Overview

Dataset statistics

Number of variables8
Number of observations76
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory66.7 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description금산군 관내 장기요양기관에 대한 데이터로 기관명, 급여종류, 정원, 전화번호, 소재지 등의 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=33&beforeMenuCd=DOM_000000201001001000&publicdatapk=15117908

Alerts

데이터기준일 has constant value ""Constant
급여종류 is highly overall correlated with 방문목욕차량High correlation
방문목욕차량 is highly overall correlated with 급여종류High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:39:13.694087
Analysis finished2024-01-09 20:39:14.511067
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-01-10T05:39:14.578754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-01-10T05:39:14.703983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

급여종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
방문요양,방문목욕
23 
노인요양공동생활가정
16 
주야간보호
9 
노인요양시설(개정법)
8 
방문요양,방문목욕,주야간보호
6 
Other values (6)
14 

Length

Max length20
Median length15
Mean length9.5131579
Min length4

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 23
30.3%
노인요양공동생활가정 16
21.1%
주야간보호 9
 
11.8%
노인요양시설(개정법) 8
 
10.5%
방문요양,방문목욕,주야간보호 6
 
7.9%
방문요양,주야간보호 5
 
6.6%
방문요양 4
 
5.3%
복지용구제공사업소 2
 
2.6%
방문요양,방문목욕,주야간보호,방문간호 1
 
1.3%
방문요양,주야간보호,단기보호 1
 
1.3%

Length

2024-01-10T05:39:14.844835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양,방문목욕 23
30.3%
노인요양공동생활가정 16
21.1%
주야간보호 9
 
11.8%
노인요양시설(개정법 8
 
10.5%
방문요양,방문목욕,주야간보호 6
 
7.9%
방문요양,주야간보호 5
 
6.6%
방문요양 4
 
5.3%
복지용구제공사업소 2
 
2.6%
방문요양,방문목욕,주야간보호,방문간호 1
 
1.3%
방문요양,주야간보호,단기보호 1
 
1.3%

장기요양기관
Text

Distinct73
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-01-10T05:39:15.085346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15.5
Mean length8.0526316
Min length4

Characters and Unicode

Total characters612
Distinct characters127
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

Unique70 ?
Unique (%)92.1%

Sample

1st row사랑복지센터
2nd row금산사랑요양원
3rd row우리복지센터
4th row금산요양원
5th row우리요양원
ValueCountFrequency (%)
동행랜드 4
 
4.3%
새금산실버케어 2
 
2.2%
핑크동 2
 
2.2%
그린동 2
 
2.2%
금산돌봄센터 2
 
2.2%
한마음재가노인복지센터 1
 
1.1%
실로암요양원 1
 
1.1%
홍익원 1
 
1.1%
금산실버타운 1
 
1.1%
금산제일복지센터 1
 
1.1%
Other values (76) 76
81.7%
2024-01-10T05:39:15.404773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 47
 
7.7%
터 47
 
7.7%
복 30
 
4.9%
지 30
 
4.9%
산 20
 
3.3%
금 19
 
3.1%
인 17
 
2.8%
가 17
 
2.8%
17
 
2.8%
요 16
 
2.6%
Other values (117) 352
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
96.6%
Space Separator 17
 
2.8%
Decimal Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 47
 
8.0%
터 47
 
8.0%
복 30
 
5.1%
지 30
 
5.1%
산 20
 
3.4%
금 19
 
3.2%
인 17
 
2.9%
가 17
 
2.9%
요 16
 
2.7%
양 16
 
2.7%
Other values (113) 332
56.2%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
2 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
96.6%
Common 21
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 47
 
8.0%
터 47
 
8.0%
복 30
 
5.1%
지 30
 
5.1%
산 20
 
3.4%
금 19
 
3.2%
인 17
 
2.9%
가 17
 
2.9%
요 16
 
2.7%
양 16
 
2.7%
Other values (113) 332
56.2%
Common
ValueCountFrequency (%)
17
81.0%
0 2
 
9.5%
2 1
 
4.8%
1 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
96.6%
ASCII 21
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 47
 
8.0%
터 47
 
8.0%
복 30
 
5.1%
지 30
 
5.1%
산 20
 
3.4%
금 19
 
3.2%
인 17
 
2.9%
가 17
 
2.9%
요 16
 
2.7%
양 16
 
2.7%
Other values (113) 332
56.2%
ASCII
ValueCountFrequency (%)
17
81.0%
0 2
 
9.5%
2 1
 
4.8%
1 1
 
4.8%

전화번호
Text

Distinct64
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-01-10T05:39:15.643445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013158
Min length12

