Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory277.0 B

Variable types

Numeric29
Categorical1

Dataset

DescriptionSKT사에서 제공하는 데이터(2019. 1. ~ 계속)로 월별 충청남도내 시군 단위로 기준연월일, 시군구명, 연령별유동인구(남성/여성 구분, 10세미만~70세이상 5세단위) 컬럼으로 구성되어 있습니다. 50*50m격자형태의 원데이터에서 시군단위로 가공한 자료로 민간에서도 다운로드 받아 사용할 수 있으며, 상업적인 용도로 사용은 금합니다. 보다 상세한 데이터는 SKT사로부터 구매후 이용가능합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3143

Reproduction

Analysis started2024-01-09 22:54:48.245016
Analysis finished2024-01-09 22:54:49.242804
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월일
Real number (ℝ)

Distinct1763
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20209914
Minimum20190101
Maximum20231031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:49.312423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190101
5-th percentile20190328
Q120200312
median20210528
Q320220815
95-th percentile20230802
Maximum20231031
Range40930
Interquartile range (IQR)20503

Descriptive statistics

Standard deviation13901.267
Coefficient of variation (CV)0.00068784397
Kurtosis-1.2659332
Mean20209914
Median Absolute Deviation (MAD)10276
Skewness0.047299245
Sum2.0209914 × 1011
Variance1.9324523 × 108
MonotonicityNot monotonic
2024-01-10T07:54:49.438335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200306 11
 
0.1%
20190121 11
 
0.1%
20230322 11
 
0.1%
20190316 11
 
0.1%
20190516 11
 
0.1%
20230319 11
 
0.1%
20231007 11
 
0.1%
20191117 11
 
0.1%
20210427 10
 
0.1%
20201031 10
 
0.1%
Other values (1753) 9892
98.9%
ValueCountFrequency (%)
20190101 6
0.1%
20190102 6
0.1%
20190103 9
0.1%
20190104 7
0.1%
20190105 6
0.1%
20190106 6
0.1%
20190107 7
0.1%
20190108 7
0.1%
20190109 4
< 0.1%
20190110 5
0.1%
ValueCountFrequency (%)
20231031 6
0.1%
20231030 5
0.1%
20231029 4
< 0.1%
20231028 4
< 0.1%
20231027 6
0.1%
20231026 7
0.1%
20231025 4
< 0.1%
20231024 9
0.1%
20231023 5
0.1%
20231022 6
0.1%

시군구명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
홍성군
696 
부여군
686 
계룡시
682 
청양군
681 
아산시
681 
Other values (10)
6574 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청양군
2nd row예산군
3rd row서천군
4th row아산시
5th row서산시

Common Values

ValueCountFrequency (%)
홍성군 696
 
7.0%
부여군 686
 
6.9%
계룡시 682
 
6.8%
청양군 681
 
6.8%
아산시 681
 
6.8%
당진시 673
 
6.7%
태안군 668
 
6.7%
보령시 665
 
6.7%
천안시 664
 
6.6%
논산시 658
 
6.6%
Other values (5) 3246
32.5%

Length

2024-01-10T07:54:49.575567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홍성군 696
 
7.0%
부여군 686
 
6.9%
계룡시 682
 
6.8%
청양군 681
 
6.8%
아산시 681
 
6.8%
당진시 673
 
6.7%
태안군 668
 
6.7%
보령시 665
 
6.7%
천안시 664
 
6.6%
논산시 658
 
6.6%
Other values (5) 3246
32.5%

남성 10세미만 유동인구수
Real number (ℝ)

Distinct9985
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20215.144
Minimum754.41
Maximum186316.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:49.713691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum754.41
5-th percentile2353.2075
Q15268.0525
median10093.115
Q320668.408
95-th percentile83100.208
Maximum186316.43
Range185562.02
Interquartile range (IQR)15400.355

Descriptive statistics

Standard deviation27639.293
Coefficient of variation (CV)1.3672568
Kurtosis9.0663508
Mean20215.144
Median Absolute Deviation (MAD)5787.415
Skewness2.8506576
Sum2.0215144 × 108
Variance7.6393051 × 108
MonotonicityNot monotonic
2024-01-10T07:54:49.872361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4442.5 2
 
< 0.1%
11933.85 2
 
< 0.1%
9858.49 2
 
< 0.1%
33726.5 2
 
< 0.1%
5017.32 2
 
< 0.1%
5612.0 2
 
< 0.1%
4304.69 2
 
< 0.1%
6241.25 2
 
< 0.1%
4723.1 2
 
< 0.1%
13854.87 2
 
< 0.1%
Other values (9975) 9980
99.8%
ValueCountFrequency (%)
754.41 1
< 0.1%
791.92 1
< 0.1%
796.28 1
< 0.1%
823.86 1
< 0.1%
843.41 1
< 0.1%
846.32 1
< 0.1%
932.54 1
< 0.1%
933.39 1
< 0.1%
959.33 1
< 0.1%
979.46 1
< 0.1%
ValueCountFrequency (%)
186316.43 1
< 0.1%
184783.98 1
< 0.1%
181991.67 1
< 0.1%
180922.24 1
< 0.1%
180686.42 1
< 0.1%
180426.13 1
< 0.1%
178633.25 1
< 0.1%
178291.76 1
< 0.1%
178286.73 1
< 0.1%
177596.48 1
< 0.1%

남성 10-14세 유동인구수
Real number (ℝ)

Distinct9971
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12798.147
Minimum682.79
Maximum122692.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:50.035115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum682.79
5-th percentile2024.702
Q14037.345
median7353.325
Q313329.925
95-th percentile50880.068
Maximum122692.38
Range122009.59
Interquartile range (IQR)9292.58

Descriptive statistics

Standard deviation15991.791
Coefficient of variation (CV)1.2495396
Kurtosis8.6620568
Mean12798.147
Median Absolute Deviation (MAD)3864.185
Skewness2.8271293
Sum1.2798147 × 108
Variance2.5573739 × 108
MonotonicityNot monotonic
2024-01-10T07:54:50.180446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11816.24 2
 
< 0.1%
6511.98 2
 
< 0.1%
1039.32 2
 
< 0.1%
3592.08 2
 
< 0.1%
7808.05 2
 
< 0.1%
3134.11 2
 
< 0.1%
10485.23 2
 
< 0.1%
4045.97 2
 
< 0.1%
3450.25 2
 
< 0.1%
3858.81 2
 
< 0.1%
Other values (9961) 9980
99.8%
ValueCountFrequency (%)
682.79 1
< 0.1%
827.51 1
< 0.1%
843.06 1
< 0.1%
852.31 1
< 0.1%
855.37 1
< 0.1%
876.55 1
< 0.1%
876.86 1
< 0.1%
890.94 1
< 0.1%
913.57 1
< 0.1%
923.39 1
< 0.1%
ValueCountFrequency (%)
122692.38 1
< 0.1%
121338.55 1
< 0.1%
114692.82 1
< 0.1%
110575.7 1
< 0.1%
109871.24 1
< 0.1%
107900.8 1
< 0.1%
107176.77 1
< 0.1%
105263.61 1
< 0.1%
104891.18 1
< 0.1%
104029.25 1
< 0.1%

남성 15-19세 유동인구수
Real number (ℝ)

Distinct9978
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22754.216
Minimum1691.98
Maximum205431.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:50.304180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1691.98
5-th percentile3831.164
Q16647.715
median13799.165
Q323057.688
95-th percentile102290.53
Maximum205431.73
Range203739.75
Interquartile range (IQR)16409.972

Descriptive statistics

Standard deviation29954.624
Coefficient of variation (CV)1.3164428
Kurtosis8.8442387
Mean22754.216
Median Absolute Deviation (MAD)7668.72
Skewness2.9336748
Sum2.2754216 × 108
Variance8.9727948 × 108
MonotonicityNot monotonic
2024-01-10T07:54:50.430170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5926.59 3
 
