Overview

Dataset statistics

Number of variables7
Number of observations466
Missing cells65
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory56.3 B

Variable types

Text4
Categorical3

Dataset

Description충청남도 부여군 마을회관 및 경로당, 분회경로당 현황 자료입니다(명칭, 읍면, 리, 용도, 도로명주소, 연락처, 데이터기준일)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=437&beforeMenuCd=DOM_000000201001001000&publicdatapk=15004519

Alerts

데이터기준일 has constant value ""Constant
용도 is highly imbalanced (57.1%)Imbalance
연락처 has 65 (13.9%) missing valuesMissing
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:33:55.497628
Analysis finished2024-01-09 21:33:55.989086
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

Distinct463
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T06:33:56.146063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.5729614
Min length5

Characters and Unicode

Total characters3995
Distinct characters190
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

Unique460 ?
Unique (%)98.7%

Sample

1st row가증경로당(가증1)
2nd row금남경로당(가증2)
3rd row가증2리경로당
4th row가탑1리경로당
5th row가탑2리경로당
ValueCountFrequency (%)
경로당 146
 
20.6%
노인회 44
 
6.2%
마을회관(경로당 34
 
4.8%
대한노인회 8
 
1.1%
분회 5
 
0.7%
경로당(학구경로당 2
 
0.3%
송정1리 2
 
0.3%
송정2리 2
 
0.3%
구교3리경로당 2
 
0.3%
봉황경로당 1
 
0.1%
Other values (462) 462
65.3%
2024-01-10T06:33:56.517087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 395
 
9.9%
경 384
 
9.6%
로 382
 
9.6%
리 355
 
8.9%
244
 
6.1%
회 196
 
4.9%
2 131
 
3.3%
1 129
 
3.2%
관 106
 
2.7%
( 98
 
2.5%
Other values (180) 1575
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3212
80.4%
Decimal Number 341
 
8.5%
Space Separator 244
 
6.1%
Open Punctuation 98
 
2.5%
Close Punctuation 98
 
2.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 395
 
12.3%
경 384
 
12.0%
로 382
 
11.9%
리 355
 
11.1%
회 196
 
6.1%
관 106
 
3.3%
마 95
 
3.0%
노 90
 
2.8%
인 88
 
2.7%
을 87
 
2.7%
Other values (168) 1034
32.2%
Decimal Number
ValueCountFrequency (%)
2 131
38.4%
1 129
37.8%
3 56
16.4%
4 17
 
5.0%
5 5
 
1.5%
6 2
 
0.6%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3212
80.4%
Common 781
 
19.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 395
 
12.3%
경 384
 
12.0%
로 382
 
11.9%
리 355
 
11.1%
회 196
 
6.1%
관 106
 
3.3%
마 95
 
3.0%
노 90
 
2.8%
인 88
 
2.7%
을 87
 
2.7%
Other values (168) 1034
32.2%
Common
ValueCountFrequency (%)
244
31.2%
2 131
16.8%
1 129
16.5%
( 98
12.5%
) 98
12.5%
3 56
 
7.2%
4 17
 
2.2%
5 5
 
0.6%
6 2
 
0.3%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3212
80.4%
ASCII 783
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 395
 
12.3%
경 384
 
12.0%
로 382
 
11.9%
리 355
 
11.1%
회 196
 
6.1%
관 106
 
3.3%
마 95
 
3.0%
노 90
 
2.8%
인 88
 
2.7%
을 87
 
2.7%
Other values (168) 1034
32.2%
ASCII
ValueCountFrequency (%)
244
31.2%
2 131
16.7%
1 129
16.5%
( 98
12.5%
) 98
12.5%
3 56
 
7.2%
4 17
 
2.2%
5 5
 
0.6%
6 2
 
0.3%
L 1
 
0.1%
Other values (2) 2
 
0.3%

읍면
Categorical

Distinct16
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
부여읍
54 
규암면
38 
임천면
36 
세도면
32 
은산면
31 
Other values (11)
275 

Length

Max length3
Median length3
Mean length2.944206
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부여읍 54
 
11.6%
규암면 38
 
8.2%
임천면 36
 
7.7%
세도면 32
 
6.9%
은산면 31
 
6.7%
양화면 28
 
6.0%
외산면 27
 
5.8%
장암면 27
 
5.8%
홍산면 26
 
5.6%
남면 26
 
5.6%
Other values (6) 141
30.3%

Length

2024-01-10T06:33:56.663175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부여읍 54
 
