Overview

Dataset statistics

Number of variables8
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory67.9 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description충청북도 음성군 노인복지시설(마을회관)의 읍면, 마을명, 회관명, 도로명주소, 건축연도, 면적 현황 등을 제공하는 데이터입니다.
Author충청북도 음성군
URLhttps://www.data.go.kr/data/15045229/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
순번 is highly overall correlated with 읍면동명High correlation
읍면동명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:32:35.672304
Analysis finished2023-12-12 13:32:37.223095
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73
Minimum1
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:37.310713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.2
Q137
median73
Q3109
95-th percentile137.8
Maximum145
Range144
Interquartile range (IQR)72

Descriptive statistics

Standard deviation42.001984
Coefficient of variation (CV)0.57536964
Kurtosis-1.2
Mean73
Median Absolute Deviation (MAD)36
Skewness0
Sum10585
Variance1764.1667
MonotonicityStrictly increasing
2023-12-12T22:32:37.464941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
110 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
Other values (135) 135
93.1%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%

읍면동명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
금왕읍
24 
음성읍
22 
대소면
20 
감곡면
19 
삼성면
15 
Other values (4)
45 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금왕읍 24
16.6%
음성읍 22
15.2%
대소면 20
13.8%
감곡면 19
13.1%
삼성면 15
10.3%
원남면 13
9.0%
소이면 12
8.3%
맹동면 10
6.9%
생극면 10
6.9%

Length

2023-12-12T22:32:37.603081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:37.721945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금왕읍 24
16.6%
음성읍 22
15.2%
대소면 20
13.8%
감곡면 19
13.1%
삼성면 15
10.3%
원남면 13
9.0%
소이면 12
8.3%
맹동면 10
6.9%
생극면 10
6.9%

마을명
Text

Distinct141
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:32:38.071947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1862069
Min length2

Characters and Unicode

Total characters462
Distinct characters104
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)94.5%

Sample

1st row감우
2nd row사정2(벌터)
3rd row삼생3
4th row소여2
5th row신천1(냇말)
ValueCountFrequency (%)
월정리 2
 
1.4%
상평2 2
 
1.4%
유촌 2
 
1.4%
충도4 2
 
1.4%
오산1 1
 
0.7%
성본2 1
 
0.7%
대정2 1
 
0.7%
대정1 1
 
0.7%
대야리 1
 
0.7%
대사리 1
 
0.7%
Other values (131) 131
90.3%
2023-12-12T22:32:38.593147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 52
 
11.3%
2 39
 
8.4%
3 18
 
3.9%
정 16
 
3.5%
평 14
 
3.0%
산 12
 
2.6%
4 11
 
2.4%
용 10
 
2.2%
대 10
 
2.2%
오 10
 
2.2%
Other values (94) 270
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
67.3%
Decimal Number 130
28.1%
Close Punctuation 8
 
1.7%
Open Punctuation 8
 
1.7%
Space Separator 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 16
 
5.1%
평 14
 
4.5%
산 12
 
3.9%
용 10
 
3.2%
대 10
 
3.2%
오 10
 
3.2%
곡 9
 
2.9%
천 9
 
2.9%
촌 8
 
2.6%
내 8
 
2.6%
Other values (84) 205
65.9%
Decimal Number
ValueCountFrequency (%)
1 52
40.0%
2 39
30.0%
3 18
 
13.8%
4 11
 
8.5%
5 5
 
3.8%
6 4
 
3.1%
0 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
67.3%
Common 151
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 16
 
5.1%
평 14
 
4.5%
산 12
 
3.9%
용 10
 
3.2%
대 10
 
3.2%
오 10
 
3.2%
곡 9
 
2.9%
천 9
 
2.9%
촌 8
 
2.6%
내 8
 
2.6%
Other values (84) 205
65.9%
Common
ValueCountFrequency (%)
1 52
34.4%
2 39
25.8%
3 18
 
11.9%
4 11
 
7.3%
) 8
 
5.3%
( 8
 
5.3%
5
 
3.3%
5 5
 
3.3%
6 4
 
2.6%
0 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
67.3%
ASCII 151
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 52
34.4%
2 39
25.8%
3 18
 
