Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory110.0 B

Variable types

Numeric3
Text2
Categorical4
DateTime2
Boolean1

Dataset

Description충청북도 청주시 개별공시지가 정보 제공-구코드(5), 동코드(5),일반번지/산번지(1), 본번(4), 부번(4)
Author충청북도 청주시
URLhttps://www.data.go.kr/data/3077383/fileData.do

Alerts

기준년도 has constant value ""Constant
기준월 has constant value ""Constant
공시일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
특수지구분코드 is highly overall correlated with 특수지구분명High correlation
특수지구분명 is highly overall correlated with 특수지구분코드High correlation
고유번호 is highly overall correlated with 법정동코드 and 1 other fieldsHigh correlation
법정동코드 is highly overall correlated with 고유번호 and 1 other fieldsHigh correlation
공시지가 is highly overall correlated with 고유번호 and 1 other fieldsHigh correlation
특수지구분코드 is highly imbalanced (77.5%)Imbalance
특수지구분명 is highly imbalanced (77.5%)Imbalance
표준지여부 is highly imbalanced (88.9%)Imbalance
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:02:46.766701
Analysis finished2023-12-12 22:02:48.545269
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3111238 × 1018
Minimum4.3111101 × 1018
Maximum4.311133 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:02:48.611816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3111101 × 1018
5-th percentile4.311111 × 1018
Q14.3111123 × 1018
median4.311131 × 1018
Q34.311132 × 1018
95-th percentile4.311132 × 1018
Maximum4.311133 × 1018
Range2.2923004 × 1013
Interquartile range (IQR)1.9730998 × 1013

Descriptive statistics

Standard deviation9.7619772 × 1012
Coefficient of variation (CV)2.2643695 × 10-6
Kurtosis-1.8158521
Mean4.3111238 × 1018
Median Absolute Deviation (MAD)1.0140001 × 1012
Skewness-0.40757764
Sum1.1974185 × 1018
Variance9.52962 × 1025
MonotonicityNot monotonic
2023-12-13T07:02:48.748420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4311132021106840021 1
 
< 0.1%
4311111200100810167 1
 
< 0.1%
4311132030106020000 1
 
< 0.1%
4311111900101350104 1
 
< 0.1%
4311132021200380000 1
 
< 0.1%
4311132031102570007 1
 
< 0.1%
4311132036103690001 1
 
< 0.1%
4311131022100520001 1
 
< 0.1%
4311112400128830000 1
 
< 0.1%
4311131021101980000 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4311110100100050011 1
< 0.1%
4311110100100130001 1
< 0.1%
4311110100100130005 1
< 0.1%
4311110100100130012 1
< 0.1%
4311110100100130013 1
< 0.1%
4311110100100130025 1
< 0.1%
4311110100100130028 1
< 0.1%
4311110100100130031 1
< 0.1%
4311110100100140004 1
< 0.1%
4311110100100140006 1
< 0.1%
ValueCountFrequency (%)
4311133023103620000 1
< 0.1%
4311133023103580000 1
< 0.1%
4311133023103570000 1
< 0.1%
4311133023103520001 1
< 0.1%
4311133023103450004 1
< 0.1%
4311133023103440008 1
< 0.1%
4311133023103440005 1
< 0.1%
4311133023103430002 1
< 0.1%
4311133023103420001 1
< 0.1%
4311133023103350001 1
< 0.1%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3111238 × 109
Minimum4.3111101 × 109
Maximum4.311133 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:02:49.118931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3111101 × 109
5-th percentile4.311111 × 109
Q14.3111123 × 109
median4.311131 × 109
Q34.311132 × 109
95-th percentile4.311132 × 109
Maximum4.311133 × 109
Range22923
Interquartile range (IQR)19731

Descriptive statistics

Standard deviation9761.9762
Coefficient of variation (CV)2.2643693 × 10-6
Kurtosis-1.8158524
Mean4.3111238 × 109
Median Absolute Deviation (MAD)1014
Skewness-0.40757747
Sum4.3111238 × 1013
Variance95296180
MonotonicityNot monotonic
2023-12-13T07:02:49.248383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4311112400 501
 
