Overview

Dataset statistics

Number of variables7
Number of observations526
Missing cells128
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.4 KiB
Average record size in memory57.3 B

Variable types

Text4
Categorical1
DateTime1
Numeric1

Dataset

Description전라남도 여수시 읍면동별 경로당 527개소에 대한 경로당 주소와 경로당 명칭을 정리하여 등록함 경로당 회장 명단등의 사항은 개인정보로 미 공개 대상임
URLhttps://www.data.go.kr/data/15048114/fileData.do

Alerts

시설유형 has constant value ""Constant
전화번호 has 119 (22.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:33:14.765534
Analysis finished2023-12-12 04:33:15.684053
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct514
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T13:33:15.938771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.6330798
Min length2

Characters and Unicode

Total characters3489
Distinct characters265
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

Unique503 ?
Unique (%)95.6%

Sample

1st row군내경로당
2nd row군내중앙경로당
3rd row동내경로당
4th row남외경로당
5th row서외경로당
ValueCountFrequency (%)
신흥경로당 3
 
0.5%
대포2구 3
 
0.5%
장수경로당 3
 
0.5%
내동경로당 3
 
0.5%
금호아파트경로당 3
 
0.5%
율촌면 3
 
0.5%
대포4구 3
 
0.5%
돌산 3
 
0.5%
장척경로당 2
 
0.4%
사곡2구 2
 
0.4%
Other values (526) 543
95.1%
2023-12-12T13:33:16.415217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 527
 
15.1%
당 522
 
15.0%
로 521
 
14.9%
구 66
 
1.9%
동 62
 
1.8%
아 50
 
1.4%
트 46
 
1.3%
산 46
 
1.3%
45
 
1.3%
파 44
 
1.3%
Other values (255) 1560
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3296
94.5%
Decimal Number 104
 
3.0%
Space Separator 45
 
1.3%
Open Punctuation 14
 
0.4%
Close Punctuation 14
 
0.4%
Other Punctuation 10
 
0.3%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 527
 
16.0%
당 522
 
15.8%
로 521
 
15.8%
구 66
 
2.0%
동 62
 
1.9%
아 50
 
1.5%
트 46
 
1.4%
산 46
 
1.4%
파 44
 
1.3%
여 40
 
1.2%
Other values (237) 1372
41.6%
Decimal Number
ValueCountFrequency (%)
2 31
29.8%
1 25
24.0%
3 20
19.2%
4 11
 
10.6%
5 9
 
8.7%
7 2
 
1.9%
0 2
 
1.9%
6 2
 
1.9%
9 1
 
1.0%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
@ 7
70.0%
, 2
 
20.0%
. 1
 
10.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3296
94.5%
Common 187
 
5.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 527
 
16.0%
당 522
 
15.8%
로 521
 
15.8%
구 66
 
2.0%
동 62
 
1.9%
아 50
 
1.5%
트 46
 
1.4%
산 46
 
1.4%
파 44
 
1.3%
여 40
 
1.2%
Other values (237) 1372
41.6%
Common
ValueCountFrequency (%)
45
24.1%
2 31
16.6%
1 25
13.4%
3 20
10.7%
( 14
 
7.5%
) 14
 
7.5%
4 11
 
5.9%
5 9
 
4.8%
@ 7
 
3.7%
7 2
 
1.1%
Other values (6) 9
 
4.8%
Latin
ValueCountFrequency (%)
A 5
83.3%
e 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3296
94.5%
ASCII 193
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 527
 
16.0%
당 522
 
15.8%
로 521
 
15.8%
구 66
 
2.0%
동 62
 
1.9%
아 50
 
1.5%
트 46
 
1.4%
산 46
 
1.4%
파 44
 
1.3%
여 40
 
1.2%
Other values (237) 1372
41.6%
ASCII
ValueCountFrequency (%)
45
23.3%
2 31
16.1%
1 25
13.0%
3 20
10.4%
( 14
 
7.3%
) 14
 
7.3%
4 11
 
5.7%
5 9
 
4.7%
@ 7
 
3.6%
A 5
 
2.6%
Other values (8) 12
 
6.2%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
경로당
526 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 526
100.0%

Length

2023-12-12T13:33:16.570909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:16.666659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 526
100.0%

소재지도로명주소
Text

Distinct512
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T13:33:16.928153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length21.722433
Min length15

Characters and Unicode

Total characters11426
Distinct characters234
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

Unique498 ?
Unique (%)94.7%

Sample

1st row전라남도 여수시 돌산읍 방답길 41-5
2nd row전라남도 여수시 돌산읍 방답길 41-1
3rd row전라남도 여수시 돌산읍 방답길 62
4th row전라남도 여수시 돌산읍 남외길 13-7
5th row전라남도 여수시 돌산읍 서외길 24
ValueCountFrequency (%)
전라남도 526
20.0%
여수시 526
20.0%
돌산읍 56
 
