2016 Murder Data: murder_2015_final.csv

Table actions

This table contains data behind the story A Handful Of Cities Are Driving 2016's Rise In Murder.

murder_2016_prelim.csv contains preliminary 2016 murder counts for 79 large U.S. cities. 2015 figures are counts through the same data a year ago. Sources are listed in the file.

murder_2015_final.csv contains full-year 2014 and 2015 murder counts for all U.S. cities with at least 250,000 residents. Source is FBI Uniform Crime Reports.

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette

83 rows

✎ View and edit SQL

This data as json, copyable, CSV (advanced)

Link rowid ▼ city state 2014_murders 2015_murders change
1 1 Baltimore Maryland 211 344 133
2 2 Chicago Illinois 411 478 67
3 3 Houston Texas 242 303 61
4 4 Cleveland Ohio 63 120 57
5 5 Washington D.C. 105 162 57
6 6 Milwaukee Wisconsin 90 145 55
7 7 Philadelphia Pennsylvania 248 280 32
8 8 Kansas City Missouri 78 109 31
9 9 Nashville Tennessee 41 72 31
10 10 St. Louis Missouri 159 188 29
11 11 Oklahoma City Oklahoma 45 73 28
12 12 Louisville Kentucky 56 81 25
13 13 Denver Colorado 31 53 22
14 14 Los Angeles California 260 282 22
15 15 Dallas Texas 116 136 20
16 16 New York New York 333 352 19
17 17 Orlando Florida 15 32 17
18 18 Minneapolis Minnesota 31 47 16
19 19 Omaha Nebraska 32 48 16
20 20 Sacramento California 28 43 15
21 21 Anchorage Alaska 12 26 14
22 22 Charlotte-Mecklenburg North Carolina 47 61 14
23 23 New Orleans Louisiana 150 164 14
24 24 Albuquerque New Mexico 30 43 13
25 25 Aurora Colorado 11 24 13
26 26 Fort Wayne Indiana 12 25 13
27 27 Long Beach California 23 36 13
28 28 Durham North Carolina 21 34 13
29 29 Indianapolis Indiana 136 148 12
30 30 Newark New Jersey 93 104 11
31 31 Tulsa Oklahoma 46 55 9
32 32 Portland Oregon 26 34 8
33 33 San Francisco California 45 53 8
34 34 Cincinnati Ohio 60 66 6
35 35 Tampa Florida 28 34 6
36 36 Bakersfield California 17 22 5
37 37 Colorado Springs Colorado 20 25 5
38 38 Las Vegas Nevada 122 127 5
39 39 Oakland California 80 85 5
40 40 San Diego California 32 37 5
41 41 St. Paul Minnesota 11 16 5
42 42 Anaheim California 14 18 4
43 43 Greensboro North Carolina 23 26 3
44 44 Jersey City New Jersey 24 27 3
45 45 Mesa Arizona 13 16 3
46 46 Fort Worth Texas 54 56 2
47 47 Virginia Beach Virginia 17 19 2
48 48 Irvine California 0 2 2
49 49 Atlanta Georgia 93 94 1
50 50 Henderson Nevada 3 4 1
51 51 Jacksonville Florida 96 97 1
52 52 Raleigh North Carolina 16 17 1
53 53 Wichita Kansas 26 27 1
54 54 Chandler Arizona 1 1 0
55 55 Plano Texas 4 4 0
56 56 Stockton California 49 49 0
57 57 Toledo Ohio 24 24 0
58 58 Chula Vista California 7 6 -1
59 59 Phoenix Arizona 114 112 -2
60 60 Riverside California 12 10 -2
61 61 San Jose California 32 30 -2
62 62 Detroit Michigan 298 295 -3
63 63 Seattle Washington 26 23 -3
64 64 El Paso Texas 21 17 -4
65 65 Tucson Arizona 35 31 -4
66 66 Arlington Texas 13 8 -5
67 67 Lexington Kentucky 20 15 -5
68 68 Memphis Tennessee 140 135 -5
69 69 St. Petersburg Florida 19 14 -5
70 70 Columbus Ohio 83 77 -6
71 71 Honolulu Hawaii 21 15 -6
72 72 Laredo Texas 14 8 -6
73 73 Lincoln Nebraska 7 1 -6
74 74 Miami Florida 81 75 -6
75 75 Santa Ana California 18 12 -6
76 76 Mobile Alabama 31 24 -7
77 77 Fresno California 47 39 -8
78 78 Austin Texas 32 23 -9
79 79 San Antonio Texas 103 94 -9
80 80 Corpus Christi Texas 27 17 -10
81 81 Pittsburgh Pennsylvania 69 57 -12
82 82 Boston Massachusetts 53 38 -15
83 83 Buffalo New York 60 41 -19

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE "murder_2016/murder_2015_final" (
"city" TEXT,
  "state" TEXT,
  "2014_murders" INTEGER,
  "2015_murders" INTEGER,
  "change" INTEGER
);