Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory71.7 B

Variable types

Numeric2
Text4
DateTime1
Categorical1

Dataset

Description부산광역시_북구_아동복지시설현황_20221013
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026029

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
신고일 has unique valuesUnique
시설장 has unique valuesUnique
전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:41:54.028188
Analysis finished2023-12-10 17:41:55.936826
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T02:41:56.068967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-11T02:41:56.343898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:41:56.830827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.6956522
Min length6

Characters and Unicode

Total characters223
Distinct characters75
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row반딧불이지역아동센터
2nd row낙동지역아동센터
3rd row샘물지역아동센터
4th row온누리지역아동센터
5th row해바라기지역아동센터
ValueCountFrequency (%)
반딧불이지역아동센터 1
 
4.3%
늘해랑지역아동센터 1
 
4.3%
다함께돌봄센터(율리아이꿈자람터 1
 
4.3%
다함께돌봄센터(만덕아이꿈자람터 1
 
4.3%
위즈맘그룹홈 1
 
4.3%
무지개그룹홈 1
 
4.3%
미네르바의집 1
 
4.3%
라온지역아동센터 1
 
4.3%
글로벌영재지역아동센터 1
 
4.3%
조은지역아동센터 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T02:41:57.628345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 24
 
10.8%
아 20
 
9.0%
센 20
 
9.0%
지 18
 
8.1%
동 18
 
8.1%
역 17
 
7.6%
꿈 4
 
1.8%
이 4
 
1.8%
람 3
 
1.3%
리 3
 
1.3%
Other values (65) 92
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
95.5%
Decimal Number 4
 
1.8%
Open Punctuation 3
 
1.3%
Close Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 24
 
11.3%
아 20
 
9.4%
센 20
 
9.4%
지 18
 
8.5%
동 18
 
8.5%
역 17
 
8.0%
꿈 4
 
1.9%
이 4
 
1.9%
람 3
 
1.4%
리 3
 
1.4%
Other values (60) 82
38.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 1
25.0%
8 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
95.5%
Common 10
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 24
 
11.3%
아 20
 
9.4%
센 20
 
9.4%
지 18
 
8.5%
동 18
 
8.5%
역 17
 
8.0%
꿈 4
 
1.9%
이 4
 
1.9%
람 3
 
1.4%
리 3
 
1.4%
Other values (60) 82
38.5%
Common
ValueCountFrequency (%)
( 3
30.0%
) 3
30.0%
1 2
20.0%
3 1
 
10.0%
8 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
95.5%
ASCII 10
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 24
 
11.3%
아 20
 
9.4%
센 20
 
9.4%
지 18
 
8.5%
동 18
 
8.5%
역 17
 
8.0%
꿈 4
 
1.9%
이 4
 
1.9%
람 3
 
1.4%
리 3
 
1.4%
Other values (60) 82
38.5%
ASCII
ValueCountFrequency (%)
( 3
30.0%
) 3
30.0%
1 2
20.0%
3 1
 
10.0%
8 1
 
10.0%

신고일
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1989-06-19 00:00:00
Maximum2020-11-16 00:00:00
2023-12-11T02:41:57.916214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:41:58.212033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

시설장
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:41:58.650906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row김현희
2nd row문숙희
3rd row전미순
4th row안순영
5th row김기만
ValueCountFrequency (%)
김현희 1
 
4.3%
오남희 1
 
4.3%
박희연 1
 
4.3%
제정미 1
 
4.3%
장예원 1
 
4.3%
김정화 1
 
4.3%
최중열 1
 
4.3%
서숙희 1
 
4.3%
박연희 1
 
4.3%
박선영 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T02:41:59.307992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
희 7
 
10.1%
김 5
 
7.2%
이 4
 
5.8%
영 3
 
4.3%
박 3
 
4.3%
정 3
 
4.3%
미 2
 
2.9%
연 2
 
2.9%
현 2
 
2.9%
숙 2
 
2.9%
Other values (33) 36
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
희 7
 
