Overview

Dataset statistics

Number of variables22
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory185.7 B

Variable types

Categorical19
Numeric3

Alerts

기관코드 has constant value ""Constant
통계표ID has constant value ""Constant
통계표명 has constant value ""Constant
분류값 ID1 has constant value ""Constant
분류값 명1 has constant value ""Constant
분류값 영문명1 has constant value ""Constant
분류명1 has constant value ""Constant
분류 영문명1 has constant value ""Constant
분류명2 has constant value ""Constant
분류 영문명2 has constant value ""Constant
항목ID has constant value ""Constant
항목명 has constant value ""Constant
항목 영문명 has constant value ""Constant
단위명 has constant value ""Constant
단위 영문명 has constant value ""Constant
수록주기 has constant value ""Constant
수치값 has unique valuesUnique

Reproduction

Analysis started2024-01-14 06:39:44.178853
Analysis finished2024-01-14 06:39:44.438703
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
101
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 36
100.0%

Length

2024-01-14T15:39:44.521069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:44.755829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 36
100.0%

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
INH_1B26001_A022
36 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINH_1B26001_A022
2nd rowINH_1B26001_A022
3rd rowINH_1B26001_A022
4th rowINH_1B26001_A022
5th rowINH_1B26001_A022

Common Values

ValueCountFrequency (%)
INH_1B26001_A022 36
100.0%

Length

2024-01-14T15:39:44.868786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:44.975893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
inh_1b26001_a022 36
100.0%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
전입인구(시도/시/군/구)
36 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전입인구(시도/시/군/구)
2nd row전입인구(시도/시/군/구)
3rd row전입인구(시도/시/군/구)
4th row전입인구(시도/시/군/구)
5th row전입인구(시도/시/군/구)

Common Values

ValueCountFrequency (%)
전입인구(시도/시/군/구) 36
100.0%

Length

2024-01-14T15:39:45.090168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:45.222565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전입인구(시도/시/군/구 36
100.0%

분류값 ID1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
44
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44
2nd row44
3rd row44
4th row44
5th row44

Common Values

ValueCountFrequency (%)
44 36
100.0%

Length

2024-01-14T15:39:45.362184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:45.483867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44 36
100.0%

분류값 명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
충청남도
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 36
100.0%

Length

2024-01-14T15:39:45.611032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:45.715375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 36
100.0%

분류값 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Chungcheongnam-do
36 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChungcheongnam-do
2nd rowChungcheongnam-do
3rd rowChungcheongnam-do
4th rowChungcheongnam-do
5th rowChungcheongnam-do

Common Values

ValueCountFrequency (%)
Chungcheongnam-do 36
100.0%

Length

2024-01-14T15:39:45.805395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:45.892186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
chungcheongnam-do 36
100.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
행정구역(시군구)별
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row행정구역(시군구)별
2nd row행정구역(시군구)별
3rd row행정구역(시군구)별
4th row행정구역(시군구)별
5th row행정구역(시군구)별

Common Values

ValueCountFrequency (%)
행정구역(시군구)별 36
100.0%

Length

2024-01-14T15:39:46.015888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:46.107249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역(시군구)별 36
100.0%

분류 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
By administrative divisions(si gun gu)
36 

Length

Max length38
Median length38
Mean length38
Min length38

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy administrative divisions(si gun gu)
2nd rowBy administrative divisions(si gun gu)
3rd rowBy administrative divisions(si gun gu)
4th rowBy administrative divisions(si gun gu)
5th rowBy administrative divisions(si gun gu)

Common Values

ValueCountFrequency (%)
By administrative divisions(si gun gu) 36
100.0%

Length

2024-01-14T15:39:46.220884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:46.324929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 36
20.0%
administrative 36
20.0%
divisions(si 36
20.0%
gun 36
20.0%
gu 36
20.0%

분류값 ID2
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
12 
1
12 
2
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
33.3%
1 12
33.3%
2 12
33.3%

Length

2024-01-14T15:39:46.434641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:46.557066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
33.3%
1 12
33.3%
2 12
33.3%

