Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory70.3 B

Variable types

Numeric2
Text4
Boolean1
Categorical1

Dataset

Description서울특별시 양천구 주야간보호시설현황 데이터 입니다.기관명, 소재지, 기관전화번호, 대표자명, 정원, 차량지원여부 데이터를 제공합니다.
Author서울특별시 양천구
URLhttps://www.data.go.kr/data/15112338/fileData.do

Alerts

차량지원여부 has constant value ""Constant
연번 has unique valuesUnique
기관명 has unique valuesUnique
소재지 has unique valuesUnique
기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:45:13.624989
Analysis finished2024-03-14 11:45:15.666076
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T20:45:15.843813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-14T20:45:16.246804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

기관명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T20:45:17.096933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18.5
Mean length12.466667
Min length8

Characters and Unicode

Total characters374
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row목동실버데이케어센터
2nd row알콩달콩데이케어센터
3rd row나이팅게일데이케어센터
4th row가가호호데이케어센터
5th row아리아케어 주야간보호 신월센터
ValueCountFrequency (%)
데이케어센터 2
 
5.0%
목동실버데이케어센터 1
 
2.5%
에이원데이케어센터 1
 
2.5%
새마음데이케어센터 1
 
2.5%
늘봄데이케어센터 1
 
2.5%
밝은샘주간보호센터 1
 
2.5%
구립양천데이케어센터 1
 
2.5%
연세휴데이케어센터 1
 
2.5%
사랑초 1
 
2.5%
서서울어르신복지관병설서서울데이케어센터 1
 
2.5%
Other values (29) 29
72.5%
2024-03-14T20:45:18.369001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 32
 
8.6%
터 32
 
8.6%
이 31
 
8.3%
어 31
 
8.3%
케 29
 
7.8%
데 27
 
7.2%
목 11
 
2.9%
10
 
2.7%
동 10
 
2.7%
사 6
 
1.6%
Other values (82) 155
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
95.7%
Space Separator 10
 
2.7%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Math Symbol 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 32
 
8.9%
터 32
 
8.9%
이 31
 
8.7%
어 31
 
8.7%
케 29
 
8.1%
데 27
 
7.5%
목 11
 
3.1%
동 10
 
2.8%
사 6
 
1.7%
신 6
 
1.7%
Other values (77) 143
39.9%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
95.7%
Common 15
 
4.0%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 32
 
8.9%
터 32
 
8.9%
이 31
 
8.7%
어 31
 
8.7%
케 29
 
8.1%
데 27
 
7.5%
목 11
 
3.1%
동 10
 
2.8%
사 6
 
1.7%
신 6
 
1.7%
Other values (77) 143
39.9%
Common
ValueCountFrequency (%)
10
66.7%
( 2
 
13.3%
) 2
 
13.3%
+ 1
 
6.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
95.7%
ASCII 16
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 32
 
8.9%
터 32
 
8.9%
이 31
 
8.7%
어 31
 
8.7%
케 29
 
8.1%
데 27
 
7.5%
목 11
 
3.1%
동 10
 
2.8%
사 6
 
1.7%
신 6
 
1.7%
Other values (77) 143
39.9%
ASCII
ValueCountFrequency (%)
10
62.5%
( 2
 
12.5%
) 2
 
12.5%
+ 1
 
6.2%
A 1
 
6.2%

소재지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T20:45:19.283400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length29.733333
Min length22

Characters and Unicode

Total characters892
Distinct characters67
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 목동중앙로3길 21 (목동, 목동실버복지문화센터)
2nd row서울특별시 양천구 월정로 145, 3층 (신월동)
3rd row서울특별시 양천구 신월로 304, 5층 (신정동)
4th row서울특별시 양천구 월정로 39, 2층 (신월동)
5th row서울특별시 양천구 가로공원로 146, 3층 (신월동)
ValueCountFrequency (%)
서울특별시 30
16.6%
양천구 30
16.6%
신월동 13
 
