Overview

Dataset statistics

Number of variables9
Number of observations149
Missing cells33
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory74.9 B

Variable types

Categorical3
Text3
Numeric2
DateTime1

Dataset

Description인천광역시 공설묘지의 정보공개(목록, 위치, 묘지명, 소재지, 허가면적, 묘역면적, 설치일자, 설치자, 전화번호)데이터 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15064932/fileData.do

Alerts

시설구분 has constant value ""Constant
허가면적(제곱미터) is highly overall correlated with 묘역면적(제곱미터) and 1 other fieldsHigh correlation
묘역면적(제곱미터) is highly overall correlated with 허가면적(제곱미터) and 1 other fieldsHigh correlation
관할행정구역 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 허가면적(제곱미터) and 2 other fieldsHigh correlation
허가면적(제곱미터) has 16 (10.7%) missing valuesMissing
묘역면적(제곱미터) has 16 (10.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:38:07.945544
Analysis finished2023-12-12 18:38:10.813861
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할행정구역
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
인천광역시
69 
인천광역시 강화군
63 
인천광역시 옹진군
12 
인천광역시 서구
 
4
인천광역시 중구
 
1

Length

Max length9
Median length9
Mean length7.114094
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 69
46.3%
인천광역시 강화군 63
42.3%
인천광역시 옹진군 12
 
8.1%
인천광역시 서구 4
 
2.7%
인천광역시 중구 1
 
0.7%

Length

2023-12-13T03:38:10.986274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:38:11.261342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 149
65.1%
강화군 63
27.5%
옹진군 12
 
5.2%
서구 4
 
1.7%
중구 1
 
0.4%

시설구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공설
149 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공설 149
100.0%

Length

2023-12-13T03:38:11.539265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:38:11.760355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공설 149
100.0%

시설명
Text

Distinct119
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T03:38:12.216392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length6.9865772
Min length2

Characters and Unicode

Total characters1041
Distinct characters107
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

Unique89 ?
Unique (%)59.7%

Sample

1st row검단조성묘지
2nd row고천리공설묘지
3rd row국화리공설묘지
4th row국화리공원묘지
5th row길정리 공원묘지
ValueCountFrequency (%)
공설묘지 50
 
24.6%
선두리공설묘지 2
 
1.0%
고천리공설묘지 2
 
1.0%
영종공설묘지 2
 
1.0%
봉소리 2
 
1.0%
월곳리공설묘지 2
 
1.0%
하일리공설묘지 2
 
1.0%
서검리 2
 
1.0%
석포리 2
 
1.0%
도장리공설묘지 2
 
1.0%
Other values (110) 135
66.5%
2023-12-13T03:38:13.082270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 140
13.4%
묘 136
13.1%
공 134
12.9%
설 130
12.5%
리 123
11.8%
56
 
5.4%
산 12
 
1.2%
동 12
 
1.2%
장 11
 
1.1%
도 11
 
1.1%
Other values (97) 276
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
93.6%
Space Separator 56
 
5.4%
Decimal Number 7
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 140
14.4%
묘 136
14.0%
공 134
13.8%
설 130
13.3%
리 123
12.6%
산 12
 
1.2%
동 12
 
1.2%
장 11
 
1.1%
도 11
 
1.1%
길 9
 
0.9%
Other values (92) 256
26.3%
Decimal Number
ValueCountFrequency (%)
1 5
71.4%
2 2
 
28.6%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
93.6%
Common 67
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 140
14.4%
묘 136
14.0%
공 134
13.8%
설 130
13.3%
리 123
12.6%
산 12
 
1.2%
동 12
 
1.2%
장 11
 
1.1%
도 11
 
1.1%
길 9
 
0.9%
Other values (92) 256
26.3%
Common
ValueCountFrequency (%)
56
83.6%
1 5
 
7.5%
( 2
 
3.0%
) 2
 
3.0%
2 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
93.6%
ASCII 67
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 140
14.4%
묘 136
14.0%
공 134
13.8%
설 130
13.3%
리 123
12.6%
산 12
 
1.2%
동 12
 
1.2%
장 11
 
1.1%
도 11
 
1.1%
길 9
 
0.9%
Other values (92) 256
26.3%
ASCII
ValueCountFrequency (%)
56
83.6%
1 5
 
7.5%
( 2
 
3.0%
) 2
 
3.0%
2 2
 
3.0%

소재지
Text

Distinct99
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T03:38:13.572833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.261745
Min length5

Characters and Unicode

Total characters1678
Distinct characters116
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

Unique94 ?
Unique (%)63.1%

Sample

1st row인천 서구 왕길동 산116번지 일원
2nd row내가면 고천리 산11
3rd row국화리산291
4th row국화리산224
5th row양도면 길정리산228-5
ValueCountFrequency (%)
인천광역시 79
20.7%
강화군 62
 
