Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory78.7 B

Variable types

Numeric1
Text4
Categorical4

Dataset

Description경기도 양주시 주민자율방범대 현황으로 읍면동, 방범대명, 주당 근무일, 근무요일, 근무시간, 초소위치 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15119187/fileData.do

Alerts

담당부서 has constant value ""Constant
데이터기준일 has constant value ""Constant
주당 근무일 is highly overall correlated with 근무요일High correlation
근무요일 is highly overall correlated with 주당 근무일High correlation
연번 has unique valuesUnique
방범대명 has unique valuesUnique
초소위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:23:03.810158
Analysis finished2023-12-12 20:23:04.564490
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T05:23:04.628124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-13T05:23:04.761494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%
Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:23:04.948553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length3.6956522
Min length2

Characters and Unicode

Total characters85
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)26.1%

Sample

1st row경찰서(1개대)
2nd row백석읍
3rd row백석읍
4th row은현면
5th row은현면
ValueCountFrequency (%)
장흥면 4
17.4%
회천2동 4
17.4%
회천4동 3
13.0%
백석읍 2
8.7%
은현면 2
8.7%
양주2동 2
8.7%
경찰서(1개대 1
 
4.3%
남면 1
 
4.3%
광적면 1
 
4.3%
양주1동 1
 
4.3%
Other values (2) 2
8.7%
2023-12-13T05:23:05.308470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
14.1%
9
 
10.6%
9
 
10.6%
8
 
9.4%
2 6
 
7.1%
4
 
4.7%
4
 
4.7%
1 3
 
3.5%
3
 
3.5%
3
 
3.5%
Other values (17) 24
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
82.4%
Decimal Number 13
 
15.3%
Close Punctuation 1
 
1.2%
Open Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
17.1%
9
12.9%
9
12.9%
8
11.4%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
Other values (11) 14
20.0%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
1 3
23.1%
4 3
23.1%
3 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
82.4%
Common 15
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
17.1%
9
12.9%
9
12.9%
8
11.4%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
Other values (11) 14
20.0%
Common
ValueCountFrequency (%)
2 6
40.0%
1 3
20.0%
4 3
20.0%
) 1
 
6.7%
( 1
 
6.7%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
82.4%
ASCII 15
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
17.1%
9
12.9%
9
12.9%
8
11.4%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
Other values (11) 14
20.0%
ASCII
ValueCountFrequency (%)
2 6
40.0%
1 3
20.0%
4 3
20.0%
) 1
 
6.7%
( 1
 
6.7%
3 1
 
6.7%

방범대명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:23:05.508355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.173913
Min length7

Characters and Unicode

Total characters234
Distinct characters61
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row양주 외국인자율방범대
2nd row백석파출소 자율방범대
3rd row백석서광아파트 자율방범대
4th row봉암리 자율방범대
5th row은현자율방범대
ValueCountFrequency (%)
자율방범대 15
35.7%
양주 1
 
2.4%
고주내 1
 
2.4%
회천4동 1
 
2.4%
세창아파트자율방범대 1
 
2.4%
통합자율방범대 1
 
2.4%
회천3동 1
 
2.4%
신우아파트 1
 
2.4%
한주아파트 1
 
2.4%
덕계12통 1
 
2.4%
Other values (18) 18
42.9%
2023-12-13T05:23:05.854025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
10.3%
23
 
9.8%
23
 
9.8%
23
 
9.8%
23
 
9.8%
20
 
8.5%
7
 
3.0%
1 5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (51) 76
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
87.6%
Space Separator 20
 
8.5%
Decimal Number 9
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
11.7%
23
 
11.2%
23
 
11.2%
23
 
11.2%
23
 
11.2%
7
 
3.4%
5
 
2.4%
5
 
2.4%
4
 
2.0%
4
 
2.0%
Other values (46) 64
31.2%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
3 1
 
11.1%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
87.6%
Common 29
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
11.7%
23
 
11.2%
23
 
11.2%
23
 
11.2%
23
 
11.2%
7
 
3.4%
5
 
2.4%
5
 
2.4%
4
 
2.0%
4
 
2.0%
Other values (46) 64
31.2%
Common
ValueCountFrequency (%)
20
69.0%
1 5
 
17.2%
2 2
 
6.9%
3 1
 
3.4%
4 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
87.6%
ASCII 29
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
11.7%
23
 
