The statistic shows the growth rate of the real gross domestic product (GDP) in the United States from 2020 to 2024, with projections up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. In 2024, the growth of the real gross domestic product in the United States was around 2.8 percent compared to the previous year. See U.S. GDP per capita and the US GDP for more information. Real gross domestic product (GDP) of the United States The gross domestic product (GDP) of a country is a crucial economic indicator, representing the market value of the total goods and services produced and offered by a country within a year, thus serving as one of the indicators of a country’s economic state. The real GDP of a country is defined as its gross domestic product adjusted for inflation. An international comparison of economic growth rates has ranked the United States alongside other major global economic players such as China and Russia in terms of real GDP growth. With further growth expected during the course of the coming years, as consumer confidence continues to improve, experts predict that the worst is over for the United States economy. A glance at US real GDP figures reveals an overall increase in growth, with sporadic slips into decline; the last recorded decline took place in Q1 2011. All in all, the economy of the United States can be considered ‘well set’, with exports and imports showing positive results. Apart from this fact, the United States remains one of the world’s leading exporting countries, having been surpassed only by China and tailed by Germany. It is also ranked first among the top global importers. Despite this, recent surveys revealing Americans’ assessments of the U.S. economy have yielded less optimistic results. Interestingly enough, this consensus has been mutual across the social and environmental spectrum. On the other hand, GDP is often used as an indicator for the standard of living in a country – and most Americans seem quite happy with theirs.

The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

With a Gross Domestic Product of over 4.18 trillion Euros, the German economy was by far the largest in Europe in 2023. The similar-sized economies of the United Kingdom and France were the second and third largest economies in Europe during this year, followed by Italy and Spain. The smallest economy in this statistic is that of the small Balkan nation of Montenegro, which had a GDP of 5.7 billion Euros. In this year, the combined GDP of the 27 member states that compose the European Union amounted to approximately 17.1 trillion Euros. The big five Germany’s economy has consistently had the largest economy in Europe since 1980, even before the reunification of West and East Germany. The United Kingdom, by contrast, has had mixed fortunes during the same time period and had a smaller economy than Italy in the late 1980s. The UK also suffered more than the other major economies during the recession of the late 2000s, meaning the French economy was the second largest on the continent for some time afterward. The Spanish economy was continually the fifth-largest in Europe in this 38-year period, and from 2004 onwards, has been worth more than one trillion Euros. The smallest GDP, the highest economic growth in Europe Despite having the smallerst GDP of Europe, Montenegro emerged as the fastest growing economy in the continent, achieving an impressive annual growth rate of 4.5 percent, surpassing Turkey's growth rate of 4 percent. Overall,this Balkan nation has shown a remarkable economic recovery since the 2010 financial crisis, with its GDP projected to grow by 28.71 percent between 2024 and 2029. Contributing to this positive trend are successful tourism seasons in recent years, along with increased private consumption and rising imports. Europe's economic stagnation Malta, Albania, Iceland, and Croatia were among the countries reporting some of the highest growth rates this year. However, Europe's overall performance reflected a general slowdown in growth compared to the trend seen in 2021, during the post-pandemic recovery. Estonia experienced the sharpest negative growth in 2023, with its economy shrinking by 2.3% compared to 2022, primarily due to the negative impact of sanctions placed on its large neighbor, Russia. Other nations, including Sweden, Germany, and Finland, also recorded slight negative growth.

Graph and download economic data for Gross Federal Debt as Percent of Gross Domestic Product (GFDGDPA188S) from 1939 to 2023 about gross, debt, federal, GDP, and USA.

With the decrease in fertility rate and the extension of life expectancy, China’s ageing degree is deepening, and there is a decrease in the number of labor force individuals, leading to an increase in the burden of old-age care and constraining economic growth. The improvement of human capital can promote economic growth. Research is rquired to determine whether factors such as the teacher-student ratio (quality of education) and the average number of years of schooling (quantity of education) can help alleviate the negative impacts of ageing. The findings demonstrate that education, both in terms of quantity and quality, can successfully reduce the detrimental consequences of ageing. The threshold effect model’s findings indicate that both the amount and quality of education can be more effective in reducing the negative impacts of ageing when average years of education surpass 10.87 years and the teacher-student ratio hits 7.80 (780 instructors per 1000 pupils). The results of heterogeneity analysis reveal that both the quantity and quality of education could potentially mitigate the negative effects of ageing in the eastern and western regions, although these factors do not seem to have the same effect in the central region. In the northern and southern regions, it is found that while the quantity of education can help alleviate the negative effects of ageing, the quality of education is effective only in the southern region and not in the northern region. Therefore, one potential strategy to counteract the adverse effects of ageing with a declining number of children is to increase the teacher-student ratio and extend the duration of free education.

