Overview

Dataset statistics

Number of variables12
Number of observations41
Missing cells40
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory100.2 B

Variable types

Numeric1
Categorical7
Text4

Dataset

Description제주영어교육도시 공급대상토지 필지별 세부내역 및 예정가격(2014년 7월 1일 기준)
Author제주국제자유도시개발센터
URLhttps://www.data.go.kr/data/15044049/fileData.do

Alerts

용도지역 has constant value ""Constant
공급방법 has constant value ""Constant
비고 has constant value ""Constant
용적률 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
토지용도 is highly overall correlated with 건폐율 and 3 other fieldsHigh correlation
건폐율 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
높이 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 건폐율 and 2 other fieldsHigh correlation
공급단가(원/㎡) is highly overall correlated with 토지용도 and 3 other fieldsHigh correlation
비고 has 40 (97.6%) missing valuesMissing
연번 has unique valuesUnique
필지번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:38:51.407556
Analysis finished2023-12-12 06:38:52.353523
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T15:38:52.442508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T15:38:52.660012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

토지용도
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
단독주택용지(필지형)
24 
상업시설용지
7 
단독주택용지(블록형)
5 
공동주택용지
 
2
종교용지
 
1
Other values (2)
 
2

Length

Max length11
Median length11
Mean length9.5853659
Min length4

Unique

Unique3 ?
Unique (%)7.3%

Sample

1st row공동주택용지
2nd row공동주택용지
3rd row단독주택용지(필지형)
4th row단독주택용지(필지형)
5th row단독주택용지(필지형)

Common Values

ValueCountFrequency (%)
단독주택용지(필지형) 24
58.5%
상업시설용지 7
 
17.1%
단독주택용지(블록형) 5
 
12.2%
공동주택용지 2
 
4.9%
종교용지 1
 
2.4%
방송통신시설용지 1
 
2.4%
기타교육시설용지 1
 
2.4%

Length

2023-12-12T15:38:52.833310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:52.992162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택용지(필지형 24
58.5%
상업시설용지 7
 
17.1%
단독주택용지(블록형 5
 
12.2%
공동주택용지 2
 
4.9%
종교용지 1
 
2.4%
방송통신시설용지 1
 
2.4%
기타교육시설용지 1
 
2.4%

필지번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T15:38:53.215086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.2195122
Min length3

Characters and Unicode

Total characters214
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st rowD-3
2nd rowD-5
3rd rowA-35-1
4th rowA-35-2
5th rowA-35-3
ValueCountFrequency (%)
d-3 1
 
2.4%
a-49-2 1
 
2.4%
a-49-4 1
 
2.4%
a-50-1 1
 
2.4%
a-50-2 1
 
2.4%
b-2 1
 
2.4%
b-3 1
 
2.4%
b-4 1
 
2.4%
b-5 1
 
2.4%
b-6 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T15:38:53.613269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
33.6%
A 24
 
11.2%
3 21
 
9.8%
1 20
 
9.3%
4 15
 
7.0%
8 12
 
5.6%
5 11
 
5.1%
2 9
 
4.2%
E 7
 
3.3%
9 5
 
2.3%
Other values (8) 18
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
47.2%
Dash Punctuation 72
33.6%
Uppercase Letter 41
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 21
20.8%
1 20
19.8%
4 15
14.9%
8 12
11.9%
5 11
10.9%
2 9
8.9%
9 5
 
5.0%
6 3
 
3.0%
0 3
 
3.0%
7 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
58.5%
E 7
 
17.1%
B 5
 
12.2%
D 2
 
4.9%
N 1
 
2.4%
S 1
 
2.4%
I 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 173
80.8%
Latin 41
 
19.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
41.6%
3 21
 
12.1%
1 20
 
11.6%
4 15
 
8.7%
8 12
 
6.9%
5 11
 
6.4%
2 9
 
5.2%
9 5
 
2.9%
6 3
 
1.7%
0 3
 
1.7%
Latin
ValueCountFrequency (%)
A 24
58.5%
E 7
 
17.1%
B 5
 
12.2%
D 2
 
4.9%
N 1
 
2.4%
S 1
 
2.4%
I 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
33.6%
A 24
 
11.2%
3 21
 
9.8%
1 20
 
9.3%
4 15
 
7.0%
8 12
 
5.6%
5 11
 
5.1%
2 9
 
4.2%
E 7
 
3.3%
9 5
 
2.3%
Other values (8) 18
 
8.4%

면적(㎡)
Text

Distinct36
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T15:38:53.780279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length5.1463415
Min length3

