Overview

Dataset statistics

Number of variables7
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 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.
URLhttps://www.data.go.kr/data/15055875/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 22:39:51.188733
Analysis finished2023-12-12 22:39:51.956737
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유형문화재
75 
기념물
62 
문화재자료
28 
민속문화재
 
3

Length

Max length5
Median length5
Mean length4.2619048
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 75
44.6%
기념물 62
36.9%
문화재자료 28
 
16.7%
민속문화재 3
 
1.8%

Length

2023-12-13T07:39:52.022400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:39:52.132314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 75
44.6%
기념물 62
36.9%
문화재자료 28
 
16.7%
민속문화재 3
 
1.8%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.785714
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:39:52.260938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q116.75
median32
Q355
95-th percentile75.65
Maximum84
Range83
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation23.232525
Coefficient of variation (CV)0.64921227
Kurtosis-1.0562217
Mean35.785714
Median Absolute Deviation (MAD)19
Skewness0.28391404
Sum6012
Variance539.75021
MonotonicityNot monotonic
2023-12-13T07:39:52.428751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4
 
2.4%
1 3
 
1.8%
16 3
 
1.8%
30 3
 
1.8%
29 3
 
1.8%
28 3
 
1.8%
27 3
 
1.8%
26 3
 
1.8%
25 3
 
1.8%
2 3
 
1.8%
Other values (74) 137
81.5%
ValueCountFrequency (%)
1 3
1.8%
2 3
1.8%
3 4
2.4%
4 3
1.8%
5 3
1.8%
6 3
1.8%
7 3
1.8%
8 3
1.8%
9 3
1.8%
10 1
 
0.6%
ValueCountFrequency (%)
84 1
0.6%
83 1
0.6%
82 1
0.6%
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%

명칭
Text

Distinct166
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:39:52.751297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length7.875
Min length2

Characters and Unicode

Total characters1323
Distinct characters258
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

Unique164 ?
Unique (%)97.6%

Sample

1st row인천도호부관아
2nd row부평도호부관아
3rd row원대철제범종
4th row송대철제범종
5th row관음좌상
ValueCountFrequency (%)
강화 15
 
4.6%
묘 13
 
4.0%
전등사 12
 
3.6%
돈대 7
 
2.1%
묘역 6
 
1.8%
용궁사 5
 
1.5%
흥륜사 4
 
1.2%
보문사 4
 
1.2%
약사전 3
 
0.9%
대웅보전 3
 
0.9%
Other values (233) 257
78.1%
2023-12-13T07:39:53.181701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
12.4%
사 48
 
3.6%
대 36
 
2.7%
화 32
 
2.4%
묘 28
 
2.1%
강 25
 
1.9%
지 23
 
1.7%
전 22
 
1.7%
수 20
 
1.5%
인 20
 
1.5%
Other values (248) 905
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
85.7%
Space Separator 164
 
12.4%
Decimal Number 17
 
1.3%
Close Punctuation 5
 
0.4%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 48
 
4.2%
대 36
 
3.2%
화 32
 
2.8%
묘 28
 
2.5%
강 25
 
2.2%
지 23
 
2.0%
전 22
 
1.9%
수 20
 
1.8%
인 20
 
1.8%
도 18
 
1.6%
Other values (235) 862
76.0%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
3 3
17.6%
8 3
17.6%
2 2
 
11.8%
7 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
0 1
 
5.9%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
85.7%
Common 189
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 48
 
4.2%
대 36
 
3.2%
화 32
 
2.8%
묘 28
 
2.5%
강 25
 
2.2%
지 23
 
2.0%
전 22
 
1.9%
수 20
 
1.8%
인 20
 
1.8%
도 18
 
1.6%
Other values (235) 862
76.0%
Common
ValueCountFrequency (%)
164
86.8%
1 5
 
2.6%
) 5
 
2.6%
3 3
 
1.6%
8 3
 
1.6%
2 2
 
1.1%
, 1
 
0.5%
7 1
 
0.5%
5 1
 
0.5%
( 1
 
0.5%
Other values (3) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
85.7%
ASCII 189
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
86.8%
1 5
 