< 0.1%
15605.75 2
 
< 0.1%
20972.25 2
 
< 0.1%
7349.67 2
 
< 0.1%
7346.33 2
 
< 0.1%
5494.54 2
 
< 0.1%
6351.14 2
 
< 0.1%
6815.7 2
 
< 0.1%
6298.65 2
 
< 0.1%
9526.55 2
 
< 0.1%
Other values (9968) 9979
99.8%
ValueCountFrequency (%)
1691.98 1
< 0.1%
1864.15 1
< 0.1%
1906.91 1
< 0.1%
1909.43 1
< 0.1%
1981.53 1
< 0.1%
2011.65 1
< 0.1%
2018.37 1
< 0.1%
2026.29 1
< 0.1%
2038.37 1
< 0.1%
2038.55 1
< 0.1%
ValueCountFrequency (%)
205431.73 1
< 0.1%
198346.67 1
< 0.1%
194342.03 1
< 0.1%
192290.12 1
< 0.1%
191659.25 1
< 0.1%
190405.31 1
< 0.1%
189767.09 1
< 0.1%
185608.48 1
< 0.1%
184743.92 1
< 0.1%
183458.25 1
< 0.1%

남성 20-24세 유동인구수
Real number (ℝ)

Distinct9990
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30184.586
Minimum2868.38
Maximum290205.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:50.571287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2868.38
5-th percentile4968.972
Q18118.56
median16790.23
Q328415.677
95-th percentile143768.6
Maximum290205.96
Range287337.58
Interquartile range (IQR)20297.117

Descriptive statistics

Standard deviation41812.468
Coefficient of variation (CV)1.3852258
Kurtosis8.4486477
Mean30184.586
Median Absolute Deviation (MAD)9403.83
Skewness2.9077132
Sum3.0184586 × 108
Variance1.7482824 × 109
MonotonicityNot monotonic
2024-01-10T07:54:50.689663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9062.47 2
 
< 0.1%
6296.56 2
 
< 0.1%
6322.32 2
 
< 0.1%
8136.81 2
 
< 0.1%
7085.1 2
 
< 0.1%
14654.91 2
 
< 0.1%
4497.26 2
 
< 0.1%
6409.93 2
 
< 0.1%
8526.57 2
 
< 0.1%
5869.39 2
 
< 0.1%
Other values (9980) 9980
99.8%
ValueCountFrequency (%)
2868.38 1
< 0.1%
3001.84 1
< 0.1%
3070.2 1
< 0.1%
3134.92 1
< 0.1%
3245.0 1
< 0.1%
3276.97 1
< 0.1%
3283.26 1
< 0.1%
3289.05 1
< 0.1%
3327.93 1
< 0.1%
3343.39 1
< 0.1%
ValueCountFrequency (%)
290205.96 1
< 0.1%
289537.96 1
< 0.1%
288988.65 1
< 0.1%
280544.49 1
< 0.1%
278440.48 1
< 0.1%
277006.72 1
< 0.1%
276152.45 1
< 0.1%
272072.82 1
< 0.1%
265857.82 1
< 0.1%
259607.45 1
< 0.1%

남성 25-29세 유동인구수
Real number (ℝ)

Distinct9984
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30372.595
Minimum2350.3
Maximum210790.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:50.812692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2350.3
5-th percentile4278.6455
Q18448.51
median15782.335
Q330080.403
95-th percentile148018.82
Maximum210790.95
Range208440.65
Interquartile range (IQR)21631.893

Descriptive statistics

Standard deviation40934.525
Coefficient of variation (CV)1.3477454
Kurtosis6.0548903
Mean30372.595
Median Absolute Deviation (MAD)8344.395
Skewness2.5786572
Sum3.0372595 × 108
Variance1.6756354 × 109
MonotonicityNot monotonic
2024-01-10T07:54:50.957019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8246.37 2
 
< 0.1%
8144.08 2
 
< 0.1%
6426.12 2
 
< 0.1%
4352.91 2
 
< 0.1%
19893.24 2
 
< 0.1%
4262.96 2
 
< 0.1%
11991.98 2
 
< 0.1%
7588.65 2
 
< 0.1%
8677.15 2
 
< 0.1%
4518.13 2
 
< 0.1%
Other values (9974) 9980
99.8%
ValueCountFrequency (%)
2350.3 1
< 0.1%
2592.0 1
< 0.1%
2621.28 1
< 0.1%
2770.7 1
< 0.1%
2773.62 1
< 0.1%
2802.18 1
< 0.1%
2850.08 1
< 0.1%
2866.16 1
< 0.1%
2884.62 1
< 0.1%
2885.07 1
< 0.1%
ValueCountFrequency (%)
210790.95 1
< 0.1%
210494.73 1
< 0.1%
209626.28 1
< 0.1%
208052.73 1
< 0.1%
207684.1 1
< 0.1%
207134.59 1
< 0.1%
206905.42 1
< 0.1%
206743.08 1
< 0.1%
206647.09 1
< 0.1%
206507.33 1
< 0.1%

남성 30-34세 유동인구수
Real number (ℝ)

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38014.71
Minimum3112.64
Maximum253996.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:51.395995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3112.64
5-th percentile5053.194
Q110519.162
median18469.89
Q338259.543
95-th percentile177404.84
Maximum253996.01
Range250883.37
Interquartile range (IQR)27740.38

Descriptive statistics

Standard deviation50353.887
Coefficient of variation (CV)1.3245895
Kurtosis4.8998623
Mean38014.71
Median Absolute Deviation (MAD)9196.97
Skewness2.3719442
Sum3.801471 × 108
Variance2.5355139 × 109
MonotonicityNot monotonic
2024-01-10T07:54:51.519600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9508.66 2
 
< 0.1%
11215.54 2
 
< 0.1%
15824.86 2
 
< 0.1%
15317.33 2
 
< 0.1%
5359.66 2
 
< 0.1%
10834.0 2
 
< 0.1%
24087.01 2
 
< 0.1%
24431.48 2
 
< 0.1%
10191.64 2
 
< 0.1%
25480.13 2
 
< 0.1%
Other values (9973) 9980
99.8%
ValueCountFrequency (%)
3112.64 1
< 0.1%
3121.62 1
< 0.1%
3198.9 1
< 0.1%
3203.48 1
< 0.1%
3209.04 1
< 0.1%
3277.01 1
< 0.1%
3300.27 1
< 0.1%
3316.76 1
< 0.1%
3331.08 1
< 0.1%
3363.08 1
< 0.1%
ValueCountFrequency (%)
253996.01 1
< 0.1%
253903.52 1
< 0.1%
252184.89 1
< 0.1%
251553.81 1
< 0.1%
251005.23 1
< 0.1%
250267.05 1
< 0.1%
248717.03 1
< 0.1%
247849.36 1
< 0.1%
247630.41 1
< 0.1%
247610.32 1
< 0.1%

남성 35-39세 유동인구수
Real number (ℝ)

Distinct9992
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40802.341
Minimum3461.11
Maximum252398.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:51.640419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3461.11
5-th percentile6063.6665
Q112493.31
median20700.46
Q342038.9
95-th percentile177835.75
Maximum252398.25
Range248937.14
Interquartile range (IQR)29545.59

Descriptive statistics

Standard deviation50867.213
Coefficient of variation (CV)1.2466739
Kurtosis4.4178689
Mean40802.341
Median Absolute Deviation (MAD)9598.165
Skewness2.2820465
Sum4.0802341 × 108
Variance2.5874734 × 109
MonotonicityNot monotonic
2024-01-10T07:54:51.766386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11366.21 2
 
