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Researchers’ citation

Please cite this page as:

Black, T. R. (2026). The United States: pediatric suicide rates, ages 0–19. Retrieved [date], from https://pediatricsuicides.ca/america/

Author identifier: ORCID 0000-0002-5681-4930
Dataset DOI: 10.5281/zenodo.22672942

Download the data — every count and denominator on this site, as CSV, with notes.

United States · Ages 0–19 · 1968–2025

Pediatric Suicides in America

A unique story influenced by firearms, ethnicity, and urbvanicity.

FUNDAMENTAL KNOWLEDGE ABOUT SUICIDE RATES BEFORE YOU REPORT ANYTHING!

Suicides are expressed as "# per 100,000 per year," but in some jurisdictions this means that we are converting very small numbers into rates (14/400,000 population, for example). Because of this, small changes in numbers of death can create 'bumpy' rate charts. The whole purpose of the confidence intervals and statistical significance on this page is to help you understand what is simply noise and what may be a true change.

This chart groups age "0-19" suicides, but it's important to note that 0-19 is really not what we are looking at. Suicides under 10 are extremely rare  (<1 per million person years), and suicide rates  increase with age all the way to age 19. So the "pool" of 0-19 is describing 19 year old suicides (12.3 per 100,000) more than it's describing 10 year old suicides (0.4 per 100,000), by a large margin.  It is best to think of the "0-19" number as including young children but mostly being older adolescents.

Be cautious comparing jurisdictions like states or countries; there are huge differences in culture, methods available, ethnicity, poverty, and other variables. It's even been shown that religious coroners are less likely to adjudicate findings of suicide than non-religious coroners!

Media recommendations for responsible coverage - SAVE: Suicide Prevention, Information, and Awareness

Years shown
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Sex
Ages
Uncertainty
Trend
First period
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Second period
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Value labels
Trend fitted over
Years tested
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Comparison window

Female: In 2025, the rate was 2.18 per 100,000 per year. The fitted trend has been rising 2.1% a year since 2016 (95% CI +1.4% to +2.8%); across 2001–2025 the model finds 2 changes of direction. Male: In 2025, the rate was 4.89 per 100,000 per year. The fitted trend has been falling 2.3% a year since 2018 (95% CI −2.9% to −1.7%); across 2001–2025 the model finds 3 changes of direction.

Show the numbers behind this view

Latest year available: 2025 (3.56 per 100k/year)2025 (latest year)3.56/100k/yearages 0–19
Year-over-year: +12% (+6% to +18%)Year-over-year+12%95% CI +6% to +18%2024: 3.18 per 100,000
2025 vs its trend: +12% (+7% to +18%)2025 vs its trend+12%95% CI +7% to +18%The trend through 2024 predicted 3.18 per 100,000
Highest year on record: 2018 (3.62 per 100k/year)Highest year on record3.62/100k/year2018

State by state

I've created two maps here - one shows the raw rate of suicide for the full states. However, it's important to remember that urbanicity and ethnicity - two huge correlates with suicide rate - are variable state by state. the "Like for like" view extracts the suicide rate for all white, non-Hispanic, metro youth. If you are comparing states and want to control for known correlates, this is a much superior map.

Comparing very different demographics

White, non-Hispanic, metro only

Group states and test them against each other

AK10.37ME3.18VT5.51NH3.98WA3.94ID6.41MT10.72ND5.03MN3.72IL2.64WI3.75MI3.37NY1.69RI2.08MA1.76OR4.42NV4.76WY8.42SD8.57IA3.97IN3.76OH3.64PA2.83NJ1.42CT2.12CA2.13UT4.91CO5.59NE4.11MO4.43KY3.99WV4.10VA3.47MD2.28DE3.25AZ4.35NM6.45KS4.99AR3.98TN4.28NC3.62SC3.66DC2.43OK4.97LA3.21MS3.74AL3.83GA3.81HI3.13TX3.66FL2.71
AKMEVTNHWAIDMTNDMNILWIMINYRIMAORNVWYSDIAINOHPANJCTCAUTCONEMOKYWVVAMDDEAZNMKSARTNNCSCDCOKLAMSALGAHITXFL
0–2.002.00–3.003.00–4.004.00–6.006.00–9.009.00+deaths per 100,000 per year, ages 0–19, all children, 2021–2025

Montana runs at 10.72 per 100,000 per year and New Jersey at 1.42 — a 7.5× difference between the highest and lowest states. The national figure over the same window is 3.35. A national number describes no state in particular, and the states at the top of this map are the ones with the largest American Indian and Alaska Native populations and the most children living outside metropolitan areas. Which raises the obvious question, and the next tab is the answer to it.

