30 Year Mortgage Rate in the United States decreased to 6.23 percent in November 26 from 6.26 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Context

The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.

Content

This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.

Acknowledgements

The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.

Inspiration

How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?

Fixed 30-year mortgage rates in the United States averaged 6.40 percent in the week ending November 21 of 2025. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

🏦 Synthetic Loan Approval Dataset

A Realistic, High-Quality Dataset for Credit Risk Modelling

🎯 Why This Dataset?

Most loan datasets on Kaggle have unrealistic patterns where:

1. ❌ Credit scores don't matter
2. ❌ Approval logic is backwards
3. ❌ Models learn nonsense patterns

Unlike most loan datasets available online, this one is built on real banking criteria from US and Canadian financial institutions. Drawing from 3 years of hands-on finance industry experience, the dataset incorporates realistic correlations and business logic that reflect how actual lending decisions are made. This makes it perfect for data scientists looking to build portfolio projects that showcase not just coding ability, but genuine understanding of credit risk modelling.

📊 Dataset Overview

🔑 Key Features

Identifier:

-Customer ID (unique identifier for each application)

Demographics:

-Age, Occupation Status, Years Employed

Financial Profile:

-Annual Income, Credit Score, Credit History Length -Savings/Assets, Current Debt

Credit Behaviour:

-Defaults on File, Delinquencies, Derogatory Marks

Loan Request:

-Product Type, Loan Intent, Loan Amount, Interest Rate

Calculated Ratios:

-Debt-to-Income, Loan-to-Income, Payment-to-Income

💡 What Makes This Dataset Special?

1️⃣ Real-World Approval Logic The dataset implements actual banking criteria: - DTI ratio > 50% = automatic rejection - Defaults on file = instant reject - Credit score bands match real lending thresholds - Employment verification for loans ≥$20K

2️⃣ Realistic Correlations - Higher income → Better credit scores - Older applicants → Longer credit history - Students → Lower income, special treatment for small loans - Loan intent affects approval (Education best, Debt Consolidation worst)

3️⃣ Product-Specific Rules - Credit Cards: More lenient, higher limits - Personal Loans: Standard criteria, up to $100K - Line of Credit: Capped at $50K, manual review for high amounts

4️⃣ Edge Cases Included - Young applicants (age 18) building first credit - Students with thin credit files - Self-employed with variable income - High debt-to-income ratios - Multiple delinquencies

🎓 Perfect For - Machine Learning Practice: Binary classification with real patterns - Credit Risk Modelling: Learn actual lending criteria - Portfolio Projects: Build impressive, explainable models - Feature Engineering: Rich dataset with meaningful relationships - Business Analytics: Understand financial decision-making

📈 Quick Stats

Approval Rates by Product - Credit Card: 60.4% more lenient) - Personal Loan: 46.9 (standard) - Line of Credit: 52.6% (moderate)

Loan Intent (Best → Worst Approval Odds) 1. Education (63% approved) 2. Personal (58% approved) 3. Medical/Home (52% approved) 4. Business (48% approved) 5. Debt Consolidation (40% approved)

Credit Score Distribution - Mean: 644 - Range: 300-850 - Realistic bell curve around 600-700

Income Distribution - Mean: $50,063 - Median: $41,608 - Range: $15K - $250K

🎯 Expected Model Performance

With proper feature engineering and tuning: - Accuracy: 75-85% - ROC-AUC: 0.80-0.90 - F1-Score: 0.75-0.85

Important: Feature importance should show: 1. Credit Score (most important) 2. Debt-to-Income Ratio 3. Delinquencies 4. Loan Amount 5. Income

If your model shows different patterns, something's wrong!

🏆 Use Cases & Projects

Beginner - Binary classification with XGBoost/Random Forest - EDA and visualization practice - Feature importance analysis

Intermediate - Custom threshold optimization (profit maximization) - Cost-sensitive learning (false positive vs false negative) - Ensemble methods and stacking

Advanced - Explainable AI (SHAP, LIME) - Fairness analysis across demographics - Production-ready API with FastAPI/Flask - Streamlit deployment with business rules

⚠️ Important Notes

This is SYNTHETIC Data - Generated based on real banking criteria - No real customer data was used - Safe for public sharing and portfolio use

Limitations - Simplified approval logic (real banks use 100+ factors) - No temporal component (no time series) - Single country/currency assumed (USD) - No external factors (economy, market conditions)

Educational Purpose This dataset is designed for: - Learning credit risk modeling - Portfolio projects - ML practice - Understanding lending criteria

NOT for: - Actual lending decisions - Financial advice - Production use without validation

🤝 Contributing

Found an issue? Have suggestions? - Open an issue on GitHub - Suggest i...