< 0.1%
51349.13 2
 
< 0.1%
27659.27 2
 
< 0.1%
9977.22 2
 
< 0.1%
11890.09 2
 
< 0.1%
11313.06 2
 
< 0.1%
30526.03 2
 
< 0.1%
14480.58 2
 
< 0.1%
5942.41 1
 
< 0.1%
101791.71 1
 
< 0.1%
Other values (9982) 9982
99.8%
ValueCountFrequency (%)
3461.11 1
< 0.1%
3621.67 1
< 0.1%
3709.65 1
< 0.1%
3972.87 1
< 0.1%
3973.96 1
< 0.1%
4080.52 1
< 0.1%
4095.22 1
< 0.1%
4102.53 1
< 0.1%
4112.72 1
< 0.1%
4165.05 1
< 0.1%
ValueCountFrequency (%)
252398.25 1
< 0.1%
250817.72 1
< 0.1%
250286.4 1
< 0.1%
248899.54 1
< 0.1%
246969.4 1
< 0.1%
246714.98 1
< 0.1%
246611.75 1
< 0.1%
246039.13 1
< 0.1%
245931.18 1
< 0.1%
245885.68 1
< 0.1%

남성 40-44세 유동인구수
Real number (ℝ)

Distinct9989
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45256.393
Minimum3716.16
Maximum271887.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:51.892760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3716.16
5-th percentile7614.239
Q115782.642
median26821.94
Q347301.935
95-th percentile180797.14
Maximum271887.61
Range268171.45
Interquartile range (IQR)31519.292

Descriptive statistics

Standard deviation51651.3
Coefficient of variation (CV)1.1413039
Kurtosis4.7778235
Mean45256.393
Median Absolute Deviation (MAD)12274.68
Skewness2.3088673
Sum4.5256393 × 108
Variance2.6678568 × 109
MonotonicityNot monotonic
2024-01-10T07:54:52.032448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6530.18 2
 
< 0.1%
26324.5 2
 
< 0.1%
14403.0 2
 
< 0.1%
13598.12 2
 
< 0.1%
63965.99 2
 
< 0.1%
28702.47 2
 
< 0.1%
35463.32 2
 
< 0.1%
21238.89 2
 
< 0.1%
15160.47 2
 
< 0.1%
17059.33 2
 
< 0.1%
Other values (9979) 9980
99.8%
ValueCountFrequency (%)
3716.16 1
< 0.1%
3983.9 1
< 0.1%
4287.06 1
< 0.1%
4311.07 1
< 0.1%
4337.94 1
< 0.1%
4364.68 1
< 0.1%
4393.25 1
< 0.1%
4399.49 1
< 0.1%
4429.7 1
< 0.1%
4432.55 1
< 0.1%
ValueCountFrequency (%)
271887.61 1
< 0.1%
269609.83 1
< 0.1%
269335.82 1
< 0.1%
267166.33 1
< 0.1%
266225.49 1
< 0.1%
265946.49 1
< 0.1%
265840.72 1
< 0.1%
265383.01 1
< 0.1%
265332.91 1
< 0.1%
265331.95 1
< 0.1%

남성 45-49세 유동인구수
Real number (ℝ)

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44578.466
Minimum4336.4
Maximum255425.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:52.154512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4336.4
5-th percentile8569.0015
Q116858.455
median27968.42
Q347712.618
95-th percentile175532.67
Maximum255425.67
Range251089.27
Interquartile range (IQR)30854.162

Descriptive statistics

Standard deviation48207.923
Coefficient of variation (CV)1.0814173
Kurtosis5.167976
Mean44578.466
Median Absolute Deviation (MAD)12551.265
Skewness2.3624356
Sum4.4578466 × 108
Variance2.3240039 × 109
MonotonicityNot monotonic
2024-01-10T07:54:52.277802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17015.17 2
 
< 0.1%
8395.4 2
 
< 0.1%
26501.51 2
 
< 0.1%
17091.02 2
 
< 0.1%
10677.94 2
 
< 0.1%
16669.26 2
 
< 0.1%
8213.55 2
 
< 0.1%
16957.95 2
 
< 0.1%
18946.39 2
 
< 0.1%
16432.34 2
 
< 0.1%
Other values (9973) 9980
99.8%
ValueCountFrequency (%)
4336.4 1
< 0.1%
4430.34 1
< 0.1%
4823.46 1
< 0.1%
4847.65 1
< 0.1%
4876.56 1
< 0.1%
4932.94 1
< 0.1%
4944.84 1
< 0.1%
4956.38 1
< 0.1%
4956.76 1
< 0.1%
4999.05 1
< 0.1%
ValueCountFrequency (%)
255425.67 1
< 0.1%
254654.51 1
< 0.1%
254140.56 1
< 0.1%
253127.27 1
< 0.1%
253034.1 1
< 0.1%
251755.35 1
< 0.1%
251689.91 1
< 0.1%
251535.65 1
< 0.1%
251427.16 1
< 0.1%
251001.22 1
< 0.1%

남성 50-54세 유동인구수
Real number (ℝ)

Distinct9993
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44017.23
Minimum4239.97
Maximum244965.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:52.414878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4239.97
5-th percentile9070.465
Q118208.658
median29551.585
Q348353.588
95-th percentile168116.53
Maximum244965.63
Range240725.66
Interquartile range (IQR)30144.93

Descriptive statistics

Standard deviation45164.281
Coefficient of variation (CV)1.0260591
Kurtosis5.415547
Mean44017.23
Median Absolute Deviation (MAD)13120.735
Skewness2.3815555
Sum4.401723 × 108
Variance2.0398123 × 109
MonotonicityNot monotonic
2024-01-10T07:54:52.577338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24661.13 2
 
< 0.1%
18104.8 2
 
< 0.1%
49858.63 2
 
< 0.1%
48461.81 2
 
< 0.1%
7586.76 2
 
< 0.1%
22192.9 2
 
< 0.1%
15843.76 2
 
< 0.1%
103164.59 1
 
< 0.1%
212019.71 1
 
< 0.1%
33920.73 1
 
< 0.1%
Other values (9983) 9983
99.8%
ValueCountFrequency (%)
4239.97 1
< 0.1%
4731.91 1
< 0.1%
4890.05 1
< 0.1%
4968.01 1
< 0.1%
5068.67 1
< 0.1%
5083.89 1
< 0.1%
5089.0 1
< 0.1%
5139.57 1
< 0.1%
5197.86 1
< 0.1%
5217.55 1
< 0.1%
ValueCountFrequency (%)
244965.63 1
< 0.1%
244562.86 1
< 0.1%
243951.65 1
< 0.1%
243935.19 1
< 0.1%
243842.4 1
< 0.1%
243237.9 1
< 0.1%
242776.18 1
< 0.1%
242380.97 1
< 0.1%
242201.9 1
< 0.1%
241849.24 1
< 0.1%

남성 55-59세 유동인구수
Real number (ℝ)

Distinct9985
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38462.577
Minimum3989.84
Maximum202617.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:52.720741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3989.84
5-th percentile8315.3105
Q118578.105
median27448.165
Q343449.28
95-th percentile137212.97
Maximum202617.52
Range198627.68
Interquartile range (IQR)24871.175

Descriptive statistics

Standard deviation35583.771
Coefficient of variation (CV)0.92515307
Kurtosis5.5326841
Mean38462.577
Median Absolute Deviation (MAD)11589.06
Skewness2.3531919
Sum3.8462577 × 108
Variance1.2662048 × 109
MonotonicityNot monotonic
2024-01-10T07:54:52.846787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44947.77 2
 