11.6%
규암면 38
 
8.2%
임천면 36
 
7.7%
세도면 32
 
6.9%
은산면 31
 
6.7%
양화면 28
 
6.0%
외산면 27
 
5.8%
장암면 27
 
5.8%
홍산면 26
 
5.6%
남면 26
 
5.6%
Other values (6) 141
30.3%

리
Text

Distinct424
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T06:33:56.896734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.3004292
Min length2

Characters and Unicode

Total characters2004
Distinct characters156
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

Unique386 ?
Unique (%)82.8%

Sample

1st row가증1리
2nd row가증2리
3rd row가증2리
4th row가탑1리
5th row가탑2리
ValueCountFrequency (%)
운치리 4
 
0.8%
청송1리 3
 
0.6%
안서리 3
 
0.6%
구교1리 3
 
0.6%
합송1리 3
 
0.6%
온해리 3
 
0.6%
저동리 3
 
0.6%
천보리 3
 
0.6%
군사1리 2
 
0.4%
장벌리 2
 
0.4%
Other values (438) 478
94.3%
2024-01-10T06:33:57.296326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 465
23.2%
1 172
 
8.6%
2 153
 
7.6%
3 68
 
3.4%
67
 
3.3%
산 42
 
2.1%
정 41
 
2.0%
송 29
 
1.4%
동 28
 
1.4%
4 27
 
1.3%
Other values (146) 912
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1424
71.1%
Decimal Number 465
 
23.2%
Space Separator 67
 
3.3%
Open Punctuation 17
 
0.8%
Close Punctuation 17
 
0.8%
Dash Punctuation 14
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 465
32.7%
산 42
 
2.9%
정 41
 
2.9%
송 29
 
2.0%
동 28
 
2.0%
암 24
 
1.7%
수 23
 
1.6%
가 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 708
49.7%
Decimal Number
ValueCountFrequency (%)
1 172
37.0%
2 153
32.9%
3 68
 
14.6%
4 27
 
5.8%
6 14
 
3.0%
5 8
 
1.7%
0 6
 
1.3%
9 6
 
1.3%
7 6
 
1.3%
8 5
 
1.1%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1424
71.1%
Common 580
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 465
32.7%
산 42
 
2.9%
정 41
 
2.9%
송 29
 
2.0%
동 28
 
2.0%
암 24
 
1.7%
수 23
 
1.6%
가 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 708
49.7%
Common
ValueCountFrequency (%)
1 172
29.7%
2 153
26.4%
3 68
 
11.7%
67
 
11.6%
4 27
 
4.7%
( 17
 
2.9%
) 17
 
2.9%
6 14
 
2.4%
- 14
 
2.4%
5 8
 
1.4%
Other values (4) 23
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1424
71.1%
ASCII 580
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 465
32.7%
산 42
 
2.9%
정 41
 
2.9%
송 29
 
2.0%
동 28
 
2.0%
암 24
 
1.7%
수 23
 
1.6%
가 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 708
49.7%
ASCII
ValueCountFrequency (%)
1 172
29.7%
2 153
26.4%
3 68
 
11.7%
67
 
11.6%
4 27
 
4.7%
( 17
 
2.9%
) 17
 
2.9%
6 14
 
2.4%
- 14
 
2.4%
5 8
 
1.4%
Other values (4) 23
 
4.0%

용도
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
마을회관,경로당 겸용
324 
경로당
67 
마을회관, 경로당 겸용
54 
분회경로당
 
11
마을회관
 
3
Other values (5)
 
7

Length

Max length12
Median length11
Mean length9.7017167
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row마을회관,경로당 겸용
2nd row경로당
3rd row마을회관,경로당 겸용
4th row마을회관,경로당 겸용
5th row마을회관,경로당 겸용

Common Values

ValueCountFrequency (%)
마을회관,경로당 겸용 324
69.5%
경로당 67
 
14.4%
마을회관, 경로당 겸용 54
 
11.6%
분회경로당 11
 
2.4%
마을회관 3
 
0.6%
분회 경로당 2
 
0.4%
학구단위 경로당 2
 
0.4%
분회경로당 1
 
0.2%
분회겨올당 1
 
0.2%
분회 1
 
0.2%

Length

2024-01-10T06:33:57.413239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:33:57.505043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
겸용 378
41.9%
마을회관,경로당 324
35.9%
경로당 125
 
13.9%
마을회관 57
 
6.3%
분회경로당 12
 
1.3%
분회 3
 
0.3%
학구단위 2
 
0.2%
분회겨올당 1
 
0.1%

도로명주소
Text

UNIQUE 

Distinct466
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T06:33:57.690942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32
Mean length22.703863
Min length17

