Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory88.7 B

Variable types

Numeric3
Text3
Categorical2
DateTime2

Dataset

Description독도 등 도서지역의 생태계 보전에 관한 특별법에 따라 관리되고 있는 옹진군 관내 특정도서 지정현황입니다. 도서명, 지정자유 면적 등 7개 항목에 대하여 정보를 제공합니다.
Author인천광역시 옹진군
URLhttps://www.data.go.kr/data/15122101/fileData.do

Alerts

행정구역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 지정번호High correlation
지정번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 지정차수High correlation
지정차수 is highly overall correlated with 지정번호 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
지정번호 has unique valuesUnique
도서명 has unique valuesUnique
지번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:23:17.888968
Analysis finished2023-12-12 10:23:19.400231
Duration1.51 second
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 size339.0 B
2023-12-12T19:23:19.479569image/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
2023-12-12T19:23:19.648360image/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%

지정번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.608696
Minimum10
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:23:19.819023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.1
Q115.5
median21
Q381.5
95-th percentile226.9
Maximum233
Range223
Interquartile range (IQR)66

Descriptive statistics

Standard deviation88.962576
Coefficient of variation (CV)1.2966662
Kurtosis-0.31516607
Mean68.608696
Median Absolute Deviation (MAD)6
Skewness1.268967
Sum1578
Variance7914.3399
MonotonicityStrictly increasing
2023-12-12T19:23:19.962685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 1
 
4.3%
11 1
 
4.3%
233 1
 
4.3%
227 1
 
4.3%
226 1
 
4.3%
225 1
 
4.3%
224 1
 
4.3%
137 1
 
4.3%
26 1
 
4.3%
25 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
10 1
4.3%
11 1
4.3%
12 1
4.3%
13 1
4.3%
14 1
4.3%
15 1
4.3%
16 1
4.3%
17 1
4.3%
18 1
4.3%
19 1
4.3%
ValueCountFrequency (%)
233 1
4.3%
227 1
4.3%
226 1
4.3%
225 1
4.3%
224 1
4.3%
137 1
4.3%
26 1
4.3%
25 1
4.3%
24 1
4.3%
23 1
4.3%

도서명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:23:20.216800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.4347826
Min length2

Characters and Unicode

Total characters102
Distinct characters45
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 row신도(우도쪽 아래)
2nd row어평도(섬업벌)
3rd row뭉퉁도
4th row소초지도
5th row할미염(고도)
ValueCountFrequency (%)
신도(우도쪽 1
 
4.2%
아래 1
 
4.2%
서각흘도 1
 
4.2%
소낭각흘도 1
 
4.2%
낭각흘도 1
 
4.2%
대가덕도 1
 
4.2%
서만도 1
 
4.2%
멍애섬 1
 
4.2%
하바지섬 1
 
4.2%
중바지섬 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T19:23:20.682625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 19
18.6%
흘 7
 
6.9%
각 7
 
6.9%
섬 7
 
6.9%
지 5
 
4.9%
) 4
 
3.9%
( 4
 
3.9%
통 3
 
2.9%
바 3
 
2.9%
소 3
 
2.9%
Other values (35) 40
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
90.2%
Close Punctuation 4
 
3.9%
Open Punctuation 4
 
3.9%
Space Separator 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 19
20.7%
흘 7
 
7.6%
각 7
 
7.6%
섬 7
 
7.6%
지 5
 
5.4%
통 3
 
3.3%
바 3
 
3.3%
소 3
 
3.3%
중 2
 
2.2%
낭 2
 
2.2%
Other values (32) 34
37.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
90.2%
Common 10
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 19
20.7%
흘 7
 
7.6%
각 7
 
7.6%
섬 7
 
7.6%
지 5
 
5.4%
통 3
 
3.3%
바 3
 
3.3%
소 3
 
3.3%
중 2
 
2.2%
낭 2
 
2.2%
Other values (32) 34
37.0%
Common
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
90.2%
ASCII 10
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 19
20.7%
흘 7
 
7.6%
각 7
 
7.6%
섬 7
 
7.6%
지 5
 
5.4%
통 3
 
3.3%
바 3
 
3.3%
소 3
 
3.3%
중 2
 
2.2%
낭 2
 
2.2%
Other values (32) 34
37.0%
ASCII
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
2
20.0%

지정사유
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:23:21.004992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length42
Mean length35.913043
Min length10

Characters and Unicode

Total characters826
Distinct characters126
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

