Overview

Dataset statistics

Number of variables7
Number of observations311
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory59.4 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description옥천군에 설치된 풍수해대피소에 대한 데이터를 나타냅니다. 데이터는 연번, 구분, 도로명주소, 지번주소, 위도, 경도, 면적으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15113815/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:59:47.408102
Analysis finished2023-12-12 19:59:48.948817
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct311
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156
Minimum1
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T04:59:49.334355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.5
Q178.5
median156
Q3233.5
95-th percentile295.5
Maximum311
Range310
Interquartile range (IQR)155

Descriptive statistics

Standard deviation89.922189
Coefficient of variation (CV)0.57642429
Kurtosis-1.2
Mean156
Median Absolute Deviation (MAD)78
Skewness0
Sum48516
Variance8086
MonotonicityStrictly increasing
2023-12-13T04:59:49.507898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
Other values (301) 301
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%

구분
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
경로당
152 
경로당+무더위심터
150 
경로당+마을회관+무더위심터
 
5
경로당+마을회관
 
3
마을회관
 
1

Length

Max length14
Median length9
Mean length6.1221865
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row경로당+마을회관+무더위심터
2nd row경로당+마을회관
3rd row경로당
4th row경로당+마을회관+무더위심터
5th row경로당+마을회관+무더위심터

Common Values

ValueCountFrequency (%)
경로당 152
48.9%
경로당+무더위심터 150
48.2%
경로당+마을회관+무더위심터 5
 
1.6%
경로당+마을회관 3
 
1.0%
마을회관 1
 
0.3%

Length

2023-12-13T04:59:49.683749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:59:49.839463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 152
48.9%
경로당+무더위심터 150
48.2%
경로당+마을회관+무더위심터 5
 
1.6%
경로당+마을회관 3
 
1.0%
마을회관 1
 
0.3%

도로명주소
Text

Distinct308
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T04:59:50.217296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length21.157556
Min length18

Characters and Unicode

Total characters6580
Distinct characters167
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)98.1%

Sample

1st row충청북도 옥천군 옥천읍 향수2길 46-11
2nd row충청북도 옥천군 옥천읍 성왕로 1274, 옥향@
3rd row충청북도 옥천군 옥천읍 성왕로 1262, 향수마을@ 101
4th row충청북도 옥천군 옥천읍 향수2길 9
5th row충청북도 옥천군 옥천읍 문정2길13-15
ValueCountFrequency (%)
충청북도 311
19.9%
옥천군 311
19.9%
옥천읍 74
 
4.7%
청성면 39
 
2.5%
청산면 34
 
2.2%
이원면 34
 
2.2%
동이면 32
 
2.1%
군북면 30
 
1.9%
안남면 23
 
1.5%
안내면 23
 
1.5%
Other values (480) 649
41.6%
2023-12-13T04:59:50.783712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1258
19.1%
청 399
 
6.1%
천 392
 
6.0%
옥 391
 
5.9%
군 363
 
5.5%
북 343
 
5.2%
도 322
 
4.9%
충 311
 
4.7%
길 277
 
4.2%
1 259
 
3.9%
Other values (157) 2265
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4183
63.6%
Space Separator 1258
 
19.1%
Decimal Number 1001
 
15.2%
Dash Punctuation 104
 
1.6%
Other Punctuation 34
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 399
 
9.5%
천 392
 
9.4%
옥 391
 
9.3%
군 363
 
8.7%
북 343
 
8.2%
도 322
 
7.7%
충 311
 
7.4%
길 277
 
6.6%
면 237
 
5.7%
이 81
 
1.9%
Other values (143) 1067
25.5%
Decimal Number
ValueCountFrequency (%)
1 259
25.9%
2 177
17.7%
3 142
14.2%
4 91
 
9.1%
5 68
 
6.8%
7 60
 
6.0%
6 58
 
5.8%
9 52
 
5.2%
0 48
 
4.8%
8 46
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 18
52.9%
@ 16
47.1%
Space Separator
ValueCountFrequency (%)
1258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4183
63.6%
Common 2397
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 399
 
9.5%
천 392
 
9.4%
옥 391
 
9.3%
군 363
 
8.7%
북 343
 
8.2%
도 322
 
7.7%
충 311
 
7.4%
길 277
 
6.6%
면 237
 
5.7%
이 81
 
1.9%
Other values (143) 1067
25.5%
Common
ValueCountFrequency (%)
1258
52.5%
1 259
 
10.8%
2 177
 
7.4%
3 142
 
5.9%
- 104
 
4.3%
4 91
 
3.8%
5 68
 
2.8%
7 60
 
2.5%
6 58
 
2.4%
9 52
 
2.2%
Other values (4) 128
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4183
63.6%
ASCII 2397
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1258
52.5%
1 259
 
