Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory63.3 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description만6세 이상 만18세 미만 장애인복지법상 등록된 지적 및 자폐성 발달장애인 청소년에게 방과후 돌봄 서비스바우처를 제공하여 돌봄 사각지대를 해소(지역아동센터, 다함께 돌봄센터, 공동육아나눔터, 장애인 주간호보호시설(센터), 장애인평생교육시설 이용자, 청소년방과후 아카데미 참여자, 제외동포 외국인 등은 제외 대상)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103823&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique
전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:37:23.252487
Analysis finished2024-01-28 05:37:23.894875
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T14:37:23.957442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-01-28T14:37:24.071412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

군구
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
남동구(4)
4 
부평구(4)
4 
계양구(4)
4 
미추홀구(3)
3 
연수구(2)
2 
Other values (3)
4 

Length

Max length7
Median length6
Mean length5.952381
Min length5

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row중구(1)
2nd row동구(1)
3rd row미추홀구(3)
4th row미추홀구(3)
5th row미추홀구(3)

Common Values

ValueCountFrequency (%)
남동구(4) 4
19.0%
부평구(4) 4
19.0%
계양구(4) 4
19.0%
미추홀구(3) 3
14.3%
연수구(2) 2
9.5%
서구(2) 2
9.5%
중구(1) 1
 
4.8%
동구(1) 1
 
4.8%

Length

2024-01-28T14:37:24.195952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:37:24.329245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구(4 4
19.0%
부평구(4 4
19.0%
계양구(4 4
19.0%
미추홀구(3 3
14.3%
연수구(2 2
9.5%
서구(2 2
9.5%
중구(1 1
 
4.8%
동구(1 1
 
4.8%

기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:37:24.505783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length14.904762
Min length7

Characters and Unicode

Total characters313
Distinct characters92
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

Unique21 ?
Unique (%)100.0%

Sample

1st row영종 청소년 발달장애학생 방과후활동센터
2nd row동구 토닥토닥 발달장애학생 방과후활동센터
3rd row김태우심리언어연구소
4th row김윤서심리운동발달센터
5th row옹이진이스포츠진흥원 마음드림센터
ValueCountFrequency (%)
방과후활동센터 8
 
17.0%
청소년 4
 
8.5%
부평구 4
 
8.5%
발달장애학생 3
 
6.4%
발달장애인 2
 
4.3%
영종 1
 
2.1%
안다미로 1
 
2.1%
휴먼피아 1
 
2.1%
크는아이 1
 
2.1%
청소년발달장애인 1
 
2.1%
Other values (21) 21
44.7%
2024-01-28T14:37:24.811219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.3%
터 17
 
5.4%
센 17
 
5.4%
동 14
 
4.5%
발 14
 
4.5%
달 13
 
4.2%
활 10
 
3.2%
소 9
 
2.9%
방 8
 
2.6%
후 8
 
2.6%
Other values (82) 177
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
91.7%
Space Separator 26
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 17
 
5.9%
센 17
 
5.9%
동 14
 
4.9%
발 14
 
4.9%
달 13
 
4.5%
활 10
 
3.5%
소 9
 
3.1%
방 8
 
2.8%
후 8
 
2.8%
과 8
 
2.8%
Other values (81) 169
58.9%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
91.7%
Common 26
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 17
 
5.9%
센 17
 
5.9%
동 14
 
4.9%
발 14
 
4.9%
달 13
 
4.5%
활 10
 
3.5%
소 9
 
3.1%
방 8
 
2.8%
후 8
 
2.8%
과 8
 
2.8%
Other values (81) 169
58.9%
Common
ValueCountFrequency (%)
26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
91.7%
ASCII 26
 
8.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
100.0%
Hangul
ValueCountFrequency (%)
터 17
 
5.9%
센 17
 
5.9%
동 14
 
4.9%
발 14
 
4.9%
달 13
 
4.5%
활 10
 
3.5%
소 9
 
3.1%
방 8
 
2.8%
후 8
 
2.8%
과 8
 
2.8%
Other values (81) 169
58.9%

대표자
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:37:24.961945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters42
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

Unique19 ?
Unique (%)90.5%

Sample

1st row한상희
2nd row류정희
3rd row김태우
4th row김윤서
5th row이종선
ValueCountFrequency (%)
엄창식 2
 
9.5%
류정희 1
 
4.8%
김선미 1
 
4.8%
김세영 1
 
4.8%
최은희 1
 
4.8%
임소현 1
 
4.8%
이상훈 1
 
4.8%
이경주 1
 
4.8%
이훈용 1
 
4.8%
정재화 1
 
4.8%
Other values (10) 10
47.6%
2024-01-28T14:37:25.203598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.9%
이 4
 