5.0%
4311111200 390
 
3.9%
4311112000 349
 
3.5%
4311132021 337
 
3.4%
4311111900 284
 
2.8%
4311131023 281
 
2.8%
4311112500 275
 
2.8%
4311113000 243
 
2.4%
4311131021 238
 
2.4%
4311112100 224
 
2.2%
Other values (55) 6878
68.8%
ValueCountFrequency (%)
4311110100 41
 
0.4%
4311110200 52
0.5%
4311110300 49
0.5%
4311110400 23
 
0.2%
4311110500 67
0.7%
4311110600 27
 
0.3%
4311110700 40
 
0.4%
4311110800 79
0.8%
4311110900 91
0.9%
4311111000 119
1.2%
ValueCountFrequency (%)
4311133023 110
1.1%
4311133022 128
1.3%
4311133021 208
2.1%
4311132044 133
1.3%
4311132043 146
1.5%
4311132042 142
1.4%
4311132041 147
1.5%
4311132040 137
1.4%
4311132039 111
1.1%
4311132038 199
2.0%

법정동명
Text

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:02:49.482519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length18.3612
Min length15

Characters and Unicode

Total characters183612
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 청주시 상당구 미원면 미원리
2nd row충청북도 청주시 상당구 영운동
3rd row충청북도 청주시 상당구 용담동
4th row충청북도 청주시 상당구 용암동
5th row충청북도 청주시 상당구 서운동
ValueCountFrequency (%)
충청북도 10000
21.7%
상당구 10000
21.7%
청주시 10000
21.7%
미원면 3668
 
8.0%
낭성면 1883
 
4.1%
용암동 501
 
1.1%
가덕면 446
 
1.0%
수동 390
 
0.8%
금천동 349
 
0.8%
미원리 337
 
0.7%
Other values (60) 8423
18.3%
2023-12-13T07:02:49.821962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35997
19.6%
청 20208
11.0%
북 10240
 
5.6%
구 10192
 
5.6%
주 10119
 
5.5%
충 10000
 
5.4%
도 10000
 
5.4%
시 10000
 
5.4%
상 10000
 
5.4%
당 10000
 
5.4%
Other values (66) 46856
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147397
80.3%
Space Separator 35997
 
19.6%
Decimal Number 218
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 20208
13.7%
북 10240
 
6.9%
구 10192
 
6.9%
주 10119
 
6.9%
충 10000
 
6.8%
도 10000
 
6.8%
시 10000
 
6.8%
상 10000
 
6.8%
당 10000
 
6.8%
리 5997
 
4.1%
Other values (62) 40641
27.6%
Decimal Number
ValueCountFrequency (%)
1 119
54.6%
2 76
34.9%
3 23
 
10.6%
Space Separator
ValueCountFrequency (%)
35997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147397
80.3%
Common 36215
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 20208
13.7%
북 10240
 
6.9%
구 10192
 
6.9%
주 10119
 
6.9%
충 10000
 
6.8%
도 10000
 
6.8%
시 10000
 
6.8%
상 10000
 
6.8%
당 10000
 
6.8%
리 5997
 
4.1%
Other values (62) 40641
27.6%
Common
ValueCountFrequency (%)
35997
99.4%
1 119
 
0.3%
2 76
 
0.2%
3 23
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147397
80.3%
ASCII 36215
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35997
99.4%
1 119
 
0.3%
2 76
 
0.2%
3 23
 
0.1%
Hangul
ValueCountFrequency (%)
청 20208
13.7%
북 10240
 
6.9%
구 10192
 
6.9%
주 10119
 
6.9%
충 10000
 
6.8%
도 10000
 
6.8%
시 10000
 
6.8%
상 10000
 
6.8%
당 10000
 
6.8%
리 5997
 
4.1%
Other values (62) 40641
27.6%

특수지구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9101 
2
 
879
6
 
18
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9101
91.0%
2 879
 
8.8%
6 18
 
0.2%
5 2
 
< 0.1%

Length

2023-12-13T07:02:49.945117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:50.032431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9101
91.0%
2 879
 
8.8%
6 18
 
0.2%
5 2
 
< 0.1%

특수지구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반
9101 
산
 
879
블럭지번(롯트세분)
 
18
블럭지번
 
2

Length

Max length10
Median length2
Mean length1.9269
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 9101
91.0%
산 879
 
8.8%
블럭지번(롯트세분) 18
 
0.2%
블럭지번 2
 
< 0.1%

Length

2023-12-13T07:02:50.167603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:50.264507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 9101
91.0%
산 879
 
