Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory79.7 B

Variable types

Numeric2
Categorical2
Text4
DateTime1

Dataset

Description인천광역시 장애인거주시설 현황을 제공하고 있습니다. 시설유형, 시설명, 소재지, 정원, 전화번호, 설치일, 운영주체 등의 항목을 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104066&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
설치일 has unique valuesUnique

Reproduction

Analysis started2024-01-28 17:50:35.118204
Analysis finished2024-01-28 17:50:35.927583
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T02:50:35.981508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-01-29T02:50:36.079603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
생활시설
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활시설 23
100.0%

Length

2024-01-29T02:50:36.492405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:50:36.572302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활시설 23
100.0%

시설유형
Categorical

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
중증장애인
10 
지적장애인
7 
지체장애인
2 
시각장애인
 
1
청각장애인
 
1
Other values (2)
2 

Length

Max length5
Median length5
Mean length4.8695652
Min length2

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row지체장애인
2nd row지체장애인
3rd row시각장애인
4th row청각장애인
5th row지적장애인

Common Values

ValueCountFrequency (%)
중증장애인 10
43.5%
지적장애인 7
30.4%
지체장애인 2
 
8.7%
시각장애인 1
 
4.3%
청각장애인 1
 
4.3%
영유아시설 1
 
4.3%
중증 1
 
4.3%

Length

2024-01-29T02:50:36.652165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:50:36.768037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중증장애인 10
43.5%
지적장애인 7
30.4%
지체장애인 2
 
8.7%
시각장애인 1
 
4.3%
청각장애인 1
 
4.3%
영유아시설 1
 
4.3%
중증 1
 
4.3%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-29T02:50:36.936415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.0869565
Min length2

Characters and Unicode

Total characters94
Distinct characters58
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

Unique23 ?
Unique (%)100.0%

Sample

1st row성촌의집
2nd row은광원
3rd row인천광명원
4th row성동원
5th row예림원
ValueCountFrequency (%)
성촌의집 1
 
4.0%
하늘채 1
 
4.0%
쉴만한 1
 
4.0%
평화의집 1
 
4.0%
희락원 1
 
4.0%
동심원 1
 
4.0%
해피타운 1
 
4.0%
장봉혜림요양원 1
 
4.0%
색동원 1
 
4.0%
예닮 1
 
4.0%
Other values (15) 15
60.0%
2024-01-29T02:50:37.230515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 12
 
12.8%
의 5
 
5.3%
집 5
 
5.3%
동 3
 
3.2%
예 3
 
3.2%
림 3
 
3.2%
성 2
 
2.1%
장 2
 
2.1%
2
 
2.1%
내 2
 
2.1%
Other values (48) 55
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
97.9%
Space Separator 2
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 12
 
13.0%
의 5
 
5.4%
집 5
 
5.4%
동 3
 
3.3%
예 3
 
3.3%
림 3
 
3.3%
성 2
 
2.2%
장 2
 
2.2%
내 2
 
2.2%
한 2
 
2.2%
Other values (47) 53
57.6%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
97.9%
Common 2
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 12
 
13.0%
의 5
 
5.4%
집 5
 
5.4%
동 3
 
3.3%
예 3
 
3.3%
림 3
 
3.3%
성 2
 
2.2%
장 2
 
2.2%
내 2
 
2.2%
한 2
 
2.2%
Other values (47) 53
57.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
97.9%
ASCII 2
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 12
 
13.0%
의 5
 
5.4%
집 5
 
5.4%
동 3
 
3.3%
예 3
 
3.3%
림 3
 
3.3%
성 2
 
2.2%
장 2
 
2.2%
내 2
 
2.2%
한 2
 
2.2%
Other values (47) 53
57.6%
ASCII
ValueCountFrequency (%)
2
100.0%

소 재 지
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-29T02:50:37.448931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length18.217391
Min length12

Characters and Unicode

Total characters419
Distinct characters78
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

