Overview

Dataset statistics

Number of variables9
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory75.3 B

Variable types

Numeric1
Text4
Categorical2
DateTime2

Dataset

Description강북구 관내의 재가장기요양기관(기관명, 급여종류, 설립구분, 지정일자, 소재지, 기관전화번호 등)에 대한 정보
URLhttps://www.data.go.kr/data/15055385/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
설립구분 is highly imbalanced (87.4%)Imbalance
연번 has unique valuesUnique
기관명 has unique valuesUnique
기관주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:04:34.522467
Analysis finished2023-12-12 15:04:35.309754
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-13T00:04:35.397888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-13T00:04:35.533085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

기관명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-13T00:04:35.767899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.2931034
Min length5

Characters and Unicode

Total characters539
Distinct characters125
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

Unique58 ?
Unique (%)100.0%

Sample

1st row"A"강북복지용구.의료기
2nd row(A)비지팅엔젤스 강북지점
3rd row(A)비지팅엔젤스강북미아지점
4th rowe사랑재가요양센터
5th row가나안노인복지지원센터
ValueCountFrequency (%)
a"강북복지용구.의료기 1
 
1.5%
조이방문요양센터 1
 
1.5%
수산나재가복지센터 1
 
1.5%
아리아케어 1
 
1.5%
방문요양 1
 
1.5%
강북 1
 
1.5%
수유센터 1
 
1.5%
열린방문요양센터 1
 
1.5%
예닮노인복지센터 1
 
1.5%
예원방문요양센터 1
 
1.5%
Other values (56) 56
84.8%
2023-12-13T00:04:36.167528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 50
 
9.3%
센 50
 
9.3%
지 38
 
7.1%
복 33
 
6.1%
가 29
 
5.4%
재 26
 
4.8%
요 17
 
3.2%
인 16
 
3.0%
노 16
 
3.0%
양 16
 
3.0%
Other values (115) 248
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
96.1%
Space Separator 8
 
1.5%
Uppercase Letter 3
 
0.6%
Other Punctuation 3
 
0.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
Other Punctuation
ValueCountFrequency (%)
" 2
66.7%
. 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
96.1%
Common 17
 
3.2%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
Common
ValueCountFrequency (%)
8
47.1%
( 2
 
11.8%
) 2
 
11.8%
" 2
 
11.8%
2 1
 
5.9%
1 1
 
5.9%
. 1
 
5.9%
Latin
ValueCountFrequency (%)
A 3
75.0%
e 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
96.1%
ASCII 21
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
ASCII
ValueCountFrequency (%)
8
38.1%
A 3
 
14.3%
( 2
 
9.5%
) 2
 
9.5%
" 2
 
9.5%
2 1
 
4.8%
1 1
 
4.8%
e 1
 
4.8%
. 1
 
4.8%

급여종류
Categorical

Distinct7
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
방문요양,방문목욕
40 
방문요양
8 
복지용구제공사업소
 
4
방문목욕
 
2
방문요양,방문목욕,방문간호
 
2
Other values (2)
 
2

Length

Max length19
Median length9
Mean length8.5862069
Min length4

Unique

Unique2 ?
Unique (%)3.4%

Sample

1st row복지용구제공사업소
2nd row방문요양,방문목욕
3rd row방문요양,방문목욕
4th row방문요양,방문목욕
5th row방문요양,방문목욕

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 40
69.0%
방문요양 8
 
13.8%
복지용구제공사업소 4
 
6.9%
방문목욕 2
 
3.4%
방문요양,방문목욕,방문간호 2
 
3.4%
방문요양,방문목욕,주야간보호 1
 
1.7%
방문요양,방문목욕,복지용구제공사업소 1
 
1.7%

Length

2023-12-13T00:04:36.320864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:04:36.467320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양,방문목욕 40
69.0%
방문요양 8
 
13.8%
복지용구제공사업소 4
 
6.9%
방문목욕 2
 
3.4%
방문요양,방문목욕,방문간호 2
 
3.4%
방문요양,방문목욕,주야간보호 1
 
1.7%
방문요양,방문목욕,복지용구제공사업소 1
 
1.7%

설립구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
개인
57 
법인
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
개인 57
98.3%
법인 1
 
1.7%

Length

2023-12-13T00:04:36.614118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:04:36.735817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 57
98.3%
법인 1
 
1.7%

지정일자
Date

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2008-07-14 00:00:00
Maximum2020-01-02 00:00:00
2023-12-13T00:04:36.851974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:37.008581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기관주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-13T00:04:37.354222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length30.948276
Min length22

Characters and Unicode

Total characters1795
Distinct characters89
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

Unique58 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 삼양로20길 53, 지층 (미아동)
2nd row서울특별시 강북구 덕릉로40길 14, 2층 (번동)
3rd row서울특별시 강북구 삼양로 171, 2층 (미아동)
4th row서울특별시 강북구 노해로33길 42, 1층 (수유동)
5th row서울특별시 강북구 도봉로 328, 1206호 (번동)
ValueCountFrequency (%)
서울특별시 58
 