8.8%
블럭지번(롯트세분 18
 
0.2%
블럭지번 2
 
< 0.1%

지번
Text

Distinct5601
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:02:50.608424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.3349
Min length1

Characters and Unicode

Total characters43349
Distinct characters11
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

Unique3651 ?
Unique (%)36.5%

Sample

1st row684-21
2nd row191-32
3rd row55-11
4th row3480
5th row37-28
ValueCountFrequency (%)
28 12
 
0.1%
54 12
 
0.1%
38 12
 
0.1%
53 11
 
0.1%
65 11
 
0.1%
49 10
 
0.1%
10 10
 
0.1%
2 10
 
0.1%
44 10
 
0.1%
15 10
 
0.1%
Other values (5591) 9892
98.9%
2023-12-13T07:02:51.218269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7223
16.7%
- 7114
16.4%
2 5616
13.0%
3 4467
10.3%
4 3699
8.5%
5 3335
7.7%
6 2792
 
6.4%
7 2368
 
5.5%
8 2325
 
5.4%
0 2247
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36235
83.6%
Dash Punctuation 7114
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7223
19.9%
2 5616
15.5%
3 4467
12.3%
4 3699
10.2%
5 3335
9.2%
6 2792
 
7.7%
7 2368
 
6.5%
8 2325
 
6.4%
0 2247
 
6.2%
9 2163
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 7114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7223
16.7%
- 7114
16.4%
2 5616
13.0%
3 4467
10.3%
4 3699
8.5%
5 3335
7.7%
6 2792
 
6.4%
7 2368
 
5.5%
8 2325
 
5.4%
0 2247
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7223
16.7%
- 7114
16.4%
2 5616
13.0%
3 4467
10.3%
4 3699
8.5%
5 3335
7.7%
6 2792
 
6.4%
7 2368
 
5.5%
8 2325
 
5.4%
0 2247
 
5.2%

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023
10000 

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 10000
100.0%

Length

2023-12-13T07:02:51.372740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:51.468898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 10000
100.0%

기준월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T07:02:51.568591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:51.680621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

공시지가
Real number (ℝ)

HIGH CORRELATION 

Distinct3257
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195207.21
Minimum402
Maximum8932000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:02:51.810709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum402
5-th percentile2609
Q116800
median33900
Q3213150
95-th percentile776135
Maximum8932000
Range8931598
Interquartile range (IQR)196350

Descriptive statistics

Standard deviation440049.42
Coefficient of variation (CV)2.2542683
Kurtosis119.03609
Mean195207.21
Median Absolute Deviation (MAD)26680
Skewness8.4822619
Sum1.9520721 × 109
Variance1.9364349 × 1011
MonotonicityNot monotonic
2023-12-13T07:02:51.995821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573100 49
 
0.5%
7680 46
 
0.5%
24700 43
 
0.4%
7980 43
 
0.4%
20900 41
 
0.4%
6890 37
 
0.4%
23700 37
 
0.4%
6760 35
 
0.4%
10200 35
 
0.4%
23400 34
 
0.3%
Other values (3247) 9600
96.0%
ValueCountFrequency (%)
402 1
< 0.1%
432 1
< 0.1%
445 1
< 0.1%
491 1
< 0.1%
508 1
< 0.1%
541 2
< 0.1%
613 1
< 0.1%
646 1
< 0.1%
689 1
< 0.1%
753 1
< 0.1%
ValueCountFrequency (%)
8932000 1
< 0.1%
8297000 1
< 0.1%
8135000 1
< 0.1%
8013000 2
< 0.1%
7972000 1
< 0.1%
7840000 1
< 0.1%
7541000 2
< 0.1%
7204000 2
< 0.1%
5535000 1
< 0.1%
5108000 1
< 0.1%

공시일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-04-28 00:00:00
Maximum2023-04-28 00:00:00
2023-12-13T07:02:52.128279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:52.243580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