Characters and Unicode

Total characters211
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

Unique32 ?
Unique (%)78.0%

Sample

1st row37,093.50
2nd row63,864.00
3rd row286
4th row277
5th row276
ValueCountFrequency (%)
1,232.20 3
 
7.3%
276 2
 
4.9%
291 2
 
4.9%
286 2
 
4.9%
37,093.50 1
 
2.4%
389 1
 
2.4%
7,841.00 1
 
2.4%
9,098.00 1
 
2.4%
5,735.00 1
 
2.4%
413 1
 
2.4%
Other values (26) 26
63.4%
2023-12-12T15:38:54.072375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 35
16.6%
0 30
14.2%
4 20
9.5%
, 17
8.1%
. 17
8.1%
8 17
8.1%
1 16
7.6%
6 15
7.1%
3 13
 
6.2%
9 11
 
5.2%
Other values (2) 20
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177
83.9%
Other Punctuation 34
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 35
19.8%
0 30
16.9%
4 20
11.3%
8 17
9.6%
1 16
9.0%
6 15
8.5%
3 13
 
7.3%
9 11
 
6.2%
7 11
 
6.2%
5 9
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 17
50.0%
. 17
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 35
16.6%
0 30
14.2%
4 20
9.5%
, 17
8.1%
. 17
8.1%
8 17
8.1%
1 16
7.6%
6 15
7.1%
3 13
 
6.2%
9 11
 
5.2%
Other values (2) 20
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 35
16.6%
0 30
14.2%
4 20
9.5%
, 17
8.1%
. 17
8.1%
8 17
8.1%
1 16
7.6%
6 15
7.1%
3 13
 
6.2%
9 11
 
5.2%
Other values (2) 20
9.5%

용도지역
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
계획관리지역
41 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계획관리지역 41
100.0%

Length

2023-12-12T15:38:54.182372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:54.281582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계획관리지역 41
100.0%

건폐율
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
40%이하
31 
60%이하
10 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40%이하
2nd row40%이하
3rd row40%이하
4th row40%이하
5th row40%이하

Common Values

ValueCountFrequency (%)
40%이하 31
75.6%
60%이하 10
 
24.4%

Length

2023-12-12T15:38:54.376601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:54.461682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40%이하 31
75.6%
60%이하 10
 
24.4%

용적률
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
80%이하
29 
160%이하
10 
110%이하
 
2

Length

Max length6
Median length5
Mean length5.2926829
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row110%이하
2nd row110%이하
3rd row80%이하
4th row80%이하
5th row80%이하

Common Values

ValueCountFrequency (%)
80%이하 29
70.7%
160%이하 10
 
24.4%
110%이하 2
 
4.9%

Length

2023-12-12T15:38:54.554246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:54.640418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
80%이하 29
70.7%
160%이하 10
 
24.4%
110%이하 2
 
4.9%

높이
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
8m(2층)이하
28 
15m(4층)이하
12 
-(4층)이하
 
1

Length

Max length9
Median length8
Mean length8.2682927
Min length7

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row15m(4층)이하
2nd row15m(4층)이하
3rd row15m(4층)이하
4th row8m(2층)이하
5th row8m(2층)이하

Common Values

ValueCountFrequency (%)
8m(2층)이하 28
68.3%
15m(4층)이하 12
29.3%
-(4층)이하 1
 
2.4%

Length

2023-12-12T15:38:54.784077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:54.922469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8m(2층)이하 28
68.3%
15m(4층)이하 12
29.3%
4층)이하 1
 
2.4%

공급단가(원/㎡)
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
289,000
6 
304,000
5 
301,000
4 
490,000
4 
294,000
3 
Other values (14)
19 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique10 ?
Unique (%)24.4%

Sample

1st row354,000
2nd row324,000
3rd row295,000
4th row289,000
5th row289,000

Common Values

ValueCountFrequency (%)
289,000 6
14.6%
304,000 5
12.2%
301,000 4
9.8%
490,000 4
9.8%
294,000 3
 
