Overview

Dataset statistics

Number of variables8
Number of observations62
Missing cells34
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory66.1 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description경기도 김포시 노인복지시설 현황 정보에 대한 데이터로 구분, 시설구분, 시설명, 소재지주소, 정원, 연락처 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15036614/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 시설구분 and 1 other fieldsHigh correlation
시설구분 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly imbalanced (72.0%)Imbalance
시설구분 is highly imbalanced (74.2%)Imbalance
비고 is highly imbalanced (54.1%)Imbalance
정원인원(입소인원) has 6 (9.7%) missing valuesMissing
연락처 has 28 (45.2%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:26:25.356111
Analysis finished2023-12-12 05:26:26.243798
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
개인(법인)
59 
공공
 
3

Length

Max length6
Median length6
Mean length5.8064516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공
2nd row공공
3rd row공공
4th row개인(법인)
5th row개인(법인)

Common Values

ValueCountFrequency (%)
개인(법인) 59
95.2%
공공 3
 
4.8%

Length

2023-12-12T14:26:26.339669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:26:26.462984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인(법인 59
95.2%
공공 3
 
4.8%

시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
재가
58 
이용
 
2
주거
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이용
2nd row이용
3rd row재가
4th row주거
5th row주거

Common Values

ValueCountFrequency (%)
재가 58
93.5%
이용 2
 
3.2%
주거 2
 
3.2%

Length

2023-12-12T14:26:26.593146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:26:26.703446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가 58
93.5%
이용 2
 
3.2%
주거 2
 
3.2%

시설명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T14:26:26.916364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.096774
Min length4

Characters and Unicode

Total characters626
Distinct characters138
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

Unique62 ?
Unique (%)100.0%

Sample

1st row김포시노인복지관
2nd row김포시북부노인복지관
3rd row김포시북부 노인주간보호센터
4th row새샘양로원
5th row사라의집
ValueCountFrequency (%)
주야간보호센터 3
 
3.8%
재가복지센터 2
 
2.5%
김포시노인복지관 1
 
1.3%
a+가정방문굿케어복지센터 1
 
1.3%
김포굿케어방문간호센터 1
 
1.3%
통진솔가실주간보호센터 1
 
1.3%
착한재가노인복지센타 1
 
1.3%
큰마음"주야간보호센터 1
 
1.3%
김포엘림노인복지센터 1
 
1.3%
은빛사랑채 1
 
1.3%
Other values (66) 66
83.5%
2023-12-12T14:26:27.353465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 54
 
8.6%
터 53
 
8.5%
복 24
 
3.8%
지 23
 
3.7%
주 23
 
3.7%
간 23
 
3.7%
호 22
 
3.5%
보 20
 
3.2%
노 18
 
2.9%
인 18
 
2.9%
Other values (128) 348
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
94.4%
Space Separator 17
 
2.7%
Other Punctuation 8
 
1.3%
Math Symbol 3
 
0.5%
Uppercase Letter 3
 
0.5%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 54
 
9.1%
터 53
 
9.0%
복 24
 
4.1%
지 23
 
3.9%
주 23
 
3.9%
간 23
 
3.9%
호 22
 
3.7%
보 20
 
3.4%
노 18
 
3.0%
인 18
 
3.0%
Other values (122) 313
53.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
" 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
94.4%
Common 32
 
5.1%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 54
 
9.1%
터 53
 
9.0%
복 24
 
4.1%
지 23
 
3.9%
주 23
 
3.9%
간 23
 
3.9%
호 22
 
3.7%
보 20
 
3.4%
노 18
 
3.0%
인 18
 
3.0%
Other values (122) 313
53.0%
Common
ValueCountFrequency (%)
17
53.1%
" 8
25.0%
+ 3
 
9.4%
( 2
 
6.2%
) 2
 
6.2%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
94.4%
ASCII 35
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 54
 
9.1%
터 53
 
9.0%
복 24
 
4.1%
지 23
 
3.9%
주 23
 
3.9%
간 23
 
3.9%
호 22
 
3.7%
보 20
 
3.4%
노 18
 
3.0%
인 18
 
3.0%
Other values (122) 313
53.0%
ASCII
ValueCountFrequency (%)
17
48.6%
" 8
22.9%
+ 3
 
8.6%
A 3
 
8.6%
( 2
 
5.7%
) 2
 
5.7%

소재지주소
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T14:26:27.606278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38.5
Mean length31.693548
Min length19

Characters and Unicode

Total characters1965
Distinct characters137
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