Characters and Unicode

Total characters913
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

Unique54 ?
Unique (%)71.1%

Sample

1st row041-753-3399
2nd row041-754-9800
3rd row041-754-3133
4th row041-753-0044
5th row041-754-3133
ValueCountFrequency (%)
041-752-6090 4
 
5.3%
041-751-0320 2
 
2.6%
041-753-9900 2
 
2.6%
041-752-7776 2
 
2.6%
041-751-4450 2
 
2.6%
041-751-1000 2
 
2.6%
041-753-0044 2
 
2.6%
041-754-3133 2
 
2.6%
041-753-3399 2
 
2.6%
041-754-6474 2
 
2.6%
Other values (54) 54
71.1%
2024-01-10T05:39:15.989042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 152
16.6%
0 136
14.9%
1 125
13.7%
4 116
12.7%
7 106
11.6%
5 106
11.6%
3 49
 
5.4%
9 41
 
4.5%
2 32
 
3.5%
8 27
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 761
83.4%
Dash Punctuation 152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
17.9%
1 125
16.4%
4 116
15.2%
7 106
13.9%
5 106
13.9%
3 49
 
6.4%
9 41
 
5.4%
2 32
 
4.2%
8 27
 
3.5%
6 23
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 152
16.6%
0 136
14.9%
1 125
13.7%
4 116
12.7%
7 106
11.6%
5 106
11.6%
3 49
 
5.4%
9 41
 
4.5%
2 32
 
3.5%
8 27
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 152
16.6%
0 136
14.9%
1 125
13.7%
4 116
12.7%
7 106
11.6%
5 106
11.6%
3 49
 
5.4%
9 41
 
4.5%
2 32
 
3.5%
8 27
 
3.0%

방문목욕차량
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
무
59 
유
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유
2nd row무
3rd row유
4th row무
5th row무

Common Values

ValueCountFrequency (%)
무 59
77.6%
유 17
 
22.4%

Length

2024-01-10T05:39:16.114750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:16.203114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 59
77.6%
유 17
 
22.4%

소재지 지번주소
Text

Distinct53
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-01-10T05:39:16.406269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.342105
Min length18

Characters and Unicode

Total characters1622
Distinct characters61
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

Unique41 ?
Unique (%)53.9%

Sample

1st row충청남도 금산군 금산읍 상리 177-10
2nd row충청남도 금산군 금산읍 상리 177-10
3rd row충청남도 금산군 금산읍 상리 177-10
4th row충청남도 금산군 금산읍 상리 175-28
5th row충청남도 금산군 금산읍 상리 177-10
ValueCountFrequency (%)
충청남도 76
20.0%
금산군 76
20.0%
금산읍 46
 
12.1%
상리 25
 
6.6%
아인리 8
 
2.1%
복수면 7
 
1.8%
177-10 7
 
1.8%
추부면 6
 
1.6%
중도리 5
 
1.3%
군북면 5
 
1.3%
Other values (78) 119
31.3%
2024-01-10T05:39:16.744417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
18.7%
산 127
 
7.8%
금 125
 
7.7%
도 81
 
5.0%
군 81
 
5.0%
리 79
 
4.9%
남 78
 
4.8%
충 76
 
4.7%
청 76
 
4.7%
- 61
 
3.8%
Other values (51) 534
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 963
59.4%
Space Separator 304
 
18.7%
Decimal Number 294
 
18.1%
Dash Punctuation 61
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 127
13.2%
금 125
13.0%
도 81
8.4%
군 81
8.4%
리 79
8.2%
남 78
8.1%
충 76
7.9%
청 76
7.9%
읍 47
 
4.9%
상 31
 
3.2%
Other values (39) 162
16.8%
Decimal Number
ValueCountFrequency (%)
1 57
19.4%
2 37
12.6%
7 36
12.2%
5 29
9.9%
3 29
9.9%
4 27
9.2%
6 27
9.2%
8 21
 
7.1%
0 17
 
5.8%
9 14
 
4.8%
Space Separator
ValueCountFrequency (%)
304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 963
59.4%
Common 659
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 127
13.2%
금 125
13.0%
도 81
8.4%
군 81
8.4%
리 79
8.2%
남 78
8.1%
충 76
7.9%
청 76
7.9%
읍 47
 
4.9%
상 31
 
3.2%
Other values (39) 162
16.8%
Common
ValueCountFrequency (%)
304
46.1%
- 61
 
9.3%
1 57
 
8.6%
2 37
 
5.6%
7 36
 
5.5%
5 29
 
4.4%
3 29
 
4.4%
4 27
 
4.1%
6 27
 
4.1%
8 21
 
3.2%
Other values (2) 31
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 963
59.4%
ASCII 659
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
46.1%
- 61
 
