Overview

Dataset statistics

Number of variables8
Number of observations231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory67.6 B

Variable types

Numeric3
Categorical1
Text3
DateTime1

Dataset

Description충청북도 제천시의 다목적회관 정보입니다.- 읍면동- 리통별- 명칭 및 회관분류(마을회관, 다목적회관, 관리실 등)- 위치(주소)- 연면적(㎡)- 건축년도
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15033912/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2024-01-14 13:38:35.433666
Analysis finished2024-01-14 13:38:37.223893
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-14T22:38:37.361690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2024-01-14T22:38:37.587184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%

읍면동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
봉양읍
27 
백운면
22 
수산면
21 
청풍면
20 
송학면
18 
Other values (12)
123 

Length

Max length4
Median length3
Mean length2.965368
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉양읍 27
11.7%
백운면 22
9.5%
수산면 21
9.1%
청풍면 20
8.7%
송학면 18
 
7.8%
덕산면 17
 
7.4%
신백동 16
 
6.9%
금성면 15
 
6.5%
청전동 14
 
6.1%
교동 13
 
5.6%
Other values (7) 48
20.8%

Length

2024-01-14T22:38:37.821494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
봉양읍 27
11.7%
백운면 22
9.5%
수산면 21
9.1%
청풍면 20
8.7%
송학면 18
 
7.8%
덕산면 17
 
7.4%
신백동 16
 
6.9%
금성면 15
 
6.5%
청전동 14
 
6.1%
교동 13
 
5.6%
Other values (7) 48
20.8%

리통별
Text

Distinct228
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-14T22:38:38.301478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length4.7359307
Min length2

Characters and Unicode

Total characters1094
Distinct characters128
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)97.4%

Sample

1st row주포1리
2nd row장평1리
3rd row장평2리
4th row미당1리
5th row미당2리
ValueCountFrequency (%)
수산1리 2
 
0.9%
수산2리 2
 
0.9%
포전리 2
 
0.9%
명지)2통 1
 
0.4%
송한1리 1
 
0.4%
교동)9통 1
 
0.4%
장락)19통 1
 
0.4%
주포1리 1
 
0.4%
장락)22통 1
 
0.4%
장락)1통 1
 
0.4%
Other values (220) 220
94.4%
2024-01-14T22:38:38.987746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 156
 
14.3%
) 91
 
8.3%
( 91
 
8.3%
통 85
 
7.8%
1 66
 
6.0%
2 60
 
5.5%
전 33
 
3.0%
곡 27
 
2.5%
3 22
 
2.0%
도 21
 
1.9%
Other values (118) 442
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 717
65.5%
Decimal Number 189
 
17.3%
Close Punctuation 91
 
8.3%
Open Punctuation 91
 
8.3%
Other Punctuation 4
 
0.4%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 156
21.8%
통 85
 
11.9%
전 33
 
4.6%
곡 27
 
3.8%
도 21
 
2.9%
장 16
 
2.2%
산 15
 
2.1%
청 14
 
2.0%
월 13
 
1.8%
학 13
 
1.8%
Other values (104) 324
45.2%
Decimal Number
ValueCountFrequency (%)
1 66
34.9%
2 60
31.7%
3 22
 
11.6%
4 12
 
6.3%
5 11
 
5.8%
9 7
 
3.7%
6 4
 
2.1%
7 4
 
2.1%
8 2
 
1.1%
0 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
65.5%
Common 377
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 156
21.8%
통 85
 
11.9%
전 33
 
4.6%
곡 27
 
3.8%
도 21
 
2.9%
장 16
 
2.2%
산 15
 
2.1%
청 14
 
2.0%
월 13
 
1.8%
학 13
 
1.8%
Other values (104) 324
45.2%
Common
ValueCountFrequency (%)
) 91
24.1%
( 91
24.1%
1 66
17.5%
2 60
15.9%
3 22
 
5.8%
4 12
 
3.2%
5 11
 
2.9%
9 7
 
1.9%
, 4
 
1.1%
6 4
 
1.1%
Other values (4) 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 717
65.5%
ASCII 377
34.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 156
21.8%
통 85
 
11.9%
전 33
 
4.6%
곡 27
 
3.8%
도 21
 
2.9%
장 16
 
2.2%
산 15
 
2.1%
청 14
 
2.0%
월 13
 
1.8%
학 13
 
1.8%
Other values (104) 324
45.2%
ASCII
ValueCountFrequency (%)
) 91
24.1%
( 91
24.1%
1 66
17.5%
2 60
15.9%
3 22
 