표준지여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9852 
True
 
148
ValueCountFrequency (%)
False 9852
98.5%
True 148
 
1.5%
2023-12-13T07:02:52.388165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-04-28 00:00:00
Maximum2023-04-28 00:00:00
2023-12-13T07:02:52.478289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:52.579837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:02:48.021719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.510217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.762983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:48.121233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.590734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.846944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:48.206859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.681154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:47.937646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:02:52.657606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호법정동코드법정동명특수지구분코드특수지구분명공시지가표준지여부
고유번호1.0001.0001.0000.1150.1150.3710.018
법정동코드1.0001.0001.0000.1140.1140.3710.017
법정동명1.0001.0001.0000.5210.5210.6490.052
특수지구분코드0.1150.1140.5211.0001.0000.1580.174
특수지구분명0.1150.1140.5211.0001.0000.1580.174
공시지가0.3710.3710.6490.1580.1581.0000.085
표준지여부0.0180.0170.0520.1740.1740.0851.000
2023-12-13T07:02:52.786437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특수지구분코드특수지구분명표준지여부
특수지구분코드1.0001.0000.115
특수지구분명1.0001.0000.115
표준지여부0.1150.1151.000
2023-12-13T07:02:52.891531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호법정동코드공시지가특수지구분코드특수지구분명표준지여부
고유번호1.0001.000-0.6850.1080.1080.030
법정동코드1.0001.000-0.6820.1080.1080.030
공시지가-0.685-0.6821.0000.1020.1020.085
특수지구분코드0.1080.1080.1021.0001.0000.115
특수지구분명0.1080.1080.1021.0001.0000.115
표준지여부0.0300.0300.0850.1150.1151.000

Missing values

2023-12-13T07:02:48.329783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:02:48.476124image/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

고유번호법정동코드법정동명특수지구분코드특수지구분명지번기준년도기준월공시지가공시일자표준지여부데이터기준일자
5235343111320211068400214311132021충청북도 청주시 상당구 미원면 미원리1일반684-2120231876002023-04-28N2023-04-28
1390843111119001019100324311111900충청북도 청주시 상당구 영운동1일반191-32202311495002023-04-28N2023-04-28
1922843111121002005500114311112100충청북도 청주시 상당구 용담동2산55-1120231328002023-04-28N2023-04-28
2522643111124001348000004311112400충청북도 청주시 상당구 용암동1일반3480202317101002023-04-28N2023-04-28
324443111108001003700284311110800충청북도 청주시 상당구 서운동1일반37-28202311845002023-04-28N2023-04-28
3056443111129001007000064311112900충청북도 청주시 상당구 운동동1일반70-620231849002023-04-28N2023-04-28
8111443111320441043700004311132044충청북도 청주시 상당구 미원면 성대리1일반43720231239002023-04-28N2023-04-28
3453943111310211024300094311131021충청북도 청주시 상당구 낭성면 관정리1일반243-92023187702023-04-28N2023-04-28
1932843111122001000900044311112200충청북도 청주시 상당구 명암동1일반9-4202311375002023-04-28N2023-04-28
2081843111123001021900104311112300충청북도 청주시 상당구 산성동1일반219-10202313666002023-04-28N2023-04-28
고유번호법정동코드법정동명특수지구분코드특수지구분명지번기준년도기준월공시지가공시일자표준지여부데이터기준일자
3132143111129001051700014311112900충청북도 청주시 상당구 운동동1일반517-120231686002023-04-28N2023-04-28
4305143111310281005100274311131028충청북도 청주시 상당구 낭성면 지산리1일반51-2720231758002023-04-28N2023-04-28
7626243111320401052500044311132040충청북도 청주시 상당구 미원면 월용리1일반525-42023152102023-04-28N2023-04-28
1417343111119001021300054311111900충청북도 청주시 상당구 영운동1일반213-5202315041002023-04-28Y2023-04-28
5262743111320221002200024311132022충청북도 청주시 상당구 미원면 쌍이리1일반22-220231271002023-04-28N2023-04-28
6992143111320361040800034311132036충청북도 청주시 상당구 미원면 종암리1일반408-320231251002023-04-28N2023-04-28
5346743111320221029600014311132022충청북도 청주시 상당구 미원면 쌍이리1일반296-120231423002023-04-28N2023-04-28
3911443111310241014700004311131024충청북도 청주시 상당구 낭성면 호정리1일반14720231300002023-04-28N2023-04-28
1868643111121001020900394311112100충청북도 청주시 상당구 용담동1일반209-3920231911002023-04-28N2023-04-28
536043111111001002300004311111100충청북도 청주시 상당구 석교동1일반23202315550002023-04-28N2023-04-28