Overview

Dataset statistics

Number of variables8
Number of observations252
Missing cells55
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory68.5 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description시민 알 권리 충족을 위하여 문경시 마을회관의 마을회관명, 주소, 건축면적, 전화번호 등 자료 등을 공공데이터 목록등록관리시스템에 게시
Author경상북도 문경시
URLhttps://www.data.go.kr/data/15004731/fileData.do

Alerts

연번 is highly overall correlated with 읍면동High correlation
연면적 is highly overall correlated with 층수High correlation
읍면동 is highly overall correlated with 연번High correlation
층수 is highly overall correlated with 연면적High correlation
전화번호 has 55 (21.8%) missing valuesMissing
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:18:43.671421
Analysis finished2023-12-12 04:18:45.068482
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5
Minimum1
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T13:18:45.152319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.55
Q163.75
median126.5
Q3189.25
95-th percentile239.45
Maximum252
Range251
Interquartile range (IQR)125.5

Descriptive statistics

Standard deviation72.890329
Coefficient of variation (CV)0.57620813
Kurtosis-1.2
Mean126.5
Median Absolute Deviation (MAD)63
Skewness0
Sum31878
Variance5313
MonotonicityStrictly increasing
2023-12-12T13:18:45.385445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%

읍면동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
문경읍
33 
가은읍
32 
산양면
31 
산북면
29 
농암면
27 
Other values (9)
100 

Length

Max length4
Median length3
Mean length3.0873016
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
문경읍 33
13.1%
가은읍 32
12.7%
산양면 31
12.3%
산북면 29
11.5%
농암면 27
10.7%
영순면 22
8.7%
동로면 21
8.3%
마성면 18
7.1%
호계면 17
6.7%
점촌4동 9
 
3.6%
Other values (4) 13
 
5.2%

Length

2023-12-12T13:18:45.553352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문경읍 33
13.1%
가은읍 32
12.7%
산양면 31
12.3%
산북면 29
11.5%
농암면 27
10.7%
영순면 22
8.7%
동로면 21
8.3%
마성면 18
7.1%
호계면 17
6.7%
점촌4동 9
 
3.6%
Other values (4) 13
 
5.2%

마을회관명
Text

Distinct242
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T13:18:45.959528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.1190476
Min length6

Characters and Unicode

Total characters2298
Distinct characters165
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

Unique232 ?
Unique (%)92.1%

Sample

1st row상리1리 마을회관
2nd row상리2리 마을회관
3rd row하리1리 마을회관
4th row하리2리 마을회관
5th row교촌리 마을회관
ValueCountFrequency (%)
마을회관 233
46.7%
마을회관(3통 3
 
0.6%
김용리 2
 
0.4%
화산2리 2
 
0.4%
호암리 2
 
0.4%
내서1리 2
 
0.4%
월천리 2
 
0.4%
외어2리 2
 
0.4%
적성1리 2
 
0.4%
송죽1리 2
 
0.4%
Other values (241) 247
49.5%
2023-12-12T13:18:46.571994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 257
11.2%
관 256
11.1%
회 253
11.0%
을 252
11.0%
249
10.8%
리 236
10.3%
1 95
 
4.1%
2 84
 
3.7%
곡 32
 
1.4%
3 23
 
1.0%
Other values (155) 561
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1789
77.9%
Space Separator 249
 
10.8%
Decimal Number 215
 
9.4%
Open Punctuation 20
 
0.9%
Close Punctuation 20
 
0.9%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 257
14.4%
관 256
14.3%
회 253
14.1%
을 252
14.1%
리 236
13.2%
곡 32
 
1.8%
통 18
 
1.0%
천 15
 
0.8%
지 14
 
0.8%
내 13
 
0.7%
Other values (140) 443
24.8%
Decimal Number
ValueCountFrequency (%)
1 95
44.2%
2 84
39.1%
3 23
 
10.7%
4 3
 
1.4%
7 3
 
1.4%
9 2
 
0.9%
8 2
 
0.9%
0 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1789
77.9%
Common 509
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 257
14.4%
관 256
14.3%
회 253
14.1%
을 252
14.1%
리 236
13.2%
곡 32
 