Unique16 ?
Unique (%)69.6%

Sample

1st row멸종위기생물 매 서식 / 멸종위기생물 노랑부리백로 집단번식지
2nd row멸종위기생물 노랑부리백로 서식 / 관목형 혼합 활엽수림의 자연성 우수
3rd row멸종위기생물 물수리 번식지 / 괭이 갈매기 번식지
4th row식생 보존상태 우수
5th row멸종위기생물 노랑부리백로 서식하고, 가마우지 집단 서식
ValueCountFrequency (%)
우수 17
 
8.7%
12
 
6.1%
멸종위기생물 10
 
5.1%
서식 8
 
4.1%
관목형 7
 
3.6%
혼합 7
 
3.6%
및 7
 
3.6%
자연성이 7
 
3.6%
노랑부리백로 7
 
3.6%
등 5
 
2.6%
Other values (72) 109
55.6%
2023-12-12T19:23:21.561517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
20.9%
식 32
 
3.9%
수 28
 
3.4%
지 25
 
3.0%
우 21
 
2.5%
, 20
 
2.4%
이 19
 
2.3%
기 18
 
2.2%
생 16
 
1.9%
물 16
 
1.9%
Other values (116) 458
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
74.8%
Space Separator 173
 
20.9%
Other Punctuation 33
 
4.0%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 32
 
5.2%
수 28
 
4.5%
지 25
 
4.0%
우 21
 
3.4%
이 19
 
3.1%
기 18
 
2.9%
생 16
 
2.6%
물 16
 
2.6%
종 15
 
2.4%
자 14
 
2.3%
Other values (111) 414
67.0%
Other Punctuation
ValueCountFrequency (%)
, 20
60.6%
/ 13
39.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
74.8%
Common 208
 
25.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 32
 
5.2%
수 28
 
4.5%
지 25
 
4.0%
우 21
 
3.4%
이 19
 
3.1%
기 18
 
2.9%
생 16
 
2.6%
물 16
 
2.6%
종 15
 
2.4%
자 14
 
2.3%
Other values (111) 414
67.0%
Common
ValueCountFrequency (%)
173
83.2%
, 20
 
9.6%
/ 13
 
6.2%
2 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
74.8%
ASCII 208
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
83.2%
, 20
 
9.6%
/ 13
 
6.2%
2 1
 
0.5%
1 1
 
0.5%
Hangul
ValueCountFrequency (%)
식 32
 
5.2%
수 28
 
4.5%
지 25
 
4.0%
우 21
 
3.4%
이 19
 
3.1%
기 18
 
2.9%
생 16
 
2.6%
물 16
 
2.6%
종 15
 
2.4%
자 14
 
2.3%
Other values (111) 414
67.0%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60692.783
Minimum458
Maximum382314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:23:21.768994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458
5-th percentile1165.1
Q14810
median19041
Q347404.5
95-th percentile336872.2
Maximum382314
Range381856
Interquartile range (IQR)42594.5

Descriptive statistics

Standard deviation105232.32
Coefficient of variation (CV)1.7338523
Kurtosis5.6518812
Mean60692.783
Median Absolute Deviation (MAD)15418
Skewness2.4913336
Sum1395934
Variance1.1073842 × 1010
MonotonicityNot monotonic
2023-12-12T19:23:21.915003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4661 2
 
8.7%
29951 1
 
4.3%
50082 1
 
4.3%
892 1
 
4.3%
19041 1
 
4.3%
44727 1
 
4.3%
120595 1
 
4.3%
91835 1
 
4.3%
36397 1
 
4.3%
29653 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
458 1
4.3%
892 1
4.3%
3623 1
4.3%
4562 1
4.3%
4661 2
8.7%
4959 1
4.3%
5112 1
4.3%
5454 1
4.3%
7438 1
4.3%
9223 1
4.3%
ValueCountFrequency (%)
382314 1
4.3%
358016 1
4.3%
146578 1
4.3%
120595 1
4.3%
91835 1
4.3%
50082 1
4.3%
44727 1
4.3%
36397 1
4.3%
35702 1
4.3%
29951 1
4.3%

지번
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:23:22.157337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length21.043478
Min length17

Characters and Unicode

Total characters484
Distinct characters42
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 row인천 옹진군 북도면 장봉리 산297
2nd row인천 옹진군 영흥면 외리 산259, 산260
3rd row인천 옹진군 자월면 자월리 1579, 산368, 산369
4th row인천 옹진군 자월면 자월리 산331
5th row인천 옹진군 자월면 자월리1580
ValueCountFrequency (%)
인천 23
18.9%
옹진군 22
18.0%
덕적면 15
 