AK4.80ME3.92VT4.08NH3.51WA4.16ID7.34MT6.93ND3.65MN3.45IL2.85WI3.46MI3.72NY1.96RI1.48MA1.87OR5.18NV4.94WY9.37SD3.58IA3.65IN4.56OH3.80PA3.00NJ2.00CTCA2.84UT5.83CO5.88NE3.83MO4.40KY4.08WV3.97VA3.85MD2.80DE2.41AZ4.40NM9.02KS4.87AR4.46TN4.08NC3.78SC4.19DCOK5.01LA3.94MS5.23AL4.71GA4.35HITX5.18FL3.61
AKMEVTNHWAIDMTNDMNILWIMINYRIMAORNVWYSDIAINOHPANJCTCAUTCONEMOKYWVVAMDDEAZNMKSARTNNCSCDCOKLAMSALGAHITXFL
0–2.002.00–3.003.00–4.004.00–6.006.00–9.009.00+White non-Hispanic children in metropolitan areas, ages 0–19, 2018–2024





Holding demography still barely narrows the gap. Among White non-Hispanic children in metropolitan counties, Wyoming runs at 9.37 per 100,000 per year against Rhode Island at 1.48 — still a 6.3× spread, against 7.5× for all children. Restricting to a single demographic group removes only about 16% of the difference between the highest and lowest states. Whatever is driving the variation between American states, most of it is not the composition of their populations.

Not shown: Connecticut, District of Columbia, Hawaii. Connecticut is absent from the published table; the District of Columbia and Hawaii hold fewer than 10 deaths in this group across seven years and may not be displayed.

Put states in

Choose a bucket, then click states to put them in it. Clicking a state already in that bucket takes it out; clicking one from another bucket moves it across.

AK10.37ME3.18VT5.51NH3.98WA3.94ID6.41MT10.72ND5.03MN3.72IL2.64WI3.75MI3.37NY1.69RI2.08MA1.76OR4.42NV4.76WY8.42SD8.57IA3.97IN3.76OH3.64PA2.83NJ1.42CT2.12CA2.13UT4.91CO5.59NE4.11MO4.43KY3.99WV4.10VA3.47MD2.28DE3.25AZ4.35NM6.45KS4.99AR3.98TN4.28NC3.62SC3.66DC2.43OK4.97LA3.21MS3.74AL3.83GA3.81HI3.13TX3.66FL2.71
AKMEVTNHWAIDMTNDMNILWIMINYRIMAORNVWYSDIAINOHPANJCTCAUTCONEMOKYWVVAMDDEAZNMKSARTNNCSCDCOKLAMSALGAHITXFL
0–2.002.00–3.003.00–4.004.00–6.006.00–9.009.00+deaths per 100,000 per year, ages 0–19, 2021–2025 — a state keeps its rate until it is put in a bucket

Put some states in a bucket to compare them.

Select a state

Its full record since 1999, with the trend fitted to whatever resolution the state's numbers support.

Choose a state on either map. The record shown is always all children, since the like-for-like table is a single pooled figure with no year detail.

CDC WONDER, ages 0–19, computed from counts and population.

The like-for-like map restricts the data rather than standardising it: 2018–2024, single-race White not Hispanic, metropolitan counties only, no weighting and no reference population. Denominators are smoothed over 9 years and projected one year past the published estimates, which stop at 2024; death counts never are. CDC will not show a cell under 10 deaths, so each state pools into the narrowest run of consecutive years that clears it — 14 of 51 need more than one — by summing counts and person-time, never by averaging rates.

Why some state charts have a dotted line

Deaths through 2020 are counted by the state the child lived in and from 2021 by the state the death occurred in, which is what CDC publishes for those years; the national totals of the two extracts agree exactly, year for year, so no death is added or lost and only its attribution to a state can move. The population estimates change vintage at 2020 as well, and the earlier years are scaled onto the current vintage using the overlap year, so that a re-basing cannot appear as a change in the rate.

Urbanicity is associated with suicide rates, and the association is a firearm association.

Boys are more likely to die by firearm suicide. Hence the sharpest urbanization trends are in boys. Exclude firearm suicides and most of the trend goes with them... what remains is about a quarter of the original association. Black non-Hispanic youth are the exception: they show no urbanization gradient at all, and Black non-Hispanic girls go the other way.

