Overview

Dataset statistics

Number of variables11
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory96.3 B

Variable types

Categorical5
Numeric5
Text1

Dataset

Description경기도 평택시 주택외건물시가표준액(2023년)에 대한 데이터로 건물형태, 물건지지번주소, 연면적, 전용면적, 공부상지목, 시가표준액 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15039736/fileData.do

Alerts

자치단체 has constant value ""Constant
기준년도 has constant value ""Constant
건물형태 has constant value ""Constant
공부상지목 has constant value ""Constant
건물구조 is highly overall correlated with 건물지붕High correlation
연면적 is highly overall correlated with 전용면적 and 1 other fieldsHigh correlation
전용면적 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
시가표준액 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
건물지붕 is highly overall correlated with 건물구조High correlation
건물지붕 is highly imbalanced (61.9%)Imbalance
연면적 has unique valuesUnique
전용면적 has unique valuesUnique
시가표준액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:33:54.035541
Analysis finished2023-12-12 09:33:58.061737
Duration4.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
평택시
99 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택시 99
100.0%

Length

2023-12-12T18:33:58.144274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:33:58.258809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시 99
100.0%

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023
99 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 99
100.0%

Length

2023-12-12T18:33:58.367018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:33:58.463503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 99
100.0%

건물형태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
일반
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 99
100.0%

Length

2023-12-12T18:33:58.551915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:33:58.641668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 99
100.0%

건물구조
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.262626
Minimum21
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T18:33:58.719026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q121
median21
Q324
95-th percentile61.1
Maximum63
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.721175
Coefficient of variation (CV)0.46661589
Kurtosis2.5389013
Mean27.262626
Median Absolute Deviation (MAD)0
Skewness1.9818179
Sum2699
Variance161.82828
MonotonicityNot monotonic
2023-12-12T18:33:58.825704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
21 70
70.7%
31 6
 
6.1%
41 6
 
6.1%
61 4
 
4.0%
22 4
 
4.0%
62 4
 
4.0%
51 2
 
2.0%
26 2
 
2.0%
63 1
 
1.0%
ValueCountFrequency (%)
21 70
70.7%
22 4
 
4.0%
26 2
 
2.0%
31 6
 
6.1%
41 6
 
6.1%
51 2
 
2.0%
61 4
 
4.0%
62 4
 
4.0%
63 1
 
1.0%
ValueCountFrequency (%)
63 1
 
1.0%
62 4
 
4.0%
61 4
 
4.0%
51 2
 
2.0%
41 6
 
6.1%
31 6
 
6.1%
26 2
 
2.0%
22 4
 
4.0%
21 70
70.7%

건물위치
Real number (ℝ)

Distinct8
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.060606
Minimum15
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T18:33:58.929128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile16
Q116
median18
Q320
95-th percentile21
Maximum22
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.850638
Coefficient of variation (CV)0.10246821
Kurtosis-1.0451162
Mean18.060606
Median Absolute Deviation (MAD)2
Skewness0.22503241
Sum1788
Variance3.4248609
MonotonicityNot monotonic
2023-12-12T18:33:59.038322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
16 31
31.3%
19 19
19.2%
20 19
19.2%
18 13
13.1%
17 8
 
8.1%
22 4
 
4.0%
21 3
 
3.0%
15 2
 
2.0%
ValueCountFrequency (%)
15 2
 
2.0%
16 31
31.3%
17 8
 
8.1%
18 13
13.1%
19 19
19.2%
20 19
19.2%
21 3
 
3.0%
22 4
 
4.0%
ValueCountFrequency (%)
22 4
 
4.0%
21 3
 
3.0%
20 19
19.2%
19 19
19.2%
18 13
13.1%
17 8
 
8.1%
16 31
31.3%
15 2
 
2.0%

건물지붕
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
11
84 
99
 
6
31
 
5
21
 
3
41
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row11
2nd row21
3rd row21
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 84
84.8%
99 6
 
6.1%
31 5
 
5.1%
21 3
 
3.0%
41 1
 
1.0%

Length

2023-12-12T18:33:59.212214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:33:59.345950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 84
84.8%
99 6
 
6.1%
31 5
 
5.1%
21 3
 
3.0%
41 1
 
1.0%

물건지지번주소
Text

Distinct93
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T18:33:59.569774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters1287
Distinct characters15
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

Unique87 ?
Unique (%)87.9%

Sample

1st row평택동 0023-0002
2nd row평택동 0023-0003
3rd row평택동 0023-0011
4th row평택동 0023-0012
5th row평택동 0023-0014
ValueCountFrequency (%)
평택동 99
50.0%
0032-0002 2
 
1.0%
0041-0005 2
 
1.0%
0033-0002 2
 
1.0%
0033-0006 2
 
1.0%
0037-0021 2
 
1.0%
0045-0007 2
 
1.0%
0039-0015 1
 
0.5%
0043-0004 1
 
0.5%
0043-0003 1
 
0.5%
Other values (84) 84
42.4%
2023-12-12T18:33:59.977285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 455
35.4%
평 99
 
