Graph and download economic data for Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks (DRSFRMACBS) from Q1 1991 to Q3 2025 about domestic offices, delinquencies, 1-unit structures, mortgage, family, residential, commercial, domestic, banks, depository institutions, rate, and USA.

Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up but remained stable throughout 2024. In the second quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

Federal Housing Administration (FHA) loans had the highest delinquency rate in the United States in 2025. As of the second quarter of the year, ***** percent of the outstanding one-to-four family housing mortgage loans were ** days or more delinquent. This percentage was lower for conventional loans and Veterans Administration loans. Despite a slight increase, the delinquency rate for all mortgages was one of the lowest on record.

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 Q3 2025 about farmland, domestic offices, delinquencies, real estate, commercial, domestic, loans, banks, depository institutions, rate, and USA.

The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

Subprime and the collapse of the U.S. mortgage market

The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

Market Panic and The Great Recession

As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.

View quarterly updates and historical trends for US Mortgages Delinquent by 90 or More Days. from United States. Source: Federal Reserve Bank of New York.…

The delinquency rate on real estate loans at commercial banks in the United States rose slightly between the fourth quarter of 2022 and the fourth quarter of 2024. Nevertheless, delinquencies remained below the 2020 levels, when the share of loans past due 30 days rose due to the COVID-19 pandemic. Recently, the gap between residential and commercial real estate loans has narrowed, with the delinquency rate for commercial real estate rising faster than for residential.

United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks was 1.78% in July of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks reached a record high of 11.49 in January of 2010 and a record low of 1.41 in October of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Single-Family Residential Mortgages, Booked in Domestic Offices, All Commercial Banks - last updated from the United States Federal Reserve on December of 2025.

These tables provide additional detail on the loan assets of U.S. depository institutions by reporting mortgage and consumer loan portfolios broken down by the banks' estimates of the probability of default, as defined below. This information facilitates analysis of the potential concentration of risk in specific loan categories. The institutions reporting this information are generally those with $10 billion or more of assets.

The data set HMEQ reports characteristics and delinquency information for 5,960 home equity loans. A home equity loan is a loan where the obligor uses the equity of his or her home as the underlying collateral. The data set has the following characteristics: ◾ BAD: 1 = applicant defaulted on loan or seriously delinquent; 0 = applicant paid loan ◾ LOAN: Amount of the loan request ◾ MORTDUE: Amount due on existing mortgage ◾ VALUE: Value of current property ◾ REASON: DebtCon = debt consolidation; HomeImp = home improvement ◾ JOB: Occupational categories ◾ YOJ: Years at present job ◾ DEROG: Number of major derogatory reports ◾ DELINQ: Number of delinquent credit lines ◾ CLAGE: Age of oldest credit line in months ◾ NINQ: Number of recent credit inquiries ◾ CLNO: Number of credit lines ◾ DEBTINC: Debt-to-income ratio

The mortgage delinquency rate for Federal Housing Administration (FHA) loans in the United States has declined since 2020, when it peaked at ***** percent. In the second quarter of 2025, ***** percent of FHA loans were delinquent. Historically, FHA mortgages have the highest delinquency rate of all mortgage types.

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Description:

Banks earn a major revenue from lending loans. But it is often associated with risk. The borrower's may default on the loan. To mitigate this issue, the banks have decided to use Machine Learning to overcome this issue. They have collected past data on the loan borrowers & would like you to develop a strong ML Model to classify if any new borrower is likely to default or not.

The dataset is enormous & consists of multiple deteministic factors like borrowe's income, gender, loan pupose etc. The dataset is subject to strong multicollinearity & empty values. Can you overcome these factors & build a strong classifier to predict defaulters?

Acknowledgements:

This dataset has been referred from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build classification model to predict weather the loan borrower will default or not.
• Also fine-tune the hyperparameters & compare the evaluation metrics of vaious classification algorithms.

Credit card delinquency reached its highest level since 2019 in the first quarter of 2024, whereas mortgage delinquency declined to its lowest level. This is according to consumer data supplied by large banks that have to report such figures when handling over 100 billion U.S. dollars worth of assets. **** percent of credit card balances were ** days late - the highest percentage since tracking began in 2012. First-lien mortgage origination remained historically low, likely due to high interest rates and housing prices. Note the graphic shown here is different from another source on credit card delinquency rates in the U.S., as those figures are aggregates.

Hong Kong HK: Residential Mortgage: Delinquency Ratio: > 6 Months data was reported at 0.010 % in Oct 2018. This stayed constant from the previous number of 0.010 % for Sep 2018. Hong Kong HK: Residential Mortgage: Delinquency Ratio: > 6 Months data is updated monthly, averaging 0.020 % from Dec 2000 (Median) to Oct 2018, with 215 observations. The data reached an all-time high of 0.940 % in May 2001 and a record low of 0.000 % in Nov 2012. Hong Kong HK: Residential Mortgage: Delinquency Ratio: > 6 Months data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong SAR – Table HK.KB008: Residential Property Loans: Residential Mortgage Survey: Ratios.

View quarterly updates and historical trends for US Home Equity Loans Delinquent by 90 Days. from United States. Source: Federal Reserve Bank of New York.…

This statistic presents the mortgage delinquency rates for subprime conventional loans in the United States from 2000 to 2016. The mortgage delinquency rate for subprime conventional loans in the United States amounted to 14.9 percent in 2016.

In 2023, the delinquency rates of all types of mortgage lenders in Canada increased. As of the fourth quarter of the year, approximately 1.05 percent of loans in the loan portfolios of mortgage investment entities (MIEs) were classified as delinquent, which was a decrease from the 0.78 percent delinquency rate a year ago. A loan is reported by lenders as being delinquent after 270 days of late payments.

View quarterly updates and historical trends for US Mortgage Transition Rate: 30-60 Days Delinquent to Over 90 Days Delinquent. from United States. Source…

The mortgage delinquency rate for Veterans Administration (VA) loans in the United States has decreased since 2020. Under the effects of the coronavirus pandemic, the mortgage delinquency rate for VA loans spiked from **** percent in the first quarter of 2020 to **** percent in the second quarter of the year. In the second quarter of 2024, the delinquency rate amounted to **** percent. Historically, VA mortgages have significantly lower delinquency rate than conventional mortgages.

The mortgage loan underlying asset information API consists of underlying asset repayment history inquiry, underlying asset delinquency rate inquiry, underlying asset detailed information inquiry, underlying asset securities repayment information inquiry, and underlying asset LTV and DTI inquiry operations. The underlying asset repayment history inquiry function provides loan balance, early repayment amount, interest repayment amount, etc. by base month and issuance year, the underlying asset delinquency rate inquiry function searches for the number of delinquent cases, amount, and delinquency rate of the underlying asset, and the underlying asset detailed information inquiry function can search for interest rates, maturity, collateral information, etc. of individual loans, the underlying asset securities repayment information inquiry function provides the repayment status of each issued MBS, and the underlying asset LTV and DTI inquiry function provides the borrower's loan-to-value (LTV) and debt-to-income (DTI) ratio.