Statistics
Missing persons & unsolved case statistics
Numbers behind 273,091 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
273,091
241,250 open · 30,216 solved / resolved
41,608
33,216 still missing · 20.2% located
188,692
169,427 unsolved · 10% solved
16,600
15,158 unidentified · 8.7% identified
25,006
23,449 unclaimed · 6.2% claimed
916
by the state where they killed
269
1,776 people killed
Possible matches
102,241
missing persons ↔ unidentified remains, 75%+
Added in the last 30 days
3,960
42,119 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
41,608 33,216 still missing
188,692 169,427 unsolved
16,600 15,158 unidentified
25,006 23,449 unclaimed
916
269
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% 18,176 45.97 2.3% 3,117 7.88 4.4% 4,048 10.24 1.2% 144 36 31,007 78.42 Texas TX 3,986 13.68 21.9% 14,612 50.13 7.9% 2,190 7.51 7.9% 2,563 8.79 4.9% 64 28 23,443 80.43 New York NY 1,470 7.28 12% 5,304 26.26 3.9% 1,611 7.97 8.3% 8,869 43.90 8% 52 16 17,322 85.75 Florida FL 5,995 27.83 55.8% 9,123 42.36 7.7% 950 4.41 11.5% 238 1.11 8% 54 19 16,379 76.05 Illinois IL 699 5.46 17.5% 12,233 95.48 4.5% 466 3.64 12.4% 107 0.84 2.8% 51 10 13,566 105.88 Ohio OH 737 6.25 7.9% 9,900 83.90 7.8% 112 0.95 16.1% 207 1.75 2.4% 36 6 10,998 93.21 North Carolina NC 969 9.28 23.8% 7,792 74.64 3.9% 177 1.70 11.3% 51 0.49 0% 16 7 9,012 86.33 Georgia GA 637 5.95 11.8% 7,356 68.67 11.7% 286 2.67 11.2% 312 2.91 1.6% 21 7 8,619 80.46 Pennsylvania PA 713 5.48 14.6% 7,144 54.94 2.4% 387 2.98 6.2% 230 1.77 2.6% 25 10 8,509 65.44 Louisiana LA 623 13.38 11.6% 6,725 144.38 9.3% 149 3.20 3.4% 21 0.45 9.5% 21 4 7,543 161.94 Missouri MO 804 13.06 12.8% 6,506 105.70 3.4% 133 2.16 16.5% 45 0.73 0% 26 2 7,516 122.11 Alabama AL 383 7.62 8.9% 6,644 132.24 50.7% 72 1.43 13.9% 275 5.47 1.5% 15 2 7,391 147.11 Tennessee TN 1,339 19.38 26.7% 5,069 73.35 5.2% 127 1.84 18.1% 823 11.91 3.2% 13 4 7,375 106.72 Arizona AZ 1,443 20.18 12.5% 3,242 45.33 39.6% 2,234 31.24 6% 183 2.56 0.5% 11 4 7,117 99.52 Maryland MD 356 5.76 14.3% 6,272 101.53 6.4% 380 6.15 4.5% 3 0.05 0% 13 1 7,025 113.72 Virginia VA 1,117 12.94 8.7% 5,289 61.28 2.7% 343 3.97 4.7% 0 0 – 14 6 6,769 78.42 Michigan MI 731 7.25 13.3% 4,930 48.92 7.4% 353 3.50 7.4% 278 2.76 1.8% 28 9 6,329 62.80 Washington WA 1,153 14.96 9.5% 1,979 25.68 11.3% 214 2.78 21% 2,112 27.41 2.5% 17 9 5,484 71.17 Indiana IN 341 5.03 10.3% 4,959 73.08 7.2% 60 0.88 15% 59 0.87 0% 18 2 5,439 80.16 South Carolina SC 392 7.66 8.2% 4,631 90.48 4.8% 93 1.82 10.8% 160 3.13 0% 14 3 5,293 103.41 Oklahoma OK 1,068 26.97 39.5% 2,827 71.40 13.3% 128 3.23 14.8% 166 4.19 7.8% 9 