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The current value of the Gross Domestic Product (GDP) from Construction in Bolivia is 561.985 M BOB. The Gross Domestic Product (GDP) from Construction in Bolivia increased to 561.985 M BOB on 9/1/2023, after it was 407.029 M BOB on 6/1/2023. From 3/1/1990 to 12/1/2023, the average GDP in Bolivia was 279.85 M BOB. The all-time high was reached on 12/1/2023 with 780.55 M BOB, while the lowest value was recorded on 3/1/1990 with 86.95 M BOB.
Gross Domestic Product (GDP) from Construction ·
3 years
5 years
10 years
25 Years
Max
GDP from Construction | |
---|---|
3/1/1990 | 86.95 M BOB |
6/1/1990 | 120.69 M BOB |
9/1/1990 | 124.91 M BOB |
12/1/1990 | 141.48 M BOB |
3/1/1991 | 107.71 M BOB |
6/1/1991 | 117.35 M BOB |
9/1/1991 | 130.35 M BOB |
12/1/1991 | 146.92 M BOB |
3/1/1992 | 108.51 M BOB |
6/1/1992 | 127.37 M BOB |
9/1/1992 | 154.72 M BOB |
12/1/1992 | 167.96 M BOB |
3/1/1993 | 134.84 M BOB |
6/1/1993 | 150.1 M BOB |
9/1/1993 | 141.68 M BOB |
12/1/1993 | 164.06 M BOB |
3/1/1994 | 113.18 M BOB |
6/1/1994 | 133.29 M BOB |
9/1/1994 | 177.75 M BOB |
12/1/1994 | 173.43 M BOB |
3/1/1995 | 128.94 M BOB |
6/1/1995 | 139.87 M BOB |
9/1/1995 | 182.2 M BOB |
12/1/1995 | 182.8 M BOB |
3/1/1996 | 141.92 M BOB |
6/1/1996 | 162.62 M BOB |
9/1/1996 | 186.04 M BOB |
12/1/1996 | 200.38 M BOB |
3/1/1997 | 141.8 M BOB |
6/1/1997 | 183.69 M BOB |
9/1/1997 | 195.62 M BOB |
12/1/1997 | 204.35 M BOB |
3/1/1998 | 215.84 M BOB |
6/1/1998 | 227.16 M BOB |
9/1/1998 | 261.97 M BOB |
12/1/1998 | 279.74 M BOB |
3/1/1999 | 159.88 M BOB |
6/1/1999 | 191.21 M BOB |
9/1/1999 | 218.29 M BOB |
12/1/1999 | 249.6 M BOB |
3/1/2000 | 165.64 M BOB |
6/1/2000 | 186.87 M BOB |
9/1/2000 | 194.6 M BOB |
12/1/2000 | 237.75 M BOB |
3/1/2001 | 166.86 M BOB |
6/1/2001 | 171.84 M BOB |
9/1/2001 | 184.56 M BOB |
12/1/2001 | 206.77 M BOB |
3/1/2002 | 148.8 M BOB |
6/1/2002 | 216.82 M BOB |
9/1/2002 | 241.17 M BOB |
12/1/2002 | 241.32 M BOB |
3/1/2003 | 127.49 M BOB |
6/1/2003 | 169.58 M BOB |
9/1/2003 | 168.38 M BOB |
12/1/2003 | 181.92 M BOB |
3/1/2004 | 125.22 M BOB |
6/1/2004 | 171.5 M BOB |
9/1/2004 | 175.2 M BOB |
12/1/2004 | 189.56 M BOB |
3/1/2005 | 134.68 M BOB |
6/1/2005 | 168.15 M BOB |
9/1/2005 | 192.73 M BOB |
12/1/2005 | 207.94 M BOB |
3/1/2006 | 110.13 M BOB |
6/1/2006 | 165.98 M BOB |
9/1/2006 | 215.52 M BOB |
12/1/2006 | 269.91 M BOB |
3/1/2007 | 115.25 M BOB |
6/1/2007 | 180.33 M BOB |
9/1/2007 | 248.83 M BOB |
12/1/2007 | 326.39 M BOB |
3/1/2008 | 124.48 M BOB |
6/1/2008 | 195.34 M BOB |
9/1/2008 | 271.62 M BOB |
12/1/2008 | 359.48 M BOB |
3/1/2009 | 133.54 M BOB |
6/1/2009 | 210.82 M BOB |
9/1/2009 | 300.77 M BOB |
12/1/2009 | 408.68 M BOB |
3/1/2010 | 145.75 M BOB |
6/1/2010 | 233.7 M BOB |
9/1/2010 | 320.81 M BOB |
