Overview

Dataset statistics

Number of variables9
Number of observations32
Missing cells12
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory77.1 B

Variable types

Numeric1
Text4
Categorical3
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 기념물 (유형 및 무형 기념물 포함)파일명 인천광역시 중구_기념물_20230817내용 지정번호, 명칭, 수량, 면적, 소재지 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086253&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
면적(미터제곱) has 9 (28.1%) missing valuesMissing
소재지 has 3 (9.4%) missing valuesMissing
명칭 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:14:00.512416
Analysis finished2024-01-28 05:14:01.221685
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.71875
Minimum1
Maximum569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-01-28T14:14:01.266068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q114.75
median30.5
Q3118.5
95-th percentile561.5
Maximum569
Range568
Interquartile range (IQR)103.75

Descriptive statistics

Standard deviation177.91811
Coefficient of variation (CV)1.4986521
Kurtosis1.8144353
Mean118.71875
Median Absolute Deviation (MAD)23
Skewness1.740113
Sum3799
Variance31654.854
MonotonicityNot monotonic
2024-01-28T14:14:01.367683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
51 2
 
6.2%
287 1
 
3.1%
76 1
 
3.1%
5 1
 
3.1%
1 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
24 1
 
3.1%
16 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
4 1
3.1%
5 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
14 1
3.1%
15 1
3.1%
16 1
3.1%
ValueCountFrequency (%)
569 1
3.1%
567 1
3.1%
557 1
3.1%
427 1
3.1%
287 1
3.1%
249 1
3.1%
248 1
3.1%
246 1
3.1%
76 1
3.1%
61 1
3.1%

명칭
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T14:14:01.560373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.875
Min length3

Characters and Unicode

Total characters284
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row인천 답동성당
2nd row인천 팔미도 등대
3rd row인천 선린동 공화춘
4th row구 일본우선주식회사 인천지점
5th row구 인천부 청사
ValueCountFrequency (%)
인천 6
 
9.2%
구 5
 
7.7%
용궁사 5
 
7.7%
인천지점 2
 
3.1%
능인교당 2
 
3.1%
용동 1
 
1.5%
수월관음도 1
 
1.5%
대금정악(대풍류·대금 1
 
1.5%
단청장 1
 
1.5%
지화장 1
 
1.5%
Other values (40) 40
61.5%
2024-01-28T14:14:02.079120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
11.6%
인 14
 
4.9%
천 12
 
4.2%
사 10
 
3.5%
구 10
 
3.5%
지 9
 
3.2%
동 7
 
2.5%
용 6
 
2.1%
점 5
 
1.8%
) 5
 
1.8%
Other values (89) 173
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
83.8%
Space Separator 33
 
11.6%
Close Punctuation 5
 
1.8%
Decimal Number 5
 
1.8%
Other Punctuation 2
 
0.7%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 14
 
5.9%
천 12
 
5.0%
사 10
 
4.2%
구 10
 
4.2%
지 9
 
3.8%
동 7
 
2.9%
용 6
 
2.5%
점 5
 
2.1%
일 5
 
2.1%
화 5
 
2.1%
Other values (82) 155
65.1%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
1 2
40.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
83.8%
Common 46
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 14
 
5.9%
천 12
 
5.0%
사 10
 
4.2%
구 10
 
4.2%
지 9
 
3.8%
동 7
 
2.9%
용 6
 
2.5%
점 5
 
2.1%
일 5
 
2.1%
화 5
 
2.1%
Other values (82) 155
65.1%
Common
ValueCountFrequency (%)
33
71.7%
) 5
 
10.9%
8 2
 
4.3%
1 2
 
4.3%
· 2
 
4.3%
5 1
 
2.2%
( 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
83.8%
ASCII 44
 
15.5%
None 2
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
75.0%
) 5
 
11.4%
8 2
 
4.5%
1 2
 
4.5%
5 1
 
2.3%
( 1
 
2.3%
Hangul
ValueCountFrequency (%)
인 14
 
5.9%
천 12
 
5.0%
사 10
 
4.2%
구 10
 
4.2%
지 9
 
3.8%
동 7
 
2.9%
용 6
 
2.5%
점 5
 
2.1%
일 5
 
2.1%
화 5
 
2.1%
Other values (82) 155
65.1%
None
ValueCountFrequency (%)
· 2
100.0%

수량(기)
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
1동
14 
1폭
5 
<NA>
5 
1기
3 
3동
2 
Other values (2)
3 

Length

Max length4
Median length2
Mean length2.3125
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row1동
2nd row1동
3rd row1동
4th row1동
5th row1동

