Statistics
Missing persons & unsolved case statistics
Numbers behind 272,879 missing person, death by force, unidentified, unclaimed, serial killer and mass murder cases in the U.S. and Canada – by state, decade, age, sex, race and how many are solved. Free to read and link to; members get every breakdown, filters, sortable tables and CSV downloads.
How these numbers are counted
Cases
272,879
239,065 open · 32,112 solved / resolved
41,607
33,208 still missing · 20.2% located
188,212
167,268 unsolved · 11% solved
16,600
15,158 unidentified · 8.7% identified
25,005
23,431 unclaimed · 6.3% claimed
1,175
by the state where they killed
280
1,832 people killed
Possible matches
102,236
missing persons ↔ unidentified remains, 75%+
Added in the last 30 days
4,980
35,007 added or updated
States & provinces
68
with at least one case
Oldest open case
1651
Henry Stiles, Windsor, CT · unsolved
“Solved / resolved” means a missing person located, a death by force marked solved or charged, unidentified remains identified, or an unclaimed person claimed. Our homicide records focus on unsolved cases, so these shares are not police clearance rates – see the methodology .
Cases by type
41,607 33,208 still missing
188,212 167,268 unsolved
16,600 15,158 unidentified
25,005 23,431 unclaimed
1,175
280
By state By decade By age By sex By race Solve rates Matches Serial & mass Longest open Community Methodology
By state & province Cases per state and per 100,000 residents, a shaded state-by-state list, top cities, and Indigenous missing and murdered (MMIP) by state.
Shade by Cases Per 100k Open cases Solved / resolved %
United States
Canada
0
State / province Missing Missing per 100k Missing located % Deaths by Force Deaths by Force per 100k Deaths by Force solved % Unidentified Unidentified per 100k Unidentified identified % Unclaimed Unclaimed per 100k Unclaimed claimed % Serial killer profiles Mass murders All cases All per 100k California CA 5,486 13.88 8.9% 18,026 45.59 3.1% 3,117 7.88 4.4% 4,048 10.24 1.3% 177 37 30,891 78.13 Texas TX 3,985 13.67 21.9% 14,567 49.98 9.3% 2,190 7.51 7.9% 2,563 8.79 5.1% 76 29 23,410 80.32 New York NY 1,470 7.28 12% 5,277 26.12 5.4% 1,611 7.97 8.3% 8,868 43.90 8% 65 18 17,309 85.68 Florida FL 5,995 27.83 55.8% 9,119 42.34 8.9% 950 4.41 11.5% 238 1.11 8.4% 80 19 16,401 76.15 Illinois IL 699 5.46 17.5% 12,238 95.52 5% 466 3.64 12.4% 107 0.84 2.8% 59 11 13,580 105.99 Ohio OH 737 6.25 7.9% 9,864 83.60 8.5% 112 0.95 16.1% 207 1.75 2.4% 42 6 10,968 92.95 North Carolina NC 969 9.28 23.9% 7,756 74.30 5.2% 177 1.70 11.3% 51 0.49 0% 20 7 8,980 86.02 Georgia GA 637 5.95 11.8% 7,349 68.61 12.5% 286 2.67 11.2% 312 2.91 1.6% 25 8 8,617 80.44 Pennsylvania PA 713 5.48 14.7% 7,114 54.71 3.3% 387 2.98 6.2% 230 1.77 2.6% 31 11 8,486 65.26 Louisiana LA 623 13.38 11.6% 6,742 144.75 9.7% 149 3.20 3.4% 21 0.45 9.5% 28 4 7,567 162.46 Missouri MO 804 13.06 12.8% 6,472 105.15 4.4% 133 2.16 16.5% 45 0.73 0% 33 2 7,489 121.68 Alabama AL 383 7.62 8.9% 6,631 131.98 51.3% 72 1.43 13.9% 275 5.47 1.5% 20 2 7,383 146.95 Tennessee TN 1,339 19.38 26.7% 5,054 73.13 6.4% 127 1.84 18.1% 823 11.91 3.2% 16 4 7,363 106.54 Arizona AZ 1,443 20.18 12.5% 3,212 44.91 40.4% 2,234 31.24 6% 183 2.56 0.5% 14 4 7,090 99.14 Maryland MD 356 5.76 14.3% 6,267 101.45 6.8% 380 6.15 4.5% 3 0.05 0% 17 1 7,024 113.71 Virginia VA 1,117 12.94 8.7% 5,273 61.09 3.3% 343 3.97 4.7% 0 0 – 20 6 6,759 78.31 Michigan MI 731 7.25 13.3% 4,895 48.57 8.4% 353 3.50 7.4% 278 2.76 1.8% 35 9 6,301 62.53 Washington WA 1,153 14.96 9.5% 1,984 25.75 13.1% 214 2.78 21% 2,112 27.41 2.5% 28 9 5,500 71.38 Indiana IN 341 5.03 10.3% 4,933 72.70 7.9% 60 0.88 15% 59 0.87 0% 22 2 5,417 79.83 South Carolina SC 392 7.66 8.4% 4,616 90.18 6.4% 93 1.82 10.8% 160 3.13 0% 18 3 5,282 103.20 Oklahoma OK 1,068 26.97 39.5% 2,836 71.63 14.6% 128 3.23 14.8% 166 4.19 7.8% 16 