1.8%
통 18
 
1.0%
천 15
 
0.8%
지 14
 
0.8%
내 13
 
0.7%
Other values (140) 443
24.8%
Common
ValueCountFrequency (%)
249
48.9%
1 95
 
18.7%
2 84
 
16.5%
3 23
 
4.5%
( 20
 
3.9%
) 20
 
3.9%
, 4
 
0.8%
4 3
 
0.6%
7 3
 
0.6%
9 2
 
0.4%
Other values (5) 6
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1789
77.9%
ASCII 509
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 257
14.4%
관 256
14.3%
회 253
14.1%
을 252
14.1%
리 236
13.2%
곡 32
 
1.8%
통 18
 
1.0%
천 15
 
0.8%
지 14
 
0.8%
내 13
 
0.7%
Other values (140) 443
24.8%
ASCII
ValueCountFrequency (%)
249
48.9%
1 95
 
18.7%
2 84
 
16.5%
3 23
 
4.5%
( 20
 
3.9%
) 20
 
3.9%
, 4
 
0.8%
4 3
 
0.6%
7 3
 
0.6%
9 2
 
0.4%
Other values (5) 6
 
1.2%

소재지
Text

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T13:18:46.950200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length26.321429
Min length16

Characters and Unicode

Total characters6633
Distinct characters221
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

Unique252 ?
Unique (%)100.0%

Sample

1st row경상북도 문경시 주흘3길 70(상리 403-11)
2nd row경상북도 문경시 문희로 67-1(상리 454-20)
3rd row경상북도 문경시 하리2길 43(하리 11-1)
4th row경상북도 문경시 온천6길 26(하리 358)
5th row경상북도 문경시 향교길 5-6(교촌리 155-2)
ValueCountFrequency (%)
경상북도 252
 
20.0%
문경시 252
 
20.0%
1필지 12
 
1.0%
금천로 4
 
0.3%
평천길 3
 
0.2%
2필지 3
 
0.2%
흥덕동 2
 
0.2%
576-3 2
 
0.2%
208 2
 
0.2%
무운로 2
 
0.2%
Other values (714) 729
57.7%
2023-12-12T13:18:47.461527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1011
 
15.2%
경 505
 
7.6%
1 318
 
4.8%
상 264
 
4.0%
문 260
 
3.9%
도 258
 
3.9%
북 257
 
3.9%
시 252
 
3.8%
) 239
 
3.6%
( 239
 
3.6%
Other values (211) 3030
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3389
51.1%
Decimal Number 1539
23.2%
Space Separator 1011
 
15.2%
Close Punctuation 239
 
3.6%
Open Punctuation 239
 
3.6%
Dash Punctuation 216
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 505
14.9%
상 264
 
7.8%
문 260
 
7.7%
도 258
 
7.6%
북 257
 
7.6%
시 252
 
7.4%
리 239
 
7.1%
길 214
 
6.3%
곡 45
 
1.3%
지 43
 
1.3%
Other values (197) 1052
31.0%
Decimal Number
ValueCountFrequency (%)
1 318
20.7%
2 222
14.4%
3 192
12.5%
4 165
10.7%
6 143
9.3%
5 126
 
8.2%
7 108
 
7.0%
8 103
 
6.7%
9 83
 
5.4%
0 79
 
5.1%
Space Separator
ValueCountFrequency (%)
1011
100.0%
Close Punctuation
ValueCountFrequency (%)
) 239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3389
51.1%
Common 3244
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 505
14.9%
상 264
 
7.8%
문 260
 
7.7%
도 258
 
7.6%
북 257
 
7.6%
시 252
 
7.4%
리 239
 
7.1%
길 214
 
6.3%
곡 45
 
1.3%
지 43
 
1.3%
Other values (197) 1052
31.0%
Common
ValueCountFrequency (%)
1011
31.2%
1 318
 
9.8%
) 239
 
7.4%
( 239
 
7.4%
2 222
 
6.8%
- 216
 
6.7%
3 192
 
5.9%
4 165
 
5.1%
6 143
 
4.4%
5 126
 
3.9%
Other values (4) 373
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3389
51.1%
ASCII 3244
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1011
31.2%
1 318
 
9.8%
) 239
 
7.4%
( 239
 
7.4%
2 222
 
6.8%
- 216
 
6.7%
3 192
 
5.9%
4 165
 
5.1%
6 143
 
4.4%
5 126
 
3.9%
Other values (4) 373
 
11.5%
Hangul
ValueCountFrequency (%)
경 505
14.9%
상 264
 
7.8%
문 260
 
7.7%
도 258
 
7.6%
북 257
 
7.6%
시 252
 
7.4%
리 239
 
7.1%
길 214
 
6.3%
곡 45
 
1.3%
지 43
 
1.3%
Other values (197) 1052
31.0%

건축연도
Real number (ℝ)