10.8%
2 177
 
7.4%
3 142
 
5.9%
- 104
 
4.3%
4 91
 
3.8%
5 68
 
2.8%
7 60
 
2.5%
6 58
 
2.4%
9 52
 
2.2%
Other values (4) 128
 
5.3%
Hangul
ValueCountFrequency (%)
청 399
 
9.5%
천 392
 
9.4%
옥 391
 
9.3%
군 363
 
8.7%
북 343
 
8.2%
도 322
 
7.7%
충 311
 
7.4%
길 277
 
6.6%
면 237
 
5.7%
이 81
 
1.9%
Other values (143) 1067
25.5%

지번주소
Text

Distinct308
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T04:59:51.292182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length22
Mean length21.697749
Min length18

Characters and Unicode

Total characters6748
Distinct characters140
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)98.1%

Sample

1st row충청북도 옥천군 옥천읍 죽향리 52-2
2nd row충청북도 옥천군 옥천읍 죽향리 153-2번지 옥향@
3rd row충청북도 옥천군 옥천읍 죽향 196-2 향수마을@ 101
4th row충청북도 옥천군 옥천읍 문정리 53
5th row충청북도 옥천군 옥천읍 문정리 446-23
ValueCountFrequency (%)
충청북도 311
19.9%
옥천군 311
19.9%
옥천읍 74
 
4.7%
청성면 39
 
2.5%
이원면 34
 
2.2%
청산면 34
 
2.2%
동이면 32
 
2.0%
군북면 30
 
1.9%
안내면 23
 
1.5%
안남면 23
 
1.5%
Other values (435) 653
41.8%
2023-12-13T04:59:51.972351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1253
18.6%
청 402
 
6.0%
옥 389
 
5.8%
천 389
 
5.8%
군 363
 
5.4%
북 343
 
5.1%
도 323
 
4.8%
충 311
 
4.6%
리 311
 
4.6%
- 238
 
3.5%
Other values (130) 2426
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4065
60.2%
Space Separator 1253
 
18.6%
Decimal Number 1183
 
17.5%
Dash Punctuation 238
 
3.5%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 402
9.9%
옥 389
9.6%
천 389
9.6%
군 363
 
8.9%
북 343
 
8.4%
도 323
 
7.9%
충 311
 
7.7%
리 311
 
7.7%
면 237
 
5.8%
이 74
 
1.8%
Other values (116) 923
22.7%
Decimal Number
ValueCountFrequency (%)
1 225
19.0%
3 160
13.5%
2 158
13.4%
4 125
10.6%
5 120
10.1%
6 118
10.0%
8 79
 
6.7%
7 72
 
6.1%
0 63
 
5.3%
9 63
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
@ 4
44.4%
Space Separator
ValueCountFrequency (%)
1253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4065
60.2%
Common 2683
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 402
9.9%
옥 389
9.6%
천 389
9.6%
군 363
 
8.9%
북 343
 
8.4%
도 323
 
7.9%
충 311
 
7.7%
리 311
 
7.7%
면 237
 
5.8%
이 74
 
1.8%
Other values (116) 923
22.7%
Common
ValueCountFrequency (%)
1253
46.7%
- 238
 
8.9%
1 225
 
8.4%
3 160
 
6.0%
2 158
 
5.9%
4 125
 
4.7%
5 120
 
4.5%
6 118
 
4.4%
8 79
 
2.9%
7 72
 
2.7%
Other values (4) 135
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4065
60.2%
ASCII 2683
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1253
46.7%
- 238
 
8.9%
1 225
 
8.4%
3 160
 
6.0%
2 158
 
5.9%
4 125
 
4.7%
5 120
 
4.5%
6 118
 
4.4%
8 79
 
2.9%
7 72
 
2.7%
Other values (4) 135
 
5.0%
Hangul
ValueCountFrequency (%)
청 402
9.9%
옥 389
9.6%
천 389
9.6%
군 363
 
8.9%
북 343
 
8.4%
도 323
 
7.9%
충 311
 
7.7%
리 311
 
7.7%
면 237
 
5.8%
이 74
 
1.8%
Other values (116) 923
22.7%

위도
Text

Distinct308
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T04:59:52.318523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.884244
Min length9

Characters and Unicode

Total characters3385
Distinct characters12
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

Unique305 ?
Unique (%)98.1%

Sample

1st row36.31683409
2nd row36.31669323
3rd row36.31616404
4th row36.31378827
5th row36.3051643
ValueCountFrequency (%)
36.34506459 2
 