Unique17 ?
Unique (%)73.9%

Sample

1st row부평구 경인로 701번길 26 (십정동)
2nd row부평구 마분로 8(부개동)
3rd row부평구 경인로 769번길 27(십정동)
4th row부평구 경인로 880(부평동)
5th row부평구 동수로 87(부평동)
ValueCountFrequency (%)
부평구 7
 
7.9%
경인로 4
 
4.5%
강화군 4
 
4.5%
연수구 3
 
3.4%
옹진군 3
 
3.4%
26 2
 
2.2%
26번길 2
 
2.2%
미추홀구 2
 
2.2%
701번길 2
 
2.2%
십정동 2
 
2.2%
Other values (52) 58
65.2%
2024-01-29T02:50:37.773083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
15.8%
동 22
 
5.3%
로 19
 
4.5%
길 17
 
4.1%
구 16
 
3.8%
2 15
 
3.6%
) 15
 
3.6%
( 15
 
3.6%
8 13
 
3.1%
6 12
 
2.9%
Other values (68) 209
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
55.8%
Decimal Number 85
 
20.3%
Space Separator 66
 
15.8%
Close Punctuation 15
 
3.6%
Open Punctuation 15
 
3.6%
Dash Punctuation 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
9.4%
로 19
 
8.1%
길 17
 
7.3%
구 16
 
6.8%
번 11
 
4.7%
부 10
 
4.3%
평 9
 
3.8%
군 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
Other values (54) 111
47.4%
Decimal Number
ValueCountFrequency (%)
2 15
17.6%
8 13
15.3%
6 12
14.1%
1 12
14.1%
4 8
9.4%
7 8
9.4%
0 7
8.2%
3 4
 
4.7%
9 3
 
3.5%
5 3
 
3.5%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
55.8%
Common 185
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
9.4%
로 19
 
8.1%
길 17
 
7.3%
구 16
 
6.8%
번 11
 
4.7%
부 10
 
4.3%
평 9
 
3.8%
군 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
Other values (54) 111
47.4%
Common
ValueCountFrequency (%)
66
35.7%
2 15
 
8.1%
) 15
 
8.1%
( 15
 
8.1%
8 13
 
7.0%
6 12
 
6.5%
1 12
 
6.5%
4 8
 
4.3%
7 8
 
4.3%
0 7
 
3.8%
Other values (4) 14
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
55.8%
ASCII 185
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
35.7%
2 15
 
8.1%
) 15
 
8.1%
( 15
 
8.1%
8 13
 
7.0%
6 12
 
6.5%
1 12
 
6.5%
4 8
 
4.3%
7 8
 
4.3%
0 7
 
3.8%
Other values (4) 14
 
7.6%
Hangul
ValueCountFrequency (%)
동 22
 
9.4%
로 19
 
8.1%
길 17
 
7.3%
구 16
 
6.8%
번 11
 
4.7%
부 10
 
4.3%
평 9
 
3.8%
군 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
Other values (54) 111
47.4%

정원
Real number (ℝ)

Distinct14
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.391304
Minimum10
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T02:50:37.900952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.3
Q130
median40
Q353
95-th percentile70
Maximum74
Range64
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.157741
Coefficient of variation (CV)0.42833645
Kurtosis-0.68580068
Mean42.391304
Median Absolute Deviation (MAD)10
Skewness-0.036567018
Sum975
Variance329.70356
MonotonicityNot monotonic
2024-01-29T02:50:38.004579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
50 4
17.4%
30 3
13.0%
70 2
8.7%
32 2
8.7%
40 2
8.7%
60 2
8.7%
35 1
 
4.3%
74 1
 
4.3%
51 1
 
4.3%
15 1
 
4.3%
Other values (4) 4
17.4%
ValueCountFrequency (%)
10 1
 
4.3%
12 1
 
4.3%
15 1
 
4.3%
29 1
 
4.3%
30 3
13.0%
32 2
8.7%
35 1
 
4.3%
40 2
8.7%
50 4
17.4%
51 1
 
4.3%
ValueCountFrequency (%)
74 1
 
4.3%
70 2
8.7%
60 2
8.7%
55 1
 
4.3%
51 1
 
4.3%
50 4
17.4%
40 2
8.7%
35 1
 
4.3%
32 2
8.7%
30 3
13.0%

전화번호
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-29T02:50:38.167558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique21 ?
Unique (%)91.3%

