Overview

Dataset statistics

Number of variables7
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory57.8 B

Variable types

Categorical2
Numeric1
Text4

Dataset

Description인천광역시에 있는 각종 지정 문화재의 세부 정보와 명칭, 소재지, 수량, 소유자, 지정일자 등을 명확하게 알 수 있습니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15055875

Alerts

지정번호 is highly overall correlated with 지정일자High correlation
지정일자 is highly overall correlated with 지정번호High correlation

Reproduction

Analysis started2024-01-28 16:46:51.806834
Analysis finished2024-01-28 16:46:52.699689
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유형문화재
72 
기념물
62 
문화재자료
26 
민속문화재
 
2

Length

Max length5
Median length5
Mean length4.2345679
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 72
44.4%
기념물 62
38.3%
문화재자료 26
 
16.0%
민속문화재 2
 
1.2%

Length

2024-01-29T01:46:52.778602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:46:52.904358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 72
44.4%
기념물 62
38.3%
문화재자료 26
 
16.0%
민속문화재 2
 
1.2%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.179012
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-29T01:46:53.049796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q116.25
median32
Q354
95-th percentile72.95
Maximum81
Range80
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation22.603497
Coefficient of variation (CV)0.6425279
Kurtosis-1.1146935
Mean35.179012
Median Absolute Deviation (MAD)19
Skewness0.24872284
Sum5699
Variance510.91807
MonotonicityNot monotonic
2024-01-29T01:46:53.220379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
1.9%
16 3
 
1.9%
29 3
 
1.9%
28 3
 
1.9%
27 3
 
1.9%
26 3
 
1.9%
25 3
 
1.9%
2 3
 
1.9%
20 3
 
1.9%
19 3
 
1.9%
Other values (71) 132
81.5%
ValueCountFrequency (%)
1 3
1.9%
2 3
1.9%
3 3
1.9%
4 3
1.9%
5 3
1.9%
6 3
1.9%
7 3
1.9%
8 3
1.9%
9 3
1.9%
10 1
 
0.6%
ValueCountFrequency (%)
81 1
0.6%
80 1
0.6%
79 1
0.6%
78 1
0.6%
77 1
0.6%
76 1
0.6%
75 1
0.6%
74 1
0.6%
73 1
0.6%
72 1
0.6%

명칭
Text

Distinct161
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T01:46:53.666361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length7.8395062
Min length2

Characters and Unicode

Total characters1270
Distinct characters256
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)98.8%

Sample

1st row인천도호부관아
2nd row부평도호부관아
3rd row원대철제범종
4th row송대철제범종
5th row관음좌상
ValueCountFrequency (%)
강화 14
 
4.4%
묘 13
 
4.1%
전등사 10
 
3.2%
돈대 7
 
2.2%
묘역 6
 
1.9%
흥륜사 4
 
1.3%
보문사 4
 
1.3%
종중 3
 
1.0%
용궁사 3
 
1.0%
청련사 3
 
1.0%
Other values (228) 248
78.7%
2024-01-29T01:46:54.220038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
12.3%
사 44
 
3.5%
대 35
 
2.8%
화 31
 
2.4%
묘 28
 
2.2%
강 23
 
1.8%
지 22
 
1.7%
수 20
 
1.6%
인 20
 
1.6%
전 19
 
1.5%
Other values (246) 872
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1089
85.7%
Space Separator 156
 
12.3%
Decimal Number 17
 
1.3%
Close Punctuation 5
 
0.4%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 44
 
4.0%
대 35
 
3.2%
화 31
 
2.8%
묘 28
 
2.6%
강 23
 
2.1%
지 22
 
2.0%
수 20
 
1.8%
인 20
 
1.8%
전 19
 
1.7%
도 16
 
1.5%
Other values (233) 831
76.3%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
3 3
17.6%
8 3
17.6%
2 2
 