11.2%
23
 
11.2%
23
 
11.2%
23
 
11.2%
7
 
3.4%
5
 
2.4%
5
 
2.4%
4
 
2.0%
4
 
2.0%
Other values (46) 64
31.2%
ASCII
ValueCountFrequency (%)
20
69.0%
1 5
 
17.2%
2 2
 
6.9%
3 1
 
3.4%
4 1
 
3.4%

주당 근무일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
5일
6일
4일
1일
3일

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row1일
2nd row6일
3rd row6일
4th row5일
5th row5일

Common Values

ValueCountFrequency (%)
5일 9
39.1%
6일 5
21.7%
4일 4
17.4%
1일 2
 
8.7%
3일 2
 
8.7%
2일 1
 
4.3%

Length

2023-12-13T05:23:05.990506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:06.097400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5일 9
39.1%
6일 5
21.7%
4일 4
17.4%
1일 2
 
8.7%
3일 2
 
8.7%
2일 1
 
4.3%

근무요일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
월,화,수,목,금
월,화,수,목,금,토
월,수,금
월,수,목,금
Other values (5)

Length

Max length11
Median length10
Mean length7.9130435
Min length1

Unique

Unique7 ?
Unique (%)30.4%

Sample

1st row
2nd row월,화,수,목,금,토
3rd row월,화,수,목,금,토
4th row월,화,수,목,금
5th row월,화,수,목,금

Common Values

ValueCountFrequency (%)
월,화,수,목,금 9
39.1%
월,화,수,목,금,토 5
21.7%
월,수,금 2
 
8.7%
1
 
4.3%
월,수,목,금 1
 
4.3%
월,화,목,금 1
 
4.3%
월,화,수,목 1
 
4.3%
1
 
4.3%
월, 수, 금, 토 1
 
4.3%
화,목 1
 
4.3%

Length

2023-12-13T05:23:06.202757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:06.300743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월,화,수,목,금 9
34.6%
월,화,수,목,금,토 5
19.2%
월,수,금 2
 
7.7%
2
 
7.7%
월,수,목,금 1
 
3.8%
월,화,목,금 1
 
3.8%
월,화,수,목 1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (2) 2
 
7.7%
Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:23:06.429574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.565217
Min length3

Characters and Unicode

Total characters289
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row20:00 ~ 21:00
2nd row21:00 ~ 24:00
3rd row20:00 ~ 23:00
4th row20:00 ~ 22:30
5th row21:00 ~ 24:00
ValueCountFrequency (%)
22
32.8%
21:00 10
14.9%
20:00 9
13.4%
23:00 8
 
11.9%
24:00 7
 
10.4%
22:00 3
 
4.5%
19:00 2
 
3.0%
22:30 1
 
1.5%
00:00 1
 
1.5%
16:00 1
 
1.5%
Other values (3) 3
 
4.5%
2023-12-13T05:23:06.645521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 96
33.2%
: 44
15.2%
44
15.2%
2 43
14.9%
~ 22
 
7.6%
1 14
 
4.8%
3 13
 
4.5%
4 7
 
2.4%
9 3
 
1.0%
6 1
 
0.3%
Other values (2) 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177
61.2%
Other Punctuation 44
 
15.2%
Space Separator 44
 
15.2%
Math Symbol 22
 
7.6%
Other Letter 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 96
54.2%
2 43
24.3%
1 14
 
7.9%
3 13
 
7.3%
4 7
 
4.0%
9 3
 
1.7%
6 1
 
0.6%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Other Punctuation
ValueCountFrequency (%)
: 44
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 287
99.3%
Hangul 2
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 96
33.4%
: 44
15.3%
44
15.3%
2 43
15.0%
~ 22
 
7.7%
1 14
 
4.9%
3 13
 
4.5%
4 7
 
2.4%
9 3
 
1.0%
6 1
 
0.3%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 287
99.3%
Hangul 2
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 96
33.4%
: 44
15.3%
44
15.3%
2 43
15.0%
~ 22
 
7.7%
1 14
 
4.9%
3 13
 
4.5%
4 7
 
2.4%
9 3
 
1.0%
6 1
 
0.3%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

초소위치
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:23:06.868226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length25.521739
Min length15

