Overview

Dataset statistics

Number of variables10
Number of observations216
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.6 KiB
Average record size in memory83.6 B

Variable types

Categorical2
Numeric2
DateTime3
Text3

Dataset

Description수산자원관리및조성 업무에 따른 제주특별자치도 제주시 공유수면점용허가 관련 허가번호, 점용위치, 점용목적, 점용면적(㎡) 등 정보입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/3083544/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 02:41:27.257494
Analysis finished2023-12-12 02:41:28.512595
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2020
88 
2018
70 
2019
58 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 88
40.7%
2018 70
32.4%
2019 58
26.9%

Length

2023-12-12T11:41:28.594667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:41:28.753606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 88
40.7%
2018 70
32.4%
2019 58
26.9%

허가번호 부번
Real number (ℝ)

Distinct120
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.736111
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T11:41:28.872033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q121
median46.5
Q373.25
95-th percentile110.25
Maximum121
Range120
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation32.931215
Coefficient of variation (CV)0.66211882
Kurtosis-0.83443093
Mean49.736111
Median Absolute Deviation (MAD)25.5
Skewness0.39616303
Sum10743
Variance1084.4649
MonotonicityNot monotonic
2023-12-12T11:41:29.035983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 5
 
2.3%
1 3
 
1.4%
21 3
 
1.4%
62 3
 
1.4%
60 3
 
1.4%
51 3
 
1.4%
50 3
 
1.4%
2 3
 
1.4%
47 3
 
1.4%
39 3
 
1.4%
Other values (110) 184
85.2%
ValueCountFrequency (%)
1 3
1.4%
2 3
1.4%
3 2
0.9%
4 3
1.4%
5 3
1.4%
6 3
1.4%
7 3
1.4%
8 3
1.4%
9 3
1.4%
10 2
0.9%
ValueCountFrequency (%)
121 1
0.5%
120 1
0.5%
119 1
0.5%
118 1
0.5%
117 1
0.5%
116 1
0.5%
115 1
0.5%
114 1
0.5%
113 1
0.5%
112 1
0.5%
Distinct126
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2015-07-08 00:00:00
Maximum2020-12-28 00:00:00
2023-12-12T11:41:29.193521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:29.356471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct124
Distinct (%)57.7%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
Minimum2016-06-14 00:00:00
Maximum2020-12-28 00:00:00
2023-12-12T11:41:29.513122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:29.678005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct136
Distinct (%)63.6%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
Minimum2018-06-06 00:00:00
Maximum2050-12-27 00:00:00
2023-12-12T11:41:29.838034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:30.002519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct192
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:41:30.292117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length28.467593
Min length20

Characters and Unicode

Total characters6149
Distinct characters136
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)80.1%

Sample

1st row제주특별자치도 제주시 한림읍 협재리 3005번지선
2nd row제주특별자치도 제주시 구좌읍 종달리 457-3
3rd row제주특별자치도 제주시 구좌읍 김녕리 497-4
4th row제주특별자치도 제주시 조천읍 신흥리 711-1
5th row제주특별자치도 제주시 구좌읍 김녕리 하도리 497-4
ValueCountFrequency (%)
제주특별자치도 216
19.9%
제주시 216
19.9%
구좌읍 56
 
5.2%
우도면 51
 
4.7%
연평리 49
 
4.5%
한림읍 27
 
2.5%
조천읍 19
 
1.8%
한경면 19
 
1.8%
하도리 14
 
1.3%
이호일동 14
 
1.3%
Other values (243) 402
37.1%
2023-12-12T11:41:30.727230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
891
 
14.5%
433
 
7.0%
432
 
7.0%
289
 
4.7%
231
 
3.8%
216
 
3.5%
216
 
3.5%
216
 
3.5%
216
 
3.5%
197
 
3.2%
Other values (126) 2812
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4194
68.2%
Space Separator 891
 
