Overview

Dataset statistics

Number of variables23
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory210.3 B

Variable types

Text1
Numeric21
Categorical1

Dataset

Description익산시 연령별 인구 데이터입니다. (2019년 0~9세 남녀, 10~19세 남녀, 20~29세 남녀, 30~39세 남녀, 40~49세 남녀 등)
Author전북특별자치도
URLhttps://www.data.go.kr/data/15051342/fileData.do

Alerts

행정구역 has unique valuesUnique
2019년_남_0~9세 has unique valuesUnique
2019년_남_20~29세 has unique valuesUnique
2019년_남_30~39세 has unique valuesUnique
2019년_남_40~49세 has unique valuesUnique
2019년_남_50~59세 has unique valuesUnique
2019년_여_20~29세 has unique valuesUnique
2019년_여_30~39세 has unique valuesUnique
2019년_여_40~49세 has unique valuesUnique
2019년_여_60~69세 has unique valuesUnique
2019년_여_100세 이상 has 3 (10.0%) zerosZeros

Reproduction

Analysis started2024-03-14 19:48:55.160186
Analysis finished2024-03-14 19:48:55.484941
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T04:48:56.124554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length23.9
Min length21

Characters and Unicode

Total characters717
Distinct characters60
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row전라북도 익산시 (4514000000)
2nd row전라북도 익산시 함열읍(4514025000)
3rd row전라북도 익산시 오산면(4514031000)
4th row전라북도 익산시 황등면(4514032000)
5th row전라북도 익산시 함라면(4514033000)
ValueCountFrequency (%)
전라북도 30
33.3%
익산시 30
33.3%
팔봉동(4514067000 1
 
1.1%
신동(4514065600 1
 
1.1%
어양동(4514065200 1
 
1.1%
영등2동(4514064700 1
 
1.1%
영등1동(4514064600 1
 
1.1%
송학동(4514062000 1
 
1.1%
모현동(4514061000 1
 
1.1%
남중동(4514059500 1
 
1.1%
Other values (22) 22
24.4%
2024-03-15T04:48:57.469754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 118
16.5%
4 69
 
9.6%
60
 
8.4%
5 41
 
5.7%
산 34
 
4.7%
1 34
 
4.7%
라 31
 
4.3%
전 30
 
4.2%
북 30
 
4.2%
도 30
 
4.2%
Other values (50) 240
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
42.1%
Other Letter 295
41.1%
Space Separator 60
 
8.4%
Open Punctuation 30
 
4.2%
Close Punctuation 30
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 34
11.5%
라 31
10.5%
전 30
10.2%
북 30
10.2%
도 30
10.2%
익 30
10.2%
시 30
10.2%
동 16
 
5.4%
면 14
 
4.7%
성 3
 
1.0%
Other values (37) 47
15.9%
Decimal Number
ValueCountFrequency (%)
0 118
39.1%
4 69
22.8%
5 41
 
13.6%
1 34
 
11.3%
6 12
 
4.0%
3 12
 
4.0%
2 7
 
2.3%
7 4
 
1.3%
9 3
 
1.0%
8 2
 
0.7%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 422
58.9%
Hangul 295
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 34
11.5%
라 31
10.5%
전 30
10.2%
북 30
10.2%
도 30
10.2%
익 30
10.2%
시 30
10.2%
동 16
 
5.4%
면 14
 
4.7%
성 3
 
1.0%
Other values (37) 47
15.9%
Common
ValueCountFrequency (%)
0 118
28.0%
4 69
16.4%
60
14.2%
5 41
 
9.7%
1 34
 
8.1%
( 30
 
7.1%
) 30
 
7.1%
6 12
 
2.8%
3 12
 
2.8%
2 7
 
1.7%
Other values (3) 9
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422
58.9%
Hangul 295
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 118
28.0%
4 69
16.4%
60
14.2%
5 41
 
9.7%
1 34
 
8.1%
( 30
 
7.1%
) 30
 
7.1%
6 12
 
2.8%
3 12
 
2.8%
2 7
 
1.7%
Other values (3) 9
 
2.1%
Hangul
ValueCountFrequency (%)
산 34
11.5%
라 31
10.5%
전 30
10.2%
북 30
10.2%
도 30
10.2%
익 30
10.2%
시 30
10.2%
동 16
 