0.6%
36.34670165 2
 
0.6%
36.29667531 2
 
0.6%
36.38217661 1
 
0.3%
36.35439268 1
 
0.3%
36.32380951 1
 
0.3%
36.31316589 1
 
0.3%
36.32381553 1
 
0.3%
36.32554039 1
 
0.3%
36.33195802 1
 
0.3%
Other values (298) 298
95.8%
2023-12-13T04:59:52.824802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 685
20.2%
6 506
14.9%
2 330
9.7%
. 310
9.2%
9 240
 
7.1%
5 236
 
7.0%
7 230
 
6.8%
4 224
 
6.6%
1 221
 
6.5%
8 216
 
6.4%
Other values (2) 187
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3074
90.8%
Other Punctuation 311
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 685
22.3%
6 506
16.5%
2 330
10.7%
9 240
 
7.8%
5 236
 
7.7%
7 230
 
7.5%
4 224
 
7.3%
1 221
 
7.2%
8 216
 
7.0%
0 186
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 310
99.7%
/ 1
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 3385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 685
20.2%
6 506
14.9%
2 330
9.7%
. 310
9.2%
9 240
 
7.1%
5 236
 
7.0%
7 230
 
6.8%
4 224
 
6.6%
1 221
 
6.5%
8 216
 
6.4%
Other values (2) 187
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 685
20.2%
6 506
14.9%
2 330
9.7%
. 310
9.2%
9 240
 
7.1%
5 236
 
7.0%
7 230
 
6.8%
4 224
 
6.6%
1 221
 
6.5%
8 216
 
6.4%
Other values (2) 187
 
5.5%

경도
Real number (ℝ)

Distinct308
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.64212
Minimum127.50016
Maximum127.86107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T04:59:53.033932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.50016
5-th percentile127.52611
Q1127.57331
median127.62831
Q3127.6902
95-th percentile127.79764
Maximum127.86107
Range0.3609126
Interquartile range (IQR)0.1168953

Descriptive statistics

Standard deviation0.086279292
Coefficient of variation (CV)0.00067594686
Kurtosis-0.52131457
Mean127.64212
Median Absolute Deviation (MAD)0.0569591
Skewness0.57599334
Sum39696.7
Variance0.0074441163
MonotonicityNot monotonic
2023-12-13T04:59:53.206569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7973229 2
 
0.6%
127.790525 2
 
0.6%
127.5550628 2
 
0.6%
127.5812922 1
 
0.3%
127.8092503 1
 
0.3%
127.8304408 1
 
0.3%
127.8341669 1
 
0.3%
127.8349527 1
 
0.3%
127.824967 1
 
0.3%
127.8178684 1
 
0.3%
Other values (298) 298
95.8%
ValueCountFrequency (%)
127.5001611 1
0.3%
127.5050972 1
0.3%
127.5083156 1
0.3%
127.5095522 1
0.3%
127.5108644 1
0.3%
127.5121821 1
0.3%
127.5133486 1
0.3%
127.5160816 1
0.3%
127.5161141 1
0.3%
127.5166817 1
0.3%
ValueCountFrequency (%)
127.8610737 1
0.3%
127.8529075 1
0.3%
127.8493148 1
0.3%
127.8470192 1
0.3%
127.8420582 1
0.3%
127.8349527 1
0.3%
127.8341669 1
0.3%
127.8307906 1
0.3%
127.8304408 1
0.3%
127.824967 1
0.3%

면적(m2)
Real number (ℝ)

Distinct278
Distinct (%)89.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.161097
Minimum13.22
Maximum392.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T04:59:53.389792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.22
5-th percentile49
Q174.4025
median86.48
Q3103.5225
95-th percentile199.796
Maximum392.37
Range379.15
Interquartile range (IQR)29.12

Descriptive statistics

Standard deviation48.042316
Coefficient of variation (CV)0.48448754
Kurtosis8.2107711
Mean99.161097
Median Absolute Deviation (MAD)13.595
Skewness2.4015509
Sum30739.94
Variance2308.0641
MonotonicityNot monotonic
2023-12-13T04:59:53.575436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.0 6
 
1.9%
84.0 6
 
1.9%
49.0 3
 
1.0%
99.0 3
 
1.0%
60.0 3
 
1.0%
86.1 3
 
1.0%
100.0 2
 
0.6%
73.5 2
 
0.6%
89.97 2
 
0.6%
86.4 2
 
0.6%
Other values (268) 278
89.4%
ValueCountFrequency (%)
13.22 1
0.3%
27.0 1
0.3%
28.5 1
0.3%
32.4 1
0.3%
34.0 1
0.3%
42.0 2
0.6%
44.84 1
0.3%
45.0 1
0.3%
45.36 1
0.3%
47.46 1
0.3%
ValueCountFrequency (%)
392.37 1
0.3%
348.9 1
0.3%
281.67 1
0.3%
273.1 1
0.3%
250.2 1
0.3%
249.85 1
0.3%
247.0 1
0.3%
244.0 1
0.3%
239.52 1
0.3%
232.41 1
0.3%