10.1%
김 5
 
7.2%
이 4
 
5.8%
영 3
 
4.3%
박 3
 
4.3%
정 3
 
4.3%
미 2
 
2.9%
연 2
 
2.9%
현 2
 
2.9%
숙 2
 
2.9%
Other values (33) 36
52.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
희 7
 
10.1%
김 5
 
7.2%
이 4
 
5.8%
영 3
 
4.3%
박 3
 
4.3%
정 3
 
4.3%
미 2
 
2.9%
연 2
 
2.9%
현 2
 
2.9%
숙 2
 
2.9%
Other values (33) 36
52.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
희 7
 
10.1%
김 5
 
7.2%
이 4
 
5.8%
영 3
 
4.3%
박 3
 
4.3%
정 3
 
4.3%
미 2
 
2.9%
연 2
 
2.9%
현 2
 
2.9%
숙 2
 
2.9%
Other values (33) 36
52.2%

운영주체
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
개인
16 
법인(위탁)
3 
법인(비영리)
2 
법인
 
1
법인(장선)
 
1

Length

Max length7
Median length2
Mean length3.1304348
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row법인
2nd row개인
3rd row개인
4th row법인(비영리)
5th row개인

Common Values

ValueCountFrequency (%)
개인 16
69.6%
법인(위탁) 3
 
13.0%
법인(비영리) 2
 
8.7%
법인 1
 
4.3%
법인(장선) 1
 
4.3%

Length

2023-12-11T02:41:59.604416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:41:59.828352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 16
69.6%
법인(위탁 3
 
13.0%
법인(비영리 2
 
8.7%
법인 1
 
4.3%
법인(장선 1
 
4.3%

정원
Real number (ℝ)

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.565217
Minimum5
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T02:42:00.063428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.4
Q119.5
median27
Q329
95-th percentile34.7
Maximum46
Range41
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.87707
Coefficient of variation (CV)0.36136745
Kurtosis1.6137332
Mean24.565217
Median Absolute Deviation (MAD)5
Skewness-0.27732418
Sum565
Variance78.802372
MonotonicityNot monotonic
2023-12-11T02:42:00.276514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
29 7
30.4%
19 4
17.4%
20 3
13.0%
5 2
 
8.7%
35 1
 
4.3%
46 1
 
4.3%
25 1
 
4.3%
27 1
 
4.3%
28 1
 
4.3%
23 1
 
4.3%
ValueCountFrequency (%)
5 2
 
8.7%
19 4
17.4%
20 3
13.0%
23 1
 
4.3%
25 1
 
4.3%
27 1
 
4.3%
28 1
 
4.3%
29 7
30.4%
32 1
 
4.3%
35 1
 
4.3%
ValueCountFrequency (%)
46 1
 
4.3%
35 1
 
4.3%
32 1
 
4.3%
29 7
30.4%
28 1
 
4.3%
27 1
 
4.3%
25 1
 
4.3%
23 1
 
4.3%
20 3
13.0%
19 4
17.4%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:42:00.671779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.086957
Min length12

Characters and Unicode

Total characters278
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

Unique23 ?
Unique (%)100.0%

Sample

1st row070-4261-8524
2nd row051-333-1848
3rd row051-337-3856
4th row051-343-4008
5th row051-333-1621
ValueCountFrequency (%)
070-4261-8524 1
 
4.3%
051-900-7303 1
 
4.3%
051-361-2657 1
 
4.3%
051-343-2200 1
 
4.3%
051-331-2505 1
 
4.3%
051-908-6617 1
 
4.3%
051-343-3866 1
 
4.3%
051-338-0924 1
 
4.3%
051-361-2558 1
 
4.3%
051-333-0509 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T02:42:01.277571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.5%
0 41
14.7%
3 41
14.7%
1 36
12.9%
5 33
11.9%
2 20
7.2%
4 15
 
5.4%
6 15
 
5.4%
8 14
 
5.0%
7 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
83.5%
Dash Punctuation 46
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
17.7%
3 41
17.7%
1 36
15.5%
5 33
14.2%
2 20
8.6%
4 15
 