5.4%
면 14
 
4.7%
성 3
 
1.0%
Other values (37) 47
15.9%

2019년_남_0~9세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.13333
Minimum11
Maximum10682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:48:57.775164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile23.4
Q157.5
median189.5
Q3434
95-th percentile1749.2
Maximum10682
Range10671
Interquartile range (IQR)376.5

Descriptive statistics

Standard deviation1944.4657
Coefficient of variation (CV)2.7304798
Kurtosis25.998477
Mean712.13333
Median Absolute Deviation (MAD)146.5
Skewness4.971133
Sum21364
Variance3780946.8
MonotonicityNot monotonic
2024-03-15T04:48:58.192531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10682 1
 
3.3%
67 1
 
3.3%
1395 1
 
3.3%
301 1
 
3.3%
335 1
 
3.3%
1300 1
 
3.3%
747 1
 
3.3%
867 1
 
3.3%
467 1
 
3.3%
2039 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11 1
3.3%
18 1
3.3%
30 1
3.3%
31 1
3.3%
38 1
3.3%
39 1
3.3%
42 1
3.3%
55 1
3.3%
65 1
3.3%
67 1
3.3%
ValueCountFrequency (%)
10682 1
3.3%
2039 1
3.3%
1395 1
3.3%
1300 1
3.3%
891 1
3.3%
867 1
3.3%
747 1
3.3%
467 1
3.3%
335 1
3.3%
301 1
3.3%

2019년_남_10~19세
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.8
Minimum43
Maximum15207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:48:58.558318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile48
Q199.5
median256
Q3586
95-th percentile2258.25
Maximum15207
Range15164
Interquartile range (IQR)486.5

Descriptive statistics

Standard deviation2759.1293
Coefficient of variation (CV)2.7215716
Kurtosis26.377703
Mean1013.8
Median Absolute Deviation (MAD)181.5
Skewness5.0139521
Sum30414
Variance7612794.4
MonotonicityNot monotonic
2024-03-15T04:48:58.960295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
48 2
 
6.7%
176 2
 
6.7%
15207 1
 
3.3%
228 1
 
3.3%
2292 1
 
3.3%
367 1
 
3.3%
601 1
 
3.3%
1830 1
 
3.3%
1169 1
 
3.3%
1508 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
43 1
3.3%
48 2
6.7%
65 1
3.3%
74 1
3.3%
75 1
3.3%
81 1
3.3%
99 1
3.3%
101 1
3.3%
103 1
3.3%
115 1
3.3%
ValueCountFrequency (%)
15207 1
3.3%
2292 1
3.3%
2217 1
3.3%
1830 1
3.3%
1508 1
3.3%
1208 1
3.3%
1169 1
3.3%
601 1
3.3%
541 1
3.3%
523 1
3.3%

2019년_남_20~29세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1349.6667
Minimum57
Maximum20245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:48:59.316986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile72.85
Q1157.5
median409
Q31053
95-th percentile2514.65
Maximum20245
Range20188
Interquartile range (IQR)895.5

Descriptive statistics

Standard deviation3651.2742
Coefficient of variation (CV)2.7053155
Kurtosis27.094784
Mean1349.6667
Median Absolute Deviation (MAD)302
Skewness5.1019548
Sum40490
Variance13331803
MonotonicityNot monotonic
2024-03-15T04:48:59.656869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20245 1
 
3.3%
202 1
 
3.3%
2436 1
 
3.3%
444 1
 
3.3%
2316 1
 
3.3%
1821 1
 
3.3%
1138 1
 
3.3%
1960 1
 
3.3%
499 1
 
3.3%
2579 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
57 1
3.3%
67 1
3.3%
80 1
3.3%
92 1
3.3%
97 1
3.3%
117 1
3.3%
136 1
3.3%
154 1
3.3%
168 1
3.3%
197 1
3.3%
ValueCountFrequency (%)
20245 1
3.3%
2579 1
3.3%
2436 1
3.3%
2316 1
3.3%
1960 1
3.3%
1821 1
3.3%
1432 1
3.3%
1138 1
3.3%
798 1
3.3%
758 1
3.3%

2019년_남_30~39세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1068.8
Minimum37
Maximum16032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:48:59.995888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile55.45
Q1140.5
median319
Q3790.25
95-th percentile2101.1
Maximum16032
Range15995
Interquartile range (IQR)649.75

Descriptive statistics

Standard deviation2884.893
Coefficient of variation (CV)2.6991888
Kurtosis27.371964
Mean1068.8
Median Absolute Deviation (MAD)213.5
Skewness5.139195
Sum32064
Variance8322607.8
MonotonicityNot monotonic
2024-03-15T04:49:00.432386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16032 1
 