분류값 명2
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
계
12 
남자
12 
여자
12 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계
2nd row남자
3rd row여자
4th row계
5th row남자

Common Values

ValueCountFrequency (%)
계 12
33.3%
남자 12
33.3%
여자 12
33.3%

Length

2024-01-14T15:39:46.689006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:46.808004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계 12
33.3%
남자 12
33.3%
여자 12
33.3%

분류값 영문명2
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
total
12 
Male
12 
Female
12 

Length

Max length6
Median length5
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtotal
2nd rowMale
3rd rowFemale
4th rowtotal
5th rowMale

Common Values

ValueCountFrequency (%)
total 12
33.3%
Male 12
33.3%
Female 12
33.3%

Length

2024-01-14T15:39:46.920129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:47.051166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 12
33.3%
male 12
33.3%
female 12
33.3%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
성별
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성별 36
100.0%

Length

2024-01-14T15:39:47.181219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:47.286333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성별 36
100.0%

분류 영문명2
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
By gender
36 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy gender
2nd rowBy gender
3rd rowBy gender
4th rowBy gender
5th rowBy gender

Common Values

ValueCountFrequency (%)
By gender 36
100.0%

Length

2024-01-14T15:39:47.437765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:47.591914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 36
50.0%
gender 36
50.0%

항목ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
T10
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT10
2nd rowT10
3rd rowT10
4th rowT10
5th rowT10

Common Values

ValueCountFrequency (%)
T10 36
100.0%

Length

2024-01-14T15:39:47.693575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:47.845841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t10 36
100.0%

항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
총전입
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총전입 36
100.0%

Length

2024-01-14T15:39:47.972834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:48.090018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총전입 36
100.0%

항목 영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Total in-migrants
36 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal in-migrants
2nd rowTotal in-migrants
3rd rowTotal in-migrants
4th rowTotal in-migrants
5th rowTotal in-migrants

Common Values

ValueCountFrequency (%)
Total in-migrants 36
100.0%

Length

2024-01-14T15:39:48.201980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:48.299323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 36
50.0%
in-migrants 36
50.0%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
명
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명 36
100.0%

Length

2024-01-14T15:39:48.408615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:48.504102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명 36
100.0%

단위 영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
Person
36 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Person 36
100.0%

Length

2024-01-14T15:39:48.609993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:48.737761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
person 36
100.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
M
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 36
100.0%

Length

2024-01-14T15:39:48.902128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:49.038340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 36
100.0%

수록시점
Real number (ℝ)

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202290.25
Minimum202211
Maximum202311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-01-14T15:39:49.133703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202211
5-th percentile202211
Q1202301.75
median202304.5
Q3202308.25
95-th percentile202311
Maximum202311
Range100
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation35.849985
Coefficient of variation (CV)0.00017722053
Kurtosis1.5123598
Mean202290.25
Median Absolute Deviation (MAD)3.5
Skewness-1.8369774
Sum7282449
Variance1285.2214
MonotonicityIncreasing
2024-01-14T15:39:49.239698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
202211 3
8.3%
202212 3
8.3%
202301 3
8.3%
202302 3
8.3%
202303 3
8.3%
202304 3
8.3%
202305 3
8.3%
202307 3
8.3%
202308 3
8.3%
202309 3
8.3%
Other values (2) 6
16.7%
ValueCountFrequency (%)
202211 3
8.3%
202212 3
8.3%
202301 3
8.3%
202302 3
8.3%
202303 3
8.3%
202304 3
8.3%
202305 3
8.3%
202307 3
8.3%
202308 3
8.3%
202309 3
8.3%
ValueCountFrequency (%)
202311 3
8.3%
202310 3
8.3%
202309 3
8.3%
202308 3
8.3%
202307 3
8.3%
202305 3
8.3%
202304 3
8.3%
202303 3
8.3%
202302 3
8.3%
202301 3
8.3%

수치값
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14824.389
Minimum8588
Maximum28380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-01-14T15:39:49.389221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8588
5-th percentile8962.25
Q110439.5
median12094.5
Q319645.25
95-th percentile25456.75
Maximum28380
Range19792
Interquartile range (IQR)9205.75

