Overview

Dataset statistics

Number of variables17
Number of observations663
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.8 KiB
Average record size in memory140.2 B

Variable types

Categorical16
Numeric1

Dataset

Description임대주택 공급현황을 지역별, 임대주택 종류별(영구임대주택, 국민임대주택 등)로 나타낸 데이터
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3106

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
단위명 has constant value ""Constant
단위영문명 has constant value ""Constant
분류명2 has constant value ""Constant
수록시점 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
수집날짜 has constant value ""Constant
항목 ID is highly overall correlated with 분류값 명2 and 2 other fieldsHigh correlation
분류값 ID2 is highly overall correlated with 분류값 명2 and 2 other fieldsHigh correlation
분류값 명2 is highly overall correlated with 항목명 and 2 other fieldsHigh correlation
분류값 ID1 is highly overall correlated with 분류값 명1High correlation
항목명 is highly overall correlated with 분류값 명2 and 2 other fieldsHigh correlation
분류값 명1 is highly overall correlated with 분류값 ID1High correlation
수치값 has 437 (65.9%) zerosZeros

Reproduction

Analysis started2024-01-09 22:32:29.373315
Analysis finished2024-01-09 22:32:30.269113
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
DT_MLTM_6826
663 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_MLTM_6826
2nd rowDT_MLTM_6826
3rd rowDT_MLTM_6826
4th rowDT_MLTM_6826
5th rowDT_MLTM_6826

Common Values

ValueCountFrequency (%)
DT_MLTM_6826 663
100.0%

Length

2024-01-10T07:32:30.320569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:30.400577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_mltm_6826 663
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
116
663 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row116
2nd row116
3rd row116
4th row116
5th row116

Common Values

ValueCountFrequency (%)
116 663
100.0%

Length

2024-01-10T07:32:30.497324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:30.578946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
116 663
100.0%

분류값 명2
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
분양전환공공임대주택(건설 분납임대 10년)
51 
분양전환공공임대주택(건설 5년임대)
51 
분양전환공공임대주택(건설 10년)
51 
영구임대주택(건설)
 
34
국민임대주택(건설)
 
34
Other values (13)
442 

Length

Max length23
Median length19
Mean length15.897436
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영구임대주택(건설)
2nd row영구임대주택(건설)
3rd row영구임대주택(매입)
4th row영구임대주택(매입)
5th row국민임대주택(건설)

Common Values

ValueCountFrequency (%)
분양전환공공임대주택(건설 분납임대 10년) 51
 
7.7%
분양전환공공임대주택(건설 5년임대) 51
 
7.7%
분양전환공공임대주택(건설 10년) 51
 
7.7%
영구임대주택(건설) 34
 
5.1%
국민임대주택(건설) 34
 
5.1%
국민임대주택(매입) 34
 
5.1%
행복주택(건설) 34
 
5.1%
통합공공임대주택(건설) 34
 
5.1%
장기전세주택(건설) 34
 
5.1%
영구임대주택(매입) 34
 
5.1%
Other values (8) 272
41.0%

Length

2024-01-10T07:32:30.673749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
분양전환공공임대주택(건설 153
17.0%
10년 102
 
11.3%
5년임대 51
 
5.7%
분납임대 51
 
5.7%
민간임대주택(단기민간임대주택_건설 34
 
3.8%
매입임대(매입 34
 
3.8%
기존주택등 34
 
3.8%
민간임대주택(공공지원민간임대주택_건설 34
 
3.8%
민간임대주택(장기일반민간임대주택_매입 34
 
3.8%
민간임대주택(장기일반민간임대주택_건설 34
 
3.8%
Other values (10) 340
37.7%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
A
663 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 663
100.0%

Length

2024-01-10T07:32:30.782680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:30.866793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 663
100.0%

항목명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
LH
204 
지자체 지방공사
204 
개인
102 
법인
102 
민 간
51 

Length

Max length8
Median length2
Mean length3.9230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLH
2nd row지자체 지방공사
3rd rowLH
4th row지자체 지방공사
5th rowLH

Common Values

ValueCountFrequency (%)
LH 204
30.8%
지자체 지방공사 204
30.8%
개인 102
15.4%
법인 102
15.4%
민 간 51
 
7.7%

Length

2024-01-10T07:32:30.951369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:31.055269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lh 204
22.2%
지자체 204
22.2%
지방공사 204
22.2%
개인 102
11.1%
법인 102
11.1%
민 51
 
5.6%
간 51
 
5.6%

항목 ID
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
13103134360T1
204 
13103134360T2
204 
13103134360T4
102 
13103134360T5
102 
13103134360T3
51 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13103134360T1
2nd row13103134360T2
3rd row13103134360T1
4th row13103134360T2
5th row13103134360T1

