As of March 2024, approximately 14.46 million accounts of the non-bank personal loan under the supervision of the Bank of Thailand took on loans that did not cover hire purchases and leasing of automobiles and motorcycles. In the same period, the total number of personal loan accounts with non-banks amounted to approximately 20.41 million.

Quarterly non-bank outstanding residential mortgages by insurance status, amortization period, total debt service ratio, loan-to-value and, days in arrears, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

Graph and download economic data for Other Loans and Leases: All Other Loans and Leases: Loans to Nondepository Financial Institutions, All Commercial Banks (LNFACBW027SBOG) from 2015-01-07 to 2025-03-12 about nondepository institutions, nondepository, leases, financial, loans, banks, depository institutions, and USA.

New Mortgage Lending Statistics. Published by Central Bank of Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).These data relate to new mortgage lending on residential property in Ireland on an annual basis. Data relates to those institutions [(banks and non-bank mortgage lenders)] who issue at least €50 million of new mortgage lending in a six-month period and are subsequently required to submit loan-level information to the Central Bank for the purposes of the macroprudential mortgage measures. The value and volume of new lending is provided, by borrower type, along with the distribution of lending by Loan-to-value and Loan-to-income ratio. Average characteristics are also provided. These data do not constitute official statistics. These data are published to support transparency and understanding of market developments....

Quarterly non-bank residential mortgages extended by type of increase and new funds advanced by term to maturity, by insurance status, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

In 2024, the value of non-bank loan sales in Poland amounted to a record-high value of nearly 22 billion zloty.

Shanxi: Loan: Domestic: Non Bank Financial Institution data was reported at 3.601 RMB bn in Jan 2025. This records a decrease from the previous number of 4.541 RMB bn for Dec 2024. Shanxi: Loan: Domestic: Non Bank Financial Institution data is updated monthly, averaging 1.200 RMB bn from Mar 2015 (Median) to Jan 2025, with 63 observations. The data reached an all-time high of 4.541 RMB bn in Dec 2024 and a record low of 0.001 RMB bn in Jun 2024. Shanxi: Loan: Domestic: Non Bank Financial Institution data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KI: Loan and Deposit: Shanxi.

As of October 2024, monetary financial institutions (MFI) granted most of the lending to individuals in the United Kingdom (UK). Meanwhile, other non-bank lenders gave approximately 275 million British pounds worth of loans just in March 2024. During the past years, non-bank lenders have been increasing their market share. Non-MFI lenders also had a growing market share of the new consumer lending market in the UK.

China Loan: New Increased: Year to Date: Non Bank Financial Institution data was reported at -200.800 RMB bn in Jan 2025. This records a decrease from the previous number of 285.500 RMB bn for Dec 2024. China Loan: New Increased: Year to Date: Non Bank Financial Institution data is updated monthly, averaging -8.100 RMB bn from Jan 2015 (Median) to Jan 2025, with 121 observations. The data reached an all-time high of 841.900 RMB bn in Jul 2015 and a record low of -538.000 RMB bn in Nov 2020. China Loan: New Increased: Year to Date: Non Bank Financial Institution data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KB: Loan.

The analysis considers the role of non-performing loans (NPLs) for bank lending rates on newly granted loans. It is based on euro area data. The focus is on an effect caused by the stock of NPLs that extends beyond losses that banks have already incorporated into their reported capital positions. The paper assesses the channels through which such an effect occurs most importantly whether it runs through banks' idiosyncratic funding costs. File 0 contains a description of the data used for the analysis. It does not contain actual data as most data used for the analysis is confidential. The file contains the names of the Stata-dta-Files in which the datasets are stored. These Stata-dta-Files are the starting point for the data processing which is activated by the code in the subsequent Stata-do-Files. Files 1-3 contain the code for processing SNL and Bankscope / Orbis data. This data includes the banking group level data for the analysis (most importantly NPL / regulatory capital data). File 1 contains the code for the processing of SNL data. File 2 contains the code for the of the Bankscope / Orbis data. File 3 contains the code for merging SNL and Bankscope / Orbis data. Files 4-6 contain the code for processing the CSDB data which includes data on the cost of bond funding on the banking group level, iBSI / iMIR data which includes data on lending rates and lending volumes on the single bank level and the macroeconomic data. File 4 contains the code for the processing of the CSDB data. Note that this data is initially on the single security level and is processed such, that information on costs of bond funding on the banking group level is retrieved. File 5 contains the code for the processing of the iBSI / iMIR data. File 6 contains the code for the processing of the macroeconomic variables. File 7 contains the code for merging all datasets. File 8 contains the code for producing the descriptive statistics in Section 3 of the paper. File 9 contains the code for the estimation of Equations 1 and 3 of the paper. File 10 contains the code for the estimation of Equations 1 and 3 with random samples (Appendix D of the paper). File 11 contains the code for estimations with loan growth as dependent variable (Section 5.2 of the paper). Files 12 and 13 contain code for the data processing and estimation of Equation 2 on the banking group level.

