Overview

Dataset statistics

Number of variables8
Number of observations179
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory67.7 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description인천광역시 지역아동센터 현황에 대한 항목(센터명, 주소, 전화번호, 아동정원, 종사자, 운영주체)을 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103071&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구명High correlation
아동정원 is highly overall correlated with 종사자High correlation
군구명 is highly overall correlated with 연번High correlation
종사자 is highly overall correlated with 아동정원High correlation
운영주체 is highly imbalanced (55.8%)Imbalance
연번 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:56:50.243332
Analysis finished2024-03-18 04:56:53.064008
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-18T13:56:53.132253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.816986
Coefficient of variation (CV)0.57574428
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotonicityStrictly increasing
2024-03-18T13:56:53.247349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
114 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%

군구명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남동구
42 
부평구
33 
서구
30 
계양구
23 
미추홀구
15 
Other values (5)
36 

Length

Max length4
Median length3
Mean length2.8603352
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row중구
2nd row중구
3rd row중구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
남동구 42
23.5%
부평구 33
18.4%
서구 30
16.8%
계양구 23
12.8%
미추홀구 15
 
8.4%
연수구 14
 
7.8%
강화군 11
 
6.1%
동구 7
 
3.9%
중구 3
 
1.7%
옹진군 1
 
0.6%

Length

2024-03-18T13:56:53.365545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:56:53.483471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 42
23.5%
부평구 33
18.4%
서구 30
16.8%
계양구 23
12.8%
미추홀구 15
 
8.4%
연수구 14
 
7.8%
강화군 11
 
6.1%
동구 7
 
3.9%
중구 3
 
1.7%
옹진군 1
 
0.6%

시설명
Text

Distinct174
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-18T13:56:53.693908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length10.150838
Min length8

Characters and Unicode

Total characters1817
Distinct characters234
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

Unique170 ?
Unique (%)95.0%

Sample

1st row구립 연안지역아동센터
2nd row구립 월디지역아동센터
3rd row그루터기지역아동센터
4th row금창지역아동센터
5th row모리아지역아동센터
ValueCountFrequency (%)
지역아동센터 8
 
3.9%
함께걷기 4
 
1.9%
꿈나무지역아동센터 3
 
1.5%
나라찬 3
 
1.5%
공부방지역아동센터 2
 
1.0%
인천행복한돌봄 2
 
1.0%
구립 2
 
1.0%
엘림지역아동센터 2
 
1.0%
늘푸른지역아동센터 2
 
1.0%
옹기종기지역아동센터 2
 
1.0%
Other values (176) 176
85.4%
2024-03-18T13:56:54.005099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 193
 
10.6%
아 190
 
10.5%
지 186
 
10.2%
터 184
 
10.1%
역 181
 
10.0%
센 181
 
10.0%
30
 
1.7%
나 17
 
0.9%
기 15
 
0.8%
복 15
 
0.8%
Other values (224) 625
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1779
97.9%
Space Separator 30
 
1.7%
Uppercase Letter 5
 
0.3%
Decimal Number 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 193
 
10.8%
아 190
 
10.7%
지 186
 
10.5%
터 184
 
10.3%
역 181
 
10.2%
센 181
 
10.2%
나 17
 
1.0%
기 15
 
0.8%
복 15
 
0.8%
한 15
 
0.8%
Other values (215) 602
33.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
T 1
20.0%
C 1
20.0%
M 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1779
97.9%
Common 33
 
1.8%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 193
 
10.8%
아 190
 
10.7%
지 186
 
10.5%
터 184
 
10.3%
역 181
 
10.2%
센 181
 
10.2%
나 17
 
1.0%
기 15
 
0.8%
복 15
 
0.8%
한 15
 
0.8%
Other values (215) 602
33.8%
Latin
ValueCountFrequency (%)
B 1
20.0%
T 1
20.0%
C 1
20.0%
M 1
20.0%
S 1
20.0%
Common
ValueCountFrequency (%)
30
90.9%
3 1
 
3.0%
) 1
 
3.0%
( 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1779
97.9%
ASCII 38
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 193
 