UK Mortgage Rates

Mortgage products in the united kingdom

By Jeff [source]

About this dataset

This dataset contains information on thousands of mortgage products available in the UK, including the interest rate, APR, revert rate, fees, and initial rate period. This data can be used to compare different mortgage products and find the best deal for your needs

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains information on thousands of mortgage products available in the UK, including the interest rate, APR, revert rate, fees, and initial rate period.

To use this dataset, simply download it and then import it into your favorite spreadsheet program. You can then use the data to compare mortgage rates across different products and banks.

This dataset can be used to help you: - Compare mortgage rates from different banks - Find the best mortgage product for your needs - Understand how fees and other charges affect the overall cost of a mortgage

Research Ideas

• Analysing the different mortgage products available on the market
• Benchmarking against other products in order to get a competitive rate
• Finding products that have low fees and revert rates

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: UK_Mortgage_Rate.csv | Column name | Description | |:----------------------------|:----------------------------------------------------------------| | SKU | The product's SKU. (String) | | BANK_NAME | The name of the bank that offers the mortgage product. (String) | | MTG_PRODUCT_SUBTITLE | The subtitle of the mortgage product. (String) | | MTG_PRODUCT_TYPE_RAW | The raw product type of the mortgage product. (String) | | MTG_PRODUCT_YEARS | The number of years of the mortgage product. (Integer) | | MTG_INITIAL_RATE_PCT | The initial rate percentage of the mortgage product. (Float) | | MTG_APR_PCT | The APR percentage of the mortgage product. (Float) | | MTG_REVERT_RATE | The revert rate of the mortgage product. (Float) | | MTG_FEES_TOTAL | The total fees of the mortgage product. (Float) | | MTG_INITIAL_RATE_MONTHS | The initial rate months of the mortgage product. (Integer) | | SCAN_DATE | The date that the mortgage product was scanned. (Date) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Jeff.

The benchmark interest rate in Sweden was last recorded at 1.75 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mortgage rates surged at an unprecedented pace in 2022, with the average 10-year fixed rate doubling between March and December of that year. In response to mounting inflation, the Bank of England implemented a series of rate hikes, pushing borrowing costs steadily higher. By October 2025, the average 10-year fixed mortgage rate stood at **** percent. As financing becomes more expensive, housing demand has cooled, weighing on market sentiment and slowing house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold fell significantly in 2023, dipping to just above *** million transactions. This contraction in activity also dampened mortgage lending. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans declined year-on-year for five consecutive quarters. Even as rates eased modestly in 2024 and housing activity picked up slightly, volumes remained well below the highs recorded in 2021. How are higher mortgages impacting homebuyers? For homeowners, the impact is being felt most acutely as fixed-rate deals expire. Mortgage terms in the UK typically range from two to ten years, and many borrowers who locked in historically low rates are now facing significantly higher repayments when refinancing. By the end of 2026, an estimated five million homeowners will see their mortgage deals expire. Roughly two million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026, putting additional pressure on household budgets and constraining affordability across the market.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

Small business lending from bank lenders remained positive in 2017, but a slower pace than the previous year. The research report by the Office of Advocacy examines FDIC data to find that small banks devoted larger shares of their assets to small business loans, while large banks issued a higher total volume of small business loans. The report covers all small business loans (commercial loans of $1 million or less) and is not specific to SBA-guaranteed loans. It contains detailed appendix tables with information on small business loans outstanding and loan originations for all reporting banks by state. These tables also provide state rankings of bank lenders by small business lending ratios.

Total-Long-Term-Debt Time Series for Flushing Financial Corporation. Flushing Financial Corporation operates as the bank holding company for Flushing Bank that provides banking products and services primarily to consumers, businesses, and governmental units. It offers various deposit products, including checking and savings accounts, money market accounts, non-interest bearing demand accounts, NOW accounts, and certificates of deposit. The company provides mortgage loans secured by multi-family residential, commercial real estate, one-to-four family mixed-use property, one-to-four family residential property, and commercial business loans; construction loans; small business administration loans and other small business loans; mortgage loan surrogates, such as mortgage-backed securities; and consumer loans, including overdraft lines of credit, as well as the United States government securities, corporate fixed-income securities, and other marketable securities. It operates full-service banking offices in Queens, Nassau, Suffolk, Kings, and New York counties, New York; and an internet branch under the iGObanking and BankPurely brands. The company was founded in 1929 and is based in Uniondale, New York.

Comprehensive proprietary research analyzing 312,367 assumable mortgage homes from 2023-2025 across all 50 states, including interest rates, savings analysis, state distribution, price ranges, and down payment requirements.

