Overview

Dataset statistics

Number of variables11
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory97.9 B

Variable types

Numeric6
Categorical4
DateTime1

Dataset

Description지방세 금액 중 비과세·감면액이 차지하는 비율- 항목 : 세목별(재산세, 주민세, 취득세, 자동차세, 지역자원시설세 등) 비과세금액, 감면금액, 부과금액, 비과세감면율
Author인천광역시 옹진군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079403&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 과세년도High correlation
과세년도 is highly overall correlated with 연번High correlation
비과세금액 is highly overall correlated with 감면금액 and 2 other fieldsHigh correlation
감면금액 is highly overall correlated with 비과세금액 and 1 other fieldsHigh correlation
부과금액 is highly overall correlated with 비과세금액 and 1 other fieldsHigh correlation
비과세감면율 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 부과금액 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
비과세금액 has 10 (22.2%) zerosZeros
부과금액 has 3 (6.7%) zerosZeros
비과세감면율 has 9 (20.0%) zerosZeros

Reproduction

Analysis started2024-01-28 13:24:44.007819
Analysis finished2024-01-28 13:24:47.309739
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:47.371023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-01-28T22:24:47.477722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
인천광역시
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 45
100.0%

Length

2024-01-28T22:24:47.578835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:24:47.670753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 45
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
옹진군
45 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옹진군 45
100.0%

Length

2024-01-28T22:24:47.755129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:24:47.832303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옹진군 45
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
28720
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28720
2nd row28720
3rd row28720
4th row28720
5th row28720

Common Values

ValueCountFrequency (%)
28720 45
100.0%

Length

2024-01-28T22:24:47.909845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:24:47.990608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28720 45
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
교육세
6 
재산세
6 
주민세
6 
취득세
6 
자동차세
6 
Other values (3)
15 

Length

Max length7
Median length3
Mean length3.9333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육세
2nd row등록세
3rd row재산세
4th row주민세
5th row취득세

Common Values

ValueCountFrequency (%)
교육세 6
13.3%
재산세 6
13.3%
주민세 6
13.3%
취득세 6
13.3%
자동차세 6
13.3%
등록면허세 6
13.3%
지역자원시설세 6
13.3%
등록세 3
6.7%

Length

2024-01-28T22:24:48.098145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:24:48.215641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육세 6
13.3%
재산세 6
13.3%
주민세 6
13.3%
취득세 6
13.3%
자동차세 6
13.3%
등록면허세 6
13.3%
지역자원시설세 6
13.3%
등록세 3
6.7%

과세년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.4444
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:48.336894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7393253
Coefficient of variation (CV)0.00086128901
Kurtosis-1.3180328
Mean2019.4444
Median Absolute Deviation (MAD)2
Skewness0.029687631
Sum90875
Variance3.0252525
MonotonicityIncreasing
2024-01-28T22:24:48.454244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 8
17.8%
2018 8
17.8%
2021 8
17.8%
2019 7
15.6%
2020 7
15.6%
2022 7
15.6%
ValueCountFrequency (%)
2017 8
17.8%
2018 8
17.8%
2019 7
15.6%
2020 7
15.6%
2021 8
17.8%
2022 7
15.6%
ValueCountFrequency (%)
2022 7
15.6%
2021 8
17.8%
2020 7
15.6%
2019 7
15.6%
2018 8
17.8%
2017 8
17.8%

비과세금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4658507 × 108
Minimum0
Maximum2.272897 × 109
Zeros10
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:48.551325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12169000
median16106000
Q33.71218 × 108
95-th percentile1.719407 × 109
Maximum2.272897 × 109
Range2.272897 × 109
Interquartile range (IQR)3.69049 × 108

Descriptive statistics

Standard deviation6.2793593 × 108
Coefficient of variation (CV)1.8117801
Kurtosis2.2442518
Mean3.4658507 × 108
Median Absolute Deviation (MAD)16106000
Skewness1.8544862
Sum1.5596328 × 1010
Variance3.9430353 × 1017
MonotonicityNot monotonic
2024-01-28T22:24:48.663730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 10
 