10.8%
아 190
 
10.7%
지 186
 
10.5%
터 184
 
10.3%
역 181
 
10.2%
센 181
 
10.2%
나 17
 
1.0%
기 15
 
0.8%
복 15
 
0.8%
한 15
 
0.8%
Other values (215) 602
33.8%
ASCII
ValueCountFrequency (%)
30
78.9%
B 1
 
2.6%
T 1
 
2.6%
C 1
 
2.6%
3 1
 
2.6%
M 1
 
2.6%
S 1
 
2.6%
) 1
 
2.6%
( 1
 
2.6%

주소
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-18T13:56:54.291529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length24.653631
Min length14

Characters and Unicode

Total characters4413
Distinct characters191
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

Unique179 ?
Unique (%)100.0%

Sample

1st row인천광역시 축항대로86번길 38, 3층(항동7가)
2nd row인천광역시 참외전로72번길 25, 3층(전동)
3rd row인천광역시 참외전로 13번길 2, 송월아파트상가 제121-1호
4th row인천광역시 금곡로 44(금창동)
5th row인천광역시 화수로 3-7,
ValueCountFrequency (%)
인천광역시 180
 
25.4%
강화읍 7
 
1.0%
2층(효성동 5
 
0.7%
2층(만수동 5
 
0.7%
주부토로 4
 
0.6%
38 3
 
0.4%
2층(구월동 3
 
0.4%
2층(가좌동 3
 
0.4%
3층(만수동 3
 
0.4%
20 3
 
0.4%
Other values (424) 493
69.5%
2024-03-18T13:56:54.827756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
538
 
12.2%
천 191
 
4.3%
인 189
 
4.3%
시 183
 
4.1%
역 181
 
4.1%
광 180
 
4.1%
2 178
 
4.0%
동 175
 
4.0%
로 172
 
3.9%
) 169
 
3.8%
Other values (181) 2257
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2479
56.2%
Decimal Number 875
 
19.8%
Space Separator 538
 
12.2%
Close Punctuation 169
 
3.8%
Open Punctuation 169
 
3.8%
Other Punctuation 137
 
3.1%
Dash Punctuation 41
 
0.9%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 191
 
7.7%
인 189
 
7.6%
시 183
 
7.4%
역 181
 
7.3%
광 180
 
7.3%
동 175
 
7.1%
로 172
 
6.9%
길 112
 
4.5%
층 105
 
4.2%
번 98
 
4.0%
Other values (161) 893
36.0%
Decimal Number
ValueCountFrequency (%)
2 178
20.3%
1 162
18.5%
3 126
14.4%
4 77
8.8%
0 66
 
7.5%
8 62
 
7.1%
5 60
 
6.9%
7 57
 
6.5%
6 47
 
5.4%
9 40
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 134
97.8%
/ 3
 
2.2%
Space Separator
ValueCountFrequency (%)
538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2479
56.2%
Common 1931
43.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 191
 
7.7%
인 189
 
7.6%
시 183
 
7.4%
역 181
 
7.3%
광 180
 
7.3%
동 175
 
7.1%
로 172
 
6.9%
길 112
 
4.5%
층 105
 
4.2%
번 98
 
4.0%
Other values (161) 893
36.0%
Common
ValueCountFrequency (%)
538
27.9%
2 178
 
9.2%
) 169
 
8.8%
( 169
 
8.8%
1 162
 
8.4%
, 134
 
6.9%
3 126
 
6.5%
4 77
 
4.0%
0 66
 
3.4%
8 62
 
3.2%
Other values (7) 250
12.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2479
56.2%
ASCII 1934
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
538
27.8%
2 178
 
9.2%
) 169
 
8.7%
( 169
 
8.7%
1 162
 
8.4%
, 134
 
6.9%
3 126
 
6.5%
4 77
 
4.0%
0 66
 
3.4%
8 62
 
3.2%
Other values (10) 253
13.1%
Hangul
ValueCountFrequency (%)
천 191
 
7.7%
인 189
 
7.6%
시 183
 
7.4%
역 181
 
7.3%
광 180
 
7.3%
동 175
 
7.1%
로 172
 
6.9%
길 112
 
4.5%
층 105
 
4.2%
번 98
 
4.0%
Other values (161) 893
36.0%

전화번호
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-18T13:56:55.050567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.078212
Min length12

