Overview

Dataset statistics

Number of variables8
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory65.8 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description충청북도 충주시 노인장기요양기관 및 노인복지생활시설 현황(연번, 시설유형, 시설종류, 시설명, 전화번호, 시설소재지주소, 서비스내용, 데이터 기준일)
Author충청북도 충주시
URLhttps://www.data.go.kr/data/15127152/fileData.do

Alerts

데이터기준일 has constant value ""Constant
시설종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 시설유형 and 2 other fieldsHigh correlation
서비스내용 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:13:54.948462
Analysis finished2024-03-16 04:13:55.972125
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-16T13:13:56.063003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.45
Q143.25
median85.5
Q3127.75
95-th percentile161.55
Maximum170
Range169
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation49.218899
Coefficient of variation (CV)0.57565964
Kurtosis-1.2
Mean85.5
Median Absolute Deviation (MAD)42.5
Skewness0
Sum14535
Variance2422.5
MonotonicityStrictly increasing
2024-03-16T13:13:56.314628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
118 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
Other values (160) 160
94.1%
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 (%)
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%

시설유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재가장기요양기관
60 
재가노인복지시설
55 
노인의료복지시설
49 
노인주거복지시설
 
6

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가장기요양기관 60
35.3%
재가노인복지시설 55
32.4%
노인의료복지시설 49
28.8%
노인주거복지시설 6
 
3.5%

Length

2024-03-16T13:13:56.525295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:13:56.709681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 60
35.3%
재가노인복지시설 55
32.4%
노인의료복지시설 49
28.8%
노인주거복지시설 6
 
3.5%

시설종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재가장기요양기관
60 
재가급여제공 장기요양기관
55 
노인요양시설
40 
노인요양공동생활가정
9 
노인공동생활가정
 
4

Length

Max length13
Median length10
Mean length9.2058824
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양로시설
2nd row양로시설
3rd row노인공동생활가정
4th row노인공동생활가정
5th row노인공동생활가정

Common Values

ValueCountFrequency (%)
재가장기요양기관 60
35.3%
재가급여제공 장기요양기관 55
32.4%
노인요양시설 40
23.5%
노인요양공동생활가정 9
 
5.3%
노인공동생활가정 4
 
2.4%
양로시설 2
 
1.2%

Length

2024-03-16T13:13:57.006087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:13:57.363415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 60
26.7%
재가급여제공 55
24.4%
장기요양기관 55
24.4%
노인요양시설 40
17.8%
노인요양공동생활가정 9
 
4.0%
노인공동생활가정 4
 
1.8%
양로시설 2
 
0.9%

시설명
Text

Distinct168
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-16T13:13:57.858161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.5176471
Min length3

Characters and Unicode

Total characters1448
Distinct characters212
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)97.6%

Sample

1st row선한마을
2nd row법성원
3rd row예수사랑의집
4th row섬김의집
5th row한가족
ValueCountFrequency (%)
방문요양센터 3
 
1.6%
광명온종일재가방문 2
 
1.1%
충주 2
 
1.1%
앙성재가복지센터 2
 
1.1%
충주시니어빌리지 2
 
1.1%
노인복지센터 2
 
1.1%
주간보호센터 2
 
1.1%
광명스타일복지용구 1
 
0.5%
이지케어노인복지센터 1
 
0.5%
충주의료기 1
 
0.5%
Other values (170) 170
90.4%
2024-03-16T13:13:58.424812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 103
 
7.1%
터 102
 
7.0%
지 77
 
5.3%
복 67
 
4.6%
양 61
 
4.2%
요 60
 
4.1%
주 58
 
4.0%
인 53
 
3.7%
노 51
 
3.5%
가 47
 
3.2%
Other values (202) 769
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1394
96.3%
Space Separator 18
 
1.2%
Decimal Number 11
 
0.8%
Uppercase Letter 9
 
0.6%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Initial Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 103
 
7.4%
터 102
 
7.3%
지 77
 
5.5%
복 67
 
4.8%
양 61
 
4.4%
요 60
 
4.3%
주 58
 
4.2%
인 53
 
3.8%
노 51
 
3.7%
가 47
 
3.4%
Other values (187) 715
51.3%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
6 2
18.2%
5 2
18.2%
3 1
 
9.1%
4 1
 
9.1%
8 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
W 2
22.2%
Y 2
22.2%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1393
96.2%
Common 45
 
