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The Trend of Crime in Queens NYC
Your sense of safety largely depends on the crime rate of where you live.
I used python dataframes from Pandas to clean data from nycOpenData provided by NYPD.
Then I used seaborn line-plots, count-plots and matplotlib.pyplot to display the data & visualize trends, and a folium map to display the area of each precinct. I then categorized which neighborhoods have had an increase in crime since the Covid-19 shutdown. I am trying to visualize and identify the trend of crime in Queens NYC.
Visualizations
This shows the total number of arrests in Queens NYC over the last five years (2015-2020)
This chart shows the total number of arrests in Queens NYC (YTD 2021)
This chart shows the crime in Queens by precinct (YTD 2021)
You can use the map while viewing the histogram and table to see where each precinct is located and find the precinct covering your neighborhood
You can use the table below to see which precincts and types of crime have increased since March of 2020 (Post Covid-19 shut-down)
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Arrest Precinct |
Offense Description |
Crime Count Historic Avg |
Crime Count |
Increase in Crime |
# Change |
100 |
ASSAULT |
247.0 |
166.0 |
False |
-81 |
100 |
PETIT LARCENY |
131.0 |
38.0 |
False |
-93 |
100 |
FELONY ASSAULT |
112.0 |
112.0 |
False |
0 |
100 |
GRAND LARCENY |
48.0 |
18.0 |
False |
-30 |
100 |
ROBBERY |
41.0 |
36.0 |
False |
-5 |
100 |
BURGLARY |
32.0 |
26.0 |
False |
-6 |
100 |
SEX CRIMES |
27.0 |
16.0 |
False |
-11 |
100 |
FRAUD |
10.0 |
8.0 |
False |
-2 |
100 |
CAR THEFT |
7.0 |
6.0 |
False |
-1 |
101 |
ASSAULT |
413.0 |
146.0 |
False |
-267 |
101 |
FELONY ASSAULT |
257.0 |
245.0 |
False |
-12 |
101 |
ROBBERY |
108.0 |
139.0 |
True |
31 |
101 |
PETIT LARCENY |
71.0 |
62.0 |
False |
-9 |
101 |
BURGLARY |
52.0 |
47.0 |
False |
-5 |
101 |
SEX CRIMES |
51.0 |
43.0 |
False |
-8 |
101 |
GRAND LARCENY |
46.0 |
27.0 |
False |
-19 |
101 |
FRAUD |
27.0 |
8.0 |
False |
-19 |
101 |
CAR THEFT |
15.0 |
23.0 |
True |
8 |
101 |
RAPE |
8.0 |
8.0 |
False |
0 |
102 |
ASSAULT |
520.0 |
187.0 |
False |
-333 |
102 |
FELONY ASSAULT |
206.0 |
120.0 |
False |
-86 |
102 |
GRAND LARCENY |
188.0 |
73.0 |
False |
-115 |
102 |
PETIT LARCENY |
138.0 |
270.0 |
True |
132 |
102 |
ROBBERY |
91.0 |
142.0 |
True |
51 |
102 |
FRAUD |
62.0 |
41.0 |
False |
-21 |
102 |
BURGLARY |
60.0 |
63.0 |
True |
3 |
102 |
SEX CRIMES |
53.0 |
56.0 |
True |
3 |
102 |
CAR THEFT |
32.0 |
32.0 |
False |
0 |
102 |
THEFT RELATED |
25.0 |
11.0 |
False |
-14 |
102 |
RAPE |
9.0 |
20.0 |
True |
11 |
102 |
BURGLAR’S TOOLS |
5.0 |
15.0 |
True |
10 |
103 |
ASSAULT |
607.0 |
226.0 |
False |
-381 |
103 |
THEFT RELATED |
457.0 |
25.0 |
False |
-432 |
103 |
FELONY ASSAULT |
291.0 |
382.0 |
True |
91 |
103 |
PETIT LARCENY |
258.0 |
169.0 |
False |
-89 |
103 |
ROBBERY |
237.0 |
283.0 |
True |
46 |
103 |
GRAND LARCENY |
95.0 |
137.0 |
True |
42 |
103 |
FRAUD |
80.0 |
32.0 |
False |
-48 |
103 |
BURGLARY |
60.0 |
97.0 |
True |
37 |
103 |
SEX CRIMES |
