Overview

Dataset statistics

Number of variables7
Number of observations463
Missing cells61
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.4 KiB
Average record size in memory56.3 B

Variable types

Text4
Categorical2
DateTime1

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 (57.3%)Imbalance
연락처 has 61 (13.2%) missing valuesMissing
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:33:59.767089
Analysis finished2024-01-09 21:34:00.229969
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

Distinct460
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:34:00.363261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.5809935
Min length5

Characters and Unicode

Total characters3973
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

Unique457 ?
Unique (%)98.7%

Sample

1st row가증경로당(가증1)
2nd row금남경로당(가증2)
3rd row가증2리경로당
4th row가탑1리경로당
5th row가탑2리경로당
ValueCountFrequency (%)
경로당 145
 
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%
구교3리경로당 2
 
0.3%
송정2리 2
 
0.3%
옥산면 1
 
0.1%
Other values (459) 459
65.2%
2024-01-10T06:34:00.648730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 393
 
9.9%
경 381
 
9.6%
로 379
 
9.5%
리 355
 
8.9%
243
 
6.1%
회 195
 
4.9%
2 131
 
3.3%
1 129
 
3.2%
관 106
 
2.7%
( 98
 
2.5%
Other values (180) 1563
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3191
80.3%
Decimal Number 341
 
8.6%
Space Separator 243
 
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 393
 
12.3%
경 381
 
11.9%
로 379
 
11.9%
리 355
 
11.1%
회 195
 
6.1%
관 106
 
3.3%
마 94
 
2.9%
노 90
 
2.8%
인 88
 
2.8%
을 86
 
2.7%
Other values (168) 1024
32.1%
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 (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3191
80.3%
Common 780
 
19.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 393
 
12.3%
경 381
 
11.9%
로 379
 
11.9%
리 355
 
11.1%
회 195
 
6.1%
관 106
 
3.3%
마 94
 
2.9%
노 90
 
2.8%
인 88
 
2.8%
을 86
 
2.7%
Other values (168) 1024
32.1%
Common
ValueCountFrequency (%)
243
31.2%
2 131
16.8%
1 129
16.5%
( 98
12.6%
) 98
12.6%
3 56
 
7.2%
4 17
 
2.2%
5 5
 
0.6%
6 2
 
0.3%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3191
80.3%
ASCII 782
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 393
 
12.3%
경 381
 
11.9%
로 379
 
11.9%
리 355
 
11.1%
회 195
 
6.1%
관 106
 
3.3%
마 94
 
2.9%
노 90
 
2.8%
인 88
 
2.8%
을 86
 
2.7%
Other values (168) 1024
32.1%
ASCII
ValueCountFrequency (%)
243
31.1%
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%
H 1
 
0.1%
Other values (2) 2
 
0.3%

읍면
Categorical

Distinct16
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
부여읍
54 
규암면
37 
임천면
35 
세도면
32 
은산면
31 
Other values (11)
274 

Length

Max length3
Median length3
Mean length2.9438445
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부여읍 54
 
11.7%
규암면 37
 
8.0%
임천면 35
 
7.6%
세도면 32
 
6.9%
은산면 31
 
6.7%
양화면 28
 
6.0%
장암면 27
 
5.8%
외산면 26
 
5.6%
홍산면 26
 
5.6%
남면 26
 
5.6%
Other values (6) 141
30.5%

Length

2024-01-10T06:34:00.761553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부여읍 54
 
11.7%
규암면 37
 
8.0%
임천면 35
 
7.6%
세도면 32
 
6.9%
은산면 31
 
6.7%
양화면 28
 
6.0%
장암면 27
 
5.8%
외산면 26
 
5.6%
홍산면 26
 
5.6%
남면 26
 
5.6%
Other values (6) 141
30.5%

리
Text

Distinct424
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:34:00.992081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.3023758
Min length2

Characters and Unicode

Total characters1992
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

Unique388 ?
Unique (%)83.8%

Sample

1st row가증1리
2nd row가증2리
3rd row가증2리
4th row가탑1리
5th row가탑2리
ValueCountFrequency (%)
운치리 4
 
0.8%
구교1리 3
 
0.6%
온해리 3
 
0.6%
천보리 3
 
0.6%
안서리 3
 
0.6%
저동리 3
 
0.6%
청송1리 3
 
0.6%
신정리 2
 
0.4%
지티리 2
 
0.4%
남촌2리 2
 
0.4%
Other values (438) 476
94.4%
2024-01-10T06:34:01.339845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 462
23.2%
1 169
 
8.5%
2 153
 
7.7%
3 68
 
3.4%
67
 
3.4%
정 41
 
2.1%
산 41
 
2.1%
동 28
 
1.4%
송 28
 
1.4%
4 27
 
1.4%
Other values (146) 908
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1415
71.0%
Decimal Number 462
 
23.2%
Space Separator 67
 
3.4%
Open Punctuation 17
 
0.9%
Close Punctuation 17
 
0.9%
Dash Punctuation 14
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 462
32.7%
정 41
 