The statistic shows the growth in real GDP in Indonesia from between 2020 to 2024, with projections up until 2030. In 2024, Indonesia's real gross domestic product grew by around 5.03 percent compared to the previous year. Indonesia's economy on the rise Indonesia is a nation with a growing economy and a steadily increasing population. It is estimated that the total population in Indonesia will surpass 255 million inhabitants by 2016 and continue to grow fast. Indonesia reports the fourth-largest population worldwide, and it is also the fifteenth-largest country by total area. The country's biggest contributor to gross domestic product is the industry, with services close behind. In 2013, industry contributed more than 45 percent to Indonesia's gross domestic product in Indonesia. The economy in Indonesia has been on the rise over the past years, and Indonesia is slowly establishing itself as one of the world’s most powerful economic players. In 2014, Indonesia's gross domestic product (GDP) amounted to more than 856 billion U.S. dollars, that's higher than Saudi Arabia's GDP, for example. GDP is calculated by analyzing the volume and value of goods and services that a country can produce in a specific time period. Emerging markets and developing economies, such as Indonesia, make up around 57 percent of global gross domestic product. Another indicator of economic strength is GDP per capita, which helps to assess the quality of life in a country and the growth of the economy. GDP per capita in Indonesia has been estimated to almost quadruple in the time period between 2004 and 2014, indicating an increase in living standards.

The Gross Domestic Product (GDP) in Cuba was worth 107.35 billion US dollars in 2020, according to official data from the World Bank. The GDP value of Cuba represents 0.10 percent of the world economy. This dataset provides - Cuba GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

With the decrease in fertility rate and the extension of life expectancy, China’s ageing degree is deepening, and there is a decrease in the number of labor force individuals, leading to an increase in the burden of old-age care and constraining economic growth. The improvement of human capital can promote economic growth. Research is rquired to determine whether factors such as the teacher-student ratio (quality of education) and the average number of years of schooling (quantity of education) can help alleviate the negative impacts of ageing. The findings demonstrate that education, both in terms of quantity and quality, can successfully reduce the detrimental consequences of ageing. The threshold effect model’s findings indicate that both the amount and quality of education can be more effective in reducing the negative impacts of ageing when average years of education surpass 10.87 years and the teacher-student ratio hits 7.80 (780 instructors per 1000 pupils). The results of heterogeneity analysis reveal that both the quantity and quality of education could potentially mitigate the negative effects of ageing in the eastern and western regions, although these factors do not seem to have the same effect in the central region. In the northern and southern regions, it is found that while the quantity of education can help alleviate the negative effects of ageing, the quality of education is effective only in the southern region and not in the northern region. Therefore, one potential strategy to counteract the adverse effects of ageing with a declining number of children is to increase the teacher-student ratio and extend the duration of free education.

Key information about Turkey GDP Per Capita

• Turkey Gross Domestic Product (GDP) per Capita reached 15,463.390 USD in Dec 2024, compared with 13,243.434 USD in Dec 2023.
• Turkey GDP Per Capita data is updated yearly, available from Dec 1998 to Dec 2024, with an average number of 9,735.458 USD.
• The data reached an all-time high of 15,463.390 USD in Dec 2024 and a record low of 3,107.502 in Dec 2001.
• The Turkish Statistical Institute provides GDP per Capita in USD.

• In the latest reports, Turkey GDP expanded 4.030 % YoY in Mar 2023.
• Turkey Nominal GDP reached 245.496 USD bn in Mar 2023.
• Its GDP deflator (implicit price deflator) increased 77.252 % in Mar 2023.
• Gross Savings Rate of Turkey was measured at 23.937 % in Dec 2024.

DO: Adjusted Savings: Net Forest Depletion: % of GNI data was reported at 0.038 % in 2016. This records an increase from the previous number of 0.035 % for 2015. DO: Adjusted Savings: Net Forest Depletion: % of GNI data is updated yearly, averaging 0.021 % from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 0.075 % in 1990 and a record low of 0.000 % in 1984. DO: Adjusted Savings: Net Forest Depletion: % of GNI data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Gross Domestic Product: Nominal. Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. If growth exceeds harvest, this figure is zero.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted Average;

