Overview

Dataset statistics

Number of variables27
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.4 KiB
Average record size in memory238.6 B

Variable types

Numeric22
Categorical5

Dataset

Description전주시의 동과 연령대별로 인구수를 기록함. 완산구와 덕진구를 구분하였음.법률이나 규정 따위의 낱낱의 조나 항, 동으로 행정 기관의 권한이 미치는 범위의 일정한 구역을 나눔
Author전북특별자치도
URLhttps://www.data.go.kr/data/15051360/fileData.do

Alerts

행정구역(동읍면)별(1) has constant value ""Constant
행정구역(동읍면)별(2) has constant value ""Constant
항목 has constant value ""Constant
95 - 99세 has 2 (1.0%) zerosZeros
100- has 82 (41.2%) zerosZeros

Reproduction

Analysis started2024-03-14 16:54:43.311768
Analysis finished2024-03-14 16:54:43.711916
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시점
Real number (ℝ)

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.5025
Minimum2005
Maximum2010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:43.924977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2005
Q12006
median2008
Q32009
95-th percentile2010
Maximum2010
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7081929
Coefficient of variation (CV)0.00085090448
Kurtosis-1.2627811
Mean2007.5025
Median Absolute Deviation (MAD)1
Skewness-0.0043295258
Sum399493
Variance2.9179229
MonotonicityIncreasing
2024-03-15T01:54:44.322669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2008 34
17.1%
2005 33
16.6%
2006 33
16.6%
2007 33
16.6%
2009 33
16.6%
2010 33
16.6%
ValueCountFrequency (%)
2005 33
16.6%
2006 33
16.6%
2007 33
16.6%
2008 34
17.1%
2009 33
16.6%
2010 33
16.6%
ValueCountFrequency (%)
2010 33
16.6%
2009 33
16.6%
2008 34
17.1%
2007 33
16.6%
2006 33
16.6%
2005 33
16.6%

행정구역(동읍면)별(1)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
전라북도
199 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 199
100.0%

Length

2024-03-15T01:54:44.716222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:45.034896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 199
100.0%

행정구역(동읍면)별(2)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
전주시
199 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 199
100.0%

Length

2024-03-15T01:54:45.446741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:45.773751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 199
100.0%

행정구역(동읍면)별(3)
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
완산구
108 
덕진구
91 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완산구 108
54.3%
덕진구 91
45.7%

Length

2024-03-15T01:54:46.118812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:46.299545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완산구 108
54.3%
덕진구 91
45.7%

행정구역(동읍면)별(4)
Categorical

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중앙동
 
6
평화1동
 
6
효자2동
 
6
효자1동
 
6
삼천3동
 
6
Other values (29)
169 

Length

Max length5
Median length4
Mean length3.718593
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row중앙동
2nd row풍남동
3rd row노송동
4th row완산동
5th row동서학동

Common Values

ValueCountFrequency (%)
중앙동 6
 
3.0%
평화1동 6
 
3.0%
효자2동 6
 
3.0%
효자1동 6
 
3.0%
삼천3동 6
 
3.0%
삼천2동 6
 
3.0%
삼천1동 6
 
3.0%
평화2동 6
 
3.0%
서신동 6
 
3.0%
팔복동 6
 
3.0%
Other values (24) 139
69.8%

Length

2024-03-15T01:54:46.521583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중앙동 6
 
3.0%
풍남동 6
 
3.0%
동산동 6
 
3.0%
조촌동 6
 
3.0%
송천2동 6
 
3.0%
송천1동 6
 
3.0%
호성동 6
 
3.0%
우아2동 6
 
3.0%
우아1동 6
 
3.0%
평화1동 6
 
3.0%
Other values (24) 139
69.8%

항목
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
인구
199 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인구 199
100.0%

Length

2024-03-15T01:54:46.787374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:47.112379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인구 199
100.0%

0 - 4세
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean989.34171
Minimum173
Maximum14036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:47.497285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173
5-th percentile218
Q1492
median681
Q31149
95-th percentile2626.3
Maximum14036
Range13863
Interquartile range (IQR)657

Descriptive statistics

Standard deviation1168.226
Coefficient of variation (CV)1.1808114
Kurtosis78.4486
Mean989.34171
Median Absolute Deviation (MAD)244
Skewness7.3778796
Sum196879
Variance1364752
MonotonicityNot monotonic
2024-03-15T01:54:47.971821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604 3
 