Characters and Unicode

Total characters10580
Distinct characters193
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)100.0%

Sample

1st row충청남도 부여군 부여읍 가증로58번길 9-1
2nd row충청남도 부여군 부여읍 삼충로241번길 16-37
3rd row충청남도 부여군 부여읍 삼충로241번길 11
4th row충청남도 부여군 부여읍 금성로43번길 3-3
5th row충청남도 부여군 부여읍 가탑로 103-18
ValueCountFrequency (%)
충청남도 466
19.9%
부여군 466
19.9%
부여읍 54
 
2.3%
규암면 38
 
1.6%
임천면 36
 
1.5%
세도면 32
 
1.4%
은산면 31
 
1.3%
양화면 28
 
1.2%
장암면 27
 
1.2%
외산면 26
 
1.1%
Other values (689) 1138
48.6%
2024-01-10T06:33:57.978217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1907
18.0%
충 543
 
5.1%
부 534
 
5.0%
여 521
 
4.9%
남 517
 
4.9%
도 507
 
4.8%
군 466
 
4.4%
청 466
 
4.4%
로 460
 
4.3%
면 413
 
3.9%
Other values (183) 4246
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6704
63.4%
Space Separator 1907
 
18.0%
Decimal Number 1815
 
17.2%
Dash Punctuation 137
 
1.3%
Other Punctuation 6
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 543
 
8.1%
부 534
 
8.0%
여 521
 
7.8%
남 517
 
7.7%
도 507
 
7.6%
군 466
 
7.0%
청 466
 
7.0%
로 460
 
6.9%
면 413
 
6.2%
길 265
 
4.0%
Other values (167) 2012
30.0%
Decimal Number
ValueCountFrequency (%)
1 354
19.5%
2 269
14.8%
3 210
11.6%
4 172
9.5%
7 144
7.9%
5 143
7.9%
9 135
 
7.4%
6 132
 
7.3%
8 130
 
7.2%
0 126
 
6.9%
Space Separator
ValueCountFrequency (%)
1907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6704
63.4%
Common 3875
36.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 543
 
8.1%
부 534
 
8.0%
여 521
 
7.8%
남 517
 
7.7%
도 507
 
7.6%
군 466
 
7.0%
청 466
 
7.0%
로 460
 
6.9%
면 413
 
6.2%
길 265
 
4.0%
Other values (167) 2012
30.0%
Common
ValueCountFrequency (%)
1907
49.2%
1 354
 
9.1%
2 269
 
6.9%
3 210
 
5.4%
4 172
 
4.4%
7 144
 
3.7%
5 143
 
3.7%
- 137
 
3.5%
9 135
 
3.5%
6 132
 
3.4%
Other values (5) 272
 
7.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6704
63.4%
ASCII 3876
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1907
49.2%
1 354
 
9.1%
2 269
 
6.9%
3 210
 
5.4%
4 172
 
4.4%
7 144
 
3.7%
5 143
 
3.7%
- 137
 
3.5%
9 135
 
3.5%
6 132
 
3.4%
Other values (6) 273
 
7.0%
Hangul
ValueCountFrequency (%)
충 543
 
8.1%
부 534
 
8.0%
여 521
 
7.8%
남 517
 
7.7%
도 507
 
7.6%
군 466
 
7.0%
청 466
 
7.0%
로 460
 
6.9%
면 413
 
6.2%
길 265
 
4.0%
Other values (167) 2012
30.0%

연락처
Text

MISSING 

Distinct396
Distinct (%)98.8%
Missing65
Missing (%)13.9%
Memory size3.8 KiB
2024-01-10T06:33:58.191124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4812
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

Unique391 ?
Unique (%)97.5%

Sample

1st row041-834-6197
2nd row041-832-3982
3rd row041-833-0225
4th row041-833-7426
5th row041-832-9250
ValueCountFrequency (%)
041-837-9001 2
 
0.5%
041-832-4243 2
 
0.5%
041-833-1211 2
 
0.5%
041-834-6197 2
 
0.5%
041-834-4771 2
 
0.5%
041-833-3502 1
 
0.2%
041-835-0586 1
 
0.2%
041-833-3239 1
 
0.2%
041-834-6376 1
 
0.2%
041-833-9460 1
 
0.2%
Other values (386) 386
96.3%
2024-01-10T06:33:58.500111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 802
16.7%
3 671
13.9%
4 661
13.7%
0 560
11.6%
8 558
11.6%
1 555
11.5%
2 241
 
