Overview

Dataset statistics

Number of variables13
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory117.3 B

Variable types

Categorical8
Numeric5

Dataset

Description경기도 용인시 처인구, 기흥구, 수지구 지방세 미환급 유형별 미환급금 및 연간 누적률 현황입니다. 당해미환급건수, 당해미환급금액 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2021-12-31
URLhttps://www.data.go.kr/data/15078581/fileData.do

Alerts

시도명 has constant value ""Constant
과세년도 has constant value ""Constant
미환급유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 자치단체코드High correlation
자치단체코드 is highly overall correlated with 시군구명High correlation
당해미환급건수 is highly overall correlated with 당해미환급금액 and 3 other fieldsHigh correlation
당해미환급금액 is highly overall correlated with 당해미환급건수 and 3 other fieldsHigh correlation
누적미환급건수 is highly overall correlated with 당해미환급건수 and 4 other fieldsHigh correlation
누적미환급금액 is highly overall correlated with 당해미환급건수 and 4 other fieldsHigh correlation
누적미환급금액증감 is highly overall correlated with 당해미환급금액High correlation
세목명 is highly overall correlated with 누적미환급건수 and 1 other fieldsHigh correlation
납세자유형 is highly overall correlated with 당해미환급건수 and 2 other fieldsHigh correlation
당해미환급금액 has unique valuesUnique
누적미환급금액증감 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:59:13.162302
Analysis finished2023-12-12 08:59:16.983242
Duration3.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
경기도
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 21
100.0%

Length

2023-12-12T17:59:17.074010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:17.220166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 21
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
용인시 기흥구
8 
용인시 처인구
7 
용인시 수지구
6 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시 기흥구
2nd row용인시 처인구
3rd row용인시 기흥구
4th row용인시 수지구
5th row용인시 처인구

Common Values

ValueCountFrequency (%)
용인시 기흥구 8
38.1%
용인시 처인구 7
33.3%
용인시 수지구 6
28.6%

Length

2023-12-12T17:59:17.354670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:17.509244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용인시 21
50.0%
기흥구 8
 
19.0%
처인구 7
 
16.7%
수지구 6
 
14.3%

자치단체코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
41463
8 
41461
7 
41465
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41463
2nd row41461
3rd row41463
4th row41465
5th row41461

Common Values

ValueCountFrequency (%)
41463 8
38.1%
41461 7
33.3%
41465 6
28.6%

Length

2023-12-12T17:59:17.654586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:17.797623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41463 8
38.1%
41461 7
33.3%
41465 6
28.6%

세목명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
자동차세
6 
지방소득세
6 
재산세
5 
등록면허세
4 

Length

Max length5
Median length4
Mean length4.2380952
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차세 6
28.6%
지방소득세 6
28.6%
재산세 5
23.8%
등록면허세 4
19.0%

Length

2023-12-12T17:59:17.982002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:18.164325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 6
28.6%
지방소득세 6
28.6%
재산세 5
23.8%
등록면허세 4
19.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2021
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 21
100.0%

Length

2023-12-12T17:59:18.358950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:18.468089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 21
100.0%

미환급유형
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
신규
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 21
100.0%

Length

2023-12-12T17:59:18.597598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:18.750834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 21
100.0%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
법인
11 
개인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 11
52.4%
개인 10
47.6%

Length

2023-12-12T17:59:19.293332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:19.480199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 11
52.4%
개인 10
47.6%

당해미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.7619
Minimum1
Maximum830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T17:59:19.618885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median30
Q3250
95-th percentile812
Maximum830
Range829
Interquartile range (IQR)244

Descriptive statistics

Standard deviation283.90155
Coefficient of variation (CV)1.5793199
Kurtosis1.2100166
Mean179.7619
Median Absolute Deviation (MAD)28
Skewness1.6145217
Sum3775
Variance80600.09
MonotonicityNot monotonic
2023-12-12T17:59:19.770181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3 2
 
9.5%
1 2
 
9.5%
33 1
 
4.8%
9 1
 
4.8%
30 1
 
4.8%
28 1
 
4.8%
250 1
 
4.8%
830 1
 
4.8%
812 1
 
4.8%
2 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
1 2
9.5%
2 1
4.8%
3 2
9.5%
6 1
4.8%
8 1
4.8%
9 1
4.8%
11 1
4.8%
28 1
4.8%
30 1
4.8%
33 1
4.8%
ValueCountFrequency (%)
830 1
4.8%
812 1
4.8%
736 1
4.8%
489 1
4.8%
263 1
4.8%
250 1
4.8%
138 1
4.8%
73 1
4.8%
49 1
4.8%
33 1
4.8%

당해미환급금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3750896.7
Minimum7210
Maximum13693520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T17:59:19.918612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7210
5-th percentile14270
Q1235310
median1444200
Q35406330
95-th percentile12800440
Maximum13693520
Range13686310
Interquartile range (IQR)5171020