Unique60 ?
Unique (%)96.8%

Sample

1st row경기도 김포시 사우중로74번길 48(사우동)
2nd row경기도 김포시 마송1로16번길 40-2(통진읍)
3rd row경기도 김포시 마송1로16번길 40-2(통진읍)
4th row경기도 김포시 대곶면 대곶북로 42
5th row경기도 김포시 대곶면 대곶로331번길 307-37
ValueCountFrequency (%)
경기도 62
 
15.4%
김포시 62
 
15.4%
양촌읍 15
 
3.7%
2층 7
 
1.7%
김포대로 6
 
1.5%
통진읍 6
 
1.5%
북변동 6
 
1.5%
풍무동 5
 
1.2%
사우동 5
 
1.2%
장기동 4
 
1.0%
Other values (168) 224
55.7%
2023-12-12T14:26:28.014318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
 
17.3%
김 83
 
4.2%
포 83
 
4.2%
1 81
 
4.1%
도 68
 
3.5%
기 67
 
3.4%
시 66
 
3.4%
, 64
 
3.3%
경 62
 
3.2%
로 62
 
3.2%
Other values (127) 989
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1063
54.1%
Decimal Number 393
 
20.0%
Space Separator 340
 
17.3%
Other Punctuation 66
 
3.4%
Open Punctuation 40
 
2.0%
Close Punctuation 40
 
2.0%
Dash Punctuation 18
 
0.9%
Uppercase Letter 3
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 83
 
7.8%
포 83
 
7.8%
도 68
 
6.4%
기 67
 
6.3%
시 66
 
6.2%
경 62
 
5.8%
로 62
 
5.8%
동 37
 
3.5%
양 33
 
3.1%
층 31
 
2.9%
Other values (108) 471
44.3%
Decimal Number
ValueCountFrequency (%)
1 81
20.6%
2 57
14.5%
0 54
13.7%
4 42
10.7%
3 34
8.7%
5 28
 
7.1%
6 28
 
7.1%
7 27
 
6.9%
8 27
 
6.9%
9 15
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 64
97.0%
. 2
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
66.7%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1063
54.1%
Common 899
45.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 83
 
7.8%
포 83
 
7.8%
도 68
 
6.4%
기 67
 
6.3%
시 66
 
6.2%
경 62
 
5.8%
로 62
 
5.8%
동 37
 
3.5%
양 33
 
3.1%
층 31
 
2.9%
Other values (108) 471
44.3%
Common
ValueCountFrequency (%)
340
37.8%
1 81
 
9.0%
, 64
 
7.1%
2 57
 
6.3%
0 54
 
6.0%
4 42
 
4.7%
( 40
 
4.4%
) 40
 
4.4%
3 34
 
3.8%
5 28
 
3.1%
Other values (7) 119
 
13.2%
Latin
ValueCountFrequency (%)
M 2
66.7%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1063
54.1%
ASCII 902
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
37.7%
1 81
 
9.0%
, 64
 
7.1%
2 57
 
6.3%
0 54
 
6.0%
4 42
 
4.7%
( 40
 
4.4%
) 40
 
4.4%
3 34
 
3.8%
5 28
 
3.1%
Other values (9) 122
 
13.5%
Hangul
ValueCountFrequency (%)
김 83
 
7.8%
포 83
 
7.8%
도 68
 
6.4%
기 67
 
6.3%
시 66
 
6.2%
경 62
 
5.8%
로 62
 
5.8%
동 37
 
3.5%
양 33
 
3.1%
층 31
 
2.9%
Other values (108) 471
44.3%

정원인원(입소인원)
Text

MISSING 

Distinct32
Distinct (%)57.1%
Missing6
Missing (%)9.7%
Memory size628.0 B
2023-12-12T14:26:28.242238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.9107143
Min length6

Characters and Unicode

Total characters387
Distinct characters17
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

Unique30 ?
Unique (%)53.6%

Sample

1st row472명(이용인원)
2nd row445명(이용인원)
3rd row15명(0명)
4th row20명(9명)
5th row9명(2명)
ValueCountFrequency (%)
0명(0명 24
42.9%
63명(52명 2
 
3.6%
472명(이용인원 1
 
1.8%
9명(9명 1
 
1.8%
37명(21명 1
 
1.8%
0명(3명 1
 
1.8%
52명(22명 1
 
1.8%
42명(12명 1
 
1.8%
67명(36명 1
 
1.8%
32명(0명 1
 
1.8%
Other values (22) 22
39.3%
2023-12-12T14:26:28.663144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
명 110
28.4%
0 62
16.0%
( 56
14.5%
) 56
14.5%
2 18
 
