Overview

Dataset statistics

Number of variables13
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory116.3 B

Variable types

Categorical8
Numeric5

Dataset

Description인천광역시 중구에서 부과되는 지방세에 대한 데이터로 미환급유형, 납세자유형, 미환급금액, 누적미환급건수, 누적미환급금액 등을 제공합니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079340&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
당해미환급건수 is highly overall correlated with 당해미환급금액 and 2 other fieldsHigh correlation
당해미환급금액 is highly overall correlated with 당해미환급건수 and 2 other fieldsHigh correlation
누적미환급건수 is highly overall correlated with 당해미환급건수 and 2 other fieldsHigh correlation
누적미환급금액 is highly overall correlated with 당해미환급건수 and 2 other fieldsHigh correlation
누적미환급금액증감 is highly overall correlated with 미환급유형High correlation
미환급유형 is highly overall correlated with 누적미환급금액증감High correlation
미환급유형 is highly imbalanced (75.8%)Imbalance
당해미환급금액 has unique valuesUnique
누적미환급금액증감 has 4 (16.0%) zerosZeros

Reproduction

Analysis started2024-01-28 11:31:58.600688
Analysis finished2024-01-28 11:32:00.863850
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
인천광역시
25 

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 25
100.0%

Length

2024-01-28T20:32:00.914979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:00.981835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 25
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
중구
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 25
100.0%

Length

2024-01-28T20:32:01.052166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.131749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 25
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
28110
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28110
2nd row28110
3rd row28110
4th row28110
5th row28110

Common Values

ValueCountFrequency (%)
28110 25
100.0%

Length

2024-01-28T20:32:01.200218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.265411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28110 25
100.0%

세목명
Categorical

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
자동차세
7 
지방소득세
6 
재산세
5 
등록면허세
3 
주민세
3 

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row등록면허세
2nd row자동차세
3rd row자동차세
4th row자동차세
5th row재산세

Common Values

ValueCountFrequency (%)
자동차세 7
28.0%
지방소득세 6
24.0%
재산세 5
20.0%
등록면허세 3
12.0%
주민세 3
12.0%
취득세 1
 
4.0%

Length

2024-01-28T20:32:01.344193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.428900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 7
28.0%
지방소득세 6
24.0%
재산세 5
20.0%
등록면허세 3
12.0%
주민세 3
12.0%
취득세 1
 
4.0%

과세년도
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2020
9 
2022
9 
2021
7 

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 9
36.0%
2022 9
36.0%
2021 7
28.0%

Length

2024-01-28T20:32:01.516644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.587177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 9
36.0%
2022 9
36.0%
2021 7
28.0%

미환급유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
신규
24 
기타
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row신규
2nd row신규
3rd row기타
4th row신규
5th row신규

Common Values

ValueCountFrequency (%)
신규 24
96.0%
기타 1
 
4.0%

Length

2024-01-28T20:32:01.662316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.733640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 24
96.0%
기타 1
 
4.0%

납세자유형
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
개인
15 
법인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 15
60.0%
법인 10
40.0%

Length

2024-01-28T20:32:01.803370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:01.872075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 15
60.0%
법인 10
40.0%

당해미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.16
Minimum1
Maximum557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-28T20:32:01.934938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median20
Q3153
95-th percentile537.6
Maximum557
Range556
Interquartile range (IQR)151

Descriptive statistics

Standard deviation179.57164
Coefficient of variation (CV)1.559323
Kurtosis1.5472171
Mean115.16
Median Absolute Deviation (MAD)19
Skewness1.6456945
Sum2879
Variance32245.973
MonotonicityNot monotonic
2024-01-28T20:32:02.014352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 5
20.0%
2 3
 
12.0%
4 2
 
8.0%
266 1
 
4.0%
26 1
 
4.0%
553 1
 
4.0%
9 1
 
4.0%
181 1
 
4.0%
557 1
 
4.0%
20 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
1 5
20.0%
2 3
12.0%
4 2
 
8.0%
9 1
 
4.0%
10 1
 
4.0%
20 1
 
4.0%
22 1
 
4.0%
26 1
 
4.0%
51 1
 
4.0%
61 1
 
4.0%
ValueCountFrequency (%)
557 1
4.0%
553 1
4.0%
476 1
4.0%
324 1
4.0%
266 1
4.0%
181 1
4.0%
153 1
4.0%
151 1
4.0%
61 1
4.0%
51 1
4.0%

당해미환급금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2822890.8
Minimum1350
Maximum11940730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-28T20:32:02.101599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1350
5-th percentile13642
Q1183680
median512070
Q34501750
95-th percentile9506620
Maximum11940730
Range11939380
Interquartile range (IQR)4318070

