the level of investment commitment within an economy. High levels of GFCF typically signal robust economic health and investor confidence, suggesting a future increase in production capabilities and economic output. Conversely, low or declining GFCF figures can indicate economic stagnation or contraction, raising red flags about investor sentiment and potential downturns. For investors, policymakers, and analysts, GFCF offers a tangible measure of how an economy is utilizing its resources to build and expand its infrastructure, providing a forward-looking view of economic potential. The calculation of GFCF aggregates expenditures on tangible fixed assets, such as buildings, machinery, vehicles, and equipment. This measure includes both public and private sector investments, reflecting the comprehensive investment landscape of an economy. By tracking these expenditures, GFCF helps analysts discern patterns in economic growth, shifts in sectoral emphasis, and the overall direction of capital flows. For instance, a surge in GFCF within the technology sector might indicate a pivot towards digital transformation, while increased investments in infrastructure could point to development initiatives aimed at enhancing connectivity and reducing logistical bottlenecks. One of the critical roles GFCF plays is in its relationship with Gross Domestic Product (GDP). As a component of GDP, GFCF contributes to the overall economic activity within a country. It is an integral part of the expenditure approach to calculating GDP, alongside other components like consumption, government spending, and net exports. By examining changes in GFCF, analysts can draw conclusions about the underlying drivers of GDP growth and the sustainability of such growth. A balanced growth pattern, featuring healthy levels of GFCF, is often associated with stable, long-term economic development. Furthermore, GFCF is instrumental in assessing the multiplier effect within an economy. Investments in fixed capital can stimulate demand for labor and raw materials, leading to a chain reaction of economic activity. For example, the construction of a new factory not only involves direct spending on building materials and labor but also generates secondary economic benefits through increased demand for local services and goods. This multiplier effect amplifies the initial investment, contributing to broader economic growth and development. As such, monitoring GFCF provides crucial information about potential future economic expansion and the ripple effects of investment decisions. At Eulerpool, our data on GFCF is meticulously curated to provide accurate, up-to-date, and easily interpretable information for our users. We understand the importance of reliable data in making informed decisions, whether you are an investor assessing risk and return, a policymaker devising economic strategies, or an academic conducting research. Our platform offers detailed GFCF data across different countries and sectors, enabling users to perform granular analyses and draw meaningful comparisons. By presenting this data in a user-friendly interface, we ensure that our users can seamlessly integrate GFCF insights into their broader economic assessments. Additionally, GFCF serves as a barometer for the effectiveness of economic policies. Government initiatives aimed at stimulating investment, such as tax incentives, subsidies, or improved regulatory frameworks, can be evaluated through their impact on GFCF levels. An increase in GFCF following policy interventions suggests that such measures are successful in encouraging investment, whereas stagnant or declining GFCF may necessitate a reevaluation of existing policies. For policymakers, this feedback loop is invaluable in refining strategies to foster a conducive environment for investment and economic growth. Moreover, the sectoral composition of GFCF provides a nuanced understanding of economic dynamics. By breaking down GFCF into different sectors, analysts can identify which areas are attracting the most investment and why. For instance, high GFCF in the renewable energy sector could indicate a strategic shift towards sustainable development, driven by both market forces and regulatory frameworks. Conversely, a predominance of investments in traditional sectors might signal resistance to change or a lag in adopting innovative technologies. Understanding these sectoral trends is crucial for stakeholders aiming to align their strategies with broader economic shifts. GFCF also plays a pivotal role in international comparisons. By comparing GFCF levels across countries, analysts can assess relative investment attractiveness and economic vitality. Such comparisons can uncover competitive advantages or highlight potential areas for improvement. For multinational corporations, understanding GFCF trends in different regions aids in strategic decision-making related to market entry, expansion, or resource allocation. For governments, these insights are valuable in positioning their economies more favorably in the global arena, attracting foreign direct investment (FDI) and fostering international partnerships. In summary, Gross Fixed Capital Formation is a cornerstone of macroeconomic analysis that encapsulates the investment in physical assets aimed at enhancing an economy's productive capacity. It is a critical indicator of economic health, investment behavior, and potential growth trajectories. At Eulerpool, we are dedicated to providing comprehensive and precise GFCF data, empowering our users to make informed decisions and gain deeper insights into economic dynamics. Through meticulous data curation and user-friendly presentation, we ensure that GFCF, along with other macroeconomic metrics, serves as a valuable tool for investors, policymakers, and researchers alike. By understanding the intricacies of GFCF, stakeholders can better navigate the complexities of economic landscapes and contribute to sustainable economic development. For further exploration of Gross Fixed Capital Formation and other significant macroeconomic indicators, visit our platform at Eulerpool, where precision meets professional excellence in macroeconomic data analysis.