The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

• Agriculture, Hunting, Forestry and Fishing refers to loans granted for the purpose of financing customers in the cultivation of crops, livestock farming, timber extraction, forest management, poultry, farming, fishing and agricultural services. • Mining and Quarrying refers to loans granted to finance coal mining, crude petroleum and natural gas production, metal ore mining and quarrying. • Manufacturing refers to loans granted to finance customers in the manufacturing of a multitude of goods, including processing of food, rubber, palm oil, etc., manufacture of wearing apparel, leather goods, wood and wood products, paper and paper products, printing, publishing, manufacture of chemical and chemical products, petroleum, coal, rubber and plastic products, manufacture of iron and steel products, manufacture of fabricated metal products, machinery and equipment, etc. • Electricity, Gas and Water refers to loans granted to finance customers in generation, transmission and distribution of electrical energy for sale to households, industrial and commercial users, production of gas in gas works, distribution of manufactured gas and natural gas. • Wholesale and Retail Trade, Restaurants and Hotels refers to loans granted to finance customers in wholesale trade, retail trade and those operating restaurants and hotels. • Broad Property Sector Of which:  Construction refers to loans granted to finance customers in general contracting including civil engineering work, special contracting work, construction of industrial buildings and factories, construction of infrastructure, commercial complexes, residential dwellings and other construction activity.  Residential Property refers to loans granted for the purchase or refinancing the purchase of residential property which were classified as low cost (RM25, 000 and below), lower medium cost (RM25, 001 -RM60, 000), medium cost (RM60,001-RM100,000), higher medium cost (RM100,001 -RM150,000) and higher cost houses (more that RM150,000).  Non-Residential Property refers to loans granted for the purchase and refinancing of the purchase of non-residential property. Non-residential means landed property, which are not used for human dwelling purposes. It includes industrial buildings, factories, land, commercial complexes, warehouses and other structures not meant for human dwelling.  Real Estate refers to loans granted to companies involved in letting and operating real estate services on own account. Include renting of land to others, development and sale of land on own account, sub-dividing real property etc. Include real estate agents, brokers and managers engaged in renting, buying, selling and managing real estate for others for a fee and commission.  Transport, Storage and Communication refers to loans granted to finance customers in the provision of transport, storage and communication services to others. • Finance, Insurance and Business Services Of which:  Finance refers to loans granted to banking institutions and non-bank financial institutions.  Insurance refers to life insurance, reinsurance and general insurance services, insurance broking and loss assessing for insurance claims purposes.  Business Services refer to loans extended for provision of legal services, accounting services, auditing services, data collection etc. • Consumption Credit Of which:  Personal Uses refer to loans granted to individuals only for private use, exclude loans to purchase securities, consumer durables, transport vehicles, residential property, non-residential property and loans or credit obtained through the use of credit cards.  Purchase of Consumer Durables refers to loans granted for the acquisition of consumer durable goods such as televisions, refrigerators, washing machines etc.  Purchase of Passenger Cars refers to loans for the purchase of motor vehicles which are used primarily to carry a limited number of people, and includes multipurpose vehicles fitted to carry passengers.  Credit Cards refer to credit extended to customers using credit/charge cards issued by a reporting institution and includes cash withdrawals through such cards.  Purchase of Securities refers to loans granted to finance both primary and secondary market purchases of securities. Include loans granted to substitute for another loan granted previously by another party for the purchase of securities.  Purchase of Transport Vehicles refers to loans granted for the purposes of financing the purchases of motor vehicles other than passenger cars and other transport vehicles.  Community, Social and Personal Services refer to loans granted to finance customers for services such as public administration and defense, sanitary and similar services, social and related community services, recreation and cultural services and personal and household services.

The benchmark interest rate in Norway was last recorded at 4 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset underlying the Seniors First reverse mortgage comparison widget. Displays indicative rate types, features, and eligibility details for multiple Australian reverse-mortgage providers. Data is aggregated and refreshed periodically for consumer education.

Ebit-Interest-Coverage Time Series for Flushing Financial Corporation. Flushing Financial Corporation operates as the bank holding company for Flushing Bank that provides banking products and services primarily to consumers, businesses, and governmental units. It offers various deposit products, including checking and savings accounts, money market accounts, non-interest bearing demand accounts, NOW accounts, and certificates of deposit. The company provides mortgage loans secured by multi-family residential, commercial real estate, one-to-four family mixed-use property, one-to-four family residential property, and commercial business loans; construction loans; small business administration loans and other small business loans; mortgage loan surrogates, such as mortgage-backed securities; and consumer loans, including overdraft lines of credit, as well as the United States government securities, corporate fixed-income securities, and other marketable securities. It operates full-service banking offices in Queens, Nassau, Suffolk, Kings, and New York counties, New York; and an internet branch under the iGObanking and BankPurely brands. The company was founded in 1929 and is based in Uniondale, New York.