4 4,202 106.13 Mississippi MS 263 8.88 7.6% 3,716 125.49 11.3% 73 2.47 13.7% 1 0.03 0% 4 5 4,062 137.17 Kentucky KY 443 9.83 17.4% 3,323 73.75 9% 93 2.06 12.9% 3 0.07 0% 7 7 3,876 86.02 New Jersey NJ 580 6.24 18.6% 2,581 27.79 3.7% 477 5.14 4.8% 212 2.28 2.4% 17 6 3,873 41.69 Colorado CO 517 8.95 20.1% 2,445 42.35 9.8% 110 1.91 17.3% 296 5.13 19.9% 10 13 3,391 58.73 District of Columbia DC 105 15.23 7.6% 2,745 398.09 7.1% 64 9.28 14.1% 361 52.35 7.8% 0 2 3,277 475.24 Nevada NV 371 11.95 12.1% 1,982 63.84 13.9% 337 10.85 12.5% 403 12.98 1% 11 3 3,107 100.08 Arkansas AR 600 19.92 38.7% 2,357 78.27 18% 109 3.62 12.8% 21 0.70 4.8% 12 4 3,103 103.04 Wisconsin WI 291 4.94 13.7% 2,698 45.78 9.4% 57 0.97 17.5% 34 0.58 0% 14 6 3,100 52.60 Massachusetts MA 326 4.64 7.7% 1,653 23.51 7.9% 214 3.04 7.9% 807 11.48 3% 14 1 3,015 42.89 Oregon OR 695 16.40 15.3% 1,567 36.98 9.4% 168 3.96 13.7% 71 1.68 1.4% 18 5 2,524 59.57 New Mexico NM 339 16.01 8.3% 1,572 74.24 18.7% 346 16.34 20.2% 13 0.61 15.4% 11 0 2,281 107.72 Alaska AK 1,584 215.98 15.7% 579 78.95 61.6% 72 9.82 23.6% 1 0.14 0% 8 3 2,247 306.38 Minnesota MN 248 4.35 5.6% 1,603 28.09 10.9% 62 1.09 14.5% 1 0.02 100% 7 2 1,923 33.70 Connecticut CT 297 8.24 23.6% 1,125 31.20 8.4% 49 1.36 18.4% 417 11.56 82.3% 12 4 1,904 52.80 Kansas KS 230 7.83 6.5% 1,439 48.98 8.9% 28 0.95 17.9% 82 2.79 2.4% 12 4 1,795 61.10 Hawaii HI 376 25.84 2.9% 204 14.02 53.4% 74 5.08 2.7% 652 44.80 6.7% 1 1 1,308 89.88 West Virginia WV 183 10.20 14.8% 788 43.93 8.9% 32 1.78 12.5% 68 3.79 0% 3 0 1,074 59.88 Iowa IA 138 4.33 9.4% 895 28.05 14.4% 21 0.66 28.6% 14 0.44 0% 4 2 1,074 33.66 Utah UT 193 5.90 11.9% 726 22.19 29.6% 59 1.80 16.9% 31 0.95 0% 5 1 1,015 31.02 Idaho ID 172 9.35 6.4% 345 18.76 54.5% 26 1.41 19.2% 333 18.11 0.9% 3 3 882 47.96 Nebraska NE 168 8.56 12.5% 702 35.79 41.2% 5 0.25 0% 0 0 – 5 1 881 44.91 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 Ontario ON 777 5.46 0.3% 44 0.31 0% 0 0 – 0 0 – 0 0 821 5.77 Delaware DE 75 7.58 9.3% 628 63.44 36.7% 35 3.54 11.4% 17 1.72 0% 2 0 757 76.47 Maine ME 171 12.55 8.2% 478 35.09 67.2% 32 2.35 12.5% 1 0.07 0% 4 1 687 50.43 Montana MT 152 14.02 11.2% 352 32.47 58.1% 19 1.75 15.8% 0 0 – 4 1 528 48.70 New Hampshire NH 81 5.88 17.3% 286 20.76 40.4% 12 0.87 16.7% 3 0.22 0% 4 2 388 28.17 Quebec QC 329 3.87 0% 39 0.46 0% 0 0 – 0 0 – 0 0 368 4.33 Alberta AB 297 6.97 0% 23 0.54 0% 0 0 – 0 0 – 1 0 321 7.53 Rhode Island RI 48 4.37 16.7% 233 21.23 48.7% 26 2.37 3.8% 0 0 – 2 3 312 28.43 Wyoming WY 78 13.52 5.1% 181 31.38 61.5% 9 1.56 22.2% 28 4.85 10.7% 3 0 299 51.83 British Columbia BC 262 5.24 0% 30 0.60 0% 0 