Statistics
Missing persons & unsolved case statistics
Numbers behind 274,334 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
274,334
237,518 open · 35,114 solved / resolved
42,398
31,905 still missing · 24.7% located
188,875
167,024 unsolved · 11.5% 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
281
1,836 people killed
Possible matches
102,810
missing persons ↔ unidentified remains, 75%+
Added in the last 30 days
6,438
29,771 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
42,398 31,905 still missing
188,875 167,024 unsolved
16,600 15,158 unidentified
25,005 23,431 unclaimed
1,175
281
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 5,545 14.02 13.2% 18,067 45.70 3.4% 3,117 7.88 4.4% 4,048 10.24 1.3% 177 37 30,991 78.38 Texas TX 4,036 13.85 26% 14,587 50.05 10.3% 2,190 7.51 7.9% 2,563 8.79 5.1% 76 29 23,481 80.56 New York NY 1,495 7.40 19.3% 5,308 26.28 6.1% 1,611 7.97 8.3% 8,868 43.90 8% 65 18 17,365 85.96 Florida FL 6,040 28.04 57.2% 9,142 42.45 9.2% 950 4.41 11.5% 238 1.11 8.4% 80 19 16,469 76.46 Illinois IL 722 5.64 25.1% 12,257 95.66 5.3% 466 3.64 12.4% 107 0.84 2.8% 59 11 13,622 106.32 Ohio OH 757 6.42 22.3% 9,868 83.63 8.9% 112 0.95 16.1% 207 1.75 2.4% 42 6 10,992 93.16 North Carolina NC 981 9.40 28.8% 7,763 74.36 6.1% 177 1.70 11.3% 51 0.49 0% 20 7 8,999 86.20 Georgia GA 651 6.08 20.6% 7,358 68.69 13% 286 2.67 11.2% 312 2.91 1.6% 25 8 8,640 80.66 Pennsylvania PA 724 5.57 21.8% 7,123 54.78 3.5% 387 2.98 6.2% 230 1.77 2.6% 31 11 8,506 65.42 Louisiana LA 629 13.50 14% 6,744 144.79 10.2% 149 3.20 3.4% 21 0.45 9.5% 28 4 7,575 162.63 Missouri MO 819 13.31 17.5% 6,491 105.46 4.8% 133 2.16 16.5% 45 0.73 0% 33 2 7,523 122.23 Alabama AL 391 7.78 12.8% 6,633 132.02 51.5% 72 1.43 13.9% 275 5.47 1.5% 20 2 7,393 147.15 Tennessee TN 1,351 19.55 29.3% 5,056 73.16 7% 127 1.84 18.1% 823 11.91 3.2% 16 4 7,377 106.75 Arizona AZ 1,467 20.51 18.7% 3,223 45.07 40.4% 2,234 31.24 6% 183 2.56 0.5% 14 4 7,125 99.63 Maryland MD 366 5.92 19.4% 6,293 101.87 7% 380 6.15 4.5% 3 0.05 0% 17 1 7,060 114.29 Virginia VA 1,122 13 36.5% 5,279 61.16 3.9% 343 3.97 4.7% 0 0 – 20 6 6,770 78.43 Michigan MI 736 7.30 15.4% 4,905 48.67 8.7% 353 3.50 7.4% 278 2.76 1.8% 35 9 6,316 62.68 Washington WA 1,169 15.17 13.2% 1,995 25.89 13.5% 214 2.78 21% 2,112 27.41 2.5% 28 10 5,528 71.74 Indiana IN 349 5.14 23.2% 4,937 72.76 8.3% 60 0.88 15% 59 0.87 0% 22 2 5,429 80.01 South Carolina SC 396 7.74 18.4% 4,641 90.67 7.3% 93 1.82 10.8% 160 3.13 0% 18 3 5,311 103.76 Oklahoma OK 1,076 27.18 42.3% 2,857 72.16 14.7% 128 3.23 14.8% 166 4.19 7.8% 16 4 4,247 107.27 Mississippi MS 269 