Descriptive statistics

Standard deviation4585799.9
Coefficient of variation (CV)1.2225877
Kurtosis0.28279141
Mean3750896.7
Median Absolute Deviation (MAD)1429930
Skewness1.2307692
Sum78768830
Variance2.1029561 × 1013
MonotonicityNot monotonic
2023-12-12T17:59:20.057989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
304750 1
 
4.8%
235310 1
 
4.8%
14270 1
 
4.8%
2512980 1
 
4.8%
1444200 1
 
4.8%
5406330 1
 
4.8%
12800440 1
 
4.8%
13693520 1
 
4.8%
4390220 1
 
4.8%
4097070 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
7210 1
4.8%
14270 1
4.8%
14590 1
4.8%
47010 1
4.8%
207200 1
4.8%
235310 1
4.8%
304750 1
4.8%
806250 1
4.8%
852370 1
4.8%
896570 1
4.8%
ValueCountFrequency (%)
13693520 1
4.8%
12800440 1
4.8%
12635040 1
4.8%
8613840 1
4.8%
6746390 1
4.8%
5406330 1
4.8%
4390220 1
4.8%
4097070 1
4.8%
3043270 1
4.8%
2512980 1
4.8%

누적미환급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.66667
Minimum16
Maximum3220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T17:59:20.179152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile26
Q162
median278
Q32581
95-th percentile3220
Maximum3220
Range3204
Interquartile range (IQR)2519

Descriptive statistics

Standard deviation1278.592
Coefficient of variation (CV)1.3379058
Kurtosis-0.82035474
Mean955.66667
Median Absolute Deviation (MAD)216
Skewness1.0559862
Sum20069
Variance1634797.4
MonotonicityNot monotonic
2023-12-12T17:59:20.333058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
26 3
14.3%
2581 3
14.3%
278 3
14.3%
404 3
14.3%
3220 3
14.3%
134 3
14.3%
62 2
9.5%
16 1
 
4.8%
ValueCountFrequency (%)
16 1
 
4.8%
26 3
14.3%
62 2
9.5%
134 3
14.3%
278 3
14.3%
404 3
14.3%
2581 3
14.3%
3220 3
14.3%
ValueCountFrequency (%)
3220 3
14.3%
2581 3
14.3%
404 3
14.3%
278 3
14.3%
134 3
14.3%
62 2
9.5%
26 3
14.3%
16 1
 
4.8%

누적미환급금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19176808
Minimum495350
Maximum54882190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T17:59:20.492940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum495350
5-th percentile2319370
Q13575920
median13245300
Q338347430
95-th percentile54882190
Maximum54882190
Range54386840
Interquartile range (IQR)34771510

Descriptive statistics

Standard deviation19238839
Coefficient of variation (CV)1.0032347
Kurtosis-0.59992368
Mean19176808
Median Absolute Deviation (MAD)9669380
Skewness0.92394271
Sum4.0271297 × 108
Variance3.7013293 × 1014
MonotonicityNot monotonic
2023-12-12T17:59:20.660757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2319370 3
14.3%
38347430 3
14.3%
3575920 3
14.3%
19499030 3
14.3%
54882190 3
14.3%
6618400 3
14.3%
13245300 2
9.5%
495350 1
 
4.8%
ValueCountFrequency (%)
495350 1
 
4.8%
2319370 3
14.3%
3575920 3
14.3%
6618400 3
14.3%
13245300 2
9.5%
19499030 3
14.3%
38347430 3
14.3%
54882190 3
14.3%
ValueCountFrequency (%)
54882190 3
14.3%
38347430 3
14.3%
19499030 3
14.3%
13245300 2
9.5%
6618400 3
14.3%
3575920 3
14.3%
2319370 3
14.3%
495350 1
 
4.8%

누적미환급금액증감
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5672.8733
Minimum62.54
Maximum46279.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T17:59:20.820822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.54
5-th percentile163.37
Q1223.29
median345.18
Q32187.63
95-th percentile32068.79
Maximum46279.82
Range46217.28
Interquartile range (IQR)1964.34

Descriptive statistics

Standard deviation12032.472
Coefficient of variation (CV)2.1210543
Kurtosis6.8898499
Mean5672.8733
Median Absolute Deviation (MAD)181.81
Skewness2.6702897
Sum119130.34
Variance1.4478039 × 108
MonotonicityNot monotonic
2023-12-12T17:59:20.992289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
62.54 1
 
4.8%
885.67 1
 
4.8%
46279.82 1
 
4.8%
163.37 1
 
4.8%
358.27 1
 
4.8%
915.15 1
 
4.8%
328.75 1
 
4.8%
300.79 1
 
4.8%
201.7 1
 
4.8%
223.29 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
62.54 1
4.8%
163.37 1
4.8%
189.03 1
4.8%
201.7 1
4.8%
203.5 1
4.8%
223.29 1
4.8%
298.84 1
4.8%
300.79 1
4.8%
328.75 1
4.8%
343.52 1
4.8%
ValueCountFrequency (%)
46279.82 1
4.8%
32068.79 1
4.8%
15796.98 1
4.8%
9310.73 1
4.8%
7506.72 1
4.8%
2187.63 1
4.8%
1160.07 1
4.8%
915.15 1
4.8%
885.67 1
4.8%
358.27 1
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2021-12-31
21 