6.3%
훈 3
 
4.8%
희 3
 
4.8%
상 2
 
3.2%
용 2
 
3.2%
창 2
 
3.2%
문 2
 
3.2%
현 2
 
3.2%
선 2
 
3.2%
Other values (32) 36
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.9%
이 4
 
6.3%
훈 3
 
4.8%
희 3
 
4.8%
상 2
 
3.2%
용 2
 
3.2%
창 2
 
3.2%
문 2
 
3.2%
현 2
 
3.2%
선 2
 
3.2%
Other values (32) 36
57.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.9%
이 4
 
6.3%
훈 3
 
4.8%
희 3
 
4.8%
상 2
 
3.2%
용 2
 
3.2%
창 2
 
3.2%
문 2
 
3.2%
현 2
 
3.2%
선 2
 
3.2%
Other values (32) 36
57.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.9%
이 4
 
6.3%
훈 3
 
4.8%
희 3
 
4.8%
상 2
 
3.2%
용 2
 
3.2%
창 2
 
3.2%
문 2
 
3.2%
현 2
 
3.2%
선 2
 
3.2%
Other values (32) 36
57.1%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:37:25.376446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length12.619048
Min length12

Characters and Unicode

Total characters265
Distinct characters17
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row032-752-0420
2nd row032-777-5532
3rd row032-821-2752 (내선 4번)
4th row032-715-8361
5th row032-751-1199
ValueCountFrequency (%)
032-752-0420 1
 
4.3%
070-4129-2760 1
 
4.3%
032-567-5155 1
 
4.3%
1588-1231(2 1
 
4.3%
032-465-8008 1
 
4.3%
032-203-3245 1
 
4.3%
070-8876-0425 1
 
4.3%
070-8285-1455 1
 
4.3%
032-505-7123 1
 
4.3%
070-8907-0322 1
 
4.3%
Other values (13) 13
56.5%
2024-01-28T14:37:25.673210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 41
15.5%
0 39
14.7%
2 39
14.7%
3 26
9.8%
5 23
8.7%
7 22
8.3%
1 20
7.5%
8 18
6.8%
4 15
 
5.7%
9 7
 
2.6%
Other values (7) 15
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 215
81.1%
Dash Punctuation 41
 
15.5%
Other Letter 3
 
1.1%
Space Separator 2
 
0.8%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
18.1%
2 39
18.1%
3 26
12.1%
5 23
10.7%
7 22
10.2%
1 20
9.3%
8 18
8.4%
4 15
 
7.0%
9 7
 
3.3%
6 6
 
2.8%
Other Letter
ValueCountFrequency (%)
내 1
33.3%
선 1
33.3%
번 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
98.9%
Hangul 3
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 41
15.6%
0 39
14.9%
2 39
14.9%
3 26
9.9%
5 23
8.8%
7 22
8.4%
1 20
7.6%
8 18
6.9%
4 15
 
5.7%
9 7
 
2.7%
Other values (4) 12
 
4.6%
Hangul
ValueCountFrequency (%)
내 1
33.3%
선 1
33.3%
번 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
98.9%
Hangul 3
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 41
15.6%
0 39
14.9%
2 39
14.9%
3 26
9.9%
5 23
8.8%
7 22
8.4%
1 20
7.6%
8 18
6.9%
4 15
 
5.7%
9 7
 
2.7%
Other values (4) 12
 
4.6%
Hangul
ValueCountFrequency (%)
내 1
33.3%
선 1
33.3%
번 1
33.3%

주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:37:25.934062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length29.285714
Min length17

Characters and Unicode

Total characters615
Distinct characters117
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

Unique21 ?
Unique (%)100.0%

Sample

1st row중구 흰바위로41, 702호 (운서동, 영종에어포트)
2nd row동구 송현로 38, 4층 (송현동, 송현프라자)
3rd row미추홀구 미추홀대로722번길 12, 5층(주안동, 한국빌딩)
4th row미추홀구 숙골로95번길 13, 503호, 503~6호(도화동, 디프라자2)
5th row인주대로 147, 3층(용현동)
ValueCountFrequency (%)
계양구 4
 
3.4%
부평구 4
 
3.4%
남동구 4
 
3.4%
4층 2
 
1.7%
3층 2
 
1.7%
용종동 2
 
1.7%
서구 2
 
1.7%
미추홀구 2
 
1.7%
6층 2
 
1.7%
만수동 2
 
1.7%
Other values (89) 90
77.6%
2024-01-28T14:37:26.286953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
15.4%
, 42
 
