Overview

Dataset statistics

Number of variables11
Number of observations32
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory99.1 B

Variable types

Numeric5
Categorical6

Dataset

Description3개년도(2020~2022) 강원도 동해시 지방세 비과/감면율 현황에 대한 데이터로 지방세 금액 중 비과세·감면액이 차지하는 비율을 제공합니다.
URLhttps://www.data.go.kr/data/15079795/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일 has constant value ""Constant
과세년도 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
자치단체코드 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 자치단체코드 and 1 other fieldsHigh correlation
비과세금액(원) is highly overall correlated with 감면금액(원) and 2 other fieldsHigh correlation
감면금액(원) is highly overall correlated with 비과세금액(원) and 2 other fieldsHigh correlation
부과금액(원) is highly overall correlated with 비과세금액(원) and 2 other fieldsHigh correlation
비과세감면율(퍼센트) is highly overall correlated with 비과세금액(원) and 1 other fieldsHigh correlation
세목명 is highly overall correlated with 부과금액(원)High correlation
비과세금액(원) has 1 (3.1%) missing valuesMissing
순번 has unique valuesUnique
비과세금액(원) has 12 (37.5%) zerosZeros
감면금액(원) has 12 (37.5%) zerosZeros
부과금액(원) has 7 (21.9%) zerosZeros
비과세감면율(퍼센트) has 14 (43.8%) zerosZeros

Reproduction

Analysis started2023-12-12 20:14:39.642343
Analysis finished2023-12-12 20:14:42.858663
Duration3.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:14:42.931696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-13T05:14:43.088297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
강원특별자치도
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 32
100.0%

Length

2023-12-13T05:14:43.469557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:43.632680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 32
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
동해시
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동해시 32
100.0%

Length

2023-12-13T05:14:43.759712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:43.867529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동해시 32
100.0%

자치단체코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
42170
24 
51170
8 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row42170
2nd row42170
3rd row42170
4th row42170
5th row42170

Common Values

ValueCountFrequency (%)
42170 24
75.0%
51170 8
 
25.0%

Length

2023-12-13T05:14:44.000391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:44.126733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42170 24
75.0%
51170 8
 
25.0%

세목명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
취득세
3 
등록면허세
3 
지역자원시설세
3 
주민세
3 
재산세
3 
Other values (9)
17 

Length

Max length7
Median length5
Mean length4.15625
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row취득세
2nd row등록면허세
3rd row레저세
4th row지역자원시설세
5th row주민세

Common Values

ValueCountFrequency (%)
취득세 3
9.4%
등록면허세 3
9.4%
지역자원시설세 3
9.4%
주민세 3
9.4%
재산세 3
9.4%
자동차세 3
9.4%
레저세 2
 
6.2%
지방소득세 2
 
6.2%
담배소비세 2
 
6.2%
도축세 2
 
6.2%
Other values (4) 6
18.8%

Length

2023-12-13T05:14:44.282215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 3
9.4%
등록면허세 3
9.4%
지역자원시설세 3
9.4%
주민세 3
9.4%
재산세 3
9.4%
자동차세 3
9.4%
레저세 2
 
6.2%
지방소득세 2
 
6.2%
담배소비세 2
 
6.2%
도축세 2
 
6.2%
Other values (4) 6
18.8%

과세년도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2020
12 
2021
12 
2022
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 12
37.5%
2021 12
37.5%
2022 8
25.0%

Length

2023-12-13T05:14:44.441479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:44.576391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 12
37.5%
2021 12
37.5%
2022 8
25.0%

비과세금액(원)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct20
Distinct (%)64.5%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean7.9146406 × 108
Minimum0
Maximum7.840227 × 109
Zeros12
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:14:44.712890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10634000
Q32.52898 × 108
95-th percentile5.247014 × 109
Maximum7.840227 × 109
Range7.840227 × 109
Interquartile range (IQR)2.52898 × 108

Descriptive statistics

Standard deviation1.9052193 × 109
Coefficient of variation (CV)2.4072089
Kurtosis8.2472483
Mean7.9146406 × 108
Median Absolute Deviation (MAD)10634000
Skewness2.9425127
Sum2.4535386 × 1010
Variance3.6298607 × 1018
MonotonicityNot monotonic
2023-12-13T05:14:44.854930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
37.5%
1733493000 1
 
3.1%
1226028000 1
 
3.1%
275074000 1
 
3.1%
13725000 1
 
3.1%
100127000 1
 
3.1%
1686445000 1
 
3.1%
3800000 1
 
3.1%
7840227000 1
 
3.1%
3000 1
 
3.1%
Other values (10) 10
31.2%
ValueCountFrequency (%)
0 12
37.5%
3000 1
 
3.1%
3800000 1
 
3.1%
4000000 1
 
3.1%
10634000 1
 
3.1%
13725000 1
 
3.1%
23273000 1
 
3.1%
41933000 1
 
3.1%
96343000 1
 
3.1%
100127000 1
 
3.1%
ValueCountFrequency (%)
7840227000 1
3.1%
6651934000 1
3.1%
3842094000 1
3.1%
1733493000 1
3.1%
1686445000 1
3.1%
1226028000 1
3.1%
531282000 1
3.1%
275074000 1
3.1%
230722000 1
3.1%
224249000 1
3.1%

