Increasing sea level rise poses a significant threat to some U.S. cities, including Grand Isla, Louisiana, with a rise rate of more than eight millimeters in 2024. In Alaska, much of the coast is seeing sea levels fall as the land pushes upward, no longer weighed down by glacial ice. Causes of sea level rise Greenhouse gas (GHG) emissions accumulate in the Earth’s atmosphere and trap solar radiation creating a warming effect. As a result, glaciers and ice sheets melt – in addition to the thermal expansion of seawater, causing the mean sea level to rise. If future GHG emissions are not cut down, sea levels could increase up to an additional *** meters along the U.S. coastline by the end of the century. Impacts of the rising sea level in the U.S. By 2100, coastal shielding expenses are forecast to reach *** billion U.S. dollars across the United States alone. Furthermore, several million residents will likely migrate further inland to avoid rising sea levels. This is especially concerning for Florida, which has one of the highest shares of homes at flood risk across the country.

Statista estimates have created a hypothetical forecast of the potential cost to residential real estate due to rising sea-levels if no further action is taken to mitigate risks across Europe. The estimate, which takes 2020 estimates into account for total populations, populations below locked-in seas levels, the number of residential buildings in at-risk areas and the average size and cost of real estate by city. The scenario measures lower and upper estimates for global average temperature changes by 2100. Far more can be learnt on the potential costs to real estate in Europe through sea-level rises in our report. As well as giving easy to digest figures, the report also covers a global perspective and how each city is combating the growing threat of coastal and river flooding due to climate change.

Average daily rates for Airbnb and Vrbo listings have risen steadily in some of the top destinations for digital nomads.

Vietnam Natural Increase Rate: Urban data was reported at 8.000 ‰ in 2017. This records a decrease from the previous number of 9.300 ‰ for 2016. Vietnam Natural Increase Rate: Urban data is updated yearly, averaging 10.700 ‰ from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 12.400 ‰ in 2002 and a record low of 8.000 ‰ in 2017. Vietnam Natural Increase Rate: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Vital Statistics.

The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Net Percentage of Large Domestic Banks Increasing Spreads of Loan Rates Over Banks' Cost of Funds to Large and Middle-Market Firms (SUBLPDCILTSLGNQ) from Q2 1990 to Q2 2025 about funds, cost, large, spread, domestic, Net, percent, loans, banks, depository institutions, rate, and USA.

Area of potential coastal and riverine flooding in Boston under various sea level rise scenarios (9-inch in 2030s, 21-inch in 2050s, and 36-inch in 2070s) at high tide and in the event of storms with an annual exceedance probability (AEP) of 10 and 1 percent.Learn more about the projections from Climate Ready Boston’s Projections Consensus and data methodology in Climate Ready Boston’s Vulnerability Assessment. Source: Coastal flood hazard data created as part of Climate Ready Boston are a reanalysis of the coastal flood hazard data developed as part of the MassDOT-FHWA analysis. In 2015, MassDOT released an analysis of coastal flood hazards using state-of-the-art numerical models capable of simulating thousands of potential nor’easters and tropical storms coincident with a range of tide levels, riverine flow rates in the Charles and Mystic Rivers, and sea level rise conditions.Definitions:9-inch Sea Level Rise: By the end of the 2050s, 9 inches of sea level rise is expected consistently across emissions scenarios and is likely to occur as early as the 2030s. 9” Climate scenario and coastal/riverine hazard flooding data are the MassDOT-FHWA high sea level rise scenario for 2030. Actual sea level rise value is 0.62 feet above 2013 tide levels, with an additional 0.74 inches to account for subsidence.21-inch Sea Level Rise: In the second half of the century, 21 inches is expected across all emissions scenarios. 21” Data were interpolated from the MassDOT-FHWA 2030 and 2070/2100 data.36-inch Sea Level Rise: The highest sea level rise considered, 36 inches, is highly probable toward the end of the century. This scenario has a greater than 50 percent chance of occurring within this time period for the moderate emissions reduction and business-as-usual scenarios and a nearly 50 percent chance for the major emissions reduction scenario. 36” Climate scenario and coastal/riverine hazard fooding data are the MassDOT-FHWA high sea level rise scenario for 2070/intermediate sea level rise scenario for 2100. Actual sea level rise value is 3.2 feet above 2013 tide levels, with an additional 2.5 inches to account for subsidence.High Tide: Average monthly high tide is approximately two feet higher than the commonly used mean higher high water (MHHW, the average of the higher high water levels of each tidal day), and lower than king tides (the twice-a year high tides that occur when the gravitational pulls of the sun and the moon are aligned).10% Annual Flood: A “10 percent annual chance flood” is a flood event that has a 1 in 10 chance of occurring in any given year. Another name for this flood, which is the primary coastal flood hazard delineated in FEMA FIRMs, is the “10-year flood.”1% Annual Flood: A “1 percent annual chance flood” is a flood event that has a 1 in 100 chance of occurring in any given year. Another name for this flood, which is the primary coastal flood hazard delineated in FEMA FIRMs, is the “100-year flood.”