4.7%
4 17
 
4.4%
3 13
 
3.4%
6 11
 
2.8%
9 11
 
2.8%
5 10
 
2.6%
Other values (7) 23
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 157
40.6%
Other Letter 118
30.5%
Open Punctuation 56
 
14.5%
Close Punctuation 56
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
39.5%
2 18
 
11.5%
4 17
 
10.8%
3 13
 
8.3%
6 11
 
7.0%
9 11
 
7.0%
5 10
 
6.4%
1 7
 
4.5%
7 6
 
3.8%
8 2
 
1.3%
Other Letter
ValueCountFrequency (%)
명 110
93.2%
이 2
 
1.7%
용 2
 
1.7%
인 2
 
1.7%
원 2
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 269
69.5%
Hangul 118
30.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
23.0%
( 56
20.8%
) 56
20.8%
2 18
 
6.7%
4 17
 
6.3%
3 13
 
4.8%
6 11
 
4.1%
9 11
 
4.1%
5 10
 
3.7%
1 7
 
2.6%
Other values (2) 8
 
3.0%
Hangul
ValueCountFrequency (%)
명 110
93.2%
이 2
 
1.7%
용 2
 
1.7%
인 2
 
1.7%
원 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 269
69.5%
Hangul 118
30.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
명 110
93.2%
이 2
 
1.7%
용 2
 
1.7%
인 2
 
1.7%
원 2
 
1.7%
ASCII
ValueCountFrequency (%)
0 62
23.0%
( 56
20.8%
) 56
20.8%
2 18
 
6.7%
4 17
 
6.3%
3 13
 
4.8%
6 11
 
4.1%
9 11
 
4.1%
5 10
 
3.7%
1 7
 
2.6%
Other values (2) 8
 
3.0%

연락처
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing28
Missing (%)45.2%
Memory size628.0 B
2023-12-12T14:26:28.927038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.088235
Min length12

Characters and Unicode

Total characters411
Distinct characters12
Distinct categories3 ?
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 (%)88.2%

Sample

1st row031-997-9300
2nd row031-984-0108
3rd row031-984-0108
4th row031-989-0344
5th row031-983-6675
ValueCountFrequency (%)
031-992-9402 2
 
5.6%
031-984-0108 2
 
5.6%
031-9589-7738 1
 
2.8%
031-983-1052 1
 
2.8%
031-8049-0129 1
 
2.8%
031-987-5574 1
 
2.8%
070-8285-8218 1
 
2.8%
031-998-4007 1
 
2.8%
031-997-6981 1
 
2.8%
031-997-9300 1
 
2.8%
Other values (24) 24
66.7%
2023-12-12T14:26:29.312913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 70
17.0%
- 66
16.1%
0 57
13.9%
1 51
12.4%
3 45
10.9%
8 45
10.9%
2 23
 
5.6%
7 18
 
4.4%
4 13
 
3.2%
5 12
 
2.9%
Other values (2) 11
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
83.5%
Dash Punctuation 66
 
16.1%
Space Separator 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 70
20.4%
0 57
16.6%
1 51
14.9%
3 45
13.1%
8 45
13.1%
2 23
 
6.7%
7 18
 
5.2%
4 13
 
3.8%
5 12
 
3.5%
6 9
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 411
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 70
17.0%
- 66
16.1%
0 57
13.9%
1 51
12.4%
3 45
10.9%
8 45
10.9%
2 23
 
5.6%
7 18
 
4.4%
4 13
 
3.2%
5 12
 
2.9%
Other values (2) 11
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 411
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 70
17.0%
- 66
16.1%
0 57
13.9%
1 51
12.4%
3 45
10.9%
8 45
10.9%
2 23
 
5.6%
7 18
 
4.4%
4 13
 
3.2%
5 12
 
2.9%
Other values (2) 11
 
2.7%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
폐업
6 

Length

Max length4
Median length4
Mean length3.8064516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
90.3%
폐업 6
 
9.7%

Length

2023-12-12T14:26:29.464586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:26:29.569867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
폐업 6
 
