Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory76.9 B

Variable types

Categorical4
Text3
Numeric2

Dataset

Description부산광역시 노인돌봄기관 현황에 대한 데이터로 구군명, 기관명, 도로명주소, 전화번호, 노인맞춤돌봄서비스, 독거노인 및 장애인 응급안전안심서비스, 위도, 경도 데이터기준일자 항목정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15065819/fileData.do

Alerts

노인맞춤돌봄서비스 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 구군명High correlation
구군명 is highly overall correlated with 위도High correlation
기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:32:25.518195
Analysis finished2023-12-12 01:32:26.957192
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
사하구
5 
남구
4 
해운대구
4 
북구
4 
연제구
3 
Other values (12)
26 

Length

Max length5
Median length3
Mean length2.8043478
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row부산광역시
2nd row중구
3rd row서구
4th row서구
5th row동구

Common Values

ValueCountFrequency (%)
사하구 5
10.9%
남구 4
 
8.7%
해운대구 4
 
8.7%
북구 4
 
8.7%
연제구 3
 
6.5%
동래구 3
 
6.5%
금정구 3
 
6.5%
수영구 3
 
6.5%
사상구 3
 
6.5%
강서구 2
 
4.3%
Other values (7) 12
26.1%

Length

2023-12-12T10:32:27.031626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사하구 5
10.9%
해운대구 4
 
8.7%
북구 4
 
8.7%
남구 4
 
8.7%
금정구 3
 
6.5%
수영구 3
 
6.5%
사상구 3
 
6.5%
동래구 3
 
6.5%
연제구 3
 
6.5%
강서구 2
 
4.3%
Other values (7) 12
26.1%

기관명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:32:27.248181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.3043478
Min length7

Characters and Unicode

Total characters428
Distinct characters82
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row독거노인종합지원센터
2nd row중구노인복지관
3rd row서구종합사회복지관
4th row서구노인복지관
5th row동구노인복지관
ValueCountFrequency (%)
기장군노인복지관 2
 
4.3%
독거노인종합지원센터 1
 
2.1%
강서노인종합복지관 1
 
2.1%
인창노인복지센터 1
 
2.1%
사하중앙노인복지센터 1
 
2.1%
신장림사랑채노인복지관 1
 
2.1%
몰운대종합사회복지관 1
 
2.1%
구평종합사회복지관 1
 
2.1%
금정구노인복지관 1
 
2.1%
남광종합사회복지관 1
 
2.1%
Other values (36) 36
76.6%
2023-12-12T10:32:27.605379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 46
 
10.7%
복 37
 
8.6%
관 34
 
7.9%
인 32
 
7.5%
노 31
 
7.2%
구 18
 
4.2%
합 16
 
3.7%
사 16
 
3.7%
종 15
 
3.5%
센 13
 
3.0%
Other values (72) 170
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
99.8%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 46
 
10.8%
복 37
 
8.7%
관 34
 
8.0%
인 32
 
7.5%
노 31
 
7.3%
구 18
 
4.2%
합 16
 
3.7%
사 16
 
3.7%
종 15
 
3.5%
센 13
 
3.0%
Other values (71) 169
39.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 46
 
10.8%
복 37
 
8.7%
관 34
 
8.0%
인 32
 
7.5%
노 31
 
7.3%
구 18
 
4.2%
합 16
 
3.7%
사 16
 
3.7%
종 15
 
3.5%
센 13
 
3.0%
Other values (71) 169
39.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 46
 
10.8%
복 37
 
8.7%
관 34
 
8.0%
인 32
 
7.5%
노 31
 
7.3%
구 18
 
4.2%
합 16
 
3.7%
사 16
 
3.7%
종 15
 
3.5%
센 13
 
3.0%
Other values (71) 169
39.6%
ASCII
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:32:27.906784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length23.76087
Min length18

Characters and Unicode

Total characters1093
Distinct characters135
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

Unique46 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 중구로 71, 카톨릭센터 7층
2nd row부산광역시 중구 책방골목길 3-1(보수동1가)
3rd row부산광역시 서구 망양로193번길 104
4th row부산광역시 서구 장군산로 46번길 21(암남동)
5th row부산광역시 동구 홍곡중로5번길 24(수정동)
ValueCountFrequency (%)
부산광역시 46
 