5.8%
4 12
 
3.2%
5 11
 
2.9%
9 7
 
1.9%
, 4
 
1.1%
6 4
 
1.1%
Other values (4) 9
 
2.4%

명칭
Text

Distinct229
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-14T22:38:39.270582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.978355
Min length7

Characters and Unicode

Total characters2074
Distinct characters180
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)98.3%

Sample

1st row주포1리 다목적회관
2nd row장평1리 마을회관
3rd row장평2리 다목적회관
4th row미당1리 마을회관
5th row미당2리 마을회관
ValueCountFrequency (%)
마을회관 157
33.5%
다목적회관 64
 
13.6%
수산2리 2
 
0.4%
수산1리 2
 
0.4%
성내리 2
 
0.4%
교동 2
 
0.4%
문화생활관 2
 
0.4%
포전리 2
 
0.4%
죽하 1
 
0.2%
아세아주택 1
 
0.2%
Other values (234) 234
49.9%
2024-01-14T22:38:39.824342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
11.5%
관 231
 
11.1%
회 227
 
10.9%
마 163
 
7.9%
을 160
 
7.7%
리 153
 
7.4%
적 70
 
3.4%
다 68
 
3.3%
목 68
 
3.3%
1 36
 
1.7%
Other values (170) 660
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1739
83.8%
Space Separator 238
 
11.5%
Decimal Number 88
 
4.2%
Uppercase Letter 7
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 231
13.3%
회 227
13.1%
마 163
 
9.4%
을 160
 
9.2%
리 153
 
8.8%
적 70
 
4.0%
다 68
 
3.9%
목 68
 
3.9%
곡 25
 
1.4%
동 20
 
1.2%
Other values (159) 554
31.9%
Decimal Number
ValueCountFrequency (%)
1 36
40.9%
2 35
39.8%
3 10
 
11.4%
4 5
 
5.7%
5 1
 
1.1%
8 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
85.7%
E 1
 
14.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1739
83.8%
Common 328
 
15.8%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 231
13.3%
회 227
13.1%
마 163
 
9.4%
을 160
 
9.2%
리 153
 
8.8%
적 70
 
4.0%
다 68
 
3.9%
목 68
 
3.9%
곡 25
 
1.4%
동 20
 
1.2%
Other values (159) 554
31.9%
Common
ValueCountFrequency (%)
238
72.6%
1 36
 
11.0%
2 35
 
10.7%
3 10
 
3.0%
4 5
 
1.5%
5 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
A 6
85.7%
E 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1739
83.8%
ASCII 335
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
71.0%
1 36
 
10.7%
2 35
 
10.4%
3 10
 
3.0%
A 6
 
1.8%
4 5
 
1.5%
5 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
8 1
 
0.3%
Hangul
ValueCountFrequency (%)
관 231
13.3%
회 227
13.1%
마 163
 
9.4%
을 160
 
9.2%
리 153
 
8.8%
적 70
 
4.0%
다 68
 
3.9%
목 68
 
3.9%
곡 25
 
1.4%
동 20
 
1.2%
Other values (159) 554
31.9%

위치
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-14T22:38:40.259411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.458874
Min length15

Characters and Unicode

Total characters4726
Distinct characters138
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)100.0%

Sample

1st row충청북도 제천시 봉양읍 주포로5길 23
2nd row충청북도 제천시 봉양읍 제원로2길 69
3rd row충청북도 제천시 봉양읍 북부로11안길 31
4th row충청북도 제천시 봉양읍 용두대로36길 36
5th row충청북도 제천시 봉양읍 용두대로36길 155
ValueCountFrequency (%)
충청북도 231
21.5%
제천시 230
21.4%
봉양읍 27
 
2.5%
백운면 22
 
2.1%
수산면 21
 
2.0%
청풍면 20
 
1.9%
송학면 19
 
1.8%
덕산면 17
 
1.6%
금성면 14
 
1.3%
12 9
 
0.8%
Other values (363) 463
43.2%
2024-01-14T22:38:40.866757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
845
17.9%
청 274
 
5.8%
천 250
 
5.3%
도 239
 
5.1%
제 238
 
5.0%
북 233
 
4.9%
시 232
 
4.9%
충 231
 
4.9%
1 208
 
4.4%
로 203
 
4.3%
Other values (128) 1773
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3050
64.5%
Space Separator 845
 
