Overview

Dataset statistics

Number of variables6
Number of observations273
Missing cells27
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description부산진구 소재 경로당의 소재지, 동명,경로당명,도로명 주소,지번 주소, 전화번호 등 경로당의 전반적인 현황 데이터를 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15055229/fileData.do

Alerts

연번 is highly overall correlated with 동명High correlation
동명 is highly overall correlated with 연번High correlation
전화번호 has 27 (9.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 06:45:59.116769
Analysis finished2024-03-16 06:46:02.148021
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-16T06:46:02.483497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.6
Q169
median137
Q3205
95-th percentile259.4
Maximum273
Range272
Interquartile range (IQR)136

Descriptive statistics

Standard deviation78.952517
Coefficient of variation (CV)0.57629575
Kurtosis-1.2
Mean137
Median Absolute Deviation (MAD)68
Skewness0
Sum37401
Variance6233.5
MonotonicityStrictly increasing
2024-03-16T06:46:03.074001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
181 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
180 1
 
0.4%
206 1
 
0.4%
Other values (263) 263
96.3%
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 (%)
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%

동명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
범천2동
26 
전포1동
23 
부암1동
21 
개금3동
18 
당감1동
18 
Other values (15)
167 

Length

Max length4
Median length4
Mean length3.8937729
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
범천2동 26
 
9.5%
전포1동 23
 
8.4%
부암1동 21
 
7.7%
개금3동 18
 
6.6%
당감1동 18
 
6.6%
초읍동 17
 
6.2%
전포2동 16
 
5.9%
가야2동 16
 
5.9%
양정1동 15
 
5.5%
가야1동 15
 
5.5%
Other values (10) 88
32.2%

Length

2024-03-16T06:46:03.656965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
범천2동 26
 
9.5%
전포1동 23
 
8.4%
부암1동 21
 
7.7%
개금3동 18
 
6.6%
당감1동 18
 
6.6%
초읍동 17
 
6.2%
전포2동 16
 
5.9%
가야2동 16
 
5.9%
양정1동 15
 
5.5%
가야1동 15
 
5.5%
Other values (10) 88
32.2%

경로당명
Text

Distinct267
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-16T06:46:04.240409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.4761905
Min length5

Characters and Unicode

Total characters2314
Distinct characters237
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

Unique263 ?
Unique (%)96.3%

Sample

1st row부전1동할머니경로당
2nd row부전1동 노인경로당
3rd row진산 경로당
4th row범전할머니 경로당
5th row범양 경로당
ValueCountFrequency (%)
경로당 142
31.2%
노인정 12
 
2.6%
노인회 8
 
1.8%
일심 4
 
0.9%
할머니경로당 4
 
0.9%
할아버지경로당 2
 
0.4%
신개금lg 2
 
0.4%
화승아파트 2
 
0.4%
무궁화 2
 
0.4%
중앙 2
 
0.4%
Other values (267) 275
60.4%
2024-03-16T06:46:05.522978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 253
 
10.9%
로 250
 
10.8%
경 245
 
10.6%
182
 
7.9%
파 73
 
3.2%
아 71
 
3.1%
트 69
 
3.0%
인 41
 
1.8%
동 37
 
1.6%
정 37
 
1.6%
Other values (227) 1056
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2079
89.8%
Space Separator 182
 
7.9%
Decimal Number 29
 
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 253
 
12.2%
로 250
 
12.0%
경 245
 
11.8%
파 73
 
3.5%
아 71
 
3.4%
트 69
 
3.3%
인 41
 
2.0%
동 37
 
1.8%
정 37
 
1.8%
노 32
 
1.5%
Other values (211) 971
46.7%
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%
A 1
 
7.7%
P 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 14
48.3%
1 13
44.8%
3 2
 
6.9%
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 2079
89.8%
Common 220
 
9.5%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 253
 
12.2%
로 250
 
12.0%
경 245
 
11.8%
파 73
 
3.5%
아 71
 
3.4%
트 69
 
3.3%
인 41
 
2.0%
동 37
 
1.8%
정 37
 
1.8%
노 32
 
1.5%
Other values (211) 971
46.7%
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%
A 1
 
6.7%
P 1
 
6.7%
Common
ValueCountFrequency (%)
182
82.7%
2 14
 
6.4%
1 13
 
5.9%
) 4
 
1.8%
( 4
 
1.8%
3 2
 
0.9%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2079
89.8%
ASCII 235
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 253
 
