Overview

Dataset statistics

Number of variables9
Number of observations41
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory76.2 B

Variable types

Categorical3
Text4
Numeric1
Boolean1

Dataset

Description경기도 김포시의 아동복지시설(시설구분, 시설명, 소재지도로명주소, 소재지지번주소, 입소정원, 운영주체, 국고보조여부, 전화번호, 데이터기준일자)의 데이터 현황을 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15034953/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
입소정원 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 입소정원 and 1 other fieldsHigh correlation
운영주체 is highly overall correlated with 시설구분High correlation
국고보조여부 is highly imbalanced (83.5%)Imbalance
전화번호 has 2 (4.9%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:48:59.585786
Analysis finished2024-04-06 08:49:02.086372
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
지역아동센터
20 
다함께돌봄센터
17 
공동생활가정
4 

Length

Max length7
Median length6
Mean length6.4146341
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역아동센터 20
48.8%
다함께돌봄센터 17
41.5%
공동생활가정 4
 
9.8%

Length

2024-04-06T17:49:02.473512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:49:03.218203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 20
48.8%
다함께돌봄센터 17
41.5%
공동생활가정 4
 
9.8%

시설명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-06T17:49:04.671908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8780488
Min length2

Characters and Unicode

Total characters159
Distinct characters81
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

Unique41 ?
Unique (%)100.0%

Sample

1st row김포
2nd row꿈동산
3rd row민통선
4th row사우
5th row선수
ValueCountFrequency (%)
김포 1
 
2.4%
은빛마을 1
 
2.4%
드리머 1
 
2.4%
매수리마을점 1
 
2.4%
수정마을점 1
 
2.4%
여울숲점 1
 
2.4%
은여울마을점 1
 
2.4%
솔터마을점 1
 
2.4%
양곡리점 1
 
2.4%
고촌복지회관점 1
 
2.4%
Other values (31) 31
75.6%
2024-04-06T17:49:05.820082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 17
 
10.7%
마 11
 
6.9%
을 10
 
6.3%
리 5
 
3.1%
수 4
 
2.5%
양 4
 
2.5%
꿈 4
 
2.5%
선 3
 
1.9%
은 3
 
1.9%
나 3
 
1.9%
Other values (71) 95
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
98.7%
Uppercase Letter 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 17
 
10.8%
마 11
 
7.0%
을 10
 
6.4%
리 5
 
3.2%
수 4
 
2.5%
양 4
 
2.5%
꿈 4
 
2.5%
선 3
 
1.9%
은 3
 
1.9%
나 3
 
1.9%
Other values (69) 93
59.2%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
98.7%
Latin 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 17
 
10.8%
마 11
 
7.0%
을 10
 
6.4%
리 5
 
3.2%
수 4
 
2.5%
양 4
 
2.5%
꿈 4
 
2.5%
선 3
 
1.9%
은 3
 
1.9%
나 3
 
1.9%
Other values (69) 93
59.2%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 17
 
10.8%
마 11
 
7.0%
을 10
 
6.4%
리 5
 
3.2%
수 4
 
2.5%
양 4
 
2.5%
꿈 4
 
2.5%
선 3
 
1.9%
은 3
 
1.9%
나 3
 
1.9%
Other values (69) 93
59.2%
ASCII
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

소재지도로명주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-06T17:49:06.652627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length26.512195
Min length14

Characters and Unicode

Total characters1087
Distinct characters117
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 봉화로 160
2nd row경기도 김포시 통진읍 서암로 134번길 11
3rd row경기도 김포시 월곶면 군하로190 한맥빌딩3층
4th row김포시 돌문로95번길 12-10, 2층
5th row경기도 김포시 김포한강4로 211-11
ValueCountFrequency (%)
김포시 40
 
17.9%
경기도 35
 
15.7%
2층 5
 
2.2%
통진읍 5
 
2.2%
1층 5
 
2.2%
김포한강8로 4
 
1.8%
양촌읍 4
 
1.8%
하성면 3
 
1.3%
김포한강2로 3
 
1.3%
월곶면 3
 
1.3%
Other values (107) 116
52.0%
2024-04-06T17:49:07.998780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
16.7%
1 65
 
6.0%
김 54
 
5.0%
포 54
 
5.0%
시 43
 
4.0%
로 42
 
3.9%
기 38
 
3.5%
경 36
 
3.3%
도 35
 
3.2%
3 32
 
2.9%
Other values (107) 506
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
55.6%
Decimal Number 235
 