9.08 14.5% 3,703 125.05 12.4% 73 2.47 13.7% 1 0.03 0% 7 5 4,058 137.04 New Jersey NJ 582 6.27 20.1% 2,581 27.79 5.5% 477 5.14 4.8% 212 2.28 2.8% 20 6 3,878 41.75 Kentucky KY 447 9.92 22.1% 3,314 73.55 9.9% 93 2.06 12.9% 3 0.07 0% 11 7 3,875 86 Colorado CO 521 9.02 24% 2,433 42.14 11.2% 110 1.91 17.3% 296 5.13 19.9% 12 13 3,385 58.63 District of Columbia DC 108 15.66 13% 2,749 398.67 8.2% 64 9.28 14.1% 361 52.35 7.8% 2 2 3,286 476.55 Arkansas AR 601 19.96 40.3% 2,368 78.63 19.8% 109 3.62 12.8% 21 0.70 4.8% 17 4 3,120 103.60 Nevada NV 379 12.21 21.6% 1,961 63.16 15.8% 337 10.85 12.5% 403 12.98 1% 12 3 3,095 99.69 Wisconsin WI 294 4.99 19% 2,689 45.62 10.2% 57 0.97 17.5% 34 0.58 0% 15 6 3,095 52.51 Massachusetts MA 356 5.06 28.9% 1,696 24.13 9.5% 214 3.04 7.9% 807 11.48 3% 18 1 3,092 43.98 Oregon OR 701 16.54 17.4% 1,574 37.15 11.6% 168 3.96 13.7% 71 1.68 1.4% 24 7 2,545 60.06 New Mexico NM 344 16.25 10.2% 1,570 74.14 21% 346 16.34 20.2% 13 0.61 15.4% 15 0 2,288 108.05 Alaska AK 1,584 215.98 15.8% 569 77.58 62.7% 72 9.82 23.6% 1 0.14 0% 9 3 2,238 305.16 Minnesota MN 254 4.45 8.7% 1,615 28.30 12.1% 62 1.09 14.5% 1 0.02 100% 8 2 1,942 34.03 Connecticut CT 301 8.35 27.9% 1,119 31.03 9.3% 49 1.36 18.4% 417 11.56 82.3% 12 4 1,902 52.75 Kansas KS 246 8.37 25.2% 1,426 48.54 11.1% 28 0.95 17.9% 82 2.79 2.4% 12 4 1,798 61.20 Hawaii HI 378 25.97 6.3% 203 13.95 53.3% 74 5.08 2.7% 652 44.80 6.7% 2 1 1,310 90.02 West Virginia WV 185 10.31 19.5% 791 44.10 11.4% 32 1.78 12.5% 68 3.79 0% 6 0 1,082 60.32 Iowa IA 142 4.45 13.4% 892 27.96 15.2% 21 0.66 28.6% 14 0.44 0% 6 2 1,077 33.76 Ontario ON 858 6.03 0.2% 174 1.22 28.2% 0 0 – 0 0 – 11 0 1,043 7.33 Utah UT 200 6.11 16.5% 725 22.16 30.6% 59 1.80 16.9% 31 0.95 0% 6 1 1,022 31.24 Nebraska NE 175 8.92 25.7% 697 35.53 41.8% 5 0.25 0% 0 0 – 6 1 884 45.07 Idaho ID 174 9.46 9.2% 342 18.60 55.2% 26 1.41 19.2% 333 18.11 0.9% 3 3 881 47.90 Puerto Rico PR 68 2.07 7.4% 0 0 – 386 11.75 16.8% 386 11.75 3.6% 1 0 841 25.59 Delaware DE 75 7.58 12% 633 63.94 37% 35 3.54 11.4% 17 1.72 0% 3 0 763 77.07 Maine ME 171 12.55 9.4% 470 34.50 68% 32 2.35 12.5% 1 0.07 0% 5 1 680 49.91 Montana MT 153 14.11 11.8% 373 34.40 60.5% 19 1.75 15.8% 0 0 – 5 2 552 50.91 British Columbia BC 354 7.08 0% 151 3.02 17.2% 0 0 – 0 0 – 6 1 512 10.24 Quebec QC 349 4.10 0% 83 0.98 43.4% 0 0 – 0 0 – 2 0 434 5.10 New Hampshire NH 82 5.95 18.3% 280 20.33 41.2% 12 0.87 16.7% 3 0.22 0% 5 2 384 27.88 Alberta AB 317 7.44 0% 47 1.10 6.4% 0 0 – 0 0 – 4 0 368 8.63 Rhode Island RI 50 4.56 32% 238 21.69 50% 26 2.37 3.8% 0 0 – 4 3 321 29.25 Wyoming WY 80 13.87 5% 175 30.34 63.2% 9 1.56 