According to a survey conducted among European banks in the third quarter of 2023, the ************* of respondents declared to expect rising interest rates to have a ******** impact on their bank. Only *** percent of the respondents thought that rising central banks' interest rates would have a rather ******** impact on their banks' profitability in the next six to twelve months.

Climate change is having profound effects on natural and socio-economic systems, especially via extreme climate events. Using panel data from 129 prefectural-level cities in China from 2013 to 2019, this paper explores the effects of extreme climate on crime rates based on a climate index and manual collection of crime data. The results showed that extreme climate has a significant positive effect on crime rates, increasing by 0.035% for every 1% increase in the extreme climate index. This occurs through two mechanistic pathways: reduced agricultural output and lower employment income. The heterogeneity analysis shows that extreme climate has a greater impact on crime rates in eastern areas which are economically developed and have high levels of immigration. This study provides new perspectives on the impact of extreme climate on the economy and society, in which governments can actively participate in climate governance through environmental protection, energy conservation and emission reduction, and technological innovation to reduce crime rates by reducing the occurrence of extreme climate.

The goal of this project is to quantify, at the National scale, the relative susceptibility of the Nation's coast to sea-level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.

The statistic shows the inflation rate in India from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2024, the inflation rate in India was around 4.67 percent compared to the previous year. See figures on India's economic growth for additional information. India's inflation rate and economy Inflation is generally defined as the increase of prices of goods and services over a certain period of time, as opposed to deflation, which describes a decrease of these prices. Inflation is a significant economic indicator for a country. The inflation rate is the rate at which the general rise in the level of prices, goods and services in an economy occurs and how it affects the cost of living of those living in a particular country. It influences the interest rates paid on savings and mortgage rates but also has a bearing on levels of state pensions and benefits received. A 4 percent increase in the rate of inflation in 2011 for example would mean an individual would need to spend 4 percent more on the goods he was purchasing than he would have done in 2010. India’s inflation rate has been on the rise over the last decade. However, it has been decreasing slightly since 2010. India’s economy, however, has been doing quite well, with its GDP increasing steadily for years, and its national debt decreasing. The budget balance in relation to GDP is not looking too good, with the state deficit amounting to more than 9 percent of GDP.

Vital Statistics: Natural Increase Rate: Kuwaiti data was reported at 23.460 ‰ in 2017. This records a decrease from the previous number of 24.070 ‰ for 2016. Vital Statistics: Natural Increase Rate: Kuwaiti data is updated yearly, averaging 26.900 ‰ from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 29.400 ‰ in 2008 and a record low of 23.460 ‰ in 2017. Vital Statistics: Natural Increase Rate: Kuwaiti data remains active status in CEIC and is reported by Central Statistical Bureau. The data is categorized under Global Database’s Kuwait – Table KW.G004: Vital Statistics.