21.6%
Space Separator 182
 
16.7%
Other Punctuation 22
 
2.0%
Close Punctuation 14
 
1.3%
Open Punctuation 14
 
1.3%
Dash Punctuation 10
 
0.9%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 54
 
8.9%
포 54
 
8.9%
시 43
 
7.1%
로 42
 
7.0%
기 38
 
6.3%
경 36
 
6.0%
도 35
 
5.8%
층 22
 
3.6%
동 18
 
3.0%
강 14
 
2.3%
Other values (88) 248
41.1%
Decimal Number
ValueCountFrequency (%)
1 65
27.7%
3 32
13.6%
2 31
13.2%
0 28
11.9%
5 17
 
7.2%
8 16
 
6.8%
4 14
 
6.0%
7 12
 
5.1%
6 11
 
4.7%
9 9
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
H 2
33.3%
U 1
16.7%
Z 1
16.7%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
55.6%
Common 477
43.9%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 54
 
8.9%
포 54
 
8.9%
시 43
 
7.1%
로 42
 
7.0%
기 38
 
6.3%
경 36
 
6.0%
도 35
 
5.8%
층 22
 
3.6%
동 18
 
3.0%
강 14
 
2.3%
Other values (88) 248
41.1%
Common
ValueCountFrequency (%)
182
38.2%
1 65
 
13.6%
3 32
 
6.7%
2 31
 
6.5%
0 28
 
5.9%
, 22
 
4.6%
5 17
 
3.6%
8 16
 
3.4%
) 14
 
2.9%
( 14
 
2.9%
Other values (5) 56
 
11.7%
Latin
ValueCountFrequency (%)
L 2
33.3%
H 2
33.3%
U 1
16.7%
Z 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
55.6%
ASCII 483
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
37.7%
1 65
 
13.5%
3 32
 
6.6%
2 31
 
6.4%
0 28
 
5.8%
, 22
 
4.6%
5 17
 
3.5%
8 16
 
3.3%
) 14
 
2.9%
( 14
 
2.9%
Other values (9) 62
 
12.8%
Hangul
ValueCountFrequency (%)
김 54
 
8.9%
포 54
 
8.9%
시 43
 
7.1%
로 42
 
7.0%
기 38
 
6.3%
경 36
 
6.0%
도 35
 
5.8%
층 22
 
3.6%
동 18
 
3.0%
강 14
 
2.3%
Other values (88) 248
41.1%

소재지지번주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-06T17:49:08.653381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length23.634146
Min length16

Characters and Unicode

Total characters969
Distinct characters93
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 북변동200-22번지
2nd row경기도 김포시 통진읍 서암리744번지
3rd row경기도 김포시 월곶면 군하리304-1번지 한맥빌딩 3층
4th row경기도 김포시 사우동 203-2 번지
5th row경기도 김포시 장기동 1882-4번지
ValueCountFrequency (%)
김포시 41
20.5%
경기도 39
19.5%
1층 10
 
5.0%
장기동 6
 
3.0%
통진읍 5
 
2.5%
양촌읍 5
 
2.5%
양곡리 4
 
2.0%
월곶면 3
 
1.5%
마산동 3
 
1.5%
하성면 3
 
1.5%
Other values (75) 81
40.5%
2024-04-06T17:49:09.830582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
17.5%
1 58
 
6.0%
기 48
 
5.0%
김 42
 
4.3%
포 42
 
4.3%
시 41
 
4.2%
경 40
 
4.1%
도 39
 
4.0%
동 34
 
3.5%
- 28
 
2.9%
Other values (83) 427
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
53.9%
Decimal Number 232
23.9%
Space Separator 170
 
17.5%
Dash Punctuation 28
 
2.9%
Other Punctuation 14
 
1.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 48
 
9.2%
김 42
 
8.0%
포 42
 
8.0%
시 41
 
7.9%
경 40
 
7.7%
도 39
 
7.5%
동 34
 
6.5%
지 20
 
3.8%
번 19
 
3.6%
리 17
 
3.3%
Other values (67) 180
34.5%
Decimal Number
ValueCountFrequency (%)
1 58
25.0%
2 27
11.6%
3 26
11.2%
0 26
11.2%
4 23
 
9.9%
8 18
 
7.8%
5 18
 
7.8%
6 15
 
6.5%
7 11
 
4.7%
9 10
 
4.3%
Space Separator
ValueCountFrequency (%)
170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
53.9%
Common 447
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 48
 
9.2%
김 42
 
8.0%
포 42
 
8.0%
시 41
 
7.9%
경 40
 
7.7%
도 39
 
7.5%
동 34
 
6.5%
지 20
 
3.8%
번 19
 
3.6%
리 17
 
3.3%
Other values (67) 180
34.5%
Common
ValueCountFrequency (%)
170
38.0%
1 58
 
13.0%
- 28
 
6.3%
2 27
 
6.0%
3 26
 
5.8%
0 26
 
5.8%
4 23
 
5.1%
8 18
 
4.0%
5 18
 
4.0%
6 15
 
3.4%
Other values (6) 38
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
53.9%
ASCII 447
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
38.0%
1 58
 