9.3%
1 57
 
8.6%
2 37
 
5.6%
7 36
 
5.5%
5 29
 
4.4%
3 29
 
4.4%
4 27
 
4.1%
6 27
 
4.1%
8 21
 
3.2%
Other values (2) 31
 
4.7%
Hangul
ValueCountFrequency (%)
산 127
13.2%
금 125
13.0%
도 81
8.4%
군 81
8.4%
리 79
8.2%
남 78
8.1%
충 76
7.9%
청 76
7.9%
읍 47
 
4.9%
상 31
 
3.2%
Other values (39) 162
16.8%

소재지 도로명주소
Text

Distinct63
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-01-10T05:39:16.999257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length22.131579
Min length18

Characters and Unicode

Total characters1682
Distinct characters94
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

Unique51 ?
Unique (%)67.1%

Sample

1st row충청남도 금산군 금산읍 오리정1길 41, 2층
2nd row충청남도 금산군 금산읍 오리정1길 41, 2층
3rd row충청남도 금산군 금산읍 오리정1길 41 (3층)
4th row충청남도 금산군 금산읍 인삼로 65 (801호 엔이시티)
5th row충청남도 금산군 금산읍 오리정1길 41 (3층)
ValueCountFrequency (%)
충청남도 76
18.8%
금산군 76
18.8%
금산읍 46
 
11.4%
오리정1길 8
 
2.0%
41 7
 
1.7%
복수면 7
 
1.7%
인삼로 6
 
1.5%
추부면 6
 
1.5%
비단로 6
 
1.5%
2층 5
 
1.2%
Other values (101) 162
40.0%
2024-01-10T05:39:17.398478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
19.6%
산 133
 
7.9%
금 130
 
7.7%
군 82
 
4.9%
남 81
 
4.8%
청 77
 
4.6%
충 76
 
4.5%
도 76
 
4.5%
1 65
 
3.9%
읍 47
 
2.8%
Other values (84) 586
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1065
63.3%
Space Separator 329
 
19.6%
Decimal Number 243
 
14.4%
Dash Punctuation 16
 
1.0%
Other Punctuation 15
 
0.9%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 133
12.5%
금 130
12.2%
군 82
 
7.7%
남 81
 
7.6%
청 77
 
7.2%
충 76
 
7.1%
도 76
 
7.1%
읍 47
 
4.4%
길 42
 
3.9%
로 34
 
3.2%
Other values (69) 287
26.9%
Decimal Number
ValueCountFrequency (%)
1 65
26.7%
4 35
14.4%
2 33
13.6%
3 27
11.1%
5 19
 
7.8%
8 18
 
7.4%
0 15
 
6.2%
7 13
 
5.3%
6 11
 
4.5%
9 7
 
2.9%
Space Separator
ValueCountFrequency (%)
329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1065
63.3%
Common 617
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 133
12.5%
금 130
12.2%
군 82
 
7.7%
남 81
 
7.6%
청 77
 
7.2%
충 76
 
7.1%
도 76
 
7.1%
읍 47
 
4.4%
길 42
 
3.9%
로 34
 
3.2%
Other values (69) 287
26.9%
Common
ValueCountFrequency (%)
329
53.3%
1 65
 
10.5%
4 35
 
5.7%
2 33
 
5.3%
3 27
 
4.4%
5 19
 
3.1%
8 18
 
2.9%
- 16
 
2.6%
, 15
 
2.4%
0 15
 
2.4%
Other values (5) 45
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1065
63.3%
ASCII 617
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
53.3%
1 65
 
10.5%
4 35
 
5.7%
2 33
 
5.3%
3 27
 
4.4%
5 19
 
3.1%
8 18
 
2.9%
- 16
 
2.6%
, 15
 
2.4%
0 15
 
2.4%
Other values (5) 45
 
7.3%
Hangul
ValueCountFrequency (%)
산 133
12.5%
금 130
12.2%
군 82
 
7.7%
남 81
 
7.6%
청 77
 
7.2%
충 76
 
7.1%
도 76
 
7.1%
읍 47
 
4.4%
길 42
 
3.9%
로 34
 
3.2%
Other values (69) 287
26.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-07-25
76 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2023-07-25
4th row2023-07-25
5th row2023-07-25

Common Values

ValueCountFrequency (%)
2023-07-25 76
100.0%

Length

2024-01-10T05:39:17.523660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:17.678907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-25 76
100.0%