< 0.1%
50063.86 2
 
< 0.1%
7370.76 2
 
< 0.1%
10539.89 2
 
< 0.1%
42125.14 2
 
< 0.1%
17037.64 2
 
< 0.1%
27849.61 2
 
< 0.1%
9846.51 2
 
< 0.1%
40030.28 2
 
< 0.1%
15835.77 2
 
< 0.1%
Other values (9975) 9980
99.8%
ValueCountFrequency (%)
3989.84 1
< 0.1%
4640.75 1
< 0.1%
4642.97 1
< 0.1%
4660.82 1
< 0.1%
4678.61 1
< 0.1%
4691.98 1
< 0.1%
4742.08 1
< 0.1%
4745.2 1
< 0.1%
4758.31 1
< 0.1%
4825.75 1
< 0.1%
ValueCountFrequency (%)
202617.52 1
< 0.1%
202049.56 1
< 0.1%
201401.44 1
< 0.1%
201217.19 1
< 0.1%
200707.63 1
< 0.1%
199679.99 1
< 0.1%
199666.84 1
< 0.1%
199574.8 1
< 0.1%
198913.28 1
< 0.1%
198639.65 1
< 0.1%

남성 60-64세 유동인구수
Real number (ℝ)

Distinct9989
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26654.699
Minimum2892.36
Maximum142158.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:52.972305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2892.36
5-th percentile5893.5525
Q114052.087
median20659.33
Q330688.238
95-th percentile84127.417
Maximum142158.51
Range139266.15
Interquartile range (IQR)16636.15

Descriptive statistics

Standard deviation22229.656
Coefficient of variation (CV)0.83398637
Kurtosis5.6599027
Mean26654.699
Median Absolute Deviation (MAD)7780.03
Skewness2.2879982
Sum2.6654699 × 108
Variance4.941576 × 108
MonotonicityNot monotonic
2024-01-10T07:54:53.094376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14149.72 2
 
< 0.1%
14136.58 2
 
< 0.1%
14485.17 2
 
< 0.1%
13072.22 2
 
< 0.1%
18131.32 2
 
< 0.1%
11979.71 2
 
< 0.1%
21235.17 2
 
< 0.1%
25852.74 2
 
< 0.1%
7011.67 2
 
< 0.1%
16480.22 2
 
< 0.1%
Other values (9979) 9980
99.8%
ValueCountFrequency (%)
2892.36 1
< 0.1%
2981.68 1
< 0.1%
3041.99 1
< 0.1%
3093.14 1
< 0.1%
3255.87 1
< 0.1%
3269.22 1
< 0.1%
3278.47 1
< 0.1%
3336.78 1
< 0.1%
3337.44 1
< 0.1%
3351.71 1
< 0.1%
ValueCountFrequency (%)
142158.51 1
< 0.1%
141609.11 1
< 0.1%
140155.67 1
< 0.1%
139968.43 1
< 0.1%
139674.41 1
< 0.1%
138276.93 1
< 0.1%
136066.34 1
< 0.1%
135641.24 1
< 0.1%
135588.98 1
< 0.1%
133928.66 1
< 0.1%

남성 65-69세 유동인구수
Real number (ℝ)

Distinct9975
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18361.947
Minimum1769.19
Maximum90232.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:53.217314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1769.19
5-th percentile3666.871
Q110654.622
median15410.635
Q321338.555
95-th percentile51524.688
Maximum90232.81
Range88463.62
Interquartile range (IQR)10683.933

Descriptive statistics

Standard deviation13587.141
Coefficient of variation (CV)0.73996189
Kurtosis5.3513468
Mean18361.947
Median Absolute Deviation (MAD)5280.99
Skewness2.1162547
Sum1.8361947 × 108
Variance1.8461039 × 108
MonotonicityNot monotonic
2024-01-10T07:54:53.332620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5462.98 2
 
< 0.1%
21362.46 2
 
< 0.1%
18980.06 2
 
< 0.1%
12764.57 2
 
< 0.1%
13999.93 2
 
< 0.1%
13185.77 2
 
< 0.1%
18254.97 2
 
< 0.1%
25839.95 2
 
< 0.1%
22789.04 2
 
< 0.1%
4394.24 2
 
< 0.1%
Other values (9965) 9980
99.8%
ValueCountFrequency (%)
1769.19 1
< 0.1%
1787.13 1
< 0.1%
1795.6 1
< 0.1%
1826.3 1
< 0.1%
1828.34 1
< 0.1%
1860.7 1
< 0.1%
1879.18 1
< 0.1%
1931.04 1
< 0.1%
1945.65 1
< 0.1%
1958.07 1
< 0.1%
ValueCountFrequency (%)
90232.81 1
< 0.1%
90057.87 1
< 0.1%
89877.45 1
< 0.1%
89422.05 1
< 0.1%
88586.21 1
< 0.1%
88331.27 1
< 0.1%
87380.65 1
< 0.1%
85981.44 1
< 0.1%
85536.5 1
< 0.1%
85383.35 1
< 0.1%

남성 70세이상 유동인구수
Real number (ℝ)

Distinct9984
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24631.358
Minimum1653.61
Maximum108969.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:53.458675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1653.61
5-th percentile4274.4025
Q115078.968
median21674.52
Q329288.438
95-th percentile63424.148
Maximum108969.7
Range107316.09
Interquartile range (IQR)14209.47

Descriptive statistics

Standard deviation16552.555
Coefficient of variation (CV)0.67201148
Kurtosis4.6429576
Mean24631.358
Median Absolute Deviation (MAD)7132.5
Skewness1.8879926
Sum2.4631358 × 108
Variance2.7398708 × 108
MonotonicityNot monotonic
2024-01-10T07:54:53.583738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5148.24 2
 
< 0.1%
24537.52 2
 
< 0.1%
26860.54 2
 
< 0.1%
28627.69 2
 
< 0.1%
19152.25 2
 
< 0.1%
30498.48 2
 
< 0.1%
24618.56 2
 
< 0.1%
15556.51 2
 
< 0.1%
23973.39 2
 
< 0.1%
26092.81 2
 
< 0.1%
Other values (9974) 9980
99.8%
ValueCountFrequency (%)
1653.61 1
< 0.1%
1973.64 1
< 0.1%
2007.21 1
< 0.1%
2152.79 1
< 0.1%
2185.62 1
< 0.1%
2223.92 1
< 0.1%
2270.86 1
< 0.1%
2286.71 1
< 0.1%
2314.68 1
< 0.1%
2353.72 1
< 0.1%
ValueCountFrequency (%)
108969.7 1
< 0.1%
107555.42 1
< 0.1%
106676.12 1
< 0.1%
106555.19 1
< 0.1%
106458.2 1
< 0.1%
105436.56 1
< 0.1%
105107.55 1
< 0.1%
104819.23 1
< 0.1%
104407.2 1
< 0.1%
104310.99 1
< 0.1%

여성 10세미만 유동인구수
Real number (ℝ)

Distinct9976
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20363.903
Minimum663.04
Maximum196373.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:53.701705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum663.04
5-th percentile2323.1455
Q15248.2475
median10049.565
Q320641.94
95-th percentile83668.651
Maximum196373.29
Range195710.25
Interquartile range (IQR)15393.692

Descriptive statistics

Standard deviation28233.7
Coefficient of variation (CV)1.3864582
Kurtosis9.8718222
Mean20363.903
Median Absolute Deviation (MAD)5818.295
Skewness2.947312
Sum2.0363903 × 108
Variance7.9714182 × 108
MonotonicityNot monotonic
2024-01-10T07:54:53.831818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12614.62 2
 
< 0.1%
902.08 2
 
< 0.1%
4431.85 2
 
< 0.1%
3694.8 2
 
< 0.1%
2013.54 2
 
< 0.1%
9542.69 2
 
< 0.1%
7858.95 2
 
< 0.1%
11857.04 2
 
< 0.1%
1338.21 2
 
< 0.1%
7943.8 2
 
< 0.1%
Other values (9966) 9980
99.8%
ValueCountFrequency (%)
663.04 1
< 0.1%
723.84 1
< 0.1%
733.85 1
< 0.1%
824.01 1
< 0.1%
883.56 1
< 0.1%
889.77 1
< 0.1%
896.05 1
< 0.1%
897.64 1
< 0.1%
898.76 1
< 0.1%
902.08 2
< 0.1%
ValueCountFrequency (%)
196373.29 1
< 0.1%
192767.12 1
< 0.1%
191460.13 1
< 0.1%
190400.12 1
< 0.1%
190325.68 1
< 0.1%
189616.63 1
< 0.1%
189043.25 1
< 0.1%
188959.48 1
< 0.1%
188597.26 1
< 0.1%
188104.58 1
< 0.1%