16.2%
옹진군 12
 
3.1%
서구 9
 
2.4%
교동면 8
 
2.1%
송해면 8
 
2.1%
길상면 6
 
1.6%
양도면 5
 
1.3%
삼산면 5
 
1.3%
화도면 5
 
1.3%
Other values (149) 183
47.9%
2023-12-13T03:38:14.373651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
14.1%
인 87
 
5.2%
천 87
 
5.2%
시 83
 
4.9%
산 81
 
4.8%
광 79
 
4.7%
역 79
 
4.7%
군 74
 
4.4%
리 74
 
4.4%
화 70
 
4.2%
Other values (106) 727
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1209
72.1%
Space Separator 237
 
14.1%
Decimal Number 211
 
12.6%
Dash Punctuation 13
 
0.8%
Other Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 87
 
7.2%
천 87
 
7.2%
시 83
 
6.9%
산 81
 
6.7%
광 79
 
6.5%
역 79
 
6.5%
군 74
 
6.1%
리 74
 
6.1%
화 70
 
5.8%
강 62
 
5.1%
Other values (92) 433
35.8%
Decimal Number
ValueCountFrequency (%)
1 50
23.7%
2 35
16.6%
8 22
10.4%
3 20
 
9.5%
4 20
 
9.5%
5 19
 
9.0%
0 12
 
5.7%
7 12
 
5.7%
9 11
 
5.2%
6 10
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1209
72.1%
Common 469
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 87
 
7.2%
천 87
 
7.2%
시 83
 
6.9%
산 81
 
6.7%
광 79
 
6.5%
역 79
 
6.5%
군 74
 
6.1%
리 74
 
6.1%
화 70
 
5.8%
강 62
 
5.1%
Other values (92) 433
35.8%
Common
ValueCountFrequency (%)
237
50.5%
1 50
 
10.7%
2 35
 
7.5%
8 22
 
4.7%
3 20
 
4.3%
4 20
 
4.3%
5 19
 
4.1%
- 13
 
2.8%
0 12
 
2.6%
7 12
 
2.6%
Other values (4) 29
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1209
72.1%
ASCII 469
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
50.5%
1 50
 
10.7%
2 35
 
7.5%
8 22
 
4.7%
3 20
 
4.3%
4 20
 
4.3%
5 19
 
4.1%
- 13
 
2.8%
0 12
 
2.6%
7 12
 
2.6%
Other values (4) 29
 
6.2%
Hangul
ValueCountFrequency (%)
인 87
 
7.2%
천 87
 
7.2%
시 83
 
6.9%
산 81
 
6.7%
광 79
 
6.5%
역 79
 
6.5%
군 74
 
6.1%
리 74
 
6.1%
화 70
 
5.8%
강 62
 
5.1%
Other values (92) 433
35.8%

허가면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct88
Distinct (%)66.2%
Missing16
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean30809.06
Minimum694
Maximum1668729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T03:38:14.634492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum694
5-th percentile1659
Q18265
median12418
Q320727
95-th percentile46175.6
Maximum1668729
Range1668035
Interquartile range (IQR)12462

Descriptive statistics

Standard deviation145167.97
Coefficient of variation (CV)4.7118597
Kurtosis125.44425
Mean30809.06
Median Absolute Deviation (MAD)5476
Skewness11.066543
Sum4097605
Variance2.1073739 × 1010
MonotonicityNot monotonic
2023-12-13T03:38:14.929487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26281 3
 
2.0%
10017 3
 
2.0%
10413 3
 
2.0%
12099 3
 
2.0%
16760 2
 
1.3%
8926 2
 
1.3%
6942 2
 
1.3%
29058 2
 
1.3%
6744 2
 
1.3%
22017 2
 
1.3%
Other values (78) 109
73.2%
(Missing) 16
 
10.7%
ValueCountFrequency (%)
694 2
1.3%
893 2
1.3%
990 1
0.7%
1653 2
1.3%
1663 2
1.3%
1697 1
0.7%
3016 1
0.7%
3314 1
0.7%
3768 1
0.7%
3914 1
0.7%
ValueCountFrequency (%)
1668729 1
0.7%
225907 1
0.7%
116003 1
0.7%
103013 1
0.7%
71583 1
0.7%
57724 1
0.7%
47009 1
0.7%
45620 1
0.7%
44331 1
0.7%
40859 1
0.7%

묘역면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct88
Distinct (%)66.2%
Missing16
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean30306.902
Minimum694
Maximum1668729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T03:38:15.183644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum694
5-th percentile1659
Q18265
median12418
Q320727
95-th percentile46175.6
Maximum1668729
Range1668035
Interquartile range (IQR)12462