2.6%
) 5
 
2.6%
3 3
 
1.6%
8 3
 
1.6%
2 2
 
1.1%
, 1
 
0.5%
7 1
 
0.5%
5 1
 
0.5%
( 1
 
0.5%
Other values (3) 3
 
1.6%
Hangul
ValueCountFrequency (%)
사 48
 
4.2%
대 36
 
3.2%
화 32
 
2.8%
묘 28
 
2.5%
강 25
 
2.2%
지 23
 
2.0%
전 22
 
1.9%
수 20
 
1.8%
인 20
 
1.8%
도 18
 
1.6%
Other values (235) 862
76.0%

수량
Text

Distinct129
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:39:53.450502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.7202381
Min length2

Characters and Unicode

Total characters1129
Distinct characters38
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

Unique123 ?
Unique (%)73.2%

Sample

1st row2동(17589.9㎡)
2nd row1동(17566㎡)
3rd row1기
4th row1기
5th row1구
ValueCountFrequency (%)
1폭 17
 
10.1%
1구 7
 
4.2%
1점 7
 
4.2%
1기 6
 
3.6%
1책 5
 
3.0%
1축 3
 
1.8%
3기(896㎡ 1
 
0.6%
18기(414212.1㎡ 1
 
0.6%
1기(30㎡ 1
 
0.6%
694㎡ 1
 
0.6%
Other values (119) 119
70.8%
2023-12-13T07:39:53.871478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 203
18.0%
㎡ 111
 
9.8%
) 90
 
8.0%
( 90
 
8.0%
2 70
 
6.2%
7 55
 
4.9%
. 54
 
4.8%
6 53
 
4.7%
5 47
 
4.2%
3 47
 
4.2%
Other values (28) 309
27.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 624
55.3%
Other Letter 159
 
14.1%
Other Symbol 111
 
9.8%
Close Punctuation 90
 
8.0%
Open Punctuation 90
 
8.0%
Other Punctuation 54
 
4.8%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 47
29.6%
동 31
19.5%
폭 17
 
10.7%
곽 12
 
7.5%
책 10
 
6.3%
점 9
 
5.7%
구 7
 
4.4%
권 4
 
2.5%
축 3
 
1.9%
주 3
 
1.9%
Other values (13) 16
 
10.1%
Decimal Number
ValueCountFrequency (%)
1 203
32.5%
2 70
 
11.2%
7 55
 
8.8%
6 53
 
8.5%
5 47
 
7.5%
3 47
 
7.5%
9 41
 
6.6%
4 40
 
6.4%
8 35
 
5.6%
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 970
85.9%
Hangul 159
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 47
29.6%
동 31
19.5%
폭 17
 
10.7%
곽 12
 
7.5%
책 10
 
6.3%
점 9
 
5.7%
구 7
 
4.4%
권 4
 
2.5%
축 3
 
1.9%
주 3
 
1.9%
Other values (13) 16
 
10.1%
Common
ValueCountFrequency (%)
1 203
20.9%
㎡ 111
11.4%
) 90
9.3%
( 90
9.3%
2 70
 
7.2%
7 55
 
5.7%
. 54
 
5.6%
6 53
 
5.5%
5 47
 
4.8%
3 47
 
4.8%
Other values (5) 150
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
76.1%
Hangul 159
 
14.1%
CJK Compat 111
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 203
23.6%
) 90
10.5%
( 90
10.5%
2 70
 
8.1%
7 55
 
6.4%
. 54
 
6.3%
6 53
 
6.2%
5 47
 
5.5%
3 47
 
5.5%
9 41
 
4.8%
Other values (4) 109
12.7%
CJK Compat
ValueCountFrequency (%)
㎡ 111
100.0%
Hangul
ValueCountFrequency (%)
기 47
29.6%
동 31
19.5%
폭 17
 
10.7%
곽 12
 
7.5%
책 10
 
6.3%
점 9
 
5.7%
구 7
 
4.4%
권 4
 
2.5%
축 3
 
1.9%
주 3
 
1.9%
Other values (13) 16
 
10.1%

소재지
Text

Distinct120
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:39:54.193266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length21.60119
Min length12

Characters and Unicode

Total characters3629
Distinct characters149
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

