Overview

Dataset statistics

Number of variables9
Number of observations8121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.6 KiB
Average record size in memory80.0 B

Variable types

Categorical3
Text1
Numeric5

Dataset

Description전북특별자치도 장수군 개별주택가격 현황(기준년도, 기준월, 소재지, 동번호, 전체대지면적, 전체건물연면적, 산정대지면적, 산정건물연면적, 개별주택가격)에 대한 데이터 정보를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15013440/fileData.do

Alerts

기준년도 has constant value ""Constant
기준월 has constant value ""Constant
동번호 has constant value ""Constant
전체대지면적(제곱미터) is highly overall correlated with 산정대지면적(제곱미터) High correlation
전체건물연면적(제곱미터) is highly overall correlated with 산정건물연면적(제곱미터) High correlation
산정대지면적(제곱미터) is highly overall correlated with 전체대지면적(제곱미터) High correlation
산정건물연면적(제곱미터) is highly overall correlated with 전체건물연면적(제곱미터) and 1 other fieldsHigh correlation
개별주택가격(원) is highly overall correlated with 산정건물연면적(제곱미터) High correlation
전체대지면적(제곱미터) is highly skewed (γ1 = 27.32141599)Skewed
산정대지면적(제곱미터) is highly skewed (γ1 = 27.32141599)Skewed

Reproduction

Analysis started2024-04-06 08:31:51.092328
Analysis finished2024-04-06 08:31:58.650598
Duration7.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023
8121 

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 8121
100.0%

Length

2024-04-06T17:31:58.782517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:58.976153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 8121
100.0%

기준월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
1
8121 

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 8121
100.0%

Length

2024-04-06T17:31:59.217748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:59.475295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8121
100.0%

소재지
Text

Distinct8040
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2024-04-06T17:32:00.179323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length24.446127
Min length21

Characters and Unicode

Total characters198527
Distinct characters101
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

Unique7964 ?
Unique (%)98.1%

Sample

1st row전북특별자치도 장수군 장수읍 장수리 61
2nd row전북특별자치도 장수군 장수읍 장수리 70
3rd row전북특별자치도 장수군 장수읍 장수리 91-7
4th row전북특별자치도 장수군 장수읍 장수리 91-11
5th row전북특별자치도 장수군 장수읍 장수리 95
ValueCountFrequency (%)
전북특별자치도 8121
20.0%
장수군 8121
20.0%
장수읍 1892
 
4.7%
장계면 1464
 
3.6%
번암면 1117
 
2.7%
산서면 1014
 
2.5%
천천면 966
 
2.4%
계남면 917
 
2.3%
계북면 751
 
1.8%
장계리 568
 
1.4%
Other values (4776) 15727
38.7%
2024-04-06T17:32:01.408592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32537
 
16.4%
장 12643
 
6.4%
수 10536
 
5.3%
북 8872
 
4.5%
전 8464
 
4.3%
특 8121
 
4.1%
별 8121
 
4.1%
자 8121
 
4.1%
치 8121
 
4.1%
도 8121
 
4.1%
Other values (91) 84870
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129989
65.5%
Space Separator 32537
 
16.4%
Decimal Number 30720
 
15.5%
Dash Punctuation 5281
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12643
 
9.7%
수 10536
 
8.1%
북 8872
 
6.8%
전 8464
 
6.5%
특 8121
 
6.2%
별 8121
 
6.2%
자 8121
 
6.2%
치 8121
 
6.2%
도 8121
 
6.2%
군 8121
 
6.2%
Other values (79) 40748
31.3%
Decimal Number
ValueCountFrequency (%)
1 6815
22.2%
2 3493
11.4%
3 3022
9.8%
4 2942
9.6%
5 2819
9.2%
6 2721
 
8.9%
7 2525
 
8.2%
8 2288
 
7.4%
9 2113
 
6.9%
0 1982
 
6.5%
Space Separator
ValueCountFrequency (%)
32537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129989
65.5%
Common 68538
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12643
 
9.7%
수 10536
 
8.1%
북 8872
 
6.8%
전 8464
 
6.5%
특 8121
 
6.2%
별 8121
 
6.2%
자 8121
 
6.2%
치 8121
 
6.2%
도 8121
 
6.2%
군 8121
 
6.2%
Other values (79) 40748
31.3%
Common
ValueCountFrequency (%)
32537
47.5%
1 6815
 
9.9%
- 5281
 
7.7%
2 3493
 
5.1%
3 3022
 
4.4%
4 2942
 
4.3%
5 2819
 
4.1%
6 2721
 
4.0%
7 2525
 
3.7%
8 2288
 
3.3%
Other values (2) 4095
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129989
65.5%
ASCII 68538
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32537
47.5%
1 6815
 