11.8%
0 1
 
5.9%
7 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
Space Separator
ValueCountFrequency (%)
156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1089
85.7%
Common 181
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 44
 
4.0%
대 35
 
3.2%
화 31
 
2.8%
묘 28
 
2.6%
강 23
 
2.1%
지 22
 
2.0%
수 20
 
1.8%
인 20
 
1.8%
전 19
 
1.7%
도 16
 
1.5%
Other values (233) 831
76.3%
Common
ValueCountFrequency (%)
156
86.2%
1 5
 
2.8%
) 5
 
2.8%
3 3
 
1.7%
8 3
 
1.7%
2 2
 
1.1%
, 1
 
0.6%
0 1
 
0.6%
- 1
 
0.6%
7 1
 
0.6%
Other values (3) 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1089
85.7%
ASCII 181
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
86.2%
1 5
 
2.8%
) 5
 
2.8%
3 3
 
1.7%
8 3
 
1.7%
2 2
 
1.1%
, 1
 
0.6%
0 1
 
0.6%
- 1
 
0.6%
7 1
 
0.6%
Other values (3) 3
 
1.7%
Hangul
ValueCountFrequency (%)
사 44
 
4.0%
대 35
 
3.2%
화 31
 
2.8%
묘 28
 
2.6%
강 23
 
2.1%
지 22
 
2.0%
수 20
 
1.8%
인 20
 
1.8%
전 19
 
1.7%
도 16
 
1.5%
Other values (233) 831
76.3%

수량
Text

Distinct127
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T01:46:54.506018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.8950617
Min length2

Characters and Unicode

Total characters1117
Distinct characters37
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)74.7%

Sample

1st row2동(17589.9㎡)
2nd row1동(17566㎡)
3rd row1기
4th row1기
5th row1구
ValueCountFrequency (%)
1폭 14
 
8.6%
1구 7
 
4.3%
1기 6
 
3.7%
1점 6
 
3.7%
1책 5
 
3.1%
1축 3
 
1.9%
9기(177577㎡ 1
 
0.6%
2동(17589.9㎡ 1
 
0.6%
18기(414212.1㎡ 1
 
0.6%
694㎡ 1
 
0.6%
Other values (117) 117
72.2%
2024-01-29T01:46:55.387461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 198
17.7%
㎡ 111
 
9.9%
) 90
 
8.1%
( 90
 
8.1%
2 69
 
6.2%
7 55
 
4.9%
. 54
 
4.8%
6 53
 
4.7%
기 47
 
4.2%
3 47
 
4.2%
Other values (27) 303
27.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 618
55.3%
Other Letter 153
 
13.7%
Other Symbol 111
 
9.9%
Close Punctuation 90
 
8.1%
Open Punctuation 90
 
8.1%
Other Punctuation 54
 
4.8%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 47
30.7%
동 31
20.3%
폭 14
 
9.2%
곽 12
 
7.8%
책 10
 
6.5%
점 7
 
4.6%
구 7
 
4.6%
권 4
 
2.6%
축 3
 
2.0%
주 3
 
2.0%
Other values (12) 15
 
9.8%
Decimal Number
ValueCountFrequency (%)
1 198
32.0%
2 69
 
11.2%
7 55
 
8.9%
6 53
 
8.6%
3 47
 
7.6%
5 47
 
7.6%
9 41
 
6.6%
4 40
 
6.5%
8 35
 
5.7%
0 33
 
5.3%
Other Symbol
ValueCountFrequency (%)
㎡ 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Other Punctuation
ValueCountFrequency (%)
. 54
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 964
86.3%
Hangul 153
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 47
30.7%
동 31
20.3%
폭 14
 
9.2%
곽 12
 
7.8%
책 10
 
6.5%
점 7
 
4.6%
구 7
 
4.6%
권 4
 
2.6%
축 3
 
2.0%
주 3
 
2.0%
Other values (12) 15
 
9.8%
Common
ValueCountFrequency (%)
1 198
20.5%
㎡ 111
11.5%
) 90
9.3%
( 90
9.3%
2 69
 