Unique107 ?
Unique (%)63.7%

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 168
23.1%
강화군 79
 
10.9%
연수구 27
 
3.7%
중구 19
 
2.6%
37-41 15
 
2.1%
전등사로 15
 
2.1%
서구 12
 
1.6%
청량로160번길 11
 
1.5%
26 10
 
1.4%
청량로70번길 9
 
1.2%
Other values (233) 363
49.9%
2023-12-13T07:39:54.660469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
 
15.5%
인 172
 
4.7%
천 172
 
4.7%
시 171
 
4.7%
광 168
 
4.6%
역 168
 
4.6%
1 155
 
4.3%
번 114
 
3.1%
화 100
 
2.8%
로 95
 
2.6%
Other values (139) 1752
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2311
63.7%
Decimal Number 667
 
18.4%
Space Separator 562
 
15.5%
Dash Punctuation 79
 
2.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 172
 
7.4%
천 172
 
7.4%
시 171
 
7.4%
광 168
 
7.3%
역 168
 
7.3%
번 114
 
4.9%
화 100
 
4.3%
로 95
 
4.1%
강 89
 
3.9%
구 89
 
3.9%
Other values (125) 973
42.1%
Decimal Number
ValueCountFrequency (%)
1 155
23.2%
2 85
12.7%
4 70
10.5%
3 64
9.6%
6 63
9.4%
7 59
 
8.8%
0 57
 
8.5%
8 41
 
6.1%
5 40
 
6.0%
9 33
 
4.9%
Space Separator
ValueCountFrequency (%)
562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2311
63.7%
Common 1318
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 172
 
7.4%
천 172
 
7.4%
시 171
 
7.4%
광 168
 
7.3%
역 168
 
7.3%
번 114
 
4.9%
화 100
 
4.3%
로 95
 
4.1%
강 89
 
3.9%
구 89
 
3.9%
Other values (125) 973
42.1%
Common
ValueCountFrequency (%)
562
42.6%
1 155
 
11.8%
2 85
 
6.4%
- 79
 
6.0%
4 70
 
5.3%
3 64
 
4.9%
6 63
 
4.8%
7 59
 
4.5%
0 57
 
4.3%
8 41
 
3.1%
Other values (4) 83
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2311
63.7%
ASCII 1318
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
42.6%
1 155
 
11.8%
2 85
 
6.4%
- 79
 
6.0%
4 70
 
5.3%
3 64
 
4.9%
6 63
 
4.8%
7 59
 
4.5%
0 57
 
4.3%
8 41
 
3.1%
Other values (4) 83
 
6.3%
Hangul
ValueCountFrequency (%)
인 172
 
7.4%
천 172
 
7.4%
시 171
 
7.4%
광 168
 
7.3%
역 168
 
7.3%
번 114
 
4.9%
화 100
 
4.3%
로 95
 
4.1%
강 89
 
3.9%
구 89
 
3.9%
Other values (125) 973
42.1%

소유자(관리주체)
Text

Distinct75
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:39:54.865365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.6488095
Min length2

Characters and Unicode

Total characters1117
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

Unique49 ?
Unique (%)29.2%

Sample

1st row인천광역시교육청
2nd row인천광역시교육청
3rd row인천시(시립박물관)
4th row인천시(시립박물관)
5th row인천시(시립박물관)
ValueCountFrequency (%)
강화군청 23
 
10.8%
전등사 13
 
6.1%
흥륜사 9
 
4.2%
종중 9
 
4.2%
인천시(시립박물관 8
 
3.8%
기획재정부 8
 
3.8%
산림청 7
 
3.3%
인천광역시교육청 6
 
2.8%
개인소유 5
 
2.4%
국토교통부 5
 
2.4%
Other values (85) 119
56.1%
2023-12-13T07:39:55.307147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
4.7%
청 50
 
4.5%
사 47
 
4.2%
인 42
 
3.8%
시 40
 
3.6%
천 37
 
3.3%
화 31
 
2.8%
재 30
 
2.7%
군 28
 
2.5%
교 28
 
2.5%
Other values (133) 731
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
90.4%
Space Separator 53
 
4.7%
Open Punctuation 27
 
2.4%
Close Punctuation 27
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 50
 