12.2%
로 250
 
12.0%
경 245
 
11.8%
파 73
 
3.5%
아 71
 
3.4%
트 69
 
3.3%
인 41
 
2.0%
동 37
 
1.8%
정 37
 
1.8%
노 32
 
1.5%
Other values (211) 971
46.7%
ASCII
ValueCountFrequency (%)
182
77.4%
2 14
 
6.0%
1 13
 
5.5%
) 4
 
1.7%
( 4
 
1.7%
L 3
 
1.3%
3 2
 
0.9%
G 2
 
0.9%
e 2
 
0.9%
I 2
 
0.9%
Other values (6) 7
 
3.0%

도로명주소
Text

Distinct249
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-16T06:46:06.480698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length30.47619
Min length20

Characters and Unicode

Total characters8320
Distinct characters220
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

Unique225 ?
Unique (%)82.4%

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 273
 
20.0%
부산진구 273
 
20.0%
전포동 33
 
2.4%
당감동 18
 
1.3%
개금동 17
 
1.2%
양정동 15
 
1.1%
범천동 14
 
1.0%
부전동 13
 
1.0%
진남로 12
 
0.9%
초읍동 12
 
0.9%
Other values (453) 688
50.3%
2024-03-16T06:46:08.156541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1095
 
13.2%
부 597
 
7.2%
산 572
 
6.9%
동 317
 
3.8%
진 300
 
3.6%
광 289
 
3.5%
시 282
 
3.4%
로 277
 
3.3%
구 273
 
3.3%
역 273
 
3.3%
Other values (210) 4045
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5330
64.1%
Decimal Number 1144
 
13.8%
Space Separator 1095
 
13.2%
Open Punctuation 271
 
3.3%
Close Punctuation 271
 
3.3%
Other Punctuation 127
 
1.5%
Dash Punctuation 66
 
0.8%
Uppercase Letter 14
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 597
 
11.2%
산 572
 
10.7%
동 317
 
5.9%
진 300
 
5.6%
광 289
 
5.4%
시 282
 
5.3%
로 277
 
5.2%
구 273
 
5.1%
역 273
 
5.1%
번 161
 
3.0%
Other values (186) 1989
37.3%
Decimal Number
ValueCountFrequency (%)
1 249
21.8%
2 160
14.0%
3 129
11.3%
5 109
9.5%
7 96
 
8.4%
0 92
 
8.0%
6 91
 
8.0%
4 82
 
7.2%
9 71
 
6.2%
8 65
 
5.7%
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 (%)
, 125
98.4%
: 2
 
1.6%
Space Separator
ValueCountFrequency (%)
1095
100.0%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5330
64.1%
Common 2974
35.7%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 597
 
11.2%
산 572
 
10.7%
동 317
 
5.9%
진 300
 
5.6%
광 289
 
5.4%
시 282
 
5.3%
로 277
 
5.2%
구 273
 
5.1%
역 273
 
5.1%
번 161
 
3.0%
Other values (186) 1989
37.3%
Common
ValueCountFrequency (%)
1095
36.8%
( 271
 
9.1%
) 271
 
9.1%
1 249
 
8.4%
2 160
 
5.4%
3 129
 
4.3%
, 125
 
4.2%
5 109
 
3.7%
7 96
 
3.2%
0 92
 
3.1%
Other values (6) 377
 
12.7%
Latin
ValueCountFrequency (%)
L 4
25.0%
A 2
12.5%
I 2
12.5%
G 2
12.5%
H 2
12.5%
e 2
12.5%
D 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5330
64.1%
ASCII 2990
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1095
36.6%
( 271
 
9.1%
) 271
 
9.1%
1 249
 
8.3%
2 160
 
5.4%
3 129
 
4.3%
, 125
 
4.2%
5 109
 
3.6%
7 96
 
3.2%
0 92
 
3.1%
Other values (14) 393
 
13.1%
Hangul
ValueCountFrequency (%)
부 597
 
11.2%
산 572
 
10.7%
동 317
 
5.9%
진 300
 
5.6%
광 289
 
5.4%
시 282
 
5.3%
로 277
 
5.2%
구 273
 
5.1%
역 273
 
5.1%
번 161
 
3.0%
Other values (186) 1989
37.3%

지번주소
Text

Distinct242
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-16T06:46:09.547163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.915751
Min length16

Characters and Unicode

Total characters5437
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

Unique211 ?
Unique (%)77.3%

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 273
25.0%
부산진구 273
25.0%
개금동 41
 
3.8%
전포동 39
 
3.6%
당감동 36
 
3.3%
범천동 32
 
2.9%
부암동 32
 
2.9%
가야동 31
 
2.8%
양정동 20
 
1.8%
초읍동 17
 
1.6%
Other values (244) 298
27.3%
2024-03-16T06:46:11.629717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
15.1%
부 583
 