7.2%
7 55
 
5.7%
. 54
 
5.6%
6 53
 
5.5%
3 47
 
4.9%
5 47
 
4.9%
Other values (5) 150
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 853
76.4%
Hangul 153
 
13.7%
CJK Compat 111
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 198
23.2%
) 90
10.6%
( 90
10.6%
2 69
 
8.1%
7 55
 
6.4%
. 54
 
6.3%
6 53
 
6.2%
3 47
 
5.5%
5 47
 
5.5%
9 41
 
4.8%
Other values (4) 109
12.8%
CJK Compat
ValueCountFrequency (%)
㎡ 111
100.0%
Hangul
ValueCountFrequency (%)
기 47
30.7%
동 31
20.3%
폭 14
 
9.2%
곽 12
 
7.8%
책 10
 
6.5%
점 7
 
4.6%
구 7
 
4.6%
권 4
 
2.6%
축 3
 
2.0%
주 3
 
2.0%
Other values (12) 15
 
9.8%

소재지
Text

Distinct118
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T01:46:55.747936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length21.580247
Min length12

Characters and Unicode

Total characters3496
Distinct characters148
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

Unique105 ?
Unique (%)64.8%

Sample

1st row인천광역시 미추홀구 매소홀로 553
2nd row인천광역시 계양구 어사대로 20
3rd row인천광역시 연수구 청량로160번길 26
4th row인천광역시 연수구 청량로160번길 26
5th row인천광역시 연수구 청량로160번길 26
ValueCountFrequency (%)
인천광역시 162
23.1%
강화군 76
 
10.9%
연수구 26
 
3.7%
중구 17
 
2.4%
전등사로 13
 
1.9%
37-41 13
 
1.9%
서구 12
 
1.7%
청량로160번길 11
 
1.6%
26 9
 
1.3%
청량로70번길 9
 
1.3%
Other values (228) 352
50.3%
2024-01-29T01:46:56.258967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
540
 
15.4%
인 166
 
4.7%
천 166
 
4.7%
시 164
 
4.7%
광 162
 
4.6%
역 162
 
4.6%
1 148
 
4.2%
번 112
 
3.2%
화 96
 
2.7%
로 90
 
2.6%
Other values (138) 1690
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2229
63.8%
Decimal Number 642
 
18.4%
Space Separator 540
 
15.4%
Dash Punctuation 75
 
2.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 166
 
7.4%
천 166
 
7.4%
시 164
 
7.4%
광 162
 
7.3%
역 162
 
7.3%
번 112
 
5.0%
화 96
 
4.3%
로 90
 
4.0%
구 86
 
3.9%
강 85
 
3.8%
Other values (124) 940
42.2%
Decimal Number
ValueCountFrequency (%)
1 148
23.1%
2 83
12.9%
4 68
10.6%
3 61
9.5%
6 59
 
9.2%
7 57
 
8.9%
0 56
 
8.7%
8 41
 
6.4%
5 40
 
6.2%
9 29
 
4.5%
Space Separator
ValueCountFrequency (%)
540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2229
63.8%
Common 1267
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 166
 
7.4%
천 166
 
7.4%
시 164
 
7.4%
광 162
 
7.3%
역 162
 
7.3%
번 112
 
5.0%
화 96
 
4.3%
로 90
 
4.0%
구 86
 
3.9%
강 85
 
3.8%
Other values (124) 940
42.2%
Common
ValueCountFrequency (%)
540
42.6%
1 148
 
11.7%
2 83
 
6.6%
- 75
 
5.9%
4 68
 
5.4%
3 61
 
4.8%
6 59
 
4.7%
7 57
 
4.5%
0 56
 
4.4%
8 41
 
3.2%
Other values (4) 79
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2229
63.8%
ASCII 1267
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
540
42.6%
1 148
 