7.3%
292,000 3
 
7.3%
295,000 2
 
4.9%
286,000 2
 
4.9%
545,000 2
 
4.9%
283,000 1
 
2.4%
Other values (9) 9
22.0%

Length

2023-12-12T15:38:55.031253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
289,000 6
14.6%
304,000 5
12.2%
301,000 4
9.8%
490,000 4
9.8%
294,000 3
 
7.3%
292,000 3
 
7.3%
295,000 2
 
4.9%
286,000 2
 
4.9%
545,000 2
 
4.9%
300,000 1
 
2.4%
Other values (9) 9
22.0%

예정가격(원)
Text

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T15:38:55.217321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.243902
Min length10

Characters and Unicode

Total characters461
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

Unique36 ?
Unique (%)87.8%

Sample

1st row13,131,099,000
2nd row20,691,936,000
3rd row84,370,000
4th row80,053,000
5th row79,764,000
ValueCountFrequency (%)
603,778,000 3
 
7.3%
79,764,000 2
 
4.9%
1,686,090,000 1
 
2.4%
711,322,600 1
 
2.4%
1,932,756,000 1
 
2.4%
134,064,000 1
 
2.4%
117,691,000 1
 
2.4%
118,256,000 1
 
2.4%
2,219,003,000 1
 
2.4%
2,729,400,000 1
 
2.4%
Other values (28) 28
68.3%
2023-12-12T15:38:55.617191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
31.7%
, 93
20.2%
1 40
 
8.7%
2 28
 
6.1%
3 27
 
5.9%
7 26
 
5.6%
8 26
 
5.6%
6 24
 
5.2%
9 22
 
4.8%
4 17
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
79.8%
Other Punctuation 93
 
20.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
39.7%
1 40
 
10.9%
2 28
 
7.6%
3 27
 
7.3%
7 26
 
7.1%
8 26
 
7.1%
6 24
 
6.5%
9 22
 
6.0%
4 17
 
4.6%
5 12
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 461
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
31.7%
, 93
20.2%
1 40
 
8.7%
2 28
 
6.1%
3 27
 
5.9%
7 26
 
5.6%
8 26
 
5.6%
6 24
 
5.2%
9 22
 
4.8%
4 17
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
31.7%
, 93
20.2%
1 40
 
8.7%
2 28
 
6.1%
3 27
 
5.9%
7 26
 
5.6%
8 26
 
5.6%
6 24
 
5.2%
9 22
 
4.8%
4 17
 
3.7%

공급방법
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
경쟁입찰
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경쟁입찰 41
100.0%

Length

2023-12-12T15:38:55.761902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:38:55.880998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경쟁입찰 41
100.0%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing40
Missing (%)97.6%
Memory size460.0 B
2023-12-12T15:38:56.014955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row임대주택건설용지
ValueCountFrequency (%)
임대주택건설용지 1
100.0%
2023-12-12T15:38:56.293715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 1
12.5%
대 1
12.5%
주 1
12.5%
택 1
12.5%
건 1
12.5%
설 1
12.5%
용 1
12.5%
지 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 1
12.5%
대 1
12.5%
주 1
12.5%
택 1
12.5%
건 1
12.5%
설 1
12.5%
용 1
12.5%
지 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 1
12.5%
대 1
12.5%
주 1
12.5%
택 1
12.5%
건 1
12.5%
설 1
12.5%
용 1
12.5%
지 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 1
12.5%
대 1
12.5%
주 1
12.5%
택 1
12.5%
건 1
12.5%
설 1
12.5%
용 1
12.5%
지 1
12.5%