0 – 0 0 – 1 0 293 5.86 South Dakota SD 55 6.20 12.7% 216 24.36 66.8% 3 0.34 0% 0 0 – 1 0 275 31.02 Vermont VT 58 9.02 10.3% 209 32.50 46.8% 7 1.09 14.3% 0 0 – 1 0 275 42.76 North Dakota ND 48 6.16 6.3% 153 19.64 68.7% 4 0.51 50% 0 0 – 1 0 206 26.44 Manitoba MB 196 14.60 0% 8 0.60 0% 0 0 – 0 0 – 0 0 204 15.20 Saskatchewan SK 137 12.10 0% 10 0.88 0% 0 0 – 0 0 – 0 0 147 12.98 New Brunswick NB 71 9.15 0% 8 1.03 0% 0 0 – 0 0 – 0 0 79 10.19 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 9,348 8,978 368 3.9% Houston TX 5,267 4,616 649 12.3% Baltimore MD 4,104 3,917 187 4.6% Bronx NY 3,705 3,454 251 6.8% Philadelphia PA 3,322 3,224 98 3% Los Angeles CA 3,342 3,192 150 4.5% Brooklyn NY 3,157 2,948 209 6.6% Washington DC 3,167 2,937 228 7.2% Dallas TX 3,398 2,911 486 14.3% Los-angeles CA 2,639 2,616 23 0.9% Detroit MI 2,728 2,554 173 6.3% Columbus OH 2,637 2,424 212 8% New York NY 2,609 2,379 230 8.8% Indianapolis IN 2,390 2,226 159 6.7% Memphis TN 2,291 2,122 169 7.4% Atlanta GA 2,054 1,906 148 7.2% Saint-louis MO 1,895 1,865 28 1.5% Queens NY 1,956 1,799 157 8% Milwaukee WI 1,927 1,751 175 9.1% Las Vegas NV 1,859 1,599 253 13.7% Louisville KY 1,676 1,553 121 7.2% Cincinnati OH 1,614 1,500 113 7% Cleveland OH 1,592 1,484 106 6.7% Birmingham AL 2,106 1,401 692 33.1% Phoenix AZ 1,884 1,359 508 27.2% Charlotte NC 1,397 1,311 84 6% Jacksonville FL 1,910 1,299 610 32% Miami FL 1,417 1,286 129 9.1% Oakland CA 1,263 1,224 39 3.1% Denver CO 1,358 1,186 172 12.7% New-orleans LA 1,245 1,186 59 4.7% Kansas-city MO 1,194 1,155 39 3.3% Richmond VA 1,149 1,125 24 2.1% Tulsa OK 1,243 1,004 239 19.2% Nashville TN 1,085 999 86 7.9% St. Louis MO 1,072 980 92 8.6% Knoxville TN 1,047 950 97 9.3% Boston MA 971 928 43 4.4% Pittsburgh PA 955 922 33 3.5% San-antonio TX 977 913 64 6.6%
State / province Missing Still missing Deaths by force Unsolved Unidentified / unclaimed Total Alaska 381 281 105 41 9 495 Arizona 114 96 36 25 28 178 New Mexico 89 80 22 21 26 137 Oklahoma 94 47 30 26 10 134 South Dakota 28 22 72 35 0 100 Manitoba 98 98 0 0 0 98 Washington 72 60 13 13 11 96 Alberta 95 95 0 0 0 95 California 51 44 8 8 16 75 British Columbia 71 71 0 0 0 71 Saskatchewan 64 64 0 0 0 64 Montana 27 25 29 16 1 57 Ontario 52 52 0 0 0 52 Minnesota 18 18 20 17 1 39 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 6 2 1 13 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 0 239 0 0 49 0 – 9.6% – – 1900s 1 986 0 0 11 0 0% 5.5% – – 1910s 5 427 1 0 22 0 0% 11.6% 0% – 1920s 9 382 2 0 23 0 0% 7.4% 0% – 1930s 20 284 12 2 14 0 0% 10.6% 0% 0% 1940s 51 206 33 4 16 0 3.9% 9.2% 0% 25% 1950s 121 283 159 2 23 0 