2.1%
소라면 48
 
1.8%
화양면 47
 
1.8%
율촌면 44
 
1.7%
남면 31
 
1.2%
화정면 26
 
1.0%
국동 17
 
0.6%
여서동 15
 
0.6%
Other values (764) 1292
49.2%
2023-12-12T13:33:17.455091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2102
18.4%
남 586
 
5.1%
라 575
 
5.0%
여 573
 
5.0%
수 569
 
5.0%
도 563
 
4.9%
전 543
 
4.8%
시 535
 
4.7%
길 421
 
3.7%
1 358
 
3.1%
Other values (224) 4601
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7076
61.9%
Space Separator 2102
 
18.4%
Decimal Number 1530
 
13.4%
Open Punctuation 257
 
2.2%
Close Punctuation 257
 
2.2%
Dash Punctuation 180
 
1.6%
Other Punctuation 19
 
0.2%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 586
 
8.3%
라 575
 
8.1%
여 573
 
8.1%
수 569
 
8.0%
도 563
 
8.0%
전 543
 
7.7%
시 535
 
7.6%
길 421
 
5.9%
동 302
 
4.3%
면 207
 
2.9%
Other values (208) 2202
31.1%
Decimal Number
ValueCountFrequency (%)
1 358
23.4%
2 275
18.0%
3 183
12.0%
4 131
 
8.6%
5 125
 
8.2%
6 116
 
7.6%
7 99
 
6.5%
8 88
 
5.8%
0 81
 
5.3%
9 74
 
4.8%
Space Separator
ValueCountFrequency (%)
2102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7076
61.9%
Common 4345
38.0%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 586
 
8.3%
라 575
 
8.1%
여 573
 
8.1%
수 569
 
8.0%
도 563
 
8.0%
전 543
 
7.7%
시 535
 
7.6%
길 421
 
5.9%
동 302
 
4.3%
면 207
 
2.9%
Other values (208) 2202
31.1%
Common
ValueCountFrequency (%)
2102
48.4%
1 358
 
8.2%
2 275
 
6.3%
( 257
 
5.9%
) 257
 
5.9%
3 183
 
4.2%
- 180
 
4.1%
4 131
 
3.0%
5 125
 
2.9%
6 116
 
2.7%
Other values (5) 361
 
8.3%
Latin
ValueCountFrequency (%)
A 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7076
61.9%
ASCII 4350
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2102
48.3%
1 358
 
8.2%
2 275
 
6.3%
( 257
 
5.9%
) 257
 
5.9%
3 183
 
4.2%
- 180
 
4.1%
4 131
 
3.0%
5 125
 
2.9%
6 116
 
2.7%
Other values (6) 366
 
8.4%
Hangul
ValueCountFrequency (%)
남 586
 
8.3%
라 575
 
8.1%
여 573
 
8.1%
수 569
 
8.0%
도 563
 
8.0%
전 543
 
7.7%
시 535
 
7.6%
길 421
 
5.9%
동 302
 
4.3%
면 207
 
2.9%
Other values (208) 2202
31.1%

소재지지번주소
Text

Distinct507
Distinct (%)97.3%
Missing5
Missing (%)1.0%
Memory size4.2 KiB
2023-12-12T13:33:17.730679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length19.422265
Min length14

Characters and Unicode

Total characters10119
Distinct characters131
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

Unique493 ?
Unique (%)94.6%

Sample

1st row전라남도 여수시 돌산읍 군내리 409
2nd row전라남도 여수시 돌산읍 군내리 406
3rd row전라남도 여수시 돌산읍 군내리 265-1
4th row전라남도 여수시 돌산읍 군내리 555-6
5th row전라남도 여수시 돌산읍 군내리 993-1
ValueCountFrequency (%)
전라남도 521
22.8%
여수시 521
22.8%
돌산읍 55
 
2.4%
화양면 47
 
2.1%
소라면 47
 
2.1%
율촌면 44
 
1.9%
남면 31
 
1.4%
화정면 26
 
1.1%
우두리 16
 
0.7%
여서동 15
 
0.7%
Other values (598) 963
42.1%
2023-12-12T13:33:18.298140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1765
17.4%
라 571
 
5.6%
남 555
 
5.5%
도 555
 
5.5%
수 549
 
5.4%
여 541
 
5.3%
전 527
 
5.2%
시 522
 
5.2%
1 476
 
4.7%
- 336
 
3.3%
Other values (121) 3722
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5960
58.9%
Decimal Number 2048
 