Short-Term-Debt Time Series for Western Alliance Bancorporation. Western Alliance Bancorporation operates as the bank holding company for Western Alliance Bank that provides various banking products and related services primarily in Arizona, California, and Nevada. It operates through Commercial and Consumer Related segments. The company offers deposit products, including checking, savings, and money market accounts, as well as fixed-rate and fixed maturity certificates of deposit accounts; demand deposits; and treasury management and residential mortgage products and services. It also provides commercial and industrial loan products, such as working capital lines of credit, loans to technology companies, inventory and accounts receivable lines, mortgage warehouse lines, equipment loans and leases, and other commercial loans; commercial real estate loans, which are secured by multi-family residential properties, professional offices, industrial facilities, retail centers, hotels, and other commercial properties; construction and land development loans for single family and multi-family residential projects, industrial/warehouse properties, office buildings, retail centers, medical office facilities, and residential lot developments; and consumer loans. In addition, the company offers other financial services, such as internet banking, wire transfers, electronic bill payment and presentment, funds transfer and other digital payment offerings, lock box services, courier, and cash management services. Further, the company holds certain investment securities, municipal and non-profit loans, and leases; invests primarily in low-income housing tax credits and small business investment corporations; and certain real estate loans and related securities. Western Alliance Bancorporation was founded in 1994 and is headquartered in Phoenix, Arizona.

Unternehmensfinanzierung. Nutzung von Krediten. Schwierigkeiten bei Kreditaufnahme. Vorgehen von Kreditinstituten in Bezug auf Finanzierungsmöglichkeiten. Finanzierungsberatung. Themen: Finanzielle Situation des Unternehmens; 3-Jahres Plan; wichtigste Maßnahmen zur Festigung des Unternehmens: qualifizierte Mitarbeiter, der Branche angepasstere soziale und steuerliche Bestimmungen, größere Produktionskapazität, einfacher Zugang zu Finanzierungsmitteln, strengere Regulierung der Konkurrenz aus Nicht-EU-Ländern, Beratung und Unterstützung für die Unternehmensentwicklung; Inanspruchnahme finanzieller Leistungen (Dispositionskredit, Leasing/Mieten, Diskont/Factoring, Kapitalerhöhung für Wagniskapitalfonds und für Privatpersonen, (Kurz-)Darlehen, öffentliche Fördermittel); Höhe des letzten Kreditantrags; Verwendungsabsicht für den Kredit; Schwierigkeiten einen Kredit unter 250.000 Euro zu bekommen im Vergleich zu anderen Finanzierungsformen; Gründe für Kreditaufnahme (niedrigere Zinssätze, einfacherer Bewilligungsvorgang, geringere Anforderung auf Kreditsicherheit, kürzere Bearbeitungszeit für Kreditbewilligung); Einschätzung der Unternehmensfinanzierung als ausreichend für Projektrealisierung; primäre Anlaufstellen für den Erhalt von Finanzmitteln; Erschließungsmöglichkeiten für Kapital um finanzielle Bedürfnisse des Unternehmens zu erfüllen; Wege für die Kapitalerschließung des Unternehmens; Einschätzung der Schwierigkeit heutzutage einen Kredit bei Banken zu bekommen im Vergleich zu früher; Gründe, warum es heutzutage schwieriger ist einen Kredit bei einer Bank zu bekommen; Einstellung zu: Kreditabhängigkeit bei Durchführung von Projekten, nicht auf die Belange des Unternehmens zugeschnittene Angebote der Banken; geringe Risikobereitschaft von Banken bei Kreditvergabe; Verständnis für die spezifischen Belange der eigenen Branche durch den zuständigen Bankangestellten; ausreichende Unterstützung bei der Finanzierung durch die Bank; Beurteilung des firmeninternen Finanzmanagements; primäre Anlaufstelle für Finanzierungsberatung. Demographie: Angaben zum Unternehmen: Anzahl der Mitarbeiter, Entwicklung der Anzahl der Beschäftigten seit 2004, Unternehmensgröße, Hauptgeschäftsfeld des Unternehmens, Gründungsjahr, Aktienanteil des Unternehmens; Jahresumsatz des Unternehmens im letzten Geschäftsjahr. Zusätzlich verkodet wurde: Land; Befragten-ID; Interviewsprache; Gewichtungsfaktor. Access to finance of small and medium enterprises. Topics: development of the following indicators in the last six months: turnover, profit, profit margin, level of debt, cash flow, investment, level of exports, research and development, market share; existence of a development plan for the next three years; most important element to ensure the company’s development: better qualified people on the market, social and fiscal regulations more suited to the sector of activity, greater production capacity, easy access to means of financing, stricter regulation regarding competition from outside the EU, advice and support service for the development of the company; use of selected types of financing in the past: overdraft, leasing or renting, discount or factoring, increase in capital dedicated to venture capital funds or to private individuals, loans shorter or longer than a 3-year term, public subsidies; approximate amount of last loan; recent request for a loan less than 25000 €; needs to be met by this loan; assessment of the difficulties to obtain a loan less than 25000 € compared to other forms of company’s financing; most important elements to resort a loan less than 25000 €: lower interest rates, simpler procedures for granting loans, less demanding on guarantee requirements, shorter delays for granting loans; assessment of the current financing of the company as sufficient; institutions contacted to obtain financing: banks, public institutions, private financing companies, leasing or renting companies, venture capital companies, private investors; expectations regarding the increase of the company’s capital within the next years; measures to increase the company’s capital: opening-up capital to private individual investors or to venture capital companies, management buy-out, going on the stock exchange, opening-up capital to the company’s employees; assessment of the access to bank loans as easy; assessment of the development of the impediments to access bank loans compared to a few years ago; reasons that impede obtaining a bank loan compared to a few years ago: interest rates are too high, banks request too much information, loan granting procedures are too long, administrative side of the loan application is very demanding; approval of the following statements: loan is needed to conclude projects, unsuitable offers from banks, risk-averseness of banks, banker understands specifics of the company’s sector, banker sufficiently supports the company in terms of its financing; assessment how the company’s needs regarding financial management are met internally; preferred sources of information on financing. Demography: information about the company: number of employees, development of the number of employees since 2004; company size; main activity of the company; year of company establishment; shareholding of the company; turnover of the company in the own country in the last fiscal year. Additionally coded was: country; respondent ID; language of the interview; weighting factor.