4 4,218 106.53 Mississippi MS 263 8.88 7.6% 3,698 124.88 11.9% 73 2.47 13.7% 1 0.03 0% 7 5 4,047 136.66 New Jersey NJ 580 6.24 18.6% 2,576 27.73 4.9% 477 5.14 4.8% 212 2.28 2.8% 20 6 3,871 41.67 Kentucky KY 443 9.83 17.4% 3,310 73.46 9.6% 93 2.06 12.9% 3 0.07 0% 11 7 3,867 85.82 Colorado CO 517 8.95 20.1% 2,430 42.09 10.9% 110 1.91 17.3% 296 5.13 19.9% 12 13 3,378 58.51 District of Columbia DC 105 15.23 7.6% 2,748 398.52 7.8% 64 9.28 14.1% 361 52.35 7.8% 2 2 3,282 475.97 Arkansas AR 600 19.92 38.7% 2,359 78.33 19.5% 109 3.62 12.8% 21 0.70 4.8% 17 4 3,110 103.27 Wisconsin WI 291 4.94 13.7% 2,688 45.61 9.8% 57 0.97 17.5% 34 0.58 0% 15 6 3,091 52.45 Nevada NV 371 11.95 12.1% 1,958 63.07 15.2% 337 10.85 12.5% 403 12.98 1% 12 3 3,084 99.34 Massachusetts MA 326 4.64 7.7% 1,658 23.58 9.2% 214 3.04 7.9% 807 11.48 3% 18 1 3,024 43.02 Oregon OR 695 16.40 15.3% 1,572 37.10 11.2% 168 3.96 13.7% 71 1.68 1.4% 24 7 2,537 59.87 New Mexico NM 339 16.01 8.6% 1,569 74.10 20.2% 346 16.34 20.2% 13 0.61 15.4% 15 0 2,282 107.77 Alaska AK 1,584 215.98 15.7% 569 77.58 62.1% 72 9.82 23.6% 1 0.14 0% 9 3 2,238 305.16 Minnesota MN 248 4.35 5.6% 1,593 27.92 11.7% 62 1.09 14.5% 1 0.02 100% 8 2 1,914 33.54 Connecticut CT 297 8.24 23.6% 1,110 30.78 9.3% 49 1.36 18.4% 417 11.56 82.3% 12 4 1,889 52.39 Kansas KS 230 7.83 6.5% 1,423 48.44 10.1% 28 0.95 17.9% 82 2.79 2.4% 12 4 1,779 60.55 Hawaii HI 376 25.84 2.9% 201 13.81 53.8% 74 5.08 2.7% 652 44.80 6.7% 2 1 1,306 89.74 West Virginia WV 183 10.20 14.8% 791 44.10 10.8% 32 1.78 12.5% 68 3.79 0% 6 0 1,080 60.21 Iowa IA 138 4.33 9.4% 888 27.83 14.8% 21 0.66 28.6% 14 0.44 0% 6 2 1,069 33.51 Utah UT 193 5.90 11.9% 725 22.16 30.1% 59 1.80 16.9% 31 0.95 0% 6 1 1,015 31.02 Ontario ON 777 5.46 0.3% 99 0.70 49.5% 0 0 – 0 0 – 11 0 887 6.24 Idaho ID 172 9.35 6.4% 340 18.49 55.2% 26 1.41 19.2% 333 18.11 0.9% 3 3 877 47.69 Nebraska NE 168 8.56 12.5% 697 35.53 41.8% 5 0.25 0% 0 0 – 6 1 877 44.71 Puerto Rico PR 62 1.89 1.6% 0 0 – 386 11.75 16.8% 386 11.75 3.6% 1 0 835 25.41 Delaware DE 75 7.58 9.3% 631 63.74 37.3% 35 3.54 11.4% 17 1.72 0% 3 0 761 76.87 Maine ME 171 12.55 8.2% 470 34.50 67.8% 32 2.35 12.5% 1 0.07 0% 5 1 680 49.91 Montana MT 152 14.02 11.2% 367 33.85 60.9% 19 1.75 15.8% 0 0 – 5 2 545 50.27 Quebec QC 329 3.87 0% 75 0.88 48% 0 0 – 0 0 – 2 0 406 4.78 New Hampshire NH 81 5.88 17.3% 280 20.33 41.2% 12 0.87 16.7% 3 0.22 0% 5 2 383 27.80 British Columbia BC 262 5.24 0% 78 1.56 33.3% 0 0 – 0 0 – 6 1 347 6.94 Alberta AB 297 6.97 0% 31 0.73 9.7% 0 0 – 0 0 – 4 0 332 7.79 Rhode Island RI 48 4.37 16.7% 236 21.51 50.4% 26 2.37 3.8% 0 0 – 4 3 317 28.89 Wyoming WY 78 13.52 5.1% 175 30.34 63.2% 9 1.56 22.2% 28 4.85 10.7% 4 0 294 50.97 South Dakota SD 55 6.20 12.7% 215 24.25 67.1% 3 0.34 0% 0 0 – 1 0 274 30.90 Vermont VT 58 9.02 10.3% 201 31.26 47.7% 7 1.09 14.3% 0 0 – 1 0 267 41.52 Manitoba MB 196 14.60 0% 12 0.89 33.3% 0 0 – 0 0 – 1 0 209 15.57 North Dakota ND 48 6.16 6.3% 151 19.38 69.9% 4 0.51 50% 0 0 – 3 0 206 26.44 Saskatchewan SK 137 12.10 0% 13 1.15 23.1% 0 0 – 0 0 – 0 0 150 13.24 New Brunswick NB 71 9.15 0% 13 1.68 38.5% 0 0 – 0 0 – 1 0 85 10.96 Nova Scotia NS 34 3.51 0% 12 1.24 0% 0 0 – 0 0 – 0 0 46 4.75 U.S. Virgin Islands VI 37 42.46 0% 5 5.74 0% 2 2.29 0% 0 0 – 0 0 44 50.49 Newfoundland and Labrador NL 29 5.68 0% 2 0.39 0% 0 0 – 0 0 – 0 0 31 6.07 Yukon YT 8 19.88 0% 4 9.94 0% 0 0 – 0 0 – 0 0 12 29.83 Northwest Territories NT 11 26.78 0% 1 2.43 0% 0 0 – 0 0 – 0 0 12 29.22 Guam GU 4 2.60 0% 0 0 – 3 1.95 0% 0 0 – 0 0 7 4.55 Nunavut NU 5 13.57 0% 1 2.71 0% 0 0 – 0 0 – 0 0 6 16.28 Northern Mariana Islands MP 4 8.45 0% 0 0 – 0 0 – 0 0 – 0 0 4 8.45 Prince Edward Island PE 2 1.30 0% 1 0.65 0% 0 0 – 0 0 – 0 0 3 1.94
Per 100,000 residents: 2020 U.S. Census / 2021 Canadian Census populations. "%" columns are the share of that type's cases marked located / solved / identified / claimed.