6.5%
6 15
 
6.5%
8 14
 
6.0%
7 10
 
4.3%
9 7
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.5%
0 41
14.7%
3 41
14.7%
1 36
12.9%
5 33
11.9%
2 20
7.2%
4 15
 
5.4%
6 15
 
5.4%
8 14
 
5.0%
7 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.5%
0 41
14.7%
3 41
14.7%
1 36
12.9%
5 33
11.9%
2 20
7.2%
4 15
 
5.4%
6 15
 
5.4%
8 14
 
5.0%
7 10
 
3.6%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T02:42:01.683785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length28.73913
Min length21

Characters and Unicode

Total characters661
Distinct characters78
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 북구 금곡대로616번길 10-9(금곡동, 동원종합사회복지관 3층)
2nd row부산광역시 북구 백양대로 1127(구포동, 2층)
3rd row부산광역시 북구 화명대로94번길 14(화명동)
4th row부산광역시 북구 만덕대로39번길 48(덕천동)
5th row부산광역시 북구 만덕1로 49, 상가동 303호(만덕동, 만덕3휴먼시아아파트)
ValueCountFrequency (%)
북구 23
20.7%
부산광역시 22
19.8%
시랑로 4
 
3.6%
효열로 2
 
1.8%
2층 2
 
1.8%
덕천로234번길 2
 
1.8%
율리벽산블루밍1단지 1
 
0.9%
30 1
 
0.9%
구포동 1
 
0.9%
모분재로 1
 
0.9%
Other values (52) 52
46.8%
2023-12-11T02:42:02.416148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
13.5%
구 33
 
5.0%
동 29
 
4.4%
시 28
 
4.2%
산 24
 
3.6%
( 23
 
3.5%
로 23
 
3.5%
) 23
 
3.5%
북 23
 
3.5%
1 23
 
3.5%
Other values (68) 343
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
59.6%
Decimal Number 114
 
17.2%
Space Separator 89
 
13.5%
Open Punctuation 23
 
3.5%
Close Punctuation 23
 
3.5%
Other Punctuation 15
 
2.3%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 33
 
8.4%
동 29
 
7.4%
시 28
 
7.1%
산 24
 
6.1%
로 23
 
5.8%
북 23
 
5.8%
부 22
 
5.6%
광 22
 
5.6%
역 22
 
5.6%
덕 19
 
4.8%
Other values (53) 149
37.8%
Decimal Number
ValueCountFrequency (%)
1 23
20.2%
2 20
17.5%
3 19
16.7%
4 16
14.0%
0 12
10.5%
5 7
 
6.1%
6 6
 
5.3%
7 5
 
4.4%
9 4
 
3.5%
8 2
 
1.8%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
59.6%
Common 267
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 33
 
8.4%
동 29
 
7.4%
시 28
 
7.1%
산 24
 
6.1%
로 23
 
5.8%
북 23
 
5.8%
부 22
 
5.6%
광 22
 
5.6%
역 22
 
5.6%
덕 19
 
4.8%
Other values (53) 149
37.8%
Common
ValueCountFrequency (%)
89
33.3%
( 23
 
8.6%
) 23
 
8.6%
1 23
 
8.6%
2 20
 
7.5%
3 19
 
7.1%
4 16
 
6.0%
, 15
 
5.6%
0 12
 
4.5%
5 7
 
2.6%
Other values (5) 20
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
59.6%
ASCII 267
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
33.3%
( 23
 