Interactions

2023-12-12T15:38:51.928087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:38:56.397525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번토지용도필지번호면적(㎡)건폐율용적률높이공급단가(원/㎡)예정가격(원)
연번1.0000.7361.0000.9580.9850.8350.7150.8310.971
토지용도0.7361.0001.0001.0001.0001.0000.9451.0001.000
필지번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
면적(㎡)0.9581.0001.0001.0001.0001.0000.9890.9861.000
건폐율0.9851.0001.0001.0001.0001.0000.5601.0001.000
용적률0.8351.0001.0001.0001.0001.0000.9191.0001.000
높이0.7150.9451.0000.9890.5600.9191.0000.9851.000
공급단가(원/㎡)0.8311.0001.0000.9861.0001.0000.9851.0001.000
예정가격(원)0.9711.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T15:38:56.557067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용적률공급단가(원/㎡)토지용도건폐율높이
용적률1.0000.7610.9460.9870.653
공급단가(원/㎡)0.7611.0000.8040.7510.740
토지용도0.9460.8041.0000.9340.914
건폐율0.9870.7510.9341.0000.818
높이0.6530.7400.9140.8181.000
2023-12-12T15:38:56.692770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번토지용도건폐율용적률높이공급단가(원/㎡)
연번1.0000.4680.8120.6380.5000.426
토지용도0.4681.0000.9340.9460.9140.804
건폐율0.8120.9341.0000.9870.8180.751
용적률0.6380.9460.9871.0000.6530.761
높이0.5000.9140.8180.6531.0000.740
공급단가(원/㎡)0.4260.8040.7510.7610.7401.000

Missing values

2023-12-12T15:38:52.092900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:38:52.282339image/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

연번토지용도필지번호면적(㎡)용도지역건폐율용적률높이공급단가(원/㎡)예정가격(원)공급방법비고
01공동주택용지D-337,093.50계획관리지역40%이하110%이하15m(4층)이하354,00013,131,099,000경쟁입찰<NA>
12공동주택용지D-563,864.00계획관리지역40%이하110%이하15m(4층)이하324,00020,691,936,000경쟁입찰임대주택건설용지
23단독주택용지(필지형)A-35-1286계획관리지역40%이하80%이하15m(4층)이하295,00084,370,000경쟁입찰<NA>
34단독주택용지(필지형)A-35-2277계획관리지역40%이하80%이하8m(2층)이하289,00080,053,000경쟁입찰<NA>
45단독주택용지(필지형)A-35-3276계획관리지역40%이하80%이하8m(2층)이하289,00079,764,000경쟁입찰<NA>
56단독주택용지(필지형)A-35-4276계획관리지역40%이하80%이하8m(2층)이하289,00079,764,000경쟁입찰<NA>
67단독주택용지(필지형)A-35-5278계획관리지역40%이하80%이하8m(2층)이하292,00081,176,000경쟁입찰<NA>
78단독주택용지(필지형)A-36-4262계획관리지역40%이하80%이하8m(2층)이하292,00076,504,000경쟁입찰<NA>
89단독주택용지(필지형)A-37-2265계획관리지역40%이하80%이하8m(2층)이하298,00078,970,000경쟁입찰<NA>
910단독주택용지(필지형)A-38-1282계획관리지역40%이하80%이하8m(2층)이하292,00082,344,000경쟁입찰<NA>
연번토지용도필지번호면적(㎡)용도지역건폐율용적률높이공급단가(원/㎡)예정가격(원)공급방법비고
3132상업시설용지E-1-81,232.20계획관리지역60%이하160%이하15m(4층)이하490,000603,778,000경쟁입찰<NA>
3233상업시설용지E-1-91,232.20계획관리지역60%이하160%이하15m(4층)이하490,000603,778,000경쟁입찰<NA>
3334상업시설용지E-1-102,464.70계획관리지역60%이하160%이하15m(4층)이하545,0001,343,261,500경쟁입찰<NA>
3435상업시설용지E-1-112,465.00계획관리지역60%이하160%이하15m(4층)이하545,0001,343,425,000경쟁입찰<NA>
3536상업시설용지E-1-121,232.20계획관리지역60%이하160%이하15m(4층)이하490,000603,778,000경쟁입찰<NA>
3637상업시설용지E-1-131,232.50계획관리지역60%이하160%이하15m(4층)이하490,000603,925,000경쟁입찰<NA>
3738상업시설용지E-1-144,928.90계획관리지역60%이하160%이하15m(4층)이하550,0002,710,895,000경쟁입찰<NA>
3839종교용지N-22,682.00계획관리지역60%이하160%이하15m(4층)이하366,000981,612,000경쟁입찰<NA>
3940방송통신시설용지S-11,981.40계획관리지역60%이하160%이하15m(4층)이하359,000711,322,600경쟁입찰<NA>
4041기타교육시설용지I-112,818.40계획관리지역60%이하160%이하-(4층)이하412,0005,281,180,800경쟁입찰<NA>