여성 10-14세 유동인구수
Real number (ℝ)

Distinct9966
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12366.333
Minimum748.46
Maximum128477.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:53.959264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum748.46
5-th percentile1837.609
Q13805.1275
median7211.88
Q312770.467
95-th percentile49096.018
Maximum128477.45
Range127728.99
Interquartile range (IQR)8965.34

Descriptive statistics

Standard deviation15700.562
Coefficient of variation (CV)1.2696215
Kurtosis8.8928338
Mean12366.333
Median Absolute Deviation (MAD)3784.46
Skewness2.8629638
Sum1.2366333 × 108
Variance2.4650765 × 108
MonotonicityNot monotonic
2024-01-10T07:54:54.083939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1920.52 2
 
< 0.1%
9282.96 2
 
< 0.1%
2904.45 2
 
< 0.1%
3864.57 2
 
< 0.1%
2343.88 2
 
< 0.1%
4186.63 2
 
< 0.1%
2466.63 2
 
< 0.1%
9671.79 2
 
< 0.1%
3013.75 2
 
< 0.1%
2816.58 2
 
< 0.1%
Other values (9956) 9980
99.8%
ValueCountFrequency (%)
748.46 1
< 0.1%
772.73 1
< 0.1%
773.15 1
< 0.1%
779.63 1
< 0.1%
784.62 1
< 0.1%
787.28 1
< 0.1%
788.81 1
< 0.1%
789.23 1
< 0.1%
798.1 1
< 0.1%
801.15 1
< 0.1%
ValueCountFrequency (%)
128477.45 1
< 0.1%
122754.22 1
< 0.1%
115580.68 1
< 0.1%
114699.97 1
< 0.1%
108792.7 1
< 0.1%
105284.52 1
< 0.1%
105132.92 1
< 0.1%
103866.2 1
< 0.1%
102533.72 1
< 0.1%
101384.45 1
< 0.1%

여성 15-19세 유동인구수
Real number (ℝ)

Distinct9978
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20401.535
Minimum1596.33
Maximum222222.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:54.206693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1596.33
5-th percentile3192.18
Q15753.2725
median11374.045
Q320146.632
95-th percentile91301.61
Maximum222222.74
Range220626.41
Interquartile range (IQR)14393.36

Descriptive statistics

Standard deviation27719.176
Coefficient of variation (CV)1.3586809
Kurtosis9.0159783
Mean20401.535
Median Absolute Deviation (MAD)6336.185
Skewness2.957998
Sum2.0401535 × 108
Variance7.6835273 × 108
MonotonicityNot monotonic
2024-01-10T07:54:54.342978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5600.53 2
 
< 0.1%
5661.01 2
 
< 0.1%
6011.71 2
 
< 0.1%
6403.0 2
 
< 0.1%
5316.43 2
 
< 0.1%
5203.45 2
 
< 0.1%
19380.52 2
 
< 0.1%
6146.63 2
 
< 0.1%
18407.27 2
 
< 0.1%
6284.94 2
 
< 0.1%
Other values (9968) 9980
99.8%
ValueCountFrequency (%)
1596.33 1
< 0.1%
1654.53 1
< 0.1%
1659.76 1
< 0.1%
1682.67 1
< 0.1%
1708.77 1
< 0.1%
1710.78 1
< 0.1%
1712.67 1
< 0.1%
1727.93 1
< 0.1%
1760.42 1
< 0.1%
1763.55 1
< 0.1%
ValueCountFrequency (%)
222222.74 1
< 0.1%
187235.37 1
< 0.1%
180166.33 1
< 0.1%
179506.65 1
< 0.1%
178105.75 1
< 0.1%
177009.72 1
< 0.1%
172232.08 1
< 0.1%
171750.85 1
< 0.1%
170529.76 1
< 0.1%
170176.51 1
< 0.1%

여성 20-24세 유동인구수
Real number (ℝ)

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26020.585
Minimum2064.23
Maximum282585.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:54.810993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2064.23
5-th percentile3198.5895
Q15621.1475
median12737.93
Q322459.868
95-th percentile138082.82
Maximum282585.14
Range280520.91
Interquartile range (IQR)16838.72

Descriptive statistics

Standard deviation40577.098
Coefficient of variation (CV)1.559423
Kurtosis9.1946622
Mean26020.585
Median Absolute Deviation (MAD)7751.965
Skewness3.0352739
Sum2.6020585 × 108
Variance1.6465009 × 109
MonotonicityNot monotonic
2024-01-10T07:54:54.924399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3132.47 2
 
< 0.1%
3170.48 2
 
< 0.1%
5231.06 2
 
< 0.1%
9867.44 2
 
< 0.1%
10429.36 2
 
< 0.1%
19334.04 2
 
< 0.1%
6417.49 2
 
< 0.1%
4460.17 2
 
< 0.1%
13154.68 2
 
< 0.1%
9202.36 2
 
< 0.1%
Other values (9973) 9980
99.8%
ValueCountFrequency (%)
2064.23 1
< 0.1%
2083.3 1
< 0.1%
2117.38 1
< 0.1%
2118.89 1
< 0.1%
2151.99 1
< 0.1%
2179.35 1
< 0.1%
2188.13 1
< 0.1%
2202.55 1
< 0.1%
2218.35 1
< 0.1%
2235.06 1
< 0.1%
ValueCountFrequency (%)
282585.14 1
< 0.1%
282099.75 1
< 0.1%
278854.45 1
< 0.1%
268477.94 1
< 0.1%
267840.49 1
< 0.1%
265174.59 1
< 0.1%
260951.69 1
< 0.1%
254022.1 1
< 0.1%
253955.25 1
< 0.1%
253340.78 1
< 0.1%

여성 25-29세 유동인구수
Real number (ℝ)

Distinct9982
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23293.72
Minimum1844.92
Maximum180311.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:55.045096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1844.92
5-th percentile2979.0105
Q15605.7325
median11187.045
Q321772.905
95-th percentile123465.93
Maximum180311.87
Range178466.95
Interquartile range (IQR)16167.172

Descriptive statistics

Standard deviation34322.2
Coefficient of variation (CV)1.4734529
Kurtosis7.1229431
Mean23293.72
Median Absolute Deviation (MAD)6494.24
Skewness2.776045
Sum2.329372 × 108
Variance1.1780134 × 109
MonotonicityNot monotonic
2024-01-10T07:54:55.240188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4308.64 2
 
< 0.1%
13186.67 2
 
< 0.1%
9312.86 2
 
< 0.1%
5454.32 2
 
< 0.1%
3403.5 2
 
< 0.1%
9635.32 2
 
< 0.1%
4312.93 2
 
< 0.1%
3306.48 2
 
< 0.1%
8026.55 2
 
< 0.1%
23475.67 2
 
< 0.1%
Other values (9972) 9980
99.8%
ValueCountFrequency (%)
1844.92 1
< 0.1%
1955.43 1
< 0.1%
2000.89 1
< 0.1%
2005.45 1
< 0.1%
2013.15 1
< 0.1%
2014.6 1
< 0.1%
2020.49 1
< 0.1%
2038.27 1
< 0.1%
2078.45 1
< 0.1%
2086.48 1
< 0.1%
ValueCountFrequency (%)
180311.87 1
< 0.1%
178710.72 1
< 0.1%
178580.34 1
< 0.1%
177777.18 1
< 0.1%
177273.68 1
< 0.1%
176871.74 1
< 0.1%
176851.02 1
< 0.1%
176688.44 1
< 0.1%
175840.11 1
< 0.1%
175477.79 1
< 0.1%

