Graph and download economic data for LESS: Allowance for Loan and Lease Losses, All Commercial Banks (ALLACBQ158SBOG) from Q4 2009 to Q2 2025 about ALLL, leases, loans, banks, depository institutions, rate, and USA.

In the last quarter of 2023, loan loss provisions of commercial banks in the United States amounted to **** percent of the overall value of loans. That ratio was higher than in previous years, with those figures being negative in 2021. This indicator shows the value of the provisions with which banks cover their losses as a percentage of their loans.

Graph and download economic data for Net Loan Losses to Average Total Loans for all U.S. Banks (DISCONTINUED) (USLSTL) from Q1 1984 to Q3 2020 about gains/losses, Net, loans, banks, depository institutions, and USA.

As of the second quarter of 2020, the loan loss provision coverage rate of commercial banks stood at **** percent. The loan provision rate of commercial banks kept increasing since 2013. The rate protected the bank from potential future losses and was calculated by dividing the pretax income and loss provision by net charge-offs.

Graph and download economic data for Delinquency Rate on Credit Card Loans, All Commercial Banks (DRCCLACBS) from Q1 1991 to Q1 2025 about credit cards, delinquencies, commercial, loans, banks, depository institutions, rate, and USA.

United States - Loan Loss Reserve to Total Loans for U.S. Banks with average assets greater than $15B (DISCONTINUED) was 2.44% in July of 2020, according to the United States Federal Reserve. Historically, United States - Loan Loss Reserve to Total Loans for U.S. Banks with average assets greater than $15B (DISCONTINUED) reached a record high of 4.72 in October of 1987 and a record low of 1.08 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Loan Loss Reserve to Total Loans for U.S. Banks with average assets greater than $15B (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

The Global Flood Proportional Economic Loss Risk Deciles is a 2.5 minute grid of flood hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

The statistic shows aircraft hull losses per one million flights from 2013 through 2021, with a breakdown by region. In 2021, there were 0.33 aircraft hull losses per one million flights in the Asia-Pacific region.

United States Title Insurance: Loss Ratio data was reported at 5.100 % in Dec 2024. This stayed constant from the previous number of 5.100 % for Sep 2024. United States Title Insurance: Loss Ratio data is updated quarterly, averaging 4.600 % from Mar 2012 (Median) to Dec 2024, with 52 observations. The data reached an all-time high of 8.500 % in Mar 2012 and a record low of 2.200 % in Sep 2021. United States Title Insurance: Loss Ratio data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG016: Title Insurance: Industry Financial Snapshots.

Graph and download economic data for Delinquency Rate on Consumer Loans, All Commercial Banks (DRCLACBS) from Q1 1987 to Q1 2025 about delinquencies, commercial, loans, consumer, banks, depository institutions, rate, and USA.

The Global Earthquake Proportional Economic Loss Risk Deciles is a 2.5 minute grid of earthquake hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

Insurance: Loss Ratio: Voyage data was reported at 0.710 % in Feb 2025. This records a decrease from the previous number of 2.090 % for Dec 2024. Insurance: Loss Ratio: Voyage data is updated monthly, averaging 0.480 % from Jan 2011 (Median) to Feb 2025, with 167 observations. The data reached an all-time high of 3.080 % in Dec 2020 and a record low of -0.590 % in Mar 2011. Insurance: Loss Ratio: Voyage data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGD001: Insurance Loss Ratio.

Graph and download economic data for Charge-Off Rate on Consumer Loans, All Commercial Banks (CORCACBS) from Q1 1985 to Q1 2025 about charge-offs, commercial, loans, consumer, banks, depository institutions, rate, and USA.

During the fourth quarter of 2023, Lemonade's registered a lower loss ratio than in the fourth quarter of the previous year. In the last three months of 2023, the insurtech company reported a loss ratio of ** percent. Lemonade is a provider of home and pet insurance in the U.S. and select European markets.

The Global Landslide Proportional Economic Loss Risk Deciles is a 2.5 minute grid of landslide hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

⚠️ WARNING: These files are outdated. Please see https://zenodo.org/records/14538469. ⚠️

This archive contains data files from an open source pipeline looking at how crop insurance rates may change in the future within the US Corn Belt using SCYM and CHC-CMIP6. These are available under a Creative Commons license. Unless otherwise specified, these report on SSP245.

See README for more details including column-level description of each resource.

Mexico was the Latin American country with the highest losses in the insurance industry in 2022. That year, the country paid out more than ** billion U.S. dollars in claims. Brazil ranked second with losses amounting to just over ** billion dollars. During this time, Brazil had the highest operating expenses in the insurance industry in Latin America.

We characterize the optimal loss functions for predicted click-through rates in auctions for online advertising. Whereas standard loss functions such as mean squared error or log likelihood severely penalize large mispredictions while imposing little penalty on smaller mistakes, a loss function reflecting the true economic loss from mispredictions imposes significant penalties for small mispredictions and only slightly larger penalties on large mispredictions. We illustrate that when the model is misspecified using such a loss function can improve economic efficiency, but the efficiency gain is likely to be small.

Graph and download economic data for Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, All Commercial Banks (DRCRELEXFACBS) from Q1 1991 to Q1 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

The Global Earthquake Total Economic Loss Risk Deciles is a 2.5 minute grid of global earthquake total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP has been spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data population distributions. A per capita contribution value is determined within each subnational Unit, and then this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by earthquake hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).