9.9%
- 5281
 
7.7%
2 3493
 
5.1%
3 3022
 
4.4%
4 2942
 
4.3%
5 2819
 
4.1%
6 2721
 
4.0%
7 2525
 
3.7%
8 2288
 
3.3%
Other values (2) 4095
 
6.0%
Hangul
ValueCountFrequency (%)
장 12643
 
9.7%
수 10536
 
8.1%
북 8872
 
6.8%
전 8464
 
6.5%
특 8121
 
6.2%
별 8121
 
6.2%
자 8121
 
6.2%
치 8121
 
6.2%
도 8121
 
6.2%
군 8121
 
6.2%
Other values (79) 40748
31.3%

동번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
1
8121 

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 8121
100.0%

Length

2024-04-06T17:32:02.084596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:32:02.287003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8121
100.0%

전체대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct1630
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.91494
Minimum2
Maximum85000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.5 KiB
2024-04-06T17:32:02.491882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile145
Q1278
median407
Q3598
95-th percentile995
Maximum85000
Range84998
Interquartile range (IQR)320

Descriptive statistics

Standard deviation2011.4237
Coefficient of variation (CV)3.4039141
Kurtosis966.66462
Mean590.91494
Median Absolute Deviation (MAD)149
Skewness27.321416
Sum4798820.2
Variance4045825.2
MonotonicityNot monotonic
2024-04-06T17:32:02.750249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660.0 203
 
2.5%
347.0 49
 
0.6%
248.0 48
 
0.6%
340.0 48
 
0.6%
258.0 47
 
0.6%
307.0 46
 
0.6%
294.0 46
 
0.6%
393.0 43
 
0.5%
314.0 43
 
0.5%
350.0 40
 
0.5%
Other values (1620) 7508
92.5%
ValueCountFrequency (%)
2.0 1
< 0.1%
7.0 1
< 0.1%
16.0 1
< 0.1%
17.0 1
< 0.1%
19.0 1
< 0.1%
20.0 1
< 0.1%
23.0 1
< 0.1%
26.0 2
< 0.1%
27.0 1
< 0.1%
30.0 2
< 0.1%
ValueCountFrequency (%)
85000.0 1
< 0.1%
84586.0 1
< 0.1%
67041.0 1
< 0.1%
37202.0 1
< 0.1%
34000.0 1
< 0.1%
33795.0 1
< 0.1%
32058.0 1
< 0.1%
30050.0 1
< 0.1%
28933.0 1
< 0.1%
25173.0 1
< 0.1%

전체건물연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct5525
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.4355
Minimum13.2
Maximum3497.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.5 KiB
2024-04-06T17:32:03.067199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile48.74
Q182.14
median106.8
Q3143.52
95-th percentile262.4
Maximum3497.88
Range3484.68
Interquartile range (IQR)61.38

Descriptive statistics

Standard deviation112.97444
Coefficient of variation (CV)0.87962002
Kurtosis224.70729
Mean128.4355
Median Absolute Deviation (MAD)29.3
Skewness10.824422
Sum1043024.7
Variance12763.224
MonotonicityNot monotonic
2024-04-06T17:32:03.418183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 23
 
0.3%
54.0 21
 
0.3%
101.41 18
 
0.2%
66.0 16
 
0.2%
88.0 13
 
0.2%
40.0 13
 
0.2%
57.0 12
 
0.1%
44.0 12
 
0.1%
104.09 12
 
0.1%
50.0 11
 
0.1%
Other values (5515) 7970
98.1%
ValueCountFrequency (%)
13.2 1
 
< 0.1%
15.5 1
 
< 0.1%
16.3 1
 
< 0.1%
16.5 1
 
< 0.1%
17.11 1
 
< 0.1%
17.5 1
 
< 0.1%
18.0 3
< 0.1%
18.6 1
 
< 0.1%
18.72 1
 
< 0.1%
19.0 3
< 0.1%
ValueCountFrequency (%)
3497.88 1
< 0.1%
3220.79 1
< 0.1%
2548.98 1
< 0.1%
1787.63 1
< 0.1%
1762.17 1
< 0.1%
1426.65 1
< 0.1%
1425.68 1
< 0.1%
1385.9 1
< 0.1%
1302.52 1
< 0.1%
1259.8 1
< 0.1%