12/1/2010 | 432.14 M BOB |
3/1/2011 | 157.7 M BOB |
6/1/2011 | 248.27 M BOB |
9/1/2011 | 344.38 M BOB |
12/1/2011 | 472.38 M BOB |
3/1/2012 | 176.02 M BOB |
6/1/2012 | 271.66 M BOB |
9/1/2012 | 374.65 M BOB |
12/1/2012 | 498.5 M BOB |
3/1/2013 | 187.78 M BOB |
6/1/2013 | 291.4 M BOB |
9/1/2013 | 414.04 M BOB |
12/1/2013 | 568.19 M BOB |
3/1/2014 | 199.22 M BOB |
6/1/2014 | 315.07 M BOB |
9/1/2014 | 455.29 M BOB |
12/1/2014 | 605.95 M BOB |
3/1/2015 | 219.31 M BOB |
6/1/2015 | 333.43 M BOB |
9/1/2015 | 466.99 M BOB |
12/1/2015 | 640.32 M BOB |
3/1/2016 | 234.43 M BOB |
6/1/2016 | 370.79 M BOB |
9/1/2016 | 521.47 M BOB |
12/1/2016 | 663.43 M BOB |
3/1/2017 | 251.29 M BOB |
6/1/2017 | 368.1 M BOB |
9/1/2017 | 567.98 M BOB |
12/1/2017 | 692.05 M BOB |
3/1/2018 | 266.07 M BOB |
6/1/2018 | 388.96 M BOB |
9/1/2018 | 569.79 M BOB |
12/1/2018 | 721.09 M BOB |
3/1/2019 | 274.97 M BOB |
6/1/2019 | 403.17 M BOB |
9/1/2019 | 589.88 M BOB |
12/1/2019 | 715.14 M BOB |
3/1/2020 | 266.24 M BOB |
6/1/2020 | 190.44 M BOB |
9/1/2020 | 429.39 M BOB |
12/1/2020 | 719.62 M BOB |
3/1/2021 | 255.22 M BOB |
6/1/2021 | 374.09 M BOB |
9/1/2021 | 532.24 M BOB |
12/1/2021 | 731.4 M BOB |
3/1/2022 | 273.26 M BOB |
6/1/2022 | 394.27 M BOB |
9/1/2022 | 545.21 M BOB |
12/1/2022 | 752.64 M BOB |
3/1/2023 | 284.78 M BOB |
6/1/2023 | 407.03 M BOB |
9/1/2023 | 561.99 M BOB |
Gross Domestic Product (GDP) from Construction History
Date | Value |
---|---|
9/1/2023 | 561.985 M BOB |
6/1/2023 | 407.029 M BOB |
3/1/2023 | 284.781 M BOB |
12/1/2022 | 752.639 M BOB |
9/1/2022 | 545.211 M BOB |
6/1/2022 | 394.266 M BOB |
3/1/2022 | 273.258 M BOB |
12/1/2021 | 731.395 M BOB |
9/1/2021 | 532.235 M BOB |
6/1/2021 | 374.091 M BOB |
Similar Macro Indicators to Gross Domestic Product (GDP) from Construction
Name | Current | Previous | Frequency |
---|---|---|---|
🇧🇴 Annual GDP Growth Rate | 5.11 % | 2.59 % | Quarter |
🇧🇴 GDP | 45.85 B USD | 44.01 B USD | Annually |
🇧🇴 GDP at constant prices | 12.247 B BOB | 13.989 B BOB | Quarter |
🇧🇴 GDP from Agriculture | 1.734 B BOB | 1.52 B BOB | Quarter |
🇧🇴 GDP from Manufacturing | 2.334 B BOB | 2.181 B BOB | Quarter |
🇧🇴 GDP from Public Administration | 1.54 B BOB | 1.435 B BOB | Quarter |
🇧🇴 GDP from Services | 959.316 M BOB | 1.042 B BOB | Quarter |
🇧🇴 GDP from the Transportation Sector | 1.453 B BOB | 1.62 B BOB | Quarter |
🇧🇴 GDP from Utilities | 383.387 M BOB | 278.014 M BOB | Quarter |
🇧🇴 GDP per capita | 3,168.73 USD | 3,134.77 USD | Annually |
🇧🇴 GDP per capita PPP | 9,668.96 USD | 8,244.24 USD | Annually |
🇧🇴 Gross Capital Expenditure | 3.397 B BOB | 2.195 B BOB | Quarter |
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇸United States
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Gross Domestic Product (GDP) from Construction?
