How Many Of
Me Are There?

— The Most Accurate Name Frequency & Rarity Tool for the United States •

The United States is home to over 335 million people, yet most have no idea how many others share their name. How Many of Me analyzes publicly available name frequency data drawn from over 145 years of Social Security Administration birth records and US Census Bureau historical surname lists to estimate how many living Americans currently carry any given name. Enter yours and find out the count, the rarity classification, and a full breakdown by gender, generation, geography, and origin — in seconds.

No account required. No data stored. Results in seconds.

📋 Census Surnames 🔍 SSA Baby Names ⚡ Real-time Data
— NAME RARITY CHECKER

Check how many have your name?

Enter it and find out how many of you there are.

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⊙ Letters only, no spaces or special characters

⊙ Your name is never stored — processed in real-time only.

What You'll Discover

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Name Statistics

See how many people share your name in the United States

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Name Meaning

Discover the origin, meaning, and pronunciation of names

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Popularity Trends

View how name popularity has changed over time

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Geographic Distribution

Find out which states your name is most popular in

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Age Demographics

See the estimated age distribution for each name

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Similar Names

Explore related names and variants from different cultures

Most Common Names in the United States

# Name Gender Peak Year
1 James Male 1947
2 John Male 1947
3 Robert Male 1947
4 Michael Male 1957
5 William Male 1947
6 Mary Female 1921
7 David Male 1955
8 Joseph Male 1956
9 Richard Male 1946
10 Charles Male 1947
11 Thomas Male 1952
12 Christopher Male 1984
13 Daniel Male 1985
14 Elizabeth Female 1990
15 Matthew Male 1983
16 Patricia Female 1951
17 George Male 1921
18 Anthony Male 1990
19 Jennifer Female 1972
20 Linda Female 1947
21 Barbara Female 1947
22 Donald Male 1934
23 Paul Male 1957
24 Mark Male 1960
25 Andrew Male 1987
26 Edward Male 1924
27 Steven Male 1956
28 Kenneth Male 1957
29 Margaret Female 1921
30 Joshua Male 1989
31 Kevin Male 1963
32 Brian Male 1972
33 Susan Female 1955
34 Dorothy Female 1924
35 Sarah Female 1982
36 Timothy Male 1959
37 Ronald Male 1947
38 Jason Male 1977
39 Jessica Female 1987
40 Helen Female 1918
41 Nancy Female 1947
42 Betty Female 1930
43 Karen Female 1957
44 Ryan Male 1985
45 Jacob Male 1998
46 Jeffrey Male 1962
47 Lisa Female 1965
48 Nicholas Male 1995
49 Frank Male 1918
50 Anna Female 1918

Female Names That Are Rising and Nearly Gone

Female Names Rising

# NAME POPULARITY
1 Charlotte 440,706
2 Eleanor 329,630
3 Josephine 328,296
4 Hazel 299,063
5 Amelia 268,612
6 Nora 187,497
7 Violet 178,257
8 Daisy 156,125
9 Camila 117,342
10 Gianna 104,698

Female Names Nearly Gone

# NAME POPULARITY
1 Kinley 19,898
2 Brooklynn 37,543
3 Laila 42,736
4 Makenzie 44,904
5 Khloe 48,778
6 Aubree 48,989
7 Kylee 50,524
8 London 53,894
9 Piper 60,973
10 Mya 61,654

Male Names That Are Rising and Nearly Gone

Male Names Rising

# NAME POPULARITY
1 Henry 761,424
2 Arthur 548,057
3 Liam 338,059
4 Theodore 304,723
5 Oliver 255,607
6 Leo 253,873
7 Wesley 245,260
8 Charlie 219,996
9 Levi 206,601
10 Leon 181,458

Male Names Nearly Gone

# NAME POPULARITY
1 Jayceon 13,122
2 Iker 18,103
3 Gunner 22,896
4 Jase 23,650
5 Brantley 31,809
6 Maximus 33,420
7 King 37,080
8 Corbin 41,176
9 Keegan 41,820
10 Cayden 42,322

Find Out How Many People Have Your Name in the US

Most people have no real sense of where their own name falls on that spectrum. You might assume your name is ordinary because you've heard it a few times at coffee shops. Or you might believe it's rare because no one in your school ever shared it. In both cases, the assumption is built on a tiny slice of personal experience, not data.

Most name tools hand you one number and disappear. This tool gives you the estimated number of people who share your name, who they are, where they live, when the name peaked, and exactly how rare it truly is compared to the rest of the country.

Enter any name above. Within seconds, you get a full statistical profile.

Why Use How Many of Me?

