Overview

Dataset statistics

Number of variables12
Number of observations150
Missing cells48
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory98.9 B

Variable types

Categorical5
Text2
Numeric2
Boolean2
DateTime1

Dataset

Description부산광역시 동래구 관내 경로당 현황에 대한 데이터로 시설유형, 시설종류, 시설명, 시설소재지, 운영주체구분, 입소정원, 정부양곡구입여부, 보조급지급여부, 신고일자, 영업상태 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/3079128/fileData.do

Alerts

관리시군구 has constant value ""Constant
시설유형 has constant value ""Constant
시설종류 has constant value ""Constant
영업상태 has constant value ""Constant
보조금지급여부 is highly imbalanced (78.4%)Imbalance
시설소재지 우편번호 has 4 (2.7%) missing valuesMissing
입소정원 has 34 (22.7%) missing valuesMissing
정부양곡구입여부 has 5 (3.3%) missing valuesMissing
보조금지급여부 has 5 (3.3%) missing valuesMissing
입소정원 has 3 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 03:39:42.236931
Analysis finished2023-12-12 03:39:43.562901
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
부산광역시 동래구청
150 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동래구청
2nd row부산광역시 동래구청
3rd row부산광역시 동래구청
4th row부산광역시 동래구청
5th row부산광역시 동래구청

Common Values

ValueCountFrequency (%)
부산광역시 동래구청 150
100.0%

Length

2023-12-12T12:39:43.634826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:43.738010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 150
50.0%
동래구청 150
50.0%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노인여가복지시설
150 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인여가복지시설 150
100.0%

Length

2023-12-12T12:39:43.839627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:43.930918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인여가복지시설 150
100.0%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경로당
150 

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 150
100.0%

Length

2023-12-12T12:39:44.029808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:44.152721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 150
100.0%

시설명
Text

Distinct149
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T12:39:44.383831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.3733333
Min length5

Characters and Unicode

Total characters1256
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)98.7%

Sample

1st row온천3동새마을경로당
2nd row제일아파트경로당
3rd row동래 벽산아파트 노인정
4th row명장2동할아버지경로당
5th row삼정그린코아1차경로당
ValueCountFrequency (%)
경로당 5
 
3.0%
sk 2
 
1.2%
노인정 2
 
1.2%
우성아파트경로당 2
 
1.2%
여명 2
 
1.2%
아림파크경로당 1
 
0.6%
협진태양아파트경로당 1
 
0.6%
열화정경로당 1
 
0.6%
원리부녀경로당 1
 
0.6%
안락현대아파트경로당 1
 
0.6%
Other values (147) 147
89.1%
2023-12-12T12:39:44.924825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 129
 
10.3%
경 129
 
10.3%
로 128
 
10.2%
아 54
 
4.3%
동 34
 
2.7%
파 33
 
2.6%
트 32
 
2.5%
할 30
 
2.4%
정 27
 
2.1%
인 23
 
1.8%
Other values (164) 637
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1193
95.0%
Decimal Number 23
 
1.8%
Uppercase Letter 17
 
1.4%
Space Separator 15
 
1.2%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 129
 
10.8%
경 129
 
10.8%
로 128
 
10.7%
아 54
 
4.5%
동 34
 
2.8%
파 33
 
2.8%
트 32
 
2.7%
할 30
 
2.5%
정 27
 
2.3%
인 23
 
1.9%
Other values (150) 574
48.1%
Uppercase Letter
ValueCountFrequency (%)
K 4
23.5%
S 3
17.6%
E 2
11.8%
C 2
11.8%
W 2
11.8%
I 2
11.8%
V 2
11.8%
Decimal Number
ValueCountFrequency (%)
2 13
56.5%
1 7
30.4%
3 3
 
13.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1193
95.0%
Common 44
 
3.5%
Latin 19
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 129
 
10.8%
경 129
 
10.8%
로 128
 
10.7%
아 54
 
4.5%
동 34
 
2.8%
파 33
 
2.8%
트 32
 
2.7%
할 30
 
2.5%
정 27
 
2.3%
인 23
 
1.9%
Other values (150) 574
48.1%
Latin
ValueCountFrequency (%)
K 4
21.1%
S 3
15.8%
E 2
10.5%
C 2
10.5%
W 2
10.5%
I 2
10.5%
V 2
10.5%
e 2
10.5%
Common
ValueCountFrequency (%)
15
34.1%
2 13
29.5%
1 7
15.9%
) 3
 
6.8%
( 3
 
6.8%
3 3
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1193
95.0%
ASCII 63
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 129
 