Descriptive statistics

Standard deviation3648061.8
Coefficient of variation (CV)1.2923142
Kurtosis0.22218408
Mean2822890.8
Median Absolute Deviation (MAD)495340
Skewness1.1725832
Sum70572270
Variance1.3308355 × 1013
MonotonicityNot monotonic
2024-01-28T20:32:02.431584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
42220 1
 
4.0%
4430330 1
 
4.0%
11940730 1
 
4.0%
379070 1
 
4.0%
9015820 1
 
4.0%
96580 1
 
4.0%
25380 1
 
4.0%
423440 1
 
4.0%
4501750 1
 
4.0%
9629320 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1350 1
4.0%
12870 1
4.0%
16730 1
4.0%
25380 1
4.0%
42220 1
4.0%
96580 1
4.0%
183680 1
4.0%
210660 1
4.0%
379070 1
4.0%
387730 1
4.0%
ValueCountFrequency (%)
11940730 1
4.0%
9629320 1
4.0%
9015820 1
4.0%
7710080 1
4.0%
6346580 1
4.0%
5965530 1
4.0%
4501750 1
4.0%
4430330 1
4.0%
3981200 1
4.0%
3017830 1
4.0%

누적미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.24
Minimum1
Maximum1146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-28T20:32:02.543936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q14
median47
Q3318
95-th percentile1059.8
Maximum1146
Range1145
Interquartile range (IQR)314

Descriptive statistics

Standard deviation358.29972
Coefficient of variation (CV)1.5102838
Kurtosis1.5222659
Mean237.24
Median Absolute Deviation (MAD)45
Skewness1.6359482
Sum5931
Variance128378.69
MonotonicityNot monotonic
2024-01-28T20:32:02.640684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 2
 
8.0%
122 2
 
8.0%
1 2
 
8.0%
3 2
 
8.0%
560 1
 
4.0%
47 1
 
4.0%
875 1
 
4.0%
49 1
 
4.0%
355 1
 
4.0%
1146 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
1 2
8.0%
2 2
8.0%
3 2
8.0%
4 1
4.0%
16 1
4.0%
22 1
4.0%
26 1
4.0%
33 1
4.0%
42 1
4.0%
47 1
4.0%
ValueCountFrequency (%)
1146 1
4.0%
1106 1
4.0%
875 1
4.0%
727 1
4.0%
560 1
4.0%
355 1
4.0%
318 1
4.0%
267 1
4.0%
122 2
8.0%
82 1
4.0%

누적미환급금액
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5832033.6
Minimum12870
Maximum17731470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-28T20:32:02.732617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12870
5-th percentile44954
Q1497340
median2164420
Q311940790
95-th percentile15446356
Maximum17731470
Range17718600
Interquartile range (IQR)11443450

Descriptive statistics

Standard deviation6061790.8
Coefficient of variation (CV)1.0393957
Kurtosis-1.1644776
Mean5832033.6
Median Absolute Deviation (MAD)2151550
Skewness0.65403948
Sum1.4580084 × 108
Variance3.6745307 × 1013
MonotonicityNot monotonic
2024-01-28T20:32:02.829527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1826480 2
 
8.0%
123250 1
 
4.0%
12454770 1
 
4.0%
11940790 1
 
4.0%
2164420 1
 
4.0%
14932020 1
 
4.0%
285690 1
 
4.0%
25380 1
 
4.0%
1702930 1
 
4.0%
8115250 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
12870 1
4.0%
25380 1
4.0%
123250 1
4.0%
256710 1
4.0%
285690 1
4.0%
387730 1
4.0%
497340 1
4.0%
766880 1
4.0%
829090 1
4.0%
1702930 1
4.0%
ValueCountFrequency (%)
17731470 1
4.0%
15574940 1
4.0%
14932020 1
4.0%
14049920 1
4.0%
13550090 1
4.0%
12454770 1
4.0%
11940790 1
4.0%
9503280 1
4.0%
8115250 1
4.0%
6468600 1
4.0%

누적미환급금액증감
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8841.2212
Minimum0
Maximum135194.81
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-28T20:32:02.922354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.86
median87.85
Q3191.92
95-th percentile65242.966
Maximum135194.81
Range135194.81
Interquartile range (IQR)170.06

Descriptive statistics

Standard deviation30872.454
Coefficient of variation (CV)3.4918766
Kurtosis13.198771
Mean8841.2212
Median Absolute Deviation (MAD)83.55
Skewness3.6576879
Sum221030.53
Variance9.5310839 × 108
MonotonicityNot monotonic
2024-01-28T20:32:03.013909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 4
 
16.0%
191.92 1
 
4.0%
87.85 1
 
4.0%
470.98 1
 
4.0%
65.62 1
 
4.0%
195.81 1
 
4.0%
302.17 1
 
4.0%
80.27 1
 
4.0%
84.14 1
 
4.0%
170.76 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
0.0 4
16.0%
4.3 1
 