5.0%
5 229
 
4.8%
6 226
 
4.7%
7 163
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4010
83.3%
Dash Punctuation 802
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 671
16.7%
4 661
16.5%
0 560
14.0%
8 558
13.9%
1 555
13.8%
2 241
 
6.0%
5 229
 
5.7%
6 226
 
5.6%
7 163
 
4.1%
9 146
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 802
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 802
16.7%
3 671
13.9%
4 661
13.7%
0 560
11.6%
8 558
11.6%
1 555
11.5%
2 241
 
5.0%
5 229
 
4.8%
6 226
 
4.7%
7 163
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 802
16.7%
3 671
13.9%
4 661
13.7%
0 560
11.6%
8 558
11.6%
1 555
11.5%
2 241
 
5.0%
5 229
 
4.8%
6 226
 
4.7%
7 163
 
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-09-30
466 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 466
100.0%

Length

2024-01-10T06:33:58.611358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:33:58.699288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 466
100.0%

Correlations

2024-01-10T06:33:58.743174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.752
용도0.7521.000
2024-01-10T06:33:58.805107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.413
용도0.4131.000
2024-01-10T06:33:58.865017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.413
용도0.4131.000

Missing values

2024-01-10T06:33:55.869021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:33:55.955029image/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

명칭읍면리용도도로명주소연락처데이터기준일
0가증경로당(가증1)부여읍가증1리마을회관,경로당 겸용충청남도 부여군 부여읍 가증로58번길 9-1041-834-61972023-09-30
1금남경로당(가증2)부여읍가증2리경로당충청남도 부여군 부여읍 삼충로241번길 16-37041-832-39822023-09-30
2가증2리경로당부여읍가증2리마을회관,경로당 겸용충청남도 부여군 부여읍 삼충로241번길 11041-833-02252023-09-30
3가탑1리경로당부여읍가탑1리마을회관,경로당 겸용충청남도 부여군 부여읍 금성로43번길 3-3041-833-74262023-09-30
4가탑2리경로당부여읍가탑2리마을회관,경로당 겸용충청남도 부여군 부여읍 가탑로 103-18<NA>2023-09-30
5구교1리경로당부여읍구교1리마을회관,경로당 겸용충청남도 부여군 부여읍 나성로 75-11<NA>2023-09-30
6대한노인회 부여읍분회부여읍구교1리분회 경로당충청남도 부여군 부여읍 부여로 39041-832-92502023-09-30
7구교3리경로당부여읍구교2리마을회관,경로당 겸용충청남도 부여군 부여읍 나성북로46번길 21041-835-47292023-09-30
8구아리경로당부여읍구아리마을회관,경로당 겸용충청남도 부여군 부여읍 반월로 10-15<NA>2023-09-30
9군수1리경로당부여읍군수1리마을회관,경로당 겸용충청남도 부여군 부여읍 성말로 50041-836-84652023-09-30
명칭읍면리용도도로명주소연락처데이터기준일
456응평3리 경로당초촌면응평3리 (오평)마을회관,경로당 겸용충청남도 부여군 초촌면 금백로 906-4<NA>2023-09-30
457진호1리 경로당초촌면진호1리 (진호)마을회관,경로당 겸용충청남도 부여군 초촌면 진호로 38-9041-833-55902023-09-30
458진호2리 경로당초촌면진호2리 (비안)마을회관,경로당 겸용충청남도 부여군 초촌면 마름로26번길 40041-832-44132023-09-30
459진호3리 경로당초촌면진호3리 (장찬)마을회관,경로당 겸용충청남도 부여군 초촌면 소호로 128-8041-832-43732023-09-30
460초촌면노인회 분회초촌면초촌면분회경로당충청남도 부여군 초촌면 선사로373번길 38041-832-44352023-09-30
461초평1리 경로당초촌면초평1리 (새울)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로216번길 47-28<NA>2023-09-30
462초평2리 경로당초촌면초평2리 (죽헌)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로152번길 47041-832-42022023-09-30
463초평3리 경로당초촌면초평3리 (마산)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로258번길 11-3041-832-41662023-09-30
464추양리경로당초촌면추양리마을회관,경로당 겸용충청남도 부여군 초촌면 응추로104번길 43041-832-42292023-09-30
465추양리 문화마을경로당초촌면추양리문화마을마을회관,경로당 겸용충청남도 부여군 초촌면 선사로 89041-832-40492023-09-30