3.3%
218 1
 
3.3%
1825 1
 
3.3%
491 1
 
3.3%
837 1
 
3.3%
1597 1
 
3.3%
854 1
 
3.3%
1319 1
 
3.3%
645 1
 
3.3%
2327 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
37 1
3.3%
46 1
3.3%
67 1
3.3%
68 1
3.3%
102 1
3.3%
109 1
3.3%
111 1
3.3%
133 1
3.3%
163 1
3.3%
171 1
3.3%
ValueCountFrequency (%)
16032 1
3.3%
2327 1
3.3%
1825 1
3.3%
1597 1
3.3%
1319 1
3.3%
1305 1
3.3%
854 1
3.3%
837 1
3.3%
650 1
3.3%
645 1
3.3%

2019년_남_40~49세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1477
Minimum93
Maximum22155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:00.835488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile113.3
Q1205.25
median494.5
Q3940.25
95-th percentile3000.4
Maximum22155
Range22062
Interquartile range (IQR)735

Descriptive statistics

Standard deviation3990.1056
Coefficient of variation (CV)2.7014933
Kurtosis27.267189
Mean1477
Median Absolute Deviation (MAD)324
Skewness5.1266508
Sum44310
Variance15920943
MonotonicityNot monotonic
2024-03-15T04:49:01.222237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
22155 1
 
3.3%
254 1
 
3.3%
2886 1
 
3.3%
584 1
 
3.3%
966 1
 
3.3%
2269 1
 
3.3%
1370 1
 
3.3%
1757 1
 
3.3%
743 1
 
3.3%
3094 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
93 1
3.3%
107 1
3.3%
121 1
3.3%
128 1
3.3%
157 1
3.3%
169 1
3.3%
172 1
3.3%
202 1
3.3%
215 1
3.3%
254 1
3.3%
ValueCountFrequency (%)
22155 1
3.3%
3094 1
3.3%
2886 1
3.3%
2269 1
3.3%
1838 1
3.3%
1757 1
3.3%
1370 1
3.3%
966 1
3.3%
863 1
3.3%
743 1
3.3%

2019년_남_50~59세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1691.3333
Minimum125
Maximum25370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:01.606400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile193.35
Q1315.25
median596.5
Q31112
95-th percentile3064.2
Maximum25370
Range25245
Interquartile range (IQR)796.75

Descriptive statistics

Standard deviation4546.0686
Coefficient of variation (CV)2.6878608
Kurtosis27.890359
Mean1691.3333
Median Absolute Deviation (MAD)325.5
Skewness5.2054551
Sum50740
Variance20666739
MonotonicityNot monotonic
2024-03-15T04:49:01.850145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
25370 1
 
3.3%
316 1
 
3.3%
2985 1
 
3.3%
573 1
 
3.3%
1143 1
 
3.3%
2172 1
 
3.3%
1215 1
 
3.3%
2263 1
 
3.3%
657 1
 
3.3%
3129 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
125 1
3.3%
174 1
3.3%
217 1
3.3%
225 1
3.3%
252 1
3.3%
289 1
3.3%
301 1
3.3%
315 1
3.3%
316 1
3.3%
333 1
3.3%
ValueCountFrequency (%)
25370 1
3.3%
3129 1
3.3%
2985 1
3.3%
2263 1
3.3%
2172 1
3.3%
1975 1
3.3%
1215 1
3.3%
1143 1
3.3%
1019 1
3.3%
940 1
3.3%

2019년_남_60~69세
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1267.4
Minimum189
Maximum19011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:02.210403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189
5-th percentile198.1
Q1344.25
median499
Q3885.25
95-th percentile1902.15
Maximum19011
Range18822
Interquartile range (IQR)541

Descriptive statistics

Standard deviation3385.1261
Coefficient of variation (CV)2.6709217
Kurtosis28.688
Mean1267.4
Median Absolute Deviation (MAD)199.5
Skewness5.3074729
Sum38022
Variance11459079
MonotonicityNot monotonic
2024-03-15T04:49:02.604562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
357 2
 
