Overview

Dataset statistics

Number of variables9
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory80.6 B

Variable types

Categorical1
Text1
Numeric6
DateTime1

Dataset

Description성남시 저소득 한부모 가족현황(구분,한부모 세대/가구원,모자가족 세대/가구원,부자가족 세대/가구원수 등)입니다.
URLhttps://www.data.go.kr/data/15004898/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
한부모가족_세대수 is highly overall correlated with 한부모가족_가구원수 and 4 other fieldsHigh correlation
한부모가족_가구원수 is highly overall correlated with 한부모가족_세대수 and 4 other fieldsHigh correlation
모자가족_세대수 is highly overall correlated with 한부모가족_세대수 and 4 other fieldsHigh correlation
모자가족_가구원수 is highly overall correlated with 한부모가족_세대수 and 4 other fieldsHigh correlation
부자가족_세대수 is highly overall correlated with 한부모가족_세대수 and 4 other fieldsHigh correlation
부자가족_가구원수 is highly overall correlated with 한부모가족_세대수 and 4 other fieldsHigh correlation
동별 has unique valuesUnique
한부모가족_세대수 has 2 (4.0%) zerosZeros
한부모가족_가구원수 has 2 (4.0%) zerosZeros
모자가족_세대수 has 2 (4.0%) zerosZeros
모자가족_가구원수 has 2 (4.0%) zerosZeros
부자가족_세대수 has 5 (10.0%) zerosZeros
부자가족_가구원수 has 5 (10.0%) zerosZeros

Reproduction

Analysis started2023-12-12 13:23:47.569755
Analysis finished2023-12-12 13:23:51.908626
Duration4.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
분당구
22 
수정구
17 
중원구
11 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 22
44.0%
수정구 17
34.0%
중원구 11
22.0%

Length

2023-12-12T22:23:51.992741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:23:52.114067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 22
44.0%
수정구 17
34.0%
중원구 11
22.0%

동별
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T22:23:52.380272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.68
Min length3

Characters and Unicode

Total characters184
Distinct characters54
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row신흥1동
2nd row신흥2동
3rd row신흥3동
4th row태평1동
5th row태평2동
ValueCountFrequency (%)
신흥1동 1
 
2.0%
서현1동 1
 
2.0%
백현동 1
 
2.0%
도촌동 1
 
2.0%
분당동 1
 
2.0%
수내1동 1
 
2.0%
수내2동 1
 
2.0%
수내3동 1
 
2.0%
정자동 1
 
2.0%
정자1동 1
 
2.0%
Other values (40) 40
80.0%
2023-12-12T22:23:52.856277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 50
27.2%
1 12
 
6.5%
2 11
 
6.0%
3 6
 
3.3%
정 5
 
2.7%
대 5
 
2.7%
평 5
 
2.7%
수 5
 
2.7%
신 4
 
2.2%
자 4
 
2.2%
Other values (44) 77
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
83.7%
Decimal Number 30
 
16.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
32.5%
정 5
 
3.2%
대 5
 
3.2%
평 5
 
3.2%
수 5
 
3.2%
신 4
 
2.6%
자 4
 
2.6%
흥 4
 
2.6%
원 4
 
2.6%
태 4
 
2.6%
Other values (40) 64
41.6%
Decimal Number
ValueCountFrequency (%)
1 12
40.0%
2 11
36.7%
3 6
20.0%
4 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
83.7%
Common 30
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
32.5%
정 5
 
3.2%
대 5
 
3.2%
평 5
 
3.2%
수 5
 
3.2%
신 4
 
2.6%
자 4
 
2.6%
흥 4
 
2.6%
원 4
 
2.6%
태 4
 
2.6%
Other values (40) 64
41.6%
Common
ValueCountFrequency (%)
1 12
40.0%
2 11
36.7%
3 6
20.0%
4 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
83.7%
ASCII 30
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 50
32.5%
정 5
 
3.2%
대 5
 
3.2%
평 5
 
3.2%
수 5
 
3.2%
신 4
 
2.6%
자 4
 
2.6%
흥 4
 
2.6%
원 4
 
2.6%
태 4
 
2.6%
Other values (40) 64
41.6%
ASCII
ValueCountFrequency (%)
1 12
40.0%
2 11
36.7%
3 6
20.0%
4 1
 
3.3%

한부모가족_세대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.46
Minimum0
Maximum163
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:53.003339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112.25
median40
Q378
95-th percentile113
Maximum163
Range163
Interquartile range (IQR)65.75

Descriptive statistics

Standard deviation41.368533
Coefficient of variation (CV)0.8716505
Kurtosis-0.34561547
Mean47.46
Median Absolute Deviation (MAD)30
Skewness0.74029804
Sum2373
Variance1711.3555
MonotonicityNot monotonic
2023-12-12T22:23:53.142785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 3
 