11.7%
2 83
 
6.6%
- 75
 
5.9%
4 68
 
5.4%
3 61
 
4.8%
6 59
 
4.7%
7 57
 
4.5%
0 56
 
4.4%
8 41
 
3.2%
Other values (4) 79
 
6.2%
Hangul
ValueCountFrequency (%)
인 166
 
7.4%
천 166
 
7.4%
시 164
 
7.4%
광 162
 
7.3%
역 162
 
7.3%
번 112
 
5.0%
화 96
 
4.3%
로 90
 
4.0%
구 86
 
3.9%
강 85
 
3.8%
Other values (124) 940
42.2%

소유자(관리주체)
Text

Distinct72
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T01:46:56.485087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.5246914
Min length2

Characters and Unicode

Total characters1057
Distinct characters143
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

Unique48 ?
Unique (%)29.6%

Sample

1st row인천광역시교육청
2nd row인천광역시교육청
3rd row인천시(시립박물관)
4th row인천시(시립박물관)
5th row인천시(시립박물관)
ValueCountFrequency (%)
강화군청 22
 
10.9%
전등사 13
 
6.4%
흥륜사 9
 
4.5%
종중 9
 
4.5%
인천시(시립박물관 8
 
4.0%
기획재정부 8
 
4.0%
산림청 7
 
3.5%
인천광역시교육청 6
 
3.0%
국토교통부 5
 
2.5%
개인소유 5
 
2.5%
Other values (81) 110
54.5%
2024-01-29T01:46:56.906684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
4.6%
청 49
 
4.6%
사 43
 
4.1%
인 40
 
3.8%
시 38
 
3.6%
천 35
 
3.3%
재 30
 
2.8%
화 28
 
2.6%
교 26
 
2.5%
군 25
 
2.4%
Other values (133) 694
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
90.8%
Space Separator 49
 
4.6%
Open Punctuation 24
 
2.3%
Close Punctuation 24
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 49
 
5.1%
사 43
 
4.5%
인 40
 
4.2%
시 38
 
4.0%
천 35
 
3.6%
재 30
 
3.1%
화 28
 
2.9%
교 26
 
2.7%
군 25
 
2.6%
종 23
 
2.4%
Other values (130) 623
64.9%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
90.8%
Common 97
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 49
 
5.1%
사 43
 
4.5%
인 40
 
4.2%
시 38
 
4.0%
천 35
 
3.6%
재 30
 
3.1%
화 28
 
2.9%
교 26
 
2.7%
군 25
 
2.6%
종 23
 
2.4%
Other values (130) 623
64.9%
Common
ValueCountFrequency (%)
49
50.5%
( 24
24.7%
) 24
24.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
90.8%
ASCII 97
 
9.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
50.5%
( 24
24.7%
) 24
24.7%
Hangul
ValueCountFrequency (%)
청 49
 
5.1%
사 43
 
4.5%
인 40
 
4.2%
시 38
 
4.0%
천 35
 
3.6%
재 30
 
3.1%
화 28
 
2.9%
교 26
 
2.7%
군 25
 
2.6%
종 23
 
2.4%
Other values (130) 623
64.9%

지정일자
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1995-03-02
35 
1990-11-09
16 
1999-03-29
11 
2002-12-23
11 
1982-03-02
9 
Other values (33)
80 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique16 ?
Unique (%)9.9%

Sample

1st row1982-03-02
2nd row1982-03-02
3rd row1982-03-02
4th row1982-03-02
5th row1982-03-02

Common Values

ValueCountFrequency (%)
1995-03-02 35
21.6%
1990-11-09 16
 
9.9%
1999-03-29 11
 
6.8%
2002-12-23 11
 
6.8%
1982-03-02 9
 
5.6%
2004-04-06 9
 
5.6%
2015-12-02 6
 
3.7%
1995-11-15 6
 
3.7%
1999-04-26 5
 
3.1%
2014-04-16 5
 
3.1%
Other values (28) 49
30.2%

Length

2024-01-29T01:46:57.053918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1995-03-02 35
21.6%
1990-11-09 16
 