10.8%
경 129
 
10.8%
로 128
 
10.7%
아 54
 
4.5%
동 34
 
2.8%
파 33
 
2.8%
트 32
 
2.7%
할 30
 
2.5%
정 27
 
2.3%
인 23
 
1.9%
Other values (150) 574
48.1%
ASCII
ValueCountFrequency (%)
15
23.8%
2 13
20.6%
1 7
11.1%
K 4
 
6.3%
S 3
 
4.8%
) 3
 
4.8%
( 3
 
4.8%
3 3
 
4.8%
E 2
 
3.2%
C 2
 
3.2%
Other values (4) 8
12.7%

시설소재지 우편번호
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)69.2%
Missing4
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean47811.226
Minimum47704
Maximum47905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T12:39:45.134423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47704
5-th percentile47718
Q147758
median47809.5
Q347868
95-th percentile47900
Maximum47905
Range201
Interquartile range (IQR)110

Descriptive statistics

Standard deviation60.412692
Coefficient of variation (CV)0.0012635671
Kurtosis-1.2856124
Mean47811.226
Median Absolute Deviation (MAD)54.5
Skewness-0.082281291
Sum6980439
Variance3649.6934
MonotonicityNot monotonic
2023-12-12T12:39:45.336271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47842 3
 
2.0%
47885 3
 
2.0%
47905 3
 
2.0%
47783 3
 
2.0%
47871 3
 
2.0%
47718 3
 
2.0%
47758 3
 
2.0%
47760 3
 
2.0%
47872 2
 
1.3%
47750 2
 
1.3%
Other values (91) 118
78.7%
(Missing) 4
 
2.7%
ValueCountFrequency (%)
47704 1
 
0.7%
47706 2
1.3%
47707 1
 
0.7%
47709 1
 
0.7%
47711 1
 
0.7%
47712 1
 
0.7%
47718 3
2.0%
47719 1
 
0.7%
47721 1
 
0.7%
47723 1
 
0.7%
ValueCountFrequency (%)
47905 3
2.0%
47904 1
 
0.7%
47903 1
 
0.7%
47902 2
1.3%
47901 1
 
0.7%
47897 1
 
0.7%
47896 1
 
0.7%
47894 2
1.3%
47893 2
1.3%
47892 1
 
0.7%

시설소재지 주소
Text

Distinct135
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T12:39:45.628880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length28.84
Min length19

Characters and Unicode

Total characters4326
Distinct characters157
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)80.0%

Sample

1st row부산광역시 동래구 여고북로 3 (온천동)
2nd row부산광역시 동래구 충렬대로202번길 77 (수안동)
3rd row부산광역시 동래구 안남로 47 (낙민동)
4th row부산광역시 동래구 명서로105번길 74 (명장동)
5th row부산광역시 동래구 쇠미로 37 (사직동)
ValueCountFrequency (%)
부산광역시 150
18.9%
동래구 150
18.9%
온천동 27
 
3.4%
사직동 25
 
3.1%
안락동 22
 
2.8%
명장동 15
 
1.9%
낙민동 14
 
1.8%
명륜동 12
 
1.5%
안남로 6
 
0.8%
수안동 6
 
0.8%
Other values (264) 368
46.3%
2023-12-12T12:39:46.317485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
645
 
14.9%
동 328
 
7.6%
시 165
 
3.8%
래 164
 
3.8%
산 160
 
3.7%
부 151
 
3.5%
광 150
 
3.5%
역 150
 
3.5%
구 150
 
3.5%
1 150
 
3.5%
Other values (147) 2113
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2683
62.0%
Space Separator 645
 
14.9%
Decimal Number 644
 
14.9%
Open Punctuation 145
 
3.4%
Close Punctuation 145
 
3.4%
Other Punctuation 56
 
1.3%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 328
 
12.2%
시 165
 
6.1%
래 164
 
6.1%
산 160
 
6.0%
부 151
 
5.6%
광 150
 
5.6%
역 150
 
5.6%
구 150
 
5.6%
로 144
 
5.4%
길 91
 
3.4%
Other values (127) 1030
38.4%
Decimal Number
ValueCountFrequency (%)
1 150
23.3%
3 87
13.5%
2 78
12.1%
4 69
10.7%
9 53
 
8.2%
5 48
 
7.5%
0 45
 
7.0%
7 40
 
6.2%
8 39
 
6.1%
6 35
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
V 1
12.5%
I 1
12.5%
E 1
12.5%
W 1
12.5%
Space Separator
ValueCountFrequency (%)
645
100.0%
Open Punctuation
ValueCountFrequency (%)
( 145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2683
62.0%
Common 1635
37.8%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 328
 
12.2%
시 165
 
6.1%
래 164
 
6.1%
산 160
 
6.0%
부 151
 
5.6%
광 150
 
5.6%
역 150
 
5.6%
구 150
 
5.6%
로 144
 
5.4%
길 91
 
3.4%
Other values (127) 1030
38.4%
Common
ValueCountFrequency (%)
645
39.4%
1 150
 