Descriptive statistics

Standard deviation5792.6515
Coefficient of variation (CV)0.39075145
Kurtosis-0.46599708
Mean14824.389
Median Absolute Deviation (MAD)2624.5
Skewness0.88062146
Sum533678
Variance33554811
MonotonicityNot monotonic
2024-01-14T15:39:49.733501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
19955 1
 
2.8%
10716 1
 
2.8%
19376 1
 
2.8%
10611 1
 
2.8%
8765 1
 
2.8%
24671 1
 
2.8%
13117 1
 
2.8%
11554 1
 
2.8%
19609 1
 
2.8%
10472 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
8588 1
2.8%
8765 1
2.8%
9028 1
2.8%
9038 1
2.8%
9137 1
2.8%
9661 1
2.8%
9835 1
2.8%
10063 1
2.8%
10342 1
2.8%
10472 1
2.8%
ValueCountFrequency (%)
28380 1
2.8%
26845 1
2.8%
24994 1
2.8%
24671 1
2.8%
21760 1
2.8%
21405 1
2.8%
21160 1
2.8%
19955 1
2.8%
19754 1
2.8%
19609 1
2.8%

수집날짜
Real number (ℝ)

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230629
Minimum20230112
Maximum20231231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-01-14T15:39:49.869078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230112
5-th percentile20230112
Q120230305
median20230580
Q320230955
95-th percentile20231231
Maximum20231231
Range1119
Interquartile range (IQR)650

Descriptive statistics

Standard deviation384.02206
Coefficient of variation (CV)1.8982211 × 10-5
Kurtosis-1.4097715
Mean20230629
Median Absolute Deviation (MAD)351
Skewness0.13428641
Sum7.2830264 × 108
Variance147472.94
MonotonicityIncreasing
2024-01-14T15:39:50.013273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20230112 3
8.3%
20230131 3
8.3%
20230228 3
8.3%
20230331 3
8.3%
20230430 3
8.3%
20230531 3
8.3%
20230630 3
8.3%
20230831 3
8.3%
20230930 3
8.3%
20231031 3
8.3%
Other values (2) 6
16.7%
ValueCountFrequency (%)
20230112 3
8.3%
20230131 3
8.3%
20230228 3
8.3%
20230331 3
8.3%
20230430 3
8.3%
20230531 3
8.3%
20230630 3
8.3%
20230831 3
8.3%
20230930 3
8.3%
20231031 3
8.3%
ValueCountFrequency (%)
20231231 3
8.3%
20231130 3
8.3%
20231031 3
8.3%
20230930 3
8.3%
20230831 3
8.3%
20230630 3
8.3%
20230531 3
8.3%
20230430 3
8.3%
20230331 3
8.3%
20230228 3
8.3%

Sample

기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
0101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2022111995520230112
1101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2022111092720230112
2101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM202211902820230112
3101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2022122176020230131
4101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2022121169720230131
5101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM2022121006320230131
6101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2023012499420230228
7101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2023011340820230228
8101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM2023011158620230228
9101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2023022838020230331
기관코드통계표ID통계표명분류값 ID1분류값 명1분류값 영문명1분류명1분류 영문명1분류값 ID2분류값 명2분류값 영문명2분류명2분류 영문명2항목ID항목명항목 영문명단위명단위 영문명수록주기수록시점수치값수집날짜
26101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM2023081155420230930
27101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2023091960920231031
28101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2023091047220231031
29101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM202309913720231031
30101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2023102140520231130
31101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2023101157020231130
32101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM202310983520231130
33101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)0계total성별By genderT10총전입Total in-migrants명PersonM2023112116020231231
34101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)1남자Male성별By genderT10총전입Total in-migrants명PersonM2023111149920231231
35101INH_1B26001_A022전입인구(시도/시/군/구)44충청남도Chungcheongnam-do행정구역(시군구)별By administrative divisions(si gun gu)2여자Female성별By genderT10총전입Total in-migrants명PersonM202311966120231231