Common Values

ValueCountFrequency (%)
1동 14
43.8%
1폭 5
 
15.6%
<NA> 5
 
15.6%
1기 3
 
9.4%
3동 2
 
6.2%
2동 2
 
6.2%
2주 1
 
3.1%

Length

2024-01-28T14:14:02.198668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:14:02.296783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1동 14
43.8%
1폭 5
 
15.6%
na 5
 
15.6%
1기 3
 
9.4%
3동 2
 
6.2%
2동 2
 
6.2%
2주 1
 
3.1%

면적(미터제곱)
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing9
Missing (%)28.1%
Memory size388.0 B
2024-01-28T14:14:02.454285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.173913
Min length4

Characters and Unicode

Total characters119
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row6164
2nd row25.8
3rd row436.35
4th row244.63
5th row694.2
ValueCountFrequency (%)
6164 1
 
4.3%
1952.6 1
 
4.3%
25.8 1
 
4.3%
273.2 1
 
4.3%
1603 1
 
4.3%
24.7 1
 
4.3%
10,548 1
 
4.3%
965.6 1
 
4.3%
277.1 1
 
4.3%
2056.7 1
 
4.3%
Other values (13) 13
56.5%
2024-01-28T14:14:02.751588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 19
16.0%
6 15
12.6%
7 13
10.9%
4 12
10.1%
1 11
9.2%
5 11
9.2%
3 9
7.6%
2 9
7.6%
9 7
 
5.9%
8 6
 
5.0%
Other values (2) 7
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
83.2%
Other Punctuation 20
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 15
15.2%
7 13
13.1%
4 12
12.1%
1 11
11.1%
5 11
11.1%
3 9
9.1%
2 9
9.1%
9 7
7.1%
8 6
 
6.1%
0 6
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 19
95.0%
, 1
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 19
16.0%
6 15
12.6%
7 13
10.9%
4 12
10.1%
1 11
9.2%
5 11
9.2%
3 9
7.6%
2 9
7.6%
9 7
 
5.9%
8 6
 
5.0%
Other values (2) 7
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 19
16.0%
6 15
12.6%
7 13
10.9%
4 12
10.1%
1 11
9.2%
5 11
9.2%
3 9
7.6%
2 9
7.6%
9 7
 
5.9%
8 6
 
5.0%
Other values (2) 7
 
5.9%

소재지
Text

MISSING 

Distinct25
Distinct (%)86.2%
Missing3
Missing (%)9.4%
Memory size388.0 B
2024-01-28T14:14:02.943767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.137931
Min length15

Characters and Unicode

Total characters555
Distinct characters59
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

Unique24 ?
Unique (%)82.8%

Sample

1st row인천광역시 중구 우현로50번길 2
2nd row인천광역시 중구 팔미로 28
3rd row인천광역시 중구 차이나타운로 56-14
4th row인천광역시 중구 제물량로218번길 3
5th row인천광역시 중구 신포로27번길 80
ValueCountFrequency (%)
인천광역시 29
24.6%
중구 29
24.6%
운남로 5
 
4.2%
199-1 5
 
4.2%
신포로23번길 3
 
2.5%
우현로62번길 2
 
1.7%
19 2
 
1.7%
신포로27번길 2
 
1.7%
관동1가 1
 
0.8%
24번지 1
 
0.8%
Other values (39) 39
33.1%
2024-01-28T14:14:03.239202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
16.0%
인 31
 
5.6%
역 30
 
5.4%
구 30
 
5.4%
광 29
 
5.2%
시 29
 
5.2%
중 29
 
5.2%
천 29
 
5.2%
로 24
 
4.3%
1 24
 
4.3%
Other values (49) 211
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
61.1%
Decimal Number 111
 
20.0%
Space Separator 89
 
16.0%
Dash Punctuation 13
 
2.3%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 31
 
9.1%
역 30
 
8.8%
구 30
 
8.8%
광 29
 
8.6%
시 29
 
8.6%
중 29
 
8.6%
천 29
 
8.6%
로 24
 
7.1%
번 15
 
4.4%
길 13
 
3.8%
Other values (34) 80
23.6%
Decimal Number
ValueCountFrequency (%)
1 24
21.6%
2 18
16.2%
9 18
16.2%
3 11
9.9%
8 8
 
7.2%
7 7
 
6.3%
6 7
 
6.3%
4 6
 
5.4%
5 6
 
5.4%
0 6
 
5.4%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
61.1%
Common 216
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 31
 
