This statistic shows the projected top ten largest national economies in 2050. By 2050, China is forecasted to have a gross domestic product of over ** trillion U.S. dollars.

The statistic depicts U.S. health expenditure as a percentage of the GDP from 2007 to 2009, and a forecast for 2050. In 2009, U.S. health expenditure accounted for 18 percent of the GDP.

The impact of climate change has been forecasted to affect the economies of South-East Asian Nations (ASEAN) the hardest. The maximum projected loss incurred by the ASEAN in the event of a 3.2°C temperature rise is 37.4 percent. This is more than double the forecast loss of the Advanced Asia economies and 10 percent higher than the next largest forecast loss of the Middle East & Africa.

Under current climate policies, Sudan would face a GDP loss of 32 percent by 2050 and a shrinkage of over 80 percent by 2100 due to climate change. According to the source's estimates, this would be the most significant loss among all assessed countries in Africa. Even in a scenario of limiting temperatures to 1.5 degrees Celsius, the damage to Sudan's economy would stand at a GDP reduction of 22 percent by 2050 and 51 percent by 2100. Eight out of 10 countries estimated to record the largest GDP reduction because of climate change globally were located in Africa. The estimates did not consider potential adaptation measures to alleviate the economic loss.

Under current climate policies, Ethiopia would face a GDP loss of ** percent by 2050 and a shrinkage of over ** percent by 2100 due to climate change. According to the source's estimates, in a scenario of limiting temperatures to *** degrees Celsius, the damage to Ethiopia's economy would stand at a GDP reduction of **** percent by 2050 and ** percent by 2100. The estimates did not consider potential adaptation measures to alleviate the economic loss.

Ecuador EC: Population Projection: Mid Year: Growth data was reported at 0.330 % in 2050. This records a decrease from the previous number of 0.350 % for 2049. Ecuador EC: Population Projection: Mid Year: Growth data is updated yearly, averaging 1.120 % from Jun 1990 (Median) to 2050, with 61 observations. The data reached an all-time high of 2.490 % in 1993 and a record low of 0.330 % in 2050. Ecuador EC: Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Ecuador – Table EC.US Census Bureau: Demographic Projection.

Morocco MA: Population Projection: Mid Year data was reported at 42,026,448.000 Person in 2050. This records an increase from the previous number of 41,880,296.000 Person for 2049. Morocco MA: Population Projection: Mid Year data is updated yearly, averaging 28,113,036.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 42,026,448.000 Person in 2050 and a record low of 9,343,384.000 Person in 1950. Morocco MA: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Morocco – Table MA.US Census Bureau: Demographic Projection.

Under current climate policies, Morocco would face a GDP loss of 10 percent by 2050 and a shrinkage of 42 percent by 2100 due to climate change. According to the source's estimates, in a scenario of limiting temperatures to 1.5 degrees Celsius, the damage to Morocco's economy would stand at a GDP reduction of seven percent by 2050 and 18 percent by 2100. The estimates did not consider potential adaptation measures that could alleviate the economic loss.

This is a Microsoft Excel spreadsheet containing input data (from H-D) that were used to calibrate the IPAT model for both historical (1980–2010) and projected (2015–2050) data sets. Also shows results of the calibrated model, predicting Tj and Ij thru 2050 (historical calibration) and 2150 (projected calibration). (XLSX)

Portugal PT: Population Projection: Mid Year: Growth data was reported at -0.630 % in 2050. This records a decrease from the previous number of -0.600 % for 2049. Portugal PT: Population Projection: Mid Year: Growth data is updated yearly, averaging -0.030 % from Jun 1991 (Median) to 2050, with 60 observations. The data reached an all-time high of 0.690 % in 1993 and a record low of -0.630 % in 2050. Portugal PT: Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Portugal – Table PT.US Census Bureau: Demographic Projection.

This statistic shows the top ten countries projected to have the greatest average annual growth in gross domestic product from 2016 to 2050. From 2016 to 2050, Vietnam is projected to have an average annual GDP growth rate of * percent.

Jordan JO: Population Projection: Mid Year: Growth data was reported at 0.900 % in 2050. This records a decrease from the previous number of 0.920 % for 2049. Jordan JO: Population Projection: Mid Year: Growth data is updated yearly, averaging 2.025 % from Jun 1979 (Median) to 2050, with 72 observations. The data reached an all-time high of 18.740 % in 2013 and a record low of 0.770 % in 2024. Jordan JO: Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Jordan – Table JO.US Census Bureau: Demographic Projection.

Kazakhstan KZ: Population Projection: Mid Year: Growth data was reported at 0.260 % in 2050. This records a decrease from the previous number of 0.290 % for 2049. Kazakhstan KZ: Population Projection: Mid Year: Growth data is updated yearly, averaging 0.505 % from Jun 1989 (Median) to 2050, with 62 observations. The data reached an all-time high of 1.320 % in 2009 and a record low of -2.170 % in 1994. Kazakhstan KZ: Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Kazakhstan – Table KZ.US Census Bureau: Demographic Projection.

Laos LA: Population Projection: Mid Year: Growth data was reported at 0.650 % in 2050. This records a decrease from the previous number of 0.660 % for 2049. Laos LA: Population Projection: Mid Year: Growth data is updated yearly, averaging 1.335 % from Jun 1995 (Median) to 2050, with 56 observations. The data reached an all-time high of 2.290 % in 1999 and a record low of 0.650 % in 2050. Laos LA: Population Projection: Mid Year: Growth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Laos – Table LA.US Census Bureau: Demographic Projection.