3.1%
Latin 9
 
0.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 103
 
7.4%
터 102
 
7.3%
지 77
 
5.5%
복 67
 
4.8%
양 61
 
4.4%
요 60
 
4.3%
주 58
 
4.2%
인 53
 
3.8%
노 51
 
3.7%
가 47
 
3.4%
Other values (186) 714
51.3%
Common
ValueCountFrequency (%)
18
40.0%
( 7
 
15.6%
) 7
 
15.6%
1 4
 
8.9%
6 2
 
4.4%
5 2
 
4.4%
‘ 1
 
2.2%
3 1
 
2.2%
4 1
 
2.2%
- 1
 
2.2%
Latin
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
W 2
22.2%
Y 2
22.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1393
96.2%
ASCII 53
 
3.7%
Punctuation 1
 
0.1%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 103
 
7.4%
터 102
 
7.3%
지 77
 
5.5%
복 67
 
4.8%
양 61
 
4.4%
요 60
 
4.3%
주 58
 
4.2%
인 53
 
3.8%
노 51
 
3.7%
가 47
 
3.4%
Other values (186) 714
51.3%
ASCII
ValueCountFrequency (%)
18
34.0%
( 7
 
13.2%
) 7
 
13.2%
1 4
 
7.5%
A 3
 
5.7%
6 2
 
3.8%
C 2
 
3.8%
W 2
 
3.8%
Y 2
 
3.8%
5 2
 
3.8%
Other values (4) 4
 
7.5%
Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

전화번호
Text

Distinct162
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-16T13:13:58.823738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011765
Min length12

Characters and Unicode

Total characters2042
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

Unique155 ?
Unique (%)91.2%

Sample

1st row043-856-0191
2nd row043-847-6080
3rd row043-852-9522
4th row043-847-5678
5th row043-853-9864
ValueCountFrequency (%)
043-843-1116 3
 
1.8%
043-845-0519 2
 
1.2%
043-846-3033 2
 
1.2%
043-854-5446 2
 
1.2%
043-847-3240 2
 
1.2%
043-857-9191 2
 
1.2%
043-857-8003 2
 
1.2%
043-910-9733 1
 
0.6%
043-856-0191 1
 
0.6%
043-852-0401 1
 
0.6%
Other values (152) 152
89.4%
2024-03-16T13:13:59.498477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 340
16.7%
0 304
14.9%
4 296
14.5%
3 245
12.0%
8 242
11.9%
5 189
9.3%
1 104
 
5.1%
7 92
 
4.5%
2 85
 
4.2%
6 74
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1702
83.3%
Dash Punctuation 340
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 304
17.9%
4 296
17.4%
3 245
14.4%
8 242
14.2%
5 189
11.1%
1 104
 
6.1%
7 92
 
5.4%
2 85
 
5.0%
6 74
 
4.3%
9 71
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2042
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 340
16.7%
0 304
14.9%
4 296
14.5%
3 245
12.0%
8 242
11.9%
5 189
9.3%
1 104
 
5.1%
7 92
 
4.5%
2 85
 
4.2%
6 74
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 340
16.7%
0 304
14.9%
4 296
14.5%
3 245
12.0%
8 242
11.9%
5 189
9.3%
1 104
 
5.1%
7 92
 
4.5%
2 85
 
4.2%
6 74
 
3.6%

시설소재지주소
Text

Distinct160
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-16T13:14:00.088877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.982353
Min length19

Characters and Unicode

Total characters4077
Distinct characters156
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

Unique151 ?
Unique (%)88.8%

Sample

1st row충청북도 충주시 대소원면 창현로 654-11
2nd row충청북도 충주시 직동길 271-23 (직동)
3rd row충청북도 충주시 엄정면 강현안길 58
4th row충청북도 충주시 약막4길 37-33, 가동 (안림동,가)
5th row충청북도 충주시 노은면 감노로 1047
ValueCountFrequency (%)
충청북도 170
 
18.6%
충주시 170
 
18.6%
교현동 33
 
3.6%
문화동 19
 
2.1%
2층 18
 
2.0%
연수동 15
 
1.6%
국원대로 12
 
1.3%
안림동 10
 
1.1%
금릉동 9
 
1.0%
칠금동 9
 
1.0%
Other values (275) 447
49.0%
2024-03-16T13:14:00.833249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
744
18.2%
충 341
 