17.9%
Decimal Number 786
 
16.6%
Dash Punctuation 43
 
0.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 274
 
9.0%
천 250
 
8.2%
도 239
 
7.8%
제 238
 
7.8%
북 233
 
7.6%
시 232
 
7.6%
충 231
 
7.6%
로 203
 
6.7%
길 169
 
5.5%
면 122
 
4.0%
Other values (114) 859
28.2%
Decimal Number
ValueCountFrequency (%)
1 208
26.5%
2 119
15.1%
3 82
 
10.4%
4 70
 
8.9%
6 68
 
8.7%
5 60
 
7.6%
7 57
 
7.3%
0 48
 
6.1%
8 37
 
4.7%
9 37
 
4.7%
Space Separator
ValueCountFrequency (%)
845
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3050
64.5%
Common 1676
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 274
 
9.0%
천 250
 
8.2%
도 239
 
7.8%
제 238
 
7.8%
북 233
 
7.6%
시 232
 
7.6%
충 231
 
7.6%
로 203
 
6.7%
길 169
 
5.5%
면 122
 
4.0%
Other values (114) 859
28.2%
Common
ValueCountFrequency (%)
845
50.4%
1 208
 
12.4%
2 119
 
7.1%
3 82
 
4.9%
4 70
 
4.2%
6 68
 
4.1%
5 60
 
3.6%
7 57
 
3.4%
0 48
 
2.9%
- 43
 
2.6%
Other values (4) 76
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3050
64.5%
ASCII 1676
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
845
50.4%
1 208
 
12.4%
2 119
 
7.1%
3 82
 
4.9%
4 70
 
4.2%
6 68
 
4.1%
5 60
 
3.6%
7 57
 
3.4%
0 48
 
2.9%
- 43
 
2.6%
Other values (4) 76
 
4.5%
Hangul
ValueCountFrequency (%)
청 274
 
9.0%
천 250
 
8.2%
도 239
 
7.8%
제 238
 
7.8%
북 233
 
7.6%
시 232
 
7.6%
충 231
 
7.6%
로 203
 
6.7%
길 169
 
5.5%
면 122
 
4.0%
Other values (114) 859
28.2%

연면적(제곱미터)
Real number (ℝ)

Distinct222
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.91113
Minimum49.35
Maximum464.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-14T22:38:41.089525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.35
5-th percentile69.075
Q1103.665
median138.9
Q3173.125
95-th percentile278.175
Maximum464.62
Range415.27
Interquartile range (IQR)69.46

Descriptive statistics

Standard deviation65.950645
Coefficient of variation (CV)0.43993163
Kurtosis3.3350118
Mean149.91113
Median Absolute Deviation (MAD)35.22
Skewness1.4699731
Sum34629.47
Variance4349.4876
MonotonicityNot monotonic
2024-01-14T22:38:41.286076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 2
 
0.9%
166.3 2
 
0.9%
138.4 2
 
0.9%
99.18 2
 
0.9%
99.0 2
 
0.9%
156.6 2
 
0.9%
143.1 2
 
0.9%
56.4 2
 
0.9%
166.75 2
 
0.9%
160.66 1
 
0.4%
Other values (212) 212
91.8%
ValueCountFrequency (%)
49.35 1
0.4%
50.96 1
0.4%
53.55 1
0.4%
56.38 1
0.4%
56.4 2
0.9%
58.0 1
0.4%
65.29 1
0.4%
65.4 1
0.4%
66.0 2
0.9%
68.07 1
0.4%
ValueCountFrequency (%)
464.62 1
0.4%
411.51 1
0.4%
359.2 1
0.4%
352.0 1
0.4%
342.43 1
0.4%
329.4 1
0.4%
314.04 1
0.4%
312.9 1
0.4%
308.91 1
0.4%
282.91 1
0.4%

건축년도
Real number (ℝ)

Distinct40
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.1645
Minimum1972
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-14T22:38:41.478650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1972
5-th percentile1988
Q12000
median2007
Q32011
95-th percentile2017
Maximum2022
Range50
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.1736269
Coefficient of variation (CV)0.0045749996
Kurtosis1.7941733
Mean2005.1645
Median Absolute Deviation (MAD)5
Skewness-1.1028157
Sum463193
Variance84.15543
MonotonicityNot monotonic
2024-01-14T22:38:41.678390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2010 16
 