7.7%
택 99
 
7.7%
동 99
 
7.7%
99
 
7.7%
- 99
 
7.7%
3 94
 
7.3%
4 69
 
5.4%
1 55
 
4.3%
2 37
 
2.9%
Other values (5) 82
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 792
61.5%
Other Letter 297
 
23.1%
Space Separator 99
 
7.7%
Dash Punctuation 99
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 455
57.4%
3 94
 
11.9%
4 69
 
8.7%
1 55
 
6.9%
2 37
 
4.7%
5 29
 
3.7%
7 21
 
2.7%
9 15
 
1.9%
6 11
 
1.4%
8 6
 
0.8%
Other Letter
ValueCountFrequency (%)
평 99
33.3%
택 99
33.3%
동 99
33.3%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 990
76.9%
Hangul 297
 
23.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 455
46.0%
99
 
10.0%
- 99
 
10.0%
3 94
 
9.5%
4 69
 
7.0%
1 55
 
5.6%
2 37
 
3.7%
5 29
 
2.9%
7 21
 
2.1%
9 15
 
1.5%
Other values (2) 17
 
1.7%
Hangul
ValueCountFrequency (%)
평 99
33.3%
택 99
33.3%
동 99
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990
76.9%
Hangul 297
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 455
46.0%
99
 
10.0%
- 99
 
10.0%
3 94
 
9.5%
4 69
 
7.0%
1 55
 
5.6%
2 37
 
3.7%
5 29
 
2.9%
7 21
 
2.1%
9 15
 
1.5%
Other values (2) 17
 
1.7%
Hangul
ValueCountFrequency (%)
평 99
33.3%
택 99
33.3%
동 99
33.3%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean899.6558
Minimum26
Maximum7737.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T18:34:00.153673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile111.348
Q1236.70505
median453.6
Q3820.595
95-th percentile3367.272
Maximum7737.89
Range7711.89
Interquartile range (IQR)583.88995

Descriptive statistics

Standard deviation1360.9538
Coefficient of variation (CV)1.5127494
Kurtosis12.667884
Mean899.6558
Median Absolute Deviation (MAD)240.6
Skewness3.3630401
Sum89065.924
Variance1852195.2
MonotonicityNot monotonic
2023-12-12T18:34:00.297876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.2 1
 
1.0%
261.96 1
 
1.0%
3103.4836 1
 
1.0%
595.44 1
 
1.0%
485.91 1
 
1.0%
983.83 1
 
1.0%
255.76 1
 
1.0%
730.62 1
 
1.0%
1290.42 1
 
1.0%
7737.89 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
26.0 1
1.0%
81.15 1
1.0%
82.14 1
1.0%
85.4 1
1.0%
99.0 1
1.0%
112.72 1
1.0%
124.4 1
1.0%
130.39 1
1.0%
130.54 1
1.0%
141.6 1
1.0%
ValueCountFrequency (%)
7737.89 1
1.0%
7685.79 1
1.0%
5110.98 1
1.0%
4435.4394 1
1.0%
4008.5398 1
1.0%
3296.02 1
1.0%
3103.4836 1
1.0%
3090.45 1
1.0%
2938.44 1
1.0%
2096.4 1
1.0%

전용면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean854.61904
Minimum26
Maximum7737.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T18:34:00.454888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile111.348
Q1235.58
median447.54
Q3772.81
95-th percentile3111.007
Maximum7737.89
Range7711.89
Interquartile range (IQR)537.23

Descriptive statistics

Standard deviation1237.9094
Coefficient of variation (CV)1.4484926
Kurtosis12.320625
Mean854.61904
Median Absolute Deviation (MAD)228.74
Skewness3.2642007
Sum84607.285
Variance1532419.6
MonotonicityNot monotonic
2023-12-12T18:34:00.658370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.2 1
 
1.0%
261.96 1
 
1.0%
3022.56 1
 
1.0%
595.44 1
 
1.0%
485.91 1
 
1.0%
761.43 1
 
1.0%
255.76 1
 
1.0%
697.68 1
 
1.0%
1290.42 1
 
1.0%
7737.89 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
26.0 1
1.0%
79.6 1
1.0%
81.15 1
1.0%
82.14 1
1.0%
99.0 1
1.0%
112.72 1
1.0%
124.4 1
1.0%
130.39 1
1.0%
130.54 1
1.0%
141.6 1
1.0%
ValueCountFrequency (%)
7737.89 1
1.0%
5541.09 1
1.0%
5110.98 1
1.0%
4352.28 1
1.0%
3296.02 1
1.0%
3090.45 1
1.0%
3022.56 1
1.0%
2938.44 1
1.0%
2855.86 1
1.0%
2096.4 1
1.0%

공부상지목
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
08 대지
99 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08 대지
2nd row08 대지
3rd row08 대지
4th row08 대지
5th row08 대지

Common Values

ValueCountFrequency (%)
08 대지 99
100.0%

Length

2023-12-12T18:34:00.840210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:34:00.931953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08 99
50.0%
대지 99
50.0%