5% 8.1% 0.6% 0% 1960s 382 734 236 4 67 5 1.3% 5.2% 2.5% 25% 1970s 1,655 3,050 1,067 19 221 10 1.7% 2.6% 5.6% 0% 1980s 3,604 4,663 2,718 53 197 23 2.4% 3.3% 5.4% 1.9% 1990s 4,398 4,807 3,247 240 122 39 1.8% 3.4% 5.3% 2.1% 2000s 5,481 12,914 2,909 1,842 66 46 3.2% 4.1% 4.9% 0.4% 2010s 8,170 79,104 3,101 6,251 34 64 7.8% 5.7% 6.2% 1.4% 2020s 17,711 80,549 3,111 16,080 19 82 41.6% 16.3% 23% 9%
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 0 239 0 0 49 0 – 9.6% – – 1900s 1 986 0 0 11 0 0% 5.5% – – 1910s 5 427 1 0 22 0 0% 11.6% 0% – 1920s 9 382 2 0 23 0 0% 7.4% 0% – 1930s 20 284 12 2 14 0 0% 10.6% 0% 0% 1940s 51 206 33 4 16 0 3.9% 9.2% 0% 25% 1950s 121 283 159 2 23 0 5% 8.1% 0.6% 0% 1960s 382 734 236 4 67 5 1.3% 5.2% 2.5% 25% 1970s 1,655 3,050 1,067 19 221 10 1.7% 2.6% 5.6% 0% 1980s 3,604 4,663 2,718 53 197 23 2.4% 3.3% 5.4% 1.9% 1990s 4,398 4,807 3,247 240 122 39 1.8% 3.4% 5.3% 2.1% 2000s 5,481 12,914 2,909 1,842 66 46 3.2% 4.1% 4.9% 0.4% 2010s 8,170 79,104 3,101 6,251 34 64 7.8% 5.7% 6.2% 1.4% 2020s 17,711 80,549 3,111 16,080 19 82 41.6% 16.3% 23% 9%
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 216 411 106 1 25 3 1978 220 456 171 1 29 1 1979 256 437 194 4 24 0 1980 278 521 218 5 21 3 1981 335 486 254 8 25 2 1982 336 521 230 3 14 3 1983 351 430 229 5 15 3 1984 378 463 242 3 23 4 1985 383 404 255 7 21 1 1986 415 482 286 2 27 1 1987 362 510 257 5 19 1 1988 352 422 384 7 16 3 1989 414 424 363 8 16 2 1990 357 435 368 18 19 1 1991 442 548 400 14 18 5 1992 408 537 302 18 17 4 1993 432 520 338 25 11 6 1994 451 494 346 20 9 2 1995 439 478 312 18 6 3 1996 472 429 269 35 15 2 1997 433 473 289 19 13 4 1998 472 433 336 29 4 4 1999 492 460 287 44 10 8 2000 467 702 271 35 10 3 2001 533 690 287 88 6 4 2002 472 746 299 128 9 1 2003 485 766 295 189 9 4 2004 530 898 277 173 2 7 2005 572 896 316 196 10 4 2006 613 1,166 305 258 6 6 2007 603 2,501 322 231 8 4 2008 610 2,361 264 267 5 5 2009 596 2,188 273 277 1 8 2010 601 2,560 248 189 4 4 2011 686 2,666 297 203 4 5 2012 609 2,818 340 206 1 6 2013 648 3,103 290 292 3 5 2014 616 9,678 342 423 2 3 2015 778 10,997 279 838 1 7 2016 893 12,822 288 884 5 4 2017 1,006 12,968 361 937 7 9 2018 1,114 10,639 343 1,080 4 11 2019 1,219 10,853 313 1,199 3 10 2020 1,251 13,037 394 2,050 4 5 2021 1,577 14,758 513 1,915 7 9 2022 1,883 13,772 533 2,214 6 10 2023 2,194 12,737 483 2,597 2 8 2024 4,059 11,198 564 2,648 0 3 2025 3,739 9,139 392 2,653 0 18 2026 3,008 5,908 232 2,003 0 29