50 year Projected Urban Growth scenarios. Base year is 2000. Projected year in this dataset is 2050.

By 2020, most forecasters agree, California will be home to between 43 and 46 million residents-up from 35 million today. Beyond 2020 the size of California's population is less certain. Depending on the composition of the population, and future fertility and migration rates, California's 2050 population could be as little as 50 million or as much as 70 million. One hundred years from now, if present trends continue, California could conceivably have as many as 90 million residents. Where these future residents will live and work is unclear. For most of the 20th Century, two-thirds of Californians have lived south of the Tehachapi Mountains and west of the San Jacinto Mountains-in that part of the state commonly referred to as Southern California. Yet most of coastal Southern California is already highly urbanized, and there is relatively little vacant land available for new development. More recently, slow-growth policies in Northern California and declining developable land supplies in Southern California are squeezing ever more of the state's population growth into the San Joaquin Valley. How future Californians will occupy the landscape is also unclear. Over the last fifty years, the state's population has grown increasingly urban. Today, nearly 95 percent of Californians live in metropolitan areas, mostly at densities less than ten persons per acre. Recent growth patterns have strongly favored locations near freeways, most of which where built in the 1950s and 1960s. With few new freeways on the planning horizon, how will California's future growth organize itself in space? By national standards, California's large urban areas are already reasonably dense, and economic theory suggests that densities should increase further as California's urban regions continue to grow. In practice, densities have been rising in some urban counties, but falling in others.

These are important issues as California plans its long-term future. Will California have enough land of the appropriate types and in the right locations to accommodate its projected population growth? Will future population growth consume ever-greater amounts of irreplaceable resource lands and habitat? Will jobs continue decentralizing, pushing out the boundaries of metropolitan areas? Will development densities be sufficient to support mass transit, or will future Californians be stuck in perpetual gridlock? Will urban and resort and recreational growth in the Sierra Nevada and Trinity Mountain regions lead to the over-fragmentation of precious natural habitat? How much water will be needed by California's future industries, farms, and residents, and where will that water be stored? Where should future highway, transit, and high-speed rail facilities and rights-of-way be located? Most of all, how much will all this growth cost, both economically, and in terms of changes in California's quality of life? Clearly, the more precise our current understanding of how and where California is likely to grow, the sooner and more inexpensively appropriate lands can be acquired for purposes of conservation, recreation, and future facility siting. Similarly, the more clearly future urbanization patterns can be anticipated, the greater our collective ability to undertake sound city, metropolitan, rural, and bioregional planning.

Consider two scenarios for the year 2100. In the first, California's population would grow to 80 million persons and would occupy the landscape at an average density of eight persons per acre, the current statewide urban average. Under this scenario, and assuming that 10% percent of California's future population growth would occur through infill-that is, on existing urban land-California's expanding urban population would consume an additional 5.06 million acres of currently undeveloped land. As an alternative, assume the share of infill development were increased to 30%, and that new population were accommodated at a density of about 12 persons per acre-which is the current average density of the City of Los Angeles. Under this second scenario, California's urban population would consume an additional 2.6 million acres of currently undeveloped land. While both scenarios accommodate the same amount of population growth and generate large increments of additional urban development-indeed, some might say even the second scenario allows far too much growth and development-the second scenario is far kinder to California's unique natural landscape.

This report presents the results of a series of baseline population and urban growth projections for California's 38 urban counties through the year 2100. Presented in map and table form, these projections are based on extrapolations of current population trends and recent urban development trends. The next section, titled Approach, outlines the methodology and data used to develop the various projections. The following section, Baseline Scenario, reviews the projections themselves. A final section, entitled Baseline Impacts, quantitatively assesses the impacts of the baseline projections on wetland, hillside, farmland and habitat loss.

Brazil Forecast: Infrastructure Investments to(GDP) Gross Domestic ProductRatio: Transformation data was reported at 1.805 % in 2050. This records a decrease from the previous number of 1.807 % for 2049. Brazil Forecast: Infrastructure Investments to(GDP) Gross Domestic ProductRatio: Transformation data is updated yearly, averaging 2.504 % from Dec 2021 (Median) to 2050, with 30 observations. The data reached an all-time high of 3.154 % in 2026 and a record low of 1.805 % in 2050. Brazil Forecast: Infrastructure Investments to(GDP) Gross Domestic ProductRatio: Transformation data remains active status in CEIC and is reported by Ministry of Development, Industry, Trade and Services. The data is categorized under Brazil Premium Database’s Investment – Table BR.OG003: Infrastructure Investments: Forecast.

Under current climate policies, Kenya would face a GDP loss of ** percent by 2050 and a shrinkage of around ** percent by 2100 due to climate change. According to the source's estimates, in a scenario of limiting temperatures to *** degrees Celsius, the damage to Kenya's economy would stand at a GDP reduction of **** percent by 2050 and ** percent by 2100. The estimates did not consider potential adaptation measures that could alleviate the economic loss.

This map shows the economic damage of a flood from the sea with a small chance, medium chance and large chance in future climate (with climate projection 2050). The flood damage is calculated in function of the water depth, season (worst possible scenario), flow rate and ascent rate, expressed in €/m2.

This map shows the annual average economic damage of floods due to intense precipitation in future climate (with climate projection 2050). The economic risk is calculated as a weighted combination of the 3 economic damage maps with high, medium and low probability, expressed in €/m2/year.

This map shows the economic damage of a flood from watercourses with a low probability, medium probability and high probability in future climate (with climate projection 2050). The flood damage is calculated in function of the water depth, season (worst possible scenario), flow rate and ascent rate, expressed in €/m2.