5.0%
사 47
 
4.7%
인 42
 
4.2%
시 40
 
4.0%
천 37
 
3.7%
화 31
 
3.1%
재 30
 
3.0%
군 28
 
2.8%
교 28
 
2.8%
강 25
 
2.5%
Other values (130) 652
64.6%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
90.4%
Common 107
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 50
 
5.0%
사 47
 
4.7%
인 42
 
4.2%
시 40
 
4.0%
천 37
 
3.7%
화 31
 
3.1%
재 30
 
3.0%
군 28
 
2.8%
교 28
 
2.8%
강 25
 
2.5%
Other values (130) 652
64.6%
Common
ValueCountFrequency (%)
53
49.5%
( 27
25.2%
) 27
25.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
90.4%
ASCII 107
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
49.5%
( 27
25.2%
) 27
25.2%
Hangul
ValueCountFrequency (%)
청 50
 
5.0%
사 47
 
4.7%
인 42
 
4.2%
시 40
 
4.0%
천 37
 
3.7%
화 31
 
3.1%
재 30
 
3.0%
군 28
 
2.8%
교 28
 
2.8%
강 25
 
2.5%
Other values (130) 652
64.6%

지정일자
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1995-03-02
35 
1990-11-09
16 
2002-12-23
11 
1999-03-29
11 
2004-04-06
9 
Other values (36)
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique17 ?
Unique (%)10.1%

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
20.8%
1990-11-09 16
 
9.5%
2002-12-23 11
 
6.5%
1999-03-29 11
 
6.5%
2004-04-06 9
 
5.4%
1982-03-02 9
 
5.4%
1995-11-15 6
 
3.6%
2015-12-02 6
 
3.6%
2014-04-16 5
 
3.0%
1999-04-26 5
 
3.0%
Other values (31) 55
32.7%

Length

2023-12-13T07:39:55.441105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1995-03-02 35
20.8%
1990-11-09 16
 
9.5%
2002-12-23 11
 
6.5%
1999-03-29 11
 
6.5%
2004-04-06 9
 
5.4%
1982-03-02 9
 
5.4%
1995-11-15 6
 
3.6%
2015-12-02 6
 
3.6%
2014-04-16 5
 
3.0%
1999-04-26 5
 
3.0%
Other values (31) 55
32.7%

Interactions

2023-12-13T07:39:51.677873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:39:55.524095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정번호소유자(관리주체)지정일자
구분1.0000.4500.0000.530
지정번호0.4501.0000.8840.942
소유자(관리주체)0.0000.8841.0000.981
지정일자0.5300.9420.9811.000
2023-12-13T07:39:55.631044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정일자
구분1.0000.258
지정일자0.2581.000
2023-12-13T07:39:55.739170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호구분지정일자
지정번호1.0000.2790.624
구분0.2791.0000.258
지정일자0.6240.2581.000

Missing values

2023-12-13T07:39:51.787719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:39:51.913207image/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
158문화재자료22전등사 강설당 아미타불탱1폭인천광역시 강화군 전등사로 37-41전등사2002-12-23
159문화재자료23송현배수지 제수변실1동(19.1㎡)인천광역시 동구 송현공원로 75-21인천광역시(상수도사업본부)2003-11-10
160문화재자료24능인교당 현왕탱화1폭인천광역시 중구 우현로62번길 19능인사2009-03-02
161문화재자료25김취려 묘1기(11107㎡)인천광역시 강화군 양도면 하일리 산71언양김씨대종회2010-12-06
162문화재자료26용수사 철조여래좌상1구인천광역시 서구 신석로51번안길 14-2용수사2014-04-16
163문화재자료27흥륜사 아미타불도1폭인천광역시 연수구 청량로70번길 40-17흥륜사2014-04-16
164문화재자료28흥륜사 신중도1폭인천광역시 연수구 청량로70번길 40-17흥륜사2014-04-16
165문화재자료29양주성 금속비1기인천광역시 중구 운중로13-35중구청2019-07-29
166문화재자료30용궁사 신중도1폭인천광역시 중구 운남로 199-1한국불교 태고종 용궁사2022-12-19
167문화재자료31용궁사 지장시왕도1폭인천광역시 중구 운남로 199-1한국불교 태고종 용궁사2022-12-19