6.0%
86 2
 
4.0%
2 2
 
4.0%
113 2
 
4.0%
51 2
 
4.0%
0 2
 
4.0%
17 2
 
4.0%
11 2
 
4.0%
78 2
 
4.0%
12 1
 
2.0%
Other values (30) 30
60.0%
ValueCountFrequency (%)
0 2
4.0%
2 2
4.0%
4 1
 
2.0%
6 1
 
2.0%
7 3
6.0%
8 1
 
2.0%
11 2
4.0%
12 1
 
2.0%
13 1
 
2.0%
14 1
 
2.0%
ValueCountFrequency (%)
163 1
2.0%
125 1
2.0%
113 2
4.0%
112 1
2.0%
107 1
2.0%
106 1
2.0%
96 1
2.0%
95 1
2.0%
86 2
4.0%
81 1
2.0%

한부모가족_가구원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117
Minimum0
Maximum408
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:53.324834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q129.5
median98.5
Q3192.75
95-th percentile284.7
Maximum408
Range408
Interquartile range (IQR)163.25

Descriptive statistics

Standard deviation103.28463
Coefficient of variation (CV)0.88277459
Kurtosis-0.30808046
Mean117
Median Absolute Deviation (MAD)76
Skewness0.76004966
Sum5850
Variance10667.714
MonotonicityNot monotonic
2023-12-12T22:23:53.477921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
28 2
 
4.0%
14 2
 
4.0%
0 2
 
4.0%
4 2
 
4.0%
45 2
 
4.0%
205 1
 
2.0%
139 1
 
2.0%
253 1
 
2.0%
56 1
 
2.0%
41 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
0 2
4.0%
4 2
4.0%
8 1
2.0%
13 1
2.0%
14 2
4.0%
18 1
2.0%
19 1
2.0%
28 2
4.0%
29 1
2.0%
31 1
2.0%
ValueCountFrequency (%)
408 1
2.0%
305 1
2.0%
291 1
2.0%
277 1
2.0%
274 1
2.0%
271 1
2.0%
253 1
2.0%
251 1
2.0%
231 1
2.0%
220 1
2.0%

모자가족_세대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum0
Maximum141
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:53.625045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q19
median29.5
Q364.25
95-th percentile96.75
Maximum141
Range141
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation34.724719
Coefficient of variation (CV)0.90194076
Kurtosis0.0061885854
Mean38.5
Median Absolute Deviation (MAD)23.5
Skewness0.86254085
Sum1925
Variance1205.8061
MonotonicityNot monotonic
2023-12-12T22:23:53.784908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 3
 
6.0%
5 3
 
6.0%
55 2
 
4.0%
67 2
 
4.0%
47 2
 
4.0%
40 2
 
4.0%
0 2
 
4.0%
12 2
 
4.0%
76 1
 
2.0%
2 1
 
2.0%
Other values (30) 30
60.0%
ValueCountFrequency (%)
0 2
4.0%
1 1
 
2.0%
2 1
 
2.0%
3 1
 
2.0%
4 1
 
2.0%
5 3
6.0%
7 1
 
2.0%
8 1
 
2.0%
9 3
6.0%
10 1
 
2.0%
ValueCountFrequency (%)
141 1
2.0%
104 1
2.0%
99 1
2.0%
94 1
2.0%
91 1
2.0%
87 1
2.0%
83 1
2.0%
82 1
2.0%
79 1
2.0%
76 1
2.0%

모자가족_가구원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.98
Minimum0
Maximum348
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:53.921089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q123
median73.5
Q3156.75
95-th percentile241.65
Maximum348
Range348
Interquartile range (IQR)133.75

Descriptive statistics

Standard deviation86.771454
Coefficient of variation (CV)0.91357606
Kurtosis-0.071984975
Mean94.98
Median Absolute Deviation (MAD)60.5
Skewness0.85922258
Sum4749
Variance7529.2853
MonotonicityNot monotonic
2023-12-12T22:23:54.347175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
34 3
 
6.0%
85 3
 
6.0%
0 2
 
4.0%
23 2
 
4.0%
181 2
 
4.0%
119 2
 
4.0%
254 1
 
2.0%
6 1
 
2.0%
47 1
 
2.0%
14 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
0 2
4.0%
2 1
2.0%
4 1
2.0%
6 1
2.0%
9 1
2.0%
10 1
2.0%
11 1
2.0%
12 1
2.0%
14 1
2.0%
21 1
2.0%
ValueCountFrequency (%)
348 1
2.0%
254 1
2.0%
243 1
2.0%
240 1
2.0%
228 1
2.0%
223 1
2.0%
210 1
2.0%
200 1
2.0%
193 1
2.0%
181 2
4.0%

