Overview

Dataset statistics

Number of variables6
Number of observations266
Missing cells20
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description부산광역시부산진구_경로당현황_20230313
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055229

Alerts

연번 is highly overall correlated with 동명High correlation
동명 is highly overall correlated with 연번High correlation
전화번호 has 20 (7.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:23:12.539652
Analysis finished2023-12-10 17:23:13.912540
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.5
Minimum1
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T02:23:14.089088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.25
Q167.25
median133.5
Q3199.75
95-th percentile252.75
Maximum266
Range265
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation76.931788
Coefficient of variation (CV)0.57626807
Kurtosis-1.2
Mean133.5
Median Absolute Deviation (MAD)66.5
Skewness0
Sum35511
Variance5918.5
MonotonicityStrictly increasing
2023-12-11T02:23:14.441896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
184 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
Other values (256) 256
96.2%
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 (%)
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%

동명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
범천2동
25 
전포1동
23 
부암1동
20 
개금3동
18 
당감1동
18 
Other values (16)
162 

Length

Max length4
Median length4
Mean length3.8947368
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row부전1동
2nd row부전1동
3rd row부전1동
4th row부전1동
5th row부전1동

Common Values

ValueCountFrequency (%)
범천2동 25
 
9.4%
전포1동 23
 
8.6%
부암1동 20
 
7.5%
개금3동 18
 
6.8%
당감1동 18
 
6.8%
초읍동 17
 
6.4%
양정1동 15
 
5.6%
전포2동 15
 
5.6%
가야1동 15
 
5.6%
가야2동 14
 
5.3%
Other values (11) 86
32.3%

Length

2023-12-11T02:23:14.769295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
범천2동 25
 
9.4%
전포1동 23
 
8.6%
부암1동 20
 
7.5%
개금3동 18
 
6.8%
당감1동 18
 
6.8%
초읍동 17
 
6.4%
양정1동 15
 
5.6%
전포2동 15
 
5.6%
가야1동 15
 
5.6%
가야2동 14
 
5.3%
Other values (10) 86
32.3%

경로당명
Text

Distinct260
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:23:15.292825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.3796992
Min length5

Characters and Unicode

Total characters2229
Distinct characters228
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

Unique256 ?
Unique (%)96.2%

Sample

1st row부전1동할머니경로당
2nd row부전1동 노인경로당
3rd row진산 경로당
4th row범전할머니 경로당
5th row범양 경로당
ValueCountFrequency (%)
경로당 142
31.7%
노인정 12
 
2.7%
노인회 8
 
1.8%
일심 4
 
0.9%
할머니경로당 4
 
0.9%
동원화인훼밀리 2
 
0.4%
할아버지경로당 2
 
0.4%
신개금lg 2
 
0.4%
화승아파트 2
 
0.4%
중앙 2
 
0.4%
Other values (260) 268
59.8%
2023-12-11T02:23:16.859355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 246
 
11.0%
로 243
 
10.9%
경 239
 
10.7%
182
 
8.2%
파 70
 
3.1%
아 69
 
3.1%
트 67
 
3.0%
인 41
 
1.8%
동 37
 
1.7%
정 35
 
1.6%
Other values (218) 1000
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1995
89.5%
Space Separator 182
 
8.2%
Decimal Number 28
 
1.3%
Uppercase Letter 13
 
0.6%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 246
 
12.3%
로 243
 
12.2%
경 239
 
12.0%
파 70
 
3.5%
아 69
 
3.5%
트 67
 
3.4%
인 41
 
2.1%
동 37
 
1.9%
정 35
 
1.8%
노 32
 
1.6%
Other values (202) 916
45.9%
Uppercase Letter
ValueCountFrequency (%)
L 3
23.1%
G 2
15.4%
I 2
15.4%
T 2
15.4%
K 1
 
7.7%
H 1
 
7.7%
P 1
 
7.7%
A 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 13
46.4%
1 13
46.4%
3 2
 
7.1%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1995
89.5%
Common 219
 
9.8%
Latin 15
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 246
 
12.3%
로 243
 
12.2%
경 239
 
12.0%
파 70
 
3.5%
아 69
 
3.5%
트 67
 
3.4%
인 41
 
2.1%
동 37
 
1.9%
정 35
 
1.8%
노 32
 
1.6%
Other values (202) 916
45.9%
Latin
ValueCountFrequency (%)
L 3
20.0%
G 2
13.3%
e 2
13.3%
I 2
13.3%
T 2
13.3%
K 1
 
6.7%
H 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%
Common
ValueCountFrequency (%)
182
83.1%
2 13
 