10.7%
산 550
 
10.1%
광 273
 
5.0%
역 273
 
5.0%
시 273
 
5.0%
진 273
 
5.0%
구 273
 
5.0%
동 273
 
5.0%
1 212
 
3.9%
Other values (34) 1635
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3284
60.4%
Decimal Number 1120
 
20.6%
Space Separator 819
 
15.1%
Dash Punctuation 211
 
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 583
17.8%
산 550
16.7%
광 273
8.3%
역 273
8.3%
시 273
8.3%
진 273
8.3%
구 273
8.3%
동 273
8.3%
전 52
 
1.6%
개 41
 
1.2%
Other values (19) 420
12.8%
Decimal Number
ValueCountFrequency (%)
1 212
18.9%
3 128
11.4%
5 117
10.4%
2 116
10.4%
4 109
9.7%
6 106
9.5%
7 93
8.3%
9 83
 
7.4%
8 83
 
7.4%
0 73
 
6.5%
Space Separator
ValueCountFrequency (%)
819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
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 3284
60.4%
Common 2153
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 583
17.8%
산 550
16.7%
광 273
8.3%
역 273
8.3%
시 273
8.3%
진 273
8.3%
구 273
8.3%
동 273
8.3%
전 52
 
1.6%
개 41
 
1.2%
Other values (19) 420
12.8%
Common
ValueCountFrequency (%)
819
38.0%
1 212
 
9.8%
- 211
 
9.8%
3 128
 
5.9%
5 117
 
5.4%
2 116
 
5.4%
4 109
 
5.1%
6 106
 
4.9%
7 93
 
4.3%
9 83
 
3.9%
Other values (5) 159
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3284
60.4%
ASCII 2153
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
819
38.0%
1 212
 
9.8%
- 211
 
9.8%
3 128
 
5.9%
5 117
 
5.4%
2 116
 
5.4%
4 109
 
5.1%
6 106
 
4.9%
7 93
 
4.3%
9 83
 
3.9%
Other values (5) 159
 
7.4%
Hangul
ValueCountFrequency (%)
부 583
17.8%
산 550
16.7%
광 273
8.3%
역 273
8.3%
시 273
8.3%
진 273
8.3%
구 273
8.3%
동 273
8.3%
전 52
 
1.6%
개 41
 
1.2%
Other values (19) 420
12.8%

전화번호
Text

MISSING 

Distinct244
Distinct (%)99.2%
Missing27
Missing (%)9.9%
Memory size2.3 KiB
2024-03-16T06:46:12.601030image/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%
2024-03-16T06:46:14.030688image/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

2024-03-16T06:46:00.605286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T06:46:14.373992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.995
동명0.9951.000
2024-03-16T06:46:14.738812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.863
동명0.8631.000

Missing values

2024-03-16T06:46:01.414757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T06:46:01.973979image/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
263264범천2동대한범천 노인회부산광역시 부산진구 신암로155번가길 15(범천동)부산광역시 부산진구 범천동 1119-19051-644-0226
264265범천2동선록 경로당부산광역시 부산진구 엄광로384번나길 20(범천동)부산광역시 부산진구 범천동 1126-21051-645-2257
265266범천2동할머니 경로당부산광역시 부산진구 신암로99번길 37(범천동)부산광역시 부산진구 범천동 1616-42051-631-7362
266267범천2동로얄아파트경로당부산광역시 부산진구 엄광로 392 (범천동,로얄아파트)부산광역시 부산진구 범천동 1127051-635-6786
267268범천2동선인경로당부산광역시 부산진구 만리산로79번길 14 (범천동)부산광역시 부산진구 범천동 1243-28051-647-3385
268269범천2동서면e편한세상아파트경로당부산광역시 부산진구 가야대로 702 (범천동,서면e편한세상아파트)부산광역시 부산진구 범천동 1054051-804-9978
269270범천2동서면엘리시안아파트경로당부산광역시 부산진구 만리산로 11(범천동,서면DS협성엘리시안아파트)부산광역시 부산진구 범천동 1647051-636-1237
270271범천2동안창마을 경로당부산광역시 부산진구 안창로72번길 17(범천동)부산광역시 부산진구 범천동 1540-1051-638-6738
271272범천2동범천양지경로당부산광역시 부산진구 만리산로5번길 24(범천동)부산광역시 부산진구 범천동 1302-92051-633-2611
272273범천2동이편한세상서면더센트럴경로당부산광역시 부산진구 신암로 133 (범천동, 이편한세상서면더센트럴아파트)부산광역시 부산진구 범천동 1652<NA>