22.2%
1567415000 1
 
2.2%
784853000 1
 
2.2%
27420000 1
 
2.2%
1937000 1
 
2.2%
89548000 1
 
2.2%
2044075000 1
 
2.2%
3350000 1
 
2.2%
449776000 1
 
2.2%
30805000 1
 
2.2%
Other values (26) 26
57.8%
ValueCountFrequency (%)
0 10
22.2%
1937000 1
 
2.2%
2169000 1
 
2.2%
2603000 1
 
2.2%
3350000 1
 
2.2%
3504000 1
 
2.2%
3519000 1
 
2.2%
5325000 1
 
2.2%
8825000 1
 
2.2%
8930000 1
 
2.2%
ValueCountFrequency (%)
2272897000 1
2.2%
2044075000 1
2.2%
1757405000 1
2.2%
1567415000 1
2.2%
1473885000 1
2.2%
1404890000 1
2.2%
1350818000 1
2.2%
784853000 1
2.2%
745356000 1
2.2%
550850000 1
2.2%

감면금액
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2599684 × 108
Minimum3000
Maximum9.89981 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:48.773514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile9000
Q111063000
median22980000
Q31.34808 × 108
95-th percentile6.148498 × 108
Maximum9.89981 × 108
Range9.89978 × 108
Interquartile range (IQR)1.23745 × 108

Descriptive statistics

Standard deviation2.2893879 × 108
Coefficient of variation (CV)1.81702
Kurtosis6.1315928
Mean1.2599684 × 108
Median Absolute Deviation (MAD)22971000
Skewness2.5367727
Sum5.669858 × 109
Variance5.241297 × 1016
MonotonicityNot monotonic
2024-01-28T22:24:48.886746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3000 2
 
4.4%
9000 2
 
4.4%
167685000 1
 
2.2%
871221000 1
 
2.2%
63915000 1
 
2.2%
26034000 1
 
2.2%
11497000 1
 
2.2%
3586000 1
 
2.2%
197093000 1
 
2.2%
16890000 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
3000 2
4.4%
9000 2
4.4%
13000 1
2.2%
26000 1
2.2%
31000 1
2.2%
3066000 1
2.2%
3586000 1
2.2%
5410000 1
2.2%
5456000 1
2.2%
11063000 1
2.2%
ValueCountFrequency (%)
989981000 1
2.2%
871221000 1
2.2%
633922000 1
2.2%
538561000 1
2.2%
472442000 1
2.2%
395396000 1
2.2%
197093000 1
2.2%
191875000 1
2.2%
167685000 1
2.2%
156401000 1
2.2%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0052522 × 109
Minimum0
Maximum1.3184667 × 1010
Zeros3
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:48.996190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.445848 × 108
Q19.44541 × 108
median3.596618 × 109
Q39.1063 × 109
95-th percentile1.2538851 × 1010
Maximum1.3184667 × 1010
Range1.3184667 × 1010
Interquartile range (IQR)8.161759 × 109

Descriptive statistics

Standard deviation4.3215858 × 109
Coefficient of variation (CV)0.86341019
Kurtosis-1.2551288
Mean5.0052522 × 109
Median Absolute Deviation (MAD)2.815591 × 109
Skewness0.50737085
Sum2.2523635 × 1011
Variance1.8676103 × 1019
MonotonicityNot monotonic
2024-01-28T22:24:49.114707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 3
 
6.7%
3596618000 1
 
2.2%
944541000 1
 
2.2%
9684076000 1
 
2.2%
2567060000 1
 
2.2%
815359000 1
 
2.2%
11176478000 1
 
2.2%
4130151000 1
 
2.2%
8144142000 1
 
2.2%
979017000 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
0 3
6.7%
722924000 1
 
2.2%
781027000 1
 
2.2%
815359000 1
 
2.2%
854391000 1
 
2.2%
895199000 1
 
2.2%
896514000 1
 
2.2%
935169000 1
 
2.2%
939983000 1
 
2.2%
944541000 1
 
2.2%
ValueCountFrequency (%)
13184667000 1
2.2%
13001296000 1
2.2%
12594705000 1
2.2%
12315435000 1
2.2%
11193895000 1
2.2%
11176478000 1
2.2%
9785412000 1
2.2%
9684076000 1
2.2%
9640833000 1
2.2%
9404818000 1
2.2%

비과세감면율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5097778
Minimum0
Maximum28.21
Zeros9
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-01-28T22:24:49.219220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.72
median3.04
Q39.81
95-th percentile25.292
Maximum28.21
Range28.21
Interquartile range (IQR)9.09

Descriptive statistics

Standard deviation8.3982746
Coefficient of variation (CV)1.2901016
Kurtosis0.86012362
Mean6.5097778
Median Absolute Deviation (MAD)2.46
Skewness1.4536425
Sum292.94
Variance70.531016
MonotonicityNot monotonic
2024-01-28T22:24:49.330648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 9
 