14.5%
Decimal Number 871
 
14.2%
Dash Punctuation 154
 
2.5%
Close Punctuation 18
 
0.3%
Open Punctuation 18
 
0.3%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
433
 
10.3%
432
 
10.3%
289
 
6.9%
231
 
5.5%
216
 
5.2%
216
 
5.2%
216
 
5.2%
216
 
5.2%
197
 
4.7%
188
 
4.5%
Other values (109) 1560
37.2%
Decimal Number
ValueCountFrequency (%)
1 160
18.4%
2 146
16.8%
3 104
11.9%
5 83
9.5%
6 77
8.8%
4 74
8.5%
7 66
7.6%
9 60
 
6.9%
0 55
 
6.3%
8 46
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4194
68.2%
Common 1953
31.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
433
 
10.3%
432
 
10.3%
289
 
6.9%
231
 
5.5%
216
 
5.2%
216
 
5.2%
216
 
5.2%
216
 
5.2%
197
 
4.7%
188
 
4.5%
Other values (109) 1560
37.2%
Common
ValueCountFrequency (%)
891
45.6%
1 160
 
8.2%
- 154
 
7.9%
2 146
 
7.5%
3 104
 
5.3%
5 83
 
4.2%
6 77
 
3.9%
4 74
 
3.8%
7 66
 
3.4%
9 60
 
3.1%
Other values (5) 138
 
7.1%
Latin
ValueCountFrequency (%)
m 1
50.0%
k 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4194
68.2%
ASCII 1954
31.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
891
45.6%
1 160
 
8.2%
- 154
 
7.9%
2 146
 
7.5%
3 104
 
5.3%
5 83
 
4.2%
6 77
 
3.9%
4 74
 
3.8%
7 66
 
3.4%
9 60
 
3.1%
Other values (6) 139
 
7.1%
Hangul
ValueCountFrequency (%)
433
 
10.3%
432
 
10.3%
289
 
6.9%
231
 
5.5%
216
 
5.2%
216
 
5.2%
216
 
5.2%
216
 
5.2%
197
 
4.7%
188
 
4.5%
Other values (109) 1560
37.2%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct160
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:41:31.057670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length57
Mean length18.319444
Min length4

Characters and Unicode

Total characters3957
Distinct characters344
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)64.8%

Sample

1st row어구보관함 설치
2nd row돈지당 주변환경 개선공사
3rd row지하수 관정
4th row조천지구 배수개선사업
5th row해수욕장 발 헹굼 시설 설치
ValueCountFrequency (%)
44
 
4.7%
설치 41
 
4.3%
어장진입로 20
 
2.1%
보수보강 19
 
2.0%
정비 17
 
1.8%
진입로 14
 
1.5%
마을어장 13
 
1.4%
운영 12
 
1.3%
해수욕장 12
 
1.3%
위한 11
 
1.2%
Other values (523) 741
78.5%
2023-12-12T11:41:31.495770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
 
18.4%
100
 
2.5%
95
 
2.4%
84
 
2.1%
72
 
1.8%
65
 
1.6%
62
 
1.6%
57
 
1.4%
56
 
1.4%
56
 
1.4%
Other values (334) 2581
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3116
78.7%
Space Separator 729
 
18.4%
Other Punctuation 28
 
0.7%
Open Punctuation 27
 
0.7%
Close Punctuation 27
 
0.7%
Decimal Number 22
 
0.6%
Uppercase Letter 6
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
 
3.2%
95
 
3.0%
84
 
2.7%
72
 
2.3%
65
 
2.1%
62
 
2.0%
57
 
1.8%
56
 
1.8%
56
 
1.8%
53
 
1.7%
Other values (313) 2416
77.5%
Decimal Number
ValueCountFrequency (%)
0 5
22.7%
1 5
22.7%
2 3
13.6%
9 2
 
9.1%
7 2
 
9.1%
4 2
 
9.1%
3 1
 
4.5%
8 1
 
4.5%
6 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
E 1
16.7%
Φ 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 24
85.7%
' 2
 