6.7%
19011 1
 
3.3%
413 1
 
3.3%
1487 1
 
3.3%
424 1
 
3.3%
926 1
 
3.3%
924 1
 
3.3%
436 1
 
3.3%
1509 1
 
3.3%
503 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
189 1
3.3%
190 1
3.3%
208 1
3.3%
227 1
3.3%
271 1
3.3%
300 1
3.3%
309 1
3.3%
340 1
3.3%
357 2
6.7%
413 1
3.3%
ValueCountFrequency (%)
19011 1
3.3%
2187 1
3.3%
1554 1
3.3%
1509 1
3.3%
1487 1
3.3%
1015 1
3.3%
926 1
3.3%
924 1
3.3%
769 1
3.3%
699 1
3.3%

2019년_남_70~79세
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean687
Minimum117
Maximum10305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:03.027972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile144
Q1225.5
median274.5
Q3429.75
95-th percentile919.3
Maximum10305
Range10188
Interquartile range (IQR)204.25

Descriptive statistics

Standard deviation1828.7709
Coefficient of variation (CV)2.6619664
Kurtosis29.120048
Mean687
Median Absolute Deviation (MAD)92.5
Skewness5.3629237
Sum20610
Variance3344403.1
MonotonicityNot monotonic
2024-03-15T04:49:03.423261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
272 2
 
6.7%
144 2
 
6.7%
10305 1
 
3.3%
586 1
 
3.3%
236 1
 
3.3%
625 1
 
3.3%
336 1
 
3.3%
205 1
 
3.3%
550 1
 
3.3%
1057 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
117 1
3.3%
144 2
6.7%
164 1
3.3%
174 1
3.3%
205 1
3.3%
223 1
3.3%
225 1
3.3%
227 1
3.3%
234 1
3.3%
236 1
3.3%
ValueCountFrequency (%)
10305 1
3.3%
1057 1
3.3%
751 1
3.3%
683 1
3.3%
625 1
3.3%
586 1
3.3%
550 1
3.3%
431 1
3.3%
426 1
3.3%
372 1
3.3%

2019년_남_80~89세
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.46667
Minimum64
Maximum3937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:03.795441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile68.35
Q181.25
median109.5
Q3178.25
95-th percentile330.55
Maximum3937
Range3873
Interquartile range (IQR)97

Descriptive statistics

Standard deviation697.75921
Coefficient of variation (CV)2.6584679
Kurtosis29.290757
Mean262.46667
Median Absolute Deviation (MAD)33
Skewness5.3850805
Sum7874
Variance486867.91
MonotonicityNot monotonic
2024-03-15T04:49:04.211682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
164 2
 
6.7%
183 2
 
6.7%
78 2
 
6.7%
3937 1
 
3.3%
154 1
 
3.3%
206 1
 
3.3%
98 1
 
3.3%
199 1
 
3.3%
103 1
 
3.3%
80 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
64 1
3.3%
67 1
3.3%
70 1
3.3%
75 1
3.3%
78 2
6.7%
79 1
3.3%
80 1
3.3%
85 1
3.3%
93 1
3.3%
98 1
3.3%
ValueCountFrequency (%)
3937 1
3.3%
385 1
3.3%
264 1
3.3%
261 1
3.3%
206 1
3.3%
199 1
3.3%
183 2
6.7%
164 2
6.7%
154 1
3.3%
137 1
3.3%

2019년_남_90~99세
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.333333
Minimum5
Maximum425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:04.436245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q110
median13
Q317.75
95-th percentile33.3
Maximum425
Range420
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation75.292686
Coefficient of variation (CV)2.6573889
Kurtosis29.343841
Mean28.333333
Median Absolute Deviation (MAD)4
Skewness5.3913599
Sum850
Variance5668.9885
MonotonicityNot monotonic
2024-03-15T04:49:04.632807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 3
 
10.0%
13 3
 
10.0%
11 3
 
10.0%
6 2
 
6.7%
9 2
 
6.7%
15 2
 
6.7%
17 2
 
6.7%
8 2
 
6.7%
425 1
 
3.3%
5 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
5 1
 
3.3%
6 2
6.7%
8 2
6.7%
9 2
6.7%
10 3
10.0%
11 3
10.0%
12 1
 
3.3%
13 3
10.0%
14 1
 
3.3%
15 2
6.7%
ValueCountFrequency (%)
425 1
3.3%
36 1
3.3%
30 1
3.3%
27 1
3.3%
25 1
3.3%
24 1
3.3%
22 1
3.3%
18 1
3.3%
17 2
6.7%
15 2
6.7%

2019년_남_100세 이상
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
0
13 
1
12 
3
3 
23
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row23
2nd row1
3rd row2
4th row3
5th row0