9.9%
1999-03-29 11
 
6.8%
2002-12-23 11
 
6.8%
1982-03-02 9
 
5.6%
2004-04-06 9
 
5.6%
2015-12-02 6
 
3.7%
1995-11-15 6
 
3.7%
2014-04-16 5
 
3.1%
1999-04-26 5
 
3.1%
Other values (28) 49
30.2%

Interactions

2024-01-29T01:46:52.372028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:46:57.150008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정번호소유자(관리주체)지정일자
구분1.0000.4060.0000.318
지정번호0.4061.0000.8790.935
소유자(관리주체)0.0000.8791.0000.980
지정일자0.3180.9350.9801.000
2024-01-29T01:46:57.267064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일자구분
지정일자1.0000.143
구분0.1431.000
2024-01-29T01:46:57.366421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호구분지정일자
지정번호1.0000.2430.603
구분0.2431.0000.143
지정일자0.6030.1431.000

Missing values

2024-01-29T01:46:52.527198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:46:52.650644image/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

구분지정번호명칭수량소재지소유자(관리주체)지정일자
0유형문화재1인천도호부관아2동(17589.9㎡)인천광역시 미추홀구 매소홀로 553인천광역시교육청1982-03-02
1유형문화재2부평도호부관아1동(17566㎡)인천광역시 계양구 어사대로 20인천광역시교육청1982-03-02
2유형문화재3원대철제범종1기인천광역시 연수구 청량로160번길 26인천시(시립박물관)1982-03-02
3유형문화재4송대철제범종1기인천광역시 연수구 청량로160번길 26인천시(시립박물관)1982-03-02
4유형문화재5관음좌상1구인천광역시 연수구 청량로160번길 26인천시(시립박물관)1982-03-02
5유형문화재6논현포대2좌(1826㎡)인천광역시 남동구 호구포로 203-31남동구청1982-03-02
6유형문화재7구)인천일본제일은행지점1동(677.7㎡)인천광역시 중구 신포로23번길 89중구청1982-03-02
7유형문화재8인천우체국1동(4483.6㎡)인천광역시 중구 제물량로 183과학기술정보통신부1982-03-02
8유형문화재9정우량 영정1폭인천광역시 미추홀구 수봉로33번길 37-27개인소유1986-12-18
9유형문화재11인천향교6동(21333.1㎡)인천광역시 미추홀구 매소홀로 589(재)인천광역시향교재단1990-11-09
구분지정번호명칭수량소재지소유자(관리주체)지정일자
152문화재자료20인천 해관문서8면1책인천광역시 동구 화도진로 122인천광역시(화도진도서관)2002-02-04
153문화재자료21전등사 대웅보전 후불탱1폭인천광역시 강화군 전등사로 37-41전등사2002-12-23
154문화재자료22전등사 강설당 아미타불탱1폭인천광역시 강화군 전등사로 37-41전등사2002-12-23
155문화재자료23송현배수지 제수변실1동(19.1㎡)인천광역시 동구 송현공원로 75-21인천광역시(상수도사업본부)2003-11-10
156문화재자료24능인교당 현왕탱화1폭인천광역시 중구 우현로62번길 19능인사2009-03-02
157문화재자료25김취려 묘1기(11107㎡)인천광역시 강화군 양도면 하일리 산71언양김씨대종회2010-12-06
158문화재자료26용수사 철조여래좌상1구인천광역시 서구 신석로51번안길 14-2용수사2014-04-16
159문화재자료27흥륜사 아미타불도1폭인천광역시 연수구 청량로70번길 40-17흥륜사2014-04-16
160문화재자료28흥륜사 신중도1폭인천광역시 연수구 청량로70번길 40-17흥륜사2014-04-16
161문화재자료29양주성 금속비1기인천광역시 중구 운중로13-35중구청2019-07-29