22.2% 28 4.85 10.7% 4 0 296 51.31 South Dakota SD 56 6.32 21.4% 218 24.59 66.2% 3 0.34 0% 0 0 – 1 0 278 31.35 Vermont VT 60 9.33 10% 201 31.26 47.7% 7 1.09 14.3% 0 0 – 1 0 269 41.83 Manitoba MB 216 16.09 0% 25 1.86 16% 0 0 – 0 0 – 1 0 242 18.03 North Dakota ND 48 6.16 14.6% 152 19.51 69.4% 4 0.51 50% 0 0 – 3 0 207 26.57 Saskatchewan SK 148 13.07 0% 15 1.32 20% 0 0 – 0 0 – 0 0 163 14.39 New Brunswick NB 72 9.28 0% 21 2.71 23.8% 0 0 – 0 0 – 1 0 94 12.12 Nova Scotia NS 43 4.44 0% 48 4.95 0% 0 0 – 0 0 – 0 0 91 9.39 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 33 6.46 0% 3 0.59 0% 0 0 – 0 0 – 0 0 36 7.05 Nunavut NU 12 32.56 0% 1 2.71 0% 0 0 – 0 0 – 0 0 13 35.27 Yukon YT 9 22.37 0% 4 9.94 0% 0 0 – 0 0 – 0 0 13 32.31 Northwest Territories NT 11 26.78 0% 1 2.43 0% 0 0 – 0 0 – 0 0 12 29.22 Guam GU 5 3.25 0% 0 0 – 3 1.95 0% 0 0 – 0 0 8 5.20 Prince Edward Island PE 4 2.59 0% 2 1.30 0% 0 0 – 0 0 – 0 0 6 3.89 Northern Mariana Islands MP 4 8.45 0% 0 0 – 0 0 – 0 0 – 0 0 4 8.45
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 9,397 8,940 456 4.9% Houston TX 5,276 4,500 775 14.7% Baltimore MD 4,106 3,902 204 5% Bronx NY 3,705 3,415 290 7.8% Philadelphia PA 3,320 3,160 160 4.8% Los Angeles CA 3,269 3,062 207 6.3% Brooklyn NY 3,157 2,920 237 7.5% Washington DC 3,173 2,908 264 8.3% Dallas TX 3,407 2,864 543 15.9% Los-angeles CA 2,623 2,587 36 1.4% Detroit MI 2,711 2,499 212 7.8% New York NY 2,639 2,382 257 9.7% Columbus OH 2,638 2,373 264 10% Indianapolis IN 2,389 2,195 190 8% Memphis TN 2,295 2,084 211 9.2% Atlanta GA 2,064 1,894 170 8.2% Saint-louis MO 1,862 1,826 35 1.9% Queens NY 1,954 1,785 169 8.6% Milwaukee WI 1,930 1,729 200 10.4% Las Vegas NV 1,847 1,536 310 16.8% Louisville KY 1,677 1,533 142 8.5% Cleveland OH 1,595 1,460 135 8.5% Cincinnati OH 1,615 1,458 156 9.7% Birmingham AL 2,104 1,384 711 33.9% Phoenix AZ 1,883 1,324 549 29.3% Jacksonville FL 1,916 1,292 623 32.5% Miami FL 1,416 1,269 145 10.3% Charlotte NC 1,395 1,268 127 9.1% Oakland CA 1,266 1,213 53 4.2% New-orleans LA 1,242 1,171 71 5.7% Denver CO 1,355 1,169 186 13.7% Kansas-city MO 1,191 1,133 58 4.9% Richmond VA 1,150 1,095 55 4.8% Tulsa OK 1,250 982 268 21.4% St. Louis MO 1,083 977 106 9.8% Nashville TN 1,085 973 112 10.3% Knoxville TN 1,047 945 102 9.7% Boston MA 975 918 57 5.8% New Orleans LA 1,016 911 105 10.3% Pittsburgh PA 949 903 46 4.8%