The Questions That Bring People Here and the Answers Waiting on the Other Side

People arrive at this tool from very different starting points, but the underlying curiosity tends to cluster around a few core questions:

  • How many people have my name in the US?
  • How rare is my name, really?
  • How many people share my first and last name exactly?
  • Is my name more male or female — and by how much?
  • Which states have the most people with my name?
  • How popular was my name in the 1970s vs. today?
  • How many people have my name worldwide?
  • Is the baby name I'm considering too common?
  • How many people have my surname in America?

Each of these questions requires a different kind of data to answer properly. A single number can't do it. A vague "your name is popular" label is even less useful. That's why this tool doesn't give you a one-line answer and send you on your way.

Here's What Actually Loads When You Search a Name:

① Estimated Living Count Not a historical total of everyone ever born with your name — that number would be misleading. This is a survival-adjusted estimate of Americans who carry this name today, calculated by applying actuarial life expectancy models to every birth-year cohort in the SSA dataset going back to 1880.

② Rarity Classification and Probability Score Your name is assigned a tier — Very Common, Common, Uncommon, Rare, or Very Rare — based on its living bearer count relative to the total US population. Alongside the tier, you see a "1 in X people" probability ratio and a normalized 0–100 popularity score that places your name on a precise point within its tier, not just inside a broad bucket.

③ Gender Distribution A percentage breakdown showing how the name splits between male and female bearers in SSA records, displayed as both a number and a visual donut chart. Some names sit at 99/1. Others genuinely hover near 50/50. The dominant gender is predicted automatically from the data — not assumed.

④ Generational Ownership Living bearers broken into six cohorts: Kids (born 2022+), Young Adults (2002–2021), Adults (1982–2001), Middle-Aged (1962–1981), Seniors (1942–1961), and Elderly (born before 1942). This tells you which generation actually owns the name in 2025 — not which generation made it famous. The distinction matters more than most people realize.

⑤ Year-by-Year Popularity Timeline (1880–Present) A line chart plotting annual usage across 145 years of SSA records. The peak year is auto-highlighted. A trend arrow tells you whether the name is currently climbing, holding steady, or declining compared to the previous decade. One glance shows you the name's entire lifecycle.

⑥ Decade-by-Decade Breakdown The same historical data compressed into 10-year segments, shown as both a polar chart and a ranked table. You can immediately identify which single decade produced the largest wave of bearers — and how sharply usage rose or fell between eras.

⑦ State-by-State Ranking All 50 US states ranked by estimated number of people carrying the searched name. This is where regional patterns become visible — immigration corridors, religious naming traditions, cultural clusters — all reflected in the geographic distribution of a single name.

⑧ Name Origin & Meaning (available for many common names) gives you a quick, readable snapshot of where the name comes from and what it traditionally means.

Every section answers a different facet of the same question. Together, these eight panels give you more insight into a single name — its frequency, its rarity, its history, its meaning, and its geographic footprint — than any other free public tool currently offers.

All results are generated from 140+ years of publicly available Social Security Administration birth records, cross-referenced with US Census Bureau surname data, and adjusted for age-based survival rates. The result is the most statistically informed name frequency estimate available to the public — for free.

How Rare Is My Name, Really?

The Gap Between What People Assume and What the Data Shows

Human intuition about name frequency is remarkably unreliable and it goes wrong in both directions.

People with common names frequently underestimate how common they are. If your name is James, you might know it's popular, but you probably don't intuitively grasp that more Americans have been given the name James over the past century than any other single name in the SSA record. The sheer scale of "common" is hard to feel without data.

People with uncommon names frequently overestimate how rare they are. A name that nobody in your high school shared with you might still belong to 40,000 living Americans spread across the country. Rarity is relative to the national population, not to your social circle or ZIP code. A name can feel singular in one community and be perfectly ordinary three states away.

And people with trending names often don't realize how fast the window is closing. Jennifer dominated the 1970s and 1980s so heavily that it felt universal at the time. Today, it's given to so few newborns annually that a child born this year named Jennifer would actually carry a statistically uncommon name among their own generation. The name didn't change — the population carrying it aged, and new parents moved on.

This is why a number alone isn't enough. You need context:

Rarity TierApproximate Frequency
Very CommonShared by 1 in every 100 people or fewer
CommonShared by 1 in 100–500 people
UncommonShared by 1 in 500–5,000 people
RareShared by 1 in 5,000–50,000 people
Very RareShared by 1 in more than 50,000 people

The rarity score this tool produces accounts for all of this. It doesn't just tell you how many people share your name. It tells you how that count compares to the full population, which generations hold it, and where in the country those people are concentrated.

That's the gap between assumption and data — and it's usually wider than anyone expects.

How to Use the Tool

Five Steps. Less Than a Minute.