7.1%
. 2
 
7.1%
Space Separator
ValueCountFrequency (%)
729
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3116
78.7%
Common 835
 
21.1%
Latin 5
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
 
3.2%
95
 
3.0%
84
 
2.7%
72
 
2.3%
65
 
2.1%
62
 
2.0%
57
 
1.8%
56
 
1.8%
56
 
1.8%
53
 
1.7%
Other values (313) 2416
77.5%
Common
ValueCountFrequency (%)
729
87.3%
( 27
 
3.2%
) 27
 
3.2%
· 24
 
2.9%
0 5
 
0.6%
1 5
 
0.6%
2 3
 
0.4%
' 2
 
0.2%
9 2
 
0.2%
7 2
 
0.2%
Other values (7) 9
 
1.1%
Latin
ValueCountFrequency (%)
T 2
40.0%
P 2
40.0%
E 1
20.0%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3116
78.7%
ASCII 815
 
20.6%
None 25
 
0.6%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
89.4%
( 27
 
3.3%
) 27
 
3.3%
0 5
 
0.6%
1 5
 
0.6%
2 3
 
0.4%
T 2
 
0.2%
' 2
 
0.2%
P 2
 
0.2%
9 2
 
0.2%
Other values (8) 11
 
1.3%
Hangul
ValueCountFrequency (%)
100
 
3.2%
95
 
3.0%
84
 
2.7%
72
 
2.3%
65
 
2.1%
62
 
2.0%
57
 
1.8%
56
 
1.8%
56
 
1.8%
53
 
1.7%
Other values (313) 2416
77.5%
None
ValueCountFrequency (%)
· 24
96.0%
Φ 1
 
4.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

점용면적
Real number (ℝ)

Distinct161
Distinct (%)74.9%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean15404.949
Minimum0
Maximum1040225
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T11:41:31.612248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q139
median120
Q3545
95-th percentile3103.6
Maximum1040225
Range1040225
Interquartile range (IQR)506

Descriptive statistics

Standard deviation107147.68
Coefficient of variation (CV)6.9554064
Kurtosis69.637123
Mean15404.949
Median Absolute Deviation (MAD)101
Skewness8.163921
Sum3312064
Variance1.1480625 × 1010
MonotonicityNot monotonic
2023-12-12T11:41:31.729166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 9
 
4.2%
50 5
 
2.3%
1 4
 
1.9%
4 4
 
1.9%
90 3
 
1.4%
159 3
 
1.4%
19 3
 
1.4%
24 3
 
1.4%
60 3
 
1.4%
490000 2
 
0.9%
Other values (151) 176
81.5%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
1.9%
3 2
0.9%
4 4
1.9%
6 1
 
0.5%
7 2
0.9%
8 2
0.9%
9 2
0.9%
10 2
0.9%
15 1
 
0.5%
ValueCountFrequency (%)
1040225 1
0.5%
957695 1
0.5%
490000 2
0.9%
160000 1
0.5%
40000 1
0.5%
29000 1
0.5%
12613 1
0.5%
9614 1
0.5%
5000 1
0.5%
3623 1
0.5%
Distinct89
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:41:31.973844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length9.287037
Min length2

Characters and Unicode

Total characters2006
Distinct characters172
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)30.1%

Sample

1st row비양도어촌계장
2nd row도 해녀유산문화과장
3rd row김녕리새마을회
4th row제주시장(건설과장)
5th row구좌읍장
ValueCountFrequency (%)
제주시장(해양수산과장 35
 
13.2%
구좌읍장 18
 
6.8%
우도면장 15
 
5.6%
개인 11
 
4.1%
제주특별자치도지사(해양산업과장 11
 
4.1%
해양수산과장 8
 
3.0%
조천읍장 8
 
3.0%
주식회사 6
 
2.3%
한경면장 5
 
1.9%
추자면장 5
 
1.9%
Other values (106) 144
54.1%
2023-12-12T11:41:32.353317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
11.0%
95
 