7.2%
신정동 10
 
5.5%
2층 7
 
3.9%
목동 6
 
3.3%
3층 5
 
2.8%
5층 5
 
2.8%
1층 4
 
2.2%
월정로 4
 
2.2%
Other values (58) 67
37.0%
2024-03-14T20:45:20.583658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
16.9%
동 39
 
4.4%
로 33
 
3.7%
, 33
 
3.7%
양 32
 
3.6%
신 31
 
3.5%
서 30
 
3.4%
특 30
 
3.4%
별 30
 
3.4%
시 30
 
3.4%
Other values (57) 453
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
58.6%
Space Separator 151
 
16.9%
Decimal Number 124
 
13.9%
Other Punctuation 33
 
3.7%
Close Punctuation 30
 
3.4%
Open Punctuation 30
 
3.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
7.5%
로 33
 
6.3%
양 32
 
6.1%
신 31
 
5.9%
서 30
 
5.7%
특 30
 
5.7%
별 30
 
5.7%
시 30
 
5.7%
천 30
 
5.7%
구 30
 
5.7%
Other values (42) 208
39.8%
Decimal Number
ValueCountFrequency (%)
1 27
21.8%
2 20
16.1%
3 19
15.3%
4 16
12.9%
6 11
8.9%
5 11
8.9%
0 10
 
8.1%
9 5
 
4.0%
7 3
 
2.4%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
151
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
58.6%
Common 369
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
7.5%
로 33
 
6.3%
양 32
 
6.1%
신 31
 
5.9%
서 30
 
5.7%
특 30
 
5.7%
별 30
 
5.7%
시 30
 
5.7%
천 30
 
5.7%
구 30
 
5.7%
Other values (42) 208
39.8%
Common
ValueCountFrequency (%)
151
40.9%
, 33
 
8.9%
) 30
 
8.1%
( 30
 
8.1%
1 27
 
7.3%
2 20
 
5.4%
3 19
 
5.1%
4 16
 
4.3%
6 11
 
3.0%
5 11
 
3.0%
Other values (5) 21
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
58.6%
ASCII 369
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
40.9%
, 33
 
8.9%
) 30
 
8.1%
( 30
 
8.1%
1 27
 
7.3%
2 20
 
5.4%
3 19
 
5.1%
4 16
 
4.3%
6 11
 
3.0%
5 11
 
3.0%
Other values (5) 21
 
5.7%
Hangul
ValueCountFrequency (%)
동 39
 
7.5%
로 33
 
6.3%
양 32
 
6.1%
신 31
 
5.9%
서 30
 
5.7%
특 30
 
5.7%
별 30
 
5.7%
시 30
 
5.7%
천 30
 
5.7%
구 30
 
5.7%
Other values (42) 208
39.8%

기관전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T20:45:21.427828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.966667
Min length11

Characters and Unicode

Total characters359
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

Unique30 ?
Unique (%)100.0%

Sample

1st row02-2647-3356
2nd row02-2698-3245
3rd row02-2645-3698
4th row02-776-0506
5th row02-2606-7735
ValueCountFrequency (%)
02-2647-3356 1
 
3.3%
02-2698-3245 1
 
3.3%
02-2651-0809 1
 
3.3%
02-2643-6647 1
 
3.3%
02-2649-7707 1
 
3.3%
02-2698-9977 1
 
3.3%
02-6952-8995 1
 
3.3%
02-6741-1004 1
 
3.3%
02-6956-4046 1
 
3.3%
02-2699-9692 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T20:45:22.649341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 65
18.1%
- 60
16.7%
0 57
15.9%
6 49
13.6%
9 27
7.5%
4 21
 
5.8%
5 21
 
5.8%
7 16
 
4.5%
1 15
 
4.2%
3 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 299
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 65
21.7%
0 57
19.1%
6 49
16.4%
9 27
9.0%
4 21
 
7.0%
5 21
 
7.0%
7 16
 
5.4%
1 15
 
5.0%
3 14
 
4.7%
8 14
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 359
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 65
18.1%
- 60
16.7%
0 57
15.9%
6 49
13.6%
9 27
7.5%
4 21
 