Common Values

ValueCountFrequency (%)
13103134360T1 204
30.8%
13103134360T2 204
30.8%
13103134360T4 102
15.4%
13103134360T5 102
15.4%
13103134360T3 51
 
7.7%

Length

2024-01-10T07:32:31.158425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:31.252994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13103134360t1 204
30.8%
13103134360t2 204
30.8%
13103134360t4 102
15.4%
13103134360t5 102
15.4%
13103134360t3 51
 
7.7%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
호
663 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
호 663
100.0%

Length

2024-01-10T07:32:31.366825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:31.448789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호 663
100.0%

분류값 ID1
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
13102134360A.0001
 
39
13102134360A.0002
 
39
13102134360A.0003
 
39
13102134360A.0004
 
39
13102134360A.0005
 
39
Other values (12)
468 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13102134360A.0001
2nd row13102134360A.0001
3rd row13102134360A.0001
4th row13102134360A.0001
5th row13102134360A.0001

Common Values

ValueCountFrequency (%)
13102134360A.0001 39
 
5.9%
13102134360A.0002 39
 
5.9%
13102134360A.0003 39
 
5.9%
13102134360A.0004 39
 
5.9%
13102134360A.0005 39
 
5.9%
13102134360A.0006 39
 
5.9%
13102134360A.0007 39
 
5.9%
13102134360A.0008 39
 
5.9%
13102134360A.0009 39
 
5.9%
13102134360A.0010 39
 
5.9%
Other values (7) 273
41.2%

Length

2024-01-10T07:32:31.536836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13102134360a.0001 39
 
5.9%
13102134360a.0010 39
 
5.9%
13102134360a.0016 39
 
5.9%
13102134360a.0015 39
 
5.9%
13102134360a.0014 39
 
5.9%
13102134360a.0013 39
 
5.9%
13102134360a.0012 39
 
5.9%
13102134360a.0011 39
 
5.9%
13102134360a.0009 39
 
5.9%
13102134360a.0002 39
 
5.9%
Other values (7) 273
41.2%

분류값 ID2
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
13102134360B.0010
51 
13102134360B.0009
51 
13102134360B.0008
51 
13102134360B.0001
 
34
13102134360B.0003
 
34
Other values (13)
442 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13102134360B.0001
2nd row13102134360B.0001
3rd row13102134360B.0002
4th row13102134360B.0002
5th row13102134360B.0003

Common Values

ValueCountFrequency (%)
13102134360B.0010 51
 
7.7%
13102134360B.0009 51
 
7.7%
13102134360B.0008 51
 
7.7%
13102134360B.0001 34
 
5.1%
13102134360B.0003 34
 
5.1%
13102134360B.0004 34
 
5.1%
13102134360B.0005 34
 
5.1%
13102134360B.0006 34
 
5.1%
13102134360B.0007 34
 
5.1%
13102134360B.0002 34
 
5.1%
Other values (8) 272
41.0%

Length

2024-01-10T07:32:31.636676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13102134360b.0010 51
 
7.7%
13102134360b.0008 51
 
7.7%
13102134360b.0009 51
 
7.7%
13102134360b.0012 34
 
5.1%
13102134360b.0011 34
 
5.1%
13102134360b.0017 34
 
5.1%
13102134360b.0016 34
 
5.1%
13102134360b.0015 34
 
5.1%
13102134360b.0014 34
 
5.1%
13102134360b.0013 34
 
5.1%
Other values (8) 272
41.0%

단위영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Apartment Unit
663 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowApartment Unit
2nd rowApartment Unit
3rd rowApartment Unit
4th rowApartment Unit
5th rowApartment Unit

Common Values

ValueCountFrequency (%)
Apartment Unit 663
100.0%

Length

2024-01-10T07:32:31.729879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:31.809534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
apartment 663
50.0%
unit 663
50.0%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
레벨01
663 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row레벨01
2nd row레벨01
3rd row레벨01
4th row레벨01
5th row레벨01

Common Values

ValueCountFrequency (%)
레벨01 663
100.0%

Length

2024-01-10T07:32:31.892896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:31.978861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
레벨01 663
100.0%

수치값
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.99548
Minimum0
Maximum41200
Zeros437
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-01-10T07:32:32.078481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342
95-th percentile1898.7
Maximum41200
Range41200
Interquartile range (IQR)42

Descriptive statistics

Standard deviation2201.33
Coefficient of variation (CV)4.8381361
Kurtosis191.84793
Mean454.99548
Median Absolute Deviation (MAD)0
Skewness11.997976
Sum301662
Variance4845854
MonotonicityNot monotonic
2024-01-10T07:32:32.198345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437
65.9%
1 13
 