22.7%
사하구 5
 
2.5%
북구 4
 
2.0%
남구 4
 
2.0%
해운대구 4
 
2.0%
연제구 3
 
1.5%
동래구 3
 
1.5%
금정구 3
 
1.5%
수영구 3
 
1.5%
사상구 3
 
1.5%
Other values (117) 125
61.6%
2023-12-12T10:32:28.355686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
14.5%
산 51
 
4.7%
부 48
 
4.4%
시 48
 
4.4%
광 47
 
4.3%
역 46
 
4.2%
구 46
 
4.2%
로 43
 
3.9%
1 41
 
3.8%
동 37
 
3.4%
Other values (125) 528
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
62.5%
Decimal Number 186
 
17.0%
Space Separator 158
 
14.5%
Open Punctuation 28
 
2.6%
Close Punctuation 28
 
2.6%
Dash Punctuation 6
 
0.5%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
 
7.5%
부 48
 
7.0%
시 48
 
7.0%
광 47
 
6.9%
역 46
 
6.7%
구 46
 
6.7%
로 43
 
6.3%
동 37
 
5.4%
대 27
 
4.0%
길 26
 
3.8%
Other values (110) 264
38.7%
Decimal Number
ValueCountFrequency (%)
1 41
22.0%
2 26
14.0%
3 23
12.4%
7 17
9.1%
4 16
 
8.6%
0 16
 
8.6%
9 14
 
7.5%
6 11
 
5.9%
8 11
 
5.9%
5 11
 
5.9%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
62.5%
Common 410
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 51
 
7.5%
부 48
 
7.0%
시 48
 
7.0%
광 47
 
6.9%
역 46
 
6.7%
구 46
 
6.7%
로 43
 
6.3%
동 37
 
5.4%
대 27
 
4.0%
길 26
 
3.8%
Other values (110) 264
38.7%
Common
ValueCountFrequency (%)
158
38.5%
1 41
 
10.0%
( 28
 
6.8%
) 28
 
6.8%
2 26
 
6.3%
3 23
 
5.6%
7 17
 
4.1%
4 16
 
3.9%
0 16
 
3.9%
9 14
 
3.4%
Other values (5) 43
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
62.5%
ASCII 410
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
38.5%
1 41
 
10.0%
( 28
 
6.8%
) 28
 
6.8%
2 26
 
6.3%
3 23
 
5.6%
7 17
 
4.1%
4 16
 
3.9%
0 16
 
3.9%
9 14
 
3.4%
Other values (5) 43
 
10.5%
Hangul
ValueCountFrequency (%)
산 51
 
7.5%
부 48
 
7.0%
시 48
 
7.0%
광 47
 
6.9%
역 46
 
6.7%
구 46
 
6.7%
로 43
 
6.3%
동 37
 
5.4%
대 27
 
4.0%
길 26
 
3.8%
Other values (110) 264
38.7%

전화번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:32:28.582700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021739
Min length12

Characters and Unicode

Total characters553
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

Unique46 ?
Unique (%)100.0%

Sample

1st row051-253-2590
2nd row051-241-2591
3rd row051-253-1922
4th row051-244-3541
5th row051-467-7887
ValueCountFrequency (%)
051-253-2590 1
 
2.2%
051-972-4851 1
 
2.2%
051-792-4788 1
 
2.2%
051-204-3472 1
 
2.2%
051-206-9106 1
 
2.2%
051-995-8515 1
 
2.2%
051-264-9034 1
 
2.2%
051-263-3045 1
 
2.2%
051-792-7200 1
 
2.2%
051-508-1997 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T10:32:28.932689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.6%
5 84
15.2%
0 82
14.8%
1 70
12.7%
2 44
8.0%
7 38
6.9%
3 32
 
5.8%
9 32
 
5.8%
8 30
 
5.4%
4 26
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 461
83.4%
Dash Punctuation 92
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 84
18.2%
0 82
17.8%
1 70
15.2%
2 44
9.5%
7 38
8.2%
3 32
 
6.9%
9 32
 
6.9%
8 30
 
6.5%
4 26
 
5.6%
6 23
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 553
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.6%
5 84
15.2%
0 82
14.8%
1 70
12.7%
2 44
8.0%
7 38
6.9%
3 32
 
5.8%
9 32
 
5.8%
8 30
 
5.4%
4 26
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.6%
5 84
15.2%
0 82
14.8%
1 70
12.7%
2 44
8.0%
7 38
6.9%
3 32
 