All children, all methods, 2018–2024

All children, firearm, 2018–2024

All children, other methods, 2018–2024

Boys, all methods, 2018–2024

Boys, firearm, 2018–2024

Boys, other methods, 2018–2024

Girls, all methods, 2018–2024

Girls, firearm, 2018–2024

Girls, other methods, 2018–2024

White non-Hispanic, 2018–2024

White non-Hispanic boys, 2018–2024

White non-Hispanic girls, 2018–2024

Black non-Hispanic, 2018–2024

Black non-Hispanic boys, 2018–2024

Black non-Hispanic girls, 2018–2024

Hispanic, 2018–2024

Hispanic boys, 2018–2024

Hispanic girls, 2018–2024

Large central metrobig-city counties, metro areas over 1million2.71Large fringe metrothe suburbs of those same big cities3.02Medium metrometro areas of 250,000 to 1 million3.57Small metrometro areas under 250,0004.22Micropolitana town of 10,000 to 50,000, nolarger city4.55Non-corerural counties with no town of10,0005.50pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million2.71Large fringe metrothe suburbs of those same big cities3.02Medium metrometro areas of 250,000 to 1 million3.57Small metrometro areas under 250,0004.22Micropolitana town of 10,000 to 50,000, no larger city4.55Non-corerural counties with no town of 10,0005.50pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.04Large fringe metrothe suburbs of those same big cities1.24Medium metrometro areas of 250,000 to 1 million1.68Small metrometro areas under 250,0002.14Micropolitana town of 10,000 to 50,000, nolarger city2.44Non-corerural counties with no town of10,0003.36pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.04Large fringe metrothe suburbs of those same big cities1.24Medium metrometro areas of 250,000 to 1 million1.68Small metrometro areas under 250,0002.14Micropolitana town of 10,000 to 50,000, no larger city2.44Non-corerural counties with no town of 10,0003.36pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.66Large fringe metrothe suburbs of those same big cities1.78Medium metrometro areas of 250,000 to 1 million1.89Small metrometro areas under 250,0002.08Micropolitana town of 10,000 to 50,000, nolarger city2.12Non-corerural counties with no town of10,0002.15pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.66Large fringe metrothe suburbs of those same big cities1.78Medium metrometro areas of 250,000 to 1 million1.89Small metrometro areas under 250,0002.08Micropolitana town of 10,000 to 50,000, no larger city2.12Non-corerural counties with no town of 10,0002.15pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million3.74Large fringe metrothe suburbs of those same big cities4.18Medium metrometro areas of 250,000 to 1 million5.16Small metrometro areas under 250,0006.16Micropolitana town of 10,000 to 50,000, nolarger city6.74Non-corerural counties with no town of10,0008.22pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million3.74Large fringe metrothe suburbs of those same big cities4.18Medium metrometro areas of 250,000 to 1 million5.16Small metrometro areas under 250,0006.16Micropolitana town of 10,000 to 50,000, no larger city6.74Non-corerural counties with no town of 10,0008.22pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.76Large fringe metrothe suburbs of those same big cities2.08Medium metrometro areas of 250,000 to 1 million2.86Small metrometro areas under 250,0003.70Micropolitana town of 10,000 to 50,000, nolarger city4.10Non-corerural counties with no town of10,0005.64pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.76Large fringe metrothe suburbs of those same big cities2.08Medium metrometro areas of 250,000 to 1 million2.86Small metrometro areas under 250,0003.70Micropolitana town of 10,000 to 50,000, no larger city4.10Non-corerural counties with no town of 10,0005.64pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.98Large fringe metrothe suburbs of those same big cities2.10Medium metrometro areas of 250,000 to 1 million2.30Small metrometro areas under 250,0002.46Micropolitana town of 10,000 to 50,000, nolarger city2.64Non-corerural counties with no town of10,0002.58pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.98Large fringe metrothe suburbs of those same big cities2.10Medium metrometro areas of 250,000 to 1 million2.30Small metrometro areas under 250,0002.46Micropolitana town of 10,000 to 50,000, no larger city2.64Non-corerural counties with no town of 10,0002.58pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.63Large fringe metrothe suburbs of those same big cities1.80Medium metrometro areas of 250,000 to 1 million1.90Small metrometro areas under 250,0002.18Micropolitana town of 10,000 to 50,000, nolarger city2.26Non-corerural counties with no town of10,0002.62pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.63Large fringe metrothe suburbs of those same big cities1.80Medium metrometro areas of 250,000 to 1 million1.90Small metrometro areas under 250,0002.18Micropolitana town of 10,000 to 50,000, no larger city2.26Non-corerural counties with no town of 10,0002.62pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million0.30Large fringe metrothe suburbs of those same big cities0.36Medium metrometro areas of 250,000 to 1 million0.45Small metrometro areas under 250,0000.51Micropolitana town of 10,000 to 50,000, nolarger city0.69Non-corerural counties with no town of10,0000.93pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million0.30Large fringe metrothe suburbs of those same big cities0.36Medium metrometro areas of 250,000 to 1 million0.45Small metrometro areas under 250,0000.51Micropolitana town of 10,000 to 50,000, no larger city0.69Non-corerural counties with no town of 10,0000.93pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.33Large fringe metrothe suburbs of those same big cities1.44Medium metrometro areas of 250,000 to 1 million1.46Small metrometro areas under 250,0001.68Micropolitana town of 10,000 to 50,000, nolarger city1.56Non-corerural counties with no town of10,0001.69pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.33Large fringe metrothe suburbs of those same