Long Term Care Insurance Calculator

This calculator estimates an approximate monthly premium based on your age, gender, marital status, monthly benefit amount, benefit duration, and whether you include 3% inflation protection. The numbers are directional — they are designed to help you understand how each variable affects cost so you can identify a comfortable premium range before requesting real carrier quotes. Two people can select the same monthly benefit and get very different estimates depending on age, gender, and benefit structure, which is exactly what this tool is built to show.

No. These are estimates only. Real quotes depend on underwriting class, health history, carrier pricing, benefit structure, and state-specific factors that this calculator cannot capture. The estimate gives you a useful starting point for understanding the cost range and how design choices affect premiums, but actual rates will vary — sometimes meaningfully — once underwriting and carrier-specific pricing are applied. Use the quote request form to compare real carrier options and see what your specific profile would actually look like across multiple plans.

Age is typically the single largest pricing driver in long-term care insurance. The younger you are when you apply, the lower your premiums tend to be for the same coverage — especially before the mid-60s. This is because insurers price based on the expected number of years premiums will be collected before a claim, and because younger applicants generally have better health profiles and more carrier options available to them. Waiting to apply does not just mean paying higher premiums later — it can also reduce eligibility if new health conditions arise in the meantime, which is why earlier planning almost always produces better outcomes.

Pricing differs by gender because claim likelihood and average claim duration differ between men and women. Women statistically have longer care events and higher lifetime claim costs, which is reflected in how carriers price coverage. This does not mean women should avoid coverage — it means the plan should be sized and structured intentionally so it remains affordable over time. For couples, coordinated plan designs can sometimes improve affordability for both spouses compared to purchasing two separate individual policies.

Inflation protection causes your benefits to grow over time, which helps reduce the risk of being underinsured when care is actually needed — often many years in the future. Adding 3% inflation increases the premium estimate because the potential future benefit is significantly larger than what you start with. Whether inflation protection is the right choice depends on how many years you expect before care is likely needed and how you are balancing affordability against future coverage adequacy. For younger applicants with a longer runway to a potential claim, inflation protection is often a higher priority. For applicants focused on near-term affordability, there are designs that structure inflation differently.

This calculator applies an estimated couples discount for married applicants to reflect how some carrier pricing models work when underwriting and plan designs are coordinated for two people. Many carriers offer discounted rates for married or partnered applicants, particularly when both individuals apply together. The exact discount varies by carrier and is one of the reasons that couples who apply together often see meaningfully better pricing than if each person applied separately. This is reflected in the estimate as a general directional difference — actual couples pricing will depend on the specific carrier and plan design.

No. Health history and current medications are not captured by this calculator, but they can materially change both pricing and eligibility with real carriers. Some health conditions result in a rated premium — meaning a higher price than the standard estimate — while others may lead to postponement or decline depending on the carrier and the specific condition. This tool is designed to provide directional guidance on how benefit design choices affect cost before underwriting is applied. Once you request real quotes, health history becomes part of the evaluation and the actual pricing will reflect your specific profile.

A common planning approach is to size the monthly benefit to cover a meaningful portion of expected care costs in your area rather than trying to insure every dollar. Many households choose a benefit that reduces worst-case financial exposure — for example, covering the most expensive phase of care or protecting the healthy spouse’s income — rather than attempting 100% coverage of every scenario. Duration works similarly: longer benefit periods increase the premium, but they provide more protection if care extends longer than expected. Balancing benefit amount and duration against what the household can comfortably sustain as a premium is usually the most practical starting point, and a full quote review can help map out the tradeoffs across different design combinations.

Yes. The age dropdown supports ages 50 through 79 with complete estimates across that range. This age range reflects the most common window when people evaluate long-term care coverage — early enough to qualify for better pricing and broader underwriting options, but close enough to retirement that the planning conversation is timely. If you are outside this range or have specific health considerations, the quote request form is the better starting point for a personalized review.

Use the quote request form on this page to compare real carrier options across traditional LTC, hybrid life and LTC designs, and annuity-based LTC strategies. At Diversified Insurance Brokers, we are independent and licensed in all 50 states, which means we compare options across multiple carriers rather than recommending a single company or plan type. Once you submit your information, we map out coverage designs that match your age, health profile, budget, and goals — so you can see real numbers and make a decision with full context rather than estimates alone.