여성 30-34세 유동인구수
Real number (ℝ)

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28494.046
Minimum1896.7
Maximum206331.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:55.424323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1896.7
5-th percentile3338.472
Q17173.8325
median14161.62
Q328342.79
95-th percentile138255.09
Maximum206331.55
Range204434.85
Interquartile range (IQR)21168.958

Descriptive statistics

Standard deviation39651.268
Coefficient of variation (CV)1.3915633
Kurtosis5.9615618
Mean28494.046
Median Absolute Deviation (MAD)7677.83
Skewness2.555722
Sum2.8494046 × 108
Variance1.5722231 × 109
MonotonicityNot monotonic
2024-01-10T07:54:55.586678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17091.26 2
 
< 0.1%
7783.72 2
 
< 0.1%
9973.14 2
 
< 0.1%
7714.22 2
 
< 0.1%
7194.03 2
 
< 0.1%
3239.1 2
 
< 0.1%
6437.24 2
 
< 0.1%
37754.96 2
 
< 0.1%
9344.39 2
 
< 0.1%
2832.99 2
 
< 0.1%
Other values (9973) 9980
99.8%
ValueCountFrequency (%)
1896.7 1
< 0.1%
1949.92 1
< 0.1%
2013.53 1
< 0.1%
2024.44 1
< 0.1%
2053.05 1
< 0.1%
2102.2 1
< 0.1%
2114.4 1
< 0.1%
2116.45 1
< 0.1%
2145.67 1
< 0.1%
2152.67 1
< 0.1%
ValueCountFrequency (%)
206331.55 1
< 0.1%
205662.51 1
< 0.1%
205554.18 1
< 0.1%
203876.74 1
< 0.1%
203037.54 1
< 0.1%
202797.48 1
< 0.1%
202542.0 1
< 0.1%
200746.67 1
< 0.1%
200347.66 1
< 0.1%
199958.52 1
< 0.1%

여성 35-39세 유동인구수
Real number (ℝ)

Distinct9993
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31301.05
Minimum2338.76
Maximum210548.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:55.721383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2338.76
5-th percentile3873.8235
Q18775.7425
median17284.365
Q332762.243
95-th percentile143576.22
Maximum210548.76
Range208210
Interquartile range (IQR)23986.5

Descriptive statistics

Standard deviation40235.602
Coefficient of variation (CV)1.2854394
Kurtosis5.6613151
Mean31301.05
Median Absolute Deviation (MAD)9147.935
Skewness2.4801051
Sum3.130105 × 108
Variance1.6189037 × 109
MonotonicityNot monotonic
2024-01-10T07:54:55.864802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12654.2 2
 
< 0.1%
10443.66 2
 
< 0.1%
19594.67 2
 
< 0.1%
8674.89 2
 
< 0.1%
8371.07 2
 
< 0.1%
17760.78 2
 
< 0.1%
7429.84 2
 
< 0.1%
10563.71 1
 
< 0.1%
19500.07 1
 
< 0.1%
19480.22 1
 
< 0.1%
Other values (9983) 9983
99.8%
ValueCountFrequency (%)
2338.76 1
< 0.1%
2346.42 1
< 0.1%
2347.16 1
< 0.1%
2416.39 1
< 0.1%
2433.47 1
< 0.1%
2443.12 1
< 0.1%
2459.99 1
< 0.1%
2466.36 1
< 0.1%
2483.38 1
< 0.1%
2487.2 1
< 0.1%
ValueCountFrequency (%)
210548.76 1
< 0.1%
209878.75 1
< 0.1%
209559.96 1
< 0.1%
209380.19 1
< 0.1%
208582.15 1
< 0.1%
206176.96 1
< 0.1%
204545.64 1
< 0.1%
203829.87 1
< 0.1%
203564.67 1
< 0.1%
203494.9 1
< 0.1%

여성 40-44세 유동인구수
Real number (ℝ)

Distinct9988
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33902.281
Minimum2532.88
Maximum231897.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:56.008105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2532.88
5-th percentile4972.2965
Q110762.583
median20375.395
Q334175.24
95-th percentile150474.29
Maximum231897.06
Range229364.18
Interquartile range (IQR)23412.657

Descriptive statistics

Standard deviation41797.28
Coefficient of variation (CV)1.2328752
Kurtosis6.6593069
Mean33902.281
Median Absolute Deviation (MAD)10287.865
Skewness2.6348155
Sum3.3902281 × 108
Variance1.7470127 × 109
MonotonicityNot monotonic
2024-01-10T07:54:56.126623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9865.98 2
 
< 0.1%
13555.87 2
 
< 0.1%
17618.72 2
 
< 0.1%
24116.84 2
 
< 0.1%
16100.86 2
 
< 0.1%
11214.43 2
 
< 0.1%
17268.84 2
 
< 0.1%
5198.47 2
 
< 0.1%
10177.25 2
 
< 0.1%
40637.23 2
 
< 0.1%
Other values (9978) 9980
99.8%
ValueCountFrequency (%)
2532.88 1
< 0.1%
2546.42 1
< 0.1%
2624.21 1
< 0.1%
2734.86 1
< 0.1%
2913.35 1
< 0.1%
3021.76 1
< 0.1%
3032.72 1
< 0.1%
3044.43 1
< 0.1%
3069.02 1
< 0.1%
3096.27 1
< 0.1%
ValueCountFrequency (%)
231897.06 1
< 0.1%
231216.54 1
< 0.1%
229805.08 1
< 0.1%
229768.22 1
< 0.1%
229304.85 1
< 0.1%
228465.4 1
< 0.1%
227975.47 1
< 0.1%
226695.97 1
< 0.1%
225860.13 1
< 0.1%
225697.3 1
< 0.1%

여성 45-49세 유동인구수
Real number (ℝ)

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33262.228
Minimum2943.18
Maximum225542.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:56.254995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2943.18
5-th percentile5548.39
Q111496.693
median20693.145
Q333658.75
95-th percentile148641.38
Maximum225542.22
Range222599.04
Interquartile range (IQR)22162.057

Descriptive statistics

Standard deviation40057.503
Coefficient of variation (CV)1.204294
Kurtosis7.2667757
Mean33262.228
Median Absolute Deviation (MAD)9891.795
Skewness2.7410468
Sum3.3262228 × 108
Variance1.6046035 × 109
MonotonicityNot monotonic
2024-01-10T07:54:56.381945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11173.46 2
 
< 0.1%
16405.75 2
 
< 0.1%
23166.36 2
 
< 0.1%
4469.64 2
 
< 0.1%
22857.15 2
 
< 0.1%
10752.32 2
 
< 0.1%
9408.49 2
 
< 0.1%
14809.12 2
 
< 0.1%
18841.49 2
 
< 0.1%
22786.38 2
 
< 0.1%
Other values (9973) 9980
99.8%
ValueCountFrequency (%)
2943.18 1
< 0.1%
2996.64 1
< 0.1%
3061.39 1
< 0.1%
3169.75 1
< 0.1%
3212.66 1
< 0.1%
3295.74 1
< 0.1%
3300.49 1
< 0.1%
3307.5 1
< 0.1%
3360.04 1
< 0.1%
3460.43 1
< 0.1%
ValueCountFrequency (%)
225542.22 1
< 0.1%
224450.97 1
< 0.1%
224075.95 1
< 0.1%
223774.11 1
< 0.1%
222992.64 1
< 0.1%
222236.46 1
< 0.1%
221465.97 1
< 0.1%
220451.61 1
< 0.1%
220031.7 1
< 0.1%
219746.54 1
< 0.1%

여성 50-54세 유동인구수
Real number (ℝ)

