Overview

Dataset statistics

Number of variables10
Number of observations7184
Missing cells334
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory575.4 KiB
Average record size in memory82.0 B

Variable types

Categorical5
Text2
Numeric2
DateTime1

Dataset

Description인천광역시 미추홀구 집합건축물 현황에 관한 공공데이터로 대지위치주소, 대장구분, 대장종류, 연면적, 주용도, 세대수 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15100183/fileData.do

Alerts

시군구명 has constant value ""Constant
대장구분 has constant value ""Constant
대장종류 has constant value ""Constant
연면적 is highly overall correlated with 세대수High correlation
세대수 is highly overall correlated with 연면적High correlation
주용도 is highly imbalanced (80.9%)Imbalance
세대수 has 279 (3.9%) missing valuesMissing
연면적 is highly skewed (γ1 = 25.59589644)Skewed
세대수 is highly skewed (γ1 = 21.87579084)Skewed
세대수 has 311 (4.3%) zerosZeros

Reproduction

Analysis started2023-12-12 14:01:46.167093
Analysis finished2023-12-12 14:01:47.949053
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
인천광역시 미추홀구
7184 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 미추홀구 7184
100.0%

Length

2023-12-12T23:01:48.017856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:48.115625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 7184
50.0%
미추홀구 7184
50.0%

법정동
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
주안동
2960 
용현동
1205 
도화동
1100 
숭의동
975 
학익동
459 
Other values (2)
485 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주안동 2960
41.2%
용현동 1205
16.8%
도화동 1100
 
15.3%
숭의동 975
 
13.6%
학익동 459
 
6.4%
문학동 438
 
6.1%
관교동 47
 
0.7%

Length

2023-12-12T23:01:48.217990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:48.333404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안동 2960
41.2%
용현동 1205
16.8%
도화동 1100
 
15.3%
숭의동 975
 
13.6%
학익동 459
 
6.4%
문학동 438
 
6.1%
관교동 47
 
0.7%
Distinct6710
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
2023-12-12T23:01:48.591775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length23.940284
Min length19

Characters and Unicode

Total characters171987
Distinct characters59
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

Unique6299 ?
Unique (%)87.7%

Sample

1st row인천광역시 미추홀구 숭의동 0002-0096
2nd row인천광역시 미추홀구 숭의동 0003-0019
3rd row인천광역시 미추홀구 숭의동 0004-0031
4th row인천광역시 미추홀구 숭의동 0026-0002
5th row인천광역시 미추홀구 숭의동 0031-0052
ValueCountFrequency (%)
인천광역시 7184
24.9%
미추홀구 7184
24.9%
주안동 2960
10.3%
용현동 1205
 
4.2%
도화동 1100
 
3.8%
숭의동 975
 
3.4%
학익동 459
 
1.6%
문학동 438
 
1.5%
문학도시개발구역 59
 
0.2%
관교동 47
 
0.2%
Other values (6433) 7264
25.2%
2023-12-12T23:01:49.020605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25685
 
14.9%
21691
 
12.6%
7257
 
4.2%
7248
 
4.2%
7248
 
4.2%
7184
 
4.2%
7184
 
4.2%
7184
 
4.2%
7184
 
4.2%
7184
 
4.2%
Other values (49) 66938
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87072
50.6%
Decimal Number 56302
32.7%
Space Separator 21691
 
12.6%
Dash Punctuation 6922
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7257
8.3%
7248
8.3%
7248
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
Other values (37) 15031
17.3%
Decimal Number
ValueCountFrequency (%)
0 25685
45.6%
1 6246
 
11.1%
2 4220
 
7.5%
3 3510
 
6.2%
4 3405
 
6.0%
5 3327
 
5.9%
6 3146
 
5.6%
8 2355
 
4.2%
7 2320
 
4.1%
9 2088
 
3.7%
Space Separator
ValueCountFrequency (%)
21691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87072
50.6%
Common 84915
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7257
8.3%
7248
8.3%
7248
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
Other values (37) 15031
17.3%
Common
ValueCountFrequency (%)
0 25685
30.2%
21691
25.5%
- 6922
 