Month Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Jan 3,733 15,579 1,407 2,363 0 17 Feb 3,033 13,085 1,273 2,127 0 22 Mar 3,501 14,450 1,361 2,228 0 30 Apr 3,331 15,249 1,437 2,285 0 18 May 3,784 16,319 1,426 1,984 0 21 Jun 3,646 16,355 1,401 1,908 0 19 Jul 3,895 17,956 1,496 2,039 0 25 Aug 3,572 16,941 1,381 1,967 0 31 Sep 3,231 16,145 1,368 1,737 0 19 Oct 3,229 15,999 1,446 1,761 0 22 Nov 3,290 14,894 1,306 1,917 0 23 Dec 3,363 15,370 1,294 2,181 0 22
Day Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Mon 6,212 26,272 2,484 3,784 0 44 Tue 5,809 24,114 2,452 3,652 0 38 Wed 5,671 24,028 2,354 3,524 0 42 Thu 6,123 23,736 2,325 3,620 0 32 Fri 6,519 25,454 2,320 3,514 0 42 Sat 5,714 31,520 2,316 3,240 0 31 Sun 5,556 32,950 2,345 3,163 0 40
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 1,794 16.1% 4,133 13.7% 249 4.8% 0 – 13-17 9,168 39.4% 11,924 11.1% 230 10.4% 0 – 18-24 5,440 11.3% 46,922 9.4% 1,351 7% 0 – 25-34 8,166 13.6% 53,015 9.2% 3,151 5.9% 0 – 35-49 9,119 15.1% 43,179 10.9% 4,076 7.3% 2 50% 50-64 5,357 17.6% 18,229 11.2% 2,733 8.2% 13 0% 65+ 2,563 17.4% 6,836 12.2% 845 8.2% 19 15.8% Unknown 1 100% 4,454 3.9% 3,965 13.5% 24,972 6.2%
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 1,794 16.1% 4,133 13.7% 249 4.8% 0 – 13-17 9,168 39.4% 11,924 11.1% 230 10.4% 0 – 18-24 5,440 11.3% 46,922 9.4% 1,351 7% 0 – 25-34 8,166 13.6% 53,015 9.2% 3,151 5.9% 0 – 35-49 9,119 15.1% 43,179 10.9% 4,076 7.3% 2 50% 50-64 5,357 17.6% 18,229 11.2% 2,733 8.2% 13 0% 65+ 2,563 17.4% 6,836 12.2% 845 8.2% 19 15.8% Unknown 1 100% 4,454 3.9% 3,965 13.5% 24,972 6.2%
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 3,363 2,766 45.1% 13-17 13,486 7,732 36.4% 18-24 43,302 10,143 19% 25-34 51,408 12,633 19.7% 35-49 43,351 12,753 22.7% 50-64 19,839 6,268 24% 65+ 6,717 3,507 34.3%
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 25,076 17.8% 149,922 9.4% 12,202 7.9% 18,937 6.3% Female 16,474 23.7% 37,823 12.5% 3,093 10.7% 5,014 7.2% Unknown 58 15.5% 947 5.5% 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 25,076 17.8% 149,922 9.4% 12,202 7.9% 18,937 6.3% Female 16,474 23.7% 37,823 12.5% 3,093 10.7% 5,014 7.2% Unknown 58 15.5% 947 5.5% 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 22,839 16.7% 42,088 13.5% 6,642 9.5% 11,627 7% 30.6% 57.8% Black 8,762 31.8% 96,702 9% 2,571 7.5% 5,320 7.5% 41.7% 12.1% Hispanic / Latino 6,301 20% 20,726 10.3% 2,692 7.3% 3,481 5.3% 12.2% 18.7% Asian 1,016 10.9% 1,785 8.9% 290 6.6% 842 4.8% 1.4% 5.9% American Indian / Alaska Native / First Nations 1,438 15.6% 429 36.2% 96 9.4% 41 12.2% 0.7% 0.7% Native Hawaiian / Pacific Islander 80 28.8% 124 53.7% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 307 14.7% 0 – 0 – 0.1% – Multiracial 60 13.3% 103 16.8% 0 – 0 – 0.1% 4.1% Other 311 21.2% 408 12.5% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 800 11.1% 26,020 7% 4,140 9.2% 3,440 3% 12.7% –