11.9%
4 11
 
7.3%
) 8
 
5.3%
( 8
 
5.3%
5
 
3.3%
5 5
 
3.3%
6 4
 
2.6%
0 1
 
0.7%
Hangul
ValueCountFrequency (%)
정 16
 
5.1%
평 14
 
4.5%
산 12
 
3.9%
용 10
 
3.2%
대 10
 
3.2%
오 10
 
3.2%
곡 9
 
2.9%
천 9
 
2.9%
촌 8
 
2.6%
내 8
 
2.6%
Other values (84) 205
65.9%

회관명
Text

Distinct138
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:32:38.883077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.5931034
Min length5

Characters and Unicode

Total characters1101
Distinct characters120
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

Unique131 ?
Unique (%)90.3%

Sample

1st row감우 마을회
2nd row사정2리 마을회
3rd row삼생3리 마을회
4th row소여2리 마을회
5th row신천1냇말마을회
ValueCountFrequency (%)
마을회 80
34.6%
초천1리 2
 
0.9%
충도4리마을회 2
 
0.9%
삼호2리 2
 
0.9%
상평2리마을회 2
 
0.9%
유촌리 2
 
0.9%
월정리마을회 2
 
0.9%
도청1리 2
 
0.9%
오산1리마을회 1
 
0.4%
각골마을회 1
 
0.4%
Other values (135) 135
58.4%
2023-12-12T22:32:39.302060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 144
13.1%
마 140
12.7%
을 137
12.4%
리 129
 
11.7%
86
 
7.8%
1 44
 
4.0%
2 42
 
3.8%
정 17
 
1.5%
대 15
 
1.4%
3 15
 
1.4%
Other values (110) 332
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
81.3%
Decimal Number 120
 
10.9%
Space Separator 86
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 144
16.1%
마 140
15.6%
을 137
15.3%
리 129
14.4%
정 17
 
1.9%
대 15
 
1.7%
평 14
 
1.6%
산 13
 
1.5%
천 11
 
1.2%
오 11
 
1.2%
Other values (102) 264
29.5%
Decimal Number
ValueCountFrequency (%)
1 44
36.7%
2 42
35.0%
3 15
 
12.5%
4 11
 
9.2%
5 5
 
4.2%
6 2
 
1.7%
0 1
 
0.8%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
81.3%
Common 206
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 144
16.1%
마 140
15.6%
을 137
15.3%
리 129
14.4%
정 17
 
1.9%
대 15
 
1.7%
평 14
 
1.6%
산 13
 
1.5%
천 11
 
1.2%
오 11
 
1.2%
Other values (102) 264
29.5%
Common
ValueCountFrequency (%)
86
41.7%
1 44
21.4%
2 42
20.4%
3 15
 
7.3%
4 11
 
5.3%
5 5
 
2.4%
6 2
 
1.0%
0 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
81.3%
ASCII 206
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 144
16.1%
마 140
15.6%
을 137
15.3%
리 129
14.4%
정 17
 
1.9%
대 15
 
1.7%
평 14
 
1.6%
산 13
 
1.5%
천 11
 
1.2%
오 11
 
1.2%
Other values (102) 264
29.5%
ASCII
ValueCountFrequency (%)
86
41.7%
1 44
21.4%
2 42
20.4%
3 15
 
7.3%
4 11
 
5.3%
5 5
 
2.4%
6 2
 
1.0%
0 1
 
0.5%

도로명주소
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:32:39.590467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length22.303448
Min length15

Characters and Unicode

Total characters3234
Distinct characters125
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

Unique145 ?
Unique (%)100.0%

Sample

1st row충청북도 음성군 음성읍 음성로 621
2nd row충청북도 음성군 읍성읍 사정길 78
3rd row충청북도 음성군 음성읍 덕생로 288번길 14-4
4th row충청북도 음성군 음성읍 음성로 429-4
5th row충청북도 음성군 음성읍 음성로 193번길 10-3
ValueCountFrequency (%)
충청북도 143
19.4%
음성군 143
19.4%
금왕읍 24
 
3.2%
음성읍 21
 
2.8%
대소면 20
 
2.7%
감곡면 19
 
2.6%
삼성면 15
 
2.0%
원남면 13
 
1.8%
소이면 12
 
1.6%
맹동면 10
 
1.4%
Other values (256) 319
43.2%
2023-12-12T22:32:39.988677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
18.4%
성 193
 
6.0%
음 172
 
5.3%
충 149
 
4.6%
청 148
 
4.6%
도 148
 
4.6%
북 144
 
4.5%
군 144
 
4.5%
길 121
 
3.7%
로 103
 
3.2%
Other values (115) 1318
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2042
63.1%
Space Separator 594
 