2.0%
2 10
 
1.5%
38 3
 
0.5%
8 3
 
0.5%
10 3
 
0.5%
3 3
 
0.5%
90 2
 
0.3%
42 2
 
0.3%
64 2
 
0.3%
Other values (175) 185
27.9%
ValueCountFrequency (%)
0 437
65.9%
1 13
 
2.0%
2 10
 
1.5%
3 3
 
0.5%
5 1
 
0.2%
6 1
 
0.2%
8 3
 
0.5%
10 3
 
0.5%
11 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
41200 1
0.2%
19591 1
0.2%
16347 1
0.2%
10730 1
0.2%
9804 1
0.2%
9579 1
0.2%
9407 1
0.2%
8880 1
0.2%
8075 1
0.2%
7551 1
0.2%

분류값 명1
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
서울특별시
 
39
부산광역시
 
39
대구광역시
 
39
인천광역시
 
39
광주광역시
 
39
Other values (12)
468 

Length

Max length7
Median length5
Mean length4.6470588
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 39
 
5.9%
부산광역시 39
 
5.9%
대구광역시 39
 
5.9%
인천광역시 39
 
5.9%
광주광역시 39
 
5.9%
대전광역시 39
 
5.9%
울산광역시 39
 
5.9%
세종특별자치시 39
 
5.9%
경기도 39
 
5.9%
강원도 39
 
5.9%
Other values (7) 273
41.2%

Length

2024-01-10T07:32:32.325568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 39
 
5.9%
강원도 39
 
5.9%
경상남도 39
 
5.9%
경상북도 39
 
5.9%
전라남도 39
 
5.9%
전라북도 39
 
5.9%
충청남도 39
 
5.9%
충청북도 39
 
5.9%
경기도 39
 
5.9%
부산광역시 39
 
5.9%
Other values (7) 273
41.2%

수록시점
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2021
663 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 663
100.0%

Length

2024-01-10T07:32:32.440199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:32.519922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 663
100.0%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
임대주택 공급현황
663 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row임대주택 공급현황
2nd row임대주택 공급현황
3rd row임대주택 공급현황
4th row임대주택 공급현황
5th row임대주택 공급현황

Common Values

ValueCountFrequency (%)
임대주택 공급현황 663
100.0%

Length

2024-01-10T07:32:32.626720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:32.712261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대주택 663
50.0%
공급현황 663
50.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
구 분
663 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구 분
2nd row구 분
3rd row구 분
4th row구 분
5th row구 분

Common Values

ValueCountFrequency (%)
구 분 663
100.0%

Length

2024-01-10T07:32:32.793418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:32.888606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구 663
50.0%
분 663
50.0%

수집날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
20231109
663 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231109
2nd row20231109
3rd row20231109
4th row20231109
5th row20231109

Common Values

ValueCountFrequency (%)
20231109 663
100.0%

Length

2024-01-10T07:32:32.975194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:33.066773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231109 663
100.0%

Interactions

2024-01-10T07:32:29.883590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:32:33.131662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 명2항목명항목 ID분류값 ID1분류값 ID2수치값분류값 명1
분류값 명21.0000.7800.7800.0001.0000.3260.000
항목명0.7801.0001.0000.0000.7800.1200.000
항목 ID0.7801.0001.0000.0000.7800.1200.000
분류값 ID10.0000.0000.0001.0000.0000.1961.000
분류값 ID21.0000.7800.7800.0001.0000.3260.000
수치값0.3260.1200.1200.1960.3261.0000.196
분류값 명10.0000.0000.0001.0000.0000.1961.000
2024-01-10T07:32:33.232064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목 ID분류값 ID2분류값 명2분류값 ID1항목명분류값 명1
항목 ID1.0000.5370.5370.0001.0000.000
분류값 ID20.5371.0001.0000.0000.5370.000
분류값 명20.5371.0001.0000.0000.5370.000
분류값 ID10.0000.0000.0001.0000.0001.000
항목명1.0000.5370.5370.0001.0000.000
분류값 명10.0000.0000.0001.0000.0001.000
2024-01-10T07:32:33.325092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수치값분류값 명2항목명항목 ID분류값 ID1분류값 ID2분류값 명1
수치값1.0000.1340.0810.0810.0920.1340.092
분류값 명20.1341.0000.5370.5370.0001.0000.000
항목명0.0810.5371.0001.0000.0000.5370.000
항목 ID0.0810.5371.0001.0000.0000.5370.000
분류값 ID10.0920.0000.0000.0001.0000.0001.000
분류값 ID20.1341.0000.5370.5370.0001.0000.000
분류값 명10.0920.0000.0000.0001.0000.0001.000

