Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Numeric2
Text3
Categorical2
DateTime1

Dataset

Description전북특별자치도 완주군에서 관리하는 공유재산(행정재산 및 일반재산)에 대한 데이터로 토지 및 건물 등에 관한 데이터를 제공합니다.
Author전북특별자치도 완주군
URLhttps://www.data.go.kr/data/3076571/fileData.do

Alerts

재산용도 is highly imbalanced (81.1%)Imbalance
취득액 is highly skewed (γ1 = 43.6672555)Skewed
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:49:55.959115
Analysis finished2024-04-21 02:49:58.528639
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19468.732
Minimum4
Maximum38943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:49:58.608666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile1839.4
Q19546
median19599.5
Q329307.25
95-th percentile37038.15
Maximum38943
Range38939
Interquartile range (IQR)19761.25

Descriptive statistics

Standard deviation11327.799
Coefficient of variation (CV)0.58184577
Kurtosis-1.2196647
Mean19468.732
Median Absolute Deviation (MAD)9903.5
Skewness-0.0081885683
Sum1.9468732 × 108
Variance1.2831903 × 108
MonotonicityNot monotonic
2024-04-21T11:49:58.758515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33235 1
 
< 0.1%
34649 1
 
< 0.1%
7007 1
 
< 0.1%
32726 1
 
< 0.1%
2707 1
 
< 0.1%
31940 1
 
< 0.1%
25335 1
 
< 0.1%
6948 1
 
< 0.1%
18427 1
 
< 0.1%
15398 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
11 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
26 1
< 0.1%
28 1
< 0.1%
37 1
< 0.1%
48 1
< 0.1%
ValueCountFrequency (%)
38943 1
< 0.1%
38940 1
< 0.1%
38938 1
< 0.1%
38934 1
< 0.1%
38933 1
< 0.1%
38932 1
< 0.1%
38929 1
< 0.1%
38922 1
< 0.1%
38921 1
< 0.1%
38918 1
< 0.1%
Distinct1774
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:49:59.003247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length7.2875
Min length1

Characters and Unicode

Total characters72875
Distinct characters407
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1131 ?
Unique (%)11.3%

Sample

1st row구라소하천 수해복구공사(박병춘)
2nd row구거
3rd row만경강하천공사
4th row
5th row지방도740
ValueCountFrequency (%)
안길 2428
 
16.4%
도로 605
 
4.1%
소하천 408
 
2.8%
도로확포장공사 311
 
2.1%
정비공사 198
 
1.3%
편입토지 196
 
1.3%
정비사업 196
 
1.3%
수해복구공사 186
 
1.3%
지방도749 179
 
1.2%
삼례 154
 
1.0%
Other values (1977) 9955
67.2%
2024-04-21T11:49:59.376535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5352
 
7.3%
3013
 
4.1%
2904
 
4.0%
2476
 
3.4%
2460
 
3.4%
2154
 
3.0%
2023
 
2.8%
2004
 
2.7%
1949
 
2.7%
1635
 
2.2%
Other values (397) 46905
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58265
80.0%
Decimal Number 6393
 
8.8%
Space Separator 5352
 
7.3%
Open Punctuation 982
 
1.3%
Close Punctuation 975
 
1.3%
Dash Punctuation 407
 
0.6%
Math Symbol 391
 
0.5%
Other Punctuation 65
 
0.1%
Uppercase Letter 33
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3013
 
5.2%
2904
 
5.0%
2476
 
4.2%
2460
 
4.2%
2154
 
3.7%
2023
 
3.5%
2004
 
3.4%
1949
 
3.3%
1635
 
2.8%
1346
 
2.3%
Other values (361) 36301
62.3%
Decimal Number
ValueCountFrequency (%)
1 1358
21.2%
2 1196
18.7%
0 1181
18.5%
3 688
10.8%
7 648
10.1%
4 483
 
7.6%
9 410
 
6.4%
6 180
 
2.8%
5 157
 
2.5%
8 92
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 6
18.2%
I 5
15.2%
K 4
12.1%
T 4
12.1%
C 3
9.1%
L 3
9.1%
B 3
9.1%
A 3
9.1%
O 2
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 40
61.5%
* 14
 
21.5%
/ 10
 
15.4%
? 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
s 4
40.0%
t 2
20.0%
i 2
20.0%
k 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 968
98.6%
[ 14
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 961
98.6%
] 14
 