9.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2023-07-19 00:00:00
Maximum2023-07-19 00:00:00
2023-12-12T14:26:29.684392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:26:29.789748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T14:26:29.867150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설구분시설명소재지주소정원인원(입소인원)연락처
구분1.0000.5361.0001.0001.0001.000
시설구분0.5361.0001.0000.0001.0000.000
시설명1.0001.0001.0001.0001.0001.000
소재지주소1.0000.0001.0001.0000.8511.000
정원인원(입소인원)1.0001.0001.0000.8511.0000.799
연락처1.0000.0001.0001.0000.7991.000
2023-12-12T14:26:29.967839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설구분비고
구분1.0000.7961.000
시설구분0.7961.0001.000
비고1.0001.0001.000
2023-12-12T14:26:30.056527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설구분비고
구분1.0000.7961.000
시설구분0.7961.0001.000
비고1.0001.0001.000

Missing values

2023-12-12T14:26:25.904314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:26:26.045539image/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.
2023-12-12T14:26:26.167131image/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

구분시설구분시설명소재지주소정원인원(입소인원)연락처비고데이터기준일자
0공공이용김포시노인복지관경기도 김포시 사우중로74번길 48(사우동)472명(이용인원)031-997-9300<NA>2023-07-19
1공공이용김포시북부노인복지관경기도 김포시 마송1로16번길 40-2(통진읍)445명(이용인원)031-984-0108<NA>2023-07-19
2공공재가김포시북부 노인주간보호센터경기도 김포시 마송1로16번길 40-2(통진읍)15명(0명)031-984-0108<NA>2023-07-19
3개인(법인)주거새샘양로원경기도 김포시 대곶면 대곶북로 4220명(9명)031-989-0344<NA>2023-07-19
4개인(법인)주거사라의집경기도 김포시 대곶면 대곶로331번길 307-379명(2명)031-983-6675<NA>2023-07-19
5개인(법인)재가김포효사랑 주야간보호센터경기도 김포시 양촌읍 양곡2로 30, 701호(김포메디시티)49명(50명)031-997-8321<NA>2023-07-19
6개인(법인)재가김포삼성주야간보호센터경기도 김포시 양촌읍 양곡1로 65, 6층63명(52명)031 997 6611<NA>2023-07-19
7개인(법인)재가헬스원 데이케어센터경기도 김포시 봉화로 172, 2층, 4층 (북변동, 청송빌딩)44명(73명)031-999-9999<NA>2023-07-19
8개인(법인)재가우리재가요양센터경기도 김포시 사우중로 78 (사우동)0명(2명)031-982-8156<NA>2023-07-19
9개인(법인)재가처음처럼 노인주간돌봄센터경기도 김포시 통진읍 김포대로 2228, 2층 (백산빌딩)49명(54명)031-998-7870<NA>2023-07-19
구분시설구분시설명소재지주소정원인원(입소인원)연락처비고데이터기준일자
52개인(법인)재가(A+)희망노인복지센터경기도 김포시 양도로 18, 104동 304호 (풍무동, (풍무동, 양도마을서해아파트))0명(0명)031-997-6981<NA>2023-07-19
53개인(법인)재가싱글벙글 플러스 복지센터경기도 김포시 대곶면 대곶북로 32, 101호<NA><NA>폐업2023-07-19
54개인(법인)재가천사노인주야간보호센터경기도 김포시 중봉로 1-1, 상가동 305호 (감정동, 중봉마을 신안실크밸리)23명(15명)031-998-4007<NA>2023-07-19
55개인(법인)재가"(A+)"튼튼한방문간호 통합재가센터경기도 김포시 봉화로 163, 2층 (북변동)0명(0명)070-8285-8218<NA>2023-07-19
56개인(법인)재가더맑은 주야간보호센터경기도 김포시 김포한강1로 230, 9층 916호 (운양동, 현대센트럴스퀘어)49명(0명)031-992-9402<NA>2023-07-19
57개인(법인)재가"김포"중앙데이케어센터경기도 김포시 김포한강8로 410, 8층 (구래동)<NA><NA>폐업2023-07-19
58개인(법인)재가사랑방문요양센터경기도 김포시 봉화로182번길 29, 상가동 2층 204호 (북변동)0명(0명)031-987-5574<NA>2023-07-19
59개인(법인)재가한마음방문요양센터경기도 김포시 하성면 하성로 505, 102호0명(0명)031-8049-0129<NA>2023-07-19
60개인(법인)재가김포바른방문요양센터경기도 김포시 양촌읍 양곡2로 58, 408호 (우평프라자)0명(0명)031-986-7080<NA>2023-07-19
61개인(법인)재가해맑은 주야간보호센터경기도 김포시 김포한강1로 230, 916호 (운양동, 현대센트럴스퀘어)49명(42명)031-992-9402<NA>2023-07-19