6.8%
동 28
 
4.6%
3 22
 
3.6%
구 22
 
3.6%
) 21
 
3.4%
( 21
 
3.4%
로 20
 
3.3%
2 19
 
3.1%
1 17
 
2.8%
Other values (107) 308
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
51.5%
Decimal Number 117
 
19.0%
Space Separator 95
 
15.4%
Other Punctuation 42
 
6.8%
Close Punctuation 21
 
3.4%
Open Punctuation 21
 
3.4%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
8.8%
구 22
 
6.9%
로 20
 
6.3%
호 13
 
4.1%
부 12
 
3.8%
층 12
 
3.8%
딩 9
 
2.8%
빌 9
 
2.8%
자 8
 
2.5%
평 7
 
2.2%
Other values (92) 177
55.8%
Decimal Number
ValueCountFrequency (%)
3 22
18.8%
2 19
16.2%
1 17
14.5%
0 15
12.8%
5 12
10.3%
4 11
9.4%
6 7
 
6.0%
9 6
 
5.1%
7 5
 
4.3%
8 3
 
2.6%
Space Separator
ValueCountFrequency (%)
95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
51.5%
Common 298
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
8.8%
구 22
 
6.9%
로 20
 
6.3%
호 13
 
4.1%
부 12
 
3.8%
층 12
 
3.8%
딩 9
 
2.8%
빌 9
 
2.8%
자 8
 
2.5%
평 7
 
2.2%
Other values (92) 177
55.8%
Common
ValueCountFrequency (%)
95
31.9%
, 42
14.1%
3 22
 
7.4%
) 21
 
7.0%
( 21
 
7.0%
2 19
 
6.4%
1 17
 
5.7%
0 15
 
5.0%
5 12
 
4.0%
4 11
 
3.7%
Other values (5) 23
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
51.5%
ASCII 298
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
31.9%
, 42
14.1%
3 22
 
7.4%
) 21
 
7.0%
( 21
 
7.0%
2 19
 
6.4%
1 17
 
5.7%
0 15
 
5.0%
5 12
 
4.0%
4 11
 
3.7%
Other values (5) 23
 
7.7%
Hangul
ValueCountFrequency (%)
동 28
 
8.8%
구 22
 
6.9%
로 20
 
6.3%
호 13
 
4.1%
부 12
 
3.8%
층 12
 
3.8%
딩 9
 
2.8%
빌 9
 
2.8%
자 8
 
2.5%
평 7
 
2.2%
Other values (92) 177
55.8%

비고
Text

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:37:26.431576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.47619
Min length13

Characters and Unicode

Total characters283
Distinct characters15
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

Unique11 ?
Unique (%)52.4%

Sample

1st row2022-08-14 재지정
2nd row2021-08-30 지정
3rd row2022-09-16 재지정
4th row2021-07-12 지정
5th row2023-06-15 지정
ValueCountFrequency (%)
지정 11
26.2%
재지정 10
23.8%
2022-09-01 5
11.9%
2022-04-01 4
 
9.5%
2022-09-24 3
 
7.1%
2022-08-14 1
 
2.4%
2021-08-30 1
 
2.4%
2022-09-16 1
 
2.4%
2021-07-12 1
 
2.4%
2023-06-15 1
 
2.4%
Other values (4) 4
 
9.5%
2024-01-28T14:37:26.669132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 62
21.9%
0 55
19.4%
- 42
14.8%
1 23
 
8.1%
21
 
7.4%
지 21
 
7.4%
정 21
 
7.4%
9 10
 
3.5%
재 10
 
3.5%
4 8
 
2.8%
Other values (5) 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
59.4%
Other Letter 52
 
18.4%
Dash Punctuation 42
 
14.8%
Space Separator 21
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 62
36.9%
0 55
32.7%
1 23
 
13.7%
9 10
 
6.0%
4 8
 
4.8%
3 3
 
1.8%
8 2
 
1.2%
6 2
 
1.2%
7 2
 
1.2%
5 1
 
0.6%
Other Letter
ValueCountFrequency (%)
지 21
40.4%
정 21
40.4%
재 10
19.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
81.6%
Hangul 52
 
18.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 62
26.8%
0 55
23.8%
- 42
18.2%
1 23
 
10.0%
21
 
9.1%
9 10
 
4.3%
4 8
 
3.5%
3 3
 
1.3%
8 2
 
0.9%
6 2
 
0.9%
Other values (2) 3
 
1.3%
Hangul
ValueCountFrequency (%)
지 21
40.4%
정 21
40.4%
재 10
19.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
81.6%
Hangul 52
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 62
26.8%
0 55
23.8%
- 42
18.2%
1 23
 