The world’s coastal areas are increasingly at risk of coastal flooding due to sea-level rise (SLR). We present a novel global dataset of extreme sea levels, the Coastal Dataset for the Evaluation of Climate Impact (CoDEC), which can be used to accurately map the impact of climate change on coastal regions around the world. The third generation Global Tide and Surge Model (GTSM), with a coastal resolution of 2.5 km (1.25 km in Europe), was used to simulate extreme sea levels for the ERA5 climate reanalysis from 1979 to 2017, as well as for future climate scenarios from 2040 to 2100. The validation against observed sea levels demonstrated a good performance, and the annual maxima had a mean bias (MB) of -0.04 m, which is 50% lower than the MB of the previous GTSR dataset. The CoDEC-ERA5 dataset is the successor of GTSR (Muis et al., 2016) and is based on the next generation climate and hydrodynamic models. The main improvements are summarized in Table 2 of the accompanying paper (Muis et al., 2020).

Slovakia Vital Statistics: Crude Rate of Total Increase data was reported at 2.706 ‰ in Aug 2018. This records a decrease from the previous number of 2.863 ‰ for Jul 2018. Slovakia Vital Statistics: Crude Rate of Total Increase data is updated monthly, averaging 1.130 ‰ from Jan 2000 (Median) to Aug 2018, with 224 observations. The data reached an all-time high of 4.800 ‰ in Sep 2011 and a record low of -2.930 ‰ in Dec 2013. Slovakia Vital Statistics: Crude Rate of Total Increase data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.G004: Vital Statistics.

SLAMM uses elevation, accumulation of sediments, wetland accretion and erosion rates, and sea level rise to predicatively model long-term wetland and shoreline changes. In Maryland, SLAMM was run using the best available science, including sea level rise rates identified at 1.37 feet by year 2050, using base sea levels in the year 2010. The resulting changes to coastal marshes and shorelines can be visualized in their future states by 2050, 2070, and 2100 under a scenario of growing global greenhouse gas emissions with a probability of at least 17%. These results will be used to help frame new land conservation targeting in Maryland's coastal zone. To learn more about Maryland's 2021 SLAMM run, please refer to Warren Pinnacle Consulting, Inc. https://warrenpinnacle.com/prof/SLAMM/EESLR_MD/ Last Updated: 05/23/2023This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Weather/MD_WetlandAdaptationtoSeaLevelRise/MapServer/7Click to download file

In Februar 2025, South Korea's central bank reduced the base rate to **** percent. Between May 2020 and January 2023, the rate had seen a continuous increase, impacting especially the housing market during this time.

ABSTRACT Food prices play a major role in setting inflation rates, and in recent years’ global climatic conditions has worsened a lot while global demand is increasing due to the growth of the middle class in countries such as China and India. Rising food prices remains a key concern for the government of Saudi Arabia. Saudi Arabia remains vulnerable to increases in food prices due to its high dependence on imports. The Saudi economy is an open-market based economy which is reflected by data of foreign trade with trading partners of the Kingdom. High degree of economic openness of a country causes the domestic inflation rate to be affected by change in the prices of goods in the country of origin. Saudi government is facing the challenge of limiting inflation amid a spike in global food prices. Another major challenge to the effectiveness of the Saudi monetary policy is the lack of autonomy due to the pegged exchange rate system with the US dollar. This paper attempts to study the market dynamics of the kingdom of Saudi Arabia, drivers responsible for inflation and measures that has been taken by the government to deal with the situation.

Ocean warming and acidification are serious threats to marine life. While each stressor alone has been studied in detail, their combined effects on the outcome of ecological interactions are poorly understood. We measured predation rates and predator selectivity of two closely related species of damselfish exposed to a predatory dottyback. We found temperature and CO2 interacted synergistically on overall predation rate, but antagonistically on predator selectivity. Notably, elevated CO2 or temperature alone reversed predator selectivity, but the interaction between the two stressors cancelled selectivity. Routine metabolic rates of the two prey showed strong species differences in tolerance to CO2 and not temperature, but these differences did not correlate with recorded mortality. This highlights the difficulty of linking species-level physiological tolerance to resulting ecological outcomes. This study is the first to document both synergistic and antagonistic effects of elevated CO2 and temperature on a crucial ecological process like predator-prey dynamics. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2015) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation is 2015-07-09.

Regression analysis for four unhappiness variables incorporating COVID-19 inflow rates, having had COVID-19 and/or being vaccinated Census Household Pulse Surveys, 2021–2022, survey weeks 22–44.