Distinct41
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.1667
Minimum1966
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T13:18:47.611445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1966
5-th percentile1979.55
Q11996
median2001.5
Q32006
95-th percentile2012
Maximum2019
Range53
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.0423968
Coefficient of variation (CV)0.0045208217
Kurtosis1.7828552
Mean2000.1667
Median Absolute Deviation (MAD)4.5
Skewness-1.026737
Sum504042
Variance81.76494
MonotonicityNot monotonic
2023-12-12T13:18:47.779188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2004 20
 
7.9%
1998 17
 
6.7%
2002 17
 
6.7%
2001 14
 
5.6%
1997 13
 
5.2%
2005 12
 
4.8%
2006 11
 
4.4%
2003 11
 
4.4%
2007 11
 
4.4%
1996 10
 
4.0%
Other values (31) 116
46.0%
ValueCountFrequency (%)
1966 1
 
0.4%
1968 1
 
0.4%
1973 1
 
0.4%
1975 2
0.8%
1976 2
0.8%
1978 2
0.8%
1979 4
1.6%
1980 2
0.8%
1981 1
 
0.4%
1983 2
0.8%
ValueCountFrequency (%)
2019 1
 
0.4%
2018 2
 
0.8%
2017 3
 
1.2%
2016 2
 
0.8%
2015 1
 
0.4%
2014 2
 
0.8%
2012 3
 
1.2%
2011 8
3.2%
2010 5
2.0%
2009 7
2.8%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.91187
Minimum27
Maximum493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T13:18:47.964094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile62
Q186
median108
Q3165
95-th percentile262
Maximum493
Range466
Interquartile range (IQR)79

Descriptive statistics

Standard deviation65.028926
Coefficient of variation (CV)0.49673822
Kurtosis3.9679155
Mean130.91187
Median Absolute Deviation (MAD)33.5
Skewness1.5799371
Sum32989.79
Variance4228.7613
MonotonicityNot monotonic
2023-12-12T13:18:48.130431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 7
 
2.8%
69.0 5
 
2.0%
94.0 5
 
2.0%
78.0 5
 
2.0%
66.0 5
 
2.0%
200.0 4
 
1.6%
93.0 4
 
1.6%
148.0 4
 
1.6%
108.0 4
 
1.6%
100.0 4
 
1.6%
Other values (129) 205
81.3%
ValueCountFrequency (%)
27.0 1
0.4%
40.0 1
0.4%
44.0 1
0.4%
49.0 1
0.4%
50.0 2
0.8%
53.0 2
0.8%
55.0 1
0.4%
56.0 1
0.4%
57.0 1
0.4%
59.0 1
0.4%
ValueCountFrequency (%)
493.0 1
 
0.4%
341.0 1
 
0.4%
338.0 1
 
0.4%
331.0 1
 
0.4%
298.0 1
 
0.4%
290.0 1
 
0.4%
289.0 1
 
0.4%
288.0 1
 
0.4%
274.0 3
1.2%
264.0 1
 
0.4%

층수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
151 
2
100 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 151
59.9%
2 100
39.7%
3 1
 
0.4%

Length

2023-12-12T13:18:48.280534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:18:48.386940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 151
59.9%
2 100
39.7%
3 1
 
0.4%

전화번호
Text

MISSING 

Distinct197
Distinct (%)100.0%
Missing55
Missing (%)21.8%
Memory size2.1 KiB
2023-12-12T13:18:48.962786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2364
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

Unique197 ?
Unique (%)100.0%

Sample

1st row054-572-1565
2nd row054-571-7199
3rd row054-571-0115
4th row054-571-4794
5th row054-571-6876
ValueCountFrequency (%)
054-572-1378 1
 
0.5%
054-531-9542 1
 
0.5%
054-553-1884 1
 
0.5%
054-552-3515 1
 
0.5%
054-553-8225 1
 
0.5%
054-554-7776 1
 
0.5%
054-552-9256 1
 
0.5%
054-552-7757 1
 
0.5%
054-553-4933 1
 
0.5%
054-553-5871 1
 
0.5%
Other values (187) 187
94.9%
2023-12-12T13:18:49.465506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 615
26.0%
- 394
16.7%
0 287
12.1%
4 276
11.7%
2 161
 