This tool was built to be the fastest path from question to answer. No forms to fill. No email to verify. No account to create. Here's the entire process:

Step 1 — Enter Any Name
Type a first name or last name into the search box at the top of this page. The tool handles given names, surnames, and a wide range of regional and international name variants. Use letters only — no spaces, hyphens, numbers, or special characters.
Examples: Maria, Patel, Christopher, Nguyen, Aaliyah, O'Brien → OBrien

Step 2 — Click "Check Uniqueness"
Results load within seconds. The page scrolls automatically to your report.

Step 3 — Read Through Your Full Report
Each panel answers a specific question: total count and rarity, name origin and meaning, gender split, generational distribution, year-by-year trend, decade breakdown, and state ranking.

Step 4 — Explore similar names
The Similar Names section at the bottom of your results shows phonetically related names you can click to load instantly — no retyping required. Useful for comparing variants or exploring alternatives.

Step 5 — Share your results
The Share button generates a direct link to your name's result page that you can send to others or post to social media.

Where the Name Data Comes From

Two Federal Data Sources. One Statistical Model. No Guesswork.

Every number this tool produces traces back to official US government records. No crowdsourced data. No social media scraping. No self-reported surveys. Here is exactly what feeds the model:

1. SSA National Baby Names Dataset
The Social Security Administration publishes the frequency of every first name given to newborns in the US each year, going back to 1880. This dataset represents a 100% sample of Social Security card applications and is released publicly each year. Names given to fewer than five individuals in a given year are withheld from publication for privacy reasons — which is why some very rare names return limited results. This is a data limitation from the source, not an error in this tool.

2. US Census Bureau Surname Frequency Data
Last name data draws from a separate source: the Census Bureau's publicly released genealogy files, which track surname frequency across the American population independently of the SSA birth records. This is why this tool can accurately handle last-name searches as well as first-name searches.

How the Living Count Is Calculated
Raw birth counts are not the same as living counts. A name given to 60,000 babies in 1922 contributes almost no living bearers today — that cohort is largely no longer with us. The tool applies age-adjusted survival modeling to each birth year's data to estimate how many people from each cohort are statistically likely to still be alive. This is what separates a genuine "living estimate" from simply summing up historical birth records.

Accuracy Note
All figures are statistical estimates derived from publicly available data. No US government database publishes a real-time, live count of every living American by name. For common names, the model produces reliable estimates. For very rare names with sparse or missing SSA records, the margin of error is wider. Full technical methodology is explained on the Methodology page.

Why Do Name Popularity Trends Change?

Names Don't Just Become Popular or Unpopular at Random — Specific Forces Drive Every Shift

If you use the year-by-year timeline in this tool long enough, a pattern becomes obvious: names don't drift gradually in and out of fashion. They spike. They plateau. They collapse. And then — sometimes decades later — they quietly return. These movements aren't random. They're driven by identifiable, recurring forces.

Pop Culture and Media
Television, film, and streaming have a measurable, documented impact on naming patterns. The SSA records show sharp spikes following the release of major cultural properties — names from popular shows and films sometimes jump hundreds of ranking positions in a single year. These surges tend to be brief: peaking within one to two years of the cultural moment and then declining just as fast. The popularity chart in this tool marks these spikes clearly, so you can see them for yourself.

The 80-Year Recycling Pattern
Names go through a predictable lifecycle. A name peaks in popularity, then becomes closely associated with a specific generation, then feels dated, then — about 70 to 80 years after its peak — starts feeling fresh again as a vintage choice. Clara, Theodore, Walter, Hazel, and Ezra all followed this arc. The decade-by-decade breakdown in this tool makes these cycles visible across more than 14 decades of data.

Immigration and Demographic Change
The demographic composition of the US has shifted substantially since the 1970s, and SSA records capture this in real time. Spanish-origin names expanded significantly from the 1970s onward. South Asian, East Asian, and African-origin names have increased steadily since the 1990s. The state distribution panel in this tool shows how these patterns cluster regionally — matching actual demographic and immigration data with geographic precision.

The Psychology of Name Frequency
Research in social psychology has documented what is called the "name-letter effect" — people show a measurable positive bias toward others who share their name or initials. A common name increases the statistical likelihood of triggering that small social bond with strangers. A rare name trades frequency of that connection for distinctiveness and memorability. Neither is objectively better. But understanding the actual numbers gives you the information to make that trade-off consciously — whether you're choosing a name for a child or simply understanding your own.

This Tool Is Used by Four Main Groups

Who Uses This Tool? Four Groups — Each With a Different Reason, All Looking for the Same Kind of Data

Expectant Parents
Checking whether a name being considered for a baby will mean that child is one of twenty-five in their school — or genuinely the only one. The generational breakdown shows not just how common a name is now, but which age group currently carries it most. A name popular with 60-year-olds reads very differently on a newborn than a name currently trending with 5-year-olds.

Genealogists and Family Researchers
Estimating how many people share a specific surname helps researchers prioritize where to focus record searches. A surname shared by 50 people nationwide requires very different research strategy than one shared by 500,000. The surname data in this tool comes from Census Bureau genealogy files — the same source professional genealogists use.