20.2%
Space Separator 1765
 
17.4%
Dash Punctuation 336
 
3.3%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 571
9.6%
남 555
 
9.3%
도 555
 
9.3%
수 549
 
9.2%
여 541
 
9.1%
전 527
 
8.8%
시 522
 
8.8%
동 268
 
4.5%
리 262
 
4.4%
면 206
 
3.5%
Other values (105) 1404
23.6%
Decimal Number
ValueCountFrequency (%)
1 476
23.2%
2 238
11.6%
3 215
10.5%
4 212
10.4%
5 180
 
8.8%
6 161
 
7.9%
7 159
 
7.8%
0 138
 
6.7%
8 137
 
6.7%
9 132
 
6.4%
Space Separator
ValueCountFrequency (%)
1765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5960
58.9%
Common 4157
41.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 571
9.6%
남 555
 
9.3%
도 555
 
9.3%
수 549
 
9.2%
여 541
 
9.1%
전 527
 
8.8%
시 522
 
8.8%
동 268
 
4.5%
리 262
 
4.4%
면 206
 
3.5%
Other values (105) 1404
23.6%
Common
ValueCountFrequency (%)
1765
42.5%
1 476
 
11.5%
- 336
 
8.1%
2 238
 
5.7%
3 215
 
5.2%
4 212
 
5.1%
5 180
 
4.3%
6 161
 
3.9%
7 159
 
3.8%
0 138
 
3.3%
Other values (5) 277
 
6.7%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5960
58.9%
ASCII 4159
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1765
42.4%
1 476
 
11.4%
- 336
 
8.1%
2 238
 
5.7%
3 215
 
5.2%
4 212
 
5.1%
5 180
 
4.3%
6 161
 
3.9%
7 159
 
3.8%
0 138
 
3.3%
Other values (6) 279
 
6.7%
Hangul
ValueCountFrequency (%)
라 571
9.6%
남 555
 
9.3%
도 555
 
9.3%
수 549
 
9.2%
여 541
 
9.1%
전 527
 
8.8%
시 522
 
8.8%
동 268
 
4.5%
리 262
 
4.4%
면 206
 
3.5%
Other values (105) 1404
23.6%

전화번호
Text

MISSING 

Distinct401
Distinct (%)98.5%
Missing119
Missing (%)22.6%
Memory size4.2 KiB
2023-12-12T13:33:18.637155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4884
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

Unique395 ?
Unique (%)97.1%

Sample

1st row061-644-1037
2nd row061-644-1371
3rd row061-644-0908
4th row061-644-0027
5th row061-644-0280
ValueCountFrequency (%)
061-691-9976 2
 
0.5%
061-642-8733 2
 
0.5%
061-691-5055 2
 
0.5%
061-685-9373 2
 
0.5%
061-644-6044 2
 
0.5%
061-641-6936 2
 
0.5%
061-651-0996 1
 
0.2%
061-651-6518 1
 
0.2%
061-651-8139 1
 
0.2%
061-655-0598 1
 
0.2%
Other values (391) 391
96.1%
2023-12-12T13:33:19.089866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1116
22.9%
- 814
16.7%
0 629
12.9%
1 616
12.6%
4 322
 
6.6%
8 301
 
6.2%
5 276
 
5.7%
3 259
 
5.3%
2 234
 
4.8%
9 171
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4070
83.3%
Dash Punctuation 814
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1116
27.4%
0 629
15.5%
1 616
15.1%
4 322
 
7.9%
8 301
 
7.4%
5 276
 
6.8%
3 259
 
6.4%
2 234
 
5.7%
9 171
 
4.2%
7 146
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 1116
22.9%
- 814
16.7%
0 629
12.9%
1 616
12.6%
4 322
 
6.6%
8 301
 
6.2%
5 276
 
5.7%
3 259
 
5.3%
2 234
 
4.8%
9 171
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1116
22.9%
- 814
16.7%
0 629
12.9%
1 616
12.6%
4 322
 
6.6%
8 301
 
6.2%
5 276
 
5.7%
3 259
 
5.3%
2 234
 
4.8%
9 171
 
3.5%

건립일자
Date

Distinct488
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1934-01-01 00:00:00
Maximum2023-06-19 00:00:00
2023-12-12T13:33:19.253890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.396662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건물면적
Real number (ℝ)

Distinct452
Distinct (%)86.6%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean90.874784
Minimum16.31
Maximum329.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T13:33:19.558421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.31
5-th percentile42.905
Q166
median83.235
Q3104.8775
95-th percentile169.1085
Maximum329.4
Range313.09
Interquartile range (IQR)38.8775

Descriptive statistics

Standard deviation39.691859
Coefficient of variation (CV)0.43677527
Kurtosis5.5697487
Mean90.874784
Median Absolute Deviation (MAD)17.515
Skewness1.7725688
Sum47436.637
Variance1575.4436
MonotonicityNot monotonic
2023-12-12T13:33:19.746017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 9
 