8.4%
주 180
 
4.4%
도 171
 
4.2%
북 170
 
4.2%
시 170
 
4.2%
청 170
 
4.2%
동 156
 
3.8%
1 135
 
3.3%
( 131
 
3.2%
Other values (146) 1709
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2397
58.8%
Space Separator 744
 
18.2%
Decimal Number 584
 
14.3%
Open Punctuation 131
 
3.2%
Close Punctuation 131
 
3.2%
Other Punctuation 53
 
1.3%
Dash Punctuation 37
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 341
14.2%
주 180
 
7.5%
도 171
 
7.1%
북 170
 
7.1%
시 170
 
7.1%
청 170
 
7.1%
동 156
 
6.5%
로 87
 
3.6%
길 78
 
3.3%
현 45
 
1.9%
Other values (130) 829
34.6%
Decimal Number
ValueCountFrequency (%)
1 135
23.1%
2 95
16.3%
3 74
12.7%
4 62
10.6%
0 55
9.4%
6 40
 
6.8%
9 34
 
5.8%
8 32
 
5.5%
5 30
 
5.1%
7 27
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 52
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
744
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2397
58.8%
Common 1680
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 341
14.2%
주 180
 
7.5%
도 171
 
7.1%
북 170
 
7.1%
시 170
 
7.1%
청 170
 
7.1%
동 156
 
6.5%
로 87
 
3.6%
길 78
 
3.3%
현 45
 
1.9%
Other values (130) 829
34.6%
Common
ValueCountFrequency (%)
744
44.3%
1 135
 
8.0%
( 131
 
7.8%
) 131
 
7.8%
2 95
 
5.7%
3 74
 
4.4%
4 62
 
3.7%
0 55
 
3.3%
, 52
 
3.1%
6 40
 
2.4%
Other values (6) 161
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2397
58.8%
ASCII 1680
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
744
44.3%
1 135
 
8.0%
( 131
 
7.8%
) 131
 
7.8%
2 95
 
5.7%
3 74
 
4.4%
4 62
 
3.7%
0 55
 
3.3%
, 52
 
3.1%
6 40
 
2.4%
Other values (6) 161
 
9.6%
Hangul
ValueCountFrequency (%)
충 341
14.2%
주 180
 
7.5%
도 171
 
7.1%
북 170
 
7.1%
시 170
 
7.1%
청 170
 
7.1%
동 156
 
6.5%
로 87
 
3.6%
길 78
 
3.3%
현 45
 
1.9%
Other values (130) 829
34.6%

서비스내용
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
방문요양
61 
노인요양시설
40 
방문요양+방문목욕
18 
주야간보호
16 
노인요양공동생활가정
9 
Other values (9)
26 

Length

Max length21
Median length15
Mean length6.2235294
Min length4

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row양로시설
2nd row양로시설
3rd row노인공동생활가정
4th row노인공동생활가정
5th row노인공동생활가정

Common Values

ValueCountFrequency (%)
방문요양 61
35.9%
노인요양시설 40
23.5%
방문요양+방문목욕 18
 
10.6%
주야간보호 16
 
9.4%
노인요양공동생활가정 9
 
5.3%
복지용구제공사업소 9
 
5.3%
노인공동생활가정 4
 
2.4%
방문간호 3
 
1.8%
방문요양+주야간보호 3
 
1.8%
양로시설 2
 
1.2%
Other values (4) 5
 
2.9%

Length

2024-03-16T13:14:01.102224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양 61
35.3%
노인요양시설 40
23.1%
방문요양+방문목욕 18
 
10.4%
주야간보호 16
 
9.2%
노인요양공동생활가정 9
 
5.2%
복지용구제공사업소 9
 
5.2%
노인공동생활가정 4
 
2.3%
방문요양+주야간보호 3
 
1.7%
방문간호 3
 
1.7%
양로시설 2
 
1.2%
Other values (7) 8
 
4.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-13
170 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-13
2nd row2024-03-13
3rd row2024-03-13
4th row2024-03-13
5th row2024-03-13

Common Values

ValueCountFrequency (%)
2024-03-13 170
100.0%

Length

2024-03-16T13:14:01.347076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:01.572043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-13 170
100.0%