Common Values

ValueCountFrequency (%)
0 13
43.3%
1 12
40.0%
3 3
 
10.0%
23 1
 
3.3%
2 1
 
3.3%

Length

2024-03-15T04:49:04.844586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:49:05.126759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
43.3%
1 12
40.0%
3 3
 
10.0%
23 1
 
3.3%
2 1
 
3.3%

2019년_여_0~9세
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683.4
Minimum9
Maximum10251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:05.350092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14.8
Q150.25
median165
Q3449.25
95-th percentile1721.3
Maximum10251
Range10242
Interquartile range (IQR)399

Descriptive statistics

Standard deviation1867.7546
Coefficient of variation (CV)2.7330328
Kurtosis25.889814
Mean683.4
Median Absolute Deviation (MAD)127
Skewness4.9573296
Sum20502
Variance3488507.4
MonotonicityNot monotonic
2024-03-15T04:49:05.569839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
40 2
 
6.7%
10251 1
 
3.3%
157 1
 
3.3%
1421 1
 
3.3%
290 1
 
3.3%
342 1
 
3.3%
1174 1
 
3.3%
699 1
 
3.3%
860 1
 
3.3%
485 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
9 1
3.3%
13 1
3.3%
17 1
3.3%
35 1
3.3%
36 1
3.3%
40 2
6.7%
50 1
3.3%
51 1
3.3%
64 1
3.3%
83 1
3.3%
ValueCountFrequency (%)
10251 1
3.3%
1967 1
3.3%
1421 1
3.3%
1174 1
3.3%
893 1
3.3%
860 1
3.3%
699 1
3.3%
485 1
3.3%
342 1
3.3%
310 1
3.3%

2019년_여_10~19세
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.33333
Minimum31
Maximum14330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:05.777819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile45.25
Q175
median254
Q3568
95-th percentile2228.8
Maximum14330
Range14299
Interquartile range (IQR)493

Descriptive statistics

Standard deviation2605.0431
Coefficient of variation (CV)2.7268421
Kurtosis26.150306
Mean955.33333
Median Absolute Deviation (MAD)180
Skewness4.9865625
Sum28660
Variance6786249.7
MonotonicityNot monotonic
2024-03-15T04:49:06.121736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
69 2
 
6.7%
75 2
 
6.7%
14330 1
 
3.3%
221 1
 
3.3%
2245 1
 
3.3%
351 1
 
3.3%
614 1
 
3.3%
1786 1
 
3.3%
1091 1
 
3.3%
1385 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
31 1
3.3%
43 1
3.3%
48 1
3.3%
57 1
3.3%
69 2
6.7%
73 1
3.3%
75 2
6.7%
81 1
3.3%
103 1
3.3%
137 1
3.3%
ValueCountFrequency (%)
14330 1
3.3%
2245 1
3.3%
2209 1
3.3%
1786 1
3.3%
1385 1
3.3%
1091 1
3.3%
1084 1
3.3%
614 1
3.3%
430 1
3.3%
398 1
3.3%

2019년_여_20~29세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1142.6667
Minimum49
Maximum17140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:06.516609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile53.9
Q1127
median294.5
Q3984.75
95-th percentile2307.35
Maximum17140
Range17091
Interquartile range (IQR)857.75

Descriptive statistics

Standard deviation3097.8949
Coefficient of variation (CV)2.7111099
Kurtosis26.836679
Mean1142.6667
Median Absolute Deviation (MAD)214
Skewness5.0695821
Sum34280
Variance9596952.9
MonotonicityNot monotonic
2024-03-15T04:49:06.918178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17140 1
 
3.3%
157 1
 
3.3%
2177 1
 
3.3%
348 1
 
3.3%
1823 1
 
3.3%
1613 1
 
3.3%
1099 1
 
3.3%
1642 1
 
3.3%
433 1
 
3.3%
2414 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
49 1
3.3%
53 1
3.3%
55 1
3.3%
66 1
3.3%
76 1
3.3%
85 1
3.3%
106 1
3.3%
126 1
3.3%
130 1
3.3%
157 1
3.3%
ValueCountFrequency (%)
17140 1
3.3%
2414 1
3.3%
2177 1
3.3%
1823 1
3.3%
1642 1
3.3%
1613 1
3.3%
1178 1
3.3%
1099 1
3.3%
642 1
3.3%
637 1
3.3%

2019년_여_30~39세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean975.53333
Minimum28
Maximum14633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:07.516661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile39.85
Q186.5
median281
Q3639.5
95-th percentile2200.45
Maximum14633
Range14605
Interquartile range (IQR)553