2.9%
산 41
 
2.9%
동 28
 
2.0%
송 28
 
2.0%
암 24
 
1.7%
가 23
 
1.6%
수 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 704
49.8%
Decimal Number
ValueCountFrequency (%)
1 169
36.6%
2 153
33.1%
3 68
14.7%
4 27
 
5.8%
6 14
 
3.0%
5 8
 
1.7%
0 6
 
1.3%
7 6
 
1.3%
9 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 1415
71.0%
Common 577
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 462
32.7%
정 41
 
2.9%
산 41
 
2.9%
동 28
 
2.0%
송 28
 
2.0%
암 24
 
1.7%
가 23
 
1.6%
수 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 704
49.8%
Common
ValueCountFrequency (%)
1 169
29.3%
2 153
26.5%
3 68
11.8%
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 1415
71.0%
ASCII 577
29.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 462
32.7%
정 41
 
2.9%
산 41
 
2.9%
동 28
 
2.0%
송 28
 
2.0%
암 24
 
1.7%
가 23
 
1.6%
수 23
 
1.6%
석 21
 
1.5%
지 20
 
1.4%
Other values (132) 704
49.8%
ASCII
ValueCountFrequency (%)
1 169
29.3%
2 153
26.5%
3 68
11.8%
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 (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
마을회관,경로당 겸용
324 
경로당
64 
마을회관, 경로당 겸용
54 
분회경로당
 
11
마을회관
 
3
Other values (5)
 
7

Length

Max length12
Median length11
Mean length9.7451404
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
70.0%
경로당 64
 
13.8%
마을회관, 경로당 겸용 54
 
11.7%
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

2024-01-10T06:34:01.453670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:34:01.543496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
겸용 378
42.0%
마을회관,경로당 324
36.0%
경로당 122
 
13.6%
마을회관 57
 
6.3%
분회경로당 12
 
1.3%
분회 3
 
0.3%
학구단위 2
 
0.2%
분회겨올당 1
 
0.1%

도로명주소
Text

UNIQUE 

Distinct463
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:34:01.772622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32
Mean length22.673866
Min length16

Characters and Unicode

Total characters10498
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

Unique463 ?
Unique (%)100.0%

Sample

1st row충청남도 부여군 부여읍 가증로58번길 9-1
2nd row충청남도 부여군 부여읍 삼충로241번길 16-37
3rd row충청남도 부여군 부여읍 삼충로241번길11
4th row충청남도 부여군 부여읍 금성로43번길 3-3
5th row충청남도 부여군 부여읍 가탑로 103-18
ValueCountFrequency (%)
충청남도 463
20.1%
부여군 463
20.1%
부여읍 54
 
2.3%
규암면 37
 
1.6%
임천면 35
 
1.5%
세도면 32
 
1.4%
은산면 31
 
1.3%
양화면 28
 
1.2%
장암면 27
 
1.2%
홍산면 26
 
1.1%
Other values (692) 1109
48.1%
2024-01-10T06:34:02.117270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1877
17.9%
충 540
 
5.1%
부 531
 
5.1%
여 518
 
4.9%
남 514
 
4.9%
도 504
 
4.8%
군 463
 
4.4%
청 463
 
4.4%
로 457
 
4.4%
면 410
 
3.9%
Other values (183) 4221
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6662
63.5%
Space Separator 1877
 
17.9%
Decimal Number 1807
 
17.2%
Dash Punctuation 135
 
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 540
 
8.1%
부 531
 
8.0%
여 518
 
7.8%
남 514
 
7.7%
도 504
 
7.6%
군 463
 
6.9%
청 463
 
6.9%
로 457
 
6.9%
면 410
 
6.2%
길 263
 
3.9%
Other values (167) 1999
30.0%
Decimal Number
ValueCountFrequency (%)
1 348
19.3%
2 271
15.0%
3 212
11.7%
4 169
9.4%
5 144
8.0%
7 142
7.9%
9 133
 
7.4%
8 132
 
7.3%
6 131
 
7.2%
0 125
 
6.9%
Space Separator
ValueCountFrequency (%)
1877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
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 6662
63.5%
Common 3835
36.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 540
 
8.1%
부 531
 
8.0%
여 518
 
7.8%
남 514
 
7.7%
도 504
 
7.6%
군 463
 
6.9%
청 463
 
6.9%
로 457
 
6.9%
면 410
 
6.2%
길 263
 
3.9%
Other values (167) 1999
30.0%
Common
ValueCountFrequency (%)
1877
48.9%
1 348
 
9.1%
2 271
 
7.1%
3 212
 
5.5%
4 169
 
4.4%
5 144
 
3.8%
7 142
 
3.7%
- 135
 
3.5%
9 133
 
3.5%
8 132
 
3.4%
Other values (5) 272
 
7.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6662
63.5%
ASCII 3836
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1877
48.9%
1 348
 