산정대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct1630
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.91494
Minimum2
Maximum85000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.5 KiB
2024-04-06T17:32:03.713907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile145
Q1278
median407
Q3598
95-th percentile995
Maximum85000
Range84998
Interquartile range (IQR)320

Descriptive statistics

Standard deviation2011.4237
Coefficient of variation (CV)3.4039141
Kurtosis966.66462
Mean590.91494
Median Absolute Deviation (MAD)149
Skewness27.321416
Sum4798820.2
Variance4045825.2
MonotonicityNot monotonic
2024-04-06T17:32:04.036897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660.0 203
 
2.5%
347.0 49
 
0.6%
248.0 48
 
0.6%
340.0 48
 
0.6%
258.0 47
 
0.6%
307.0 46
 
0.6%
294.0 46
 
0.6%
393.0 43
 
0.5%
314.0 43
 
0.5%
350.0 40
 
0.5%
Other values (1620) 7508
92.5%
ValueCountFrequency (%)
2.0 1
< 0.1%
7.0 1
< 0.1%
16.0 1
< 0.1%
17.0 1
< 0.1%
19.0 1
< 0.1%
20.0 1
< 0.1%
23.0 1
< 0.1%
26.0 2
< 0.1%
27.0 1
< 0.1%
30.0 2
< 0.1%
ValueCountFrequency (%)
85000.0 1
< 0.1%
84586.0 1
< 0.1%
67041.0 1
< 0.1%
37202.0 1
< 0.1%
34000.0 1
< 0.1%
33795.0 1
< 0.1%
32058.0 1
< 0.1%
30050.0 1
< 0.1%
28933.0 1
< 0.1%
25173.0 1
< 0.1%

산정건물연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct5338
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.70811
Minimum10.15
Maximum1116.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.5 KiB
2024-04-06T17:32:04.311861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.15
5-th percentile45.15
Q178.72
median102.1
Q3134.1
95-th percentile207.62
Maximum1116.75
Range1106.6
Interquartile range (IQR)55.38

Descriptive statistics

Standard deviation57.079617
Coefficient of variation (CV)0.50643754
Kurtosis28.389384
Mean112.70811
Median Absolute Deviation (MAD)27.1
Skewness3.1951588
Sum915302.55
Variance3258.0827
MonotonicityNot monotonic
2024-04-06T17:32:04.606889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 25
 
0.3%
54.0 21
 
0.3%
101.41 18
 
0.2%
66.0 17
 
0.2%
88.0 16
 
0.2%
72.0 14
 
0.2%
44.0 13
 
0.2%
40.0 13
 
0.2%
50.0 12
 
0.1%
57.0 12
 
0.1%
Other values (5328) 7960
98.0%
ValueCountFrequency (%)
10.15 1
< 0.1%
13.2 1
< 0.1%
15.36 1
< 0.1%
15.5 1
< 0.1%
15.84 1
< 0.1%
16.2 1
< 0.1%
16.3 1
< 0.1%
16.5 1
< 0.1%
17.11 1
< 0.1%
17.5 1
< 0.1%
ValueCountFrequency (%)
1116.75 1
< 0.1%
851.04 1
< 0.1%
836.38 1
< 0.1%
672.81 1
< 0.1%
664.83 1
< 0.1%
650.94 1
< 0.1%
638.59 1
< 0.1%
633.42 2
< 0.1%
616.08 1
< 0.1%
564.95 1
< 0.1%

개별주택가격(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct1617
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37687302
Minimum1060000
Maximum6.82 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.5 KiB
2024-04-06T17:32:05.037043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1060000
5-th percentile5830000
Q111300000
median25400000
Q350700000
95-th percentile1.07 × 108
Maximum6.82 × 108
Range6.8094 × 108
Interquartile range (IQR)39400000

Descriptive statistics

Standard deviation40038337
Coefficient of variation (CV)1.0623827
Kurtosis43.690427
Mean37687302
Median Absolute Deviation (MAD)16200000
Skewness4.402458
Sum3.0605858 × 1011
Variance1.6030684 × 1015
MonotonicityNot monotonic
2024-04-06T17:32:05.521004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10700000 39
 