5.9%
1 13
 
5.9%
) 4
 
1.8%
( 4
 
1.8%
3 2
 
0.9%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1995
89.5%
ASCII 234
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 246
 
12.3%
로 243
 
12.2%
경 239
 
12.0%
파 70
 
3.5%
아 69
 
3.5%
트 67
 
3.4%
인 41
 
2.1%
동 37
 
1.9%
정 35
 
1.8%
노 32
 
1.6%
Other values (202) 916
45.9%
ASCII
ValueCountFrequency (%)
182
77.8%
2 13
 
5.6%
1 13
 
5.6%
) 4
 
1.7%
( 4
 
1.7%
L 3
 
1.3%
G 2
 
0.9%
e 2
 
0.9%
I 2
 
0.9%
3 2
 
0.9%
Other values (6) 7
 
3.0%

도로명주소
Text

Distinct242
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:23:17.574024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length30.432331
Min length20

Characters and Unicode

Total characters8095
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)82.0%

Sample

1st row부산광역시 부산진구 부전로 130-10 (부전동)
2nd row부산광역시 부산진구 부전로 130-10 (부전동)
3rd row부산광역시 부산진구 범전로32번길 66 (부전동)
4th row부산광역시 부산진구 시민공원로74번길 11-11 (부전동)
5th row부산광역시 부산진구 경마장로5번길 30-1 (부전동)
ValueCountFrequency (%)
부산광역시 266
 
20.0%
부산진구 266
 
20.0%
전포동 32
 
2.4%
당감동 18
 
1.4%
개금동 17
 
1.3%
양정동 15
 
1.1%
부전동 13
 
1.0%
초읍동 13
 
1.0%
범천동 13
 
1.0%
진남로 11
 
0.8%
Other values (443) 668
50.2%
2023-12-11T02:23:18.799611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1066
 
13.2%
부 582
 
7.2%
산 558
 
6.9%
동 310
 
3.8%
진 292
 
3.6%
광 282
 
3.5%
시 273
 
3.4%
로 270
 
3.3%
역 266
 
3.3%
구 266
 
3.3%
Other values (204) 3930
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5177
64.0%
Decimal Number 1121
 
13.8%
Space Separator 1066
 
13.2%
Open Punctuation 265
 
3.3%
Close Punctuation 265
 
3.3%
Other Punctuation 122
 
1.5%
Dash Punctuation 64
 
0.8%
Uppercase Letter 14
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 582
 
11.2%
산 558
 
10.8%
동 310
 
6.0%
진 292
 
5.6%
광 282
 
5.4%
시 273
 
5.3%
로 270
 
5.2%
역 266
 
5.1%
구 266
 
5.1%
길 160
 
3.1%
Other values (180) 1918
37.0%
Decimal Number
ValueCountFrequency (%)
1 243
21.7%
2 162
14.5%
3 123
11.0%
5 104
9.3%
7 93
 
8.3%
0 92
 
8.2%
6 90
 
8.0%
4 80
 
7.1%
9 71
 
6.3%
8 63
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
L 4
28.6%
A 2
14.3%
I 2
14.3%
G 2
14.3%
H 2
14.3%
D 1
 
7.1%
S 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 120
98.4%
: 2
 
1.6%
Space Separator
ValueCountFrequency (%)
1066
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5177
64.0%
Common 2903
35.9%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 582
 
11.2%
산 558
 
10.8%
동 310
 
6.0%
진 292
 
5.6%
광 282
 
5.4%
시 273
 
5.3%
로 270
 
5.2%
역 266
 
5.1%
구 266
 
5.1%
길 160
 
3.1%
Other values (180) 1918
37.0%
Common
ValueCountFrequency (%)
1066
36.7%
( 265
 
9.1%
) 265
 
9.1%
1 243
 
8.4%
2 162
 
5.6%
3 123
 
4.2%
, 120
 
4.1%
5 104
 
3.6%
7 93
 
3.2%
0 92
 
3.2%
Other values (6) 370
 
12.7%
Latin
ValueCountFrequency (%)
L 4
26.7%
A 2
13.3%
I 2
13.3%
G 2
13.3%
H 2
13.3%
e 1
 
6.7%
D 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5177
64.0%
ASCII 2918
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1066
36.5%
( 265
 
9.1%
) 265
 
9.1%
1 243
 
8.3%
2 162
 
5.6%
3 123
 
4.2%
, 120
 
4.1%
5 104
 
3.6%
7 93
 
3.2%
0 92
 
3.2%
Other values (14) 385
 
13.2%
Hangul
ValueCountFrequency (%)
부 582
 
11.2%
산 558
 
10.8%
동 310
 
6.0%
진 292
 
5.6%
광 282
 
5.4%
시 273
 
5.3%
로 270
 
5.2%
역 266
 
5.1%
구 266
 
5.1%
길 160
 
3.1%
Other values (180) 1918
37.0%

지번주소
Text

Distinct235
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:23:19.716214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.928571
Min length16

