Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory72.6 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경상북도 영천시 노인 복지시설 현황에 대한 데이터 입니다일련번호, 종류, 이름, 주소, 연락처 등에 대한 데이터 정보를 제공합니다
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15044654/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
위도 is highly overall correlated with 구분High correlation
경도 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
상호명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:26:46.014628
Analysis finished2024-03-14 23:26:49.123910
Duration3.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  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 size335.0 B
2024-03-15T08:26:49.310332image/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
2024-03-15T08:26:49.691034image/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

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
개인
16 
법인
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 16
69.6%
법인 7
30.4%

Length

2024-03-15T08:26:50.088379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:26:50.375787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 16
69.6%
법인 7
30.4%

상호명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T08:26:51.081389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8
Min length3

Characters and Unicode

Total characters184
Distinct characters74
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

Unique23 ?
Unique (%)100.0%

Sample

1st row용평마을
2nd row마야노인전문요양원
3rd row자광원(주식회사 덕원)
4th row마야실비노인요양원
5th row은해사 포근한집
ValueCountFrequency (%)
용평마을 1
 
4.0%
우리들요양원 1
 
4.0%
영천노인복지센터 1
 
4.0%
우리함께영천요양원 1
 
4.0%
효담채 1
 
4.0%
단포공동생활가정 1
 
4.0%
영천애노인요양공동생활가정 1
 
4.0%
대자연노인요양공동생활가정 1
 
4.0%
우리실버타운공동생활가정 1
 
4.0%
장수노인요양공동생활가정 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T08:26:52.071428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 13
 
7.1%
양 13
 
7.1%
원 12
 
6.5%
영 7
 
3.8%
노 7
 
3.8%
인 7
 
3.8%
천 6
 
3.3%
공 5
 
2.7%
가 5
 
2.7%
활 5
 
2.7%
Other values (64) 104
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
97.8%
Space Separator 2
 
1.1%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 13
 
7.2%
양 13
 
7.2%
원 12
 
6.7%
영 7
 
3.9%
노 7
 
3.9%
인 7
 
3.9%
천 6
 
3.3%
공 5
 
2.8%
가 5
 
2.8%
활 5
 
2.8%
Other values (61) 100
55.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
97.8%
Common 4
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 13
 
7.2%
양 13
 
7.2%
원 12
 
6.7%
영 7
 
3.9%
노 7
 
3.9%
인 7
 
3.9%
천 6
 
3.3%
공 5
 
2.8%
가 5
 
2.8%
활 5
 
2.8%
Other values (61) 100
55.6%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
97.8%
ASCII 4
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 13
 
7.2%
양 13
 
7.2%
원 12
 
6.7%
영 7
 
3.9%
노 7
 
3.9%
인 7
 
3.9%
천 6
 
3.3%
공 5
 
2.8%
가 5
 
2.8%
활 5
 
2.8%
Other values (61) 100
55.6%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

소재지도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T08:26:52.912587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length22.217391
Min length18

Characters and Unicode

Total characters511
Distinct characters83
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

Unique23 ?
Unique (%)100.0%

Sample

1st row경상북도 영천시 화산면 가일길 85-24 (용평마을)
2nd row경상북도 영천시 북안면 내서로 55-24
3rd row경상북도 영천시 금호읍 칠백로 339
4th row경상북도 영천시 북안면 고지길 42-6
5th row경상북도 영천시 청통면 대동로 424
ValueCountFrequency (%)
경상북도 23
20.4%
영천시 23
20.4%
금호읍 3
 
2.7%
천문로 2
 
1.8%
성내동 2
 
1.8%
완산동 2
 
1.8%
완산4길 2
 
1.8%
임고면 2
 
1.8%
424 2
 
1.8%
북안면 2
 
1.8%
Other values (50) 50
44.2%
2024-03-15T08:26:53.903399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
17.6%
천 27
 
5.3%
북 25
 
4.9%
경 24
 
4.7%
도 24
 
4.7%
영 23
 
4.5%
시 23
 
4.5%
상 23
 
4.5%
4 19
 
3.7%
길 14
 
2.7%
Other values (73) 219
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
60.1%
Space Separator 90
 
17.6%
Decimal Number 79
 
15.5%
Close Punctuation 12
 
2.3%
Open Punctuation 12
 
2.3%
Dash Punctuation 11
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 27
 
8.8%
북 25
 
8.1%
경 24
 
7.8%
도 24
 
7.8%
영 23
 
7.5%
시 23
 
7.5%
상 23
 
7.5%
길 14
 
4.6%
동 12
 
3.9%
면 8
 
2.6%
Other values (59) 104
33.9%
Decimal Number
ValueCountFrequency (%)
4 19
24.1%
2 13
16.5%
1 12
15.2%
3 11
13.9%
5 6
 
7.6%
8 5
 
6.3%
7 5
 
6.3%
9 3
 
3.8%
6 3
 
3.8%
0 2
 
2.5%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
60.1%
Common 204
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 27
 