8.2%
1 6246
 
7.4%
2 4220
 
5.0%
3 3510
 
4.1%
4 3405
 
4.0%
5 3327
 
3.9%
6 3146
 
3.7%
8 2355
 
2.8%
Other values (2) 4408
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87072
50.6%
ASCII 84915
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25685
30.2%
21691
25.5%
- 6922
 
8.2%
1 6246
 
7.4%
2 4220
 
5.0%
3 3510
 
4.1%
4 3405
 
4.0%
5 3327
 
3.9%
6 3146
 
3.7%
8 2355
 
2.8%
Other values (2) 4408
 
5.2%
Hangul
ValueCountFrequency (%)
7257
8.3%
7248
8.3%
7248
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
7184
8.3%
Other values (37) 15031
17.3%
Distinct7061
Distinct (%)98.7%
Missing33
Missing (%)0.5%
Memory size56.3 KiB
2023-12-12T23:01:49.252464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.022794
Min length16

Characters and Unicode

Total characters157485
Distinct characters100
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

Unique6981 ?
Unique (%)97.6%

Sample

1st row인천광역시 미추홀구 수봉로45번길 70
2nd row인천광역시 미추홀구 수봉북로12번길 81
3rd row인천광역시 미추홀구 수봉안길21번길 23
4th row인천광역시 미추홀구 수봉로 43
5th row인천광역시 미추홀구 수봉로68번길 42
ValueCountFrequency (%)
인천광역시 7151
25.0%
미추홀구 7150
25.0%
경인로 117
 
0.4%
염창로 100
 
0.3%
12 96
 
0.3%
경인북길 94
 
0.3%
15 93
 
0.3%
14 93
 
0.3%
16 90
 
0.3%
8 90
 
0.3%
Other values (2895) 13530
47.3%
2023-12-12T23:01:49.587897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21453
 
13.6%
8608
 
5.5%
7745
 
4.9%
7567
 
4.8%
7567
 
4.8%
7258
 
4.6%
7223
 
4.6%
7151
 
4.5%
7151
 
4.5%
7151
 
4.5%
Other values (90) 68611
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100411
63.8%
Decimal Number 32793
 
20.8%
Space Separator 21453
 
13.6%
Dash Punctuation 2828
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8608
 
8.6%
7745
 
7.7%
7567
 
7.5%
7567
 
7.5%
7258
 
7.2%
7223
 
7.2%
7151
 
7.1%
7151
 
7.1%
7151
 
7.1%
6746
 
6.7%
Other values (78) 26244
26.1%
Decimal Number
ValueCountFrequency (%)
1 6448
19.7%
2 4498
13.7%
3 4199
12.8%
4 3411
10.4%
5 3176
9.7%
6 2567
 
7.8%
7 2510
 
7.7%
8 2138
 
6.5%
9 1946
 
5.9%
0 1900
 
5.8%
Space Separator
ValueCountFrequency (%)
21453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2828
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100411
63.8%
Common 57074
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8608
 
8.6%
7745
 
7.7%
7567
 
7.5%
7567
 
7.5%
7258
 
7.2%
7223
 
7.2%
7151
 
7.1%
7151
 
7.1%
7151
 
7.1%
6746
 
6.7%
Other values (78) 26244
26.1%
Common
ValueCountFrequency (%)
21453
37.6%
1 6448
 
11.3%
2 4498
 
7.9%
3 4199
 
7.4%
4 3411
 
6.0%
5 3176
 
5.6%
- 2828
 
5.0%
6 2567
 
4.5%
7 2510
 
4.4%
8 2138
 
3.7%
Other values (2) 3846
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100411
63.8%
ASCII 57074
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21453
37.6%
1 6448
 
11.3%
2 4498
 
7.9%
3 4199
 
7.4%
4 3411
 
6.0%
5 3176
 
5.6%
- 2828
 
5.0%
6 2567
 
4.5%
7 2510
 
4.4%
8 2138
 
3.7%
Other values (2) 3846
 
6.7%
Hangul
ValueCountFrequency (%)
8608
 
8.6%
7745
 
7.7%
7567
 
7.5%
7567
 
7.5%
7258
 
7.2%
7223
 
7.2%
7151
 
7.1%
7151
 
7.1%
7151
 
7.1%
6746
 
6.7%
Other values (78) 26244
26.1%

대장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
집합
7184 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집합 7184
100.0%

Length

2023-12-12T23:01:49.707838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:49.796870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집합 7184
100.0%