16.1%
강북구 58
 
16.1%
수유동 26
 
7.2%
미아동 16
 
4.4%
1층 13
 
3.6%
번동 12
 
3.3%
2층 10
 
2.8%
도봉로 5
 
1.4%
삼양로 5
 
1.4%
삼각산로 4
 
1.1%
Other values (124) 154
42.7%
2023-12-13T00:04:37.918447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
 
16.9%
1 76
 
4.2%
동 65
 
3.6%
, 63
 
3.5%
시 59
 
3.3%
구 59
 
3.3%
서 58
 
3.2%
로 58
 
3.2%
울 58
 
3.2%
( 58
 
3.2%
Other values (79) 938
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 994
55.4%
Decimal Number 309
 
17.2%
Space Separator 303
 
16.9%
Other Punctuation 63
 
3.5%
Open Punctuation 58
 
3.2%
Close Punctuation 58
 
3.2%
Dash Punctuation 7
 
0.4%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
특 58
 
5.8%
별 58
 
5.8%
강 58
 
5.8%
북 58
 
5.8%
Other values (63) 405
40.7%
Decimal Number
ValueCountFrequency (%)
1 76
24.6%
2 47
15.2%
3 39
12.6%
0 28
 
9.1%
7 26
 
8.4%
4 25
 
8.1%
5 19
 
6.1%
6 19
 
6.1%
9 17
 
5.5%
8 13
 
4.2%
Space Separator
ValueCountFrequency (%)
303
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
55.4%
Common 798
44.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
특 58
 
5.8%
별 58
 
5.8%
강 58
 
5.8%
북 58
 
5.8%
Other values (63) 405
40.7%
Common
ValueCountFrequency (%)
303
38.0%
1 76
 
9.5%
, 63
 
7.9%
( 58
 
7.3%
) 58
 
7.3%
2 47
 
5.9%
3 39
 
4.9%
0 28
 
3.5%
7 26
 
3.3%
4 25
 
3.1%
Other values (5) 75
 
9.4%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 994
55.4%
ASCII 801
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
37.8%
1 76
 
9.5%
, 63
 
7.9%
( 58
 
7.2%
) 58
 
7.2%
2 47
 
5.9%
3 39
 
4.9%
0 28
 
3.5%
7 26
 
3.2%
4 25
 
3.1%
Other values (6) 78
 
9.7%
Hangul
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
특 58
 
5.8%
별 58
 
5.8%
강 58
 
5.8%
북 58
 
5.8%
Other values (63) 405
40.7%

기관전화번호
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-13T00:04:38.192472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.172414
Min length11

Characters and Unicode

Total characters648
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

Unique56 ?
Unique (%)96.6%

Sample

1st row02-983-9888
2nd row02-994-5008
3rd row02-983-0921
4th row02-908-1275
5th row02-6084-6974
ValueCountFrequency (%)
02-987-8879 2
 
3.4%
02-983-9888 1
 
1.7%
02-903-4332 1
 
1.7%
02-985-8988 1
 
1.7%
02-907-3832 1
 
1.7%
02-956-9560 1
 
1.7%
02-900-9133 1
 
1.7%
02-985-3610 1
 
1.7%
02-988-6622 1
 
1.7%
02-989-2959 1
 
1.7%
Other values (47) 47
81.0%
2023-12-13T00:04:38.644285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 100
15.4%
2 90
13.9%
8 56
8.6%
7 40
 
6.2%
3 32
 
4.9%
4 30
 
4.6%
6 28
 
4.3%
1 28
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 532
82.1%
Dash Punctuation 116
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
19.4%
9 100
18.8%
2 90
16.9%
8 56
10.5%
7 40
 
7.5%
3 32
 
6.0%
4 30
 
5.6%
6 28
 
5.3%
1 28
 
5.3%
5 25
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 100
15.4%
2 90
13.9%
8 56
8.6%
7 40
 
6.2%
3 32
 
4.9%
4 30
 
4.6%
6 28
 
4.3%
1 28
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 100
15.4%
2 90
13.9%
8 56
8.6%
7 40
 
6.2%
3 32
 
4.9%
4 30
 
4.6%
6 28
 
4.3%
1 28
 
4.3%

팩스번호
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-13T00:04:38.950710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.310345
Min length11

Characters and Unicode

Total characters656
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

Unique56 ?
Unique (%)96.6%

Sample

1st row02-3423-0094
2nd row02-994-5009
3rd row02-6219-0921
4th row02-907-1275
5th row02-6084-6975
ValueCountFrequency (%)
02-987-8870 2
 
3.4%
02-3423-0094 1
 
1.7%
02-990-4333 1
 
1.7%
02-986-8988 1
 
1.7%
070-8285-1015 1
 
1.7%
02-956-9561 1
 
1.7%
070-8234-3618 1
 
1.7%
02-983-3610 1
 
1.7%
02-945-6626 1
 
1.7%
02-989-2960 1
 
1.7%
Other values (47) 47
81.0%
2023-12-13T00:04:39.427480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
82.3%
Dash Punctuation 116
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
21.3%
9 85
15.7%
2 79
14.6%
8 55
10.2%
7 39
 