감면금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.122675 × 108
Minimum0
Maximum7.166185 × 109
Zeros12
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:14:45.022914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8977500
Q33.145815 × 108
95-th percentile3.4309973 × 109
Maximum7.166185 × 109
Range7.166185 × 109
Interquartile range (IQR)3.145815 × 108

Descriptive statistics

Standard deviation1.5025298 × 109
Coefficient of variation (CV)2.4540414
Kurtosis12.263775
Mean6.122675 × 108
Median Absolute Deviation (MAD)8977500
Skewness3.3742726
Sum1.959256 × 1010
Variance2.2575957 × 1018
MonotonicityNot monotonic
2023-12-13T05:14:45.212877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
37.5%
2858344000 1
 
3.1%
100524000 1
 
3.1%
40052000 1
 
3.1%
11095000 1
 
3.1%
503389000 1
 
3.1%
4130907000 1
 
3.1%
237711000 1
 
3.1%
1086693000 1
 
3.1%
58000 1
 
3.1%
Other values (11) 11
34.4%
ValueCountFrequency (%)
0 12
37.5%
1000 1
 
3.1%
11000 1
 
3.1%
58000 1
 
3.1%
6860000 1
 
3.1%
11095000 1
 
3.1%
13113000 1
 
3.1%
36579000 1
 
3.1%
40052000 1
 
3.1%
41752000 1
 
3.1%
ValueCountFrequency (%)
7166185000 1
3.1%
4130907000 1
3.1%
2858344000 1
3.1%
1600304000 1
3.1%
1086693000 1
3.1%
1005370000 1
3.1%
503389000 1
3.1%
501255000 1
3.1%
252357000 1
3.1%
237711000 1
3.1%

부과금액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0275728 × 109
Minimum0
Maximum3.2875856 × 1010
Zeros7
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:14:45.408539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.812448 × 109
median6.581977 × 109
Q31.2034522 × 1010
95-th percentile2.3898366 × 1010
Maximum3.2875856 × 1010
Range3.2875856 × 1010
Interquartile range (IQR)1.0222074 × 1010

Descriptive statistics

Standard deviation8.1027213 × 109
Coefficient of variation (CV)1.0093613
Kurtosis1.919868
Mean8.0275728 × 109
Median Absolute Deviation (MAD)5.0389415 × 109
Skewness1.3337958
Sum2.5688233 × 1011
Variance6.5654093 × 1019
MonotonicityNot monotonic
2023-12-13T05:14:45.618797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7
21.9%
32875856000 1
 
3.1%
14467819000 1
 
3.1%
5333382000 1
 
3.1%
1628647000 1
 
3.1%
13078261000 1
 
3.1%
21801038000 1
 
3.1%
2655298000 1
 
3.1%
11706530000 1
 
3.1%
8482090000 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
0 7
21.9%
1628647000 1
 
3.1%
1873715000 1
 
3.1%
2208523000 1
 
3.1%
2526580000 1
 
3.1%
2655298000 1
 
3.1%
2657224000 1
 
3.1%
5333382000 1
 
3.1%
5582290000 1
 
3.1%
5665973000 1
 
3.1%
ValueCountFrequency (%)
32875856000 1
3.1%
26461768000 1
3.1%
21801038000 1
3.1%
14836708000 1
3.1%
14655768000 1
3.1%
14467819000 1
3.1%
13078261000 1
3.1%
13018499000 1
3.1%
11706530000 1
3.1%
11178038000 1
3.1%

비과세감면율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.471562
Minimum0
Maximum76.26
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:14:45.798831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.525
Q36.7075
95-th percentile71.776
Maximum76.26
Range76.26
Interquartile range (IQR)6.7075

Descriptive statistics

Standard deviation21.546348
Coefficient of variation (CV)2.0576058
Kurtosis5.505316
Mean10.471562
Median Absolute Deviation (MAD)1.525
Skewness2.5589621
Sum335.09
Variance464.24509
MonotonicityNot monotonic
2023-12-13T05:14:45.977111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 14
43.8%
13.97 1
 