20.0%
2.07 2
 
4.4%
21.42 1
 
2.2%
17.1 1
 
2.2%
3.56 1
 
2.2%
3.43 1
 
2.2%
0.9 1
 
2.2%
27.52 1
 
2.2%
10.92 1
 
2.2%
4.03 1
 
2.2%
Other values (26) 26
57.8%
ValueCountFrequency (%)
0.0 9
20.0%
0.58 1
 
2.2%
0.64 1
 
2.2%
0.72 1
 
2.2%
0.9 1
 
2.2%
1.41 1
 
2.2%
1.6 1
 
2.2%
1.62 1
 
2.2%
1.63 1
 
2.2%
1.92 1
 
2.2%
ValueCountFrequency (%)
28.21 1
2.2%
27.52 1
2.2%
26.26 1
2.2%
21.42 1
2.2%
20.98 1
2.2%
20.75 1
2.2%
20.24 1
2.2%
17.1 1
2.2%
11.47 1
2.2%
11.24 1
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-08-31 00:00:00
Maximum2023-08-31 00:00:00
2024-01-28T22:24:49.413798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:49.484042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T22:24:46.634659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.280097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.667342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.367921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.794083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.204453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.709599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.337105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.731080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.434621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.857397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.268494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.799951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.405004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.794984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.504019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.921816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.346439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.867333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.471242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.862221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.570891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.986538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.410739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.931925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.535151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.217827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.641784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.056618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.482884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:47.010405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:44.605285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.297094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:45.726397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.135948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:24:46.558024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:24:49.542388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세목명과세년도비과세금액감면금액부과금액비과세감면율
연번1.0000.0000.9190.0000.0000.0000.000
세목명0.0001.0000.0000.6180.7620.8780.754
과세년도0.9190.0001.0000.0000.0000.0000.000
비과세금액0.0000.6180.0001.0000.9260.7930.883
감면금액0.0000.7620.0000.9261.0000.6680.901
부과금액0.0000.8780.0000.7930.6681.0000.816
비과세감면율0.0000.7540.0000.8830.9010.8161.000
2024-01-28T22:24:49.641376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번과세년도비과세금액감면금액부과금액비과세감면율세목명
연번1.0000.9860.0820.1500.1460.1020.000
과세년도0.9861.0000.0320.1160.1190.0800.000
비과세금액0.0820.0321.0000.7790.6700.7990.351
감면금액0.1500.1160.7791.0000.3330.9520.355
부과금액0.1460.1190.6700.3331.0000.2550.672
비과세감면율0.1020.0800.7990.9520.2551.0000.523
세목명0.0000.0000.3510.3550.6720.5231.000

Missing values

2024-01-28T22:24:47.119434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:24:47.254442image/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

연번시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율데이터기준일자
01인천광역시옹진군28720교육세20170300035966180000.02023-08-31
12인천광역시옹진군28720등록세20170306600000.02023-08-31
23인천광역시옹진군28720재산세20171350818000134808000734033200020.242023-08-31
34인천광역시옹진군28720주민세2017915000054560008965140001.632023-08-31
45인천광역시옹진군28720취득세201755085000039539600096408330009.812023-08-31
56인천광역시옹진군28720자동차세2017159510007420600021245510004.242023-08-31
67인천광역시옹진군28720등록면허세20173504000229800007229240003.662023-08-31
78인천광역시옹진군28720지역자원시설세20176479400011063000130012960000.582023-08-31
89인천광역시옹진군28720교육세20180300035936390000.02023-08-31
910인천광역시옹진군28720등록세201803100000.02023-08-31
연번시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율데이터기준일자
3536인천광역시옹진군28720자동차세2021308050006255600023177290004.032023-08-31
3637인천광역시옹진군28720등록면허세20212169000264220009399830003.042023-08-31
3738인천광역시옹진군28720지역자원시설세20211459260001277300097854120001.622023-08-31
3839인천광역시옹진군28720교육세202202600039904700000.02023-08-31
3940인천광역시옹진군28720재산세20222272897000191875000873716900028.212023-08-31
4041인천광역시옹진군28720주민세202201410400010006120001.412023-08-31
4142인천광역시옹진군28720취득세20227453560005385610001119389500011.472023-08-31
4243인천광역시옹진군28720자동차세2022280490005726900023094990003.692023-08-31
4344인천광역시옹진군28720등록면허세20222603000135470007810270002.072023-08-31
4445인천광역시옹진군28720지역자원시설세20221769350001389600092442600002.062023-08-31