Distinct9981
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32203.495
Minimum2780.12
Maximum197161.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:56.501618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2780.12
5-th percentile6506.3595
Q112919.842
median22469.54
Q334197.515
95-th percentile131459.91
Maximum197161.88
Range194381.76
Interquartile range (IQR)21277.673

Descriptive statistics

Standard deviation34301.44
Coefficient of variation (CV)1.0651465
Kurtosis7.0436613
Mean32203.495
Median Absolute Deviation (MAD)10196.425
Skewness2.6704405
Sum3.2203495 × 108
Variance1.1765888 × 109
MonotonicityNot monotonic
2024-01-10T07:54:56.643426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5912.74 2
 
< 0.1%
17038.14 2
 
< 0.1%
24832.46 2
 
< 0.1%
12920.24 2
 
< 0.1%
11910.54 2
 
< 0.1%
14088.12 2
 
< 0.1%
13773.23 2
 
< 0.1%
14665.83 2
 
< 0.1%
12766.95 2
 
< 0.1%
31166.87 2
 
< 0.1%
Other values (9971) 9980
99.8%
ValueCountFrequency (%)
2780.12 1
< 0.1%
3479.35 1
< 0.1%
3557.33 1
< 0.1%
3620.51 1
< 0.1%
3626.99 1
< 0.1%
3660.23 1
< 0.1%
3696.78 1
< 0.1%
3757.85 1
< 0.1%
3789.9 1
< 0.1%
3812.06 1
< 0.1%
ValueCountFrequency (%)
197161.88 1
< 0.1%
196241.26 1
< 0.1%
195983.49 1
< 0.1%
195054.87 1
< 0.1%
194873.57 1
< 0.1%
194043.06 1
< 0.1%
193829.07 1
< 0.1%
192861.4 1
< 0.1%
192485.31 1
< 0.1%
192475.98 1
< 0.1%

여성 55-59세 유동인구수
Real number (ℝ)

Distinct9989
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29540.57
Minimum3105.07
Maximum164074.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:56.799016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3105.07
5-th percentile6531.1095
Q114252.525
median21730.955
Q332510.95
95-th percentile105922.53
Maximum164074.52
Range160969.45
Interquartile range (IQR)18258.425

Descriptive statistics

Standard deviation27341.816
Coefficient of variation (CV)0.92556833
Kurtosis6.6471661
Mean29540.57
Median Absolute Deviation (MAD)8779.42
Skewness2.5374703
Sum2.954057 × 108
Variance7.475749 × 108
MonotonicityNot monotonic
2024-01-10T07:54:56.956341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30076.56 2
 
< 0.1%
52321.31 2
 
< 0.1%
18002.26 2
 
< 0.1%
22135.46 2
 
< 0.1%
13695.61 2
 
< 0.1%
21313.21 2
 
< 0.1%
16329.65 2
 
< 0.1%
6715.46 2
 
< 0.1%
26989.56 2
 
< 0.1%
6477.31 2
 
< 0.1%
Other values (9979) 9980
99.8%
ValueCountFrequency (%)
3105.07 1
< 0.1%
3580.06 1
< 0.1%
3589.69 1
< 0.1%
3641.57 1
< 0.1%
3701.22 1
< 0.1%
3725.26 1
< 0.1%
3753.51 1
< 0.1%
3822.79 1
< 0.1%
3834.51 1
< 0.1%
3849.52 1
< 0.1%
ValueCountFrequency (%)
164074.52 1
< 0.1%
162598.1 1
< 0.1%
162050.56 1
< 0.1%
161403.74 1
< 0.1%
161388.78 1
< 0.1%
161360.59 1
< 0.1%
161241.19 1
< 0.1%
159676.28 1
< 0.1%
159323.76 1
< 0.1%
158941.76 1
< 0.1%

여성 60-64세 유동인구수
Real number (ℝ)

Distinct9978
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21310.544
Minimum2164.36
Maximum113651.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:57.099446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2164.36
5-th percentile4514.315
Q111435.685
median17229.32
Q323890.528
95-th percentile67929.793
Maximum113651.79
Range111487.43
Interquartile range (IQR)12454.842

Descriptive statistics

Standard deviation17738.902
Coefficient of variation (CV)0.83240026
Kurtosis6.3414978
Mean21310.544
Median Absolute Deviation (MAD)6156.22
Skewness2.4015652
Sum2.1310544 × 108
Variance3.1466865 × 108
MonotonicityNot monotonic
2024-01-10T07:54:57.226816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12955.48 2
 
< 0.1%
14120.32 2
 
< 0.1%
13038.78 2
 
< 0.1%
17654.57 2
 
< 0.1%
5182.58 2
 
< 0.1%
11809.77 2
 
< 0.1%
14924.65 2
 
< 0.1%
27459.17 2
 
< 0.1%
9655.86 2
 
< 0.1%
4635.0 2
 
< 0.1%
Other values (9968) 9980
99.8%
ValueCountFrequency (%)
2164.36 1
< 0.1%
2318.71 1
< 0.1%
2544.61 1
< 0.1%
2549.18 1
< 0.1%
2582.62 1
< 0.1%
2611.38 1
< 0.1%
2628.05 1
< 0.1%
2631.26 1
< 0.1%
2668.21 1
< 0.1%
2695.46 1
< 0.1%
ValueCountFrequency (%)
113651.79 1
< 0.1%
113155.21 1
< 0.1%
112927.34 1
< 0.1%
112655.19 1
< 0.1%
111966.87 1
< 0.1%
110268.32 1
< 0.1%
109742.33 1
< 0.1%
109714.79 1
< 0.1%
108217.88 1
< 0.1%
107806.9 1
< 0.1%

여성 65-69세 유동인구수
Real number (ℝ)

Distinct9975
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15538.15
Minimum1476.58
Maximum80468.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:57.351873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1476.58
5-th percentile3020.8795
Q18847.82
median12835.78
Q317792.04
95-th percentile45241.813
Maximum80468.62
Range78992.04
Interquartile range (IQR)8944.22

Descriptive statistics

Standard deviation12143.159
Coefficient of variation (CV)0.78150608
Kurtosis6.0657098
Mean15538.15
Median Absolute Deviation (MAD)4404.815
Skewness2.270986
Sum1.553815 × 108
Variance1.4745631 × 108
MonotonicityNot monotonic
2024-01-10T07:54:57.480447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14933.39 2
 
< 0.1%
17543.34 2
 
< 0.1%
17771.97 2
 
< 0.1%
7074.27 2
 
< 0.1%
9576.47 2
 
< 0.1%
3864.73 2
 
< 0.1%
16779.19 2
 
< 0.1%
12125.73 2
 
< 0.1%
18578.84 2
 
< 0.1%
11650.57 2
 
< 0.1%
Other values (9965) 9980
99.8%
ValueCountFrequency (%)
1476.58 1
< 0.1%
1491.53 1
< 0.1%
1501.66 1
< 0.1%
1511.99 1
< 0.1%
1521.17 1
< 0.1%
1521.84 1
< 0.1%
1577.3 1
< 0.1%
1602.07 1
< 0.1%
1608.37 1
< 0.1%
1619.33 1
< 0.1%
ValueCountFrequency (%)
80468.62 1
< 0.1%
80044.47 1
< 0.1%
80031.74 1
< 0.1%
79129.42 1
< 0.1%
79040.1 1
< 0.1%
78497.79 1
< 0.1%
77463.16 1
< 0.1%
76913.03 1
< 0.1%
76743.23 1
< 0.1%
76302.98 1
< 0.1%

여성 70세이상 유동인구수
Real number (ℝ)

Distinct9991
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31248.792
Minimum2727.96
Maximum150969.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:54:57.606445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2727.96
5-th percentile6358.487
Q118850.915
median26632.29
Q336407.573
95-th percentile86435.368
Maximum150969.82
Range148241.86
Interquartile range (IQR)17556.658