big cities1.44Medium metrometro areas of 250,000 to 1 million1.46Small metrometro areas under 250,0001.68Micropolitana town of 10,000 to 50,000, no larger city1.56Non-corerural counties with no town of 10,0001.69pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million3.30Large fringe metrothe suburbs of those same big cities3.38Medium metrometro areas of 250,000 to 1 million4.16Small metrometro areas under 250,0004.55Micropolitana town of 10,000 to 50,000, nolarger city4.81Non-corerural counties with no town of10,0005.39pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million3.30Large fringe metrothe suburbs of those same big cities3.38Medium metrometro areas of 250,000 to 1 million4.16Small metrometro areas under 250,0004.55Micropolitana town of 10,000 to 50,000, no larger city4.81Non-corerural counties with no town of 10,0005.39pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million4.68Large fringe metrothe suburbs of those same big cities4.77Medium metrometro areas of 250,000 to 1 million6.09Small metrometro areas under 250,0006.84Micropolitana town of 10,000 to 50,000, nolarger city7.31Non-corerural counties with no town of10,0008.26pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million4.68Large fringe metrothe suburbs of those same big cities4.77Medium metrometro areas of 250,000 to 1 million6.09Small metrometro areas under 250,0006.84Micropolitana town of 10,000 to 50,000, no larger city7.31Non-corerural counties with no town of 10,0008.26pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.85Large fringe metrothe suburbs of those same big cities1.90Medium metrometro areas of 250,000 to 1 million2.13Small metrometro areas under 250,0002.14Micropolitana town of 10,000 to 50,000, nolarger city2.17Non-corerural counties with no town of10,0002.33pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.85Large fringe metrothe suburbs of those same big cities1.90Medium metrometro areas of 250,000 to 1 million2.13Small metrometro areas under 250,0002.14Micropolitana town of 10,000 to 50,000, no larger city2.17Non-corerural counties with no town of 10,0002.33pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million2.87Large fringe metrothe suburbs of those same big cities3.04Medium metrometro areas of 250,000 to 1 million3.24Small metrometro areas under 250,0003.37Micropolitana town of 10,000 to 50,000, nolarger city3.45Non-corerural counties with no town of10,0002.99pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million2.87Large fringe metrothe suburbs of those same big cities3.04Medium metrometro areas of 250,000 to 1 million3.24Small metrometro areas under 250,0003.37Micropolitana town of 10,000 to 50,000, no larger city3.45Non-corerural counties with no town of 10,0002.99pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million4.00Large fringe metrothe suburbs of those same big cities4.16Medium metrometro areas of 250,000 to 1 million4.74Small metrometro areas under 250,0004.83Micropolitana town of 10,000 to 50,000, nolarger city5.04Non-corerural counties with no town of10,0004.97pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million4.00Large fringe metrothe suburbs of those same big cities4.16Medium metrometro areas of 250,000 to 1 million4.74Small metrometro areas under 250,0004.83Micropolitana town of 10,000 to 50,000, no larger city5.04Non-corerural counties with no town of 10,0004.97pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.71Large fringe metrothe suburbs of those same big cities1.90Medium metrometro areas of 250,000 to 1 million1.69Small metrometro areas under 250,0001.86Micropolitana town of 10,000 to 50,000, nolarger city1.78Non-corerural counties with no town of10,0000.88pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.71Large fringe metrothe suburbs of those same big cities1.90Medium metrometro areas of 250,000 to 1 million1.69Small metrometro areas under 250,0001.86Micropolitana town of 10,000 to 50,000, no larger city1.78Non-corerural counties with no town of 10,0000.88pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million2.17Large fringe metrothe suburbs of those same big cities2.33Medium metrometro areas of 250,000 to 1 million2.66Small metrometro areas under 250,0003.21Micropolitana town of 10,000 to 50,000, nolarger city3.55Non-corerural counties with no town of10,0003.92pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million2.17Large fringe metrothe suburbs of those same big cities2.33Medium metrometro areas of 250,000 to 1 million2.66Small metrometro areas under 250,0003.21Micropolitana town of 10,000 to 50,000, no larger city3.55Non-corerural counties with no town of 10,0003.92pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million2.97Large fringe metrothe suburbs of those same big cities3.12Medium metrometro areas of 250,000 to 1 million3.64Small metrometro areas under 250,0004.56Micropolitana town of 10,000 to 50,000, nolarger city4.98Non-corerural counties with no town of10,0005.88pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million2.97Large fringe metrothe suburbs of those same big cities3.12Medium metrometro areas of 250,000 to 1 million3.64Small metrometro areas under 250,0004.56Micropolitana town of 10,000 to 50,000, no larger city4.98Non-corerural counties with no town of 10,0005.88pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1million1.34Large fringe metrothe suburbs of those same big cities1.52Medium metrometro areas of 250,000 to 1 million1.64Small metrometro areas under 250,0001.81Micropolitana town of 10,000 to 50,000, nolarger city2.06Non-corerural counties with no town of10,0001.85pediatricsuicides.ca - Dr. Tyler R. Black
Large central metrobig-city counties, metro areas over 1 million1.34Large fringe metrothe suburbs of those same big cities1.52Medium metrometro areas of 250,000 to 1 million1.64Small metrometro areas under 250,0001.81Micropolitana town of 10,000 to 50,000, no larger city2.06Non-corerural counties with no town of 10,0001.85pediatricsuicides.ca - Dr. Tyler R. Black