1.5%
1149 2
 
1.0%
734 2
 
1.0%
267 2
 
1.0%
218 2
 
1.0%
444 2
 
1.0%
618 2
 
1.0%
452 2
 
1.0%
757 2
 
1.0%
506 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
173 1
0.5%
177 1
0.5%
183 1
0.5%
191 1
0.5%
205 1
0.5%
211 1
0.5%
212 1
0.5%
214 1
0.5%
216 1
0.5%
218 2
1.0%
ValueCountFrequency (%)
14036 1
0.5%
3038 1
0.5%
2948 1
0.5%
2914 1
0.5%
2830 1
0.5%
2794 1
0.5%
2753 1
0.5%
2727 1
0.5%
2696 1
0.5%
2656 1
0.5%

5 - 9세
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1359.4673
Minimum203
Maximum18125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:48.456877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203
5-th percentile293.7
Q1579
median837
Q31670.5
95-th percentile3536.3
Maximum18125
Range17922
Interquartile range (IQR)1091.5

Descriptive statistics

Standard deviation1574.272
Coefficient of variation (CV)1.1580065
Kurtosis64.568228
Mean1359.4673
Median Absolute Deviation (MAD)391
Skewness6.4771988
Sum270534
Variance2478332.2
MonotonicityNot monotonic
2024-03-15T01:54:48.951410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
762 3
 
1.5%
713 3
 
1.5%
754 2
 
1.0%
407 2
 
1.0%
507 2
 
1.0%
768 2
 
1.0%
644 2
 
1.0%
729 2
 
1.0%
1020 2
 
1.0%
427 1
 
0.5%
Other values (178) 178
89.4%
ValueCountFrequency (%)
203 1
0.5%
205 1
0.5%
238 1
0.5%
239 1
0.5%
241 1
0.5%
268 1
0.5%
269 1
0.5%
281 1
0.5%
282 1
0.5%
291 1
0.5%
ValueCountFrequency (%)
18125 1
0.5%
4590 1
0.5%
4369 1
0.5%
4094 1
0.5%
4088 1
0.5%
4053 1
0.5%
3851 1
0.5%
3787 1
0.5%
3624 1
0.5%
3557 1
0.5%

10 - 14세
Real number (ℝ)

Distinct193
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1705.1005
Minimum309
Maximum22569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:49.324558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum309
5-th percentile421.7
Q1806
median1116
Q32111
95-th percentile4172.5
Maximum22569
Range22260
Interquartile range (IQR)1305

Descriptive statistics

Standard deviation1895.6007
Coefficient of variation (CV)1.1117238
Kurtosis73.864374
Mean1705.1005
Median Absolute Deviation (MAD)491
Skewness7.0485833
Sum339315
Variance3593302.1
MonotonicityNot monotonic
2024-03-15T01:54:49.918769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1505 2
 
1.0%
1005 2
 
1.0%
810 2
 
1.0%
1704 2
 
1.0%
437 2
 
1.0%
429 2
 
1.0%
2568 1
 
0.5%
1016 1
 
0.5%
2242 1
 
0.5%
3645 1
 
0.5%
Other values (183) 183
92.0%
ValueCountFrequency (%)
309 1
0.5%
321 1
0.5%
348 1
0.5%
350 1
0.5%
370 1
0.5%
383 1
0.5%
392 1
0.5%
407 1
0.5%
416 1
0.5%
419 1
0.5%
ValueCountFrequency (%)
22569 1
0.5%
5045 1
0.5%
5044 1
0.5%
5021 1
0.5%
4903 1
0.5%
4783 1
0.5%
4759 1
0.5%
4657 1
0.5%
4332 1
0.5%
4231 1
0.5%

15 - 19세
Real number (ℝ)

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1577.3668
Minimum410
Maximum21191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:50.168643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410
5-th percentile444.9
Q1823
median1158
Q31929
95-th percentile3676.7
Maximum21191
Range20781
Interquartile range (IQR)1106

Descriptive statistics

Standard deviation1669.6843
Coefficient of variation (CV)1.0585263
Kurtosis96.413705
Mean1577.3668
Median Absolute Deviation (MAD)416
Skewness8.4302728
Sum313896
Variance2787845.7
MonotonicityNot monotonic
2024-03-15T01:54:50.416717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1418 2
 