4.7%
93
 
4.6%
90
 
4.5%
87
 
4.3%
86
 
4.3%
( 78
 
3.9%
) 78
 
3.9%
77
 
3.8%
75
 
3.7%
Other values (162) 1026
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1754
87.4%
Open Punctuation 78
 
3.9%
Close Punctuation 78
 
3.9%
Space Separator 75
 
3.7%
Other Symbol 14
 
0.7%
Other Punctuation 6
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
12.6%
95
 
5.4%
93
 
5.3%
90
 
5.1%
87
 
5.0%
86
 
4.9%
77
 
4.4%
64
 
3.6%
56
 
3.2%
51
 
2.9%
Other values (156) 834
47.5%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Symbol
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
· 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1768
88.1%
Common 238
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
12.5%
95
 
5.4%
93
 
5.3%
90
 
5.1%
87
 
4.9%
86
 
4.9%
77
 
4.4%
64
 
3.6%
56
 
3.2%
51
 
2.9%
Other values (157) 848
48.0%
Common
ValueCountFrequency (%)
( 78
32.8%
) 78
32.8%
75
31.5%
· 6
 
2.5%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1754
87.4%
ASCII 232
 
11.6%
None 20
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
221
 
12.6%
95
 
5.4%
93
 
5.3%
90
 
5.1%
87
 
5.0%
86
 
4.9%
77
 
4.4%
64
 
3.6%
56
 
3.2%
51
 
2.9%
Other values (156) 834
47.5%
ASCII
ValueCountFrequency (%)
( 78
33.6%
) 78
33.6%
75
32.3%
1 1
 
0.4%
None
ValueCountFrequency (%)
14
70.0%
· 6
30.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2021-12-31
216 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-31
2nd row2021-12-31
3rd row2021-12-31
4th row2021-12-31
5th row2021-12-31

Common Values

ValueCountFrequency (%)
2021-12-31 216
100.0%

Length

2023-12-12T11:41:32.498264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:41:32.608763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-31 216
100.0%

Interactions

2023-12-12T11:41:27.914577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:27.743692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:28.010914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:41:27.829085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:41:32.685454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가 번호 본번허가번호 부번점용면적피허자
허가 번호 본번1.0000.5710.0000.684
허가번호 부번0.5711.0000.0000.679
점용면적0.0000.0001.0000.979
피허자0.6840.6790.9791.000
2023-12-12T11:41:32.783725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가번호 부번점용면적허가 번호 본번
허가번호 부번1.0000.0320.407
점용면적0.0321.0000.000
허가 번호 본번0.4070.0001.000

Missing values

2023-12-12T11:41:28.132150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:41:28.281949image/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.
2023-12-12T11:41:28.414168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