Suicide rate per 100,000 per year, ages 0–19, 2018–2025, by the child's county of residence. The line through each bar is its 95% confidence interval.

Children in the most rural counties die by suicide at 5.52 per 100,000 per year against 2.71 in big-city counties — 2.04× higher (95% CI 1.93–2.15). The gradient is monotonic: every step from city to country raises the rate, with no reversal anywhere along it. That is what a real effect looks like, as against a difference between two arbitrary groups. It also explains a good deal of the state map above, since the states at the top of it are the least urban — and it is the reason the like-for-like map holds urbanisation fixed as well as race.

Show the numbers behind this view
UrbanisationWhat that meansDeaths Rate95% CIvs big-city counties
Large central metrobig-city counties, metro areas over 1 million5,4282.712.64–2.781.00×
Large fringe metrothe suburbs of those same big cities5,0543.012.92–3.091.11×
Medium metrometro areas of 250,000 to 1 million4,8783.553.46–3.661.31×
Small metrometro areas under 250,0002,4494.254.08–4.421.57×
Micropolitana town of 10,000 to 50,000, no larger city2,5204.604.43–4.791.70×
Non-corerural counties with no town of 10,0001,8775.525.27–5.772.04×
Large central metro White non-Hispanicbig-city counties, metro areas over 1 million1,8453.303.15–3.461.00×
Large fringe metro White non-Hispanicthe suburbs of those same big cities2,6633.383.25–3.511.02×
Medium metro White non-Hispanicmetro areas of 250,000 to 1 million2,6164.164.01–4.331.26×
Small metro White non-Hispanicmetro areas under 250,0001,4514.554.32–4.791.38×
Micropolitan White non-Hispanica town of 10,000 to 50,000, no larger city1,5554.814.57–5.051.46×
Non-core White non-Hispanicrural counties with no town of 10,0001,1595.395.08–5.711.63×
Large central metro White non-Hispanic, boysbig-city counties, metro areas over 1 million1,3404.684.43–4.941.00×
Large fringe metro White non-Hispanic, boysthe suburbs of those same big cities1,9344.774.56–4.991.02×
Medium metro White non-Hispanic, boysmetro areas of 250,000 to 1 million1,9646.095.83–6.371.30×
Small metro White non-Hispanic, boysmetro areas under 250,0001,1186.846.45–7.261.46×
Micropolitan White non-Hispanic, boysa town of 10,000 to 50,000, no larger city1,2147.316.91–7.731.56×
Non-core White non-Hispanic, boysrural counties with no town of 10,0009168.267.73–8.811.76×
Large central metro White non-Hispanic, girlsbig-city counties, metro areas over 1 million5051.851.70–2.021.00×
Large fringe metro White non-Hispanic, girlsthe suburbs of those same big cities7291.901.76–2.041.03×
Medium metro White non-Hispanic, girlsmetro areas of 250,000 to 1 million6522.131.97–2.301.15×
Small metro White non-Hispanic, girlsmetro areas under 250,0003332.141.92–2.381.16×
Micropolitan White non-Hispanic, girlsa town of 10,000 to 50,000, no larger city3412.171.94–2.411.17×
Non-core White non-Hispanic, girlsrural counties with no town of 10,0002432.332.05–2.651.26×
Large central metro Black non-Hispanicbig-city counties, metro areas over 1 million8762.872.68–3.061.00×
Large fringe metro Black non-Hispanicthe suburbs of those same big cities6023.042.80–3.291.06×
Medium metro Black non-Hispanicmetro areas of 250,000 to 1 million5043.242.96–3.531.13×
Small metro Black non-Hispanicmetro areas under 250,0001843.372.90–3.891.17×
Micropolitan Black non-Hispanica town of 10,000 to 50,000, no larger city1463.452.91–4.051.20×
Non-core Black non-Hispanicrural counties with no town of 10,000772.992.36–3.741.04×