1.4%
Space Separator
ValueCountFrequency (%)
5352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 407
100.0%
Math Symbol
ValueCountFrequency (%)
~ 391
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58265
80.0%
Common 14567
 
20.0%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3013
 
5.2%
2904
 
5.0%
2476
 
4.2%
2460
 
4.2%
2154
 
3.7%
2023
 
3.5%
2004
 
3.4%
1949
 
3.3%
1635
 
2.8%
1346
 
2.3%
Other values (361) 36301
62.3%
Common
ValueCountFrequency (%)
5352
36.7%
1 1358
 
9.3%
2 1196
 
8.2%
0 1181
 
8.1%
( 968
 
6.6%
) 961
 
6.6%
3 688
 
4.7%
7 648
 
4.4%
4 483
 
3.3%
9 410
 
2.8%
Other values (13) 1322
 
9.1%
Latin
ValueCountFrequency (%)
S 6
14.0%
I 5
11.6%
K 4
9.3%
T 4
9.3%
s 4
9.3%
C 3
7.0%
L 3
7.0%
B 3
7.0%
A 3
7.0%
t 2
 
4.7%
Other values (3) 6
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58261
79.9%
ASCII 14610
 
20.0%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5352
36.6%
1 1358
 
9.3%
2 1196
 
8.2%
0 1181
 
8.1%
( 968
 
6.6%
) 961
 
6.6%
3 688
 
4.7%
7 648
 
4.4%
4 483
 
3.3%
9 410
 
2.8%
Other values (26) 1365
 
9.3%
Hangul
ValueCountFrequency (%)
3013
 
5.2%
2904
 
5.0%
2476
 
4.2%
2460
 
4.2%
2154
 
3.7%
2023
 
3.5%
2004
 
3.4%
1949
 
3.3%
1635
 
2.8%
1346
 
2.3%
Other values (357) 36297
62.3%
Compat Jamo
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

재산용도
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
행정재산
9710 
일반재산
 
290

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정재산 9710
97.1%
일반재산 290
 
2.9%

Length

2024-04-21T11:49:59.501302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:49:59.578671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정재산 9710
97.1%
일반재산 290
 
2.9%

소재지
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:49:59.866774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length23
Mean length23.2839
Min length19

Characters and Unicode

Total characters232839
Distinct characters171
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row전라북도 완주군 화산면 화월리 1162-3
2nd row전라북도 완주군 용진읍 간중리 508-3
3rd row전라북도 완주군 고산면 소향리 704-3
4th row전라북도 완주군 구이면 덕천리 산 235-16
5th row전라북도 완주군 운주면 산북리 328-7
ValueCountFrequency (%)
전라북도 10000
19.8%
완주군 9994
19.8%
봉동읍 1276
 
2.5%
구이면 1254
 
2.5%
삼례읍 1078
 
2.1%
용진읍 1030
 
2.0%
소양면 1017
 
2.0%
화산면 968
 
1.9%
고산면 746
 
1.5%
비봉면 641
 
1.3%
Other values (7218) 22592
44.7%
2024-04-21T11:50:00.323261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51172
22.0%
10362
 
4.5%
10188
 
4.4%
10162
 
4.4%
10147
 
4.4%
10031
 
4.3%
10000
 
4.3%
9996
 
4.3%
9994
 
4.3%
- 9686
 
4.2%
Other values (161) 91101
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130656
56.1%
Space Separator 51172
 
22.0%
Decimal Number 41305
 
17.7%
Dash Punctuation 9686
 
4.2%
Open Punctuation 10
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10362
 
7.9%
10188
 
7.8%
10162
 
7.8%
10147
 
7.8%
10031
 
7.7%
10000
 
7.7%
9996
 
7.7%
9994
 
7.6%
6615
 
5.1%
3514
 
2.7%
Other values (144) 39647
30.3%
Decimal Number
ValueCountFrequency (%)
1 7111
17.2%
2 5943
14.4%
3 4703
11.4%
4 4058
9.8%
5 3908
9.5%
6 3530
8.5%
7 3313
8.0%
8 3057
7.4%
9 2896
7.0%
0 2786
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
: 1
33.3%
Space Separator
ValueCountFrequency (%)
51172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9686
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130656
56.1%
Common 102183
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10362
 
7.9%
10188
 
7.8%
10162
 
7.8%
10147
 
7.8%
10031
 
7.7%
10000
 
7.7%
9996
 
7.7%
9994
 
7.6%
6615
 
5.1%
3514
 
2.7%
Other values (144) 39647
30.3%
Common
ValueCountFrequency (%)
51172
50.1%
- 9686
 