7.2%
6 39
 
7.2%
4 37
 
6.9%
1 36
 
6.7%
3 30
 
5.6%
5 25
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2023-05-26 00:00:00
Maximum2023-05-26 00:00:00
2023-12-13T00:04:39.554998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:39.658787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:04:34.961689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:04:39.756695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명급여종류설립구분지정일자기관주소기관전화번호팩스번호
연번1.0001.0000.3340.2491.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.000
급여종류0.3341.0001.0000.0000.9641.0000.9640.964
설립구분0.2491.0000.0001.0001.0001.0001.0001.000
지정일자1.0001.0000.9641.0001.0001.0001.0001.000
기관주소1.0001.0001.0001.0001.0001.0001.0001.000
기관전화번호1.0001.0000.9641.0001.0001.0001.0001.000
팩스번호1.0001.0000.9641.0001.0001.0001.0001.000
2023-12-13T00:04:39.882738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류설립구분
급여종류1.0000.000
설립구분0.0001.000
2023-12-13T00:04:40.288964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류설립구분
연번1.0000.1620.169
급여종류0.1621.0000.000
설립구분0.1690.0001.000

Missing values

2023-12-13T00:04:35.096157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:04:35.254369image/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

연번기관명급여종류설립구분지정일자기관주소기관전화번호팩스번호데이터기준일자
01"A"강북복지용구.의료기복지용구제공사업소개인2016-11-25서울특별시 강북구 삼양로20길 53, 지층 (미아동)02-983-988802-3423-00942023-05-26
12(A)비지팅엔젤스 강북지점방문요양,방문목욕개인2009-07-06서울특별시 강북구 덕릉로40길 14, 2층 (번동)02-994-500802-994-50092023-05-26
23(A)비지팅엔젤스강북미아지점방문요양,방문목욕개인2014-03-18서울특별시 강북구 삼양로 171, 2층 (미아동)02-983-092102-6219-09212023-05-26
34e사랑재가요양센터방문요양,방문목욕개인2016-04-11서울특별시 강북구 노해로33길 42, 1층 (수유동)02-908-127502-907-12752023-05-26
45가나안노인복지지원센터방문요양,방문목욕개인2011-07-01서울특별시 강북구 도봉로 328, 1206호 (번동)02-6084-697402-6084-69752023-05-26
56가족재가복지센터방문요양,방문목욕개인2018-03-12서울특별시 강북구 인수봉로 252, 2층 (수유동)02-998-220202-998-22032023-05-26
67강북광산데이케어센터방문요양,방문목욕,주야간보호개인2017-09-25서울특별시 강북구 노해로 87, 4,5층 (수유동)02-991-145702-991-14552023-05-26
78강북믿음재가복지센터방문요양개인2016-06-30서울특별시 강북구 삼양로54길 42, 1층 (미아동)02-927-629202-980-62932023-05-26
89강북효심요양원1방문요양개인2018-09-01서울특별시 강북구 삼양로77가길 9, 4층 (수유동)02-987-887902-987-88702023-05-26
910강북효심요양원2방문요양,방문목욕개인2018-09-01서울특별시 강북구 삼양로77가길 9, 지하1층,2층 (수유동)02-987-887902-987-88702023-05-26
연번기관명급여종류설립구분지정일자기관주소기관전화번호팩스번호데이터기준일자
4849한결방문요양센터방문요양,방문목욕개인2020-01-02서울특별시 강북구 오패산로30길 30, 상가동 106호 (미아동, 경남아너스빌)02-984-777302-984-77742023-05-26
4950한마음재가방문요양센터방문요양,방문목욕개인2009-04-30서울특별시 강북구 도봉로 88 (미아동)02-6497-139902-903-41382023-05-26
5051한사랑재가복지센터방문요양,방문목욕개인2017-10-19서울특별시 강북구 도봉로98길 38, 1층 (번동)02-6348-243302-6348-24382023-05-26
5152한울방문요양센터방문요양,방문목욕개인2019-12-06서울특별시 강북구 한천로115길 20, 501동 105호 (번동, 번동주공영구임대아파트)02-981-700502-981-70062023-05-26
5253해드림방문요양센터방문요양,방문목욕개인2009-09-25서울특별시 강북구 한천로155길 13 (수유동,1층)02-997-852802-997-85102023-05-26
5354효노인도움센터방문요양,방문목욕개인2015-04-01서울특별시 강북구 한천로123가길 8, 1층 (번동)02-999-089702-993-06582023-05-26
5455효노인복지센터방문목욕개인2008-08-01서울특별시 강북구 오현로 194, 2층 (번동)02-946-131302-986-06942023-05-26
5556효사랑재가복지센터방문요양,방문목욕개인2010-06-04서울특별시 강북구 삼양로 372-1, 1층 (수유동)02-984-977202-980-97722023-05-26
5657효성재가노인복지센터방문요양,방문목욕개인2009-12-11서울특별시 강북구 도봉로 296 (번동,양덕빌딩 7층)02-995-825302-6008-71722023-05-26
5758효심재가복지센터방문요양개인2018-10-05서울특별시 강북구 삼양로155길 56, 101호 (우이동, 상아골드맨션)02-999-464102-999-46402023-05-26