Households Debt in Canada increased to 171.90 percent of gross income in 2025 from 171.10 percent in 2025. This dataset provides - Canada Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Annual household disposable income, debt service ratio and other statistics, by province and territory.

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

Quarterly financial flows and stocks of household credit market debt, consumer credit, non-mortgage loans, and mortgage loans, on a seasonally adjusted basis.

Debt service ratios, interest and obligated principal payments on debt, and related statistics for households, Canada.

Households Debt in Canada decreased to 99.58 percent of GDP in the first quarter of 2025 from 100.39 percent of GDP in the fourth quarter of 2024. This dataset provides - Canada Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

. Statistics Canada provides Household Debt in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Loans are used due to the lack of Flow of Funds statistics. Household Debt prior to January 1990 is sourced from the Bank of Canada.


Further information about Canada Household Debt

• In the latest reports, Canada Household Debt accounted for 97.7 % of the country's Nominal GDP in Sep 2025
• Money Supply M2 in Canada increased 1,966.1 USD bn YoY in Sep 2025
• Canada Foreign Exchange Reserves was measured at 99.7 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 2.0 Months of Import in Aug 2025
• Canada Domestic Credit reached 4,851.8 USD bn in Sep 2025, representing an increased of 4.7 % YoY

Quarterly debt to gross domestic product, debt to disposable income and other indicators, for the household sector and the non-profit institutions serving households sector, by category.

Key information about Canada Household Debt: % of GDP

• Canada household debt accounted for 97.7 % of the country's Nominal GDP in Sep 2025, compared with the ratio of 97.6 % in the previous quarter.
• Canada household debt to GDP ratio is updated quarterly, available from Mar 1969 to Sep 2025.
• The data reached an all-time high of 111.2 % in Dec 2020 and a record low of 30.0 % in Mar 1969.

CEIC calculates quarterly Household Debt as % of Nominal GDP from monthly Household Debt and quarterly Nominal GDP. Statistics Canada provides Household Debt in local currency. Statistics Canada provides Nominal GDP in local currency. Loans are used due to the lack of Flow of Funds statistics. Household Debt prior to Q1 1990 is sourced from the Bank of Canada.


Related information about Canada Household Debt: % of GDP

• In the latest reports, Canada Household Debt reached 2,254.5 USD bn in Sep 2025.
• Money Supply M2 in Canada increased 5.2 % YoY in Sep 2025.
• Canada Foreign Exchange Reserves was measured at 99.7 USD bn in Oct 2025.
• The Foreign Exchange Reserves equaled 2.0 Months of Import in Aug 2025.
• Canada Domestic Credit reached 4,851.8 USD bn in Sep 2025, representing an increased of 4.7 % YoY.
• The country's Non Performing Loans Ratio stood at 0.7 % in Jun 2025, compared with the ratio of 0.7 % in the previous quarter.

🏦 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

Metric	Value
Total Records	50,000
Features	20 (customer_id + 18 predictors + 1 target)
Target Distribution	55% Approved, 45% Rejected
Missing Values	0 (Complete dataset)
Product Types	Credit Card, Personal Loan, Line of Credit
Market	United States & Canada
Use Case	Binary Classification (Approved/Rejected)

🔑 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...

Key information about Canada Government Debt: % of GDP

• Canada Government debt accounted for 69.4 % of the country's Nominal GDP in Mar 2024, compared with the ratio of 66.9 % in the previous year.
• Canada government debt to GDP ratio data is updated yearly, available from Mar 1962 to Mar 2024.
• The data reached an all-time high of 83.6 % in Mar 1996 and a record low of 33.1 % in Mar 1977.

CEIC calculates Government Debt as % of Nominal GDP from annual Government Debt and quarterly Nominal GDP. The Department of Finance Canada provides Government Debt in local currency. Statistics Canada provides Nominal GDP in local currency based on CSNA 2012/SNA 2008. Government Debt as % of Nominal GDP is in annual frequency, ending in March of each year.


Related information about Canada Government Debt: % of GDP

• In the latest reports, Canada National Government Debt reached 1,519.8 USD bn in Mar 2024.
• The country's Nominal GDP reached 520.3 USD bn in Mar 2023.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); After-tax income quintiles (6 items: Total, all after-tax income quintiles; Lowest after-tax income quintile; Second after-tax income quintile; Middle after-tax income quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

Assets and debts held by family units and by age groups, total amounts.

Canada recorded a Government Debt to GDP of 110.80 percent of the country's Gross Domestic Product in 2024. This dataset provides - Canada Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Quarterly household disposable income, debt service ratio and other statistics, Canada.

Of the G7 countries, Japan had the highest net debt in terms of share of gross domestic product (GDP) between 2010 and 2024. That year, Japan's government's net debt reached an estimated *** percent of its total GDP. Italy had the second highest debt rate at *** percent of its GDP, whereas Canada had the lowest at only ** percent.

Quarterly household disposable income, debt service ratio and other statistics, Canada.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); After-tax income quintiles (6 items: Total, all after-tax income quintiles; Lowest after-tax income quintile; Second after-tax income quintile; Middle after-tax income quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

This table contains 16 series, with data for years 1990 - 2012 (not all combinations necessarily have data for all years), and was last released on 2012-10-01. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...), Estimates (8 items: Debt service ratio (DSR); Disposable income; Non-mortgage interest paid; Mortgage interest paid ...).