13.0%
- 28
 
6.3%
2 27
 
6.0%
3 26
 
5.8%
0 26
 
5.8%
4 23
 
5.1%
8 18
 
4.0%
5 18
 
4.0%
6 15
 
3.4%
Other values (6) 38
 
8.5%
Hangul
ValueCountFrequency (%)
기 48
 
9.2%
김 42
 
8.0%
포 42
 
8.0%
시 41
 
7.9%
경 40
 
7.7%
도 39
 
7.5%
동 34
 
6.5%
지 20
 
3.8%
번 19
 
3.6%
리 17
 
3.3%
Other values (67) 180
34.5%

입소정원
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.926829
Minimum7
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-06T17:49:10.193287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q119
median20
Q325
95-th percentile29
Maximum35
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.1983475
Coefficient of variation (CV)0.29619143
Kurtosis1.0530566
Mean20.926829
Median Absolute Deviation (MAD)1
Skewness-0.48424223
Sum858
Variance38.419512
MonotonicityNot monotonic
2024-04-06T17:49:10.507093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20 13
31.7%
19 11
26.8%
29 6
14.6%
25 5
 
12.2%
7 4
 
9.8%
27 1
 
2.4%
35 1
 
2.4%
ValueCountFrequency (%)
7 4
 
9.8%
19 11
26.8%
20 13
31.7%
25 5
 
12.2%
27 1
 
2.4%
29 6
14.6%
35 1
 
2.4%
ValueCountFrequency (%)
35 1
 
2.4%
29 6
14.6%
27 1
 
2.4%
25 5
 
12.2%
20 13
31.7%
19 11
26.8%
7 4
 
9.8%

운영주체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
법인
26 
개인
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 26
63.4%
개인 15
36.6%

Length

2024-04-06T17:49:10.878322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:49:11.152056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 26
63.4%
개인 15
36.6%

국고보조여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size173.0 B
True
40 
False
 
1
ValueCountFrequency (%)
True 40
97.6%
False 1
 
2.4%
2024-04-06T17:49:11.418832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing2
Missing (%)4.9%
Memory size460.0 B
2024-04-06T17:49:11.896770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.102564
Min length12

Characters and Unicode

Total characters472
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

Unique39 ?
Unique (%)100.0%

Sample

1st row031-984-4135
2nd row031-997-2010
3rd row031-989-5622
4th row031-986-9125
5th row070-8236-9602
ValueCountFrequency (%)
031-984-4135 1
 
2.6%
031-987-8341 1
 
2.6%
031-997-2010 1
 
2.6%
031-988-4420 1
 
2.6%
031-984-4421 1
 
2.6%
031-987-8344 1
 
2.6%
031-988-5415 1
 
2.6%
031-988-5414 1
 
2.6%
031-988-5413 1
 
2.6%
031-988-0271 1
 
2.6%
Other values (29) 29
74.4%
2024-04-06T17:49:13.124891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.5%
0 58
12.3%
8 57
12.1%
1 56
11.9%
3 52
11.0%
9 51
10.8%
2 29
 
6.1%
7 27
 
5.7%
4 25
 
5.3%
5 22
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 394
83.5%
Dash Punctuation 78
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
14.7%
8 57
14.5%
1 56
14.2%
3 52
13.2%
9 51
12.9%
2 29
7.4%
7 27
6.9%
4 25
6.3%
5 22
 
5.6%
6 17
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.5%
0 58
12.3%
8 57
12.1%
1 56
11.9%
3 52
11.0%
9 51
10.8%
2 29
 
6.1%
7 27
 
5.7%
4 25
 
5.3%
5 22
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.5%
0 58
12.3%
8 57
12.1%
1 56
11.9%
3 52
11.0%
9 51
10.8%
2 29
 
6.1%
7 27
 
5.7%
4 25
 
5.3%
5 22
 
4.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-11
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-11
2nd row2024-03-11
3rd row2024-03-11
4th row2024-03-11
5th row2024-03-11

Common Values

ValueCountFrequency (%)
2024-03-11 41
100.0%

Length

2024-04-06T17:49:13.511470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:49:13.790686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-11 41
100.0%