10.0%
21
 
9.1%
9 10
 
4.3%
4 8
 
3.5%
3 3
 
1.3%
8 2
 
0.9%
6 2
 
0.9%
Other values (2) 3
 
1.3%
Hangul
ValueCountFrequency (%)
지 21
40.4%
정 21
40.4%
재 10
19.2%

Interactions

2024-01-28T14:37:23.623078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:37:26.764835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구기관명대표자전화번호주소비고
연번1.0000.8001.0000.9481.0001.0000.869
군구0.8001.0001.0000.9571.0001.0000.980
기관명1.0001.0001.0001.0001.0001.0001.000
대표자0.9480.9571.0001.0001.0001.0000.960
전화번호1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
비고0.8690.9801.0000.9601.0001.0001.000
2024-01-28T14:37:26.852390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구
연번1.0000.710
군구0.7101.000

Missing values

2024-01-28T14:37:23.747231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:37:23.848269image/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

연번군구기관명대표자전화번호주소비고
01중구(1)영종 청소년 발달장애학생 방과후활동센터한상희032-752-0420중구 흰바위로41, 702호 (운서동, 영종에어포트)2022-08-14 재지정
12동구(1)동구 토닥토닥 발달장애학생 방과후활동센터류정희032-777-5532동구 송현로 38, 4층 (송현동, 송현프라자)2021-08-30 지정
23미추홀구(3)김태우심리언어연구소김태우032-821-2752 (내선 4번)미추홀구 미추홀대로722번길 12, 5층(주안동, 한국빌딩)2022-09-16 재지정
34미추홀구(3)김윤서심리운동발달센터김윤서032-715-8361미추홀구 숙골로95번길 13, 503호, 503~6호(도화동, 디프라자2)2021-07-12 지정
45미추홀구(3)옹이진이스포츠진흥원 마음드림센터이종선032-751-1199인주대로 147, 3층(용현동)2023-06-15 지정
56연수구(2)해오름심리발달센터김현숙032-818-7282연수구 앵고개로 260, 301~303호(동춘동, 맘모스빌딩)2022-10-01 재지정
67연수구(2)다원아동발달센터오로사032-833-7492연수구 청량로155번길 21, 1층(옥련동)2022-11-01 지정
78남동구(4)다지기심리운동연구소문대훈032-437-2144남동구 구월로 223, 504호 (구월동, 위너스프라자)2022-09-01 재지정
89남동구(4)참빛문화예술학교남기용032-508-7003남동구 장자로 35, 3층 (장수동, 하늘빌딩)2022-09-01 재지정
910남동구(4)누리자립장애인생활센터문종권070-5097-1481남동구 소래로 634, 6층 (만수동, 민속빌딩)2022-09-01 재지정
연번군구기관명대표자전화번호주소비고
1112부평구(4)점프하이 부평구 청소년 발달장애학생 방과후활동센터정재화032-518-2941부평구 부영로 189번길 51, 401호, 4022호(산곡동, 오남프라자)2022-09-24 재지정
1213부평구(4)바울 부평구 청소년 발달장애인 방과후활동센터이훈용070-8907-0322부평구 신트리로 6번길 6, 7층(부평동, 혜성빌딩)2022-09-24 지정
1314부평구(4)휴먼피아 부평구 청소년 발달장애인 방과후활동센터이경주032-505-7123부평구 부평대로 152, 201호, 202호(부평동, 파리상뜨상가)2022-09-24 지정
1415부평구(4)크는아이 부평구 청소년발달장애인 방과후활동센터엄창식070-8285-1455부평구 동수천로 132, 301호(부개동, 부개빌딩)2020-07-13 지정
1516계양구(4)안다미로 소아청소년발달센터이상훈070-8876-0425계양구 주부토로 399, 4층(작전동, 푸른프라자)2022-04-01 재지정
1617계양구(4)사랑아동발달 방과후활동센터임소현032-203-3245계양구 용마루3길 3, 1층 (용종동)2021-09-01 지정
1718계양구(4)자립자활주간 방과후활동센터최은희032-465-8008계양구 경명대로 1023, 4층 일부호(계산동, 태진빌딩)2022-04-01 지정
1819계양구(4)아이봄계양아동 발달센터김세영1588-1231(2)계양구 계산새로 89, 505호 (용종동, 대림프라자)2022-04-01 지정
1920서구(2)인천장애인능력개발문화센터김선미032-567-5155서구 심곡로 93, 3층 (심곡동, 숙원빌딩)2022-04-01 재지정
2021서구(2)다지기에듀케어유연수032-562-2144서구 염곡로 472, 403호 (가정동, 대건프라자)2022-09-01 지정