6.8%
7 145
 
6.1%
1 140
 
5.9%
3 133
 
5.6%
6 76
 
3.2%
8 69
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1970
83.3%
Dash Punctuation 394
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 615
31.2%
0 287
14.6%
4 276
14.0%
2 161
 
8.2%
7 145
 
7.4%
1 140
 
7.1%
3 133
 
6.8%
6 76
 
3.9%
8 69
 
3.5%
9 68
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 615
26.0%
- 394
16.7%
0 287
12.1%
4 276
11.7%
2 161
 
6.8%
7 145
 
6.1%
1 140
 
5.9%
3 133
 
5.6%
6 76
 
3.2%
8 69
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 615
26.0%
- 394
16.7%
0 287
12.1%
4 276
11.7%
2 161
 
6.8%
7 145
 
6.1%
1 140
 
5.9%
3 133
 
5.6%
6 76
 
3.2%
8 69
 
2.9%

Interactions

2023-12-12T13:18:44.555886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.037365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.284815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.649037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.118903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.381226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.752294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.210598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:44.477603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:18:49.595172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동건축연도연면적층수
연번1.0000.9320.0000.1830.311
읍면동0.9321.0000.2880.2550.314
건축연도0.0000.2881.0000.4010.417
연면적0.1830.2550.4011.0000.898
층수0.3110.3140.4170.8981.000
2023-12-12T13:18:49.713585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동층수
읍면동1.0000.179
층수0.1791.000
2023-12-12T13:18:49.825859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건축연도연면적읍면동층수
연번1.0000.077-0.0500.7350.193
건축연도0.0771.000-0.0780.1110.274
연면적-0.050-0.0781.0000.1120.871
읍면동0.7350.1110.1121.0000.179
층수0.1930.2740.8710.1791.000

Missing values

2023-12-12T13:18:44.866330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:18:45.016748image/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

연번읍면동마을회관명소재지건축연도연면적층수전화번호
01문경읍상리1리 마을회관경상북도 문경시 주흘3길 70(상리 403-11)2006109.01054-572-1565
12문경읍상리2리 마을회관경상북도 문경시 문희로 67-1(상리 454-20)2002166.02054-571-7199
23문경읍하리1리 마을회관경상북도 문경시 하리2길 43(하리 11-1)1994160.02054-571-0115
34문경읍하리2리 마을회관경상북도 문경시 온천6길 26(하리 358)1999150.01054-571-4794
45문경읍교촌리 마을회관경상북도 문경시 향교길 5-6(교촌리 155-2)1997194.02054-571-6876
56문경읍요성리 마을회관경상북도 문경시 요성1길 2(요성리 406-4)2010174.02054-571-0588
67문경읍지곡1리 마을회관경상북도 문경시 모싯골길 64(지곡리 212)1993182.02054-571-8320
78문경읍지곡2리 마을회관경상북도 문경시 요성지곡길 245(지곡리 498)200094.02054-572-0791
89문경읍마원1리 마을회관경상북도 문경시 오서길 70(마원리 679-2)2000220.02054-571-8885
910문경읍마원2리 마을회관경상북도 문경시 마원새터길 42(마원리 208)2007164.02054-571-2058
연번읍면동마을회관명소재지건축연도연면적층수전화번호
242243점촌4동틀모산마을회관경상북도 문경시 틀모산길 54-1(신기동 531)199593.01054-552-5990
243244점촌4동장승백이 마을회관(3통)경상북도 문경시 장승백이2길 5(공평동 691)2004163.02054-552-8840
244245점촌4동배실 마을회관(3통)경상북도 문경시 배실안길 22(공평동 211)2004166.02<NA>
245246점촌4동진곡 마을회관(4통)경상북도 문경시 진곡길 169(공평동 843-3)외 1필지1996117.02<NA>
246247점촌4동불정동 마을회관(7통)경상북도 문경시 안불정길 42(불정동 280-1)2006128.02054-553-9043
247248점촌4동17통 마을회관경상북도 문경시 표석골1길 8(공평동 429-6)1995157.02054-554-1807
248249점촌4동2통 마을회관경상북도 문경시 작사길 4(공평동 344-5)2006241.02054-555-8066
249250점촌4동주평마을회관경상북도 문경시 주평길 12(신기동 907-12)201799.61<NA>
250251점촌4동9통마을회관경상북도 문경시 신기공단2길 14(신기동 146)201899.751<NA>
251252점촌5동새동네 마을회관경상북도 문경시 새동네2길 5-181990195.02<NA>