City State Cases Open Solved / resolved Solved / resolved % Chicago IL 9,385 8,978 406 4.3% Houston TX 5,251 4,557 693 13.2% Baltimore MD 4,101 3,909 192 4.7% Bronx NY 3,702 3,435 267 7.2% Philadelphia PA 3,311 3,187 124 3.7% Los Angeles CA 3,256 3,089 167 5.1% Brooklyn NY 3,155 2,934 221 7% Washington DC 3,170 2,923 246 7.8% Dallas TX 3,404 2,882 522 15.3% Los-angeles CA 2,623 2,595 28 1.1% Detroit MI 2,708 2,508 200 7.4% Columbus OH 2,632 2,403 228 8.7% New York NY 2,631 2,379 252 9.6% Indianapolis IN 2,387 2,219 164 6.9% Memphis TN 2,292 2,098 194 8.5% Atlanta GA 2,059 1,900 159 7.7% Saint-louis MO 1,870 1,840 29 1.6% Queens NY 1,950 1,785 165 8.5% Milwaukee WI 1,929 1,747 181 9.4% Las Vegas NV 1,843 1,570 272 14.8% Louisville KY 1,675 1,543 130 7.8% Cincinnati OH 1,613 1,484 128 7.9% Cleveland OH 1,587 1,473 114 7.2% Birmingham AL 2,103 1,392 702 33.5% Phoenix AZ 1,873 1,349 513 27.6% Jacksonville FL 1,912 1,297 614 32.1% Charlotte NC 1,389 1,282 107 7.7% Miami FL 1,413 1,276 135 9.6% Oakland CA 1,266 1,217 49 3.9% New-orleans LA 1,242 1,180 62 5% Denver CO 1,354 1,174 180 13.3% Kansas-city MO 1,192 1,141 51 4.3% Richmond VA 1,151 1,115 36 3.1% Tulsa OK 1,247 997 250 20% Nashville TN 1,084 985 99 9.1% St. Louis MO 1,069 969 100 9.4% Knoxville TN 1,046 947 99 9.5% Boston MA 972 922 50 5.1% Pittsburgh PA 952 912 40 4.2% New Orleans LA 1,014 911 103 10.2%
State / province Missing Still missing Deaths by force Unsolved Unidentified / unclaimed Total Alaska 381 281 104 41 9 494 Arizona 114 96 38 25 28 180 New Mexico 89 80 22 21 26 137 Oklahoma 94 47 30 25 10 134 South Dakota 28 22 72 35 0 100 Manitoba 98 98 1 0 0 99 Alberta 95 95 2 2 0 97 Washington 72 60 13 13 11 96 British Columbia 71 71 8 7 0 79 California 51 44 8 8 16 75 Saskatchewan 64 64 0 0 0 64 Montana 27 25 29 16 1 57 Ontario 52 52 0 0 0 52 Minnesota 18 18 22 18 1 41 North Carolina 24 21 11 10 2 37 Oregon 18 15 7 7 3 28 Texas 17 13 3 3 5 25 Florida 15 10 3 2 0 18 Utah 5 5 13 12 0 18 Wisconsin 8 6 7 6 1 16 Wyoming 2 2 12 4 0 14 North Dakota 5 3 8 4 0 13 Idaho 6 6 5 2 1 12 Michigan 7 7 3 3 2 12 Colorado 6 6 2 2 3 11 Nevada 6 5 1 1 4 11 New York 5 5 3 2 3 11 Northwest Territories 9 9 0 0 0 9 Quebec 7 7 0 0 0 7 Nebraska 3 3 2 1 1 6 Missouri 2 2 2 2 1 5 Kansas 3 2 2 2 0 5 Maine 3 2 2 2 0 5 Nunavut 5 5 0 0 0 5 Tennessee 2 2 1 0 1 4 Mississippi 3 3 1 0 0 4 Iowa 2 2 1 0 1 4 Yukon 4 4 0 0 0 4 New Brunswick 4 4 0 0 0 4 Newfoundland and Labrador 4 4 0 0 0 4 Arkansas 2 1 0 0 1 3 Indiana 1 1 1 1 1 3 Hawaii 1 1 0 0 1 2 Pennsylvania 0 0 1 1 1 2 Virginia 1 1 0 0 0 1 South Carolina 1 1 0 0 0 1 Connecticut 1 0 0 0 0 1 Illinois 1 1 0 0 0 1 Nova Scotia 1 1 0 0 0 1 Louisiana 0 0 1 1 0 1 Ohio 0 0 1 1 0 1 New Jersey 0 0 0 0 1 1 Massachusetts 0 0 0 0 1 1 Delaware 0 0 0 0 1 1
By decade & year Cases by decade and year, the solved share by decade (the “cold case curve”), and seasonality by month and day of the week.
Cases by decade Stacked by case type.