Characters and Unicode

Total characters5301
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)76.7%

Sample

1st row부산광역시 부산진구 부전동 403-3
2nd row부산광역시 부산진구 부전동 403-3
3rd row부산광역시 부산진구 범전동 27-43
4th row부산광역시 부산진구 범전동 252-9
5th row부산광역시 부산진구 범전동 73-278
ValueCountFrequency (%)
부산광역시 266
25.0%
부산진구 266
25.0%
개금동 41
 
3.9%
전포동 38
 
3.6%
당감동 36
 
3.4%
범천동 31
 
2.9%
부암동 31
 
2.9%
가야동 29
 
2.7%
양정동 18
 
1.7%
초읍동 17
 
1.6%
Other values (237) 291
27.3%
2023-12-11T02:23:21.069299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
798
15.1%
부 568
 
10.7%
산 536
 
10.1%
광 266
 
5.0%
역 266
 
5.0%
시 266
 
5.0%
진 266
 
5.0%
구 266
 
5.0%
동 266
 
5.0%
1 208
 
3.9%
Other values (34) 1595
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3200
60.4%
Decimal Number 1094
 
20.6%
Space Separator 798
 
15.1%
Dash Punctuation 206
 
3.9%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 568
17.8%
산 536
16.8%
광 266
8.3%
역 266
8.3%
시 266
8.3%
진 266
8.3%
구 266
8.3%
동 266
8.3%
전 51
 
1.6%
개 41
 
1.3%
Other values (19) 408
12.8%
Decimal Number
ValueCountFrequency (%)
1 208
19.0%
3 128
11.7%
5 112
10.2%
2 111
10.1%
4 108
9.9%
6 102
9.3%
7 90
8.2%
9 83
 
7.6%
8 82
 
7.5%
0 70
 
6.4%
Space Separator
ValueCountFrequency (%)
798
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3200
60.4%
Common 2101
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 568
17.8%
산 536
16.8%
광 266
8.3%
역 266
8.3%
시 266
8.3%
진 266
8.3%
구 266
8.3%
동 266
8.3%
전 51
 
1.6%
개 41
 
1.3%
Other values (19) 408
12.8%
Common
ValueCountFrequency (%)
798
38.0%
1 208
 
9.9%
- 206
 
9.8%
3 128
 
6.1%
5 112
 
5.3%
2 111
 
5.3%
4 108
 
5.1%
6 102
 
4.9%
7 90
 
4.3%
9 83
 
4.0%
Other values (5) 155
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3200
60.4%
ASCII 2101
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
798
38.0%
1 208
 
9.9%
- 206
 
9.8%
3 128
 
6.1%
5 112
 
5.3%
2 111
 
5.3%
4 108
 
5.1%
6 102
 
4.9%
7 90
 
4.3%
9 83
 
4.0%
Other values (5) 155
 
7.4%
Hangul
ValueCountFrequency (%)
부 568
17.8%
산 536
16.8%
광 266
8.3%
역 266
8.3%
시 266
8.3%
진 266
8.3%
구 266
8.3%
동 266
8.3%
전 51
 
1.6%
개 41
 
1.3%
Other values (19) 408
12.8%

전화번호
Text

MISSING 

Distinct244
Distinct (%)99.2%
Missing20
Missing (%)7.5%
Memory size2.2 KiB
2023-12-11T02:23:21.672274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.036585
Min length12

Characters and Unicode

Total characters2961
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)98.4%

Sample

1st row051-805-9158
2nd row051-805-5280
3rd row051-804-4518
4th row051-817-8448
5th row051-816-2161
ValueCountFrequency (%)
051-898-2479 2
 
0.8%
051-892-9331 2
 
0.8%
051-804-9978 1
 
0.4%
051-892-8658 1
 
0.4%
051-893-2891 1
 
0.4%
051-892-8581 1
 
0.4%
051-805-9158 1
 
0.4%
051-896-6258 1
 
0.4%
051-894-0018 1
 
0.4%
051-891-0707 1
 
0.4%
Other values (235) 235
95.1%
2023-12-11T02:23:22.721894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 492
16.6%
0 410
13.8%
1 400
13.5%
5 367
12.4%
8 331
11.2%
9 214
7.2%
6 171
 