State / province Missing Still missing Deaths by force Unsolved Unidentified / unclaimed Total Alaska 381 281 104 40 9 494 Arizona 118 99 40 27 28 186 Oklahoma 96 49 33 28 10 139 New Mexico 89 80 23 22 26 138 Manitoba 104 104 4 3 0 108 Alberta 99 99 7 7 0 106 South Dakota 28 21 73 36 0 101 Washington 75 61 14 14 11 100 British Columbia 80 80 13 12 0 93 California 51 44 9 9 16 76 Saskatchewan 70 70 0 0 0 70 Ontario 58 58 4 4 0 62 Montana 27 25 31 17 1 59 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 5 5 2 1 12 Michigan 7 7 3 3 2 12 Nunavut 12 12 0 0 0 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 Yukon 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 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 Nova Scotia 3 3 0 0 0 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 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 3 266 0 0 55 0 0% 13.5% – – 1900s 1 990 0 0 12 0 0% 5.6% – – 1910s 8 463 1 0 25 0 0% 10.8% 0% – 1920s 11 411 2 0 28 0 0% 12.3% 0% – 1930s 23 298 12 2 20 0 0% 14.8% 0% 0% 1940s 55 233 33 4 21 0 3.6% 18% 0% 25% 1950s 141 314 159 2 32 0 5% 15.6% 0.6% 0% 1960s 410 802 236 4 90 5 1.2% 9.4% 2.5% 25% 1970s 1,710 3,234 1,067 19 272 10 1.6% 6.4% 5.6% 0% 1980s 3,704 4,978 2,718 53 262 23 2.3% 7.4% 5.4% 1.9% 1990s 4,537 5,081 3,247 240 164 39 1.8% 6.3% 5.3% 2.1% 2000s 5,519 13,119 2,909 1,842 89 47 3.2% 4.8% 4.9% 0.4% 2010s 8,198 78,403 3,101 6,251 44 65 7.9% 6.1% 6.2% 1.4% 2020s 18,078 80,221 3,111 16,079 29 92 52.3% 18.6% 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 3 266 0 0 55 0 0% 13.5% – – 1900s 1 990 0 0 12 0 0% 5.6% – – 1910s 8 463 1 0 25 0 0% 10.8% 0% – 1920s 11 411 2 0 28 0 0% 12.3% 0% – 1930s 23 298 12 2 20 0 0% 14.8% 0% 0% 1940s 55 233 33 4 21 0 3.6% 18% 0% 25% 1950s 141 314 159 2 32 0 5% 15.6% 0.6% 0% 1960s 410 802 236 4 90 5 1.2% 9.4% 2.5% 25% 1970s 1,710 3,234 1,067 19 272 10 1.6% 6.4% 5.6% 0% 1980s 3,704 4,978 2,718 53 262 23 2.3% 7.4% 5.4% 1.9% 1990s 4,537 5,081 3,247 240 164 39 1.8% 6.3% 5.3% 2.1% 2000s 5,519 13,119 2,909 1,842 89 47 3.2% 4.8% 4.9% 0.4% 2010s 8,198 78,403 3,101 6,251 44 65 7.9% 6.1% 6.2% 1.4% 2020s 18,078 80,221 3,111 16,079 29 92 52.3% 18.6% 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 220 440 106 1 32 3 1978 225 466 171 1 32 1 1979 266 457 194 4 31 0 1980 282 554 218 5 29 3 1981 349 533 254 8 34 2 1982 347 550 230 3 19 3 1983 359 462 229 5 22 3 1984 385 496 242 3 28 4 1985 392 431 255 7 29 1 1986 429 514 286 2 37 1 1987 373 535 257 5 27 1 1988 360 451 384 7 18 3 1989 428 452 363 8 19 2 1990 364 458 368 18 22 1 1991 460 577 400 14 23 5 1992 421 568 302 18 21 4 1993 450 546 338 25 15 6 1994 459 517 346 20 11 2 1995 455 511 312 18 14 3 1996 483 448 269 35 17 2 1997 443 500 289 19 18 4 1998 495 460 336 29 8 4 1999 507 496 287 44 15 8 2000 470 727 271 35 11 5 2001 539 722 287 88 10 4 2002 478 772 299 128 10 