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 21
100.0%

Length

2023-12-12T17:59:21.160340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:21.270962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-31 21
100.0%

Interactions

2023-12-12T17:59:15.942578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:13.748134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.283846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.880917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.436150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:16.044740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:13.861150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.398478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.987308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.525369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:16.164342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:13.979442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.521787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.117033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.662743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:16.276277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.077912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.646375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.224129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.770967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:16.397048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.185948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:14.763188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.342808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:15.864902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:59:21.371892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명자치단체코드세목명납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감
시군구명1.0001.0000.0000.0000.0000.0000.0000.0000.500
자치단체코드1.0001.0000.0000.0000.0000.0000.0000.0000.500
세목명0.0000.0001.0000.0000.1790.2260.8880.9250.321
납세자유형0.0000.0000.0001.0000.8350.3530.9861.0000.161
당해미환급건수0.0000.0000.1790.8351.0000.8390.8660.8200.000
당해미환급금액0.0000.0000.2260.3530.8391.0000.6600.7200.000
누적미환급건수0.0000.0000.8880.9860.8660.6601.0001.0000.000
누적미환급금액0.0000.0000.9251.0000.8200.7201.0001.0000.000
누적미환급금액증감0.5000.5000.3210.1610.0000.0000.0000.0001.000
2023-12-12T17:59:21.541958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명세목명자치단체코드납세자유형
시군구명1.0000.0001.0000.000
세목명0.0001.0000.0000.000
자치단체코드1.0000.0001.0000.000
납세자유형0.0000.0000.0001.000
2023-12-12T17:59:21.713270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감시군구명자치단체코드세목명납세자유형
당해미환급건수1.0000.8250.7820.715-0.3910.0000.0000.0000.562
당해미환급금액0.8251.0000.6830.799-0.6160.0000.0000.1890.337
누적미환급건수0.7820.6831.0000.901-0.0130.0000.0000.5600.843
누적미환급금액0.7150.7990.9011.000-0.1110.0000.0000.7760.786
누적미환급금액증감-0.391-0.616-0.013-0.1111.0000.1860.1860.1620.000
시군구명0.0000.0000.0000.0000.1861.0001.0000.0000.000
자치단체코드0.0000.0000.0000.0000.1861.0001.0000.0000.000
세목명0.0000.1890.5600.7760.1620.0000.0001.0000.000
납세자유형0.5620.3370.8430.7860.0000.0000.0000.0001.000

Missing values

2023-12-12T17:59:16.612104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:59:16.890217image/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

시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일자
0경기도용인시 기흥구41463등록면허세2021신규개인33047501649535062.542021-12-31
1경기도용인시 처인구41461등록면허세2021신규법인11235310262319370885.672021-12-31
2경기도용인시 기흥구41463등록면허세2021신규법인1721026231937032068.792021-12-31
3경기도용인시 수지구41465등록면허세2021신규법인11459026231937015796.982021-12-31
4경기도용인시 처인구41461자동차세2021신규개인4898613840258138347430345.182021-12-31
5경기도용인시 기흥구41463자동차세2021신규개인73612635040258138347430203.52021-12-31
6경기도용인시 수지구41465자동차세2021신규개인13830432702581383474301160.072021-12-31
7경기도용인시 처인구41461자동차세2021신규법인738965702783575920298.842021-12-31
8경기도용인시 기흥구41463자동차세2021신규법인498062502783575920343.522021-12-31
9경기도용인시 수지구41465자동차세2021신규법인84701027835759207506.722021-12-31
시도명시군구명자치단체코드세목명과세년도미환급유형납세자유형당해미환급건수당해미환급금액누적미환급건수누적미환급금액누적미환급금액증감데이터기준일자
11경기도용인시 기흥구41463재산세2021신규개인3207200404194990309310.732021-12-31
12경기도용인시 수지구41465재산세2021신규개인6852370404194990302187.632021-12-31
13경기도용인시 처인구41461재산세2021신규법인3340970706213245300223.292021-12-31
14경기도용인시 기흥구41463재산세2021신규법인243902206213245300201.72021-12-31
15경기도용인시 처인구41461지방소득세2021신규개인81213693520322054882190300.792021-12-31
16경기도용인시 기흥구41463지방소득세2021신규개인83012800440322054882190328.752021-12-31
17경기도용인시 수지구41465지방소득세2021신규개인2505406330322054882190915.152021-12-31
18경기도용인시 처인구41461지방소득세2021신규법인2814442001346618400358.272021-12-31
19경기도용인시 기흥구41463지방소득세2021신규법인3025129801346618400163.372021-12-31
20경기도용인시 수지구41465지방소득세2021신규법인914270134661840046279.822021-12-31