3.1%
75.78 1
 
3.1%
5.91 1
 
3.1%
1.52 1
 
3.1%
4.61 1
 
3.1%
26.68 1
 
3.1%
9.1 1
 
3.1%
76.26 1
 
3.1%
4.26 1
 
3.1%
Other values (9) 9
28.1%
ValueCountFrequency (%)
0.0 14
43.8%
0.79 1
 
3.1%
1.52 1
 
3.1%
1.53 1
 
3.1%
1.94 1
 
3.1%
4.26 1
 
3.1%
4.59 1
 
3.1%
4.61 1
 
3.1%
4.69 1
 
3.1%
5.27 1
 
3.1%
ValueCountFrequency (%)
76.26 1
3.1%
75.78 1
3.1%
68.5 1
3.1%
26.68 1
3.1%
20.56 1
3.1%
13.97 1
3.1%
9.13 1
3.1%
9.1 1
3.1%
5.91 1
3.1%
5.27 1
3.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-07-04
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-04
2nd row2023-07-04
3rd row2023-07-04
4th row2023-07-04
5th row2023-07-04

Common Values

ValueCountFrequency (%)
2023-07-04 32
100.0%

Length

2023-12-13T05:14:46.531074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:46.655033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-04 32
100.0%

Interactions

2023-12-13T05:14:42.032842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:39.985758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.463094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.010950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.540812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:42.129681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.074546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.553131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.119254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.626133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:42.248130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.167688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.673272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.221582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.737270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:42.369135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.259692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.780642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.331666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.823232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:42.471701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.357728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:40.897063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.439447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:41.907213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:14:46.736255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번자치단체코드세목명과세년도비과세금액(원)감면금액(원)부과금액(원)비과세감면율(퍼센트)
순번1.0000.9920.0000.9310.3580.0000.0000.000
자치단체코드0.9921.0000.0001.0000.1390.0000.0000.000
세목명0.0000.0001.0000.0000.2850.0000.8840.441
과세년도0.9311.0000.0001.0000.0000.0000.0000.000
비과세금액(원)0.3580.1390.2850.0001.0000.9930.7980.986
감면금액(원)0.0000.0000.0000.0000.9931.0000.9090.984
부과금액(원)0.0000.0000.8840.0000.7980.9091.0000.848
비과세감면율(퍼센트)0.0000.0000.4410.0000.9860.9840.8481.000
2023-12-13T05:14:46.878814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명자치단체코드
과세년도1.0000.0000.983
세목명0.0001.0000.000
자치단체코드0.9830.0001.000
2023-12-13T05:14:46.995741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번비과세금액(원)감면금액(원)부과금액(원)비과세감면율(퍼센트)자치단체코드세목명과세년도
순번1.0000.0940.107-0.0240.1030.7860.0000.791
비과세금액(원)0.0941.0000.8610.5330.9480.0550.0000.000
감면금액(원)0.1070.8611.0000.5720.8730.0000.0000.000
부과금액(원)-0.0240.5330.5721.0000.4780.0000.5620.000
비과세감면율(퍼센트)0.1030.9480.8730.4781.0000.0000.1530.000
자치단체코드0.7860.0550.0000.0000.0001.0000.0000.983
세목명0.0000.0000.0000.5620.1530.0001.0000.000
과세년도0.7910.0000.0000.0000.0000.9830.0001.000

Missing values

2023-12-13T05:14:42.610547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:14:42.791182image/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

순번시도명시군구명자치단체코드세목명과세년도비과세금액(원)감면금액(원)부과금액(원)비과세감면율(퍼센트)데이터기준일
01강원특별자치도동해시42170취득세2020173349300028583440003287585600013.972023-07-04
12강원특별자치도동해시42170등록면허세202010634000686000022085230000.792023-07-04
23강원특별자치도동해시42170레저세20200000.02023-07-04
34강원특별자치도동해시42170지역자원시설세20202242490004175200056659730004.692023-07-04
45강원특별자치도동해시42170주민세202040000003657900026572240001.532023-07-04
56강원특별자치도동해시42170지방소득세202000146557680000.02023-07-04
67강원특별자치도동해시42170재산세2020665193400010053700001117803800068.52023-07-04
78강원특별자치도동해시42170자동차세202096343000501255000130184990004.592023-07-04
89강원특별자치도동해시42170담배소비세20200075687480000.02023-07-04
910강원특별자치도동해시42170도축세20200000.02023-07-04
순번시도명시군구명자치단체코드세목명과세년도비과세금액(원)감면금액(원)부과금액(원)비과세감면율(퍼센트)데이터기준일
2223강원특별자치도동해시42170도시계획세20210000.02023-07-04
2324강원특별자치도동해시42170지방교육세20213000087564370000.02023-07-04
2425강원특별자치도동해시51170교육세202201100084820900000.02023-07-04
2526강원특별자치도동해시51170등록세2022<NA>5800000.02023-07-04
2627강원특별자치도동해시51170재산세2022784022700010866930001170653000076.262023-07-04
2728강원특별자치도동해시51170주민세2022380000023771100026552980009.12023-07-04
2829강원특별자치도동해시51170취득세2022168644500041309070002180103800026.682023-07-04
2930강원특별자치도동해시51170자동차세2022100127000503389000130782610004.612023-07-04
3031강원특별자치도동해시51170등록면허세2022137250001109500016286470001.522023-07-04
3132강원특별자치도동해시51170지역자원시설세20222750740004005200053333820005.912023-07-04