1 2003 487 797 295 189 13 4 2004 535 918 277 173 4 7 2005 576 924 316 196 13 4 2006 620 1,183 305 258 7 6 2007 605 2,518 322 231 13 4 2008 612 2,358 264 267 6 5 2009 597 2,200 273 277 2 7 2010 604 2,558 248 189 5 4 2011 688 2,666 297 203 4 5 2012 611 2,812 340 206 5 6 2013 651 3,093 290 292 3 5 2014 617 9,547 342 423 2 3 2015 781 10,881 279 838 2 7 2016 897 12,711 288 884 5 4 2017 1,011 12,824 361 937 10 10 2018 1,116 10,551 343 1,080 4 11 2019 1,222 10,760 313 1,199 4 10 2020 1,253 12,995 394 2,050 9 5 2021 1,578 14,712 513 1,915 8 9 2022 1,886 13,725 533 2,214 8 11 2023 2,199 12,668 483 2,597 2 8 2024 4,063 11,132 564 2,648 2 3 2025 3,753 8,940 392 2,652 0 18 2026 3,346 6,049 232 2,003 0 38
Month Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Jan 3,770 15,592 1,407 2,363 0 17 Feb 3,062 13,061 1,273 2,127 0 24 Mar 3,539 14,445 1,361 2,228 0 30 Apr 3,368 15,224 1,437 2,285 0 17 May 3,826 16,329 1,426 1,984 0 22 Jun 3,691 16,367 1,401 1,908 0 19 Jul 3,938 17,963 1,496 2,039 0 25 Aug 3,624 16,955 1,381 1,967 0 33 Sep 3,309 16,150 1,368 1,737 0 20 Oct 3,478 16,094 1,446 1,761 0 27 Nov 3,397 14,965 1,306 1,917 0 25 Dec 3,396 15,385 1,294 2,180 0 22
Day Missing Deaths by Force Unidentified Unclaimed Serial Killers Mass Murders Mon 6,335 26,271 2,484 3,784 0 45 Tue 5,925 24,069 2,452 3,652 0 40 Wed 5,775 24,045 2,354 3,524 0 43 Thu 6,238 23,761 2,325 3,620 0 32 Fri 6,669 25,481 2,320 3,514 0 44 Sat 5,826 31,637 2,316 3,240 0 33 Sun 5,626 33,001 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 1,845 18.9% 4,161 15.5% 249 4.8% 0 – 13-17 9,519 57.7% 12,016 13.1% 230 10.4% 0 – 18-24 5,536 13.4% 47,069 10.8% 1,351 7% 0 – 25-34 8,281 13.6% 53,129 10.6% 3,151 5.9% 0 – 35-49 9,233 15.1% 43,159 12.2% 4,076 7.3% 2 50% 50-64 5,406 17.5% 18,074 12.4% 2,733 8.2% 13 0% 65+ 2,577 17.5% 6,780 14.2% 845 8.2% 19 15.8% Unknown 1 100% 4,487 5.6% 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 1,845 18.9% 4,161 15.5% 249 4.8% 0 – 13-17 9,519 57.7% 12,016 13.1% 230 10.4% 0 – 18-24 5,536 13.4% 47,069 10.8% 1,351 7% 0 – 25-34 8,281 13.6% 53,129 10.6% 3,151 5.9% 0 – 35-49 9,233 15.1% 43,159 12.2% 4,076 7.3% 2 50% 50-64 5,406 17.5% 18,074 12.4% 2,733 8.2% 13 0% 65+ 2,577 17.5% 6,780 14.2% 845 8.2% 19 15.8% Unknown 1 100% 4,487 5.6% 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 3,394 2,814 45.3% 13-17 13,590 8,066 37.2% 18-24 43,312 10,381 19.3% 25-34 51,427 12,846 20% 35-49 43,259 12,947 23% 50-64 19,702 6,305 24.2% 65+ 6,621 3,562 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 25,478 20.6% 149,365 10.7% 12,202 7.9% 18,937 6.4% Female 16,856 30.9% 38,586 