Decade Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Missing located % Deaths by Force solved % Unidentified identified % Unclaimed claimed % Before 1900 0 260 0 0 55 0 – 13.8% – – 1900s 1 986 0 0 12 0 0% 5.5% – – 1910s 5 458 1 0 25 0 0% 11% 0% – 1920s 9 403 2 0 28 0 0% 12.5% 0% – 1930s 20 295 12 2 20 0 0% 14.6% 0% 0% 1940s 51 230 33 4 21 0 3.9% 17.8% 0% 25% 1950s 121 308 159 2 32 0 5% 15.6% 0.6% 0% 1960s 382 775 236 4 90 5 1.3% 9.4% 2.5% 25% 1970s 1,655 3,171 1,067 19 272 10 1.7% 6% 5.6% 0% 1980s 3,604 4,871 2,718 53 262 23 2.4% 7.2% 5.4% 1.9% 1990s 4,398 4,937 3,247 240 164 39 1.8% 5.9% 5.3% 2.1% 2000s 5,481 13,006 2,909 1,842 89 47 3.2% 4.8% 4.9% 0.4% 2010s 8,169 78,316 3,101 6,251 44 65 7.8% 6% 6.2% 1.4% 2020s 17,711 80,132 3,111 16,079 29 91 41.7% 17.7% 23% 9.1%
Decade of the date last seen (missing), date of death (deaths by force), date found (unidentified / unclaimed), first year active (serial killers) or date of the attack (mass murders).
Decade Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Missing located % Deaths by Force solved % Unidentified identified % Unclaimed claimed % Before 1900 0 260 0 0 55 0 – 13.8% – – 1900s 1 986 0 0 12 0 0% 5.5% – – 1910s 5 458 1 0 25 0 0% 11% 0% – 1920s 9 403 2 0 28 0 0% 12.5% 0% – 1930s 20 295 12 2 20 0 0% 14.6% 0% 0% 1940s 51 230 33 4 21 0 3.9% 17.8% 0% 25% 1950s 121 308 159 2 32 0 5% 15.6% 0.6% 0% 1960s 382 775 236 4 90 5 1.3% 9.4% 2.5% 25% 1970s 1,655 3,171 1,067 19 272 10 1.7% 6% 5.6% 0% 1980s 3,604 4,871 2,718 53 262 23 2.4% 7.2% 5.4% 1.9% 1990s 4,398 4,937 3,247 240 164 39 1.8% 5.9% 5.3% 2.1% 2000s 5,481 13,006 2,909 1,842 89 47 3.2% 4.8% 4.9% 0.4% 2010s 8,169 78,316 3,101 6,251 44 65 7.8% 6% 6.2% 1.4% 2020s 17,711 80,132 3,111 16,079 29 91 41.7% 17.7% 23% 9.1%
Decade of the date last seen (missing), date of death (deaths by force), date found (unidentified / unclaimed), first year active (serial killers) or date of the attack (mass murders).
Year Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders 1977 216 430 106 1 32 3 1978 220 462 171 1 32 1 1979 256 449 194 4 31 0 1980 278 542 218 5 29 3 1981 335 524 254 8 34 2 1982 336 538 230 3 19 3 1983 351 454 229 5 22 3 1984 378 484 242 3 28 4 1985 383 420 255 7 29 1 1986 415 504 286 2 37 1 1987 362 529 257 5 27 1 1988 352 434 384 7 18 3 1989 414 442 363 8 19 2 1990 357 445 368 18 22 1 1991 442 564 400 14 23 5 1992 408 550 302 18 21 4 1993 432 531 338 25 15 6 1994 451 506 346 20 11 2 1995 439 492 312 18 14 3 1996 472 439 269 35 17 2 1997 433 486 289 19 18 4 1998 472 447 336 29 8 4 1999 492 477 287 44 15 8 2000 467 714 271 35 11 5 2001 533 710 287 88 10 4 2002 472 763 299 128 10 1 2003 485 789 295 189 13 4 2004 530 909 277 173 4 7 2005 572 909 316 196 13 4 2006 613 1,175 305 258 7 6 2007 603 2,504 322 231 13 4 2008 610 2,348 264 267 6 5 2009 596 2,185 273 277 2 7 2010 601 2,549 248 189 5 4 2011 686 2,654 297 203 4 5 2012 609 2,802 340 206 5 6 2013 648 3,089 290 292 3 5 2014 616 9,540 342 423 2 3 2015 778 10,869 279 838 2 7 2016 893 12,699 288 884 5 4 2017 1,006 12,818 361 937 10 10 2018 1,114 10,542 343 1,080 4 11 2019 1,218 10,754 313 1,199 4 10 2020 1,251 12,991 394 2,050 9 5 2021 1,577 14,697 513 1,915 8 9 2022 1,883 13,707 533 2,214 8 11 2023 2,194 12,661 483 2,597 2 8 2024 4,059 11,126 564 2,648 2 3 2025 3,739 8,937 392 2,652 0 18 2026 3,008 6,013 232 2,003 0 37
Month Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Jan 3,732 15,538 1,407 2,363 0 17 Feb 3,033 13,014 1,273 2,127 0 24 Mar 3,501 14,390 1,361 2,228 0 30 Apr 3,331 15,184 1,437 2,285 0 17 May 3,784 16,285 1,426 1,984 0 22 Jun 3,646 16,318 1,401 1,908 0 19 Jul 3,895 17,909 1,496 2,039 0 25 Aug 3,572 16,880 1,381 1,967 0 33 Sep 3,230 16,093 1,368 1,737 0 20 Oct 3,229 16,037 1,446 1,761 0 27 Nov 3,290 14,888 1,306 1,917 0 24 Dec 3,364 15,326 1,294 2,180 0 22
Day Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Mon 6,212 26,186 2,484 3,784 0 45 Tue 5,809 23,994 2,452 3,652 0 39 Wed 5,671 23,948 2,354 3,524 0 43 Thu 6,124 23,658 2,325 3,620 0 32 Fri 6,519 25,390 2,320 3,514 0 44 Sat 5,713 31,504 2,316 3,240 0 33 Sun 5,555 32,913 2,345 3,162 0 44
By age Age groups for each case type, solved share by age, average ages and an age / sex pyramid.