45.0 |
51.0 |
True |
6 |
103 |
CAR THEFT |
33.0 |
71.0 |
True |
38 |
103 |
RAPE |
8.0 |
5.0 |
False |
-3 |
103 |
BURGLAR’S TOOLS |
7.0 |
14.0 |
True |
7 |
104 |
ASSAULT |
440.0 |
411.0 |
False |
-29 |
104 |
PETIT LARCENY |
246.0 |
221.0 |
False |
-25 |
104 |
FELONY ASSAULT |
148.0 |
180.0 |
True |
32 |
104 |
GRAND LARCENY |
112.0 |
54.0 |
False |
-58 |
104 |
ROBBERY |
102.0 |
80.0 |
False |
-22 |
104 |
BURGLARY |
62.0 |
62.0 |
False |
0 |
104 |
SEX CRIMES |
41.0 |
44.0 |
True |
3 |
104 |
FRAUD |
18.0 |
11.0 |
False |
-7 |
104 |
BURGLAR’S TOOLS |
15.0 |
25.0 |
True |
10 |
104 |
CAR THEFT |
13.0 |
8.0 |
False |
-5 |
104 |
RAPE |
5.0 |
3.0 |
False |
-2 |
105 |
ASSAULT |
609.0 |
426.0 |
False |
-183 |
105 |
FELONY ASSAULT |
281.0 |
285.0 |
True |
4 |
105 |
ROBBERY |
116.0 |
108.0 |
False |
-8 |
105 |
GRAND LARCENY |
106.0 |
62.0 |
False |
-44 |
105 |
PETIT LARCENY |
92.0 |
90.0 |
False |
-2 |
105 |
BURGLARY |
69.0 |
43.0 |
False |
-26 |
105 |
SEX CRIMES |
47.0 |
55.0 |
True |
8 |
105 |
CAR THEFT |
45.0 |
35.0 |
False |
-10 |
105 |
FRAUD |
29.0 |
32.0 |
True |
3 |
105 |
RAPE |
6.0 |
8.0 |
True |
2 |
105 |
BURGLAR’S TOOLS |
3.0 |
14.0 |
True |
11 |
106 |
ASSAULT |
410.0 |
392.0 |
False |
-18 |
106 |
FELONY ASSAULT |
192.0 |
231.0 |
True |
39 |
106 |
PETIT LARCENY |
161.0 |
93.0 |
False |
-68 |
106 |
GRAND LARCENY |
127.0 |
104.0 |
False |
-23 |
106 |
ROBBERY |
122.0 |
80.0 |
False |
-42 |
106 |
BURGLARY |
63.0 |
26.0 |
False |
-37 |
106 |
SEX CRIMES |
39.0 |
42.0 |
True |
3 |
106 |
CAR THEFT |
31.0 |
52.0 |
True |
21 |
106 |
FRAUD |
17.0 |
15.0 |
False |
-2 |
106 |
RAPE |
5.0 |
8.0 |
True |
3 |
107 |
ASSAULT |
328.0 |
279.0 |
False |
-49 |
107 |
PETIT LARCENY |
139.0 |
67.0 |
False |
-72 |
107 |
ROBBERY |
126.0 |
82.0 |
False |
-44 |
107 |
FELONY ASSAULT |
123.0 |
129.0 |
True |
6 |
107 |
THEFT RELATED |
101.0 |
172.0 |
True |
71 |
107 |
GRAND LARCENY |
100.0 |
85.0 |
False |
-15 |
107 |
BURGLARY |
47.0 |
50.0 |
True |
3 |
107 |
FRAUD |
30.0 |
34.0 |
True |
4 |
107 |
SEX CRIMES |
30.0 |
18.0 |
False |
-12 |
107 |
CAR THEFT |
14.0 |
33.0 |
True |
19 |
107 |
RAPE |
6.0 |
3.0 |
False |
-3 |
107 |
BURGLAR’S TOOLS |
5.0 |
7.0 |
True |
2 |
108 |
ASSAULT |
340.0 |
191.0 |
False |
-149 |
108 |
FELONY ASSAULT |
109.0 |
93.0 |
False |
-16 |
108 |
GRAND LARCENY |
99.0 |
45.0 |
False |
-54 |
108 |
PETIT LARCENY |
82.0 |
41.0 |
False |
-41 |
108 |
ROBBERY |
57.0 |
53.0 |
False |
-4 |
108 |
BURGLARY |
28.0 |
61.0 |
True |
33 |
108 |
SEX CRIMES |
28.0 |
42.0 |
True |
14 |
108 |
FRAUD |
21.0 |
30.0 |
True |
9 |
108 |
CAR THEFT |
12.0 |
6.0 |
False |
-6 |
108 |
BURGLAR’S TOOLS |
7.0 |
3.0 |
False |
-4 |
109 |
PETIT LARCENY |
730.0 |
272.0 |
False |
-458 |
109 |
ASSAULT |
538.0 |
394.0 |
False |
-144 |
109 |
ROBBERY |
225.0 |
148.0 |
False |
-77 |
109 |
FELONY ASSAULT |
206.0 |
167.0 |
False |
-39 |
109 |
GRAND LARCENY |
180.0 |
122.0 |
False |
-58 |
109 |
BURGLARY |
88.0 |
85.0 |
False |
-3 |
109 |
SEX CRIMES |
54.0 |
51.0 |
False |
-3 |
109 |
FRAUD |
31.0 |
36.0 |
True |
5 |
109 |
BURGLAR’S TOOLS |
25.0 |
18.0 |
False |
-7 |
109 |
CAR THEFT |