The statistic shows the gross domestic product (GDP) per capita in India from 1987 to 2030. In 2020, the estimated gross domestic product per capita in India amounted to about 1,915.55 U.S. dollars. See figures on India's economic growth here. For comparison, per capita GDP in China had reached about 6,995.25 U.S. dollars in 2013. India's economic progress India’s progress as a country over the past decade can be attributed to a global dependency on cheaper production of goods and services from developed countries around the world. India’s economy is built upon its agriculture, manufacturing and services sector, which, along with its drastic rise in population and demand for employment, led to a significant increase of the nation’s GDP per capita. Despite experiencing rather momentous economic gains since the mid 2000s, the Indian economy stagnated around 2012, with a decrease in general growth as well as the value of its currency. Residents and consumers in India have recently shown pessimism regarding the future of the Indian economy as well as their own financial situation, and with the recent economic standstill, consumer confidence in the country could potentially lower in the near future. Typical Indian exports consist of agricultural products, jewelry, chemicals and ores. Imports consist primarily of crude oil, gold and precious stones, used primarily in the manufacturing of jewelry. As a result, India has seen a rather highly increased demand of several gems in order to boost their jewelry industry and in general their exports. Although India does not export an extensive amount of goods, especially when considering the stature of the country, India has remained as one of the world’s largest exporters.

United States US: Adjusted Savings: Net Forest Depletion: % of GNI data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. United States US: Adjusted Savings: Net Forest Depletion: % of GNI data is updated yearly, averaging 0.000 % from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 0.013 % in 1990 and a record low of 0.000 % in 2016. United States US: Adjusted Savings: Net Forest Depletion: % of GNI data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Nominal. Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. If growth exceeds harvest, this figure is zero.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted Average;

The Canadian travel and tourism market, valued at $16.19 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 1.17% from 2025 to 2033. This relatively modest growth rate, compared to global averages, reflects several factors. Key drivers include Canada's stunning natural landscapes, diverse cultural attractions, and robust infrastructure supporting tourism. The increasing popularity of adventure tourism, eco-tourism, and culinary experiences further fuels market growth. Significant trends shaping the sector include the rise of sustainable and responsible tourism practices, a growing demand for personalized and customized travel itineraries, and the increasing integration of technology, from online booking platforms (like Expedia and Booking Holdings Inc.) to personalized travel apps. However, restraints on market expansion include fluctuating currency exchange rates impacting international visitor numbers, seasonal limitations affecting certain regions, and the ongoing impact of global economic uncertainties on discretionary spending. Market segmentation reveals a complex landscape; leisure travel dominates, followed by business and education tourism. The domestic travel segment remains a substantial portion of the market, though international tourism is crucial for economic growth. Online booking increasingly surpasses offline channels, reflecting consumer preference for convenience and comparison shopping. Major players such as Trafalgar, American Express Global Business Travel (GBT), Intrepid Travel, and others are vying for market share through strategic partnerships, innovative offerings, and targeted marketing campaigns, capitalizing on the specific demands of each segment. Regional variations exist within Canada, with popular destinations such as Banff National Park and Quebec City experiencing consistently high visitor numbers. The forecast period (2025-2033) presents both opportunities and challenges. Companies are expected to focus on enhancing the customer experience through personalized services, leveraging data analytics to better understand traveler preferences, and developing sustainable tourism initiatives to appeal to an increasingly environmentally conscious consumer base. The integration of emerging technologies like artificial intelligence (AI) and virtual reality (VR) in travel planning and marketing could significantly impact the market. The success of companies will hinge on their ability to adapt to evolving consumer demands, effectively manage operational costs in a fluctuating economic climate, and navigate the complexities of sustainable and responsible tourism practices. Further growth may also depend on effective government policies promoting tourism and addressing infrastructure needs, particularly in less developed tourist regions. Continued monitoring of global economic trends and potential disruptions, such as unforeseen geopolitical events or climate change impacts, will be crucial for accurate market forecasting. Recent developments include: October 2023: The Government of Canada invested in tourism across British Columbia to attract new visitors and stimulate local economies. Funding of USD 500,000 has been provided to the Aboriginal Tourism Association of British Columbia to help Indigenous Tourism BC develop its "Invest in Iconic" tourism strategy with Destination BC to grow the Indigenous tourism sector in British Columbia., October 2022: Sabre and BCD Travel announced a landmark technology partnership focused on the growth, innovation, and evolution of corporate travel. Under the newly expanded and long-term technology agreement, BCD Travel expects to increase its booking levels with Sabre. Additionally, the two companies will jointly invest and collaborate on new and advanced solutions that will help accelerate the technology-driven evolution underway across the corporate travel ecosystem.. Key drivers for this market are: Increase in Domestic Travel Driving the Market, Growing Tourist Footfall Driving the Market. Potential restraints include: Restrictions on Purchases of Number of Products, Customs Regulations and Taxation Policies. Notable trends are: Increasing Interest in Multi-Day Tours is Driving the Market.