1.0%
1360 2
 
1.0%
792 2
 
1.0%
742 2
 
1.0%
1368 2
 
1.0%
2413 1
 
0.5%
1940 1
 
0.5%
1837 1
 
0.5%
1183 1
 
0.5%
3018 1
 
0.5%
Other values (184) 184
92.5%
ValueCountFrequency (%)
410 1
0.5%
418 1
0.5%
423 1
0.5%
426 1
0.5%
433 1
0.5%
435 1
0.5%
436 1
0.5%
437 1
0.5%
438 1
0.5%
444 1
0.5%
ValueCountFrequency (%)
21191 1
0.5%
4383 1
0.5%
4314 1
0.5%
4159 1
0.5%
4068 1
0.5%
4012 1
0.5%
3807 1
0.5%
3805 1
0.5%
3741 1
0.5%
3719 1
0.5%

20 - 24세
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1453.4171
Minimum405
Maximum18945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:50.686907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum405
5-th percentile629.9
Q11008
median1225
Q31609
95-th percentile2941.8
Maximum18945
Range18540
Interquartile range (IQR)601

Descriptive statistics

Standard deviation1382.8125
Coefficient of variation (CV)0.95142168
Kurtosis130.39428
Mean1453.4171
Median Absolute Deviation (MAD)294
Skewness10.400555
Sum289230
Variance1912170.5
MonotonicityNot monotonic
2024-03-15T01:54:51.055883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010 2
 
1.0%
1175 2
 
1.0%
921 2
 
1.0%
1062 2
 
1.0%
1110 2
 
1.0%
1506 2
 
1.0%
1199 2
 
1.0%
1713 2
 
1.0%
1008 2
 
1.0%
1273 2
 
1.0%
Other values (174) 179
89.9%
ValueCountFrequency (%)
405 1
0.5%
439 1
0.5%
469 1
0.5%
473 1
0.5%
520 1
0.5%
526 1
0.5%
554 1
0.5%
573 1
0.5%
611 1
0.5%
629 1
0.5%
ValueCountFrequency (%)
18945 1
0.5%
3613 1
0.5%
3329 1
0.5%
3098 1
0.5%
3066 1
0.5%
3060 1
0.5%
3042 1
0.5%
3010 1
0.5%
3008 1
0.5%
3003 1
0.5%

25 - 29세
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1516.9648
Minimum509
Maximum22192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:51.319736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum509
5-th percentile710.6
Q11148.5
median1291
Q31503.5
95-th percentile2881.2
Maximum22192
Range21683
Interquartile range (IQR)355

Descriptive statistics

Standard deviation1581.6096
Coefficient of variation (CV)1.0426146
Kurtosis149.04894
Mean1516.9648
Median Absolute Deviation (MAD)184
Skewness11.446369
Sum301876
Variance2501489
MonotonicityNot monotonic
2024-03-15T01:54:51.593049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1179 2
 
1.0%
1246 2
 
1.0%
1334 2
 
1.0%
1312 2
 
1.0%
1196 2
 
1.0%
1257 2
 
1.0%
1376 2
 
1.0%
1411 2
 
1.0%
1216 2
 
1.0%
1277 2
 
1.0%
Other values (173) 179
89.9%
ValueCountFrequency (%)
509 1
0.5%
532 1
0.5%
546 1
0.5%
601 1
0.5%
636 1
0.5%
638 1
0.5%
655 1
0.5%
686 1
0.5%
695 1
0.5%
707 1
0.5%
ValueCountFrequency (%)
22192 1
0.5%
3387 1
0.5%
3273 1
0.5%
3198 1
0.5%
3138 1
0.5%
3069 1
0.5%
3066 1
0.5%
2981 1
0.5%
2899 1
0.5%
2883 1
0.5%

30 - 34세
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1561.2714
Minimum463
Maximum21850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:51.835151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum463
5-th percentile615.3
Q1960
median1165
Q31634.5
95-th percentile3635.6
Maximum21850
Range21387
Interquartile range (IQR)674.5

Descriptive statistics

Standard deviation1688.2476
Coefficient of variation (CV)1.0813288
Kurtosis105.86073
Mean1561.2714
Median Absolute Deviation (MAD)264
Skewness9.0436026
Sum310693
Variance2850180
MonotonicityNot monotonic
2024-03-15T01:54:52.217186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1159 3
 
1.5%
1012 3
 
1.5%
1272 2
 
1.0%
992 2
 
1.0%
1105 2
 
1.0%
1795 2
 
1.0%
981 2
 
1.0%
716 2
 
1.0%
1273 2
 
1.0%
1289 1
 
0.5%
Other values (178) 178
89.4%
ValueCountFrequency (%)
463 1
0.5%
483 1
0.5%
512 1
0.5%
520 1
0.5%
527 1
0.5%
568 1
0.5%
570 1
0.5%
572 1
0.5%
592 1
0.5%
609 1
0.5%
ValueCountFrequency (%)
21850 1
0.5%
4328 1
0.5%
4226 1
0.5%
4058 1
0.5%
4028 1
0.5%
4026 1
0.5%
3876 1
0.5%
3855 1
0.5%
3749 1
0.5%
3695 1
0.5%