Sample

1st row032-422-0573
2nd row032-501-0105
3rd row032-514-1956
4th row032-522-2984
5th row032-525-6043
ValueCountFrequency (%)
032-751-8051 2
 
8.7%
032-422-0573 1
 
4.3%
032-465-6640 1
 
4.3%
032-427-4145 1
 
4.3%
032-777-4117 1
 
4.3%
032-818-4737 1
 
4.3%
032-465-1540 1
 
4.3%
032-362-9300 1
 
4.3%
032-934-0630 1
 
4.3%
032-933-2640 1
 
4.3%
Other values (12) 12
52.2%
2024-01-29T02:50:38.455259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
17.4%
- 46
16.7%
2 36
13.0%
3 35
12.7%
5 24
8.7%
4 20
7.2%
7 19
 
6.9%
1 15
 
5.4%
6 13
 
4.7%
8 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
20.9%
2 36
15.7%
3 35
15.2%
5 24
10.4%
4 20
8.7%
7 19
 
8.3%
1 15
 
6.5%
6 13
 
5.7%
8 11
 
4.8%
9 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
17.4%
- 46
16.7%
2 36
13.0%
3 35
12.7%
5 24
8.7%
4 20
7.2%
7 19
 
6.9%
1 15
 
5.4%
6 13
 
4.7%
8 11
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
17.4%
- 46
16.7%
2 36
13.0%
3 35
12.7%
5 24
8.7%
4 20
7.2%
7 19
 
6.9%
1 15
 
5.4%
6 13
 
4.7%
8 11
 
4.0%

설치일
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1952-02-01 00:00:00
Maximum2021-01-01 00:00:00
2024-01-29T02:50:38.565419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T02:50:38.669894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

운영주체
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-29T02:50:38.833841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length7.2173913
Min length2

Characters and Unicode

Total characters166
Distinct characters51
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)60.9%

Sample

1st row사복)성촌재단
2nd row사복)은광복지재단
3rd row사복)광명복지재단
4th row사복)성원
5th row사복)손과손
ValueCountFrequency (%)
개인 3
 
12.0%
사복)성촌재단 2
 
8.0%
사복)백십자사 2
 
8.0%
사복)인천다비다원 2
 
8.0%
사복)네트워크 1
 
4.0%
사복)손과손 1
 
4.0%
사복)인정재단 1
 
4.0%
사복)성원 1
 
4.0%
사회복지재단 1
 
4.0%
서울교구 1
 
4.0%
Other values (10) 10
40.0%
2024-01-29T02:50:39.123036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 24
 
14.5%
복 23
 
13.9%
) 20
 
12.0%
인 7
 
4.2%
단 6
 
3.6%
원 6
 
3.6%
재 6
 
3.6%
성 4
 
2.4%
다 4
 
2.4%
회 4
 
2.4%
Other values (41) 62
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
86.7%
Close Punctuation 20
 
12.0%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 24
16.7%
복 23
16.0%
인 7
 
4.9%
단 6
 
4.2%
원 6
 
4.2%
재 6
 
4.2%
성 4
 
2.8%
다 4
 
2.8%
회 4
 
2.8%
광 3
 
2.1%
Other values (39) 57
39.6%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
86.7%
Common 22
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 24
16.7%
복 23
16.0%
인 7
 
4.9%
단 6
 
4.2%
원 6
 
4.2%
재 6
 
4.2%
성 4
 
2.8%
다 4
 
2.8%
회 4
 
2.8%
광 3
 
2.1%
Other values (39) 57
39.6%
Common
ValueCountFrequency (%)
) 20
90.9%
2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
86.7%
ASCII 22
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 24
16.7%
복 23
16.0%
인 7
 