Writers, Screenwriters, and Game Designers
A character's name signals era, class, region, and authenticity. A character born in 1955 named Kevin reads accurately. The same character named Jaxon reads anachronistically wrong. The year-by-year and decade-by-decade charts in this tool make it easy to verify whether a name would have been plausible in any specific historical period.

People Who Are Simply Curious
Sometimes the question is simply personal. You've wondered your whole life whether you're one of thousands or genuinely one of a kind. This tool answers it in under ten seconds — no account, no sign-up, no data collected about you at all.

Important Data Limitations

Being transparent about data accuracy builds trust — and it's what separates a professional tool from an unreliable one.

What the numbers are: Statistical estimates derived from publicly available government data, adjusted using actuarial survival modeling. They represent the best possible public estimate of current name bearers in the United States.

What the numbers are not: Live government headcounts. No publicly accessible US database tracks every living American by name in real time.

Three specific limitations to be aware of:

Very rare names return zero or near-zero results. The SSA withholds data on any name given to fewer than five people in a single year. This is a privacy protection built into the source data — not a flaw in this tool. If your name returns no results, try the most common spelling variant.

Spelling variants are tracked separately. The SSA does not combine alternate spellings. Sophia and Sofia are counted as distinct names. Katherine and Catherine are distinct. The combined count across all spellings of a name would be higher than any single spelling shows.

Data refreshes periodically. The SSA releases updated name records annually, typically each spring. This tool's data is updated each time a new SSA release becomes available.

Frequently Asked Questions

1) How many people have my name in the US?

When you search a name, the tool returns an estimate based on aggregated, publicly available US name-frequency datasets—primarily Social Security Administration (SSA) baby-name records (for first names) and US Census surname tabulations (for last names). The result is meant to answer "How common is this name nationally?" (not "Which people have it?").

2) How rare is my name?

"Rarity" is calculated by comparing your name's estimated count against the wider population, then expressing it in a human-friendly way (for example, a rarity tier + a "1 in X people" style probability). This helps you understand whether your name is rare nationwide—even if it feels common in your city (or the opposite).

3) Can I see how popular my name has been over time?

Yes. Your report can include a popularity timeline showing how the name's usage changes across years/decades. SSA's public baby-name data supports year-by-year trend views going back to the late 1800s, which is why long-term trend charts are possible.

4) Can I search last names as well?

Yes. Surnames use different data than first names. In the US, surname frequency is commonly drawn from Census Bureau surname tabulations, which provide frequency counts (not personal records). Note: the widely used Census "frequently occurring surnames" files include surnames that appear 100+ times in the census responses.

5) Why does my name show zero results?

Zero usually happens for one of these reasons:

  • Privacy thresholds in SSA data: SSA excludes/suppresses names with fewer than 5 occurrences in a geographic area/year in its public files, so very rare names (or rare spellings) may not appear.
  • Spelling/format differences: Similar spellings are not combined (e.g., multiple variants are treated separately). Also, SSA removes hyphens and spaces from the "First Name" field in its tabulations, which can change how a name is counted.
  • Surname coverage limits: If you're searching a last name, Census "frequently occurring" surname tables typically only include surnames occurring 100+ times, so uncommon surnames may not appear there.

6) How accurate are the estimates?

They're best-effort statistical estimates based on public, aggregated datasets—useful for understanding frequency and trends, but not a live government headcount.

Key accuracy notes from the underlying SSA dataset: SSA name data comes from Social Security card applications for US births after 1879. Coverage is thinner for some older cohorts because many people born before 1937 never applied for a Social Security card (or have missing fields like state of birth), so older data can be incomplete. SSA also notes the data is from a 100% sample of their records (as of March 2025), but still subject to the listed qualifications (missing fields, privacy suppression, spelling variants, etc.).

7) Is my search private?

Yes—your search should be treated as private by design: the tool should generate results from aggregated statistics and not display or reveal personal data about individuals (no addresses, no profiles, no identity matching). Also, the core public sources used for surnames explicitly provide frequency only and no individual-level info.

8) Can I check different names multiple times?

Yes. You can search as many names as you want—your own name, friends/family names, baby-name ideas, spelling variants, etc. (It's a great way to compare "Muhammad vs. Mohammad" style variations or first-name-only vs full-name searches.)

9) How many people have my name in the world?

This tool is US-focused, because the US has unusually strong public name datasets (SSA + Census surname tables). Globally, there is no single complete worldwide database for all countries and languages. If you want a global picture, you typically need to consult country-by-country national statistics offices (where available), and/or international surname aggregators (coverage varies a lot by region).

10) Is the How Many of Me tool free?

Yes—this tool is offered free with no account required.