35 - 39세
Real number (ℝ)

Distinct190
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1810.0854
Minimum524
Maximum25180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:52.547778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum524
5-th percentile577.8
Q1987
median1219
Q32031
95-th percentile4444.9
Maximum25180
Range24656
Interquartile range (IQR)1044

Descriptive statistics

Standard deviation2036.7115
Coefficient of variation (CV)1.1252019
Kurtosis87.612769
Mean1810.0854
Median Absolute Deviation (MAD)376
Skewness7.9392244
Sum360207
Variance4148193.9
MonotonicityNot monotonic
2024-03-15T01:54:52.821469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1339 3
 
1.5%
1424 2
 
1.0%
1032 2
 
1.0%
1132 2
 
1.0%
936 2
 
1.0%
1101 2
 
1.0%
524 2
 
1.0%
1138 2
 
1.0%
579 1
 
0.5%
2562 1
 
0.5%
Other values (180) 180
90.5%
ValueCountFrequency (%)
524 2
1.0%
525 1
0.5%
537 1
0.5%
551 1
0.5%
552 1
0.5%
562 1
0.5%
566 1
0.5%
575 1
0.5%
576 1
0.5%
578 1
0.5%
ValueCountFrequency (%)
25180 1
0.5%
5182 1
0.5%
5125 1
0.5%
5027 1
0.5%
5025 1
0.5%
4922 1
0.5%
4916 1
0.5%
4602 1
0.5%
4537 1
0.5%
4498 1
0.5%

40 - 44세
Real number (ℝ)

Distinct191
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1758.2864
Minimum496
Maximum23642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:53.066304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum496
5-th percentile542.7
Q1965.5
median1178
Q32085
95-th percentile4121.9
Maximum23642
Range23146
Interquartile range (IQR)1119.5

Descriptive statistics

Standard deviation1896.409
Coefficient of variation (CV)1.0785552
Kurtosis89.65543
Mean1758.2864
Median Absolute Deviation (MAD)412
Skewness8.0439418
Sum349899
Variance3596367.1
MonotonicityNot monotonic
2024-03-15T01:54:53.470119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
896 3
 
1.5%
1614 2
 
1.0%
1328 2
 
1.0%
1178 2
 
1.0%
2719 2
 
1.0%
1064 2
 
1.0%
1161 2
 
1.0%
763 1
 
0.5%
3478 1
 
0.5%
2677 1
 
0.5%
Other values (181) 181
91.0%
ValueCountFrequency (%)
496 1
0.5%
497 1
0.5%
498 1
0.5%
516 1
0.5%
524 1
0.5%
528 1
0.5%
529 1
0.5%
535 1
0.5%
536 1
0.5%
540 1
0.5%
ValueCountFrequency (%)
23642 1
0.5%
5029 1
0.5%
4931 1
0.5%
4780 1
0.5%
4647 1
0.5%
4596 1
0.5%
4591 1
0.5%
4577 1
0.5%
4165 1
0.5%
4148 1
0.5%

45 - 49세
Real number (ℝ)

Distinct189
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1707.6181
Minimum517
Maximum23504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:53.874291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum517
5-th percentile640.8
Q11026
median1316
Q31918
95-th percentile3851.3
Maximum23504
Range22987
Interquartile range (IQR)892

Descriptive statistics

Standard deviation1774.7111
Coefficient of variation (CV)1.0392904
Kurtosis115.62435
Mean1707.6181
Median Absolute Deviation (MAD)393
Skewness9.5693088
Sum339816
Variance3149599.5
MonotonicityNot monotonic
2024-03-15T01:54:54.342071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
936 2
 
1.0%
1844 2
 
1.0%
1149 2
 
1.0%
1154 2
 
1.0%
1308 2
 
1.0%
887 2
 
1.0%
1180 2
 
1.0%
1512 2
 
1.0%
984 2
 
1.0%
1191 2
 
1.0%
Other values (179) 179
89.9%
ValueCountFrequency (%)
517 1
0.5%
520 1
0.5%
527 1
0.5%
530 1
0.5%
541 1
0.5%
545 1
0.5%
564 1
0.5%
584 1
0.5%
600 1
0.5%
630 1
0.5%
ValueCountFrequency (%)
23504 1
0.5%
4215 1
0.5%
4185 1
0.5%
4160 1
0.5%
4120 1
0.5%
4067 1
0.5%
4054 1
0.5%
4034 1
0.5%
3951 1
0.5%
3890 1
0.5%