Characters and Unicode

Total characters2162
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

Unique179 ?
Unique (%)100.0%

Sample

1st row032-881-9790
2nd row032-773-0984
3rd row032-761-0964
4th row032-777-8991
5th row032-772-7142
ValueCountFrequency (%)
032-881-9790 1
 
0.6%
032-503-7598 1
 
0.6%
032-553-0455 1
 
0.6%
032-541-1090 1
 
0.6%
032-554-9111 1
 
0.6%
032-552-9012 1
 
0.6%
032-205-7212 1
 
0.6%
032-549-7375 1
 
0.6%
032-548-0679 1
 
0.6%
032-549-1474 1
 
0.6%
Other values (169) 169
94.4%
2024-03-18T13:56:55.402477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 358
16.6%
2 325
15.0%
0 311
14.4%
3 285
13.2%
5 173
8.0%
7 153
7.1%
4 145
6.7%
8 111
 
5.1%
1 106
 
4.9%
6 98
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1804
83.4%
Dash Punctuation 358
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 325
18.0%
0 311
17.2%
3 285
15.8%
5 173
9.6%
7 153
8.5%
4 145
8.0%
8 111
 
6.2%
1 106
 
5.9%
6 98
 
5.4%
9 97
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 358
16.6%
2 325
15.0%
0 311
14.4%
3 285
13.2%
5 173
8.0%
7 153
7.1%
4 145
6.7%
8 111
 
5.1%
1 106
 
4.9%
6 98
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 358
16.6%
2 325
15.0%
0 311
14.4%
3 285
13.2%
5 173
8.0%
7 153
7.1%
4 145
6.7%
8 111
 
5.1%
1 106
 
4.9%
6 98
 
4.5%

아동정원
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.810056
Minimum15
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-18T13:56:55.514557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q119
median29
Q332.5
95-th percentile36.2
Maximum49
Range34
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation7.2334825
Coefficient of variation (CV)0.26980483
Kurtosis-0.48573481
Mean26.810056
Median Absolute Deviation (MAD)6
Skewness0.43737416
Sum4799
Variance52.323269
MonotonicityNot monotonic
2024-03-18T13:56:55.630216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
19 62
34.6%
29 40
22.3%
35 29
16.2%
25 15
 
8.4%
32 6
 
3.4%
23 3
 
1.7%
40 3
 
1.7%
36 3
 
1.7%
49 2
 
1.1%
34 2
 
1.1%
Other values (13) 14
 
7.8%
ValueCountFrequency (%)
15 1
 
0.6%
17 1
 
0.6%
18 1
 
0.6%
19 62
34.6%
22 1
 
0.6%
23 3
 
1.7%
25 15
 
8.4%
26 1
 
0.6%
27 1
 
0.6%
29 40
22.3%
ValueCountFrequency (%)
49 2
 
1.1%
45 1
 
0.6%
42 1
 
0.6%
40 3
 
1.7%
39 1
 
0.6%
38 1
 
0.6%
36 3
 
1.7%
35 29
16.2%
34 2
 
1.1%
33 2
 
1.1%

종사자
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
126 
3
52 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2
2nd row3
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 126
70.4%
3 52
29.1%
1 1
 
0.6%

Length

2024-03-18T13:56:55.745792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:56:55.851189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 126
70.4%
3 52
29.1%
1 1
 
0.6%

운영주체
Categorical

IMBALANCE 

Distinct33
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
개인
127 
함께걷기 사회적협동조합
 
5
인천행복한돌봄사회적협동조합
 
5
기독교대한감리회유지재단
 
4
함께걷기사회적협동조합
 
4
Other values (28)
34 

Length

Max length18
Median length2
Mean length4.7430168
Min length2

Unique

Unique24 ?
Unique (%)13.4%

Sample

1st row재단법인 성산청소년효재단
2nd row대한성공회유지재단
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 127
70.9%
함께걷기 사회적협동조합 5
 
2.8%
인천행복한돌봄사회적협동조합 5
 
2.8%
기독교대한감리회유지재단 4
 
2.2%
함께걷기사회적협동조합 4
 
2.2%
나라찬사회적협동조합 3
 
1.7%
대한성공회유지재단 3
 
1.7%
㈜다사랑보육서비스 2
 
1.1%
사회복지법인 기아대책 2
 
1.1%
재단법인 기독교대한감리회 유지재단 1
 
0.6%
Other values (23) 23
 
12.8%

Length

2024-03-18T13:56:55.954856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개인 127
65.5%
사회적협동조합 6
 