5.8%
5 21
 
5.8%
7 16
 
4.5%
1 15
 
4.2%
3 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 65
18.1%
- 60
16.7%
0 57
15.9%
6 49
13.6%
9 27
7.5%
4 21
 
5.8%
5 21
 
5.8%
7 16
 
4.5%
1 15
 
4.2%
3 14
 
3.9%

대표자명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T20:45:23.405385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9333333
Min length2

Characters and Unicode

Total characters88
Distinct characters56
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

Unique28 ?
Unique (%)93.3%

Sample

1st row이철
2nd row유윤옥
3rd row김애영
4th row김철용
5th row이석준
ValueCountFrequency (%)
유경촌 2
 
6.7%
이철 1
 
3.3%
박철규 1
 
3.3%
최용주 1
 
3.3%
유성재 1
 
3.3%
김정호 1
 
3.3%
서덕태 1
 
3.3%
우광식 1
 
3.3%
김윤석 1
 
3.3%
박동언 1
 
3.3%
Other values (19) 19
63.3%
2024-03-14T20:45:24.527691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
5.7%
경 5
 
5.7%
유 4
 
4.5%
철 4
 
4.5%
석 4
 
4.5%
이 3
 
3.4%
서 2
 
2.3%
성 2
 
2.3%
주 2
 
2.3%
권 2
 
2.3%
Other values (46) 55
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
5.7%
경 5
 
5.7%
유 4
 
4.5%
철 4
 
4.5%
석 4
 
4.5%
이 3
 
3.4%
서 2
 
2.3%
성 2
 
2.3%
주 2
 
2.3%
권 2
 
2.3%
Other values (46) 55
62.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
5.7%
경 5
 
5.7%
유 4
 
4.5%
철 4
 
4.5%
석 4
 
4.5%
이 3
 
3.4%
서 2
 
2.3%
성 2
 
2.3%
주 2
 
2.3%
권 2
 
2.3%
Other values (46) 55
62.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
5.7%
경 5
 
5.7%
유 4
 
4.5%
철 4
 
4.5%
석 4
 
4.5%
이 3
 
3.4%
서 2
 
2.3%
성 2
 
2.3%
주 2
 
2.3%
권 2
 
2.3%
Other values (46) 55
62.5%

정원
Real number (ℝ)

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.233333
Minimum20
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T20:45:24.900168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.45
Q124
median30.5
Q345
95-th percentile56.55
Maximum61
Range41
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.472545
Coefficient of variation (CV)0.36433918
Kurtosis-0.73334668
Mean34.233333
Median Absolute Deviation (MAD)6.5
Skewness0.71597116
Sum1027
Variance155.56437
MonotonicityNot monotonic
2024-03-14T20:45:25.258381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
24 4
13.3%
21 3
 
10.0%
20 2
 
6.7%
37 2
 
6.7%
45 2
 
6.7%
32 2
 
6.7%
47 2
 
6.7%
28 2
 
6.7%
25 2
 
6.7%
48 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
20 2
6.7%
21 3
10.0%
24 4
13.3%
25 2
6.7%
27 1
 
3.3%
28 2
6.7%
29 1
 
3.3%
32 2
6.7%
34 1
 
3.3%
35 1
 
3.3%
ValueCountFrequency (%)
61 1
3.3%
57 1
3.3%
56 1
3.3%
53 1
3.3%
48 1
3.3%
47 2
6.7%
45 2
6.7%
37 2
6.7%
35 1
3.3%
34 1
3.3%

차량지원여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-03-14T20:45:25.569536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
개인
16 
지방자치단체(구립)
9 
법인
4 
지방자치단체(시립)
 
1

Length

Max length10
Median length2
Mean length4.6666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row지방자치단체(구립)
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 16
53.3%
지방자치단체(구립) 9
30.0%
법인 4
 
13.3%
지방자치단체(시립) 1
 
3.3%

Length

2024-03-14T20:45:25.914272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:45:26.254442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 16
53.3%
지방자치단체(구립 9
30.0%
법인 4
 