50 - 54세
Real number (ℝ)

Distinct189
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1347.9246
Minimum559
Maximum18169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:54.779109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile640.8
Q1914
median1143
Q31459
95-th percentile2632.1
Maximum18169
Range17610
Interquartile range (IQR)545

Descriptive statistics

Standard deviation1313.4834
Coefficient of variation (CV)0.97444869
Kurtosis137.13687
Mean1347.9246
Median Absolute Deviation (MAD)269
Skewness10.799527
Sum268237
Variance1725238.6
MonotonicityNot monotonic
2024-03-15T01:54:55.225357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
927 3
 
1.5%
1174 2
 
1.0%
1111 2
 
1.0%
1472 2
 
1.0%
1143 2
 
1.0%
1094 2
 
1.0%
1074 2
 
1.0%
1177 2
 
1.0%
1198 2
 
1.0%
731 1
 
0.5%
Other values (179) 179
89.9%
ValueCountFrequency (%)
559 1
0.5%
560 1
0.5%
583 1
0.5%
586 1
0.5%
591 1
0.5%
596 1
0.5%
621 1
0.5%
628 1
0.5%
629 1
0.5%
639 1
0.5%
ValueCountFrequency (%)
18169 1
0.5%
3418 1
0.5%
3238 1
0.5%
3098 1
0.5%
3096 1
0.5%
2961 1
0.5%
2900 1
0.5%
2822 1
0.5%
2680 1
0.5%
2669 1
0.5%

55 - 59세
Real number (ℝ)

Distinct180
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1010.3166
Minimum518
Maximum13559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:55.581130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum518
5-th percentile569.3
Q1758
median905
Q31043.5
95-th percentile1657.5
Maximum13559
Range13041
Interquartile range (IQR)285.5

Descriptive statistics

Standard deviation948.84738
Coefficient of variation (CV)0.93915847
Kurtosis156.29578
Mean1010.3166
Median Absolute Deviation (MAD)142
Skewness11.847022
Sum201053
Variance900311.35
MonotonicityNot monotonic
2024-03-15T01:54:55.993804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002 3
 
1.5%
1024 3
 
1.5%
922 2
 
1.0%
960 2
 
1.0%
800 2
 
1.0%
828 2
 
1.0%
635 2
 
1.0%
908 2
 
1.0%
575 2
 
1.0%
769 2
 
1.0%
Other values (170) 177
88.9%
ValueCountFrequency (%)
518 1
0.5%
522 2
1.0%
534 1
0.5%
546 1
0.5%
549 1
0.5%
552 1
0.5%
555 1
0.5%
562 1
0.5%
563 1
0.5%
570 1
0.5%
ValueCountFrequency (%)
13559 1
0.5%
2450 1
0.5%
2266 1
0.5%
2062 1
0.5%
1975 1
0.5%
1922 1
0.5%
1881 1
0.5%
1836 1
0.5%
1777 1
0.5%
1707 1
0.5%

60 - 64세
Real number (ℝ)

Distinct168
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792.67337
Minimum423
Maximum10894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:56.287100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423
5-th percentile466.6
Q1577.5
median669
Q3853
95-th percentile1208.7
Maximum10894
Range10471
Interquartile range (IQR)275.5

Descriptive statistics

Standard deviation758.98109
Coefficient of variation (CV)0.95749539
Kurtosis160.33163
Mean792.67337
Median Absolute Deviation (MAD)135
Skewness12.048404
Sum157742
Variance576052.3
MonotonicityNot monotonic
2024-03-15T01:54:56.808193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
808 4
 
2.0%
520 3
 
1.5%
605 2
 
1.0%
537 2
 
1.0%
523 2
 
1.0%
585 2
 
1.0%
611 2
 
1.0%
505 2
 
1.0%
600 2
 
1.0%
467 2
 
1.0%
Other values (158) 176
88.4%
ValueCountFrequency (%)
423 1
0.5%
429 1
0.5%
434 1
0.5%
440 1
0.5%
444 2
1.0%
447 1
0.5%
454 1
0.5%
462 1
0.5%
463 1
0.5%
467 2
1.0%
ValueCountFrequency (%)
10894 1
0.5%
1748 1
0.5%
1556 1
0.5%
1443 1
0.5%
1404 1
0.5%
1379 1
0.5%
1346 1
0.5%
1294 1
0.5%
1246 1
0.5%
1215 1
0.5%