4.9%
단 6
 
4.2%
원 6
 
4.2%
재 6
 
4.2%
성 4
 
2.8%
다 4
 
2.8%
회 4
 
2.8%
광 3
 
2.1%
Other values (39) 57
39.6%
ASCII
ValueCountFrequency (%)
) 20
90.9%
2
 
9.1%

Interactions

2024-01-29T02:50:35.557087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T02:50:35.422727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T02:50:35.640487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T02:50:35.486304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T02:50:39.208475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설명소 재 지정원전화번호설치일운영주체
연번1.0000.7071.0000.7980.6920.8911.0000.909
시설유형0.7071.0001.0000.4630.7640.9741.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소 재 지0.7980.4631.0001.0000.9691.0001.0001.000
정원0.6920.7641.0000.9691.0000.9141.0000.793
전화번호0.8910.9741.0001.0000.9141.0001.0001.000
설치일1.0001.0001.0001.0001.0001.0001.0001.000
운영주체0.9090.0001.0001.0000.7931.0001.0001.000
2024-01-29T02:50:39.307922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원시설유형
연번1.000-0.4110.390
정원-0.4111.0000.341
시설유형0.3900.3411.000

Missing values

2024-01-29T02:50:35.750229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:50:35.878070image/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

연번구분시설유형시설명소 재 지정원전화번호설치일운영주체
01생활시설지체장애인성촌의집부평구 경인로 701번길 26 (십정동)35032-422-05731952-02-01사복)성촌재단
12생활시설지체장애인은광원부평구 마분로 8(부개동)74032-501-01051976-06-01사복)은광복지재단
23생활시설시각장애인인천광명원부평구 경인로 769번길 27(십정동)70032-514-19561958-01-07사복)광명복지재단
34생활시설청각장애인성동원부평구 경인로 880(부평동)50032-522-29841953-09-21사복)성원
45생활시설지적장애인예림원부평구 동수로 87(부평동)70032-525-60431982-02-01사복)손과손
56생활시설지적장애인인정재활원서구 서달로123번 안길 24 (석남동)32032-574-02501970-06-13사복)인정재단
67생활시설지적장애인장봉혜림원옹진군 북도면 장봉로 26번길 21851032-751-80511985-06-18사복)백십자사
78생활시설지적장애인우리들의집부평구 경인로 701번길 26 (십정동)32032-433-79072006-12-14사복)성촌재단
89생활시설지적장애인요한의집강화군 길상면 해란길 63-130032-937-08602016-11-01사복)대한성공회 서울교구 사회복지재단
910생활시설중증장애인브솔시내미추홀구 동산로 4(도화동)40032-515-00662011-04-26사복)네트워크
연번구분시설유형시설명소 재 지정원전화번호설치일운영주체
1314생활시설중증장애인예원계양구 둑실안길 54(둑실동)50032-544-56802010-03-16사복)예원
1415생활시설중증장애인샬롬원강화군 교동면 교동서로 412번길 184-9430032-933-26402006-10-24사복)기독교대한감리회
1516생활시설중증장애인예닮강화군 강화읍 갑룡길 206번길 6660032-934-06302008-08-28사복)예닮
1617생활시설중증장애인색동원강화군 길상면 장촌길 3160032-362-93002008-11-17사복)색동원
1718생활시설중증장애인장봉혜림요양원옹진군 북도면 장봉로 26번길 21855032-751-80511998-07-01사복)백십자사
1819생활시설중증장애인해피타운옹진군 영흥면 영흥서로 277-3640032-465-15402009-01-12사복)미선
1920생활시설영유아시설동심원연수구 봉재산로 68(동춘동)50032-818-47372001-02-06사복)인천다비다원
2021생활시설중증희락원중구 송학로 48(내동)29032-777-41172018-09-04개인
2122생활시설지적장애인평화의집연수구 경원대로 588번길 5(선학동)12032-427-41452010-12-03개인
2223생활시설지적장애인쉴만한 물가의집부평구 원적로 421번길 9-12(산곡동)10032-277-95952005-06-01개인