https://doi.org/10.4121/resource:terms_of_usehttps://doi.org/10.4121/resource:terms_of_use
Loan application example, configuration 4 Parent item: Loan application example A collection of artificial event logs describing 4 variants of a simple loan application process. Variant 1 is the most complex process with parallelism and choices. The other 3 variants have a simpler, more sequential, control flow and some activities of variant 1 are missing or split into 2. These event logs are used to test different approaches of discovering a configurable process model from a collection of event logs.
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United States WAS: Number of Applications: FRM: 1-Wk Change data was reported at -0.237 % in 20 Jul 2018. This records a decrease from the previous number of 22.322 % for 13 Jul 2018. United States WAS: Number of Applications: FRM: 1-Wk Change data is updated weekly, averaging -0.600 % from Jan 1990 (Median) to 20 Jul 2018, with 1489 observations. The data reached an all-time high of 163.100 % in 09 Jan 1998 and a record low of -52.500 % in 27 Dec 2013. United States WAS: Number of Applications: FRM: 1-Wk Change data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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United States WAS: Mortgage Loan Applications Index: FHA: sa data was reported at 89.200 25Jul2014=100 in 20 Jul 2018. This records a decrease from the previous number of 95.600 25Jul2014=100 for 13 Jul 2018. United States WAS: Mortgage Loan Applications Index: FHA: sa data is updated weekly, averaging 112.000 25Jul2014=100 from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 183.000 25Jul2014=100 in 30 Jan 2015 and a record low of 73.800 25Jul2014=100 in 26 Dec 2014. United States WAS: Mortgage Loan Applications Index: FHA: sa data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
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MBA Mortgage Market Index in the United States decreased to 247.50 points in March 21 from 252.50 points in the previous week. This dataset includes a chart with historical data for the United States MBA Mortgage Market Index.
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Average Mortgage Size in the United States decreased to 397.52 Thousand USD in February 28 from 403.42 Thousand USD in the previous week. This dataset includes a chart with historical data for the United States Average Mortgage Size.
The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2012 contains information collected in calendar year 2011. The HMDA, enacted by Congress in 1975, requires most mortgage lenders located in metropolitan areas to report data about their housing-related lending activity. The HMDA data were collected from 7,632 lending institutions and cover approximately 14.7 million home purchase and home improvement loans and refinancings, including loan originations, loan purchases, and applications that were denied, incomplete, or withdrawn. The Private Mortgage Insurance Companies (PMIC) data refer to applications for mortgage insurance to insure home purchase mortgages and to insure mortgages to refinance existing obligations. Part 1, HMDA Transmittal Sheet (TS), and Part 4, PMIC Transmittal Sheet (TS), include information submitted by reporting institutions with the Loan Application Register (LAR), such as the reporting institution's name, address, and Tax ID. Part 2, HMDA Reporter Panel, and Part 5, PMIC Reporter Panel, contain information on all institutions that reported data for activity year 2011. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 796 contain HMDA and PMIC Loan Application Register (LAR) files at the national level, at the agency level, and by MSA/MD. With some exceptions, for each transaction the institution reported data about the loan (or application), such as the type and amount of the loan made (or applied for) and, in limited circumstances, its price, the disposition of the application, such as whether it was denied or resulted in an origination of a loan, the property to which the loan relates, such as its type (single-family versus multi-family), and location (including the census tract), the sale of the loan, if it was sold, and the applicant's and co-applicant's ethnicity, race, sex, and income.
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This dataset is a modified version of the Kaggle Lending Club dataset found at https://www.kaggle.com/datasets/wordsforthewise/lending-club, including a model trained on the training set.
The data contains 2007 through 2018 Lending Club accepted and rejected loan data.
The dataset is licenced under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication https://creativecommons.org/publicdomain/zero/1.0/
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United States WAS: Mortgage Loan Applications Index: USDA: sa data was reported at 66.700 25Jul2014=100 in 20 Jul 2018. This records an increase from the previous number of 59.100 25Jul2014=100 for 13 Jul 2018. United States WAS: Mortgage Loan Applications Index: USDA: sa data is updated weekly, averaging 75.900 25Jul2014=100 from Jan 2014 (Median) to 20 Jul 2018, with 236 observations. The data reached an all-time high of 103.600 25Jul2014=100 in 04 Jul 2014 and a record low of 47.000 25Jul2014=100 in 17 Jan 2014. United States WAS: Mortgage Loan Applications Index: USDA: sa data remains active status in CEIC and is reported by Mortgage Bankers Association. The data is categorized under Global Database’s USA – Table US.KA016: Weekly Applications Survey: Mortgage Loan Applications.
https://www.icpsr.umich.edu/web/ICPSR/studies/36171/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36171/terms
The Home Mortgage Disclosure Act (HMDA): Loan Application Register (LAR) and Transmittal Sheet (TS) Raw Data, 2011 contains information collected in calendar year 2010. The HMDA, enacted by Congress in 1975, requires most mortgage lenders located in metropolitan areas to report data about their housing-related lending activity. The HMDA data were collected from 7,923 lending institutions and cover approximately 16.3 million home purchase and home improvement loans and refinancings, including loan originations, loan purchases, and applications that were denied, incomplete, or withdrawn. The Private Mortgage Insurance Companies (PMIC) data refer to applications for mortgage insurance to insure home purchase mortgages and to insure mortgages to refinance existing obligations. Part 1, HMDA Transmittal Sheet (TS), and Part 4, PMIC Transmittal Sheet (TS), include information submitted by reporting institutions with the Loan Application Register (LAR), such as the reporting institution's name, address, and Tax ID. Part 2, HMDA Reporter Panel, and Part 5, PMIC Reporter Panel, contain information on all institutions that reported data for activity year 2010. Part 3, HMDA MSA Offices, and Part 6, PMIC MSA Offices, contain information on all metropolitan statistical areas in the data. Parts 7 through 799 contain HMDA and PMIC Loan Application Register (LAR) files at the national level, at the agency level, and by MSA/MD. With some exceptions, for each transaction the institution reported data about the loan (or application), such as the type and amount of the loan made (or applied for) and, in limited circumstances, its price, the disposition of the application, such as whether it was denied or resulted in an origination of a loan, the property to which the loan relates, such as its type (single-family versus multi-family), and location (including the census tract), the sale of the loan, if it was sold, and the applicant's and co-applicant's ethnicity, race, sex, and income.