14.7% 3,093 10.7% 5,013 7.3% Unknown 64 62.5% 924 5.2% 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 25,478 20.6% 149,365 10.7% 12,202 7.9% 18,937 6.4% Female 16,856 30.9% 38,586 14.7% 3,093 10.7% 5,013 7.3% Unknown 64 62.5% 924 5.2% 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 23,266 18.6% 41,838 15% 6,642 9.5% 11,627 7.1% 30.6% 57.8% Black 8,932 40.6% 96,611 10.2% 2,571 7.5% 5,319 7.6% 41.6% 12.1% Hispanic / Latino 6,401 26.5% 20,678 11.9% 2,692 7.3% 3,481 5.5% 12.2% 18.7% Asian 1,041 11.2% 1,785 10.3% 290 6.6% 842 4.8% 1.5% 5.9% American Indian / Alaska Native / First Nations 1,489 15.4% 470 34.8% 96 9.4% 41 12.2% 0.8% 0.7% Native Hawaiian / Pacific Islander 84 27.4% 118 54.3% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 312 17% 0 – 0 – 0.1% – Multiracial 60 13.3% 101 20% 0 – 0 – 0.1% 4.1% Other 314 21% 402 13.5% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 810 48.6% 26,560 9.5% 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 23,266 18.6% 41,838 15% 6,642 9.5% 11,627 7.1% 30.6% 57.8% Black 8,932 40.6% 96,611 10.2% 2,571 7.5% 5,319 7.6% 41.6% 12.1% Hispanic / Latino 6,401 26.5% 20,678 11.9% 2,692 7.3% 3,481 5.5% 12.2% 18.7% Asian 1,041 11.2% 1,785 10.3% 290 6.6% 842 4.8% 1.5% 5.9% American Indian / Alaska Native / First Nations 1,489 15.4% 470 34.8% 96 9.4% 41 12.2% 0.8% 0.7% Native Hawaiian / Pacific Islander 84 27.4% 118 54.3% 1 0% 27 11.1% 0.1% 0.2% Middle Eastern 1 0% 312 17% 0 – 0 – 0.1% – Multiracial 60 13.3% 101 20% 0 – 0 – 0.1% 4.1% Other 314 21% 402 13.5% 168 6.5% 228 2.6% 0.4% – Unknown / not recorded 810 48.6% 26,560 9.5% 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 167,024 88.4% Solved 12,248 6.5% Charged / in court 7,123 3.8% Primary suspect deceased 1,963 1% Substantiated 271 0.1% Ruled accidental 223 0.1% Ruled self-inflicted 23 0%
Open for Still missing Unsolved Unidentified Unclaimed Under 1 year 1,115 5,552 169 1,727 1-4 years 5,201 34,764 1,430 9,034 5-9 years 5,265 56,650 1,725 7,028 10-19 years 6,326 48,438 2,804 3,759 20-29 years 5,012 7,126 2,791 1,149 30-49 years 7,369 9,332 5,238 203 50+ years 1,617 5,107 1,001 23
State 1950s 1960s 1970s 1980s 1990s 2000s 2010s 2020s AB 2 2 0 1 0 0 AK 17 5 9 4 4 42 60 AL 55 63 49 34 30 30 52 47 AR 7 18 15 8 9 8 12 37 AZ 6 3 7 8 6 3 23 39 BC 0 0 15 1 6 4 4 CA 6 5 2 4 3 1 2 12 CO 0 4 2 4 4 8 26 CT 0 0 0 5 4 10 7 48 DC 3 8 8 2 6 12 DE 8 19 10 13 45 30 FL 0 2 5 5 5 6 3 52 GA 7 0 1 4 2 2 2 24 HI 5 8 13 3 11 20 IA 0 3 3 2 2 11 27 ID 15 23 20 19 29 22 IL 8 5 3 6 4 4 2 14 IN 6 5 6 8 3 2 17 KS 7 5 3 3 1 25 KY 0 0 4 5 3 5 20 LA 0 3 1 2 2 4 19 MA 4 4 2 3 3 