Missing values

2024-01-10T07:32:30.015573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:32:30.202606image/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

통계표ID기관코드분류값 명2수록주기항목명항목 ID단위명분류값 ID1분류값 ID2단위영문명분류명2수치값분류값 명1수록시점통계표명분류명1수집날짜
0DT_MLTM_6826116영구임대주택(건설)ALH13103134360T1호13102134360A.000113102134360B.0001Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
1DT_MLTM_6826116영구임대주택(건설)A지자체 지방공사13103134360T2호13102134360A.000113102134360B.0001Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
2DT_MLTM_6826116영구임대주택(매입)ALH13103134360T1호13102134360A.000113102134360B.0002Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
3DT_MLTM_6826116영구임대주택(매입)A지자체 지방공사13103134360T2호13102134360A.000113102134360B.0002Apartment Unit레벨011633서울특별시2021임대주택 공급현황구 분20231109
4DT_MLTM_6826116국민임대주택(건설)ALH13103134360T1호13102134360A.000113102134360B.0003Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
5DT_MLTM_6826116국민임대주택(건설)A지자체 지방공사13103134360T2호13102134360A.000113102134360B.0003Apartment Unit레벨01724서울특별시2021임대주택 공급현황구 분20231109
6DT_MLTM_6826116국민임대주택(매입)ALH13103134360T1호13102134360A.000113102134360B.0004Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
7DT_MLTM_6826116국민임대주택(매입)A지자체 지방공사13103134360T2호13102134360A.000113102134360B.0004Apartment Unit레벨010서울특별시2021임대주택 공급현황구 분20231109
8DT_MLTM_6826116행복주택(건설)ALH13103134360T1호13102134360A.000113102134360B.0005Apartment Unit레벨0160서울특별시2021임대주택 공급현황구 분20231109
9DT_MLTM_6826116행복주택(건설)A지자체 지방공사13103134360T2호13102134360A.000113102134360B.0005Apartment Unit레벨012539서울특별시2021임대주택 공급현황구 분20231109
통계표ID기관코드분류값 명2수록주기항목명항목 ID단위명분류값 ID1분류값 ID2단위영문명분류명2수치값분류값 명1수록시점통계표명분류명1수집날짜
653DT_MLTM_6826116민간임대주택(단기민간임대주택_매입)A개인13103134360T4호13102134360A.001713102134360B.0014Apartment Unit레벨012제주특별자치도2021임대주택 공급현황구 분20231109
654DT_MLTM_6826116민간임대주택(단기민간임대주택_매입)A법인13103134360T5호13102134360A.001713102134360B.0014Apartment Unit레벨010제주특별자치도2021임대주택 공급현황구 분20231109
655DT_MLTM_6826116민간임대주택(장기일반민간임대주택_건설)A개인13103134360T4호13102134360A.001713102134360B.0015Apartment Unit레벨01588제주특별자치도2021임대주택 공급현황구 분20231109
656DT_MLTM_6826116민간임대주택(장기일반민간임대주택_건설)A법인13103134360T5호13102134360A.001713102134360B.0015Apartment Unit레벨01425제주특별자치도2021임대주택 공급현황구 분20231109
657DT_MLTM_6826116민간임대주택(장기일반민간임대주택_매입)A개인13103134360T4호13102134360A.001713102134360B.0016Apartment Unit레벨01728제주특별자치도2021임대주택 공급현황구 분20231109
658DT_MLTM_6826116민간임대주택(장기일반민간임대주택_매입)A법인13103134360T5호13102134360A.001713102134360B.0016Apartment Unit레벨01277제주특별자치도2021임대주택 공급현황구 분20231109
659DT_MLTM_6826116민간임대주택(공공지원민간임대주택_건설)A개인13103134360T4호13102134360A.001713102134360B.0017Apartment Unit레벨010제주특별자치도2021임대주택 공급현황구 분20231109
660DT_MLTM_6826116민간임대주택(공공지원민간임대주택_건설)A법인13103134360T5호13102134360A.001713102134360B.0017Apartment Unit레벨010제주특별자치도2021임대주택 공급현황구 분20231109
661DT_MLTM_6826116민간임대주택(공공지원민간임대주택_매입)A개인13103134360T4호13102134360A.001713102134360B.0018Apartment Unit레벨012제주특별자치도2021임대주택 공급현황구 분20231109
662DT_MLTM_6826116민간임대주택(공공지원민간임대주택_매입)A법인13103134360T5호13102134360A.001713102134360B.0018Apartment Unit레벨010제주특별자치도2021임대주택 공급현황구 분20231109