US Income Percentile Calculator

Archived historical, non-current snapshot — dated July 9, 2026 (2026-07-09). The median, mean, and smoothed-distribution benchmarks described below may not reflect current Census income data. Check authoritative sources for the applicable period before relying on this estimate.

The US Income Percentile Calculator estimates where an annual gross income ranks in a smoothed national income distribution. It can compare either individual income or household income. The result is an estimated percentile, the share of the selected group below and above the entered income, the median benchmark, the gap from the median, the gap from the mean, and an approximate top 1% threshold.

This calculator is different from a tax calculator. It does not estimate what you owe, what you keep after withholding, or whether you qualify for a program. It answers a narrower ranking question: given the benchmark values hard-coded in the calculator, where would this income fall on a smooth distribution? For spending and savings decisions, pair the percentile with the budget calculator, net income calculator, and annual salary calculator. Those tools answer cash-flow questions that an income rank cannot answer.

How to use this calculator

Select individual income if the amount belongs to one person. Select household income if the amount is the combined annual income of people sharing a household. Enter annual income before taxes and deductions. If you have monthly income, multiply by 12 before entering it. If you have hourly income, estimate annual income from hours and weeks first, or use a salary calculator to convert it.

The calculator then chooses the benchmark set. For individual income, the code uses a median of $44,225, a mean of $63,214, and an approximate top 1% threshold of $357,552. For household income, it uses a median of $67,463, a mean of $96,955, and an approximate top 1% threshold of $591,550. These are fixed values in the calculator code. They are not fetched from a live Census table, and they do not adjust for state, metro area, age, education, household size, or inflation after publication.

What the calculator calculates

The calculator fits a lognormal distribution from the selected median and mean. A lognormal model is often used for positive, right-skewed quantities because it can represent many moderate values and a long upper tail. The code sets the distribution’s location parameter to the natural log of the median. It then calculates a spread parameter from the ratio of mean to median. After that, it takes the natural log of the entered income, converts it to a z-score, and passes that z-score through a normal cumulative distribution function.

The calculator uses its own approximation for the error function, which is then used to approximate the normal cumulative distribution. Finally, it clamps the percentile between 0.1% and 99.9%. That clamp means an extremely low income still displays at least 0.1%, and an extremely high income displays no more than 99.9%. The “people below” line is the same number as the percentile. The “people above” line is 100 minus the percentile.

Formula

For the selected benchmark group, the location parameter is:

$\mu = \ln(\text{median income})$

The spread parameter is:

$\sigma = \sqrt{2 \times \ln\left(\frac{\text{mean income}}{\text{median income}}\right)}$

The z-score is:

$z = \frac{\ln(\text{income}) - \mu}{\sigma}$

The percentile is:

$\text{percentile} = \Phi(z) \times 100$

The result is then clamped between 0.1 and 99.9.

Checking the primary result

Use the default individual-income setting and an annual income of $50,000. The selected benchmark median is $44,225 and the mean is $63,214. The code calculates sigma from the mean-to-median ratio, giving about 0.8453. It then calculates the z-score from the natural log of $50,000 relative to the natural log of $44,225, giving about 0.1452.

Passing that z-score through the normal cumulative distribution gives 55.7724%. The calculator displays the result as about 55.8% because it formats the primary percentile with one decimal place. “People below this income” is also 55.8%, and “people above this income” is 44.2%. The gap from the median is $50,000 minus $44,225, or $5,775 above median. The gap from the mean is $50,000 minus $63,214, or $13,214 below mean. The approximate top 1% threshold shown for the individual setting is $357,552.

For a household example, enter household income of $100,000. The household median in the code is $67,463 and the household mean is $96,955. The model estimates a percentile of about 67.8%, with about 32.2% above. The income is $32,537 above the household median and $3,045 above the household mean. The approximate top 1% threshold shown for the household setting is $591,550.

Interpreting the result

Percentile rank is a national context measure. It does not tell you whether income is sufficient in your city, whether your housing cost is affordable, or whether your household is financially secure. A high national percentile may still feel tight in a high-cost region, while a lower percentile may go further in a lower-cost area. Household composition also matters: a $100,000 household income supports one adult differently than it supports two adults and several children.

Mean and median also answer different questions. The median is the middle value: half the selected group is below and half is above. The mean is the arithmetic average and is pulled upward by high incomes. That is why an income can be above the median but below the mean. The calculator reports both gaps so the percentile is not read in isolation.

Use the result for general orientation, not for official reporting. Census publications define income, household, and survey methods carefully, and different data products can produce different benchmarks. If you need a precise statistic, cite the specific Census table, year, universe, and income definition.

Sources

• U.S. Census Bureau, Income in the United States: 2021 — national income benchmark context.
• U.S. Census Bureau, Income — Census income topic hub and definitions.
• IRS, Tax Topic 313: Qualified Tuition Programs — included as a federal income-related reference for distinguishing income context from tax treatment.