65 - 69세
Real number (ℝ)

Distinct155
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean666.89447
Minimum344
Maximum9755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:57.235404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum344
5-th percentile409.9
Q1473
median587
Q3669.5
95-th percentile1087.4
Maximum9755
Range9411
Interquartile range (IQR)196.5

Descriptive statistics

Standard deviation679.26343
Coefficient of variation (CV)1.0185471
Kurtosis163.7993
Mean666.89447
Median Absolute Deviation (MAD)113
Skewness12.23704
Sum132712
Variance461398.8
MonotonicityNot monotonic
2024-03-15T01:54:57.589220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
623 4
 
2.0%
411 4
 
2.0%
527 4
 
2.0%
427 3
 
1.5%
499 3
 
1.5%
649 3
 
1.5%
610 3
 
1.5%
445 3
 
1.5%
524 2
 
1.0%
491 2
 
1.0%
Other values (145) 168
84.4%
ValueCountFrequency (%)
344 1
 
0.5%
352 1
 
0.5%
360 1
 
0.5%
376 1
 
0.5%
381 1
 
0.5%
386 1
 
0.5%
391 1
 
0.5%
396 2
1.0%
400 1
 
0.5%
411 4
2.0%
ValueCountFrequency (%)
9755 1
0.5%
1297 1
0.5%
1294 1
0.5%
1287 1
0.5%
1277 1
0.5%
1122 1
0.5%
1121 1
0.5%
1095 1
0.5%
1094 1
0.5%
1091 1
0.5%

70 - 74세
Real number (ℝ)

Distinct157
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean508.93467
Minimum264
Maximum7287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:58.011497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum264
5-th percentile290.8
Q1358.5
median423
Q3540
95-th percentile862.3
Maximum7287
Range7023
Interquartile range (IQR)181.5

Descriptive statistics

Standard deviation511.01943
Coefficient of variation (CV)1.0040963
Kurtosis158.1205
Mean508.93467
Median Absolute Deviation (MAD)86
Skewness11.929533
Sum101278
Variance261140.86
MonotonicityNot monotonic
2024-03-15T01:54:58.287407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
369 3
 
1.5%
313 3
 
1.5%
357 3
 
1.5%
440 3
 
1.5%
479 3
 
1.5%
346 3
 
1.5%
383 3
 
1.5%
367 2
 
1.0%
284 2
 
1.0%
502 2
 
1.0%
Other values (147) 172
86.4%
ValueCountFrequency (%)
264 1
0.5%
270 1
0.5%
276 1
0.5%
277 1
0.5%
284 2
1.0%
285 1
0.5%
286 2
1.0%
289 1
0.5%
291 1
0.5%
297 1
0.5%
ValueCountFrequency (%)
7287 1
0.5%
996 1
0.5%
989 1
0.5%
986 1
0.5%
968 1
0.5%
955 1
0.5%
907 1
0.5%
899 1
0.5%
868 1
0.5%
865 1
0.5%

75 - 79세
Real number (ℝ)

Distinct160
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.19095
Minimum132
Maximum4349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:58.662862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile183.9
Q1223.5
median270
Q3364.5
95-th percentile565.6
Maximum4349
Range4217
Interquartile range (IQR)141

Descriptive statistics

Standard deviation310.50297
Coefficient of variation (CV)0.95190552
Kurtosis143.72548
Mean326.19095
Median Absolute Deviation (MAD)61
Skewness11.148003
Sum64912
Variance96412.095
MonotonicityNot monotonic
2024-03-15T01:54:59.096192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 5
 
2.5%
257 4
 
2.0%
198 4
 
2.0%
203 3
 
1.5%
234 3
 
1.5%
189 3
 
1.5%
270 2
 
1.0%
287 2
 
1.0%
417 2
 
1.0%
226 2
 
1.0%
Other values (150) 169
84.9%
ValueCountFrequency (%)
132 1
0.5%
138 1
0.5%
154 1
0.5%
156 1
0.5%
167 1
0.5%
168 1
0.5%
175 1
0.5%
176 1
0.5%
182 1
0.5%
183 1
0.5%
ValueCountFrequency (%)
4349 1
0.5%
803 1
0.5%
733 1
0.5%
672 1
0.5%
651 1
0.5%
640 1
0.5%
630 1
0.5%
619 1
0.5%
605 1
0.5%
580 1
0.5%

80 - 84세
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.09045
Minimum70
Maximum2403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:54:59.456029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile92.7
Q1123
median151
Q3206
95-th percentile295.4
Maximum2403
Range2333
Interquartile range (IQR)83