Age Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % 0-12 1,793 16.2% 4,146 15.1% 249 4.8% 0 – 13-17 9,168 39.4% 11,951 12.6% 230 10.4% 0 – 18-24 5,440 11.3% 46,901 10.3% 1,351 7% 0 – 25-34 8,166 13.6% 52,960 10.1% 3,151 5.9% 0 – 35-49 9,119 15.2% 42,994 11.8% 4,076 7.3% 2 50% 50-64 5,357 17.6% 18,010 12% 2,733 8.2% 13 0% 65+ 2,563 17.4% 6,744 13.8% 845 8.2% 19 15.8% Unknown 1 100% 4,506 5.4% 3,965 13.5% 24,971 6.3%
Age when last seen (missing), age at death (deaths by force), middle of the estimated age range (unidentified), possible age (unclaimed).
Age Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % 0-12 1,793 16.2% 4,146 15.1% 249 4.8% 0 – 13-17 9,168 39.4% 11,951 12.6% 230 10.4% 0 – 18-24 5,440 11.3% 46,901 10.3% 1,351 7% 0 – 25-34 8,166 13.6% 52,960 10.1% 3,151 5.9% 0 – 35-49 9,119 15.2% 42,994 11.8% 4,076 7.3% 2 50% 50-64 5,357 17.6% 18,010 12% 2,733 8.2% 13 0% 65+ 2,563 17.4% 6,744 13.8% 845 8.2% 19 15.8% Unknown 1 100% 4,506 5.4% 3,965 13.5% 24,971 6.3%
Age when last seen (missing), age at death (deaths by force), middle of the estimated age range (unidentified), possible age (unclaimed).
Age Male Female Female % 0-12 3,358 2,783 45.3% 13-17 13,449 7,796 36.7% 18-24 43,166 10,262 19.2% 25-34 51,269 12,721 19.9% 35-49 43,087 12,839 23% 50-64 19,614 6,277 24.2% 65+ 6,590 3,543 35%
By sex Male / female split for each case type and solved share by sex.
Sex Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % Male 25,075 17.9% 149,007 10.2% 12,202 7.9% 18,937 6.4% Female 16,474 23.8% 38,275 14.2% 3,093 10.7% 5,013 7.3% Unknown 58 15.5% 930 5.6% 1,305 11% 1,055 0.1%
Sex Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % Male 25,075 17.9% 149,007 10.2% 12,202 7.9% 18,937 6.4% Female 16,474 23.8% 38,275 14.2% 3,093 10.7% 5,013 7.3% Unknown 58 15.5% 930 5.6% 1,305 11% 1,055 0.1%
By race & ethnicity Race and ethnicity compared with the U.S. population, and the solved share for each group.
Race / ethnicity Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % Share of these cases Share of U.S. population (2020) White 22,838 16.7% 41,514 14.7% 6,642 9.5% 11,627 7.1% 30.4% 57.8% Black 8,762 31.8% 96,512 9.7% 2,571 7.5% 5,319 7.6% 41.7% 12.1% Hispanic / Latino 6,302 20.1% 20,652 11.3% 2,692 7.3% 3,481 5.5% 12.2% 18.7% Asian 1,016 10.9% 1,765 10% 290 6.6% 842 4.8% 1.4% 5.9% American Indian / Alaska Native / First Nations 1,438 15.6% 442 36.5% 96 9.4% 41 12.2% 0.7% 0.7% Native Hawaiian / Pacific Islander 80 28.8% 120 54.2% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 310 16.8% 0 – 0 – 0.1% – Multiracial 60 13.3% 102 17.8% 0 – 0 – 0.1% 4.1% Other 311 21.2% 399 13.6% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 799 11.1% 26,396 9.2% 4,140 9.2% 3,440 3% 12.8% –
Race and ethnicity as recorded by the source (NamUs, police and news reports). U.S. population shares are from the 2020 Census (Hispanic of any race; the other groups are non-Hispanic, one race). Unidentified remains are often recorded as “uncertain”.
Race / ethnicity Missing Missing located % Deaths by Force Deaths by Force solved % Unidentified Unidentified identified % Unclaimed Unclaimed claimed % Share of these cases Share of U.S. population (2020) White 22,838 16.7% 41,514 14.7% 6,642 9.5% 11,627 7.1% 30.4% 57.8% Black 8,762 31.8% 96,512 9.7% 2,571 7.5% 5,319 7.6% 41.7% 12.1% Hispanic / Latino 6,302 20.1% 20,652 11.3% 2,692 7.3% 3,481 5.5% 12.2% 18.7% Asian 1,016 10.9% 1,765 10% 290 6.6% 842 4.8% 1.4% 5.9% American Indian / Alaska Native / First Nations 1,438 15.6% 442 36.5% 96 9.4% 41 12.2% 0.7% 0.7% Native Hawaiian / Pacific Islander 80 28.8% 120 54.2% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 310 16.8% 0 – 0 – 0.1% – Multiracial 60 13.3% 102 17.8% 0 – 0 – 0.1% 4.1% Other 311 21.2% 399 13.6% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 799 11.1% 26,396 9.2% 4,140 9.2% 3,440 3% 12.8% –
Race and ethnicity as recorded by the source (NamUs, police and news reports). U.S. population shares are from the 2020 Census (Hispanic of any race; the other groups are non-Hispanic, one race). Unidentified remains are often recorded as “uncertain”.
Solve rates & how long cases stay open Case status for deaths by force, how many years open cases have been open, and a state-by-decade solved-share heatmap.
