The Total Debt Service (TDS) ratio is a debt-to-income measure lenders use to see what percentage of a borrower’s gross income is already committed to monthly debt payments. It includes housing-related payments plus all required non-housing debt obligations. Lenders use TDS (along with credit history, credit score and other factors) to decide whether a borrower can responsibly take on a new loan such as a mortgage.
Key takeaways
– TDS = (all monthly debt payments ÷ gross monthly income) × 100.
– Housing payments plus non-housing obligations are included.
– Many lenders prefer a TDS around 36% or less; most won’t approve mortgages above about 43% (benchmarks vary by lender and jurisdiction).
– TDS differs from GDS (Gross Debt Service), which includes only housing-related payments.
– Lower TDS improves your chances of mortgage approval and may allow access to better rates.
How TDS works (what’s counted and why it matters)
– Housing components commonly included: mortgage principal & interest, property taxes, homeowners or condo insurance, condo/HOA fees, often utilities. (Exact inclusions depend on the lender.)
– Non-housing obligations: minimum monthly payments on credit cards, car loans, student loans, personal loans, child support or alimony, and other required debt payments.
– Lenders compare your TDS to internal thresholds to evaluate default risk. A higher TDS suggests less disposable income to absorb shocks (job loss, rate increases), making approval less likely or leading to higher borrowing costs.
Practical example
Assume: gross monthly income = $11,000
Monthly obligations:
– Mortgage payment (principal & interest, taxes, insurance, fees): $2,225
– Student loan payment: $1,000
– Motorcycle loan: $350
– Credit card minimums: $650
Total monthly debt payments = $2,225 + $1,000 + $350 + $650 = $4,225
TDS = (4,225 ÷ 11,000) × 100 = 38.4%
Interpretation: 38.4% is above the commonly preferred 36% target but below a frequently cited maximum of 43%, so many lenders would consider the borrower eligible, assuming other underwriting criteria are satisfactory.
TDS vs. GDS (Gross Debt Service)
– GDS (also called the housing expense ratio) = (housing payments ÷ gross income) × 100. It excludes non-housing debts.
– Use GDS when you want to evaluate how much of your income is devoted strictly to housing costs; typical guideline: GDS of ~28% or less is often recommended.
– Lenders typically look at both: GDS to ensure housing costs aren’t excessive, and TDS to ensure total obligations are manageable.
How to calculate TDS — step-by-step
1. List all required monthly housing payments you must make: mortgage principal & interest, property taxes, homeowners insurance, condo/HOA fees, and any other housing-related charges your lender counts.
2. List all required monthly non-housing debt payments: minimum credit card payments, auto loans, student loans, personal loans, child support/alimony, etc. (Use the required payment amounts the lender will use—some lenders use minimum payments, others use a percentage of balances.)
3. Sum all those monthly payments to get “Total monthly debt payments.”
4. Identify gross monthly income (pre-tax income). For employed borrowers this is salary plus predictable additional income (overtime/bonus/rental income) only if the lender will accept it and has documentation. For self‑employed borrowers, lenders typically use documented net income converted to a monthly gross equivalent per their rules.
5. Apply the formula: TDS (%) = (Total monthly debt payments ÷ Gross monthly income) × 100.
Excel formula
– If B2 is Total Debt Payments and B3 is Gross Monthly Income: =B2/B3 and format the cell as Percentage.
– Or using cells for individual debts (B2:B6) and income in B7: =SUM(B2:B6)/B7 and format as Percentage. To show a percentage explicitly: =SUM(B2:B6)/B7*100 (numeric value).
How low should my TDS be for a mortgage?
– Targets vary by lender and loan program, but common guidance: aim for a TDS around 36% or lower.
– Many lenders set a maximum around 43% for conventional mortgage approval. Some lenders or programs may permit higher TDS if the borrower has strong compensating factors (high credit score, large down payment, significant savings, strong employment history). Smaller lenders or portfolio lenders may apply different thresholds. Always confirm the lender’s specific limits.
Special considerations and common variations
– Jurisdiction and lender differences: Benchmarks differ between countries and among lenders. Always check the lender’s underwriting rules.
– Self‑employed and variable income: lenders will typically average income over 1–2 years based on tax returns and may exclude certain irregular items.
– Student loans: lenders may use the actual monthly payment, a calculated payment based on balance, or a statutory minimum—this varies by lender. Income-driven repayment amounts can lower the TDS used by some lenders if documented.
– Deferred or interest-only loans: lenders may count the contractual payment (even if low or deferred) or a calculated repayment amount—ask the lender which they use.
– Co-borrowers and household income: adding a co-borrower’s income can lower TDS, but the lender will include the co-borrower’s debts as well.
– New credit inquiries: opening new accounts increases monthly obligations and may raise your TDS; avoid new credit while applying.
Practical steps to improve your TDS before applying for credit
1. Reduce or eliminate high-interest balances: pay down credit cards and personal loans to reduce monthly minimums.
2. Refinance existing debts at lower rates: consolidate high-interest debt into a lower-rate loan to lower monthly payments.
3. Increase your down payment: smaller mortgage principal lowers monthly housing payments and reduces TDS.
4. Extend loan terms where appropriate: lengthening a car loan can reduce the monthly payment (weigh interest cost vs immediate benefit).
5. Temporarily suspend discretionary loan payments or restructure: negotiate lower payments or hardship plans with lenders (but be careful—deferred interest may affect approvals).
6. Boost documented income: pick up additional consistent, documentable income (overtime, part-time work, rental income) that lenders will accept.
7. Improve credit score and history: better credit often allows access to lower rates and more favorable underwriting.
8. Shop lenders and programs: some lenders have more flexible guidelines or allow compensating factors (savings, long job tenure) to offset higher TDS.
9. Remove non-recurring debts: if a listed debt is paid off or a one-time obligation, get statements proving it’s resolved so it can be excluded.
Checklist for mortgage applicants (practical steps)
– Calculate your current TDS and GDS using your best documented gross income.
– Gather pay stubs, tax returns, and documentation for any additional income (bonuses, rental, investment).
– Obtain recent statements for all debts to show actual monthly payments.
– Pay down or refinance credit card balances and short-term loans if possible.
– Avoid opening new credit or making large purchases before closing.
– Get pre‑approved rather than pre‑qualified to identify potential TDS issues early.
– If your TDS is high, discuss compensating factors with lenders (savings, big down payment, co-borrower).
When a lender’s TDS limit blocks approval
– Ask which payments they included and whether any can be excluded or re-calculated (for example, a paid-off loan, or a student loan in an income-driven plan).
– Consider adding a qualified co-borrower or increasing your down payment.
– Look for alternative lenders or specialized programs that accept higher TDS with compensating factors.
– Improve your financial profile and reapply later.
Sources and further reading
– Investopedia, “Total Debt Service (TDS) Ratio” (source material used for this article).
– Chase, “What Do Lenders Consider a Good Debt‑To‑Income Ratio?” (practical guidance cited for common thresholds).
(Always confirm a lender’s specific underwriting rules; policies and exact thresholds vary by lender, loan program, and jurisdiction.)
Editor’s note: The following topics are reserved for upcoming updates and will be expanded with detailed examples and datasets.