Interactions

2023-12-13T04:59:48.334136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:47.743086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:48.034895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:48.446593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:47.831780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:48.131020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:48.567128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:47.933775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:59:48.228053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:59:53.682286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분경도면적(m2)
연번1.0000.6420.9310.268
구분0.6421.0000.4690.159
경도0.9310.4691.0000.000
면적(m2)0.2680.1590.0001.000
2023-12-13T04:59:53.782524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도면적(m2)구분
연번1.0000.0610.2770.319
경도0.0611.0000.0310.211
면적(m2)0.2770.0311.0000.065
구분0.3190.2110.0651.000

Missing values

2023-12-13T04:59:48.726672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:59:48.895616image/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

연번구분도로명주소지번주소위도경도면적(m2)
01경로당+마을회관+무더위심터충청북도 옥천군 옥천읍 향수2길 46-11충청북도 옥천군 옥천읍 죽향리 52-236.31683409127.58129292.82
12경로당+마을회관충청북도 옥천군 옥천읍 성왕로 1274, 옥향@충청북도 옥천군 옥천읍 죽향리 153-2번지 옥향@36.31669323127.57880570.0
23경로당충청북도 옥천군 옥천읍 성왕로 1262, 향수마을@ 101충청북도 옥천군 옥천읍 죽향 196-2 향수마을@ 10136.31616404127.57735872.81
34경로당+마을회관+무더위심터충청북도 옥천군 옥천읍 향수2길 9충청북도 옥천군 옥천읍 문정리 5336.31378827127.579278109.16
45경로당+마을회관+무더위심터충청북도 옥천군 옥천읍 문정2길13-15충청북도 옥천군 옥천읍 문정리 446-2336.3051643127.57327983.45
56경로당+마을회관충청북도 옥천군 옥천읍 동부로 16, 하늘빛@ 105충청북도 옥천군 옥천읍 문정리 430-1 하늘빛@10536.30608229127.5736895.94
67경로당+마을회관+무더위심터충청북도 옥천군 옥천읍 관성로1길 18, 진달래@충청북도 옥천군 옥천읍 문정리 467-5 진달래@36.30334731127.57302560.0
78경로당+마을회관+무더위심터충청북도 옥천군 옥천읍 문장로2길 9, 문정@2단지충청북도 옥천군 옥천읍 문정리 374 주공2단지36.30329811127.57669865.0
89경로당+무더위심터충청북도 옥천군 옥천읍 문장로2길 10, 문정@3단지충청북도 옥천군 옥천읍 문정리 376 주공3단지36.30182951127.57722965.0
910경로당+무더위심터충청북도 옥천군 옥천읍 향수3길 30충청북도 옥천군 옥천읍 상계리 96-336.31523062127.58072282.5
연번구분도로명주소지번주소위도경도면적(m2)
301302경로당+무더위심터충청북도 옥천군 군북면 석호1길74충청북도 옥천군 군북면 석호리 50536.36093925127.581964147.69
302303경로당충청북도 옥천군 군북면 석호길 419충청북도 옥천군 군북면 석호리 84-236.37820434127.59405688.45
303304경로당충청북도 옥천군 군북면 국원1길11충청북도 옥천군 군북면 국원리 108-1236.33963111127.58956692.64
304305경로당+무더위심터충청북도 옥천군 군북면 국원2길1충청북도 옥천군 군북면 국원리 232-136.35048159127.590941182.04
305306경로당충청북도 옥천군 군북면 국원3길45-2충청북도 옥천군 군북면 국원리 25036.35098059127.58584887.2
306307경로당충청북도 옥천군 군북면 소정2길 1충청북도 옥천군 군북면 소정리 384-136.35580814127.596555239.52
307308경로당+무더위심터충청북도 옥천군 군북면 성왕로 1900충청북도 옥천군 군북면 소정리 73-436.3618466127.60511894.79
308309경로당+무더위심터충청북도 옥천군 군북면 답양막지길404충청북도 옥천군 군북면 막지리 224-136.37500369127.6068989.11
309310경로당+무더위심터충청북도 옥천군 군북면 답양막지길205충청북도 옥천군 군북면 막지리 641-136.38266541127.601966126.79
310311마을회관충청북도 옥천군 군북면 방아실길 75충청북도 옥천군 군북면 대정리 52636.39126448127.54409139.98