13.3%
지방자치단체(시립 1
 
3.3%

Interactions

2024-03-14T20:45:14.522680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:14.037599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:14.762020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:45:14.284819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:45:26.475970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명소재지기관전화번호대표자명정원비고
연번1.0001.0001.0001.0000.9270.4810.528
기관명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
기관전화번호1.0001.0001.0001.0001.0001.0001.000
대표자명0.9271.0001.0001.0001.0000.9621.000
정원0.4811.0001.0001.0000.9621.0000.333
비고0.5281.0001.0001.0001.0000.3331.000
2024-03-14T20:45:26.966986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원비고
연번1.000-0.1790.284
정원-0.1791.0000.106
비고0.2840.1061.000

Missing values

2024-03-14T20:45:15.094754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:45:15.507606image/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

연번기관명소재지기관전화번호대표자명정원차량지원여부비고
01목동실버데이케어센터서울특별시 양천구 목동중앙로3길 21 (목동, 목동실버복지문화센터)02-2647-3356이철27Y지방자치단체(구립)
12알콩달콩데이케어센터서울특별시 양천구 월정로 145, 3층 (신월동)02-2698-3245유윤옥25Y개인
23나이팅게일데이케어센터서울특별시 양천구 신월로 304, 5층 (신정동)02-2645-3698김애영29Y개인
34가가호호데이케어센터서울특별시 양천구 월정로 39, 2층 (신월동)02-776-0506김철용25Y개인
45아리아케어 주야간보호 신월센터서울특별시 양천구 가로공원로 146, 3층 (신월동)02-2606-7735이석준45Y개인
56목동효사랑데이케어센터서울특별시 양천구 오목로 193, 3층 (신정동)02-2601-9713장석철32Y개인
67목동굿모닝데이케어센터 목동굿모닝방문요양센터서울특별시 양천구 공항대로 594, 2층 (목동)02-2655-1226김효숙32Y개인
78성주데이케어센터서울특별시 양천구 월정로 145, 4,5층 (신월동)02-3662-3245홍종옥53Y개인
89목동중앙데이케어센터서울특별시 양천구 목동중앙북로7가길 60, 5층 (목동)02-2654-9712권주만47Y개인
910목동 연세데이케어센터서울특별시 양천구 목동중앙본로3길 10, 1층 (목동)02-2655-0547나성희57Y개인
연번기관명소재지기관전화번호대표자명정원차량지원여부비고
2021사랑초 데이케어센터서울특별시 양천구 지양로 152, 지1층 (신월동)02-6929-0901조요순24Y개인
2122에이원데이케어센터서울특별시 양천구 중앙로 312, 1층 (신정동)02-2699-9692박동언37Y법인
2223서서울어르신복지관병설서서울데이케어센터서울특별시 양천구 가로공원로60가길 16, 3층 (신월동)02-6956-4046김윤석28Y지방자치단체(구립)
2324늘푸른한가족데이케어센터서울특별시 양천구 오목로 181, 3층 (신정동)02-6741-1004우광식24Y개인
2425A+효담라이프케어 목동데이케어센터서울특별시 양천구 중앙로32길 61, 2층 (신정동, 201호~203호,209호)02-6952-8995서덕태56Y법인
2526한빛데이케어센터서울특별시 양천구 신월로11길 16, 5층 (신월동, 한빛종합사회복지관)02-2698-9977유경촌28Y지방자치단체(구립)
2627양천어르신종합복지관병설양천데이케어센터서울특별시 양천구 목동로3길 106 (신정동)02-2649-7707김정호24Y지방자치단체(구립)
2728신목행복자리 데이케어센터서울특별시 양천구 신목로 10 (신정동)02-2643-6647유성재20Y지방자치단체(시립)
2829목동종합사회복지관병설목동데이케어센터서울특별시 양천구 목동중앙북로8길 104 (목동,목동종합사회복지관 2층)02-2651-0809최용주48Y지방자치단체(구립)
2930신정종합사회복지관병설신정데이케어센터서울특별시 양천구 신정중앙로 36, 4층 (신정동, 신정종합사회복지관)02-2603-3906서경석24Y지방자치단체(구립)