Descriptive statistics

Standard deviation144982.55
Coefficient of variation (CV)4.7838128
Kurtosis126.2607
Mean30306.902
Median Absolute Deviation (MAD)5476
Skewness11.118063
Sum4030818
Variance2.1019939 × 1010
MonotonicityNot monotonic
2023-12-13T03:38:15.461638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26281 3
 
2.0%
10017 3
 
2.0%
10413 3
 
2.0%
12099 3
 
2.0%
16760 2
 
1.3%
8926 2
 
1.3%
6942 2
 
1.3%
29058 2
 
1.3%
12893 2
 
1.3%
6744 2
 
1.3%
Other values (78) 109
73.2%
(Missing) 16
 
10.7%
ValueCountFrequency (%)
694 2
1.3%
893 2
1.3%
990 1
0.7%
1653 2
1.3%
1663 2
1.3%
1697 1
0.7%
3016 1
0.7%
3272 1
0.7%
3768 1
0.7%
3914 1
0.7%
ValueCountFrequency (%)
1668729 1
0.7%
225907 1
0.7%
103013 1
0.7%
71583 1
0.7%
57724 1
0.7%
47223 1
0.7%
47009 1
0.7%
45620 1
0.7%
44331 1
0.7%
40859 1
0.7%

설치일자
Date

Distinct55
Distinct (%)37.2%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
Minimum1882-06-04 00:00:00
Maximum2013-02-28 00:00:00
2023-12-13T03:38:15.709589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:15.951774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치자
Text

Distinct79
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T03:38:16.378262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length5.5436242
Min length2

Characters and Unicode

Total characters826
Distinct characters103
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

Unique74 ?
Unique (%)49.7%

Sample

1st row검단조성묘지
2nd row고천리공설묘지
3rd row국화리공설묘지
4th row국화리공원묘지
5th row길정리 공원묘지
ValueCountFrequency (%)
강화군수 55
29.3%
공설묘지 27
 
14.4%
인천광역시 9
 
4.8%
옹진군 9
 
4.8%
강화군 7
 
3.7%
서구청장 3
 
1.6%
영종공설묘지 2
 
1.1%
외포리공설묘지 1
 
0.5%
검단조성묘지 1
 
0.5%
왕길 1
 
0.5%
Other values (73) 73
38.8%
2023-12-13T03:38:17.677661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 72
 
8.7%
화 66
 
8.0%
강 63
 
7.6%
지 63
 
7.6%
묘 61
 
7.4%
공 59
 
7.1%
수 58
 
7.0%
설 56
 
6.8%
리 52
 
6.3%
40
 
4.8%
Other values (93) 236
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
94.4%
Space Separator 40
 
4.8%
Decimal Number 4
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 72
 
9.2%
화 66
 
8.5%
강 63
 
8.1%
지 63
 
8.1%
묘 61
 
7.8%
공 59
 
7.6%
수 58
 
7.4%
설 56
 
7.2%
리 52
 
6.7%
인 11
 
1.4%
Other values (89) 219
28.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
94.4%
Common 46
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 72
 
9.2%
화 66
 
8.5%
강 63
 
8.1%
지 63
 
8.1%
묘 61
 
7.8%
공 59
 
7.6%
수 58
 
7.4%
설 56
 
7.2%
리 52
 
6.7%
인 11
 
1.4%
Other values (89) 219
28.1%
Common
ValueCountFrequency (%)
40
87.0%
1 4
 
8.7%
( 1
 
2.2%
) 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
94.4%
ASCII 46
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 72
 
9.2%
화 66
 
8.5%
강 63
 
8.1%
지 63
 
8.1%
묘 61
 
7.8%
공 59
 
7.6%
수 58
 
7.4%
설 56
 
7.2%
리 52
 
6.7%
인 11
 
1.4%
Other values (89) 219
28.1%
ASCII
ValueCountFrequency (%)
40
87.0%
1 4
 
8.7%
( 1
 
2.2%
) 1
 
2.2%

전화번호
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
81 
032-899-2333
 
7
032-930-3604
 
7
032-930-3612
 
6
032-933-5302
 
5
Other values (16)
43 

Length

Max length12
Median length4
Mean length7.6510067
Min length4

Unique

Unique5 ?
Unique (%)3.4%

Sample

1st row032-561-1597
2nd row032-930-3607
3rd row031-934-0002
4th row032-934-0002
5th row032-937-2001

Common Values

ValueCountFrequency (%)
<NA> 81
54.4%
032-899-2333 7
 
4.7%
032-930-3604 7
 
4.7%
032-930-3612 6
 
4.0%
032-933-5302 5
 
3.4%
032-937-2001 5
 
3.4%
032-934-2183 5
 
3.4%
032-934-4302 4
 
2.7%
032-930-3611 4
 
2.7%
032-930-3607 4
 
2.7%
Other values (11) 21
 
14.1%

Length

2023-12-13T03:38:17.968846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 81
54.4%
032-930-3604 7
 