Large central metro Black non-Hispanic, boysbig-city counties, metro areas over 1 million6184.003.69–4.331.00×
Large fringe metro Black non-Hispanic, boysthe suburbs of those same big cities4174.163.77–4.581.04×
Medium metro Black non-Hispanic, boysmetro areas of 250,000 to 1 million3744.744.27–5.251.19×
Small metro Black non-Hispanic, boysmetro areas under 250,0001344.834.05–5.721.21×
Micropolitan Black non-Hispanic, boysa town of 10,000 to 50,000, no larger city1095.044.14–6.081.26×
Non-core Black non-Hispanic, boysrural counties with no town of 10,000664.973.85–6.331.24×
Large central metro Black non-Hispanic, girlsbig-city counties, metro areas over 1 million2581.711.51–1.931.00×
Large fringe metro Black non-Hispanic, girlsthe suburbs of those same big cities1851.901.63–2.191.11×
Medium metro Black non-Hispanic, girlsmetro areas of 250,000 to 1 million1301.691.42–2.010.99×
Small metro Black non-Hispanic, girlsmetro areas under 250,000501.861.38–2.451.09×
Micropolitan Black non-Hispanic, girlsa town of 10,000 to 50,000, no larger city371.781.26–2.461.04×
Non-core Black non-Hispanic, girlsrural counties with no town of 10,000110.880.44–1.580.52×
Large central metro Hispanicbig-city counties, metro areas over 1 million1,4022.172.06–2.291.00×
Large fringe metro Hispanicthe suburbs of those same big cities7102.332.17–2.511.08×
Medium metro Hispanicmetro areas of 250,000 to 1 million7992.662.48–2.851.23×
Small metro Hispanicmetro areas under 250,0002763.212.84–3.611.48×
Micropolitan Hispanica town of 10,000 to 50,000, no larger city2683.553.14–4.011.64×
Non-core Hispanicrural counties with no town of 10,0001313.923.27–4.651.81×
Large central metro Hispanic, boysbig-city counties, metro areas over 1 million9772.972.78–3.161.00×
Large fringe metro Hispanic, boysthe suburbs of those same big cities4843.122.85–3.411.05×
Medium metro Hispanic, boysmetro areas of 250,000 to 1 million5583.643.35–3.961.23×
Small metro Hispanic, boysmetro areas under 250,0002004.563.95–5.241.54×
Micropolitan Hispanic, boysa town of 10,000 to 50,000, no larger city1924.984.30–5.741.68×
Non-core Hispanic, boysrural counties with no town of 10,0001015.884.79–7.141.98×
Large central metro Hispanic, girlsbig-city counties, metro areas over 1 million4251.341.22–1.471.00×
Large fringe metro Hispanic, girlsthe suburbs of those same big cities2261.521.33–1.731.13×
Medium metro Hispanic, girlsmetro areas of 250,000 to 1 million2411.641.44–1.861.22×
Small metro Hispanic, girlsmetro areas under 250,000761.811.42–2.261.35×
Micropolitan Hispanic, girlsa town of 10,000 to 50,000, no larger city762.061.62–2.581.54×
Non-core Hispanic, girlsrural counties with no town of 10,000301.851.24–2.631.38×

CDC WONDER, 2018–2025, NCHS 2023 urbanisation classification by county of residence. Deaths are as published.

These views restrict the data; they do not standardise it. The gradient is partly a fact about who lives where, so each of these holds race, ethnicity and sex still and lets only urbanisation vary — no weighting, no reference population, no model. Each one is not the rate at which children die in rural America: it sets aside every child outside its own group, which is the point of it and also the danger of it. Every chart shares one scale, and rate ratios take large central metro as the comparator. The dashed outline behind each bar is all children in that category over the same years, so switching view shows the restriction and not a different window. Boys are the group total minus girls, which is exact rather than modelled.