Status Cases Share Unsolved 167,268 88.9% Solved 12,183 6.5% Charged / in court 6,313 3.4% Primary suspect deceased 1,929 1% Substantiated 272 0.1% Ruled accidental 224 0.1% Ruled self-inflicted 23 0%
Open for Still missing Unsolved Unidentified Unclaimed Under 1 year 1,912 5,525 169 1,727 1-4 years 6,103 35,169 1,430 9,034 5-9 years 5,271 56,949 1,725 7,028 10-19 years 6,310 48,377 2,804 3,759 20-29 years 4,933 7,022 2,791 1,149 30-49 years 7,160 9,149 5,238 203 50+ years 1,519 5,020 1,001 23
State 1950s 1960s 1970s 1980s 1990s 2000s 2010s 2020s AB 3 2 0 2 0 0 AK 17 5 9 4 4 42 59 AL 58 63 51 35 30 30 51 46 AR 7 18 13 8 9 8 12 36 AZ 6 3 7 8 6 3 23 36 BC 0 0 23 2 9 4 5 CA 6 5 2 4 3 1 2 9 CO 0 4 2 4 4 8 24 CT 0 0 0 5 4 10 7 47 DC 3 8 6 2 5 11 DE 8 25 10 13 45 29 FL 0 2 5 5 4 6 3 51 GA 7 0 1 3 2 2 2 22 HI 5 8 13 3 11 18 IA 0 3 3 2 2 11 25 ID 16 23 20 19 29 21 IL 9 5 2 6 4 4 2 12 IN 6 5 6 7 3 2 15 KS 4 2 2 3 1 18 KY 0 0 4 5 3 5 18 LA 0 3 1 0 2 4 18 MA 4 4 2 3 3 2 15 MB 0 0 0 0 0 0 19 MD 0 0 9 2 3 1 2 15 ME 0 2 6 34 64 70 65 MI 0 1 3 2 6 3 20 MN 7 0 4 4 4 2 21 MO 0 13 6 8 6 2 3 9 MS 5 4 2 4 2 4 18 MT 20 27 33 30 52 48 NB 0 29 0 0 NC 5 7 5 1 3 2 13 ND 11 69 60 NE 3 5 3 3 41 51 NH 8 6 11 30 54 53 NJ 0 10 5 5 1 3 1 15 NM 12 4 8 7 9 31 NS 0 0 NV 7 2 8 11 8 20 NY 14 2 5 2 4 4 2 11 OH 13 1 1 3 1 3 2 18 OK 7 10 7 16 9 36 ON 21 3 8 1 3 1 11 15 OR 23 8 4 2 2 3 27 PA 0 2 3 1 3 1 2 9 PR 0 5 17 6 QC 55 14 20 5 0 0 0 RI 0 12 18 33 61 45 SC 0 6 8 4 2 1 11 SD 17 0 75 58 SK 0 0 14 0 0 0 TN 0 5 7 4 5 3 16 TX 6 2 3 4 3 5 4 18 UT 0 0 10 11 6 14 22 40 VA 2 0 4 4 4 2 1 8 VI 0 0 VT 20 17 10 31 48 52 WA 15 13 3 8 6 3 2 16 WI 8 0 10 4 7 5 3 18 WV 9 11 6 0 6 2 23 WY 33 11 6 7 59 39
<2% 2–5 5–10 10–20 20–35 35–50 50%+ fewer than 10 cases
Rewards offered 1,383 deaths by force cases list a reward, and 1,214 of them are still unsolved.
Possible matches Possible missing person / unidentified remains matches by score.
Match score Possible matches 90% and higher 13 85–89% 1,588 80–84% 26,621 75–79% 74,014
Serial killers & mass murders Serial killers by victims and decade; mass murders by year, place, firearms, attacker and victims.
Victims Profiles 3 or fewer 429 4-5 406 6-9 232 10-19 85 20+ 23
Decade Profiles Before 1900 55 1900s 12 1910s 25 1920s 28 1930s 20 1940s 21 1950s 32 1960s 90 1970s 272 1980s 262 1990s 164 2000s 89 2010s 44 2020s 29
Group Profiles Share Sex: Male 1,028 87.5% Sex: Unknown 52 4.4% Sex: Female 95 8.1% Race: Black 318 27.1% Race: White 674 57.4% Race: Middle Eastern 1 0.1% Race: Hispanic / Latino 50 4.3% Race: Unknown / not recorded 113 9.6% Race: Multiracial 4 0.3% Race: American Indian / Alaska Native / First Nations 6 0.5% Race: Asian 6 0.5% Race: Other 3 0.3%
Year Incidents Killed Injured 1966 2 20 33 1967 1 6 6 1968 1 7 2 1969 1 4 17 1970 1 4 0 1971 0 0 0 1972 2 10 14 1973 1 7 9 1974 0 0 0 1975 1 5 1 1976 1 7 2 1977 3 17 7 1978 1 4 0 1979 0 0 0 1980 3 14 15 1981 2 9 23 1982 3 18 8 1983 3 16 3 1984 4 40 22 1985 1 4 2 1986 1 14 6 1987 1 6 14 1988 3 15 11 1989 2 14 44 1990 1 11 6 1991 5 40 33 1992 4 18 12 1993 6 30 41 1994 2 9 23 1995 3 14 3 1996 2 10 4 1997 4 16 9 1998 4 18 46 1999 8 67 74 2000 5 26 6 2001 4 17 9 2002 1 4 5 2003 4 20 9 2004 7 39 7 2005 4 24 16 2006 6 37 10 2007 4 49 40 2008 5 26 27 2009 7 51 39 2010 4 21 7 2011 5 29 23 2012 6 63 81 2013 5 31 13 2014 3 14 19 2015 7 61 53 2016 4 65 81 2017 10 124 950 2018 11 84 64 2019 10 77 103 2020 5 24 2 2021 9 59 21 2022 11 76 103 2023 8 64 45 2024 3 12 20 2025 18 76 5 2026 37 185 29
Year Incidents Killed Injured 1966 2 20 33 1967 1 6 6 1968 1 7 2 1969 1 4 17 1970 1 4 0 1971 0 0 0 1972 2 10 14 1973 1 7 9 1974 0 0 0 1975 1 5 1 1976 1 7 2 1977 3 17 7 1978 1 4 0 1979 0 0 0 1980 3 14 15 1981 2 9 23 1982 3 18 8 1983 3 16 3 1984 4 40 22 1985 1 4 2 1986 1 14 6 1987 1 6 14 1988 3 15 11 1989 2 14 44 1990 1 11 6 1991 5 40 33 1992 4 18 12 1993 6 30 41 1994 2 9 23 1995 3 14 3 1996 2 10 4 1997 4 16 9 1998 4 18 46 1999 8 67 74 2000 5 26 6 2001 4 17 9 2002 1 4 5 2003 4 20 9 2004 7 39 7 2005 4 24 16 2006 6 37 10 2007 4 49 40 2008 5 26 27 2009 7 51 39 2010 4 21 7 2011 5 29 23 2012 6 63 81 2013 5 31 13 2014 3 14 19 2015 7 61 53 2016 4 65 81 2017 10 124 950 2018 11 84 64 2019 10 77 103 2020 5 24 2 2021 9 59 21 2022 11 76 103 2023 8 64 45 2024 3 12 20 2025 18 76 5 2026 37 185 29