Characters and Unicode

Total characters587
Distinct characters106
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경기도 양주시 광적면 가래비길 54 광적파출소 내 시민경찰대 사무실
2nd row경기도 양주시 백석읍 꿈나무로 142 백석파출소 옆
3rd row경기도 양주시 백석읍 양주산성로 838-71 백석 서광아파트 단지 내
4th row경기도 양주시 은현면 봉암길 33
5th row경기도 양주시 은현면 은현로55번길 6
ValueCountFrequency (%)
경기도 24
 
17.6%
양주시 23
 
16.9%
장흥면 4
 
2.9%
4
 
2.9%
4
 
2.9%
백석읍 2
 
1.5%
은현면 2
 
1.5%
덕계동 2
 
1.5%
마을회관 2
 
1.5%
평화로 2
 
1.5%
Other values (65) 67
49.3%
2023-12-13T05:23:07.313083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
19.4%
25
 
4.3%
25
 
4.3%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
1 23
 
3.9%
5 11
 
1.9%
6 10
 
1.7%
Other values (96) 283
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
61.7%
Space Separator 114
 
19.4%
Decimal Number 91
 
15.5%
Dash Punctuation 10
 
1.7%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
6.9%
25
 
6.9%
24
 
6.6%
24
 
6.6%
24
 
6.6%
24
 
6.6%
10
 
2.8%
10
 
2.8%
8
 
2.2%
8
 
2.2%
Other values (82) 180
49.7%
Decimal Number
ValueCountFrequency (%)
1 23
25.3%
5 11
12.1%
6 10
11.0%
2 10
11.0%
3 9
 
9.9%
4 9
 
9.9%
7 6
 
6.6%
8 5
 
5.5%
0 5
 
5.5%
9 3
 
3.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
61.7%
Common 225
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
6.9%
25
 
6.9%
24
 
6.6%
24
 
6.6%
24
 
6.6%
24
 
6.6%
10
 
2.8%
10
 
2.8%
8
 
2.2%
8
 
2.2%
Other values (82) 180
49.7%
Common
ValueCountFrequency (%)
114
50.7%
1 23
 
10.2%
5 11
 
4.9%
6 10
 
4.4%
2 10
 
4.4%
- 10
 
4.4%
3 9
 
4.0%
4 9
 
4.0%
7 6
 
2.7%
8 5
 
2.2%
Other values (4) 18
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
61.7%
ASCII 225
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
50.7%
1 23
 
10.2%
5 11
 
4.9%
6 10
 
4.4%
2 10
 
4.4%
- 10
 
4.4%
3 9
 
4.0%
4 9
 
4.0%
7 6
 
2.7%
8 5
 
2.2%
Other values (4) 18
 
8.0%
Hangul
ValueCountFrequency (%)
25
 
6.9%
25
 
6.9%
24
 
6.6%
24
 
6.6%
24
 
6.6%
24
 
6.6%
10
 
2.8%
10
 
2.8%
8
 
2.2%
8
 
2.2%
Other values (82) 180
49.7%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
자치행정과
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치행정과
2nd row자치행정과
3rd row자치행정과
4th row자치행정과
5th row자치행정과

Common Values

ValueCountFrequency (%)
자치행정과 23
100.0%

Length

2023-12-13T05:23:07.427030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:07.510152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치행정과 23
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-10
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-10
2nd row2023-08-10
3rd row2023-08-10
4th row2023-08-10
5th row2023-08-10

Common Values

ValueCountFrequency (%)
2023-08-10 23
100.0%

Length

2023-12-13T05:23:07.605884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:07.698277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-10 23
100.0%

Interactions

2023-12-13T05:23:04.166150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:23:07.762589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동방범대명주당 근무일근무요일근무시간초소위치
연번1.0000.9191.0000.2970.4010.0001.000
읍면동0.9191.0001.0000.9190.8300.0001.000
방범대명1.0001.0001.0001.0001.0001.0001.000
주당 근무일0.2970.9191.0001.0001.0000.5671.000
근무요일0.4010.8301.0001.0001.0000.0001.000
근무시간0.0000.0001.0000.5670.0001.0001.000
초소위치1.0001.0001.0001.0001.0001.0001.000
2023-12-13T05:23:07.867783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주당 근무일근무요일
주당 근무일1.0000.874
근무요일0.8741.000
2023-12-13T05:23:07.973397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주당 근무일근무요일
연번1.0000.0000.160
주당 근무일0.0001.0000.874
근무요일0.1600.8741.000