Black people applying for credit in the United States in 2023 had higher denial rates than any other group. That year, 65 percent of black respondents with a family income of less than 50,000 U.S. dollars had their loan applications denied or approved for less money than requested. Those rates were significantly higher than for White applicants. Applicants in the lowest income group got denied more than applicants in the highest income group, regardless of their race.
This statistic illustrates the outcome of loan applications for small and medium enterprises (SMEs) in the United Kingdom (UK) as of 2019. It can be seen that 24 percent of SMEs in the UK stated that their loan applications were completely unsuccessful at that time. Although this was the case, a total of 62 percent of SMEs stated that their loan applications were completely successful in 2019.
Loans in Fiscal Years 2016-2024 made from the Beginning and Expanding Farmer Loan Program under ORS 285A.430. For more information visit https://www.oregon.gov/biz/programs/AggieBond/Pages/default.aspx
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This dataset provides values for MORTGAGE APPLICATIONS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Graph and download economic data for Loans and Leases in Bank Credit, All Commercial Banks (LOANS) from Jan 1947 to Feb 2025 about leases, credits, commercial, loans, banks, depository institutions, and USA.
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This dataset includes all itemized guarantors of loans ($100 or more) e-filed on Fair Political Practices Commission (FPPC) Form 460 Schedule "B2" Loan Guarantors from 2011 to the present.
The data is current as of the last modified date on this dataset.
See the data key for column definitions: https://data.sfgov.org/Ethics/Campaign-Finance-Data-Key/wygs-cc76
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Complete set of loan-level data on the recipients of Paycheck Protection Program loans
"The U.S. Department of Agriculture's (USDA) Farm Service Agency (FSA) provides emergency loans to help farmers and ranchers who own or operate a farm/ranch located in a county declared by the President or designated by the Secretary of Agriculture as a primary disaster area or quarantine area. Emergency loan funds may be used to: Restore or replace essential property Pay all or part of production costs associated with the disaster year Pay essential family living expenses Reorganize the farming operation Refinance certain debts, excluding real estate Loan applicants may borrow up to 100 percent of their total actual production and/or physical losses. The maximum loan amount is $500,000. Loans for crops, livestock, and non-real estate losses have a repayment term usually between 1 to 7 years depending upon the loan purpose, collateral, and repayment ability. Loans for physical losses to real estate normally have a 30-year repayment term, not to exceed 40 years."
USAID's Development Credit Authority (DCA) works with investors, local financial institutions, and development organizations to design and deliver investment alternatives that unlock financing for U.S. Government priorities. USAID guarantees encourage private lenders to extend financing to underserved borrowers in new sectors and regions. This dataset is the complete list of all private loans made under USAID's DCA since it was established in 1999. To protect the personal information of borrowers and bank partners, all strategic and personal identifiable information was removed.
In financial year 2023, banks in India advanced over 2.5 trillion Indian rupees in housing loans crossing pre-COVID levels. This reflected renewed homebuyer sentiment, as an increasing number of Indians were investing in buying residential property.
Growth of home loans market
Forty years ago, home loans were an alien concept. People would direct their provident fund savings and retirement benefits toward buying a home. However, three key institutions: HDFC, ICICI Ltd, and the State bank of India with their new lending concepts led to significant changes in the home loan market. Currently different commercial banks, NBFCs, and housing finance companies have flooded the mortgage market, and giving prospective home buyers from diverse strata of society with bargaining power and a chance at affording a home.
Inflation and home loans
India is not untouched by global inflation. To address the problem, the Reserve Bank of India hiked the repo rate four times since April 2022 to 5.9 percent. Consequently, leading banks and housing finance companies raised their lending rates. For a prospective homebuyer, this meant a rise in tenure for home loans. In other words, equivalent monthly payments (EMIs)for homebuyers have lengthened and become more expensive. In financial year 2022, banks in India advanced around two trillion Indian rupees in housing loans almost reaching pre-COVID levels.
The Home Mortgage Disclosure Act (HMDA), enacted by Congress in 1975, is implemented by the Federal Reserve Board's Regulation C (12 CFR Part 203). HMDA was made permanent in February 1988, and was expanded in August 1989 to require additional data to be reported about applications received and about applicant and borrower characteristics. HMDA makes available to the public information that helps to show whether financial institutions are serving the housing credit needs of their neighborhoods and communities. It also helps government officials make public sector investments and indicates to private investors the neighborhoods where their efforts are needed. In addition, HMDA data help identify possible discriminatory lending patterns and assist regulatory agencies in enforcing compliance with anti-discrimination statutes.
https://doi.org/10.4121/resource:terms_of_usehttps://doi.org/10.4121/resource:terms_of_use
Loan application example, configuration 4 Parent item: Loan application example A collection of artificial event logs describing 4 variants of a simple loan application process. Variant 1 is the most complex process with parallelism and choices. The other 3 variants have a simpler, more sequential, control flow and some activities of variant 1 are missing or split into 2. These event logs are used to test different approaches of discovering a configurable process model from a collection of event logs.