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 22,839 16.7% 42,088 13.5% 6,642 9.5% 11,627 7% 30.6% 57.8% Black 8,762 31.8% 96,702 9% 2,571 7.5% 5,320 7.5% 41.7% 12.1% Hispanic / Latino 6,301 20% 20,726 10.3% 2,692 7.3% 3,481 5.3% 12.2% 18.7% Asian 1,016 10.9% 1,785 8.9% 290 6.6% 842 4.8% 1.4% 5.9% American Indian / Alaska Native / First Nations 1,438 15.6% 429 36.2% 96 9.4% 41 12.2% 0.7% 0.7% Native Hawaiian / Pacific Islander 80 28.8% 124 53.7% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 307 14.7% 0 – 0 – 0.1% – Multiracial 60 13.3% 103 16.8% 0 – 0 – 0.1% 4.1% Other 311 21.2% 408 12.5% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 800 11.1% 26,020 7% 4,140 9.2% 3,440 3% 12.7% –
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 169,427 89.8% Solved 11,585 6.1% Charged / in court 5,109 2.7% Primary suspect deceased 1,855 1% Substantiated 276 0.1% Ruled accidental 237 0.1% Ruled self-inflicted 203 0.1%
Open for Still missing Unsolved Unidentified Unclaimed Under 1 year 1,912 5,468 169 1,743 1-4 years 6,105 36,158 1,430 9,035 5-9 years 5,274 57,811 1,725 7,029 10-19 years 6,312 48,841 2,804 3,759 20-29 years 4,933 6,991 2,791 1,149 30-49 years 7,161 9,138 5,238 203 50+ years 1,519 4,963 1,001 23
State 1950s 1960s 1970s 1980s 1990s 2000s 2010s 2020s AB 0 0 0 0 0 0 AK 17 4 9 4 4 42 59 AL 52 59 48 34 28 30 51 45 AR 7 18 11 8 6 5 12 34 AZ 6 3 7 8 5 2 22 35 BC 0 0 0 0 0 0 0 CA 0 2 1 2 2 1 2 8 CO 0 3 2 3 4 7 23 CT 0 0 0 5 4 10 7 46 DC 3 8 6 2 5 11 DE 8 25 10 12 44 29 FL 0 2 2 3 3 5 3 50 GA 0 0 1 3 2 1 2 21 HI 3 8 13 3 11 18 IA 0 3 3 2 2 10 25 ID 16 23 18 19 29 20 IL 9 5 2 2 3 4 2 11 IN 6 4 3 2 3 2 14 KS 2 2 2 3 1 17 KY 0 0 3 4 2 5 17 LA 0 0 1 0 1 4 17 MA 0 1 1 3 3 2 14 MB 0 0 0 0 0 0 0 MD 0 0 2 1 3 1 2 15 ME 0 0 4 33 65 70 64 MI 0 1 4 1 3 3 18 MN 7 0 4 4 4 2 20 MO 0 0 3 2 2 2 3 8 MS 5 0 0 4 2 4 17 MT 20 20 21 30 51 45 NB 0 0 0 0 NC 5 1 3 1 3 1 11 ND 11 68 59 NE 0 0 3 3 41 51 NH 8 4 11 21 54 52 NJ 0 0 2 4 1 3 1 13 NM 11 2 8 7 8 29 NS 0 0 NV 6 1 6 10 7 19 NY 0 0 1 1 3 3 2 11 OH 0 1 1 3 1 3 2 17 OK 4 5 7 14 9 36 ON 0 0 0 0 0 0 1 2 OR 0 4 4 1 2 3 26 PA 0 0 2 1 2 1 1 7 PR 0 5 17 6 QC 0 0 0 0 0 0 RI 0 0 15 24 62 44 SC 0 0 0 1 2 1 9 SD 17 0 75 58 SK 0 0 0 0 0 0 TN 0 5 4 3 5 3 15 TX 0 0 1 2 2 4 4 17 UT 0 0 8 8 6 14 22 40 VA 0 0 3 3 3 1 1 7 VI 0 0 VT 20 17 10 31 47 51 WA 0 5 3 4 4 3 2 16 WI 8 0 10 4 1 5 3 17 WV 0 6 3 0 5 2 21 WY 14 11 6 7 58 39
<2% 2–5 5–10 10–20 20–35 35–50 50%+ fewer than 10 cases