Missing values

2023-12-13T05:23:04.294802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:23:04.500681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번읍면동방범대명주당 근무일근무요일근무시간초소위치담당부서데이터기준일
01경찰서(1개대)양주 외국인자율방범대1일20:00 ~ 21:00경기도 양주시 광적면 가래비길 54 광적파출소 내 시민경찰대 사무실자치행정과2023-08-10
12백석읍백석파출소 자율방범대6일월,화,수,목,금,토21:00 ~ 24:00경기도 양주시 백석읍 꿈나무로 142 백석파출소 옆자치행정과2023-08-10
23백석읍백석서광아파트 자율방범대6일월,화,수,목,금,토20:00 ~ 23:00경기도 양주시 백석읍 양주산성로 838-71 백석 서광아파트 단지 내자치행정과2023-08-10
34은현면봉암리 자율방범대5일월,화,수,목,금20:00 ~ 22:30경기도 양주시 은현면 봉암길 33자치행정과2023-08-10
45은현면은현자율방범대5일월,화,수,목,금21:00 ~ 24:00경기도 양주시 은현면 은현로55번길 6자치행정과2023-08-10
56남면남면주민자율방범대4일월,수,목,금20:00 ~ 23:00경기도 양주시 남면 개나리길 50 (남면파출소 내)자치행정과2023-08-10
67광적면광적자율방범대5일월,화,수,목,금21:00 ~ 00:00경기도 양주시 광적면 삼일로 20자치행정과2023-08-10
78장흥면장흥면 자율방범대4일월,화,목,금21:00 ~ 24:00경기도 양주시 장흥면 일영리 145(장흥파출소 옆)자치행정과2023-08-10
89장흥면부곡1리 자율방범대6일월,화,수,목,금,토19:00 ~ 24:00경기도 양주시 장흥면 부곡1리 191-2(부곡1리 마을회관)자치행정과2023-08-10
910장흥면삼상1리 자율방범대6일월,화,수,목,금,토16:00 ~ 22:00경기도 양주시 장흥면 삼상리 산47-2(이곡교 다리 앞)자치행정과2023-08-10
연번읍면동방범대명주당 근무일근무요일근무시간초소위치담당부서데이터기준일
1314양주2동양주2동 여성자율방범대1일20:00 ~ 22:00경기도 양주시 삼숭동615-6자치행정과2023-08-10
1415회천1동회천1동 자율방범대3일월,수,금20:00 ~ 22:00경기도 양주시 회정로 83-39 회천청년회 사무실자치행정과2023-08-10
1516회천2동덕계지구대 자율방범대5일월,화,수,목,금20:00 ~ 23:00경기도 양주시 덕계동 682 덕계 파출소 옆 컨테이너자치행정과2023-08-10
1617회천2동덕계12통 자율방범대5일월,화,수,목,금21:00 ~ 24:00경기도 양주시 덕계동 423-7 롯데슈퍼 건너편자치행정과2023-08-10
1718회천2동한주아파트 자율방범대5일월,화,수,목,금3시간경기도 양주시 평화로 1429번길 66 한주아파트 내외 102동 놀이터 옆자치행정과2023-08-10
1819회천2동신우아파트 자율방범대5일월,화,수,목,금21:00 ~ 23:00경기도 양주시 평화로 1416번길 14 신우아파트 내자치행정과2023-08-10
1920회천3동회천3동 통합자율방범대3일월,수,금20:00 ~ 23:00경기도 양주시 고암길 306-31자치행정과2023-08-10
2021회천4동세창아파트자율방범대4일월, 수, 금, 토21:00 ~ 23:30경기도 양주시 옥정동 산11-5자치행정과2023-08-10
2122회천4동회천4동 자율방범대5일월,화,수,목,금19:30 ~ 23:00경기도 양주시 화합로1615-1자치행정과2023-08-10
2223회천4동특전사 자율방범대2일화,목19:00 ~ 23:00경기도 양주시 율정동 577-40자치행정과2023-08-10