Place Incidents Killed Not recorded 70 341 Retail / grocery / mall 38 255 Restaurant / bar / nightclub 28 221 Office / workplace 28 162 Factory / warehouse / plant 25 146 Outdoors / street / park 19 156 K-12 school 18 163 Home / residence 16 89 House of worship 12 91 Government / military 12 90 College / university 10 95 Other 4 23
Type Firearms Handgun 248 Assault weapon 103 Shotgun 50 Rifle 49 Not recorded 9
Group Incidents Share Sex: Male 205 73.2% Sex: Female 4 1.4% Sex: Unknown 71 25.4% Race: White 109 38.9% Race: Black 44 15.7% Race: Asian 13 4.6% Race: Unknown / not recorded 77 27.5% Race: Hispanic / Latino 24 8.6% Race: Middle Eastern 9 3.2% Race: American Indian / Alaska Native / First Nations 4 1.4% Age: 0-12 1 0.4% Age: 13-17 10 3.6% Age: 18-24 52 18.6% Age: 25-34 56 20% Age: 35-49 69 24.6% Age: 50-64 19 6.8% Age: 65+ 4 1.4% Age: Unknown 69 24.6% Setting: Urban 105 – Setting: Rural 48 – Setting: Suburban 49 – Setting: Not recorded 78 –
Relationship Victims No known relationship 793 Not recorded 363 Coworker / work-related 274 Other acquaintance 154 Classmate / school-related 136 Family member 31 Romantic partner / ex 29
Longest-open cases The oldest unsolved, missing, unidentified and unclaimed cases, linked to each case file.
Name Place Date Years Age Sex Elijah Cravens Okmulgee, OK Jan 1902 124 30 Male Dorothy Harriet Camille Arnold Manhattan, NY Dec 1910 116 25 Female Robert Dunbar Opelousas, LA Aug 1912 114 4 Male Noel Davis Reno, NV Nov 1915 111 16 Male John Gates Longmont, CO Apr 1916 110 33 Male Ambrose Small Toronto, ON Dec 1919 107 53 Male Sigmund Myers Portland, OR Jan 1920 106 44 Male Charles White Whittlesey New York, NY Nov 1921 105 37 Male Gerald Bartlett Davils Lake, ND Jul 1925 101 21 Male Marvin Clark Tigard, OR Oct 1926 100 69 Male William Gaffney Brooklyn, NY Feb 1927 99 4 Male Louis Lakin Gresham, OR Jan 1928 98 37 Male Bessie Louise Haley Hyde Arizona, AZ Nov 1928 98 22 Female Glen Rollin Hyde Arizona, AZ Nov 1928 98 29 Male Melvin Horst Orrville, OH Dec 1928 98 4 Male Joseph Force Crater Manhattan, NY Aug 1930 96 41 Male Opal Fulks Monticello, IN Mar 1931 95 22 Female John Oleary Boulder City, NV Jan 1933 93 34 Male Joseph Halpern Estes Park Vacini…, CO Aug 1933 93 22 Male Roy Frisch Reno, NV Mar 1934 92 46 Male Olga Mauger Dubois, WY Sep 1934 92 21 Female Everett Ruess Escalante, UT Nov 1934 92 20 Male Anker Ljunggren Craven, SK Oct 1935 91 29 Male Eetu Vainonen the Thunder Bay…, ON Nov 1935 91 30 Male Joseph Rodriguez Manhattan, NY Sep 1936 90 4 Male
Name Place Date Years Age Sex Henry Stiles Windsor, CT Nov 1651 375 58 Male Elaine Davis Santa Cruz, CA Dec 1696 330 17 Female Crispus Attucks Boston, MA Mar 1770 256 47 Male Bartley Clay Lake Shawnee, WV Aug 1783 243 17 Male Cornelius Hogeboom Columbia, NY Oct 1791 235 53 Male Isaac Smith West-farms, NY May 1792 234 – Male Marshal Robert Forsyth Saint-elmo, GA Jan 1796 230 40 Male Robert Berwick Manhattan, NY Jun 1797 229 – Male Robert Maxwell Piedmont, SC Nov 1797 229 45 Male Alexander Hamilton Weehawken, NJ Jul 1804 222 49 Male John H. Barclay Wilkes-county, GA Mar 1806 220 38 Male King Payne Brooksville, FL Sep 1812 214 – Male David Ramsay Charleston, SC May 1815 211 66 Male William Davidson Scrubgrass-townsh…, PA Apr 1825 201 56 Male Catherine Muckeroy Dauphin County, PA 1830 196 9 Female Francis Langhorne Dade Bushnell, FL Dec 1835 191 43 Male Wiley Thompson Fort-king, FL Dec 1835 191 54 Male Elizabeth McCollan Heller Liberty, IN Feb 1836 190 – Female John Wesley Heller Liberty, IN Feb 1836 190 – Male Sarah Heller Liberty, IN Feb 1836 190 – Female Mary Heller Liberty, IN Feb 1836 190 – Female Davy Crockett San-antonio, TX Mar 1836 190 49 Male Elijah Parish Lovejoy Alton, IL Nov 1837 189 34 Male Henry Perrine Indian-key, FL Aug 1840 186 43 Male John Motte Indian-key, FL Aug 1840 186 – Male