9.5%
1 7111
 
7.0%
2 5943
 
5.8%
3 4703
 
4.6%
4 4058
 
4.0%
5 3908
 
3.8%
6 3530
 
3.5%
7 3313
 
3.2%
8 3057
 
3.0%
Other values (7) 5702
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130656
56.1%
ASCII 102183
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51172
50.1%
- 9686
 
9.5%
1 7111
 
7.0%
2 5943
 
5.8%
3 4703
 
4.6%
4 4058
 
4.0%
5 3908
 
3.8%
6 3530
 
3.5%
7 3313
 
3.2%
8 3057
 
3.0%
Other values (7) 5702
 
5.6%
Hangul
ValueCountFrequency (%)
10362
 
7.9%
10188
 
7.8%
10162
 
7.8%
10147
 
7.8%
10031
 
7.7%
10000
 
7.7%
9996
 
7.7%
9994
 
7.6%
6615
 
5.1%
3514
 
2.7%
Other values (144) 39647
30.3%

취득액
Real number (ℝ)

SKEWED 

Distinct8812
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21865231
Minimum130
Maximum1.5317041 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:50:00.455509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130
5-th percentile66009.5
Q1377000
median1426000
Q36717250
95-th percentile60552090
Maximum1.5317041 × 1010
Range1.5317041 × 1010
Interquartile range (IQR)6340250

Descriptive statistics

Standard deviation2.4450189 × 108
Coefficient of variation (CV)11.182223
Kurtosis2371.8724
Mean21865231
Median Absolute Deviation (MAD)1280900
Skewness43.667255
Sum2.1865231 × 1011
Variance5.9781172 × 1016
MonotonicityNot monotonic
2024-04-21T11:50:00.580295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135000 8
 
0.1%
112000 8
 
0.1%
260000 7
 
0.1%
528000 7
 
0.1%
198000 7
 
0.1%
200000 7
 
0.1%
950000 6
 
0.1%
320000 6
 
0.1%
198900 6
 
0.1%
163800 6
 
0.1%
Other values (8802) 9932
99.3%
ValueCountFrequency (%)
130 1
< 0.1%
2079 1
< 0.1%
2260 1
< 0.1%
2440 1
< 0.1%
2500 1
< 0.1%
2970 1
< 0.1%
3500 1
< 0.1%
3703 1
< 0.1%
3762 1
< 0.1%
3960 1
< 0.1%
ValueCountFrequency (%)
15317041100 1
< 0.1%
12807183500 1
< 0.1%
6466084800 1
< 0.1%
5290880000 1
< 0.1%
3883782000 1
< 0.1%
3653972000 1
< 0.1%
3362095000 1
< 0.1%
3024721700 1
< 0.1%
2883790000 1
< 0.1%
2484678000 1
< 0.1%
Distinct3536
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1931-03-21 00:00:00
Maximum2023-07-10 00:00:00
2024-04-21T11:50:00.700010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:50:00.813109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지목
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도로
4522 
1861 
1281 
하천
657 
534 
Other values (20)
1145 

Length

Max length5
Median length2
Mean length1.6618
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row목장용지
2nd row구거
3rd row
4th row도로
5th row도로

Common Values

ValueCountFrequency (%)
도로 4522
45.2%
1861
18.6%
1281
 
12.8%
하천 657
 
6.6%
534
 
5.3%
임야 457
 
4.6%
구거 249
 
2.5%
유지 107
 
1.1%
잡종지 93
 
0.9%
제방 57
 
0.6%
Other values (15) 182
 
1.8%

Length

2024-04-21T11:50:00.944591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로 4522
45.2%
1861
18.6%
1281
 
12.8%
하천 657
 
6.6%
534
 
5.3%
임야 457
 
4.6%
구거 249
 
2.5%
유지 107
 
1.1%
잡종지 93
 
0.9%
제방 57
 
0.6%
Other values (15) 182
 
1.8%
Distinct1592
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:50:01.292559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.4591
Min length1

Characters and Unicode

Total characters24591
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique834 ?
Unique (%)8.3%