2 22 MB 0 0 0 0 0 0 19 MD 0 0 9 2 2 1 2 16 ME 0 2 6 34 64 70 67 MI 0 1 4 3 6 3 21 MN 6 0 4 4 4 3 23 MO 0 12 6 8 6 2 3 11 MS 5 4 5 4 2 4 19 MT 20 27 33 30 52 49 NB 0 29 0 0 0 NC 5 8 5 2 3 2 15 ND 11 69 65 NE 3 5 3 3 41 58 NH 8 6 11 30 54 54 NJ 0 10 5 5 2 4 1 16 NM 12 4 8 8 9 32 NS 0 0 0 0 0 NV 8 2 8 11 8 24 NY 13 3 5 2 4 4 2 13 OH 12 1 1 3 1 3 2 21 OK 7 10 7 15 9 39 ON 18 2 6 1 2 1 10 14 OR 23 8 4 2 2 3 30 PA 0 2 3 1 3 1 2 11 PR 0 5 17 7 QC 50 13 19 5 0 0 0 RI 0 11 17 33 61 51 SC 0 6 7 4 2 2 14 SD 17 0 74 61 SK 0 0 13 0 0 0 TN 0 7 7 4 5 4 18 TX 6 2 3 4 3 5 5 21 UT 0 0 10 11 6 14 22 43 VA 2 2 5 4 5 2 1 18 VI 0 0 VT 20 17 9 31 48 52 WA 15 13 4 8 6 3 2 18 WI 8 0 10 4 7 5 3 19 WV 9 11 6 0 6 2 26 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 1,722 deaths by force cases list a reward, and 1,534 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% 1,590 80–84% 26,688 75–79% 74,519
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 38 189 30
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 38 189 30
Place Incidents Killed Not recorded 71 345 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% Sex: Female 4 1.4% Sex: Unknown 72 25.6% Race: White 109 38.8% Race: Black 44 15.7% Race: Asian 13 4.6% Race: Unknown / not recorded 78 27.8% Race: Hispanic / Latino 24 8.5% 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 18.5% Age: 25-34 56 19.9% Age: 35-49 69 24.6% Age: 50-64 19 6.8% Age: 65+ 4 1.4% Age: Unknown 70 24.9% Setting: Urban 105 – Setting: Rural 48 – Setting: Suburban 49 – Setting: Not recorded 79 –
Relationship Victims No known relationship 793 Not recorded 367 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 Nimrod Johnson Miller OK Sep 1881 145 37 Male David Laurie Phillips Salina, KS Jun 1883 143 46 Male Albert Jennings Fountain White Sands, NM Feb 1896 130 57 Male Elijah Cravens Okmulgee, OK Jan 1902 124 30 Male Edward Paul Adams LaMont, PA Apr 1910 116 9 Male Michael Steffan Ludlow, PA Apr 1910 116 7 Male Dorothy Harriet Camille Arnold Manhattan, NY Dec 1910 116 25 Female John McInnis Jefferson County, WA Nov 1911 115 54 Male 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 Joseph Alfred Meunier Salem, MA Jun 1924 102 19 Male Gerald Bartlett Davils Lake, ND Jul 1925 101 21 Male Marvin Clark Tigard, OR Oct 1926 100 69 Male Frank Tucker Warsaw, IN Jan 1927 99 58 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 Ray Sutton Clayton, NM Aug 1930 96 56 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 11, 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 11, 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.