18.4%
Decimal Number 560
 
17.3%
Dash Punctuation 38
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 193
 
9.5%
음 172
 
8.4%
충 149
 
7.3%
청 148
 
7.2%
도 148
 
7.2%
북 144
 
7.1%
군 144
 
7.1%
길 121
 
5.9%
로 103
 
5.0%
면 99
 
4.8%
Other values (103) 621
30.4%
Decimal Number
ValueCountFrequency (%)
1 97
17.3%
2 84
15.0%
3 75
13.4%
4 56
10.0%
5 56
10.0%
8 42
7.5%
6 41
7.3%
7 39
7.0%
0 37
 
6.6%
9 33
 
5.9%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2042
63.1%
Common 1192
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 193
 
9.5%
음 172
 
8.4%
충 149
 
7.3%
청 148
 
7.2%
도 148
 
7.2%
북 144
 
7.1%
군 144
 
7.1%
길 121
 
5.9%
로 103
 
5.0%
면 99
 
4.8%
Other values (103) 621
30.4%
Common
ValueCountFrequency (%)
594
49.8%
1 97
 
8.1%
2 84
 
7.0%
3 75
 
6.3%
4 56
 
4.7%
5 56
 
4.7%
8 42
 
3.5%
6 41
 
3.4%
7 39
 
3.3%
- 38
 
3.2%
Other values (2) 70
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2042
63.1%
ASCII 1192
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
49.8%
1 97
 
8.1%
2 84
 
7.0%
3 75
 
6.3%
4 56
 
4.7%
5 56
 
4.7%
8 42
 
3.5%
6 41
 
3.4%
7 39
 
3.3%
- 38
 
3.2%
Other values (2) 70
 
5.9%
Hangul
ValueCountFrequency (%)
성 193
 
9.5%
음 172
 
8.4%
충 149
 
7.3%
청 148
 
7.2%
도 148
 
7.2%
북 144
 
7.1%
군 144
 
7.1%
길 121
 
5.9%
로 103
 
5.0%
면 99
 
4.8%
Other values (103) 621
30.4%

건축연도
Real number (ℝ)

Distinct40
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1996
Minimum1936
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:40.120335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1936
5-th percentile1976
Q11992
median1998
Q32004
95-th percentile2012
Maximum2021
Range85
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.063489
Coefficient of variation (CV)0.0060438324
Kurtosis3.2114334
Mean1996
Median Absolute Deviation (MAD)6
Skewness-1.1800948
Sum289420
Variance145.52778
MonotonicityNot monotonic
2023-12-12T22:32:40.248173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1998 12
 
8.3%
2002 12
 
8.3%
2007 8
 
5.5%
1993 8
 
5.5%
1996 7
 
4.8%
1997 6
 
4.1%
2003 6
 
4.1%
1994 5
 
3.4%
2000 5
 
3.4%
1992 5
 
3.4%
Other values (30) 71
49.0%
ValueCountFrequency (%)
1936 1
 
0.7%
1968 1
 
0.7%
1973 3
2.1%
1974 2
1.4%
1976 2
1.4%
1977 3
2.1%
1978 4
2.8%
1979 4
2.8%
1980 3
2.1%
1982 1
 
0.7%
ValueCountFrequency (%)
2021 1
 
0.7%
2015 2
 
1.4%
2014 2
 
1.4%
2013 1
 
0.7%
2012 3
 
2.1%
2011 1
 
0.7%
2010 3
 
2.1%
2009 3
 
2.1%
2008 3
 
2.1%
2007 8
5.5%

규모(제곱미터)
Real number (ℝ)

Distinct124
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.75059
Minimum21
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:40.390119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile56.172
Q186.26
median104.98
Q3164.73
95-th percentile238.906
Maximum1179
Range1158
Interquartile range (IQR)78.47

Descriptive statistics

Standard deviation107.37533
Coefficient of variation (CV)0.80280272
Kurtosis62.664017
Mean133.75059
Median Absolute Deviation (MAD)29.77
Skewness6.7331383
Sum19393.835
Variance11529.463
MonotonicityNot monotonic
2023-12-12T22:32:40.552788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 10
 