Interactions

2024-04-06T17:49:00.626257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:49:14.041899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지도로명주소소재지지번주소입소정원운영주체국고보조여부전화번호
시설구분1.0001.0001.0001.0000.7640.3940.2701.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
입소정원0.7641.0001.0001.0001.0000.1680.3151.000
운영주체0.3941.0001.0001.0000.1681.0000.0001.000
국고보조여부0.2701.0001.0001.0000.3150.0001.000NaN
전화번호1.0001.0001.0001.0001.0001.000NaN1.000
2024-04-06T17:49:14.393357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영주체국고보조여부시설구분
운영주체1.0000.0000.613
국고보조여부0.0001.0000.431
시설구분0.6130.4311.000
2024-04-06T17:49:14.671270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원시설구분운영주체국고보조여부
입소정원1.0000.7490.1910.367
시설구분0.7491.0000.6130.431
운영주체0.1910.6131.0000.000
국고보조여부0.3670.4310.0001.000

Missing values

2024-04-06T17:49:00.933151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:49:01.589191image/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

시설구분시설명소재지도로명주소소재지지번주소입소정원운영주체국고보조여부전화번호데이터기준일자
0지역아동센터김포경기도 김포시 봉화로 160경기도 김포시 북변동200-22번지29개인Y031-984-41352024-03-11
1지역아동센터꿈동산경기도 김포시 통진읍 서암로 134번길 11경기도 김포시 통진읍 서암리744번지19개인Y031-997-20102024-03-11
2지역아동센터민통선경기도 김포시 월곶면 군하로190 한맥빌딩3층경기도 김포시 월곶면 군하리304-1번지 한맥빌딩 3층19개인Y031-989-56222024-03-11
3지역아동센터사우김포시 돌문로95번길 12-10, 2층경기도 김포시 사우동 203-2 번지29개인Y031-986-91252024-03-11
4지역아동센터선수경기도 김포시 김포한강4로 211-11경기도 김포시 장기동 1882-4번지19개인Y070-8236-96022024-03-11
5지역아동센터중봉청소년경기도 김포시 중봉1로66 2층경기도 김포시 북변동221-31번지 2층29개인Y031-986-64252024-03-11
6지역아동센터꽃가람경기도 김포시 돌문로105번길 12, 2층경기도 김포시 사우동 201-32, 2층19개인Y031-996-66282024-03-11
7지역아동센터대곶경기도 김포시 대곶면 율생중앙로 33경기도 김포시 대곶면 율생리454-1번지19법인Y031-987-17412024-03-11
8지역아동센터월곶경기도 김포시 월곶면 애기봉로 16, 2층경기도 김포시 월곶면 군하리 36-1, 2층19법인Y070-4159-63522024-03-11
9지역아동센터제일경기도 김포시 풍무로 234 401호경기도 김포시 사우동385번지 401호19개인Y031-987-05812024-03-11
시설구분시설명소재지도로명주소소재지지번주소입소정원운영주체국고보조여부전화번호데이터기준일자
31다함께돌봄센터선수점경기도 김포시 유현로 200, UZ센터 1층경기도 김포시 풍무동 354-120법인Y031-987-83412024-03-11
32다함께돌봄센터고창마을점경기도 김포시 김포한강3로 290-13, 커뮤니티센터 1층경기도 김포시 장기동 1885-1020법인Y031-987-83422024-03-11
33다함께돌봄센터솔내점경기도 김포시 김포한강2로 189, 705동 1층경기도 김포시 장기동 163620법인Y031-987-83432024-03-11
34다함께돌봄센터청송마을점경기도 김포시 김포한강2로 273, 502동 1층(장기동)경기도 김포시 장기동 1869-5, 502동 1층20법인Y031-982-02722024-03-11
35다함께돌봄센터유현마을점경기도 김포시 유현로33번길 73, 후문입구 1층(풍무동)경기도 김포시 풍무동 797, 후문입구 1층20법인Y031-983-02722024-03-11
36다함께돌봄센터모담마을점경기도 김포시 김포한강11로 38, 109동 1층(운양동)경기도 김포시 운양동 1325-7, 109동 1층20법인Y031-985-39732024-03-11
37다함께돌봄센터나비마을점경기도 김포시 김포한강8로 365, 102동 1층(구래동)경기도 김포시 구래동 6888-4, 102동 1층20법인Y031-982-39702024-03-11
38다함께돌봄센터통진청사점경기도 김포시 통진읍 마송1로 77 통진읍 행정복지센터 신청사 별관 1층경기도 김포시 통진읍 마송리 526~527번지 통진읍 행정복지센터 신청사 별관 1층25법인Y031-981-25862024-03-11
39다함께돌봄센터양도점경기도 김포시 풍무로96번길 100, 514동 1층(풍무동)경기도 김포시 풍무로96번길 100, 514동 1층20법인Y031-988-02712024-03-11
40다함께돌봄센터양곡행복주택점경기도 김포시 양곡2로 80번길 33 LH2단지(양촌읍)경기도 김포시 양촌읍 양곡리 127820법인Y031-988-62012024-03-11