13.0 |
14.0 |
True |
1 |
109 |
RAPE |
9.0 |
3.0 |
False |
-6 |
110 |
PETIT LARCENY |
751.0 |
253.0 |
False |
-498 |
110 |
ASSAULT |
536.0 |
473.0 |
False |
-63 |
110 |
FELONY ASSAULT |
245.0 |
323.0 |
True |
78 |
110 |
ROBBERY |
163.0 |
125.0 |
False |
-38 |
110 |
GRAND LARCENY |
153.0 |
91.0 |
False |
-62 |
110 |
BURGLARY |
55.0 |
49.0 |
False |
-6 |
110 |
SEX CRIMES |
51.0 |
81.0 |
True |
30 |
110 |
FRAUD |
37.0 |
21.0 |
False |
-16 |
110 |
BURGLAR’S TOOLS |
24.0 |
15.0 |
False |
-9 |
110 |
CAR THEFT |
16.0 |
25.0 |
True |
9 |
110 |
RAPE |
10.0 |
7.0 |
False |
-3 |
111 |
ASSAULT |
141.0 |
115.0 |
False |
-26 |
111 |
PETIT LARCENY |
71.0 |
32.0 |
False |
-39 |
111 |
GRAND LARCENY |
58.0 |
16.0 |
False |
-42 |
111 |
FELONY ASSAULT |
56.0 |
60.0 |
True |
4 |
111 |
BURGLARY |
37.0 |
21.0 |
False |
-16 |
111 |
ROBBERY |
29.0 |
13.0 |
False |
-16 |
111 |
SEX CRIMES |
13.0 |
20.0 |
True |
7 |
111 |
CAR THEFT |
7.0 |
6.0 |
False |
-1 |
111 |
BURGLAR’S TOOLS |
5.0 |
8.0 |
True |
3 |
112 |
PETIT LARCENY |
325.0 |
164.0 |
False |
-161 |
112 |
SEX CRIMES |
174.0 |
74.0 |
False |
-100 |
112 |
ASSAULT |
151.0 |
134.0 |
False |
-17 |
112 |
RAPE |
98.0 |
93.0 |
False |
-5 |
112 |
FELONY ASSAULT |
89.0 |
71.0 |
False |
-18 |
112 |
GRAND LARCENY |
82.0 |
57.0 |
False |
-25 |
112 |
ROBBERY |
24.0 |
44.0 |
True |
20 |
112 |
BURGLARY |
18.0 |
38.0 |
True |
20 |
112 |
BURGLAR’S TOOLS |
13.0 |
15.0 |
True |
2 |
112 |
FRAUD |
11.0 |
5.0 |
False |
-6 |
112 |
CAR THEFT |
7.0 |
19.0 |
True |
12 |
113 |
ASSAULT |
746.0 |
244.0 |
False |
-502 |
113 |
FELONY ASSAULT |
302.0 |
376.0 |
True |
74 |
113 |
PETIT LARCENY |
222.0 |
216.0 |
False |
-6 |
113 |
GRAND LARCENY |
155.0 |
125.0 |
False |
-30 |
113 |
ROBBERY |
110.0 |
85.0 |
False |
-25 |
113 |
FRAUD |
94.0 |
73.0 |
False |
-21 |
113 |
BURGLARY |
57.0 |
51.0 |
False |
-6 |
113 |
SEX CRIMES |
57.0 |
47.0 |
False |
-10 |
113 |
CAR THEFT |
42.0 |
57.0 |
True |
15 |
113 |
RAPE |
10.0 |
29.0 |
True |
19 |
113 |
BURGLAR’S TOOLS |
7.0 |
11.0 |
True |
4 |
114 |
ASSAULT |
652.0 |
246.0 |
False |
-406 |
114 |
PETIT LARCENY |
296.0 |
439.0 |
True |
143 |
114 |
FELONY ASSAULT |
257.0 |
264.0 |
True |
7 |
114 |
ROBBERY |
145.0 |
202.0 |
True |
57 |
114 |
GRAND LARCENY |
133.0 |
136.0 |
True |
3 |
114 |
BURGLARY |
55.0 |
108.0 |
True |
53 |
114 |
SEX CRIMES |
46.0 |
67.0 |
True |
21 |
114 |
FRAUD |
37.0 |
63.0 |
True |
26 |
114 |
CAR THEFT |
15.0 |
45.0 |
True |
30 |
114 |
BURGLAR’S TOOLS |
11.0 |
8.0 |
False |
-3 |
114 |
RAPE |
7.0 |
9.0 |
True |
2 |
115 |
ASSAULT |
753.0 |
235.0 |
False |
-518 |
115 |
FELONY ASSAULT |
282.0 |
407.0 |
True |
125 |
115 |
PETIT LARCENY |
220.0 |
195.0 |
False |
-25 |
115 |
THEFT RELATED |
200.0 |
12.0 |
False |
-188 |
115 |
ROBBERY |
165.0 |
114.0 |
False |
-51 |
115 |
GRAND LARCENY |
137.0 |
117.0 |
False |
-20 |
115 |
SEX CRIMES |
89.0 |
128.0 |
True |
39 |
115 |
BURGLARY |
61.0 |
88.0 |
True |
27 |
115 |
FRAUD |
41.0 |
28.0 |
False |
-13 |
115 |
CAR THEFT |
27.0 |
36.0 |
True |
9 |
115 |
BURGLAR’S TOOLS |
15.0 |
19.0 |
True |
4 |
115 |
RAPE |
12.0 |
4.0 |
False |
-8 |