Graph and download economic data for Non-Bank Financial Institutions' Assets to GDP for Argentina (DDDI03ARA156NWDB) from 1960 to 2017 about nonbank, Argentina, finance companies, companies, finance, financial, assets, and GDP.

In January 2025, most consumer loans in the United Kingdom (UK) were granted by monetary financial institutions (MFI). Nevertheless, other lenders gave almost 12 billion British pounds worth of consumer credit. During the past years, non-bank lenders have been increasing their market share. Credit cards made up most of the new monthly consumer lending in the UK.

Alternative finance in the Netherlands, or loans granted to companies that did not come from banks, was mostly comprised of leasing contracts in 2021, which amonted to roughly 1.4 billion euros. Crowdfunding was the second largest source of non-bank financing, amounting to 621 million euros. The total value of direct lending, on the other hand, was significantly smaller. In direct lending, investors (not banks) loan money to companies directly. This means that several investors work together by investing money in a particular fund, which will then act as a moneylender for entrepreneurs.

Graph and download economic data for Non-Bank Financial Institutions' Assets to GDP for Japan (DDDI03JPA156NWDB) from 2001 to 2021 about nonbank, finance companies, companies, finance, Japan, financial, assets, and GDP.

Italy DI: CL: CA: FN: Loans from Non-Banks data was reported at 0.000 Index in Oct 2018. This stayed constant from the previous number of 0.000 Index for Jul 2018. Italy DI: CL: CA: FN: Loans from Non-Banks data is updated quarterly, averaging 0.000 Index from Jan 2003 (Median) to Oct 2018, with 64 observations. The data reached an all-time high of 0.063 Index in Jan 2012 and a record low of -0.083 Index in Apr 2007. Italy DI: CL: CA: FN: Loans from Non-Banks data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB015: Bank Lending Survey.

Graph and download economic data for Non-Bank Financial Institutions' Assets to GDP for Brazil (DDDI03BRA156NWDB) from 1988 to 2020 about nonbank, finance companies, Brazil, companies, finance, financial, assets, and GDP.

Russia Bank Lending Conditions: Households: Situation in Non Financial Sector data was reported at 0.000 % Point in Mar 2019. This records an increase from the previous number of -0.481 % Point for Dec 2018. Russia Bank Lending Conditions: Households: Situation in Non Financial Sector data is updated quarterly, averaging 0.000 % Point from Jun 2009 (Median) to Mar 2019, with 40 observations. The data reached an all-time high of 37.500 % Point in Jun 2009 and a record low of -18.367 % Point in Mar 2010. Russia Bank Lending Conditions: Households: Situation in Non Financial Sector data remains active status in CEIC and is reported by The Central Bank of the Russian Federation. The data is categorized under Russia Premium Database’s Monetary and Banking Statistics – Table RU.KAC018: Bank Lending Tightness: Loans to Households.

Italy DI: CL: CC: Competition from Non-Banks data was reported at 0.000 Index in Oct 2018. This stayed constant from the previous number of 0.000 Index for Jul 2018. Italy DI: CL: CC: Competition from Non-Banks data is updated quarterly, averaging 0.000 Index from Jan 2003 (Median) to Oct 2018, with 64 observations. The data reached an all-time high of 0.000 Index in Oct 2018 and a record low of -0.083 Index in Apr 2007. Italy DI: CL: CC: Competition from Non-Banks data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB015: Bank Lending Survey.

Graph and download economic data for Non-Bank Financial Institutions' Assets to GDP for Turkey (DDDI03TRA156NWDB) from 2008 to 2021 about nonbank, finance companies, Turkey, companies, finance, financial, assets, and GDP.

In 2023, there were 1.2 million non-bank loan holders in Poland, an increase compared to the previous years.