Mortgage Approvals in the United Kingdom decreased to 60 Thousand in January from 61.01 Thousand in December of 2025. This dataset provides the latest reported value for - United Kingdom Mortgage Approvals - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The total monthly number of mortgage approvals for the purpose of a house sale in the UK plummeted in 2020 during the COVID-19 pandemic, followed by a spike in the second half of the year. In 2021, interest rates started to rise, resulting in a decline in the volume of mortgage approvals. In November 2025, mortgage approvals for home purchases totaled ******, while remortgage approvals stood at around ******. Being approved for a mortgage is one of the first steps in purchasing a home, which makes it an early indicator of the development of transaction volumes. However, a mortgage approval does not necessarily mean that a sale is going to take place, as home buyers need to undergo several other steps to complete the sale: conveyancing, or the process of transferring the legal title of the property from the seller to the buyer, a property survey, contract exchange, and closing.

Following the COVID-19 pandemic in 2020, the number of residential mortgage approvals in the UK plummeted. As the measures eased, the market rebounded, peaking at ******* mortgage approvals in November 2020. In 2022 and 2023, mortgage lending declined again as a response to the rising mortgage interest rates and the cooling of the housing market. In May 2025, the number of mortgage approvals exceeded *******—up from about ****** in the same month a year ago. The increase indicated a rise in mortgage demand and an improvement in consumer sentiment.

This dataset provides values for MORTGAGE APPROVALS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The number of monthly mortgage approvals for home purchase in the United Kingdom (UK) peaked at nearly 108,000 approvals in November 2020, after falling to record low levels at the beginning of the coronavirus pandemic in the second quarter of the year. The spike was due to the easing of the first lockdown and a rise in the demand for housing. In 2022, the housing market started to cool, resulting in a falling number of mortgage approvals. In September 2024, there were 65,647 mortgage approvals. Remortgaging approvals followed a similar trend.

Mortgage approval rates by year from 2018-2024 showing the percentage of applications approved by lenders across all loan types including conventional, FHA, VA, and USDA mortgages

1. Data Source

This dataset is a synthetic version inspired by the original Credit Risk dataset on Kaggle and enriched with additional variables based on Financial Risk for Loan Approval data. SMOTENC was used to simulate new data points to enlarge the instances. The dataset is structured for both categorical and continuous features.

2. Metadata

The dataset contains 45,000 records and 14 variables, each described below:

3. Data Usage

The dataset can be used for multiple purposes:

• Exploratory Data Analysis (EDA): Analyze key features, distribution patterns, and relationships to understand credit risk factors.
• Classification: Build predictive models to classify the loan_status variable (approved/not approved) for potential applicants.
• Regression: Develop regression models to predict the credit_score variable based on individual and loan-related attributes.

Mind the data issue from the original data, such as the instance > 100-year-old as age.

This dataset provides a rich basis for understanding financial risk factors and simulating predictive modeling processes for loan approval and credit scoring.

Feel free to leave comments on the discussion. I'd appreciate your upvote if you find my dataset useful! 😀

Mortgage approval rates by loan type for U.S. home buyers in 2024, showing approval percentages across different loan types including conventional, FHA, VA, and USDA mortgages

Mortgage Approvals in Spain increased to 40273 Units in January from 37841 Units in December of 2025. This dataset provides - Spain Mortgage Approvals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mortgage Applications in the United Kingdom increased to 46815 Units in December from 44058 Units in November of 2019. This dataset provides - United Kingdom Mortgage Applications- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Home Loan Approval Dataset Repository

  Overview

This repository contains structured data for analyzing and predicting home loan approvals based on various financial and creditworthiness metrics. The dataset is designed for use in financial analysis, machine learning, and risk assessment models.

  Repository Structure

data/

loan_applications.csv - Contains all applicant details and loan request information. income_verification.csv - Details multiple income… See the full description on the dataset page: https://huggingface.co/datasets/SivaMallikarjun/Home-Loan-Approval-Dataset.

Mortgage loan approvals for existing properties, new properties and new residential construction and existing residential properties.

The value of mortgage approvals in the UK started to increase in the final quarter of 2023, reaching 22.7 billion British pounds in September 2024. In recent years, the market has undergone significant fluctuations, including a dramatic decline in May 2020 because of the COVID-19 pandemic and two notable drops in 2023, attributable to the aggressive mortgage interest rate hikes and worsening economic conditions.