12.3%
서포리 7
 
5.7%
백아리 5
 
4.1%
자월면 3
 
2.5%
울도리 3
 
2.5%
북도면 2
 
1.6%
장봉리 2
 
1.6%
자월리 2
 
1.6%
Other values (38) 38
31.1%
2023-12-12T19:23:22.608901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
20.5%
산 29
 
6.0%
인 23
 
4.8%
리 23
 
4.8%
옹 23
 
4.8%
진 23
 
4.8%
군 23
 
4.8%
면 23
 
4.8%
천 23
 
4.8%
1 19
 
3.9%
Other values (32) 176
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
58.1%
Space Separator 99
 
20.5%
Decimal Number 93
 
19.2%
Other Punctuation 6
 
1.2%
Math Symbol 4
 
0.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 29
10.3%
인 23
 
8.2%
리 23
 
8.2%
옹 23
 
8.2%
진 23
 
8.2%
군 23
 
8.2%
면 23
 
8.2%
천 23
 
8.2%
덕 15
 
5.3%
적 15
 
5.3%
Other values (18) 61
21.7%
Decimal Number
ValueCountFrequency (%)
1 19
20.4%
4 12
12.9%
9 11
11.8%
8 9
9.7%
3 9
9.7%
7 8
8.6%
5 8
8.6%
6 7
 
7.5%
2 6
 
6.5%
0 4
 
4.3%
Space Separator
ValueCountFrequency (%)
99
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
58.1%
Common 203
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 29
10.3%
인 23
 
8.2%
리 23
 
8.2%
옹 23
 
8.2%
진 23
 
8.2%
군 23
 
8.2%
면 23
 
8.2%
천 23
 
8.2%
덕 15
 
5.3%
적 15
 
5.3%
Other values (18) 61
21.7%
Common
ValueCountFrequency (%)
99
48.8%
1 19
 
9.4%
4 12
 
5.9%
9 11
 
5.4%
8 9
 
4.4%
3 9
 
4.4%
7 8
 
3.9%
5 8
 
3.9%
6 7
 
3.4%
, 6
 
3.0%
Other values (4) 15
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
58.1%
ASCII 203
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
48.8%
1 19
 
9.4%
4 12
 
5.9%
9 11
 
5.4%
8 9
 
4.4%
3 9
 
4.4%
7 8
 
3.9%
5 8
 
3.9%
6 7
 
3.4%
, 6
 
3.0%
Other values (4) 15
 
7.4%
Hangul
ValueCountFrequency (%)
산 29
10.3%
인 23
 
8.2%
리 23
 
8.2%
옹 23
 
8.2%
진 23
 
8.2%
군 23
 
8.2%
면 23
 
8.2%
천 23
 
8.2%
덕 15
 
5.3%
적 15
 
5.3%
Other values (18) 61
21.7%

행정구역
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
인천
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천 23
100.0%

Length

2023-12-12T19:23:22.768471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:23:22.890725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천 23
100.0%

지정년도
Date

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2000-09-05 00:00:00
Maximum2016-12-22 00:00:00
2023-12-12T19:23:22.965183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:23.110479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

지정차수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
1차
17 
14차
4 
4차
 
1
15차
 
1

Length

Max length3
Median length2
Mean length2.2173913
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row1차
2nd row1차
3rd row1차
4th row1차
5th row1차

Common Values

ValueCountFrequency (%)
1차 17
73.9%
14차 4
 
17.4%
4차 1
 
4.3%
15차 1
 
4.3%

Length

2023-12-12T19:23:23.265806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:23:23.416673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차 17
73.9%
14차 4
 
17.4%
4차 1
 
4.3%
15차 1
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T19:23:23.536475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:23.674165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:23:18.795654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.285253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.544222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.893434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.359021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.619460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.986387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.441959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:23:18.691378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:23:23.756727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호도서명지정사유면적(제곱미터)지번지정년도지정차수
연번1.0000.8401.0000.8290.1401.0000.7020.702
지정번호0.8401.0001.0001.0000.7861.0001.0001.000
도서명1.0001.0001.0001.0001.0001.0001.0001.000
지정사유0.8291.0001.0001.0000.9411.0001.0001.000
면적(제곱미터)0.1400.7861.0000.9411.0001.0000.7360.736
지번1.0001.0001.0001.0001.0001.0001.0001.000
지정년도0.7021.0001.0001.0000.7361.0001.0001.000
지정차수0.7021.0001.0001.0000.7361.0001.0001.000
2023-12-12T19:23:23.884784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호면적(제곱미터)지정차수
연번1.0001.0000.1900.398
지정번호1.0001.0000.1900.975
면적(제곱미터)0.1900.1901.0000.662
지정차수0.3980.9750.6621.000