9.2%
( 145
 
8.9%
) 145
 
8.9%
3 87
 
5.3%
2 78
 
4.8%
4 69
 
4.2%
, 56
 
3.4%
9 53
 
3.2%
5 48
 
2.9%
Other values (4) 159
 
9.7%
Latin
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
V 1
12.5%
I 1
12.5%
E 1
12.5%
W 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2683
62.0%
ASCII 1643
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
645
39.3%
1 150
 
9.1%
( 145
 
8.8%
) 145
 
8.8%
3 87
 
5.3%
2 78
 
4.7%
4 69
 
4.2%
, 56
 
3.4%
9 53
 
3.2%
5 48
 
2.9%
Other values (10) 167
 
10.2%
Hangul
ValueCountFrequency (%)
동 328
 
12.2%
시 165
 
6.1%
래 164
 
6.1%
산 160
 
6.0%
부 151
 
5.6%
광 150
 
5.6%
역 150
 
5.6%
구 150
 
5.6%
로 144
 
5.4%
길 91
 
3.4%
Other values (127) 1030
38.4%

운영주체구분
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개인
108 
행정기관
37 
<NA>
 
5

Length

Max length4
Median length2
Mean length2.56
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행정기관
2nd row개인
3rd row개인
4th row행정기관
5th row개인

Common Values

ValueCountFrequency (%)
개인 108
72.0%
행정기관 37
 
24.7%
<NA> 5
 
3.3%

Length

2023-12-12T12:39:46.560392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:46.747483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 108
72.0%
행정기관 37
 
24.7%
na 5
 
3.3%

입소정원
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)33.6%
Missing34
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean33.198276
Minimum0
Maximum154
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T12:39:46.968579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q123
median29
Q339.25
95-th percentile62
Maximum154
Range154
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation20.061739
Coefficient of variation (CV)0.60430064
Kurtosis15.156711
Mean33.198276
Median Absolute Deviation (MAD)7
Skewness3.2117087
Sum3851
Variance402.47339
MonotonicityNot monotonic
2023-12-12T12:39:47.161633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 13
 
8.7%
30 12
 
8.0%
25 12
 
8.0%
23 6
 
4.0%
40 6
 
4.0%
21 5
 
3.3%
22 5
 
3.3%
33 4
 
2.7%
0 3
 
2.0%
27 3
 
2.0%
Other values (29) 47
31.3%
(Missing) 34
22.7%
ValueCountFrequency (%)
0 3
 
2.0%
14 1
 
0.7%
16 1
 
0.7%
20 13
8.7%
21 5
 
3.3%
22 5
 
3.3%
23 6
4.0%
24 2
 
1.3%
25 12
8.0%
26 2
 
1.3%
ValueCountFrequency (%)
154 1
0.7%
129 1
0.7%
88 1
0.7%
80 1
0.7%
76 1
0.7%
71 1
0.7%
59 1
0.7%
58 1
0.7%
53 1
0.7%
50 2
1.3%

정부양곡구입여부
Boolean

MISSING 

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.3%
Memory size432.0 B
False
95 
True
50 
(Missing)
 
5
ValueCountFrequency (%)
False 95
63.3%
True 50
33.3%
(Missing) 5
 
3.3%
2023-12-12T12:39:47.299650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보조금지급여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.4%
Missing5
Missing (%)3.3%
Memory size432.0 B
True
140 
False
 
5
(Missing)
 
5
ValueCountFrequency (%)
True 140
93.3%
False 5
 
3.3%
(Missing) 5
 
3.3%
2023-12-12T12:39:47.752573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신고일자
Date

Distinct121
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1983-01-10 00:00:00
Maximum2022-08-01 00:00:00
2023-12-12T12:39:47.916496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:48.097670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
운영
150 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 150
100.0%

Length

2023-12-12T12:39:48.296616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:48.440052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 150
100.0%

Interactions

2023-12-12T12:39:42.966555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:42.729680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:43.076170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:42.861116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:39:48.523340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설소재지 우편번호운영주체구분입소정원정부양곡구입여부보조금지급여부
시설소재지 우편번호1.0000.2000.2120.0000.311
운영주체구분0.2001.0000.0000.4990.000
입소정원0.2120.0001.0000.3150.000
정부양곡구입여부0.0000.4990.3151.0000.000
보조금지급여부0.3110.0000.0000.0001.000
2023-12-12T12:39:48.662049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보조금지급여부운영주체구분정부양곡구입여부
보조금지급여부1.0000.0000.000
운영주체구분0.0001.0000.332
정부양곡구입여부0.0000.3321.000
2023-12-12T12:39:48.798045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설소재지 우편번호입소정원운영주체구분정부양곡구입여부보조금지급여부
시설소재지 우편번호1.0000.1190.1260.0000.229
입소정원0.1191.0000.0000.2290.000
운영주체구분0.1260.0001.0000.3320.000
정부양곡구입여부0.0000.2290.3321.0000.000
보조금지급여부0.2290.0000.0000.0001.000