Descriptive statistics

Standard deviation172.04701
Coefficient of variation (CV)0.95533665
Kurtosis142.13445
Mean180.09045
Median Absolute Deviation (MAD)40
Skewness11.050906
Sum35838
Variance29600.174
MonotonicityNot monotonic
2024-03-15T01:54:59.923493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131 6
 
3.0%
139 5
 
2.5%
151 5
 
2.5%
186 3
 
1.5%
112 3
 
1.5%
97 3
 
1.5%
140 3
 
1.5%
103 3
 
1.5%
176 3
 
1.5%
127 3
 
1.5%
Other values (117) 162
81.4%
ValueCountFrequency (%)
70 1
0.5%
71 2
1.0%
77 1
0.5%
78 2
1.0%
80 1
0.5%
82 1
0.5%
84 1
0.5%
90 1
0.5%
93 1
0.5%
94 1
0.5%
ValueCountFrequency (%)
2403 1
0.5%
444 1
0.5%
398 1
0.5%
397 1
0.5%
388 1
0.5%
351 1
0.5%
347 1
0.5%
344 1
0.5%
316 1
0.5%
299 1
0.5%

85 - 89세
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.301508
Minimum25
Maximum1176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:55:00.337198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40.9
Q155
median69
Q3100.5
95-th percentile139
Maximum1176
Range1151
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation84.847871
Coefficient of variation (CV)1.0064811
Kurtosis139.7581
Mean84.301508
Median Absolute Deviation (MAD)18
Skewness10.923078
Sum16776
Variance7199.1612
MonotonicityNot monotonic
2024-03-15T01:55:00.802672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 6
 
3.0%
58 6
 
3.0%
53 6
 
3.0%
63 6
 
3.0%
75 5
 
2.5%
65 5
 
2.5%
68 4
 
2.0%
52 4
 
2.0%
88 4
 
2.0%
60 4
 
2.0%
Other values (81) 149
74.9%
ValueCountFrequency (%)
25 1
 
0.5%
28 2
1.0%
30 1
 
0.5%
31 2
1.0%
36 1
 
0.5%
38 2
1.0%
40 1
 
0.5%
41 4
2.0%
42 2
1.0%
43 1
 
0.5%
ValueCountFrequency (%)
1176 1
0.5%
231 1
0.5%
207 1
0.5%
202 1
0.5%
176 1
0.5%
168 1
0.5%
159 1
0.5%
152 1
0.5%
142 1
0.5%
139 2
1.0%

90 - 94세
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.663317
Minimum7
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:55:01.215945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12.9
Q118
median24
Q332
95-th percentile51
Maximum358
Range351
Interquartile range (IQR)14

Descriptive statistics

Standard deviation26.10376
Coefficient of variation (CV)0.94362365
Kurtosis130.6558
Mean27.663317
Median Absolute Deviation (MAD)7
Skewness10.419979
Sum5505
Variance681.40627
MonotonicityNot monotonic
2024-03-15T01:55:01.680561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
17 17
 
8.5%
24 13
 
6.5%
18 10
 
5.0%
19 10
 
5.0%
25 10
 
5.0%
21 8
 
4.0%
20 8
 
4.0%
22 7
 
3.5%
23 7
 
3.5%
15 7
 
3.5%
Other values (33) 102
51.3%
ValueCountFrequency (%)
7 1
 
0.5%
10 4
 
2.0%
11 3
 
1.5%
12 2
 
1.0%
13 2
 
1.0%
14 5
 
2.5%
15 7
3.5%
16 5
 
2.5%
17 17
8.5%
18 10
5.0%
ValueCountFrequency (%)
358 1
 
0.5%
81 1
 
0.5%
66 1
 
0.5%
63 1
 
0.5%
53 1
 
0.5%
52 3
1.5%
51 3
1.5%
49 1
 
0.5%
48 2
1.0%
47 1
 
0.5%

95 - 99세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1507538
Minimum0
Maximum86
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:55:01.948039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile13
Maximum86
Range86
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.501545
Coefficient of variation (CV)1.0570322
Kurtosis115.57954
Mean6.1507538
Median Absolute Deviation (MAD)2
Skewness9.5098651
Sum1224
Variance42.270088
MonotonicityNot monotonic
2024-03-15T01:55:02.267081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 30
15.1%
3 28
14.1%
5 24
12.1%
6 24
12.1%
7 21
10.6%
2 18
9.0%
8 14
7.0%
10 8
 