Missing values

2023-12-12T19:23:19.151976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:23:19.337380image/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

연번지정번호도서명지정사유면적(제곱미터)지번행정구역지정년도지정차수데이터기준일자
0110신도(우도쪽 아래)멸종위기생물 매 서식 / 멸종위기생물 노랑부리백로 집단번식지3623인천 옹진군 북도면 장봉리 산297인천2000-09-051차2023-08-31
1211어평도(섬업벌)멸종위기생물 노랑부리백로 서식 / 관목형 혼합 활엽수림의 자연성 우수146578인천 옹진군 영흥면 외리 산259, 산260인천2000-09-051차2023-08-31
2312뭉퉁도멸종위기생물 물수리 번식지 / 괭이 갈매기 번식지5112인천 옹진군 자월면 자월리 1579, 산368, 산369인천2000-09-051차2023-08-31
3413소초지도식생 보존상태 우수35702인천 옹진군 자월면 자월리 산331인천2000-09-051차2023-08-31
4514할미염(고도)멸종위기생물 노랑부리백로 서식하고, 가마우지 집단 서식458인천 옹진군 자월면 자월리1580인천2000-09-051차2023-08-31
5615항도(목섬)멸종위기생물 노랑부리백로 서식하고, 가마우지 집단 서식5454인천 옹진군영흥면 선재리 산113인천2000-09-051차2023-08-31
6716각흘도멸종위기생물 노랑부리백로 서식하고, 가마우지 집단 서식382314인천 옹진군 덕적면 서포리 산451인천2000-09-051차2023-08-31
7817통각흘도식생이 비교적 잘 보존, 해양생물 다양하고 풍부9223인천 옹진군 덕적면 서포리 산493, 산494인천2000-09-051차2023-08-31
8918소통각흘도자연경관 우수, 희귀남방계 식물다양 / 멸종위기생물 매 번식지 /관목형 혼합 활엽수림의 자연성 우수4959인천 옹진군 덕적면 서포리 산489~491인천2000-09-051차2023-08-31
91019중통각흘도멸종위기생물 노랑부리백로 서식 / 식생의 자연성이 우수4562인천 옹진군 덕적면 서포리 산492인천2000-09-051차2023-08-31
연번지정번호도서명지정사유면적(제곱미터)지번행정구역지정년도지정차수데이터기준일자
131423상바지섬관목형 혼합 활엽수림 및 초지의 자연성이 우수7438인천 옹진군 덕적면 울도리 산1인천2000-09-051차2023-08-31
141524중바지섬관목형 혼합 활엽수림 및 초지의 자연성이 우수4661인천 옹진군 덕적면 울도리 산2인천2000-09-051차2023-08-31
151625하바지섬관목형 혼합활엽수림의 자연성 우수29653인천 옹진군 덕적면 울도리 산3인천2000-09-051차2023-08-31
161726멍애섬관목형 혼합 활엽수림 및 초지의 자연성이 우수36397인천 옹진군 덕적면 백아리 산169인천2000-09-051차2023-08-31
1718137서만도노치, 해식동 등 특이지형 발달 / 멸종위기종 노랑부리백로 서식91835인천 옹진군 북도면 장봉리 산268인천2003-07-184차2023-08-31
1819224대가덕도다양한 화강암 풍화지형 및 탁월한 해식애, 대규모 해식동 등 지형경관이 우수 / 특정식물종 산마늘 생육하는 등 자연생태가 우수하고 다양한 조류의 중간기착지120595인천 옹진군 덕적면 백아리 산181인천2015-12-2414차2023-08-31
1920225낭각흘도절리면을 따라 해식애가 발달하고 지형적 자연성이 우수 / 괭이갈매기 집단번식지44727인천 옹진군 덕적면 서포리 산449인천2015-12-2414차2023-08-31
2021226소낭각흘도해식애, 해식대, 대규모 해식동 등 지형경관이 우수 / 괭이갈매기 집단번식지19041인천 옹진군 덕적면 서포리 산450인천2015-12-2414차2023-08-31
2122227서각흘도풍광이 뛰어나며, 지형경관이 우수 / 괭이갈매기, 한국재갈매기의 집단번식지892인천 옹진군 덕적면 서포리 산485~산487인천2015-12-2414차2023-08-31
2223233구지도멸종위기종 1급 저어새,노랑부리백로, 2급인 검은머리물떼새가 서식하며, 저어새의 국내 최대 번식지 / 시스택, 육계사주, 자갈 및 모래해빈 등 지형경관이 우수50082인천 옹진군 연평면 연평리 산18-1~3인천2016-12-2215차2023-08-31