With the decrease in fertility rate and the extension of life expectancy, China’s ageing degree is deepening, and there is a decrease in the number of labor force individuals, leading to an increase in the burden of old-age care and constraining economic growth. The improvement of human capital can promote economic growth. Research is rquired to determine whether factors such as the teacher-student ratio (quality of education) and the average number of years of schooling (quantity of education) can help alleviate the negative impacts of ageing. The findings demonstrate that education, both in terms of quantity and quality, can successfully reduce the detrimental consequences of ageing. The threshold effect model’s findings indicate that both the amount and quality of education can be more effective in reducing the negative impacts of ageing when average years of education surpass 10.87 years and the teacher-student ratio hits 7.80 (780 instructors per 1000 pupils). The results of heterogeneity analysis reveal that both the quantity and quality of education could potentially mitigate the negative effects of ageing in the eastern and western regions, although these factors do not seem to have the same effect in the central region. In the northern and southern regions, it is found that while the quantity of education can help alleviate the negative effects of ageing, the quality of education is effective only in the southern region and not in the northern region. Therefore, one potential strategy to counteract the adverse effects of ageing with a declining number of children is to increase the teacher-student ratio and extend the duration of free education.

The Chinese Property & Casualty (P&C) insurance market, valued at $242.12 billion in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 7.12% from 2025 to 2033. This expansion is driven by several factors. Rising disposable incomes and increased awareness of risk management among individuals and businesses fuel demand for motor, home, and liability insurance. Government initiatives promoting financial inclusion and digitalization further accelerate market penetration, particularly through online and bancassurance channels. The significant presence of major players like PICC Property & Casualty Company Limited and Ping An Insurance, coupled with a burgeoning middle class, creates a fertile ground for sustained growth. However, challenges remain. Competition among established and emerging insurers is intense, requiring strategic differentiation and innovative product offerings. Furthermore, regulatory changes and potential economic fluctuations could influence the market's trajectory. The market is segmented by line of business (motor, property, home, liability, marine, and other non-life) and distribution channel (direct sales, individual agencies, online, bancassurance, and others). The robust growth in motor insurance, driven by rising vehicle ownership, and the expansion of home insurance, fuelled by increasing urbanization, are expected to dominate market segments. The geographic distribution of the market shows a significant concentration in China, with other regions such as North America, Europe, and Asia Pacific contributing to the global market size. However, the Chinese market’s substantial growth rate surpasses that of most other regions, underlining its importance in the global P&C landscape. Further growth will be influenced by factors such as technological advancements in risk assessment and claims processing, the evolving regulatory environment, and the development of innovative insurance products tailored to the evolving needs of the Chinese consumer. The market’s future success hinges on insurers’ ability to adapt to changing consumer preferences, leverage technological innovations, and navigate the competitive landscape effectively. This will require a dynamic approach incorporating both organic growth strategies and strategic acquisitions to maintain and enhance market share. Recent developments include: January 2024: Generali announced that it would be acquiring a 100% stake in its Chinese property-casualty (P&C) insurance subsidiary, previously 49% owned by the Italian group., May 2023: BYD, the Chinese electric vehicle (EV) manufacturer, announced that it acquired Yi'an P&C Insurance Co, an insurer that was seized by Chinese regulators two years ago as part of a crackdown on financial conglomerates. The CBIRC approved BYD's 100% acquisition.. Key drivers for this market are: Economic Growth and Rising Awareness of Risk Management. Potential restraints include: Economic Growth and Rising Awareness of Risk Management. Notable trends are: Online Insurance and Digitalization is Driving the Market.

Korea Adjusted Savings: Net Forest Depletion: % of GNI data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Korea Adjusted Savings: Net Forest Depletion: % of GNI data is updated yearly, averaging 0.000 % from Dec 1970 (Median) to 2016, with 47 observations. Korea Adjusted Savings: Net Forest Depletion: % of GNI data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Gross Domestic Product: Nominal. Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. If growth exceeds harvest, this figure is zero.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted Average;

The global creator economy market size was valued at more than USD 189.74 billion in 2024 and is expected to register a CAGR of over 22.7%, exceeding USD 2.71 trillion revenue by 2037. Video Streaming segment is projected to secure 30% industry share, fueled by rising demand for high-quality, original streaming content.

The Gross Domestic Product per capita in Canada was last recorded at 44401.72 US dollars in 2024. The GDP per Capita in Canada is equivalent to 352 percent of the world's average. This dataset provides - Canada GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Table of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning. 1. General context of the data set "LUSzoning". The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level. 2. Background and aims of the study using the data set “LUSzoning”. As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations. Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention. 3. The data set “LUSzoning”. The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.