Rewards offered 1,271 deaths by force cases list a reward, and 1,143 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% 1,595 80–84% 26,628 75–79% 74,005
Serial killers & mass murders Serial killers by victims and decade; mass murders by year, place, firearms, attacker and victims.
Victims Profiles 3 or fewer 252 4-5 364 6-9 201 10-19 78 20+ 21
Decade Profiles Before 1900 49 1900s 11 1910s 22 1920s 23 1930s 14 1940s 16 1950s 23 1960s 67 1970s 221 1980s 197 1990s 122 2000s 66 2010s 34 2020s 19
Group Profiles Share Sex: Male 779 85% Sex: Unknown 49 5.3% Sex: Female 88 9.6% Race: Black 243 26.5% Race: White 529 57.8% Race: Middle Eastern 1 0.1% Race: Hispanic / Latino 37 4% Race: Unknown / not recorded 95 10.4% Race: Multiracial 4 0.4% Race: American Indian / Alaska Native / First Nations 5 0.5% Race: Asian 2 0.2%
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 3 17 2 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 8 111 906 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 9 64 83 2018 11 84 64 2019 10 77 103 2020 5 24 2 2021 9 59 21 2022 10 72 103 2023 8 64 45 2024 3 12 20 2025 18 76 5 2026 29 142 0
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 3 17 2 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 8 111 906 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 9 64 83 2018 11 84 64 2019 10 77 103 2020 5 24 2 2021 9 59 21 2022 10 72 103 2023 8 64 45 2024 3 12 20 2025 18 76 5 2026 29 142 0
Place Incidents Killed Not recorded 64 308 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 16 153 Home / residence 16 89 Government / military 12 90 House of worship 11 87 College / university 9 91 Other 3 18
Type Firearms Handgun 248 Assault weapon 103 Shotgun 49 Rifle 49 Not recorded 7
Group Incidents Share Sex: Male 201 74.7% Sex: Female 4 1.5% Sex: Unknown 64 23.8% Race: White 107 39.8% Race: Black 43 16% Race: Asian 13 4.8% Race: Unknown / not recorded 71 26.4% Race: Hispanic / Latino 23 8.6% Race: Middle Eastern 9 3.3% Race: American Indian / Alaska Native / First Nations 3 1.1% Age: 0-12 1 0.4% Age: 13-17 9 3.3% Age: 18-24 50 18.6% Age: 25-34 56 20.8% Age: 35-49 67 24.9% Age: 50-64 19 7.1% Age: 65+ 4 1.5% Age: Unknown 63 23.4% Setting: Urban 105 – Setting: Rural 48 – Setting: Suburban 48 – Setting: Not recorded 68 –
Relationship Victims No known relationship 793 Not recorded 330 Coworker / work-related 269 Other acquaintance 143 Classmate / school-related 136 Romantic partner / ex 29 Family member 28
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 October 29, 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 October 29, 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.