The denominator stops before the deaths do. CDC publishes deaths for White non-Hispanic, Black non-Hispanic and Hispanic children by urbanisation through 2024 and population only through 2021. For 2022–2024 the last published denominator is carried forward rather than projected. Measured against each group's own trend that moves the affected years by 2.6% at worst and under 1% pooled, and it moves them downward for White non-Hispanic children — the highest-rate group — so it narrows the gaps between groups slightly rather than widening them. Counts CDC suppresses for holding fewer than ten deaths are recovered by differencing two exports of the same query, one with suicide included and one without: both sides run to the hundreds, so neither is suppressed. Those recovered annual counts are never shown. Only the pooled figures are, and the smallest of those is eleven deaths. The mechanism split is where the gradient lives. Firearm suicide runs 3.2 times higher in the emptiest counties than in the biggest cities; every other method together runs 1.3 times higher. That ratio of gradients is 2.49 (2.22 to 2.79), and it is the same in boys (2.45) and in girls (2.45). What differs between the sexes is not how steeply either component climbs — boys against girls gives 1.03 for firearm and 1.03 for everything else, both intervals sitting on 1 — but how much of each sex’s deaths sit in the steep component: firearms are 47 to 69 per cent of boys’ suicides across the gradient and 18 to 36 per cent of girls’. Give rural children the big-city firearm rate and change nothing else and 87 per cent of the boys’ gap closes, and 64 per cent of the girls’. This is an ecological comparison of rates, not a claim about any individual death; means restriction is where that inference is best supported and it is still an inference. One firearm cell — small metro, girls, 2024 — is suppressed by CDC and taken here as 9, which is the largest it can be. It is one year of a seven-year pool and moves that pooled figure by under two per cent.

The denominators are modelled, and the modelling is the part to check. CDC publishes population for these categories only through 2021, four years against eight years of deaths. Rather than projecting each category's population forward — which would have carried the 2020/21 change of population vintage forward as though it were demography — each category's share of the classified population is projected and applied to the national person-time used elsewhere on this page. A share is invariant to a change of vintage, because numerator and denominator rescale together. The shares move about a tenth of a percentage point a year, in one direction, and a straight line through the four published years reproduces them with R² between 0.83 and 0.96 and reconstructs every published category population to within a third of one per cent. Figures from 2022 onward rest on that projection and are the least certain on this page.

The six categories account for 98.99% of the national population, stable to 0.016 of a percentage point across the published years; the remainder is children whose county CDC cannot classify. They are excluded here along with their 146 deaths, so the counts in this section sum to 22,206 rather than the national total.

Suicide method amongst American Children

Guns are the story here. Firearm suicides account for the majority of suicides in America, and without them, we would likely see the same rates (generally) as in Canada. 

Firearm46.1%10,302Suffocation38.3%8,545Poisoning8.1%1,806Falling or jumping fromheight3.0%679Other4.5%996pediatricsuicides.ca - Dr. Tyler R. Black
Firearm46.1%10,302Suffocation38.3%8,545Poisoning8.1%1,806Falling or jumping from height3.0%679Other4.5%996pediatricsuicides.ca - Dr. Tyler R. Black

Share of suicide deaths, ages 0–19, 2018–2025, with counts at the right.

Firearms account for 46.1% of suicide deaths among American children. The equivalent figure on the Canadian page is 12.1%. Two countries with comparable wealth, comparable health systems and comparable rates of adolescent depression differ by a factor of nearly four in how often a child's suicidal crisis ends in death by firearm. A firearm is the most lethal method available: the difference is not in how often children reach a crisis, it is in what is within reach when they do.

0123197019801990200020102024bothboysgirlsRate of firearm suicideper 100,000
0123198020002024bothboysgirlsRate of firearm suicideper 100,000
0%20%40%60%80%100%197019801990200020102024bothboysgirls% of suicides thatwere by firearm
0%20%40%60%80%100%198020002024bothboysgirls% of suicides thatwere by firearm

Firearm suicide rate per 100,000 per year, ages 0–19, 1968–2024. Girls purple, boys blue, both sexes black, each labelled at the end of its own line. The dotted rules mark changes of case definition: 1968–1978 counts ICD-8 E955, firearms and explosives, which is a wider category than the firearm mechanism of ICD-9 and ICD-10, so the line breaks there rather than running through. Denominators are the same smoothed, vintage-linked person-time every other rate on this page divides by, not the published estimate printed inside each extract.

The firearm rate in 2024 was 1.49 per 100,000 per year against 0.70 in 1968 — 112.6% higher. Over these eight years 10,302 American children aged 0–19 died by firearm suicide. Secure storage is the intervention with the strongest evidence base and the least controversy attached to it, and it is the one a story about these numbers can usefully name.

Show the numbers behind this view
MethodDeaths 2018–2025 Share
Firearm10,30246.1%
Suffocation8,54538.3%
Poisoning1,8068.1%
Falling or jumping from height6793.0%
Other9964.5%

Grouped to match the Canadian page so the two can be read against each other. 4 cells were suppressed by CDC for holding fewer than 10 deaths; they fall in categories totalling well under one per cent and are counted in neither the named groups nor the total, so the shares here are of 22,328 deaths with a published mechanism. No method is described beyond these categories, and none is ranked by lethality.