5.8%
9 32
 
5.8%
8 30
 
5.4%
4 26
 
4.7%

노인맞춤돌봄서비스
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
수행
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수행 46
100.0%

Length

2023-12-12T10:32:29.073761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:29.169182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수행 46
100.0%

독거노인 및 장애인 응급안전안심서비스
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
미수행
30 
수행
16 

Length

Max length3
Median length3
Mean length2.6521739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미수행
2nd row수행
3rd row수행
4th row미수행
5th row미수행

Common Values

ValueCountFrequency (%)
미수행 30
65.2%
수행 16
34.8%

Length

2023-12-12T10:32:29.285249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:29.414454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미수행 30
65.2%
수행 16
34.8%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.161698
Minimum35.051228
Maximum35.293396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T10:32:29.571431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051228
5-th percentile35.075315
Q135.114524
median35.161808
Q335.203091
95-th percentile35.260054
Maximum35.293396
Range0.2421672
Interquartile range (IQR)0.088566135

Descriptive statistics

Standard deviation0.057945495
Coefficient of variation (CV)0.001647972
Kurtosis-0.5078814
Mean35.161698
Median Absolute Deviation (MAD)0.04406645
Skewness0.23075028
Sum1617.4381
Variance0.0033576804
MonotonicityNot monotonic
2023-12-12T10:32:29.713884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
35.10435457 1
 
2.2%
35.18847696 1
 
2.2%
35.10375837 1
 
2.2%
35.07508578 1
 
2.2%
35.05122843 1
 
2.2%
35.08563822 1
 
2.2%
35.27917441 1
 
2.2%
35.29339563 1
 
2.2%
35.2376 1
 
2.2%
35.20732663 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
35.05122843 1
2.2%
35.07312369 1
2.2%
35.07508578 1
2.2%
35.07600143 1
2.2%
35.08563822 1
2.2%
35.09133006 1
2.2%
35.10369515 1
2.2%
35.10375837 1
2.2%
35.10414052 1
2.2%
35.10435457 1
2.2%
ValueCountFrequency (%)
35.29339563 1
2.2%
35.27917441 1
2.2%
35.26753833 1
2.2%
35.2376 1
2.2%
35.2372741 1
2.2%
35.23029233 1
2.2%
35.22680531 1
2.2%
35.21803874 1
2.2%
35.21238058 1
2.2%
35.20902467 1
2.2%

경도
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05721
Minimum128.92304
Maximum129.23673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T10:32:29.850665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.92304
5-th percentile128.97418
Q1129.01092
median129.06518
Q3129.09832
95-th percentile129.15088
Maximum129.23673
Range0.3136929
Interquartile range (IQR)0.087401275

Descriptive statistics

Standard deviation0.061375387
Coefficient of variation (CV)0.00047556728
Kurtosis0.51571004
Mean129.05721
Median Absolute Deviation (MAD)0.0418753
Skewness0.38078481
Sum5936.6318
Variance0.0037669382
MonotonicityNot monotonic
2023-12-12T10:32:30.001223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
129.0285769 1
 
2.2%
129.0707024 1
 
2.2%
128.9809435 1
 
2.2%
128.9763234 1
 
2.2%
128.9635537 1
 
2.2%
128.9867137 1
 
2.2%
129.0847903 1
 
2.2%
129.1000092 1
 
2.2%
129.0909052 1
 
2.2%
128.9734691 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
128.9230396 1
2.2%
128.9635537 1
2.2%
128.9734691 1
2.2%
128.9763234 1
2.2%
128.9809435 1
2.2%
128.9867137 1
2.2%
128.9947789 1
2.2%
128.9948438 1
2.2%
128.9978728 1
2.2%
129.0018709 1
2.2%
ValueCountFrequency (%)
129.2367325 1
2.2%
129.1787854 1
2.2%
129.1586641 1
2.2%
129.1275334 1
2.2%
129.1237772 1
2.2%
129.1134862 1
2.2%
129.1112884 1
2.2%
129.1111735 1
2.2%
129.1048646 1
2.2%
129.1027986 1
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-01-01
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 46
100.0%

Length

2023-12-12T10:32:30.152198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:30.253363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 46
100.0%