Net-Interest-Income Time Series for HarborOne Bancorp Inc. HarborOne Bancorp, Inc. provides financial services to individuals, families, small and mid-size businesses, and municipalities. The company operates in two segments, HarborOne Bank and HarborOne Mortgage. It offers deposit products that include checking, NOW, money market, savings, and sweep accounts, and term certificate of deposit accounts; and lending products comprise commercial real estate, commercial and Industrial, commercial construction, residential mortgages, home equity, and auto loans and personal lines of credit. The company also provides various educational services, such as free digital content, webinars, and recordings for small business and personal financial education under the HarborOne U name. The company operates through service branches and commercial lending offices in each of Boston, Massachusetts and Providence, and Rhode Island, as well as administrative office in Brockton and ATM locations in Massachusetts. HarborOne Bancorp, Inc. was founded in 1917 and is headquartered in Brockton, Massachusetts. As of October 28, 2025, HarborOne Bancorp, Inc. operates as a subsidiary of Eastern Bankshares, Inc.

Debt-To-Assets-Ratio Time Series for City Holding Company. City Holding Company operates as a financial holding company for City National Bank of West Virginia that provides banking, trust and investment management, and other financial solutions in the United States. The company offers checking, savings, and money market accounts, as well as certificates of deposit and individual retirement accounts. It also provides commercial and industrial loans that consist of loans to corporate and other legal entity borrowers primarily in small to mid-size industrial and commercial companies; commercial real estate loans comprising commercial mortgages, which are secured by nonresidential and multi-family residential properties; residential real estate loans to consumers for the purchase or refinance of residence; first-priority home equity loans; home equity lines of credit; amortized home equity loans; consumer loans that are secured and unsecured by automobiles, boats, recreational vehicles, certificates of deposit, and other personal property; and demand deposit account overdrafts, as well as owner-occupied real estate and construction, land development, and lines of credit. In addition, the company offers mortgage banking services, including fixed and adjustable-rate mortgages, construction financing, land loans, production of conventional and government-insured mortgages, secondary marketing, and mortgage servicing. Further, it provides treasury management, lockbox, and other cash management services; merchant credit card services; wealth management, trust, investment, and custodial services for commercial and individual customers; and corporate trust and institutional custody, financial and estate planning, and retirement plan services, as well as automated-teller-machine, interactive-teller-machine, mobile banking, interactive voice response systems, and credit and debit card services. The company was founded in 1957 and is headquartered in Charleston, West Virginia.