Race and ethnicity

The national rate is an average across groups whose rates differ by a factor of five.  It should be important to note that most national suicide prevention organizations completely neglect American Indigenous suicide, and claim that "white rates" are the highest. They are not.

American Indian or AlaskaNative12.18635Native Hawaiian or OtherPacific Islander4.4462White4.0112,901Black or African American3.152,841Asian2.60932Hispanic or Latino, any race2.484,209More than one race2.47738pediatricsuicides.ca - Dr. Tyler R. Black
American Indian or Alaska Native12.18635Native Hawaiian or Other Pacific Islander4.4462White4.0112,901Black or African American3.152,841Asian2.60932Hispanic or Latino, any race2.484,209More than one race2.47738pediatricsuicides.ca - Dr. Tyler R. Black

Suicide rate per 100,000 per year, ages 0–19, 2018–2025, with deaths at the right. The line through each bar is its 95% confidence interval. Race categories are non-Hispanic; Hispanic or Latino children of any race are counted in the final row.

American Indian and Alaska Native children die by suicide at 12.18 per 100,000 per year3.04× the rate for White children (95% CI 2.81–3.29), and nearly five times the lowest group on this chart. That is the same finding the Canadian page reports for First Nations and Inuit young people, in a different country with a different health system and a different data source. It is not a fact about being Indigenous; it is a fact about what was done to Indigenous communities on both sides of the border, and about what is and is not available to them now. Alaska is also the highest state on the map above, which is the same fact seen from another angle rather than a second one.

Show the numbers behind this view
GroupDeathsRate95% CI vs White95% CI
American Indian or Alaska Native63512.1811.25–13.163.04×2.81–3.29
Native Hawaiian or Other Pacific Islander624.443.40–5.691.11×0.86–1.42
White12,9014.013.94–4.081.00×0.98–1.02
Black or African American2,8413.153.04–3.270.79×0.76–0.82
Asian9322.602.44–2.780.65×0.61–0.69
Hispanic or Latino, any race4,2092.482.41–2.560.62×0.60–0.64
More than one race7382.472.30–2.660.62×0.57–0.66

Rates are crude, not age-standardised, and are computed from counts and population like everything else here. Groups are pooled across the whole period rather than shown by year: Native Hawaiian and Other Pacific Islander children account for 62 deaths across eight years, which cannot be split by year without falling below CDC's threshold of 10. Wide intervals on the smaller groups are the honest consequence of small numbers and should be read as such.

Human-reviewed8 September 2026review process vetting-v1

Every page on this site was looked at by me, one at a time, before it was published. This is exactly what that involved, and what it did not.

What I checked

  • The numbers, year by year: deaths and the population they are counted against, from the file the page is built from.
  • That the arithmetic agrees with itself. A rate equals its deaths over its person-time, every interval contains the rate it belongs to, the sexes add up to the combined figure, and no year appears twice or goes missing. These are checked by machine on every build, and I read what it reports.
  • The case definition and the age band, against what the source publishes, and whether either changes part-way through the series.
  • The source, its link and the date it was retrieved.
  • Every chart view the page offers, drawn, and read.
  • WHO's own grade for the country's cause-of-death data, where there is one, and whether the page reads more confidently than that grade allows.
  • The prose, against the numbers it describes.

What I did not

  • I did not re-obtain the primary source documents or re-key the data from them. Where a national statistics office publishes a figure, this site carries that figure.
  • This is not a re-analysis. I have not attempted to correct, adjust or model around a country's counting; I have shown what it published and said what I know about how it was counted.
  • Being reviewed does not mean a series is comparable with any other. It means I have looked at it and said what it is.

Automated checks ran over every page and I read their output. A language model was used on some pages to suggest things worth a second look; nothing it produced is published, and nothing it said stands as a finding on its own.

A review is a point in time. If the data behind a page changes afterwards, the page does not ship again until it has been looked at again — that rule is enforced when the site is deployed, not left to memory.

Struggling with suicide?

In the US and Canada, call or text 988 for the Suicide and Crisis Lifeline. The Trevor Project supports LGBTQ+ young people at 1-866-488-7386, or text START to 678-678.

In the United States, the 988 Suicide & Crisis Lifeline can be reached by call or text at 988. In Canada, 988 as well.

Disclaimer: The content on this website is provided for general informational and educational purposes only. It is not medical advice and is not a substitute for professional diagnosis, treatment, or care. Always seek the advice of a qualified health professional with any questions you may have regarding a medical or mental health condition. If you are in crisis or having thoughts of suicide, help is available now. Call or text 9-8-8 (Suicide Crisis Helpline — Canada & US, available 24/7), or go to your nearest emergency department. If you are in immediate danger, call 911.