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

The benchmark interest rate in Canada was last recorded at 2.25 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Rates have been trending downward in Canada for the last five years. The ebbs and flows are caused by changes in Canada’s bond yields (driven by Canadians economic developments and international rate movements, particularly U.S. rate fluctuations) and the overnight rate (which is set by the Bank of Canada). As of August 2022, there has been a 225 bps increase in the prime rate, since beginning of year 2022, from 2.45% to 4.70% as of Aug 24th 2022. The following are the historical conventional mortgage rates offered by the 6 major chartered banks in Canada in the past 20 years.

In 2025, mortgage interest rates in Canada decreased. The five-year insured fixed mortgage interest rate as of May 2025 stood at **** percent, making it the most affordable mortgage type. Meanwhile, the insured mortgage rate fixed for under one year was the highest, at **** percent.

View monthly updates and historical trends for Canada 5-year Conventional Mortgage Lending Rate. Source: Canada Mortgage and Housing Corporation. Track ec…

Bank Lending Rate in Canada decreased to 4.45 percent in November from 4.70 percent in October of 2025. This dataset provides - Canada Prime Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Evaluate Canada’s best mortgage rates in one place. RATESDOTCA’s Rate Matrix lets you compare pricing for all key mortgage types and terms. Rates are based on an average mortgage of $300,000

View weekly updates and historical trends for Canada 1 Year Conventional Mortgage Rate. Source: Bank of Canada. Track economic data with YCharts analytics.

This dataset provides values for 30 YEAR MORTGAGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Mortgage interest rates worldwide varied greatly in June 2025, from less than ******percent in many European countries to as high as ***percent in Turkey. The average mortgage rate in a country depends on the central bank's base lending rate and macroeconomic indicators such as inflation and forecast economic growth. Since 2022, inflationary pressures have led to rapid increases in mortgage interest rates. Which are the leading mortgage markets? An easy way to estimate the importance of the mortgage sector in each country is by comparing household debt depth, or the ratio of the debt held by households compared to the county's GDP. In 2024, Switzerland, Australia, and Canada had some of the highest household debt to GDP ratios worldwide. While this indicator shows the size of the sector relative to the country’s economy, the value of mortgages outstanding allows to compare the market size in different countries. In Europe, for instance, the United Kingdom, Germany, and France were the largest mortgage markets by outstanding mortgage lending. Mortgage lending trends in the U.S. In the United States, new mortgage lending soared in 2021. This was largely due to the growth of new refinance loans that allow homeowners to renegotiate their mortgage terms and replace their existing loan with a more favorable one. Following the rise in interest rates, the mortgage market cooled, and refinance loans declined.

Canada Conventional Mortgage: 1 Year: Weekly data was reported at 5.840 % pa in 26 Nov 2025. This stayed constant from the previous number of 5.840 % pa for 19 Nov 2025. Canada Conventional Mortgage: 1 Year: Weekly data is updated weekly, averaging 3.100 % pa from Jan 2000 (Median) to 26 Nov 2025, with 1352 observations. The data reached an all-time high of 8.300 % pa in 31 May 2000 and a record low of 2.790 % pa in 16 Mar 2022. Canada Conventional Mortgage: 1 Year: Weekly data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M: Conventional Mortgage Rate.

This table contains 38 series, with data starting from 1957 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Rates (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).

Canada: Real interest rate: Bank lending rate minus inflation: The latest value from 2017 is 0.13 percent, a decline from 1.97 percent in 2016. In comparison, the world average is 5.12 percent, based on data from 122 countries. Historically, the average for Canada from 1961 to 2017 is 3.26 percent. The minimum value, -4.17 percent, was reached in 1974 while the maximum of 10.36 percent was recorded in 1990.

Key information about Canada Long Term Interest Rate

• Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 3.12 % pa in Oct 2025, compared with 3.17 % pa in the previous month.
• Canada Long Term Interest Rate data is updated monthly, available from Jan 1993 to Oct 2025.
• The data reached an all-time high of 9.28 % pa in Jun 1994 and a record low of 0.46 % pa in Jul 2020.
• Long Term Interest Rate is reported by reported by Bank of Canada.

• In the latest reports, Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.21 % pa in Oct 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 2.25 % pa in Oct 2025.
• Canada Exchange Rate against USD averaged 1.40 (USD/CAD) in Oct 2025.

Prices for Canada 5Y including live quotes, historical charts and news. Canada 5Y was last updated by Trading Economics this December 2 of 2025.

The share of mortgages in arrears in Canada reached an all-time low in 2022, followed by an increase until 2025. As of **********, the rate of mortgage arrears was **** percent, up from **** percent in September 2022.

View weekly updates and historical trends for Canada Prime Rate. Source: Bank of Canada. Track economic data with YCharts analytics.

Canada's inflation rate experienced significant fluctuations from 2018 to 2025. Inflation peaked at *** percent in June 2022 before steadily declining to *** percent by December 2024. In early 2025, inflation began to increase again, rising to *** percent in February and dropping to *** percent in March. In April 2025, inflation decreased to *** percent. In response to rising inflation between 2020 and 2022, the Bank of Canada implemented aggressive interest rate hikes. The bank rate reached a maximum of **** percent in July 2023 and remained stable until June 2024. As inflationary pressures eased in the second half of 2024, the central bank reduced interest rates to *** percent in December 2024. In 2025, the bank rate witnessed further cuts, standing at * percent in March 2025 and **** percent in September 2025. This pattern reflected broader global economic trends, with most advanced and emerging economies experiencing similar inflationary challenges and monetary policy adjustments. Global context of inflation and interest rates The Canadian experience aligns with the broader international trend of central banks raising policy rates to combat inflation. Between 2021 and 2023, nearly all advanced and emerging economies increased their central bank rates. However, a shift occurred in the latter half of 2024, with many countries, including Canada, beginning to lower rates. This change suggests a new phase in the global economic cycle and monetary policy approach. Notably, among surveyed countries, Russia maintained the highest interest rate in early 2025, while Japan had the lowest rate. Comparison with the United States The United States experienced a similar trajectory in inflation and interest rates. U.S. inflation peaked at *** percent in June 2022, slightly higher than Canada's peak. The Federal Reserve responded with a series of rate hikes, reaching **** percent in August 2023. This rate remained unchanged until September 2024, when the first cut since September 2021 was implemented. In contrast, Canada's bank rate peaked at **** percent and began decreasing earlier, with cuts in June and July 2024. These differences highlight the nuanced approaches of central banks in managing their respective economies amid global inflationary pressures.

🏦 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...

This table contains data described by the following dimensions (Not all combinations are available): Geography (247 items: Carbonear; Newfoundland and Labrador; Corner Brook; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; Gander; Newfoundland and Labrador ...), Type of structure (4 items: Apartment structures of three units and over; Apartment structures of six units and over; Row and apartment structures of three units and over; Row structures of three units and over ...), Type of unit (4 items: Two bedroom units; Three bedroom units; One bedroom units; Bachelor units ...).