Missing values

2023-12-12T12:39:43.219210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:39:43.379280image/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.
2023-12-12T12:39:43.496491image/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

관리시군구시설유형시설종류시설명시설소재지 우편번호시설소재지 주소운영주체구분입소정원정부양곡구입여부보조금지급여부신고일자영업상태
0부산광역시 동래구청노인여가복지시설경로당온천3동새마을경로당47839부산광역시 동래구 여고북로 3 (온천동)행정기관40YY1989-05-20운영
1부산광역시 동래구청노인여가복지시설경로당제일아파트경로당47819부산광역시 동래구 충렬대로202번길 77 (수안동)개인20NY1989-04-22운영
2부산광역시 동래구청노인여가복지시설경로당동래 벽산아파트 노인정47893부산광역시 동래구 안남로 47 (낙민동)개인22NY1997-06-13운영
3부산광역시 동래구청노인여가복지시설경로당명장2동할아버지경로당47760부산광역시 동래구 명서로105번길 74 (명장동)행정기관20NY2000-12-21운영
4부산광역시 동래구청노인여가복지시설경로당삼정그린코아1차경로당47873부산광역시 동래구 쇠미로 37 (사직동)개인33NY2001-05-28운영
5부산광역시 동래구청노인여가복지시설경로당석사할머니경로당47856부산광역시 동래구 사직북로48번길 363 (사직동)행정기관20NY2004-02-20운영
6부산광역시 동래구청노인여가복지시설경로당동남타워노인정47749부산광역시 동래구 시실로 156 (명장동)개인0NY2004-05-01운영
7부산광역시 동래구청노인여가복지시설경로당동부산아이존빌아파트경로당47896부산광역시 동래구 충렬대로428번길 49 (안락동)개인45YY2004-10-27운영
8부산광역시 동래구청노인여가복지시설경로당온천삼정그린코아경로당47870부산광역시 동래구 쇠미로129번길 91, 102동 102호 (온천동,102)<NA>46<NA><NA>2004-12-10운영
9부산광역시 동래구청노인여가복지시설경로당수안경로당47884부산광역시 동래구 수안로 18 (수안동)행정기관28NY2004-12-10운영
관리시군구시설유형시설종류시설명시설소재지 우편번호시설소재지 주소운영주체구분입소정원정부양곡구입여부보조금지급여부신고일자영업상태
140부산광역시 동래구청노인여가복지시설경로당힐스테이트명륜경로당47744부산광역시 동래구 명륜로 222 (명륜동)개인<NA>YN2020-07-14운영
141부산광역시 동래구청노인여가복지시설경로당쇠미경로당47872부산광역시 동래구 쇠미로71번길 435 (사직동)개인<NA>YY2016-11-24운영
142부산광역시 동래구청노인여가복지시설경로당용산경로당47755부산광역시 동래구 동래로215번길 7 (안락동)개인<NA>YY2013-06-25운영
143부산광역시 동래구청노인여가복지시설경로당e편한세상 동래아시아드 경로당47839부산광역시 동래구 아시아드대로 202 (온천동)개인<NA>YY2021-08-05운영
144부산광역시 동래구청노인여가복지시설경로당학산경로당47806부산광역시 동래구 칠산로39번가길 6010 (칠산동)개인<NA>YY2011-12-20운영
145부산광역시 동래구청노인여가복지시설경로당포레나동래경로당47885부산광역시 동래구 온천천로339번길 51, 102동 1층 (낙민동, 포레나동래아파트)개인50YY2022-04-21운영
146부산광역시 동래구청노인여가복지시설경로당아시아드경로당47844부산광역시 동래구 아시아드대로134번길 14, 102동 (사직동, 쌍용더플래티넘사직아시아드아파트)개인40NY2022-04-28운영
147부산광역시 동래구청노인여가복지시설경로당동래행복주택 경로당47892부산광역시 동래구 반송로 164 (낙민동, 동래행복주택)개인25YY2022-05-20운영
148부산광역시 동래구청노인여가복지시설경로당사직2차쌍용예가경로당47862부산광역시 동래구 쇠미로40번길 55 (사직동, 사직2차 쌍용예가)개인<NA>YY2014-02-01운영
149부산광역시 동래구청노인여가복지시설경로당포레스트경로당47869부산광역시 동래구 쇠미로 153 (온천동)개인<NA>YY2022-08-01운영