3.1%
인천행복한돌봄사회적협동조합 5
 
2.6%
함께걷기 5
 
2.6%
기독교대한감리회유지재단 4
 
2.1%
함께걷기사회적협동조합 4
 
2.1%
재단법인 3
 
1.5%
나라찬사회적협동조합 3
 
1.5%
대한성공회유지재단 3
 
1.5%
사회복지법인 3
 
1.5%
Other values (28) 31
 
16.0%

Interactions

2024-03-18T13:56:52.680819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:56:52.422429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:56:52.761284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:56:52.582579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:56:56.028036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구명아동정원종사자운영주체
연번1.0000.9590.4210.1030.392
군구명0.9591.0000.4720.1870.638
아동정원0.4210.4721.0000.7790.559
종사자0.1030.1870.7791.0000.000
운영주체0.3920.6380.5590.0001.000
2024-03-18T13:56:56.112688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구명종사자운영주체
군구명1.0000.1100.262
종사자0.1101.0000.000
운영주체0.2620.0001.000
2024-03-18T13:56:56.189902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번아동정원군구명종사자운영주체
연번1.000-0.1200.6530.0450.146
아동정원-0.1201.0000.1520.6140.210
군구명0.6530.1521.0000.1100.262
종사자0.0450.6140.1101.0000.000
운영주체0.1460.2100.2620.0001.000

Missing values

2024-03-18T13:56:52.879569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:56:53.003831image/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

연번군구명시설명주소전화번호아동정원종사자운영주체
01중구구립 연안지역아동센터인천광역시 축항대로86번길 38, 3층(항동7가)032-881-9790292재단법인 성산청소년효재단
12중구구립 월디지역아동센터인천광역시 참외전로72번길 25, 3층(전동)032-773-0984493대한성공회유지재단
23중구그루터기지역아동센터인천광역시 참외전로 13번길 2, 송월아파트상가 제121-1호032-761-0964403개인
34동구금창지역아동센터인천광역시 금곡로 44(금창동)032-777-8991252개인
45동구모리아지역아동센터인천광역시 화수로 3-7,032-772-7142192개인
56동구민들레공부방지역아동센터인천광역시 화수로 38, 7동 105호(송현동, 동부아파트)032-762-8664252개인
67동구솔숲지역아동센터인천광역시 샛골로194번길 4-8, 2층(송림동)032-763-0186192대한성공회유지재단
78동구송현샘지역아동센터인천광역시 송림로 112-1, 3층(송림동)032-772-9037192개인
89동구푸른나무교실지역아동센터인천광역시 솔빛로91번길 7,032-773-9708353개인
910동구해와달지역아동센터인천광역시 화수로 67-1,032-765-0186192대한성공회유지재단
연번군구명시설명주소전화번호아동정원종사자운영주체
169170강화군더불어지역아동센터인천광역시 강화읍 강화대로 238, 2층(갑곳리)032-933-7755192대한성공회서울교구사회복지재단
170171강화군밝은햇살지역아동센터인천광역시 강화읍 북문길 6(관청리)032-932-3688192개인
171172강화군비전지역아동센터인천광역시 길상면 길상로 306(온수리)032-937-7173192대한감리회유지재단
172173강화군열매지역아동센터인천광역시 강화읍 갑룡길 76-17(갑곳리)032-934-9963303개인
173174강화군아름다운지역아동센터인천광역시 강화읍 동문로141번길 17-7(옥림리)032-933-6235192대한예수교장로회월곶교회
174175강화군제자지역아동센터인천광역시 강화읍 갑룡길 84(갑곳리)070-4642-2782363개인
175176강화군화도마리지역아동센터인천광역시 화도면 가능포로 37-12(상방리)032-937-9062192개인
176177강화군희망터지역아동센터인천광역시 길상면 온수길38번길 14(온수리)032-937-7811353(재)대한성공회유지재단
177178강화군강화지역아동센터인천광역시 강화읍 갑룡길117번길 28-3, 나동 102호(용정리)032-934-5123192(재)기독교대한감리회유지재단
178179옹진군영흥지역아동센터인천광역시 영흥면 영흥서로 220070-4159-2189192개인