8.8%
북 25
 
8.1%
경 24
 
7.8%
도 24
 
7.8%
영 23
 
7.5%
시 23
 
7.5%
상 23
 
7.5%
길 14
 
4.6%
동 12
 
3.9%
면 8
 
2.6%
Other values (59) 104
33.9%
Common
ValueCountFrequency (%)
90
44.1%
4 19
 
9.3%
2 13
 
6.4%
1 12
 
5.9%
) 12
 
5.9%
( 12
 
5.9%
- 11
 
5.4%
3 11
 
5.4%
5 6
 
2.9%
8 5
 
2.5%
Other values (4) 13
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
60.1%
ASCII 204
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
44.1%
4 19
 
9.3%
2 13
 
6.4%
1 12
 
5.9%
) 12
 
5.9%
( 12
 
5.9%
- 11
 
5.4%
3 11
 
5.4%
5 6
 
2.9%
8 5
 
2.5%
Other values (4) 13
 
6.4%
Hangul
ValueCountFrequency (%)
천 27
 
8.8%
북 25
 
8.1%
경 24
 
7.8%
도 24
 
7.8%
영 23
 
7.5%
시 23
 
7.5%
상 23
 
7.5%
길 14
 
4.6%
동 12
 
3.9%
면 8
 
2.6%
Other values (59) 104
33.9%

전화번호
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T08:26:54.499725image/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 row054-334-2007
2nd row054-335-0056
3rd row054-338-6100
4th row054-333-3993
5th row054-335-3314
ValueCountFrequency (%)
054-331-0001 2
 
8.7%
054-334-2007 1
 
4.3%
054-335-0056 1
 
4.3%
054-336-7347 1
 
4.3%
054-337-3330 1
 
4.3%
054-338-8122 1
 
4.3%
054-337-8899 1
 
4.3%
054-333-6787 1
 
4.3%
054-335-8878 1
 
4.3%
054-334-1500 1
 
4.3%
Other values (12) 12
52.2%
2024-03-15T08:26:55.519370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 59
21.4%
0 47
17.0%
- 46
16.7%
5 35
12.7%
4 27
9.8%
8 17
 
6.2%
9 11
 
4.0%
1 10
 
3.6%
7 10
 
3.6%
6 8
 
2.9%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 59
25.7%
0 47
20.4%
5 35
15.2%
4 27
11.7%
8 17
 
7.4%
9 11
 
4.8%
1 10
 
4.3%
7 10
 
4.3%
6 8
 
3.5%
2 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 59
21.4%
0 47
17.0%
- 46
16.7%
5 35
12.7%
4 27
9.8%
8 17
 
6.2%
9 11
 
4.0%
1 10
 
3.6%
7 10
 
3.6%
6 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 59
21.4%
0 47
17.0%
- 46
16.7%
5 35
12.7%
4 27
9.8%
8 17
 
6.2%
9 11
 
4.0%
1 10
 
3.6%
7 10
 
3.6%
6 8
 
2.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.964504
Minimum35.89662
Maximum36.06759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T08:26:55.858103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.89662
5-th percentile35.906692
Q135.951576
median35.96274
Q335.975488
95-th percentile36.021431
Maximum36.06759
Range0.17097
Interquartile range (IQR)0.02391245

Descriptive statistics

Standard deviation0.037147802
Coefficient of variation (CV)0.0010329018
Kurtosis1.93553
Mean35.964504
Median Absolute Deviation (MAD)0.0149459
Skewness0.65477936
Sum827.1836
Variance0.0013799592
MonotonicityNot monotonic
2024-03-15T08:26:56.263209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
35.96024 2
 
8.7%
36.02296 1
 
4.3%
35.9776859 1
 
4.3%
35.96034 1
 
4.3%
35.96274 1
 
4.3%
35.9314709 1
 
4.3%
35.958992 1
 
4.3%
35.97928 1
 
4.3%
36.06759 1
 
4.3%
35.94106 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
35.89662 1
4.3%
35.90632 1
4.3%
35.91004 1
4.3%
35.9314709 1
4.3%
35.94106 1
4.3%
35.944159 1
4.3%
35.958992 1
4.3%
35.96024 2
8.7%
35.96034 1
4.3%
35.96065 1
4.3%
ValueCountFrequency (%)
36.06759 1
4.3%
36.02296 1
4.3%
36.00767 1
4.3%
35.99198 1
4.3%
35.97928 1
4.3%
35.9776859 1
4.3%
35.97329 1
4.3%
35.97314 1
4.3%
35.97031 1
4.3%
35.96383 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.92991
Minimum128.80164
Maximum129.01633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T08:26:56.657311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80164
5-th percentile128.84166
Q1128.91926
median128.9275
Q3128.94703
95-th percentile129.01032
Maximum129.01633
Range0.21469
Interquartile range (IQR)0.02777