6.9%
2012 16
 
6.9%
2009 15
 
6.5%
2013 14
 
6.1%
2006 13
 
5.6%
2008 13
 
5.6%
2005 12
 
5.2%
2011 10
 
4.3%
2004 10
 
4.3%
2007 10
 
4.3%
Other values (30) 102
44.2%
ValueCountFrequency (%)
1972 1
 
0.4%
1973 2
0.9%
1976 1
 
0.4%
1977 1
 
0.4%
1978 1
 
0.4%
1984 3
1.3%
1985 1
 
0.4%
1988 3
1.3%
1990 1
 
0.4%
1991 1
 
0.4%
ValueCountFrequency (%)
2022 4
 
1.7%
2021 3
 
1.3%
2020 1
 
0.4%
2019 1
 
0.4%
2017 4
 
1.7%
2016 3
 
1.3%
2015 3
 
1.3%
2014 8
3.5%
2013 14
6.1%
2012 16
6.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2023-12-29 00:00:00
Maximum2023-12-29 00:00:00
2024-01-14T22:38:41.838646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:41.963582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-14T22:38:36.535575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:35.889847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.192222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.636128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:35.990222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.308307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.734426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.078101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:38:36.419576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:38:42.057906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동연면적(제곱미터)건축년도
연번1.0000.9660.0490.343
읍면동0.9661.0000.4050.237
연면적(제곱미터)0.0490.4051.0000.229
건축년도0.3430.2370.2291.000
2024-01-14T22:38:42.160943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(제곱미터)건축년도읍면동
연번1.0000.0110.0980.829
연면적(제곱미터)0.0111.000-0.0600.166
건축년도0.098-0.0601.0000.099
읍면동0.8290.1660.0991.000

Missing values

2024-01-14T22:38:36.960063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:38:37.149035image/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

연번읍면동리통별명칭위치연면적(제곱미터)건축년도데이터기준일자
01봉양읍주포1리주포1리 다목적회관충청북도 제천시 봉양읍 주포로5길 23261.7620132023-12-29
12봉양읍장평1리장평1리 마을회관충청북도 제천시 봉양읍 제원로2길 69198.4420002023-12-29
23봉양읍장평2리장평2리 다목적회관충청북도 제천시 봉양읍 북부로11안길 31114.3520082023-12-29
34봉양읍미당1리미당1리 마을회관충청북도 제천시 봉양읍 용두대로36길 36170.8519992023-12-29
45봉양읍미당2리미당2리 마을회관충청북도 제천시 봉양읍 용두대로36길 155255.1820052023-12-29
56봉양읍명도1리명도1리 마을회관충청북도 제천시 봉양읍 용두대로40길 185132.019962023-12-29
67봉양읍명도2리명도2리 마을회관충청북도 제천시 봉양읍 명암로1길 93144.619952023-12-29
78봉양읍봉양리봉양리 국화실 마을회관충청북도 제천시 봉양읍 용두대로46길 1785.5619962023-12-29
89봉양읍명암리명암리 마을회관충청북도 제천시 봉양읍 명암로5길 9164.1520002023-12-29
910봉양읍학산리학산리 다목적회관충청북도 제천시 봉양읍 제원로11길 66264.2320082023-12-29
연번읍면동리통별명칭위치연면적(제곱미터)건축년도데이터기준일자
221222청전동(청전)25통시영아파트다목적회관충청북도 제천시 고암로13길 12 가동-103호49.3520092023-12-29
222223화산동(화산)1통화산1동 마을회관충청북도 제천시 내토로32안길 18342.4319942023-12-29
223224화산동(화산)3통갈마골 마을회관충청북도 제천시 숭의로9길 21149.4920202023-12-29
224225화산동(강제)2통원강제 마을회관충청북도 제천시 원강저로1길 12240.2720062023-12-29
225226화산동(강제)5통벌담 다목적회관충청북도 제천시 강천1길 9212.220102023-12-29
226227화산동(명지)1통방초골 마을회관충청북도 제천시 명지로4길 2262.9720062023-12-29
227228화산동(명지)2통무지골 마을회관충청북도 제천시 무지동길 77132.920032023-12-29
228229화산동(산곡)1통느티정 마을회관충청북도 제천시 청풍호로17길 10-4151.9120002023-12-29
229230화산동(산곡)2통중터 다목적회관충청북도 제천시 산곡길 42195.7820142023-12-29
230231화산동(산곡)3통산으실 다목적회관충청북도 제천시 산곡8길 2-1159.5720132023-12-29