시가표준액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4578154 × 108
Minimum1534000
Maximum4.5177136 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T18:34:01.029857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1534000
5-th percentile12473570
Q150436651
median1.1264667 × 108
Q32.8203273 × 108
95-th percentile1.4549578 × 109
Maximum4.5177136 × 109
Range4.5161796 × 109
Interquartile range (IQR)2.3159608 × 108

Descriptive statistics

Standard deviation6.7867638 × 108
Coefficient of variation (CV)1.9627317
Kurtosis18.145747
Mean3.4578154 × 108
Median Absolute Deviation (MAD)79153105
Skewness3.9263386
Sum3.4232372 × 1010
Variance4.6060162 × 1017
MonotonicityNot monotonic
2023-12-12T18:34:01.153116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186792041 1
 
1.0%
174106311 1
 
1.0%
1150457436 1
 
1.0%
300726971 1
 
1.0%
99968040 1
 
1.0%
385167611 1
 
1.0%
119184160 1
 
1.0%
73829148 1
 
1.0%
1019426020 1
 
1.0%
4517713649 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1534000 1
1.0%
6792360 1
1.0%
7693010 1
1.0%
8118000 1
1.0%
11632700 1
1.0%
12567000 1
1.0%
16258530 1
1.0%
16282160 1
1.0%
17184080 1
1.0%
18728220 1
1.0%
ValueCountFrequency (%)
4517713649 1
1.0%
3134542876 1
1.0%
2895673459 1
1.0%
1747461992 1
1.0%
1520509452 1
1.0%
1447674291 1
1.0%
1250647842 1
1.0%
1150457436 1
1.0%
1088300918 1
1.0%
1019426020 1
1.0%

Interactions

2023-12-12T18:33:57.177803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.406315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.946604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.777498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.483885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:57.291189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.496717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.321474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.882555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.609545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:57.409190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.615060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.427578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.057942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.765395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:57.534482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.738018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.547402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.202071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.910407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:57.672290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:54.861903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:55.661606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:56.346077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:33:57.052120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:34:01.228703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물구조건물위치건물지붕물건지지번주소연면적전용면적시가표준액
건물구조1.0000.1880.6930.8770.0000.0000.000
건물위치0.1881.0000.0001.0000.7370.5540.427
건물지붕0.6930.0001.0000.8710.0000.0000.000
물건지지번주소0.8771.0000.8711.0000.5870.0000.000
연면적0.0000.7370.0000.5871.0000.9800.857
전용면적0.0000.5540.0000.0000.9801.0000.941
시가표준액0.0000.4270.0000.0000.8570.9411.000
2023-12-12T18:34:01.324396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물구조건물위치연면적전용면적시가표준액건물지붕
건물구조1.000-0.146-0.323-0.323-0.4380.553
건물위치-0.1461.0000.1780.1780.1540.000
연면적-0.3230.1781.0000.9980.9260.000
전용면적-0.3230.1780.9981.0000.9210.000
시가표준액-0.4380.1540.9260.9211.0000.000
건물지붕0.5530.0000.0000.0000.0001.000

Missing values

2023-12-12T18:33:57.825373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:33:57.993022image/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

자치단체기준년도건물형태건물구조건물위치건물지붕물건지지번주소연면적전용면적공부상지목시가표준액
0평택시2023일반211611평택동 0023-0002600.2600.208 대지186792041
1평택시2023일반511621평택동 0023-000399.099.008 대지8118000
2평택시2023일반511621평택동 0023-001181.1581.1508 대지6792360
3평택시2023일반311611평택동 0023-001282.1482.1408 대지33493565
4평택시2023일반211611평택동 0023-0014152.26152.2608 대지83522220
5평택시2023일반211611평택동 0023-0016124.4124.408 대지34700482
6평택시2023일반211811평택동 0032-00027685.795541.0908 대지2895673459
7평택시2023일반211899평택동 0032-00021516.33011480.4608 대지1447674291
8평택시2023일반211811평택동 0032-0004437.64437.6408 대지81559560
9평택시2023일반311811평택동 0032-0005351.69351.6908 대지37914060
자치단체기준년도건물형태건물구조건물위치건물지붕물건지지번주소연면적전용면적공부상지목시가표준액
89평택시2023일반622031평택동 0044-0015130.54130.5408 대지16282160
90평택시2023일반212011평택동 0044-0016238.68238.6808 대지54884465
91평택시2023일반212011평택동 0044-0017562.4562.408 대지121700204
92평택시2023일반212011평택동 0044-0018384.51384.5108 대지127560530
93평택시2023일반212011평택동 0045-00012058.492058.4908 대지575299010
94평택시2023일반212011평택동 0045-0003755.9755.908 대지136429480
95평택시2023일반212111평택동 0045-00043296.023296.0208 대지1747461992
96평택시2023일반212111평택동 0045-00061394.641394.6408 대지509004012
97평택시2023일반212211평택동 0045-0007425.31425.3108 대지186424940
98평택시2023일반212211평택동 0045-0007459.54447.5408 대지200189399