4.0%
19.15 1
 
4.0%
21.86 1
 
4.0%
50.84 1
 
4.0%
62.48 1
 
4.0%
65.62 1
 
4.0%
80.27 1
 
4.0%
84.14 1
 
4.0%
87.85 1
 
4.0%
ValueCountFrequency (%)
135194.81 1
4.0%
80892.77 1
4.0%
2643.75 1
4.0%
470.98 1
4.0%
302.17 1
4.0%
195.81 1
4.0%
191.92 1
4.0%
178.29 1
4.0%
170.76 1
4.0%
114.51 1
4.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2022-12-31
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 25
100.0%

Length

2024-01-28T20:32:03.106574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:32:03.179081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 25
100.0%

Interactions

2024-01-28T20:32:00.314750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:58.926119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.280152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.608677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.937049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.378226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:58.984218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.342732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.669547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.003914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.445961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.049467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.406241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.738335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.087884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.516694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.119690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.469950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.802538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.168260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.589334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.202609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.538146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:31:59.869929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:32:00.241479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:32:03.225893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
세목명1.0000.0000.0000.0000.0000.6260.0000.6460.000
과세년도0.0001.0000.0000.0000.2850.4130.0000.0000.000
미환급유형0.0000.0001.0000.0000.000NaN0.6900.0001.000
납세자유형0.0000.0000.0001.0000.0000.0000.3010.6480.052
당해미환급건수0.0000.2850.0000.0001.0000.8630.9930.8690.000
당해미환급금액0.6260.413NaN0.0000.8631.0000.8630.9070.000
누적미환급건수0.0000.0000.6900.3010.9930.8631.0000.8960.000
누적미환급금액0.6460.0000.0000.6480.8690.9070.8961.0000.000
누적미환급금액증감0.0000.0001.0000.0520.0000.0000.0000.0001.000
2024-01-28T20:32:03.320415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형과세년도미환급유형
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.000
과세년도0.0000.0001.0000.000
미환급유형0.0000.0000.0001.000
2024-01-28T20:32:03.399802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감세목명과세년도미환급유형납세자유형
당해미환급건수1.0000.7400.9010.7370.0420.0000.1230.0000.000
당해미환급금액0.7401.0000.6240.728-0.2910.2860.1770.0000.000
누적미환급건수0.9010.6241.0000.7860.2950.0000.0000.4420.162
누적미환급금액0.7370.7280.7861.0000.2240.3730.0000.0000.384
누적미환급금액증감0.042-0.2910.2950.2241.0000.0000.0000.9780.061
세목명0.0000.2860.0000.3730.0001.0000.0000.0000.000
과세년도0.1230.1770.0000.0000.0000.0001.0000.0000.000
미환급유형0.0000.0000.4420.0000.9780.0000.0001.0000.000
납세자유형0.0000.0000.1620.3840.0610.0000.0000.0001.000

Missing values

2024-01-28T20:32:00.686666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:32:00.813733image/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

시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일
0인천광역시중구28110등록면허세2020신규개인2422204123250191.922022-12-31
1인천광역시중구28110자동차세2020신규개인32444303307279503280114.512022-12-31
2인천광역시중구28110자동차세2020기타법인113501221826480135194.812022-12-31
3인천광역시중구28110자동차세2020신규법인616563301221826480178.292022-12-31
4인천광역시중구28110재산세2020신규개인416730331355009080892.772022-12-31
5인천광역시중구28110재산세2020신규법인138773013877300.02022-12-31
6인천광역시중구28110주민세2020신규개인1128701128700.02022-12-31
7인천광역시중구28110지방소득세2020신규개인1513981200318646860062.482022-12-31
8인천광역시중구28110지방소득세2020신규법인102106602225671021.862022-12-31
9인천광역시중구28110등록면허세2021신규개인226436302676688019.152022-12-31
시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일
15인천광역시중구28110지방소득세2021신규법인2059655304262222404.32022-12-31
16인천광역시중구28110등록면허세2022신규개인418368016497340170.762022-12-31
17인천광역시중구28110자동차세2022신규개인557962932011461773147084.142022-12-31
18인천광역시중구28110자동차세2022신규법인1814501750355811525080.272022-12-31
19인천광역시중구28110재산세2022신규개인9423440491702930302.172022-12-31
20인천광역시중구28110주민세2022신규개인2253802253800.02022-12-31
21인천광역시중구28110주민세2022신규법인1965803285690195.812022-12-31
22인천광역시중구28110지방소득세2022신규개인55390158208751493202065.622022-12-31
23인천광역시중구28110지방소득세2022신규법인26379070472164420470.982022-12-31
24인천광역시중구28110취득세2022신규개인2119407303119407900.02022-12-31