9.1%
역 30
 
8.8%
구 30
 
8.8%
광 29
 
8.6%
시 29
 
8.6%
중 29
 
8.6%
천 29
 
8.6%
로 24
 
7.1%
번 15
 
4.4%
길 13
 
3.8%
Other values (34) 80
23.6%
Common
ValueCountFrequency (%)
89
41.2%
1 24
 
11.1%
2 18
 
8.3%
9 18
 
8.3%
- 13
 
6.0%
3 11
 
5.1%
8 8
 
3.7%
7 7
 
3.2%
6 7
 
3.2%
4 6
 
2.8%
Other values (5) 15
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
61.1%
ASCII 216
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
41.2%
1 24
 
11.1%
2 18
 
8.3%
9 18
 
8.3%
- 13
 
6.0%
3 11
 
5.1%
8 8
 
3.7%
7 7
 
3.2%
6 7
 
3.2%
4 6
 
2.8%
Other values (5) 15
 
6.9%
Hangul
ValueCountFrequency (%)
인 31
 
9.1%
역 30
 
8.8%
구 30
 
8.8%
광 29
 
8.6%
시 29
 
8.6%
중 29
 
8.6%
천 29
 
8.6%
로 24
 
7.1%
번 15
 
4.4%
길 13
 
3.8%
Other values (34) 80
23.6%

필지
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
19 
1필지
5 
2필지
4 
3필지
 
1
4필지
 
1
Other values (2)
2 

Length

Max length4
Median length4
Mean length3.59375
Min length3

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row3필지
2nd row2필지
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
59.4%
1필지 5
 
15.6%
2필지 4
 
12.5%
3필지 1
 
3.1%
4필지 1
 
3.1%
9필지 1
 
3.1%
5필지 1
 
3.1%

Length

2024-01-28T14:14:03.353579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:14:03.455151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
59.4%
1필지 5
 
15.6%
2필지 4
 
12.5%
3필지 1
 
3.1%
4필지 1
 
3.1%
9필지 1
 
3.1%
5필지 1
 
3.1%

지정일자
Date

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1981-09-25 00:00:00
Maximum2022-12-19 00:00:00
2024-01-28T14:14:03.563899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:14:03.671479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

소유자(관리자)
Text

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T14:14:03.834931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length10.3125
Min length2

Characters and Unicode

Total characters330
Distinct characters78
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

Unique14 ?
Unique (%)43.8%

Sample

1st row(재)인천교구천주교회유지재단
2nd row해양수산부(인천지방해양수산청)
3rd row인천광역시 중구청(인천중구문화재단)
4th row인천광역시(인천문화재단)
5th row인천광역시 중구청
ValueCountFrequency (%)
인천광역시 6
13.3%
한국불교태고종 5
 
11.1%
용궁사 5
 
11.1%
중구청(인천중구문화재단 4
 
8.9%
국토교통부 3
 
6.7%
남 2
 
4.4%
인천광역시(인천문화재단 2
 
4.4%
개인 2
 
4.4%
능인사 2
 
4.4%
인천국제공항공사 1
 
2.2%
Other values (13) 13
28.9%
2024-01-28T14:14:04.142682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 25
 
7.6%
천 21
 
6.4%
) 15
 
4.5%
( 15
 
4.5%
13
 
3.9%
교 12
 
3.6%
구 11
 
3.3%
중 10
 
3.0%
재 10
 
3.0%
광 10
 
3.0%
Other values (68) 188
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
87.0%
Close Punctuation 15
 
4.5%
Open Punctuation 15
 
4.5%
Space Separator 13
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 25
 
8.7%
천 21
 
7.3%
교 12
 
4.2%
구 11
 
3.8%
중 10
 
3.5%
재 10
 
3.5%
광 10
 
3.5%
역 10
 
3.5%
시 10
 
3.5%
국 9
 
3.1%
Other values (65) 159
55.4%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
87.0%
Common 43
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 25
 
8.7%
천 21
 
7.3%
교 12
 
4.2%
구 11
 
3.8%
중 10
 
3.5%
재 10
 
3.5%
광 10
 
3.5%
역 10
 
3.5%
시 10
 
3.5%
국 9
 
3.1%
Other values (65) 159
55.4%
Common
ValueCountFrequency (%)
) 15
34.9%
( 15
34.9%
13
30.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
87.0%
ASCII 43
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 25
 
8.7%
천 21
 
7.3%
교 12
 
4.2%
구 11
 
3.8%
중 10
 
3.5%
재 10
 
3.5%
광 10
 
3.5%
역 10
 
3.5%
시 10
 
3.5%
국 9
 
3.1%
Other values (65) 159
55.4%
ASCII
ValueCountFrequency (%)
) 15
34.9%
( 15
34.9%
13
30.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-08-17
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-17
2nd row2023-08-17
3rd row2023-08-17
4th row2023-08-17
5th row2023-08-17