5.8%
3 166
 
5.6%
2 141
 
4.8%
7 136
 
4.6%
Other values (3) 133
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2467
83.3%
Dash Punctuation 492
 
16.6%
Math Symbol 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 410
16.6%
1 400
16.2%
5 367
14.9%
8 331
13.4%
9 214
8.7%
6 171
6.9%
3 166
6.7%
2 141
 
5.7%
7 136
 
5.5%
4 131
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 492
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 492
16.6%
0 410
13.8%
1 400
13.5%
5 367
12.4%
8 331
11.2%
9 214
7.2%
6 171
 
5.8%
3 166
 
5.6%
2 141
 
4.8%
7 136
 
4.6%
Other values (3) 133
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 492
16.6%
0 410
13.8%
1 400
13.5%
5 367
12.4%
8 331
11.2%
9 214
7.2%
6 171
 
5.8%
3 166
 
5.6%
2 141
 
4.8%
7 136
 
4.6%
Other values (3) 133
 
4.5%

Interactions

2023-12-11T02:23:13.312035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:23:22.967274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.979
동명0.9791.000
2023-12-11T02:23:23.152608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.860
동명0.8601.000

Missing values

2023-12-11T02:23:13.571001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:23:13.818527image/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

연번동명경로당명도로명주소지번주소전화번호
01부전1동부전1동할머니경로당부산광역시 부산진구 부전로 130-10 (부전동)부산광역시 부산진구 부전동 403-3051-805-9158
12부전1동부전1동 노인경로당부산광역시 부산진구 부전로 130-10 (부전동)부산광역시 부산진구 부전동 403-3051-805-5280
23부전1동진산 경로당부산광역시 부산진구 범전로32번길 66 (부전동)부산광역시 부산진구 범전동 27-43051-804-4518
34부전1동범전할머니 경로당부산광역시 부산진구 시민공원로74번길 11-11 (부전동)부산광역시 부산진구 범전동 252-9051-817-8448
45부전1동범양 경로당부산광역시 부산진구 경마장로5번길 30-1 (부전동)부산광역시 부산진구 범전동 73-278051-816-2161
56부전1동서부 경로당부산광역시 부산진구 새싹로 90 (부전동)부산광역시 부산진구 범전동 212-87051-803-2479
67부전1동범전아파트 경로당부산광역시 부산진구 범양로 6 (부전동)부산광역시 부산진구 범전동 43-4051-803-3978
78부전1동범전동 아름다운 경로당부산광역시 부산진구 범양로 48 (부전동)부산광역시 부산진구 범전동 71-229051-805-3787
89부전1동범전새마을경로당부산광역시 부산진구 경마장로 12 (부전동)부산광역시 부산진구 범전동 35-2<NA>
910부전1동삼한골든뷰센트럴파크아파트경로당부산광역시 부산진구 중앙대로 821 (부전동)부산광역시 부산진구 범전동 450<NA>
연번동명경로당명도로명주소지번주소전화번호
256257범천2동부인 경로당부산광역시 부산진구 신암로155번나길 6 (범천동)부산광역시 부산진구 범천동 1119-56051-632-2597
257258범천2동대한범천 노인회부산광역시 부산진구 신암로155번가길 15(범천동)부산광역시 부산진구 범천동 1119-19051-644-0226
258259범천2동선록 경로당부산광역시 부산진구 엄광로384번나길 20(범천동)부산광역시 부산진구 범천동 1126-21051-645-2257
259260범천2동할머니 경로당부산광역시 부산진구 신암로99번길 37(범천동)부산광역시 부산진구 범천동 1616-42051-631-7362
260261범천2동로얄아파트경로당부산광역시 부산진구 엄광로 392 (범천동,로얄아파트)부산광역시 부산진구 범천동 1127051-635-6786
261262범천2동선인경로당부산광역시 부산진구 만리산로79번길 14 (범천동)부산광역시 부산진구 범천동 1243-28051-647-3385
262263범천2동서면e편한세상아파트경로당부산광역시 부산진구 가야대로 702 (범천동,서면e편한세상아파트)부산광역시 부산진구 범천동 1054051-804-9978
263264범천2동서면엘리시안아파트경로당부산광역시 부산진구 만리산로 11(범천동,서면DS협성엘리시안아파트)부산광역시 부산진구 범천동 1647051-636-1237
264265범천2동안창마을 경로당부산광역시 부산진구 안창로72번길 17(범천동)부산광역시 부산진구 범천동 1540-1051-638-6738
265266범천2동범천양지경로당부산광역시 부산진구 만리산로5번길 24(범천동)부산광역시 부산진구 범천동 1302-92051-633-2611