6.9%
83.0 4
 
2.8%
198.0 3
 
2.1%
132.0 3
 
2.1%
62.8 2
 
1.4%
96.0 2
 
1.4%
66.0 2
 
1.4%
73.0 2
 
1.4%
165.0 2
 
1.4%
167.0 1
 
0.7%
Other values (114) 114
78.6%
ValueCountFrequency (%)
21.0 1
0.7%
27.5 1
0.7%
28.42 1
0.7%
30.0 1
0.7%
44.1 1
0.7%
50.0 1
0.7%
53.65 1
0.7%
54.87 1
0.7%
61.38 1
0.7%
62.8 2
1.4%
ValueCountFrequency (%)
1179.0 1
0.7%
397.2 1
0.7%
386.12 1
0.7%
330.0 1
0.7%
290.84 1
0.7%
247.43 1
0.7%
242.16 1
0.7%
239.12 1
0.7%
238.05 1
0.7%
231.0 1
0.7%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022-09-20
145 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-20
2nd row2022-09-20
3rd row2022-09-20
4th row2022-09-20
5th row2022-09-20

Common Values

ValueCountFrequency (%)
2022-09-20 145
100.0%

Length

2023-12-12T22:32:40.749249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:40.882983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-20 145
100.0%

Interactions

2023-12-12T22:32:36.712279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.053262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.409615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.816910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.176041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.513959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.915444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.281373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:36.608036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:32:40.954475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번읍면동명건축연도규모(제곱미터)
순번1.0000.9680.2870.027
읍면동명0.9681.0000.2770.000
건축연도0.2870.2771.0000.150
규모(제곱미터)0.0270.0000.1501.000
2023-12-12T22:32:41.063309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건축연도규모(제곱미터)읍면동명
순번1.000-0.1380.1020.870
건축연도-0.1381.0000.1620.140
규모(제곱미터)0.1020.1621.0000.000
읍면동명0.8700.1400.0001.000

Missing values

2023-12-12T22:32:37.038878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:32:37.164770image/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

순번읍면동명마을명회관명도로명주소건축연도규모(제곱미터)데이터 기준일자
01음성읍감우감우 마을회충청북도 음성군 음성읍 음성로 621200330.02022-09-20
12음성읍사정2(벌터)사정2리 마을회충청북도 음성군 읍성읍 사정길 782005114.272022-09-20
23음성읍삼생3삼생3리 마을회충청북도 음성군 음성읍 덕생로 288번길 14-4200853.652022-09-20
34음성읍소여2소여2리 마을회충청북도 음성군 음성읍 음성로 429-4197999.172022-09-20
45음성읍신천1(냇말)신천1냇말마을회충청북도 음성군 음성읍 음성로 193번길 10-3201382.032022-09-20
56음성읍신천2신천2 마을회충청북도 음성군 음성읍 중리길 832002161.12022-09-20
67음성읍용산1용산1리 마을회충청북도 음성군 음성읍 신용로21번길 19201590.62022-09-20
78음성읍용산3용산3 마을회충청북도 음성군 음성읍 가섭길 41198962.82022-09-20
89음성읍용산5용산5 마을회충청북도 음성군 음성읍 용광로530번길 13199162.82022-09-20
910음성읍용산6용산6 마을회충청북도 음성군 음성읍 용광로230번길 13-5198566.12022-09-20
순번읍면동명마을명회관명도로명주소건축연도규모(제곱미터)데이터 기준일자
135136감곡면영산2영산2리산정회충청북도 음성군 감곡면 영산로55번길 161985330.02022-09-20
136137감곡면오향2오향2리마을회충청북도 음성군 감곡면 거일길 102200299.02022-09-20
137138감곡면오향3오향3리마을회충청북도 음성군 감곡면 음성로2576번길 15-71985104.162022-09-20
138139감곡면오향4오향4리 오근마을회충청북도 음성군 감곡면 음성로2568번길 671980129.52022-09-20
139140감곡면오향5오향5리마을회충청북도 음성군 감곡면 북부로 83번길 23199221.02022-09-20
140141감곡면오향6오향6리마을회충청북도 음성군 감곡면 영산로 496번길6199366.02022-09-20
141142감곡면왕장1왕장1리마을회충청북도 음성군 감곡면 매괴길 432002115.982022-09-20
142143감곡면월정리월정리마을회충청북도 음성군 감곡면 감노로 5282001165.952022-09-20
143144감곡면월정리월정리마을회충청북도 음성군 감곡면 감노로 5161980169.382022-09-20
144145감곡면주천1주천1리 마을회충청북도 음성군 감곡면 음성로2293번길 132002200.02022-09-20