Name Place Date Years Age Sex Unidentified Male Colton, CA May 1915 111 50 Male Unidentified Male Des Moines, IA Jan 1924 102 – Male Unidentified Male San Bernardino, CA Mar 1927 99 40 Male Unidentified Male Rothschild, WI Sep 1930 96 42 Male Unidentified Male Verdamont (San Be…, CA Oct 1930 96 60 Male Unidentified Male UT Aug 1934 92 – Male Unidentified Female Middlebury, VT May 1935 91 40 Female Unidentified Person Middlebury, VT May 1935 91 14 Unknown Unidentified Person Middlebury, VT May 1935 91 10 Unknown Unidentified Male Box Elder, UT Oct 1935 91 35 Male Unidentified Male Parker Dam, CA Feb 1936 90 60 Male Unidentified Male Indio, CA May 1936 90 – Male Unidentified Male Albert Lea, MN Jul 1938 88 33 Male Unidentified Male UT Jan 1939 87 63 Male Unidentified Male UT Aug 1939 87 30 Male Unidentified Male Nephi, UT Apr 1941 85 68 Male Unidentified Male Springfield, MO Mar 1943 83 30 Male Unidentified Female Hartford, CT Jul 1944 82 9 Female Unidentified Female Hartford, CT Jul 1944 82 35 Female Unidentified Male Hartford, CT Jul 1944 82 58 Male Unidentified Male Hartford, CT Jul 1944 82 11 Male Unidentified Female Hartford, CT Jul 1944 82 35 Female Unidentified Male Davis County, UT Sep 1944 82 65 Male Unidentified Female IN Nov 1945 81 – Female Unidentified Male Easttown Township, PA Dec 1945 81 – Male
Name Place Date Years Age Sex Elizabeth Zabala CA Jul 1938 88 – Unknown Ellen Crane Ellensburg, WA Dec 1939 87 – Female Donald Siliva Spokane, WA Dec 1940 86 – Male William Cowie Adelanto, CA May 1942 84 – Unknown Darinda Smith Reno, NV Aug 1947 79 – Female James Griffin Reno, NV Jan 1953 73 – Male Marge Mazari Sparks, NV Mar 1957 69 – Female Ruth Allen Pantego, NC Apr 1960 66 – Female Walter Jorgensen Ellensburg, WA Feb 1965 61 – Male John Grenko Cle Elum, WA Dec 1969 57 – Male James Bell Yakima, WA Mar 1970 56 – Male Thaddeus Rants Wapato, WA Apr 1970 56 – Male Ernest Brooks Alexandria, LA May 1970 56 – Male Clara Millsap White Swan, WA Nov 1970 56 – Female Douglas Sumner Boulder, CO Aug 1971 55 – Male Carol Yarbrough Prescott, MI Jan 1972 54 – Female Frank Palmer Yakima, WA Dec 1972 54 – Male Leonard Pearson, Jr. Fort Myers, FL May 1973 53 – Male Tee Kee Seah NV Jun 1973 53 – Male Borgaro Peralta Truckee, CA Sep 1974 52 – Male John Jaramillo Oakland, CA Jan 1975 51 – Male Robert Secrest Long Beach, CA Mar 1976 50 – Male Norton Secore, Jr. Milwaukee, WI Sep 1976 50 – Male Leroy Johnson Ellensburg, WA Mar 1977 49 – Male Edna Edwards OR Mar 1978 48 – Female
Methodology & how to cite These statistics count the cases in the Crime Solvers Central database as of November 6, 2026. They are rebuilt every night.
What is counted
Missing persons – NamUs, NCMEC and Canadian police cases. “Located” means the case is marked resolved (found alive or deceased). Age is the age when last seen.Deaths by force – homicides and other violent deaths from police, news, court and public records. “Solved” includes cases marked solved, charged / in court, primary suspect deceased or substantiated. Deaths ruled accidental or self-inflicted are counted but left out of solved shares.Unidentified remains and unclaimed persons – NamUs cases. Unidentified ages use the middle of the medical examiner’s estimated range.Serial killer profiles are placed in the state where they killed and the first year they were active; victims are the confirmed victims listed on the profile. Mass murders are incidents, dated by the attack; attacker and firearm details come from The Violence Project coding where available.Race and ethnicity are as recorded by the source and grouped into broad categories; “Multiracial” is used when more than one is listed.
Per-100,000 rates use 2020 U.S. Census and 2021 Canadian Census populations.
Limits
This is not a complete count of all crime. Our homicide records lean heavily toward unsolved cases, so the solved share is much lower than official police clearance rates and should not be reported as one.
Coverage differs by state and by year: some cities and states have been imported in full, others only partly, and recent years include many newly added cases.
Cases without a date, age, state or race are left out of that breakdown only (they still count in the totals).
How to cite
Crime Solvers Central. “Missing Persons & Unsolved Case Statistics.” Data as of November 6, 2026. https://crimesolverscentral.com/statistics
You’re welcome to link to this page or to any state’s page (for example /statistics/texas ). Each chart’s Cite button copies a citation that links straight to that chart.