9.1%
2 271
 
7.1%
3 212
 
5.5%
4 169
 
4.4%
5 144
 
3.8%
7 142
 
3.7%
- 135
 
3.5%
9 133
 
3.5%
8 132
 
3.4%
Other values (6) 273
 
7.1%
Hangul
ValueCountFrequency (%)
충 540
 
8.1%
부 531
 
8.0%
여 518
 
7.8%
남 514
 
7.7%
도 504
 
7.6%
군 463
 
6.9%
청 463
 
6.9%
로 457
 
6.9%
면 410
 
6.2%
길 263
 
3.9%
Other values (167) 1999
30.0%

연락처
Text

MISSING 

Distinct397
Distinct (%)98.8%
Missing61
Missing (%)13.2%
Memory size3.7 KiB
2024-01-10T06:34:02.328470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4824
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

Unique392 ?
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%
041-833-9460 1
 
0.2%
041-834-6376 1
 
0.2%
Other values (387) 387
96.3%
2024-01-10T06:34:02.634240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 804
16.7%
3 673
14.0%
4 662
13.7%
0 562
11.7%
8 559
11.6%
1 556
11.5%
2 242
 
5.0%
5 229
 
4.7%
6 227
 
4.7%
7 163
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4020
83.3%
Dash Punctuation 804
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 673
16.7%
4 662
16.5%
0 562
14.0%
8 559
13.9%
1 556
13.8%
2 242
 
6.0%
5 229
 
5.7%
6 227
 
5.6%
7 163
 
4.1%
9 147
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 804
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 804
16.7%
3 673
14.0%
4 662
13.7%
0 562
11.7%
8 559
11.6%
1 556
11.5%
2 242
 
5.0%
5 229
 
4.7%
6 227
 
4.7%
7 163
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 804
16.7%
3 673
14.0%
4 662
13.7%
0 562
11.7%
8 559
11.6%
1 556
11.5%
2 242
 
5.0%
5 229
 
4.7%
6 227
 
4.7%
7 163
 
3.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2021-09-24 00:00:00
Maximum2021-09-24 00:00:00
2024-01-10T06:34:02.727648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:34:02.793532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T06:34:02.845973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.757
용도0.7571.000
2024-01-10T06:34:02.906579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.419
용도0.4191.000
2024-01-10T06:34:02.969012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면용도
읍면1.0000.419
용도0.4191.000

Missing values

2024-01-10T06:34:00.110157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:34:00.196234image/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 9-1041-834-61972021-09-24
1금남경로당(가증2)부여읍가증2리경로당충청남도 부여군 부여읍 삼충로241번길 16-37041-832-39822021-09-24
2가증2리경로당부여읍가증2리마을회관,경로당 겸용충청남도 부여군 부여읍 삼충로241번길11041-833-02252021-09-24
3가탑1리경로당부여읍가탑1리마을회관,경로당 겸용충청남도 부여군 부여읍 금성로43번길 3-3041-833-74262021-09-24
4가탑2리경로당부여읍가탑2리마을회관,경로당 겸용충청남도 부여군 부여읍 가탑로 103-18<NA>2021-09-24
5구교1리경로당부여읍구교1리마을회관,경로당 겸용충청남도 부여군 부여읍 나성로 75-11<NA>2021-09-24
6대한노인회 부여읍분회부여읍구교1리분회 경로당충청남도 부여군 부여읍 부여로39041-832-92502021-09-24
7구교3리경로당부여읍구교2리마을회관,경로당 겸용충청남도 부여군 부여읍 나성북로46번길 21041-835-47292021-09-24
8구아리경로당부여읍구아리마을회관,경로당 겸용충청남도 부여군 부여읍 반월로 10-15<NA>2021-09-24
9군수1리경로당부여읍군수1리마을회관,경로당 겸용충청남도 부여군 부여읍 성말로 50041-836-84652021-09-24
명칭읍면리용도도로명주소연락처데이터기준일
453응평3리 경로당초촌면응평3리 (오평)마을회관,경로당 겸용충청남도 부여군 초촌면 금백로 906-4<NA>2021-09-24
454진호1리 경로당초촌면진호1리 (진호)마을회관,경로당 겸용충청남도 부여군 초촌면 진호로 38-9041-833-55902021-09-24
455진호2리 경로당초촌면진호2리 (비안)마을회관,경로당 겸용충청남도 부여군 초촌면 마름로26번길 40041-832-44132021-09-24
456진호3리 경로당초촌면진호3리 (장찬)마을회관,경로당 겸용충청남도 부여군 초촌면 소호로 128-8041-832-43732021-09-24
457초촌면노인회 분회초촌면초촌면분회경로당충청남도 부여군 초촌면 선사로373번길 38041-832-44352021-09-24
458초평1리 경로당초촌면초평1리 (새울)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로216번길 47-28<NA>2021-09-24
459초평2리 경로당초촌면초평2리 (죽헌)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로152번길 47041-832-42022021-09-24
460초평3리 경로당초촌면초평3리 (마산)마을회관,경로당 겸용충청남도 부여군 초촌면 초평로258번길 11-3041-832-41662021-09-24
461추양리경로당초촌면추양리마을회관,경로당 겸용충청남도 부여군 초촌면 응추로104번길 43041-832-42292021-09-24
462추양리 문화마을경로당초촌면추양리문화마을마을회관,경로당 겸용충청남도 부여군 초촌면 선사로 89041-832-40492021-09-24