Common Values

ValueCountFrequency (%)
2023-08-17 32
100.0%

Length

2024-01-28T14:14:04.257687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:14:04.347058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-17 32
100.0%

Interactions

2024-01-28T14:14:00.877537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:14:04.407226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호명칭수량(기)면적(미터제곱)소재지필지지정일자소유자(관리자)
지정번호1.0001.0000.0001.0000.9090.8740.9810.827
명칭1.0001.0001.0001.0001.0001.0001.0001.000
수량(기)0.0001.0001.0001.0000.0000.6030.9350.000
면적(미터제곱)1.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9091.0000.0001.0001.0001.0000.9351.000
필지0.8741.0000.6031.0001.0001.0000.7860.710
지정일자0.9811.0000.9351.0000.9350.7861.0000.939
소유자(관리자)0.8271.0000.0001.0001.0000.7100.9391.000
2024-01-28T14:14:04.501203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
필지수량(기)
필지1.0000.452
수량(기)0.4521.000
2024-01-28T14:14:04.568966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호수량(기)필지
지정번호1.0000.0000.457
수량(기)0.0001.0000.452
필지0.4570.4521.000

Missing values

2024-01-28T14:14:00.972660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:14:01.083740image/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.
2024-01-28T14:14:01.170727image/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

지정번호명칭수량(기)면적(미터제곱)소재지필지지정일자소유자(관리자)데이터기준일
0287인천 답동성당1동6164인천광역시 중구 우현로50번길 23필지1981-09-25(재)인천교구천주교회유지재단2023-08-17
1557인천 팔미도 등대1동25.8인천광역시 중구 팔미로 282필지2020-09-15해양수산부(인천지방해양수산청)2023-08-17
2246인천 선린동 공화춘1동436.35인천광역시 중구 차이나타운로 56-14<NA>2006-04-14인천광역시 중구청(인천중구문화재단)2023-08-17
3248구 일본우선주식회사 인천지점1동244.63인천광역시 중구 제물량로218번길 3<NA>2006-04-14인천광역시(인천문화재단)2023-08-17
4249구 인천부 청사1동694.2인천광역시 중구 신포로27번길 80<NA>2006-04-14인천광역시 중구청2023-08-17
5427인천 제물포고등학교 강당1동495.87인천광역시 중구 자유공원로 58-9<NA>2008-10-27인천광역시교육감(제물포고등학교)2023-08-17
6567인천 구 대화조 사무소1동109.9인천광역시 중구 신포로27번길 96-2<NA>2013-08-29개인2023-08-17
7569인천 세관 구 창고와 부속동3동354.1인천광역시 중구 항동7가 1-47<NA>2013-10-29관세청장(인천본부세관)2023-08-17
87구)인천일본제1은행지점1동677.7인천광역시 중구 신포로23번길 891필지1982-03-02인천광역시 중구청(인천중구문화재단)2023-08-17
98인천우체국1동4483.6인천광역시 중구 제물량로 183<NA>1982-03-02과학기술정보통신부(경인지방우정청)2023-08-17
지정번호명칭수량(기)면적(미터제곱)소재지필지지정일자소유자(관리자)데이터기준일
2251청·일조계지 경계계단<NA>965.6인천광역시 중구 관동1가 24번지2필지2002-12-23국토교통부2023-08-17
2355삼목도선사주거지<NA>10,548인천광역시 중구 운서동 1830-15필지2006-09-11인천국제공항공사2023-08-17
242용동 큰우물1기24.7인천광역시 중구 인현동 90-13번지1필지1996-06-12국토교통부2023-08-17
2516남북동 조병수가옥2동1603인천광역시 중구 용유로380번길 211필지1997-07-14개인2023-08-17
2624능인교당 현왕탱화1폭<NA>인천광역시 중구 우현로62번길 19, 능인사<NA>2009-03-02능인사2023-08-17
2729양주성 금속비1기<NA>인천광역시 중구 구읍로 63(영종역사관)<NA>2019-07-29인천광역시 중구청(인천중구문화재단)2023-08-17
2830용궁사 신중도1폭<NA>인천광역시 중구 운남로 199-1<NA>2022-12-19한국불교태고종 용궁사2023-08-17
2931용궁사 지장시왕도1폭<NA>인천광역시 중구 운남로 199-1<NA>2022-12-19한국불교태고종 용궁사2023-08-17
301송학동 옛 시장관사1동273.2인천광역시 중구 신포로39번길 74<NA>2021-08-09인천광역시2023-08-17
315구 미쓰이물산 인천지점2동506.7인천광역시 중구 신포로15번길 64<NA>2022-09-05인천광역시(인천문화재단)2023-08-17