Interactions

2024-01-10T05:39:14.235747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:39:17.761100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류장기요양기관전화번호방문목욕차량소재지 지번주소소재지 도로명주소
연번1.0000.2630.9390.8480.3900.7300.870
급여종류0.2631.0000.0000.0000.6330.0000.000
장기요양기관0.9390.0001.0001.0001.0001.0001.000
전화번호0.8480.0001.0001.0000.0001.0000.997
방문목욕차량0.3900.6331.0000.0001.0000.0000.000
소재지 지번주소0.7300.0001.0001.0000.0001.0001.000
소재지 도로명주소0.8700.0001.0000.9970.0001.0001.000
2024-01-10T05:39:17.880188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문목욕차량급여종류
방문목욕차량1.0000.574
급여종류0.5741.000
2024-01-10T05:39:17.960913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류방문목욕차량
연번1.0000.1280.247
급여종류0.1281.0000.574
방문목욕차량0.2470.5741.000

Missing values

2024-01-10T05:39:14.346290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:39:14.463895image/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

연번급여종류장기요양기관전화번호방문목욕차량소재지 지번주소소재지 도로명주소데이터기준일
01방문요양,방문목욕,주야간보호사랑복지센터041-753-3399유충청남도 금산군 금산읍 상리 177-10충청남도 금산군 금산읍 오리정1길 41, 2층2023-07-25
12노인요양공동생활가정금산사랑요양원041-754-9800무충청남도 금산군 금산읍 상리 177-10충청남도 금산군 금산읍 오리정1길 41, 2층2023-07-25
23방문요양,방문목욕,주야간보호우리복지센터041-754-3133유충청남도 금산군 금산읍 상리 177-10충청남도 금산군 금산읍 오리정1길 41 (3층)2023-07-25
34노인요양공동생활가정금산요양원041-753-0044무충청남도 금산군 금산읍 상리 175-28충청남도 금산군 금산읍 인삼로 65 (801호 엔이시티)2023-07-25
45노인요양공동생활가정우리요양원041-754-3133무충청남도 금산군 금산읍 상리 177-10충청남도 금산군 금산읍 오리정1길 41 (3층)2023-07-25
56주야간보호금산주간보호센터041-753-0044무충청남도 금산군 금산읍 상리 175-28충청남도 금산군 금산읍 인삼로 65 (701호 엔이시티)2023-07-25
67노인요양시설(개정법)장기요양기관 사회복지법인 인삼골건강마을041-753-7407무충청남도 금산군 금산읍 계진리 273충청남도 금산군 금산읍 족실1길 102023-07-25
78노인요양시설(개정법)금산무지개요양원041-751-5551무충청남도 금산군 금산읍 상리 34-13충청남도 금산군 금산읍 후곤천길 73, 6층, 7층2023-07-25
89주야간보호새금산주간보호센터041-753-8700무충청남도 금산군 금산읍 상리 36-7충청남도 금산군 금산읍 비호로 802023-07-25
910방문요양,방문목욕행복한복지센터041-751-1629유충청남도 금산군 진산면 부암리 9충청남도 금산군 진산면 진산로 876-102023-07-25
연번급여종류장기요양기관전화번호방문목욕차량소재지 지번주소소재지 도로명주소데이터기준일
6667방문요양,주야간보호성심주간보호센터041-754-3206무충청남도 금산군 추부면 자부리 283충청남도 금산군 추부면 자부길 12-82023-07-25
6768노인요양공동생활가정동행랜드 핑크동041-752-6090무충청남도 금산군 군북면 상곡리 948-4충청남도 금산군 군북면 황새목길 22-222023-07-25
6869방문요양대둔산재가복지센터041-751-7436무충청남도 금산군 진산면 막현리 63-1충청남도 금산군 진산면 숲정이1길 112023-07-25
6970방문요양,방문목욕드림 노인복지센터041-754-1123무충청남도 금산군 금산읍 상리 177-10충청남도 금산군 금산읍 오리정1길 41, 3층2023-07-25
7071방문요양,방문목욕효은노인복지센터041-751-0320유충청남도 금산군 부리면 창평리 85충청남도 금산군 부리면 흰바우길 942023-07-25
7172복지용구제공사업소새금산복지용구041-751-1000무충청남도 금산군 금산읍 상리 33-9충청남도 금산군 금산읍 금산로 14842023-07-25
7273노인요양공동생활가정나눔과 사랑의 집041-752-2857무충청남도 금산군 금성면 화림리 326충청남도 금산군 금성면 화림월곡길 11-42023-07-25
7374복지용구제공사업소가족사랑의료기041-751-9327무충청남도 금산군 금산읍 아인리 659-1충청남도 금산군 금산읍 남사직2길 44, 1층 102호2023-07-25
7475방문요양,방문목욕두손노인재가센터041-751-8991무충청남도 금산군 금산읍 상리 75-1충청남도 금산군 금산읍 후곤천길 822023-07-25
7576방문요양,방문목욕,주야간보호추부노인복지센터041-754-6474유충청남도 금산군 복수면 다복리 361-2충청남도 금산군 복수면 다복동길 36-332023-07-25