Interactions

2023-12-12T10:32:26.182028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:32:25.950770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:32:26.607064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:32:26.047253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:32:30.312611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군명기관명도로명주소전화번호독거노인 및 장애인 응급안전안심서비스위도경도
구군명1.0001.0001.0001.0000.0000.8780.708
기관명1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
독거노인 및 장애인 응급안전안심서비스0.0001.0001.0001.0001.0000.0000.000
위도0.8781.0001.0001.0000.0001.0000.608
경도0.7081.0001.0001.0000.0000.6081.000
2023-12-12T10:32:30.419533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
독거노인 및 장애인 응급안전안심서비스구군명
독거노인 및 장애인 응급안전안심서비스1.0000.000
구군명0.0001.000
2023-12-12T10:32:30.531765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구군명독거노인 및 장애인 응급안전안심서비스
위도1.0000.4300.5310.000
경도0.4301.0000.3230.000
구군명0.5310.3231.0000.000
독거노인 및 장애인 응급안전안심서비스0.0000.0000.0001.000

Missing values

2023-12-12T10:32:26.762651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:32:26.904253image/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

구군명기관명도로명주소전화번호노인맞춤돌봄서비스독거노인 및 장애인 응급안전안심서비스위도경도데이터기준일자
0부산광역시독거노인종합지원센터부산광역시 중구 중구로 71, 카톨릭센터 7층051-253-2590수행미수행35.104355129.0285772023-01-01
1중구중구노인복지관부산광역시 중구 책방골목길 3-1(보수동1가)051-241-2591수행수행35.104141129.0261832023-01-01
2서구서구종합사회복지관부산광역시 서구 망양로193번길 104051-253-1922수행수행35.111179129.0263592023-01-01
3서구서구노인복지관부산광역시 서구 장군산로 46번길 21(암남동)051-244-3541수행미수행35.073124129.0143472023-01-01
4동구동구노인복지관부산광역시 동구 홍곡중로5번길 24(수정동)051-467-7887수행미수행35.125806129.0404222023-01-01
5동구동구자성대노인복지관부산광역시 동구 자성로140번길 32(범일동)051-632-7597수행수행35.135644129.0648412023-01-01
6영도구영도구노인복지관부산광역시 영도구 절영로 29번길 14(대교동2가)051-417-6344수행수행35.09133129.0400932023-01-01
7영도구와치종합사회복지관부산광역시 영도구 함지로 79번길 76(동삼동)051-403-4200수행미수행35.076001129.0655232023-01-01
8진구진구노인복지관부산광역시 부산진구 전포대로 300번길 6(전포동)051-808-8090수행수행35.164047129.0658482023-01-01
9진구다사랑복합문화예술회관부산광역시 부산진구 대학로 60(가야동)051-898-1746수행미수행35.150438129.0344582023-01-01
구군명기관명도로명주소전화번호노인맞춤돌봄서비스독거노인 및 장애인 응급안전안심서비스위도경도데이터기준일자
36연제구연제지역자활센터부산광역시 연제구 봉수로17(연산동)051-853-8279수행미수행35.172729129.0889062023-01-01
37연제구연제구노인복지관부산광역시 연제구 고분로 188(연산동)070-7039-9359수행미수행35.185367129.1027992023-01-01
38수영구수영구노인복지관부산광역시 수영구 황령대로489번길 83051-759-6070수행수행35.14005129.1111742023-01-01
39수영구수영재가노인지원서비스센터부산광역시 수영구 연수로 375 4층051-912-7275수행미수행35.170254129.1112882023-01-01
40수영구광안노인복지관부산광역시 수영구 장대골로 75-8051-715-6099수행미수행35.159569129.1048652023-01-01
41사상구모라종합사회복지관부산광역시 사상구 모라로 110번길 129051-304-9878수행미수행35.184944128.9978732023-01-01
42사상구사상구종합사회복지관부산광역시 사상구 백양대로 527051-710-2232수행미수행35.155431128.9947792023-01-01
43사상구사상구노인복지관부산광역시 사상구 가야대로196번길 51, 다누림센터 5층051-325-7555수행수행35.147255128.9948442023-01-01
44기장군기장군노인복지관부산광역시 기장읍 대청로 22번길 61051-792-4788수행수행35.179928129.0750912023-01-01
45기장군기장군노인복지관 일광분관부산광역시 기장군 일광면 이천8길 13051-792-4915수행미수행35.267538129.2367322023-01-01