8.6%
) 23
 
8.6%
1 23
 
8.6%
2 20
 
7.5%
3 19
 
7.1%
4 16
 
6.0%
, 15
 
5.6%
0 12
 
4.5%
5 7
 
2.6%
Other values (5) 20
 
7.5%
Hangul
ValueCountFrequency (%)
구 33
 
8.4%
동 29
 
7.4%
시 28
 
7.1%
산 24
 
6.1%
로 23
 
5.8%
북 23
 
5.8%
부 22
 
5.6%
광 22
 
5.6%
역 22
 
5.6%
덕 19
 
4.8%
Other values (53) 149
37.8%

Interactions

2023-12-11T02:41:55.114969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:41:54.736163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:41:55.266937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:41:54.936380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:42:02.627958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명신고일시설장운영주체정원전화번호주소
연번1.0001.0001.0001.0000.8460.6581.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
신고일1.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0001.000
운영주체0.8461.0001.0001.0001.0000.0001.0001.000
정원0.6581.0001.0001.0000.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T02:42:02.848821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원운영주체
연번1.000-0.3390.414
정원-0.3391.0000.000
운영주체0.4140.0001.000

Missing values

2023-12-11T02:41:55.525801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:41:55.829386image/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

연번시설명신고일시설장운영주체정원전화번호주소
01반딧불이지역아동센터2015-11-25김현희법인19070-4261-8524부산광역시 북구 금곡대로616번길 10-9(금곡동, 동원종합사회복지관 3층)
12낙동지역아동센터2005-12-16문숙희개인29051-333-1848부산광역시 북구 백양대로 1127(구포동, 2층)
23샘물지역아동센터2005-12-23전미순개인35051-337-3856부산광역시 북구 화명대로94번길 14(화명동)
34온누리지역아동센터2006-05-30안순영법인(비영리)29051-343-4008부산광역시 북구 만덕대로39번길 48(덕천동)
45해바라기지역아동센터2007-04-18김기만개인19051-333-1621부산광역시 북구 만덕1로 49, 상가동 303호(만덕동, 만덕3휴먼시아아파트)
56열린지역아동센터2007-11-09이명애개인29051-338-8534부산광역시 북구 은행나무로35번길 11(만덕동)
671318미래세대지역아동센터2020-08-01문동민법인(비영리)19051-341-4008부산광역시 북구 만덕대로65번길 63(덕천동)
78리틀스쿨지역아동센터2009-06-19이창송개인46051-331-8763부산광역시 북구 산성로 76-8(화명동)
89해오름지역아동센터2009-07-28이나경개인29051-336-2267부산광역시 북구 시랑로 122(구포동)
910윤슬지역아동센터2010-12-28신영하개인25051-581-2992부산광역시 북구 덕천로 133-1(덕천동)
연번시설명신고일시설장운영주체정원전화번호주소
1314구남지역아동센터2014-07-28김희주개인23070-4162-9002부산광역시 북구 구남언덕로 21(구포동)
1415조은지역아동센터2017-04-12박선영개인29051-333-0509부산광역시 북구 시랑로 72, 3층(구포동)
1516글로벌영재지역아동센터2017-05-18박연희개인32051-361-2558부산광역시 북구 금곡대로550번길 30, 2층202호(금곡동)
1617라온지역아동센터2018-01-18서숙희개인19051-338-0924부산광역시 북구 시랑로 21번길 44(구포동)
1718미네르바의집1989-06-19최중열법인(장선)29051-343-3866부산광역시 북구 시랑로114번길 45(구포동)
1819무지개그룹홈2008-05-26김정화개인5051-908-6617부산광역시 북구 덕천로234번길 34,203동 104호(만덕동,럭키아파트)
1920위즈맘그룹홈2019-07-05장예원개인5051-331-2505부산광역시 북구 덕천로234번길 34, 207동 302호(만덕동,럭키아파트)
2021다함께돌봄센터(만덕아이꿈자람터)2019-05-31제정미법인(위탁)20051-343-2200부산광역시 북구 만덕3로 14(만덕동)
2122다함께돌봄센터(율리아이꿈자람터)2020-09-01박희연법인(위탁)20051-361-2657부산광역시 북구 효열로 1(금곡동, 율리벽산블루밍1단지)
2223다함께돌봄센터(금곡아이꿈자람터)2020-11-16이현주법인(위탁)20051-715-2215부산광역시 북구 효열로 144(금곡동)