Interactions

2024-03-16T13:13:55.546381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:14:01.699890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류서비스내용
연번1.0000.9190.8430.838
시설유형0.9191.0001.0000.938
시설종류0.8431.0001.0000.970
서비스내용0.8380.9380.9701.000
2024-03-16T13:14:01.867960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스내용시설종류시설유형
서비스내용1.0000.8830.811
시설종류0.8831.0000.994
시설유형0.8110.9941.000
2024-03-16T13:14:02.080866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류서비스내용
연번1.0000.8020.6440.533
시설유형0.8021.0000.9940.811
시설종류0.6440.9941.0000.883
서비스내용0.5330.8110.8831.000

Missing values

2024-03-16T13:13:55.715549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:13:55.909829image/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

연번시설유형시설종류시설명전화번호시설소재지주소서비스내용데이터기준일
01노인주거복지시설양로시설선한마을043-856-0191충청북도 충주시 대소원면 창현로 654-11양로시설2024-03-13
12노인주거복지시설양로시설법성원043-847-6080충청북도 충주시 직동길 271-23 (직동)양로시설2024-03-13
23노인주거복지시설노인공동생활가정예수사랑의집043-852-9522충청북도 충주시 엄정면 강현안길 58노인공동생활가정2024-03-13
34노인주거복지시설노인공동생활가정섬김의집043-847-5678충청북도 충주시 약막4길 37-33, 가동 (안림동,가)노인공동생활가정2024-03-13
45노인주거복지시설노인공동생활가정한가족043-853-9864충청북도 충주시 노은면 감노로 1047노인공동생활가정2024-03-13
56노인주거복지시설노인공동생활가정에덴실버타운043-856-0025충청북도 충주시 풍동동막길 199 (풍동)노인공동생활가정2024-03-13
67노인의료복지시설노인요양시설예함의집043-854-4791충청북도 충주시 앙성면 영죽후곡2길 12-16노인요양시설2024-03-13
78노인의료복지시설노인요양시설충주평화의집043-842-7002충청북도 충주시 노은면 숭선고개길 504노인요양시설2024-03-13
89노인의료복지시설노인요양시설한나요양원043-852-9523충청북도 충주시 엄정면 강현안길 58노인요양시설2024-03-13
910노인의료복지시설노인요양시설송원노인요양원043-856-3501충청북도 충주시 주덕읍 신양로 62노인요양시설2024-03-13
연번시설유형시설종류시설명전화번호시설소재지주소서비스내용데이터기준일
160161재가노인복지시설재가급여제공 장기요양기관해피 데이케어센터043-848-1001충청북도 충주시 중원대로 3381 (문화동)주야간보호2024-03-13
161162재가노인복지시설재가급여제공 장기요양기관꽃길주간보호센터043-851-8899충청북도 충주시 금곡로 83 (연수동, 웰컴빌딩)주야간보호2024-03-13
162163재가노인복지시설재가급여제공 장기요양기관태양노인주간보호센터043-856-4422충청북도 충주시 금봉대로 598 (연수동)주야간보호2024-03-13
163164재가노인복지시설재가급여제공 장기요양기관이화주간보호센터043-851-2877충청북도 충주시 예성로 318, 2층 (연수동)주야간보호2024-03-13
164165재가노인복지시설재가급여제공 장기요양기관지현카리타스노인복지센터043-855-3256충청북도 충주시 예성로 76 (지현동)주야간보호2024-03-13
165166재가노인복지시설재가급여제공 장기요양기관일일노인주간보호센터043-857-8277충청북도 충주시 국원대로 197, 3층 (금릉동)주야간보호2024-03-13
166167재가노인복지시설재가급여제공 장기요양기관둥굴레둥굴레 주간보호센터043-844-3569충청북도 충주시 예성로 259 (교현동)주야간보호2024-03-13
167168재가노인복지시설재가급여제공 장기요양기관센트럴우리주야간보호센터043-846-5151충청북도 충주시 연수상가4길 22-4 (연수동)주야간보호2024-03-13
168169재가노인복지시설재가급여제공 장기요양기관안심주간보호센터043-854-0050충청북도 충주시 안림로 50 (안림동)주야간보호2024-03-13
169170재가노인복지시설재가급여제공 장기요양기관충주시립노인주야간보호센터043-851-1021충청북도 충주시 산척면 월현길 40주야간보호+주야간보호 내 치매전담 1실2024-03-13