0.5%
10300000 35
 
0.4%
10000000 34
 
0.4%
12500000 33
 
0.4%
13100000 33
 
0.4%
11300000 32
 
0.4%
10400000 30
 
0.4%
10600000 29
 
0.4%
13400000 28
 
0.3%
11700000 27
 
0.3%
Other values (1607) 7801
96.1%
ValueCountFrequency (%)
1060000 1
< 0.1%
1120000 1
< 0.1%
1280000 1
< 0.1%
1340000 1
< 0.1%
1410000 1
< 0.1%
1450000 1
< 0.1%
1610000 1
< 0.1%
1640000 1
< 0.1%
1650000 1
< 0.1%
1660000 1
< 0.1%
ValueCountFrequency (%)
682000000 1
< 0.1%
650000000 1
< 0.1%
591000000 1
< 0.1%
568000000 1
< 0.1%
557000000 1
< 0.1%
548000000 1
< 0.1%
543000000 1
< 0.1%
518000000 1
< 0.1%
507000000 1
< 0.1%
460000000 1
< 0.1%

Interactions

2024-04-06T17:31:56.998295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:52.888237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:53.884490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:55.012737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:56.019571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:57.191559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:53.086854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:54.085362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:55.178980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:56.216357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:57.481059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:53.344059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:54.296856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:55.428760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:56.419001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:57.668107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:53.507601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:54.593905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:55.617242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:56.598675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:57.880865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:53.706542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:54.787533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:55.810141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:56.786076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:32:05.832189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체대지면적(제곱미터)전체건물연면적(제곱미터)산정대지면적(제곱미터)산정건물연면적(제곱미터)개별주택가격(원)
전체대지면적(제곱미터)1.0000.0931.0000.0000.000
전체건물연면적(제곱미터)0.0931.0000.0930.6060.406
산정대지면적(제곱미터)1.0000.0931.0000.0000.000
산정건물연면적(제곱미터)0.0000.6060.0001.0000.872
개별주택가격(원)0.0000.4060.0000.8721.000
2024-04-06T17:32:06.122326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체대지면적(제곱미터)전체건물연면적(제곱미터)산정대지면적(제곱미터)산정건물연면적(제곱미터)개별주택가격(원)
전체대지면적(제곱미터)1.0000.3331.0000.3360.347
전체건물연면적(제곱미터)0.3331.0000.3330.8900.479
산정대지면적(제곱미터)1.0000.3331.0000.3360.347
산정건물연면적(제곱미터)0.3360.8900.3361.0000.504
개별주택가격(원)0.3470.4790.3470.5041.000

Missing values

2024-04-06T17:31:58.197548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:31:58.482303image/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

기준년도기준월소재지동번호전체대지면적(제곱미터)전체건물연면적(제곱미터)산정대지면적(제곱미터)산정건물연면적(제곱미터)개별주택가격(원)
020231전북특별자치도 장수군 장수읍 장수리 611839.0240.53839.0240.5373300000
120231전북특별자치도 장수군 장수읍 장수리 701665.0198.26665.0198.26203000000
220231전북특별자치도 장수군 장수읍 장수리 91-71400.0330.15400.0330.15203000000
320231전북특별자치도 장수군 장수읍 장수리 91-111484.0330.15484.0330.15222000000
420231전북특별자치도 장수군 장수읍 장수리 951468.0125.5468.0125.5101000000
520231전북특별자치도 장수군 장수읍 장수리 95-41470.0114.03470.0114.0377700000
620231전북특별자치도 장수군 장수읍 장수리 95-51674.0104.45674.0104.4562500000
720231전북특별자치도 장수군 장수읍 장수리 95-121546.0102.22546.0102.2250300000
820231전북특별자치도 장수군 장수읍 장수리 95-271383.055.4383.055.41950000
920231전북특별자치도 장수군 장수읍 장수리 96-51393.0209.34393.0209.3427100000
기준년도기준월소재지동번호전체대지면적(제곱미터)전체건물연면적(제곱미터)산정대지면적(제곱미터)산정건물연면적(제곱미터)개별주택가격(원)
811120231전북특별자치도 장수군 계북면 양악리 884-21352.071.6352.071.68370000
811220231전북특별자치도 장수군 계북면 양악리 884-61406.057.6406.057.610100000
811320231전북특별자치도 장수군 계북면 양악리 91719304.037.59304.037.51660000
811420231전북특별자치도 장수군 계북면 양악리 9411650.0119.23650.0119.2344400000
811520231전북특별자치도 장수군 계북면 양악리 9521660.0121.26660.0121.26122000000
811620231전북특별자치도 장수군 계북면 양악리 986-11650.0154.57650.0154.5753800000
811720231전북특별자치도 장수군 계북면 양악리 10471562.0120.9562.0120.945100000
811820231전북특별자치도 장수군 계북면 양악리 1057-11585.0120.89585.0120.8934600000
811920231전북특별자치도 장수군 계북면 양악리 1115-11232.098.03232.098.03116000000
812020231전북특별자치도 장수군 계북면 양악리 11221495.084.75495.084.7561300000