Descriptive statistics

Standard deviation2651.4148
Coefficient of variation (CV)2.7179131
Kurtosis26.539086
Mean975.53333
Median Absolute Deviation (MAD)218
Skewness5.0360358
Sum29266
Variance7030000.5
MonotonicityNot monotonic
2024-03-15T04:49:08.000931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14633 1
 
3.3%
121 1
 
3.3%
1849 1
 
3.3%
409 1
 
3.3%
644 1
 
3.3%
1682 1
 
3.3%
915 1
 
3.3%
1260 1
 
3.3%
626 1
 
3.3%
2488 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
28 1
3.3%
34 1
3.3%
47 1
3.3%
57 1
3.3%
58 1
3.3%
61 1
3.3%
65 1
3.3%
85 1
3.3%
91 1
3.3%
121 1
3.3%
ValueCountFrequency (%)
14633 1
3.3%
2488 1
3.3%
1849 1
3.3%
1682 1
3.3%
1260 1
3.3%
1206 1
3.3%
915 1
3.3%
644 1
3.3%
626 1
3.3%
483 1
3.3%

2019년_여_40~49세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1415.7333
Minimum49
Maximum21236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:08.390140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile58.95
Q1133
median389.5
Q3799.5
95-th percentile3152.95
Maximum21236
Range21187
Interquartile range (IQR)666.5

Descriptive statistics

Standard deviation3853.5941
Coefficient of variation (CV)2.7219774
Kurtosis26.36016
Mean1415.7333
Median Absolute Deviation (MAD)295.5
Skewness5.0121764
Sum42472
Variance14850187
MonotonicityNot monotonic
2024-03-15T04:49:08.775652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
21236 1
 
3.3%
188 1
 
3.3%
3104 1
 
3.3%
501 1
 
3.3%
824 1
 
3.3%
2724 1
 
3.3%
1608 1
 
3.3%
1951 1
 
3.3%
692 1
 
3.3%
3193 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
49 1
3.3%
54 1
3.3%
65 1
3.3%
86 1
3.3%
91 1
3.3%
97 1
3.3%
111 1
3.3%
130 1
3.3%
142 1
3.3%
155 1
3.3%
ValueCountFrequency (%)
21236 1
3.3%
3193 1
3.3%
3104 1
3.3%
2724 1
3.3%
1951 1
3.3%
1680 1
3.3%
1608 1
3.3%
824 1
3.3%
726 1
3.3%
692 1
3.3%

2019년_여_50~59세
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1647.1333
Minimum123
Maximum24707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:09.119853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123
5-th percentile142.1
Q1264
median536
Q31116.25
95-th percentile3149.2
Maximum24707
Range24584
Interquartile range (IQR)852.25

Descriptive statistics

Standard deviation4440.1208
Coefficient of variation (CV)2.6956657
Kurtosis27.531631
Mean1647.1333
Median Absolute Deviation (MAD)314
Skewness5.159922
Sum49414
Variance19714673
MonotonicityNot monotonic
2024-03-15T04:49:09.514705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
264 2
 
6.7%
24707 1
 
3.3%
445 1
 
3.3%
2828 1
 
3.3%
513 1
 
3.3%
1211 1
 
3.3%
2117 1
 
3.3%
1153 1
 
3.3%
2456 1
 
3.3%
678 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
123 1
3.3%
125 1
3.3%
163 1
3.3%
180 1
3.3%
212 1
3.3%
232 1
3.3%
254 1
3.3%
264 2
6.7%
279 1
3.3%
351 1
3.3%
ValueCountFrequency (%)
24707 1
3.3%
3412 1
3.3%
2828 1
3.3%
2456 1
3.3%
2117 1
3.3%
2054 1
3.3%
1211 1
3.3%
1153 1
3.3%
1006 1
3.3%
998 1
3.3%

2019년_여_60~69세
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1284.8
Minimum175
Maximum19272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:09.891367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile190.85
Q1326.25
median479
Q3956
95-th percentile2024.95
Maximum19272
Range19097
Interquartile range (IQR)629.75

Descriptive statistics

Standard deviation3434.5933
Coefficient of variation (CV)2.6732514
Kurtosis28.576915
Mean1284.8
Median Absolute Deviation (MAD)200.5
Skewness5.2931596
Sum38544
Variance11796431
MonotonicityNot monotonic
2024-03-15T04:49:10.411714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19272 1
 