The Gross Domestic Product (GDP) from the construction sector is a vital indicator of economic health and development, reflecting the value of construction activities within an economy. At Eulerpool, we specialize in providing comprehensive and detailed macroeconomic data, including insights into GDP contributions from various sectors, such as construction. Understanding GDP from construction involves exploring the total output of all construction-related activities, including residential buildings, non-residential buildings, and civil engineering works. This sector not only encompasses the physical erection and renovation of structures but also integrates the intricate web of industries and supply chains, including raw materials, architectural services, labor, and machinery manufacturing, all contributing to the final economic figure. The construction industry's role in GDP is multifaceted. On one level, it reflects direct economic activity through building and infrastructure creation. However, its importance extends deeper into the socio-economic fabric by driving employment, fostering urbanization, and facilitating other sectors of the economy. By constructing homes, offices, factories, and infrastructure like roads, bridges, and hospitals, the construction industry supports overall economic functionality and growth. GDP from construction is pivotal for several reasons. Firstly, it is a significant barometer for government policymakers. High levels of construction activity typically indicate a robust, growing economy, prompting further investments in infrastructure and development projects. This, in turn, can spur additional economic activities, leading to a virtuous cycle of sustained growth. Conversely, a decline in construction activity might signal economic slowdowns, prompting governments to consider stimulus measures or infrastructural investments to galvanize the economy. Secondly, for investors and market analysts, the construction sector's GDP contribution offers critical insights into market conditions. A thriving construction sector often parallels strong demand for residential and commercial properties, typically alongside buoyant financial markets. Conversely, a downturn in construction might forecast weakened economic conditions, signaling potential caution for investment strategies. Additionally, for urban planners and developers, GDP from construction provides data essential for long-term strategic planning. High GDP contributions from the construction sector might indicate booming urban development and necessitate proactive planning for sustainable growth. It helps in understanding demographic trends, evaluating housing demands, and aligning infrastructural development with population growth forecasts. The GDP from construction is also a reflection of technological advancements and innovation within the sector. Modern construction techniques, sustainable building practices, and the integration of smart technology into infrastructure contribute significantly to economic value. By embracing sustainable practices and cutting-edge technology, the construction sector can improve efficiencies, reduce costs, and create more resilient structures, thereby enhancing the economic contribution and sustainability of the sector’s GDP figures. From a geographical perspective, differences in GDP contributions from construction across regions or countries highlight varying levels of development, economic priorities, and resource allocation. Emerging economies may show higher growth rates in construction GDP due to rapid urbanization and infrastructural upgrades, while developed economies might display stable but lower growth rates reflecting maintenance, upgrades, and innovation-driven activities. Comparing construction GDP globally provides context on where infrastructural investments are shaping the future, spotlighting regions ripe for economic opportunities and growth. At Eulerpool, our commitment to delivering accurate and comprehensive macroeconomic data extends to detailed analysis of the construction sector's GDP. By providing historical data, current figures, and forecasts, we equip our users with the nuanced understanding necessary to make informed decisions. Our tools enable the dissection of the construction GDP into sub-categories, offering a granular view of where economic value is being generated within the sector. Data accessibility and clarity are at the core of our service, ensuring that macroeconomic data like GDP from construction is user-friendly and actionable. We cater to varied end-users ranging from academic researchers and economic analysts to business leaders and policymakers. By deciphering complex economic data into understandable insights, we strive to foster a deeper understanding of the economic landscapes and the pivotal role played by the construction sector. In conclusion, GDP from construction is an indispensable metric within the realm of macroeconomics, offering a window into the economic heartbeat of regions and nations. At Eulerpool, we pride ourselves on being at the forefront of providing high-quality macroeconomic data, including detailed insights into the construction sector's contributions to GDP. By leveraging our comprehensive datasets and analytical tools, stakeholders can make strategic decisions that drive growth, innovation, and sustainable development within the construction industry and beyond.