대장종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
표제부
7184 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
표제부 7184
100.0%

Length

2023-12-12T23:01:49.893608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:49.972515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표제부 7184
100.0%

연면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct5968
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2156.4509
Minimum0
Maximum647608.56
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size63.3 KiB
2023-12-12T23:01:50.066609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile264.609
Q1395.3425
median565.41
Q3700.9025
95-th percentile5323.4
Maximum647608.56
Range647608.56
Interquartile range (IQR)305.56

Descriptive statistics

Standard deviation13194.904
Coefficient of variation (CV)6.1188057
Kurtosis982.83719
Mean2156.4509
Median Absolute Deviation (MAD)160.565
Skewness25.595896
Sum15491943
Variance1.7410549 × 108
MonotonicityNot monotonic
2023-12-12T23:01:50.176848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
329.76 18
 
0.3%
329.04 15
 
0.2%
328.16 13
 
0.2%
328.32 13
 
0.2%
329.4 12
 
0.2%
659.88 11
 
0.2%
327.84 10
 
0.1%
329.52 10
 
0.1%
659.36 9
 
0.1%
328.8 9
 
0.1%
Other values (5958) 7064
98.3%
ValueCountFrequency (%)
0.0 1
< 0.1%
8.16 1
< 0.1%
8.64 1
< 0.1%
10.75 1
< 0.1%
18.0 1
< 0.1%
23.73 1
< 0.1%
23.75 1
< 0.1%
28.95 1
< 0.1%
30.64 1
< 0.1%
45.2 1
< 0.1%
ValueCountFrequency (%)
647608.56 1
< 0.1%
390028.39 1
< 0.1%
302438.04 1
< 0.1%
210667.26 1
< 0.1%
202466.17 1
< 0.1%
194354.4 1
< 0.1%
184751.12 1
< 0.1%
160002.51 1
< 0.1%
156275.96 1
< 0.1%
145486.81 1
< 0.1%

주용도
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.3 KiB
공동주택
6329 
업무시설
 
362
제1종근린생활시설
 
222
제2종근린생활시설
 
161
판매시설
 
24
Other values (13)
 
86

Length

Max length9
Median length4
Mean length4.2683742
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 6329
88.1%
업무시설 362
 
5.0%
제1종근린생활시설 222
 
3.1%
제2종근린생활시설 161
 
2.2%
판매시설 24
 
0.3%
공장 22
 
0.3%
숙박시설 13
 
0.2%
교육연구시설 10
 
0.1%
노유자시설 8
 
0.1%
단독주택 8
 
0.1%
Other values (8) 25
 
0.3%

Length

2023-12-12T23:01:50.311883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 6329
88.1%
업무시설 362
 
5.0%
제1종근린생활시설 222
 
3.1%
제2종근린생활시설 161
 
2.2%
판매시설 24
 
0.3%
공장 22
 
0.3%
숙박시설 13
 
0.2%
교육연구시설 10
 
0.1%
단독주택 8
 
0.1%
노유자시설 8
 
0.1%
Other values (8) 25
 
0.3%

세대수
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct197
Distinct (%)2.9%
Missing279
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean19
Minimum0
Maximum3971
Zeros311
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size63.3 KiB
2023-12-12T23:01:50.679110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median8
Q311
95-th percentile32
Maximum3971
Range3971
Interquartile range (IQR)3

Descriptive statistics

Standard deviation91.435
Coefficient of variation (CV)4.8123684
Kurtosis703.07584
Mean19
Median Absolute Deviation (MAD)2
Skewness21.875791
Sum131195
Variance8360.3592
MonotonicityNot monotonic
2023-12-12T23:01:50.852387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2326
32.4%
10 797
 