Sample

1st row35
2nd row164
3rd row734
4th row18
5th row7
ValueCountFrequency (%)
7 265
 
2.6%
10 260
 
2.6%
13 237
 
2.4%
17 208
 
2.1%
3 197
 
2.0%
1 179
 
1.8%
20 165
 
1.7%
23 158
 
1.6%
26 146
 
1.5%
33 128
 
1.3%
Other values (1582) 8057
80.6%
2024-04-21T11:50:01.746601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4540
18.5%
3 3243
13.2%
2 3126
12.7%
6 2271
9.2%
4 2075
8.4%
7 2001
8.1%
5 1965
8.0%
0 1959
8.0%
9 1753
 
7.1%
8 1646
 
6.7%
Other values (2) 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24579
> 99.9%
Space Separator 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4540
18.5%
3 3243
13.2%
2 3126
12.7%
6 2271
9.2%
4 2075
8.4%
7 2001
8.1%
5 1965
8.0%
0 1959
8.0%
9 1753
 
7.1%
8 1646
 
6.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4540
18.5%
3 3243
13.2%
2 3126
12.7%
6 2271
9.2%
4 2075
8.4%
7 2001
8.1%
5 1965
8.0%
0 1959
8.0%
9 1753
 
7.1%
8 1646
 
6.7%
Other values (2) 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4540
18.5%
3 3243
13.2%
2 3126
12.7%
6 2271
9.2%
4 2075
8.4%
7 2001
8.1%
5 1965
8.0%
0 1959
8.0%
9 1753
 
7.1%
8 1646
 
6.7%
Other values (2) 12
 
< 0.1%

Interactions

2024-04-21T11:49:58.105934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:57.846196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:58.207814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:49:57.998485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:50:02.006794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번재산용도취득액지목
순번1.0000.1350.0340.290
재산용도0.1351.0000.0500.245
취득액0.0340.0501.0000.390
지목0.2900.2450.3901.000
2024-04-21T11:50:02.087079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재산용도지목
재산용도1.0000.212
지목0.2121.000
2024-04-21T11:50:02.167144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번취득액재산용도지목
순번1.000-0.2840.1030.106
취득액-0.2841.0000.0540.177
재산용도0.1030.0541.0000.212
지목0.1060.1770.2121.000

Missing values

2024-04-21T11:49:58.333201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:49:58.466843image/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

순번재산명재산용도소재지취득액취득일자지목면적
3323433235구라소하천 수해복구공사(박병춘)행정재산전라북도 완주군 화산면 화월리 1162-35687502011-04-19목장용지35
1101711018구거행정재산전라북도 완주군 용진읍 간중리 508-314497602004-03-05구거164
2863228633만경강하천공사행정재산전라북도 완주군 고산면 소향리 704-3568424002010-01-26734
2297422975행정재산전라북도 완주군 구이면 덕천리 산 235-16732002008-10-17도로18
3171331714지방도740행정재산전라북도 완주군 운주면 산북리 328-7966001984-02-09도로7
1610916110행정재산전라북도 완주군 이서면 남계리 646-3611233002014-10-0247
3316833169구라소하천 수해복구공사(백중기)행정재산전라북도 완주군 화산면 화월리 1034-1163072902011-03-03931
1905719058안길행정재산전라북도 완주군 소양면 황운리 663-557456001997-10-07216
3361933620화산203행정재산전라북도 완주군 화산면 춘산리 409-14512901997-01-27147
65316532안길행정재산전라북도 완주군 봉동읍 장기리 8-32700001985-04-23도로10
순번재산명재산용도소재지취득액취득일자지목면적
3372733728도로행정재산전라북도 완주군 화산면 춘산리 571-22304801984-02-28도로43
1717917180소양302행정재산전라북도 완주군 소양면 신교리 865-21698301984-08-30도로17
1079910800오천소하천 정비사업 편입토지행정재산전라북도 완주군 용진읍 간중리 19-24111590002020-11-1882
3090630907군도7행정재산전라북도 완주군 비봉면 이전리 511-32268001991-03-2872
302303안길행정재산전라북도 완주군 삼례읍 삼례리 864-341066340002000-02-17도로1335
1758417585소양102행정재산전라북도 완주군 소양면 명덕리 631-91690202002-06-28도로54
1859418595안길행정재산전라북도 완주군 소양면 죽절리 636-24720001983-02-15도로40
2356523566안길행정재산전라북도 완주군 구이면 항가리 93-213671001985-04-09도로63
3078030781소하천행정재산전라북도 완주군 비봉면 이전리 114-243890002002-01-22하천836
2398623987안길행정재산전라북도 완주군 구이면 계곡리 101-43828001984-08-24도로33