3.3%
354 1
 
3.3%
1393 1
 
3.3%
396 1
 
3.3%
1045 1
 
3.3%
1018 1
 
3.3%
469 1
 
3.3%
1467 1
 
3.3%
531 1
 
3.3%
2299 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
175 1
3.3%
176 1
3.3%
209 1
3.3%
210 1
3.3%
240 1
3.3%
286 1
3.3%
297 1
3.3%
317 1
3.3%
354 1
3.3%
359 1
3.3%
ValueCountFrequency (%)
19272 1
3.3%
2299 1
3.3%
1690 1
3.3%
1467 1
3.3%
1393 1
3.3%
1135 1
3.3%
1045 1
3.3%
1018 1
3.3%
770 1
3.3%
687 1
3.3%

2019년_여_70~79세
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean875.73333
Minimum157
Maximum13136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:10.833723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157
5-th percentile177.65
Q1282
median346.5
Q3546.25
95-th percentile1203.1
Maximum13136
Range12979
Interquartile range (IQR)264.25

Descriptive statistics

Standard deviation2332.7884
Coefficient of variation (CV)2.6638114
Kurtosis29.030428
Mean875.73333
Median Absolute Deviation (MAD)123.5
Skewness5.3512372
Sum26272
Variance5441901.9
MonotonicityNot monotonic
2024-03-15T04:49:11.293465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
282 2
 
6.7%
13136 1
 
3.3%
205 1
 
3.3%
877 1
 
3.3%
250 1
 
3.3%
782 1
 
3.3%
552 1
 
3.3%
337 1
 
3.3%
678 1
 
3.3%
356 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
157 1
3.3%
170 1
3.3%
187 1
3.3%
205 1
3.3%
208 1
3.3%
229 1
3.3%
250 1
3.3%
282 2
6.7%
284 1
3.3%
294 1
3.3%
ValueCountFrequency (%)
13136 1
3.3%
1339 1
3.3%
1037 1
3.3%
891 1
3.3%
877 1
3.3%
782 1
3.3%
678 1
3.3%
552 1
3.3%
529 1
3.3%
476 1
3.3%

2019년_여_80~89세
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.73333
Minimum121
Maximum8231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:11.690029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile128
Q1171.75
median230
Q3366.25
95-th percentile665.8
Maximum8231
Range8110
Interquartile range (IQR)194.5

Descriptive statistics

Standard deviation1458.8535
Coefficient of variation (CV)2.6585837
Kurtosis29.285223
Mean548.73333
Median Absolute Deviation (MAD)83.5
Skewness5.3839266
Sum16462
Variance2128253.6
MonotonicityNot monotonic
2024-03-15T04:49:12.125229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
128 2
 
6.7%
331 1
 
3.3%
558 1
 
3.3%
200 1
 
3.3%
488 1
 
3.3%
292 1
 
3.3%
152 1
 
3.3%
407 1
 
3.3%
165 1
 
3.3%
754 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
121 1
3.3%
128 2
6.7%
141 1
3.3%
152 1
3.3%
154 1
3.3%
156 1
3.3%
165 1
3.3%
192 1
3.3%
197 1
3.3%
200 1
3.3%
ValueCountFrequency (%)
8231 1
3.3%
754 1
3.3%
558 1
3.3%
552 1
3.3%
488 1
3.3%
422 1
3.3%
407 1
3.3%
367 1
3.3%
364 1
3.3%
331 1
3.3%

2019년_여_90~99세
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91
Minimum21
Maximum1365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:12.613122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile24
Q130.5
median38.5
Q360.75
95-th percentile108.35
Maximum1365
Range1344
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation241.75094
Coefficient of variation (CV)2.6566037
Kurtosis29.382354
Mean91
Median Absolute Deviation (MAD)14
Skewness5.3964588
Sum2730
Variance58443.517
MonotonicityNot monotonic
2024-03-15T04:49:13.044669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
27 2
 
6.7%
34 2
 
6.7%
25 2
 
6.7%
54 2
 
6.7%
24 2
 
6.7%
73 2
 
6.7%
1365 1
 
3.3%
39 1
 
3.3%
99 1
 
3.3%
35 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
21 1
3.3%
24 2
6.7%
25 2
6.7%
27 2
6.7%
30 1
3.3%
32 1
3.3%
33 1
3.3%
34 2
6.7%
35 1
3.3%
36 1
3.3%
ValueCountFrequency (%)
1365 1
3.3%
116 1
3.3%
99 1
3.3%
79 1
3.3%
73 2
6.7%
70 1
3.3%
62 1
3.3%
57 1
3.3%
54 2
6.7%
53 1
3.3%