11.1%
6 514
 
7.2%
12 435
 
6.1%
9 360
 
5.0%
0 311
 
4.3%
7 269
 
3.7%
15 209
 
2.9%
4 191
 
2.7%
16 168
 
2.3%
Other values (187) 1325
18.4%
(Missing) 279
 
3.9%
ValueCountFrequency (%)
0 311
 
4.3%
1 59
 
0.8%
2 61
 
0.8%
3 69
 
1.0%
4 191
 
2.7%
5 90
 
1.3%
6 514
 
7.2%
7 269
 
3.7%
8 2326
32.4%
9 360
 
5.0%
ValueCountFrequency (%)
3971 1
< 0.1%
2657 1
< 0.1%
2090 1
< 0.1%
1509 1
< 0.1%
1500 1
< 0.1%
1480 1
< 0.1%
1458 1
< 0.1%
1309 1
< 0.1%
1173 1
< 0.1%
992 1
< 0.1%
Distinct3862
Distinct (%)53.9%
Missing22
Missing (%)0.3%
Memory size56.3 KiB
Minimum1964-11-14 00:00:00
Maximum2023-04-05 00:00:00
2023-12-12T23:01:50.986373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:51.185174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T23:01:47.297441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:47.027482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:47.418641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:47.165009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:01:51.304389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동연면적주용도세대수
법정동1.0000.0700.1770.136
연면적0.0701.0000.0820.991
주용도0.1770.0821.0000.000
세대수0.1360.9910.0001.000
2023-12-12T23:01:51.411537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동주용도
법정동1.0000.080
주용도0.0801.000
2023-12-12T23:01:51.514055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적세대수법정동주용도
연면적1.0000.5040.0240.037
세대수0.5041.0000.0480.000
법정동0.0240.0481.0000.080
주용도0.0370.0000.0801.000

Missing values

2023-12-12T23:01:47.556763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:01:47.730092image/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.
2023-12-12T23:01:47.876289image/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

시군구명법정동대지위치주소도로명주소대장구분대장종류연면적주용도세대수사용승인일자
0인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0002-0096인천광역시 미추홀구 수봉로45번길 70집합표제부227.16공동주택61991-05-11
1인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0003-0019인천광역시 미추홀구 수봉북로12번길 81집합표제부405.3공동주택101992-07-22
2인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0004-0031인천광역시 미추홀구 수봉안길21번길 23집합표제부358.05공동주택72000-07-13
3인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0026-0002인천광역시 미추홀구 수봉로 43집합표제부458.68공동주택52001-09-19
4인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0031-0052인천광역시 미추홀구 수봉로68번길 42집합표제부548.31공동주택102002-02-21
5인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0033-0087인천광역시 미추홀구 독정이로54번길 76-9집합표제부458.22공동주택102002-10-23
6인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0046-0029인천광역시 미추홀구 수봉로27번길 5집합표제부467.58공동주택82002-03-29
7인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0072-0019인천광역시 미추홀구 독정이로92번길 39집합표제부674.78공동주택82004-09-23
8인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0160-0021인천광역시 미추홀구 경인로 25집합표제부2320.64제2종근린생활시설01995-02-21
9인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0161-0024인천광역시 미추홀구 석정로 56집합표제부766.25제1종근린생활시설01978-12-21
시군구명법정동대지위치주소도로명주소대장구분대장종류연면적주용도세대수사용승인일자
7174인천광역시 미추홀구용현동인천광역시 미추홀구 용현동 0127-0007인천광역시 미추홀구 인주대로185번길 14-2집합표제부852.01업무시설<NA>2017-12-07
7175인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 0653-0015인천광역시 미추홀구 수봉로163번길 8집합표제부498.02공동주택82018-01-30
7176인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0346-0005인천광역시 미추홀구 인주대로11번길 42집합표제부13744.47공동주택422018-08-06
7177인천광역시 미추홀구도화동인천광역시 미추홀구 도화동 0507-0126인천광역시 미추홀구 수봉로 169-19집합표제부543.92공동주택82019-08-26
7178인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 1474-0008인천광역시 미추홀구 미추홀대로632번길 14집합표제부659.09공동주택122019-10-31
7179인천광역시 미추홀구용현동인천광역시 미추홀구 용현동 0001-0088인천광역시 미추홀구 수봉로128번길 26집합표제부659.17공동주택82020-05-08
7180인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0218-0011인천광역시 미추홀구 경인로116번길 80집합표제부1340.27공동주택232020-07-21
7181인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0182-0010인천광역시 미추홀구 미추로36번길 17집합표제부2959.61업무시설92020-10-27
7182인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 0025-0026인천광역시 미추홀구 석정로 384집합표제부9695.73업무시설<NA>2021-05-20
7183인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0033-0227인천광역시 미추홀구 장천로112번길 58집합표제부3829.3공동주택482022-02-23