Descriptive statistics

Standard deviation22000.883
Coefficient of variation (CV)0.70405547
Kurtosis5.311166
Mean31248.792
Median Absolute Deviation (MAD)8779.815
Skewness2.0831732
Sum3.1248792 × 108
Variance4.8403885 × 108
MonotonicityNot monotonic
2024-01-10T07:54:57.733314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37102.26 2
 
< 0.1%
34537.37 2
 
< 0.1%
19024.52 2
 
< 0.1%
27414.1 2
 
< 0.1%
23713.15 2
 
< 0.1%
25777.04 2
 
< 0.1%
20181.49 2
 
< 0.1%
32090.32 2
 
< 0.1%
24322.2 2
 
< 0.1%
10966.38 1
 
< 0.1%
Other values (9981) 9981
99.8%
ValueCountFrequency (%)
2727.96 1
< 0.1%
2873.28 1
< 0.1%
2955.36 1
< 0.1%
2998.12 1
< 0.1%
3151.43 1
< 0.1%
3169.52 1
< 0.1%
3223.33 1
< 0.1%
3283.19 1
< 0.1%
3314.49 1
< 0.1%
3322.99 1
< 0.1%
ValueCountFrequency (%)
150969.82 1
< 0.1%
142863.91 1
< 0.1%
141651.73 1
< 0.1%
141405.03 1
< 0.1%
140971.57 1
< 0.1%
140513.47 1
< 0.1%
140374.96 1
< 0.1%
140104.23 1
< 0.1%
140011.99 1
< 0.1%
139096.64 1
< 0.1%

Sample

기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
1776320220330청양군1586.111020.243417.45569.714086.495101.166070.897690.958638.989521.029770.958237.426264.289206.791916.841075.283051.222774.632713.542859.292937.514255.144954.55819.197160.165413.714289.9210966.38
1235020210403예산군10095.735578.359336.9114410.7713589.2115260.618168.4923073.1724474.5927233.526887.1619929.0715099.3821101.818455.145350.928302.6510566.739949.3512663.8214199.4417275.6418655.9821783.9722344.3717498.5711864.0225793.88
2358220230422서천군10428.635403.46310.646915.217331.239281.8313047.8316959.6717424.019367.9420667.4917151.1814954.4920957.999736.244843.934819.394739.345554.517992.4910927.6113499.2514021.2915967.1218847.9116671.0313328.5126798.96
1436420210815아산시49095.126158.4847146.4867873.5569789.7192002.8697751.594595.2983689.7874857.4661488.5739775.8525627.8234151.3848406.824913.6344800.1565419.761575.0580126.3177605.2174075.8865810.4558303.2651262.235407.624485.5244085.13
2491020230719서산시39393.722889.8235796.6535712.4440277.6850711.8956412.1263725.3765148.6160524.7451068.5536878.9326665.035369.0140098.9521349.9631653.6923659.9826424.7738123.5347880.8452159.5148732.144849.8840214.9929245.6822695.5845591.34
316120190730논산시13511.469450.718143.8621678.6521363.0425311.1728002.735626.8537882.0640516.738225.0925491.4317533.2726207.4413707.099091.814850.3418462.2715160.4317676.921295.2826090.9427716.1128680.4926886.8519761.8514164.8635102.31
648220200308서천군4772.732798.924056.755335.285544.917032.138603.029903.3411199.412469.3613539.0510685.398320.9612093.583947.962502.793607.793871.883999.645327.86987.557506.917971.649467.1810919.858950.487089.6415899.64
1682720220126계룡시2930.835613.418185.157514.766402.028246.889894.1214112.8915768.0714013.349882.066805.193943.254500.943659.916142.07107.694963.173874.156195.538391.5113249.9213073.310200.928166.485167.923014.196530.5
709820200418청양군2399.121614.982831.654332.723313.545000.125566.77050.198039.099548.469874.487367.465088.18263.862334.331424.262578.622702.052536.583281.413614.934533.085155.456729.637620.835297.233945.4110088.63
46120190131논산시7428.136672.6616539.2122549.1821401.1726629.9627380.9829949.7532017.1232386.4832067.7621359.1413402.6215092.958651.168375.5715248.7221895.817433.3117251.8320083.5820342.7720801.0823387.3120745.3615060.5210383.5318850.15
기준년월일시군구명남성 10세미만 유동인구수남성 10-14세 유동인구수남성 15-19세 유동인구수남성 20-24세 유동인구수남성 25-29세 유동인구수남성 30-34세 유동인구수남성 35-39세 유동인구수남성 40-44세 유동인구수남성 45-49세 유동인구수남성 50-54세 유동인구수남성 55-59세 유동인구수남성 60-64세 유동인구수남성 65-69세 유동인구수남성 70세이상 유동인구수여성 10세미만 유동인구수여성 10-14세 유동인구수여성 15-19세 유동인구수여성 20-24세 유동인구수여성 25-29세 유동인구수여성 30-34세 유동인구수여성 35-39세 유동인구수여성 40-44세 유동인구수여성 45-49세 유동인구수여성 50-54세 유동인구수여성 55-59세 유동인구수여성 60-64세 유동인구수여성 65-69세 유동인구수여성 70세이상 유동인구수
1532420211018아산시66003.7626034.9559080.5485088.9493052.29132712.08145338.65146653.21128922.71120081.9295467.0658697.0737538.0246885.3969019.3627465.254964.2876427.8867047.092704.1397263.492281.7181819.1171249.261513.5441781.3230346.8258103.61
787720200609서천군3569.792432.853969.226031.277418.4710773.5411796.4814848.0916524.2218075.6618345.4214136.5811363.2517180.153019.752265.684031.033268.784457.95416.296857.348475.359524.5911435.413224.5311542.598958.8520181.49
2176720221222서천군4836.743251.357133.177226.997295.559177.2110884.613183.5213662.8514765.6314693.910924.648517.4112586.874429.493382.685990.94362.434370.315431.256992.898765.379621.0210187.5212123.479376.147683.7718394.13
2145020221201천안시124102.7262744.27146791.02189292.96169961.3204087.09206886.62216930.63206417.7195655.78157508.33100332.5362354.9775645.47123949.863791.27133343.85186519.07141710.25163509.08168672.2182755.03177995.19153434.62122924.179967.4454857.36100539.5
1966920220804홍성군13523.548372.115405.1418374.7316103.1518579.9220921.2927766.0629330.7430635.6927272.8320505.715132.3620923.9514747.918250.214199.315821.3911649.0314622.5718687.6822731.6723238.8224354.9121139.3116722.4612503.725474.07
1080820201221보령시9116.536280.8611630.6213364.4517164.5919945.4623884.0527562.9328133.5429987.3127629.5320309.3414921.9619845.639632.975979.749366.9710082.510504.6413136.5115828.3118600.9818814.7120743.1922108.7116934.2212879.9225379.22
2636720231024계룡시8984.195568.396923.67704.07464.678394.711588.3514776.2316409.1413869.310188.436955.414719.825714.079251.785344.546464.144853.195590.77537.6810468.4114210.0713784.610547.189374.326393.623990.688567.18
1125420210120홍성군5089.699642.0111587.515809.2513160.6416073.4718328.1323479.1125585.7227340.7223721.7918948.113643.720827.35342.068764.339945.9612620.09787.5311164.5815078.2517663.0718758.2120145.1816761.5615798.8410956.1624658.37
405720190928공주시27610.0618869.6728988.7238963.4236267.6344239.8348732.1256266.1457830.0461374.8557249.9839172.5925563.3633981.8427681.8217513.0326638.0740876.6733630.737980.9844125.7247058.0348053.8453336.5749611.3333728.3522766.8446874.85
405120190928부여군8227.165684.277439.428341.858851.6811636.2314586.5317832.1319677.820642.7521164.7915352.2911823.5718503.087518.535084.635426.746859.038330.710074.8112721.914353.6813276.4216238.4617483.8213401.869971.8522864.96