허가 번호 본번허가번호 부번허가년월일점용기간 개시일점용기간 종료일점용위치점용목적점용면적피허자데이터기준일자
0201812018-01-042018-01-042023-01-03제주특별자치도 제주시 한림읍 협재리 3005번지선어구보관함 설치90비양도어촌계장2021-12-31
1201822018-02-062018-02-062023-05-30제주특별자치도 제주시 구좌읍 종달리 457-3돈지당 주변환경 개선공사60도 해녀유산문화과장2021-12-31
2201832018-03-122020-03-122025-03-11제주특별자치도 제주시 구좌읍 김녕리 497-4지하수 관정1김녕리새마을회2021-12-31
3201842018-02-072018-02-122048-02-28제주특별자치도 제주시 조천읍 신흥리 711-1조천지구 배수개선사업77제주시장(건설과장)2021-12-31
4201852018-03-122018-02-282028-02-27제주특별자치도 제주시 구좌읍 김녕리 하도리 497-4해수욕장 발 헹굼 시설 설치30구좌읍장2021-12-31
5201862018-03-232018-03-262023-03-25제주특별자치도 제주시 한림읍 수원리 수원항철탑등대 설치7제주해양수산관리단2021-12-31
6201872018-04-062018-04-092022-04-08제주특별자치도 제주시 우도면 연평리 290-9번지선소형어선 다목적 인양기 설치400제주시장(해양수산과장)2021-12-31
7201882018-04-052018-04-092023-04-08제주특별자치도 제주시 한립읍 협재리협재지구 연안정비사업996도 해양산업과장2021-12-31
8201892018-04-132018-04-142022-04-13제주특별자치도 제주시 구좌읍 평대리 4-21번지선육상양식장 배수관시설10개인2021-12-31
92018112019-03-202019-03-192019-10-31제주특별자치도 제주시 이호일동 1781-2번지선수상레저 계류장114개인2021-12-31
허가 번호 본번허가번호 부번허가년월일점용기간 개시일점용기간 종료일점용위치점용목적점용면적피허자데이터기준일자
2062020802020-11-182020-11-182035-11-17제주특별자치도 제주시 우도면 연평리 72번지선돌제 보강을 통한 항내 파고에 대한 안정화120제주시장(해양수산과장)2021-12-31
2072020812020-11-182020-11-182050-11-17제주특별자치도 제주시 조천읍 함덕리 함덕항일원해양관광 기반시설을 확충하고 배후 지역주민들의 삶의 질 향상 및 정주여건을 개선하기 위함9614제주시장(해양수산과장)2021-12-31
2082020822020-11-182020-11-182050-11-17제주특별자치도 제주시 한림읍 협재리 비양항일원해양관광 기반시설을 확충하고 배후 지역주민들의 삶의 질 향상 및 정주여건을 개선하기 위한2780제주시장(해양수산과장)2021-12-31
2092020832020-11-302020-11-302035-11-29제주특별자치도 제주시 추자면 신양리 977-5번지선(신양항)소규모 요트 계류시설인 어촌 마리나역 개발을 통하여 해양레저 활동의 안전성 제고와 어항 활성화 도모2414제주특별자치도지사(해운항만과장)2021-12-31
2102020842020-12-042020-12-042035-11-30제주특별자치도 제주시 애월읍 구엄리 1219-3번지선붕괴위험 요소가 있는 급경사지 위에 설치된 난간 이설을 통해 지역 주민 및 이용객들의 안전 확보31제주시장(안전총괄과장)2021-12-31
2112020852020-12-082020-12-082021-10-31제주특별자치도 제주시 조천읍 함덕리 3294번지선수중형 레저 활동을 위한 철제 계단 설치 및 운영7우리동네 잠수하는 형2021-12-31
2122020862020-12-172020-12-172035-11-30제주특별자치도 제주시 조천읍 신흥리 69-1번지선마을의 노후화된 용천수 공간 시설물을 정비활용함으로써 마을주민과 방문객들에게 쾌적하고 안락한 쉼터를 제공하고· 마을 내 탐방코스를 조성하여 마을 내 역사문화 자원을 방문객들에게 안내하고 관리함으로써 지속가능한 마을만들기 실현184제주시장(마을활력과장)2021-12-31
2132020872020-12-172020-12-172022-12-31제주특별자치도 제주시 우도면 연평리 산 2번지선인명피해 우려가 높은 연평지구 급경사지에 대하여 급경사지 상시 계측 시스템 구축 및 종합적인 관리를 통해 위험지역 주민의 안전과 재산보호3제주시장(안전총괄과장)2021-12-31
2142020882020-12-282020-12-282035-12-27제주특별자치도 제주시 우도면 연평리 2516번지선(홍조단괴해변)노면침수 및 해안침식에 따른 안전사고를 미연에 방지하기 위한 노후 배수관로 교체 설치383제주시장(상하수도과장)2021-12-31
2152020892020-12-282020-12-282050-12-27제주특별자치도 제주시 도두일동 2635-1번지선(도두항-국가어항)도두항 내 어선 접안시설 협소에 다른 호안 수제선 정비를 통해 국가어항(도두항) 이용객들에게 편의를 제고하고자 함633제주특별자치도지사(해운항만과장)2021-12-31