Descriptive statistics

Standard deviation0.047719379
Coefficient of variation (CV)0.00037011878
Kurtosis2.0037591
Mean128.92991
Median Absolute Deviation (MAD)0.0109486
Skewness-0.65223588
Sum2965.3878
Variance0.0022771391
MonotonicityNot monotonic
2024-03-15T08:26:57.050888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
128.9211 2
 
8.7%
128.8359 1
 
4.3%
128.9275014 1
 
4.3%
128.93445 1
 
4.3%
128.9337 1
 
4.3%
128.9106477 1
 
4.3%
128.9299319 1
 
4.3%
128.97705 1
 
4.3%
128.8935 1
 
4.3%
128.93522 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
128.80164 1
4.3%
128.8359 1
4.3%
128.8935 1
4.3%
128.904908 1
4.3%
128.9106477 1
4.3%
128.9184 1
4.3%
128.92012 1
4.3%
128.92094 1
4.3%
128.9211 2
8.7%
128.92741 1
4.3%
ValueCountFrequency (%)
129.01633 1
4.3%
129.01238 1
4.3%
128.9918 1
4.3%
128.97705 1
4.3%
128.95973 1
4.3%
128.95561 1
4.3%
128.93845 1
4.3%
128.93522 1
4.3%
128.93445 1
4.3%
128.9337 1
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-02-07
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 23
100.0%

Length

2024-03-15T08:26:57.453226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:26:57.610063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 23
100.0%

Interactions

2024-03-15T08:26:47.702985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:46.437859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:47.142323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:47.930305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:46.566331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:47.286201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:48.189045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:46.737085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:47.464862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:26:57.740648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분상호명소재지도로명주소전화번호위도경도
연번1.0000.9311.0001.0000.9250.4280.221
구분0.9311.0001.0001.0001.0000.9860.591
상호명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
전화번호0.9251.0001.0001.0001.0001.0001.000
위도0.4280.9861.0001.0001.0001.0000.896
경도0.2210.5911.0001.0001.0000.8961.000
2024-03-15T08:26:57.939846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도구분
연번1.000-0.0630.0400.607
위도-0.0631.000-0.1710.756
경도0.040-0.1711.0000.555
구분0.6070.7560.5551.000

Missing values

2024-03-15T08:26:48.563201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:26:48.962934image/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

연번구분상호명소재지도로명주소전화번호위도경도데이터기준일자
01법인용평마을경상북도 영천시 화산면 가일길 85-24 (용평마을)054-334-200736.02296128.83592024-02-07
12법인마야노인전문요양원경상북도 영천시 북안면 내서로 55-24054-335-005635.91004129.016332024-02-07
23법인자광원(주식회사 덕원)경상북도 영천시 금호읍 칠백로 339054-338-610035.89662128.91842024-02-07
34법인마야실비노인요양원경상북도 영천시 북안면 고지길 42-6054-333-399335.90632129.012382024-02-07
45법인은해사 포근한집경상북도 영천시 청통면 대동로 424054-335-331435.99198128.801642024-02-07
56법인포은실버타운경상북도 영천시 임고면 효자로 241-18054-336-998836.00767128.99182024-02-07
67개인영남실버케어경상북도 영천시 양지길 128 (화룡동)054-332-990035.97031128.920122024-02-07
78개인온누리요양원경상북도 영천시 완산4길 194 (완산동)054-336-663035.97314128.938452024-02-07
89개인영천석미노인요양원경상북도 영천시 최무선로 335 (문외동)054-335-000035.96299128.920942024-02-07
910개인경북요양원경상북도 영천시 창대서원1길 9-3 (과전동)054-338-007535.96383128.927412024-02-07
연번구분상호명소재지도로명주소전화번호위도경도데이터기준일자
1314개인장수요양원경상북도 영천시 구터2길 3-4 (성내동)054-331-000135.96024128.92112024-02-07
1415개인장수노인요양공동생활가정경상북도 영천시 수원지길 75 (성내동)054-331-000135.96024128.92112024-02-07
1516개인우리실버타운공동생활가정경상북도 영천시 완산4길 127 (완산동)054-334-150035.96065128.955612024-02-07
1617개인대자연노인요양공동생활가정경상북도 영천시 천문로 72-33 (도동)054-335-887835.94106128.935222024-02-07
1718개인영천애노인요양공동생활가정경상북도 영천시 화남면 한천길 10-37054-333-678736.06759128.89352024-02-07
1819개인단포공동생활가정경상북도 영천시 고경면 단포구보길 65054-337-889935.97928128.977052024-02-07
1920개인효담채경상북도 영천시 담안7길 2(금노동)054-338-812235.958992128.9299322024-02-07
2021개인우리함께영천요양원경상북도 영천시 금호읍 관정1길 40054-337-333035.931471128.9106482024-02-07
2122개인영천노인복지센터경상북도 영천시 원제1길 11-8054-336-734735.96274128.93372024-02-07
2223개인영천백세마을경상북도 영천시 임고면 매호리 418번지054-335-799935.96034128.934452024-02-07