2019년_여_100세 이상
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2
Minimum0
Maximum78
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T04:49:13.448866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33.75
95-th percentile8.75
Maximum78
Range78
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation13.934329
Coefficient of variation (CV)2.6796786
Kurtosis28.273935
Mean5.2
Median Absolute Deviation (MAD)1
Skewness5.2549205
Sum156
Variance194.16552
MonotonicityNot monotonic
2024-03-15T04:49:13.909266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 7
23.3%
2 6
20.0%
3 6
20.0%
5 4
13.3%
0 3
10.0%
78 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
0 3
10.0%
1 7
23.3%
2 6
20.0%
3 6
20.0%
4 1
 
3.3%
5 4
13.3%
6 1
 
3.3%
11 1
 
3.3%
78 1
 
3.3%
ValueCountFrequency (%)
78 1
 
3.3%
11 1
 
3.3%
6 1
 
3.3%
5 4
13.3%
4 1
 
3.3%
3 6
20.0%
2 6
20.0%
1 7
23.3%
0 3
10.0%

Sample

행정구역2019년_남_0~9세2019년_남_10~19세2019년_남_20~29세2019년_남_30~39세2019년_남_40~49세2019년_남_50~59세2019년_남_60~69세2019년_남_70~79세2019년_남_80~89세2019년_남_90~99세2019년_남_100세 이상2019년_여_0~9세2019년_여_10~19세2019년_여_20~29세2019년_여_30~39세2019년_여_40~49세2019년_여_50~59세2019년_여_60~69세2019년_여_70~79세2019년_여_80~89세2019년_여_90~99세2019년_여_100세 이상
0전라북도 익산시 (4514000000)106821520720245160322215525370190111030539374252310251143301714014633212362470719272131368231136578
1전라북도 익산시 함열읍(4514025000)217288399315474658671357137151189327286286399621668476331545
2전라북도 익산시 오산면(4514031000)292320377484596748666355164182310322370387507730667439321530
3전라북도 익산시 황등면(4514032000)161284419309515751699426183223147287303259382628658529422705
4전라북도 익산시 함라면(4514033000)317511767128252227174791004073765897212209229156325
5전라북도 익산시 웅포면(4514034000)1843574693174190117751301731532849123175157141302
6전라북도 익산시 성당면(4514035000)304880681212252081447061948664765163210187154272
7전라북도 익산시 용안면(4514036000)3881971021692173002341021404081856186180297282208340
8전라북도 익산시 낭산면(4514037000)55103136133215333357227112100646910691130232286294209251
9전라북도 익산시 망성면(4514038000)39749211115728934025512615150755565111254359310235363
행정구역2019년_남_0~9세2019년_남_10~19세2019년_남_20~29세2019년_남_30~39세2019년_남_40~49세2019년_남_50~59세2019년_남_60~69세2019년_남_70~79세2019년_남_80~89세2019년_남_90~99세2019년_남_100세 이상2019년_여_0~9세2019년_여_10~19세2019년_여_20~29세2019년_여_30~39세2019년_여_40~49세2019년_여_50~59세2019년_여_60~69세2019년_여_70~79세2019년_여_80~89세2019년_여_90~99세2019년_여_100세 이상
20전라북도 익산시 마동(4514058000)250423758529669940769372105100195325637382575998770451225423
21전라북도 익산시 남중동(4514059500)2805417986508631019101575126127325039864248372610061135891364571
22전라북도 익산시 모현동(4514061000)20392217257923273094312921871057385360196722092414248831933412229913397541163
23전라북도 익산시 송학동(4514062000)4675234996457436575032728581485430433626692678531356165241
24전라북도 익산시 영등1동(4514064600)867150819601319175722631509550164251860138516421260195124561467678407792
25전라북도 익산시 영등2동(4514064700)747116911388541370121543620580606991091109991516081153469337152211
26전라북도 익산시 어양동(4514065200)1300183018211597226921729243361031101174178616131682272421171018552292353
27전라북도 익산시 신동(4514065600)335601231683796611439266251991713426141823644824121110457824889911
28전라북도 익산시 팔봉동(4514067000)30136744449158457342423698131290351348409501513396250200541
29전라북도 익산시 삼성동(4514069000)13952292243618252886298514875862061111421224521771849310428281393877558731