Our Methodology

At How Many of Me, we estimate how many people share a particular first name, last name, or full name in the United States and worldwide. Our results are based on publicly available government name-frequency data, combined with statistical modeling to translate historical birth records into a present-day estimate.

To be clear: we do not access live government systems, private databases, or personal records. Every figure on this site is a statistical estimate, built entirely from aggregated public data.

This page explains where that data comes from, how we turn decades of birth records into a "people alive today" estimate, and where the real limits of that estimate are.

How We Turn Birth Records Into a "People Alive Today" Estimate

This is the part most name-lookup tools skip, and it's the part that actually matters. Here's the distinction and why it exists.

• Total births vs. people alive today

The SSA's raw numbers tell you how many babies were given a name in a given year, not how many of those people are still alive. A name that was extremely popular in the 1930s has a huge all-time birth total, but a much smaller number of living bearers today, simply because most people born that long ago have since passed away. A name that's newly popular has the opposite pattern: a smaller all-time total, but nearly all of those bearers are still alive. Treating the raw birth count as "how many people have this name today" would be misleading for exactly this reason, so we don't.

• Age-adjusted survival modeling

To get from "total births" to "estimated people alive today," we apply standard actuarial life-expectancy modeling to each birth-year cohort. In plain terms: births from more recent decades count almost fully toward the living estimate, while births from many decades ago are weighted down according to typical survival rates for that age group. We don't publish the exact weighting tables or formulas we use. This is partly because they're refined on an ongoing basis, and partly so the modeling itself can't be reverse-engineered and reproduced wholesale by other sites. What we do publish is the reasoning behind it, and the two resulting numbers themselves: the all-time total, and the living estimate, shown separately on every name page so you can see both.

• Demographic breakdowns

Once we have a living-population estimate, we further model:

• Gender distribution, based on how the name was recorded in SSA birth records.
• Age-group breakdown, based on the birth-year distribution behind the living estimate.
• State-level distribution, modeled from SSA state-level birth data.

These are modeled estimates, not a census of real individuals. We don't know where any specific person named "X" currently lives, only how the population as a whole is likely distributed.

Accuracy and Limitations

A few things worth understanding about what these numbers can and can't tell you:

• All results are statistical estimates, not official government counts.
• The SSA excludes names given to fewer than five people in a given year from its published data, for privacy reasons, so genuinely rare or very recently coined names can return zero or near-zero results. That's a gap in the public data, not an error in our modeling.
• Exact full-name (first + last together) combinations are rarely published anywhere publicly, so full-name estimates are modeled from the two components separately rather than looked up directly.
• Results can shift over time as new data is released, and can differ from reality due to name-spelling variations, migration, and legal name changes that aren't reflected in birth records.

We update our datasets as new public data becomes available, and we revisit our modeling periodically to keep it as accurate as the underlying data allows.