4.0%
9 8
 
4.0%
13 7
 
3.5%
Other values (8) 17
8.5%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 18
9.0%
3 28
14.1%
4 30
15.1%
5 24
12.1%
6 24
12.1%
7 21
10.6%
8 14
7.0%
9 8
 
4.0%
ValueCountFrequency (%)
86 1
 
0.5%
16 1
 
0.5%
15 2
 
1.0%
14 1
 
0.5%
13 7
3.5%
12 2
 
1.0%
11 4
 
2.0%
10 8
4.0%
9 8
4.0%
8 14
7.0%

100-
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.201005
Minimum0
Maximum13
Zeros82
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-15T01:55:02.500360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7085049
Coefficient of variation (CV)1.4225626
Kurtosis15.037009
Mean1.201005
Median Absolute Deviation (MAD)1
Skewness3.1568212
Sum239
Variance2.9189889
MonotonicityNot monotonic
2024-03-15T01:55:02.807058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 82
41.2%
1 60
30.2%
2 33
16.6%
3 10
 
5.0%
4 5
 
2.5%
5 4
 
2.0%
7 2
 
1.0%
6 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
0 82
41.2%
1 60
30.2%
2 33
16.6%
3 10
 
5.0%
4 5
 
2.5%
5 4
 
2.0%
6 1
 
0.5%
7 2
 
1.0%
10 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
10 1
 
0.5%
7 2
 
1.0%
6 1
 
0.5%
5 4
 
2.0%
4 5
 
2.5%
3 10
 
5.0%
2 33
16.6%
1 60
30.2%
0 82
41.2%

Sample

시점행정구역(동읍면)별(1)행정구역(동읍면)별(2)행정구역(동읍면)별(3)행정구역(동읍면)별(4)항목0 - 4세5 - 9세10 - 14세15 - 19세20 - 24세25 - 29세30 - 34세35 - 39세40 - 44세45 - 49세50 - 54세55 - 59세60 - 64세65 - 69세70 - 74세75 - 79세80 - 84세85 - 89세90 - 94세95 - 99세100-
02005전라북도전주시완산구중앙동인구30042757964810101001853675763936867875689578403270132562321
12005전라북도전주시완산구풍남동인구304437583560922872753630689833796780654526377227119521870
22005전라북도전주시완산구노송동인구6198489951119170316281433123913281455129212951099920625390213854251
32005전라북도전주시완산구완산동인구31940742944574672970455252456458664551244327619978381450
42005전라북도전주시완산구동서학동인구421509702717955890741736813984753657581497357190108481432
52005전라북도전주시완산구서서학동인구6858838688741160129512161054985104785382965253333318398491532
62005전라북도전주시완산구중화산1동인구7031063136913451438123111391234136014601035783618460351250129581631
72005전라북도전주시완산구중화산2동인구1049195020131497137711491593203019371650917638454381310212131592051
82005전라북도전주시완산구서신동인구29484590502135083066306943285027464735142084151411579487644712421133130
92005전라북도전주시완산구평화1동인구75583710051091134913981292110811491223968878629536394277141581821
시점행정구역(동읍면)별(1)행정구역(동읍면)별(2)행정구역(동읍면)별(3)행정구역(동읍면)별(4)항목0 - 4세5 - 9세10 - 14세15 - 19세20 - 24세25 - 29세30 - 34세35 - 39세40 - 44세45 - 49세50 - 54세55 - 59세60 - 64세65 - 69세70 - 74세75 - 79세80 - 84세85 - 89세90 - 94세95 - 99세100-
1892010전라북도전주시덕진구금암1동인구21120332142670990569658454054562853451741631022596311170
1902010전라북도전주시덕진구금암2동인구42138957477990411089818448708871005890863673441280145671955
1912010전라북도전주시덕진구팔복동인구441407623742708933848933877955959785699499395231110422372
1922010전라북도전주시덕진구우아1동인구5446059171014921111410121092110810871074835661434374224134402520
1932010전라북도전주시덕진구우아2동인구773704104910941013134612721440138511541067730579462382266151551770
1942010전라북도전주시덕진구호성동인구14151646218721091712153217172108221621081983134989861056043125910635101
1952010전라북도전주시덕진구송천1동인구2185290738283378227020392671389737863169222612439296666064212541333951
1962010전라북도전주시덕진구송천2동인구13851746256827522023176317952461263425982187134310527676344552611063390
1972010전라북도전주시덕진구조촌동인구450563782866667711749976983920855618534411425305149761557
1982010전라북도전주시덕진구동산동인구921101313221403116212771343152915251477137810027715925283641768924134