1.7%
54.0 6
 
1.1%
64.8 6
 
1.1%
98.0 4
 
0.8%
88.56 4
 
0.8%
49.5 4
 
0.8%
85.0 3
 
0.6%
98.4 3
 
0.6%
90.0 3
 
0.6%
99.0 3
 
0.6%
Other values (442) 477
90.7%
(Missing) 4
 
0.8%
ValueCountFrequency (%)
16.31 1
0.2%
20.0 1
0.2%
26.73 1
0.2%
27.0 1
0.2%
28.92 1
0.2%
30.0 2
0.4%
30.23 2
0.4%
30.25 2
0.4%
32.04 1
0.2%
32.19 1
0.2%
ValueCountFrequency (%)
329.4 1
0.2%
282.96 1
0.2%
280.0 1
0.2%
268.92 1
0.2%
246.44 1
0.2%
241.0 1
0.2%
240.0 1
0.2%
208.31 1
0.2%
205.08 1
0.2%
199.17 1
0.2%

Interactions

2023-12-12T13:33:15.155962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:33:15.279890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:33:15.484576image/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.
2023-12-12T13:33:15.604290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명시설유형소재지도로명주소소재지지번주소전화번호건립일자건물면적
0군내경로당경로당전라남도 여수시 돌산읍 방답길 41-5전라남도 여수시 돌산읍 군내리 409061-644-10372011-03-2346.06
1군내중앙경로당경로당전라남도 여수시 돌산읍 방답길 41-1전라남도 여수시 돌산읍 군내리 406061-644-13711992-09-2197.42
2동내경로당경로당전라남도 여수시 돌산읍 방답길 62전라남도 여수시 돌산읍 군내리 265-1061-644-09081998-06-0170.4
3남외경로당경로당전라남도 여수시 돌산읍 남외길 13-7전라남도 여수시 돌산읍 군내리 555-6061-644-00272011-10-0485.62
4서외경로당경로당전라남도 여수시 돌산읍 서외길 24전라남도 여수시 돌산읍 군내리 993-1061-644-02801994-10-11138.6
5송도경로당경로당전라남도 여수시 돌산읍 송도길 30전라남도 여수시 돌산읍 군내리 1472-2061-644-03501988-07-0133.1
6돌산 신기경로당경로당전라남도 여수시 돌산읍 송도길 30전라남도 여수시 돌산읍 신복리 1114-7061-644-15511991-04-18136.2
7신기여자경로당경로당전라남도 여수시 돌산읍 신기길 47-1전라남도 여수시 돌산읍 신복리 905-7061-644-05162012-04-1732.04
8대복경로당경로당전라남도 여수시 돌산읍 대복길 29-8전라남도 여수시 돌산읍 신복리 455061-644-18122023-06-1964.34
9예교경로당경로당전라남도 여수시 돌산읍 예교길 5-1전라남도 여수시 돌산읍 신복리 1394-5061-644-03341994-12-2777.3
시설명시설유형소재지도로명주소소재지지번주소전화번호건립일자건물면적
516호명양지경로당경로당전라남도 여수시 호명5길 31-7 (호명동)전라남도 여수시 호명동 549<NA>2008-12-2282.8
517내동경로당경로당전라남도 여수시 호명4길 61 (호명동)전라남도 여수시 호명동 1154-1<NA>1997-07-0963.28
518자양경로당경로당전라남도 여수시 호명3길 62-1 (호명동)전라남도 여수시 호명동 1258-1061-686-03452006-06-1649.5
519자내리경로당경로당전라남도 여수시 호명2길 16 (호명동)전라남도 여수시 호명동 1331-1061-683-47711980-01-0140.9
520창촌경로당경로당전라남도 여수시 묘도5길 8 (묘도동)전라남도 여수시 묘도동 986-15061-685-65542006-10-25181.8
521창촌(여)경로당경로당전라남도 여수시 묘도3길 3-8 (묘도동)전라남도 여수시 묘도동 992-1<NA>2013-01-31129.06
522묘읍경로당경로당전라남도 여수시 묘도10길 30-7 (묘도동)전라남도 여수시 묘도동 1709-1외2<NA>2002-07-18147.4
523광양포경로당경로당전라남도 여수시 묘도7길 160 (묘도동)전라남도 여수시 묘도동 504-3<NA>2006-12-21135.0
524도독경로당경로당전라남도 여수시 묘도8길 150 (묘도동)전라남도 여수시 묘도동 319<NA>2009-09-03199.17
525온동경로당경로당전라남도 여수시 묘도12길 47-6 (묘도동)전라남도 여수시 묘도동 195-1061-686-62932005-04-1178.21