This dataset contains a wealth of information from 52,000 loan applications, offering detailed insights into the factors that influence loan approval decisions. Collected from financial institutions, this data is highly valuable for credit risk analysis, financial modeling, and predictive analytics. The dataset is particularly useful for anyone interested in applying machine learning techniques to real-world financial decision-making scenarios.

Overview: This dataset provides information about various applicants and the loans they applied for, including their demographic details, income, loan terms, and approval status. By analyzing this data, one can gain an understanding of which factors are most critical for determining the likelihood of loan approval. The dataset can also help in evaluating credit risk and building robust credit scoring systems.

Dataset Columns: Applicant_ID: Unique identifier for each loan application. Gender: Gender of the applicant (Male/Female). Age: Age of the applicant. Marital_Status: Marital status of the applicant (Single/Married). Dependents: Number of dependents the applicant has. Education: Education level of the applicant (Graduate/Not Graduate). Employment_Status: Employment status of the applicant (Employed, Self-Employed, Unemployed). Occupation_Type: Type of occupation, which provides insights into the nature of the applicant’s job (Salaried, Business, Others). Residential_Status: Type of residence (Owned, Rented, Mortgage). City/Town: The city or town where the applicant resides. Annual_Income: The total annual income of the applicant, a key factor in loan eligibility. Monthly_Expenses: The monthly expenses of the applicant, indicating their financial obligations. Credit_Score: The applicant's credit score, reflecting their creditworthiness. Existing_Loans: Number of existing loans the applicant is servicing. Total_Existing_Loan_Amount: The total amount of all existing loans the applicant has. Outstanding_Debt: The remaining amount of debt yet to be paid by the applicant. Loan_History: The applicant’s previous loan history (Good/Bad), indicating their repayment reliability. Loan_Amount_Requested: The loan amount the applicant has applied for. Loan_Term: The term of the loan in months. Loan_Purpose: The purpose of the loan (e.g., Home, Car, Education, Personal, Business). Interest_Rate: The interest rate applied to the loan. Loan_Type: The type of loan (Secured/Unsecured). Co-Applicant: Indicates if there is a co-applicant for the loan (Yes/No). Bank_Account_History: Applicant’s banking history, showing past transactions and reliability. Transaction_Frequency: The frequency of financial transactions in the applicant’s bank account (Low/Medium/High). Default_Risk: The risk level of the applicant defaulting on the loan (Low/Medium/High). Loan_Approval_Status: Final decision on the loan application (Approved/Rejected).

In the last three years, the highest number of mortgage approvals by building societies in the UK took place in March 2021 at over 46,000. In March 2020, the number of mortgage approvals amounted to approximately 36,000. The highest value of building societies residential mortgage loans during that period was also recorded in March 2021. Building societies, unlike banks are not listed on the stock market and thus, don't have external shareholders. Instead, the "owners" and decision makers in building societies are mortgage borrowers, savers and current account holders. Building societies offer many traditional banking products and financial services such as mortgage lending, savings and current accounts.

Mortgage Application in the United States decreased by 10.50 percent in the week ending March 20 of 2026 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mortgage approval rates by age for U.S. home buyers in 2024, showing approval percentages across different age groups from 18-24 to 65+ years old

Source: From lending institutions and local authorities
This data contains an unquantified element of refinancing of existing mortgages (e.g. involving the redemption of an existing mortgage and its replacement with a mortgage from a different lender).
The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

The value of approvals issued for house purchase lending in the UK plummeted at the beginning of the COVID-19 pandemic, reaching a record low of 1.9 billion British pounds in May 2020. In the second half of the year, the release of pent-up demand led to the value of approvals spiking at over 23 billion British pounds in November 2020. With mortgage rates increasing in response to stubborn inflation, the value of mortgage approvals saw a substantial decrease in 2022 and an uptick in 2023, with the latest data showing a value of 15.6 billion British pounds in May 2025. Remortgage approvals followed a similar trend.

This data contains an unquantified element of refinancing of existing mortgages (e.g. involving the redemption of an existing mortgage and its replacement with a mortgage from a different lender). The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. .hidden { display: none }