4.7%
032-899-2333 7
 
4.7%
032-930-3612 6
 
4.0%
032-933-5302 5
 
3.4%
032-937-2001 5
 
3.4%
032-934-2183 5
 
3.4%
032-930-3607 4
 
2.7%
032-560-4544 4
 
2.7%
032-930-3605 4
 
2.7%
Other values (11) 21
 
14.1%

Interactions

2023-12-13T03:38:09.656100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:09.201409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:09.898407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:38:09.411110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:38:18.248538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할행정구역소재지허가면적(제곱미터)묘역면적(제곱미터)설치일자설치자전화번호
관할행정구역1.0001.0000.0000.0000.9610.9770.915
소재지1.0001.0001.0001.0000.9781.0001.000
허가면적(제곱미터)0.0001.0001.0001.0000.7981.0000.806
묘역면적(제곱미터)0.0001.0001.0001.0000.8031.0000.806
설치일자0.9610.9780.7980.8031.0000.9100.983
설치자0.9771.0001.0001.0000.9101.0001.000
전화번호0.9151.0000.8060.8060.9831.0001.000
2023-12-13T03:38:18.485451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할행정구역전화번호
관할행정구역1.0000.666
전화번호0.6661.000
2023-12-13T03:38:18.643127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가면적(제곱미터)묘역면적(제곱미터)관할행정구역전화번호
허가면적(제곱미터)1.0000.9970.0000.539
묘역면적(제곱미터)0.9971.0000.0000.539
관할행정구역0.0000.0001.0000.666
전화번호0.5390.5390.6661.000

Missing values

2023-12-13T03:38:10.176054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:38:10.431795image/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.
2023-12-13T03:38:10.683720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관할행정구역시설구분시설명소재지허가면적(제곱미터)묘역면적(제곱미터)설치일자설치자전화번호
0인천광역시공설검단조성묘지인천 서구 왕길동 산116번지 일원12099120991973-11-01검단조성묘지032-561-1597
1인천광역시공설고천리공설묘지내가면 고천리 산1110016100161980-04-22고천리공설묘지032-930-3607
2인천광역시공설국화리공설묘지국화리산29136992369921913-02-10국화리공설묘지031-934-0002
3인천광역시공설국화리공원묘지국화리산224495949591974-12-12국화리공원묘지032-934-0002
4인천광역시공설길정리 공원묘지양도면 길정리산228-5165316531973-09-20길정리 공원묘지032-937-2001
5인천광역시공설길직리 공설묘지길상면 길직리 산24716760167601914-03-01길직리 공설묘지032-930-3604
6인천광역시공설길직리공원묘지길상면 길직리 1164-2166316631914-03-01길직리공원묘지032-930-3604
7인천광역시공설남산리공설묘지남산리산5011900119001913-02-01남산리공설묘지032-934-0003
8인천광역시공설내리 공설묘지화도면 내리 산44,1833024330241934-12-08내리 공설묘지032-930-3605
9인천광역시공설내리1내리 산258외 471583715831960-01-01내리1032-899-2333
관할행정구역시설구분시설명소재지허가면적(제곱미터)묘역면적(제곱미터)설치일자설치자전화번호
139인천광역시 옹진군공설장봉리 공설묘지인천광역시 옹진군 북도면 장봉2리<NA><NA>2012-06-22옹진군<NA>
140인천광역시 옹진군공설선재리 공설묘지인천광역시 옹진군 영흥면<NA><NA>2013-02-28옹진군<NA>
141인천광역시 옹진군공설내리 공설묘지인천광역시 옹진군 영흥면<NA><NA>2013-02-28옹진군<NA>
142인천광역시 옹진군공설모도리 공설묘지인천광역시 옹진군 북도면 모도리<NA><NA>2010-12-12옹진군<NA>
143인천광역시 옹진군공설자월리 공설묘지인천광역시 옹진군 자월면<NA><NA>2011-01-10옹진군<NA>
144인천광역시 옹진군공설대청면 공설묘지인천광역시 옹진군 대청면 대청리 산299301630162010-06-06옹진군<NA>
145인천광역시 옹진군공설진리 공설묘지인천광역시 옹진군 덕적면<NA><NA>2010-12-29옹진군<NA>
146인천광역시 옹진군공설진촌리 공설묘지인천광역시 옹진군 백령면 진촌4리<NA><NA>2011-06-09옹진군<NA>
147인천광역시 옹진군공설외리 공동묘지인천광역시 옹진군<NA><NA>2013-02-28외리 공설묘지<NA>
148인천광역시 옹진군공설이작리 공설묘지(대이작 공설묘지)인천광역시 옹진군 자월면169716972012-12-27이작1리 공설묘지(대이작공설묘지)<NA>