부자가족_세대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.96
Minimum0
Maximum24
Zeros5
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:54.504645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q315.75
95-th percentile21
Maximum24
Range24
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation7.3566851
Coefficient of variation (CV)0.82105861
Kurtosis-1.218554
Mean8.96
Median Absolute Deviation (MAD)6
Skewness0.38273513
Sum448
Variance54.120816
MonotonicityNot monotonic
2023-12-12T22:23:54.659918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 5
 
10.0%
0 5
 
10.0%
16 4
 
8.0%
19 4
 
8.0%
2 4
 
8.0%
4 4
 
8.0%
10 3
 
6.0%
11 3
 
6.0%
3 3
 
6.0%
14 2
 
4.0%
Other values (10) 13
26.0%
ValueCountFrequency (%)
0 5
10.0%
1 5
10.0%
2 4
8.0%
3 3
6.0%
4 4
8.0%
5 2
 
4.0%
7 1
 
2.0%
8 2
 
4.0%
10 3
6.0%
11 3
6.0%
ValueCountFrequency (%)
24 1
 
2.0%
22 1
 
2.0%
21 2
4.0%
19 4
8.0%
18 1
 
2.0%
16 4
8.0%
15 1
 
2.0%
14 2
4.0%
13 1
 
2.0%
12 1
 
2.0%

부자가족_가구원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.02
Minimum0
Maximum60
Zeros5
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:23:54.949142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median20.5
Q337
95-th percentile51
Maximum60
Range60
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.052633
Coefficient of variation (CV)0.81982892
Kurtosis-1.2072938
Mean22.02
Median Absolute Deviation (MAD)15.5
Skewness0.36438863
Sum1101
Variance325.89755
MonotonicityNot monotonic
2023-12-12T22:23:55.098392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 5
 
10.0%
2 5
 
10.0%
9 4
 
8.0%
51 4
 
8.0%
5 3
 
6.0%
34 3
 
6.0%
38 2
 
4.0%
10 2
 
4.0%
27 2
 
4.0%
43 2
 
4.0%
Other values (18) 18
36.0%
ValueCountFrequency (%)
0 5
10.0%
2 5
10.0%
4 1
 
2.0%
5 3
6.0%
7 1
 
2.0%
9 4
8.0%
10 2
 
4.0%
11 1
 
2.0%
14 1
 
2.0%
18 1
 
2.0%
ValueCountFrequency (%)
60 1
 
2.0%
51 4
8.0%
48 1
 
2.0%
46 1
 
2.0%
43 2
4.0%
42 1
 
2.0%
41 1
 
2.0%
38 2
4.0%
34 3
6.0%
32 1
 
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2023-04-30 00:00:00
Maximum2023-04-30 00:00:00
2023-12-12T22:23:55.202567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:55.300226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:23:51.045755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:47.906448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.889170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.490027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.003876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.559530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:51.134373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.022115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.008684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.594936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.082689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.646837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:51.222449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.464444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.112360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.712092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.172857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.732272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:51.357255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.566441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.210089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.790096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.264180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.807817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:51.445985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.681559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.308629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.868345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.370909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.883788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:51.537756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:48.784904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.398909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:49.933531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.473796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:23:50.961010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:23:55.370798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별한부모가족_세대수한부모가족_가구원수모자가족_세대수모자가족_가구원수부자가족_세대수부자가족_가구원수
구별1.0001.0000.7190.7520.7490.8250.2070.557
동별1.0001.0001.0001.0001.0001.0001.0001.000
한부모가족_세대수0.7191.0001.0000.9890.9740.9750.7480.824
한부모가족_가구원수0.7521.0000.9891.0000.9660.9770.8130.823
모자가족_세대수0.7491.0000.9740.9661.0000.9870.7180.768
모자가족_가구원수0.8251.0000.9750.9770.9871.0000.7280.761
부자가족_세대수0.2071.0000.7480.8130.7180.7281.0000.957
부자가족_가구원수0.5571.0000.8240.8230.7680.7610.9571.000
2023-12-12T22:23:55.483993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한부모가족_세대수한부모가족_가구원수모자가족_세대수모자가족_가구원수부자가족_세대수부자가족_가구원수구별
한부모가족_세대수1.0000.9950.9950.9900.9150.9200.394
한부모가족_가구원수0.9951.0000.9930.9940.9080.9210.424
모자가족_세대수0.9950.9931.0000.9970.8840.8930.420
모자가족_가구원수0.9900.9940.9971.0000.8780.8910.497
부자가족_세대수0.9150.9080.8840.8781.0000.9930.000
부자가족_가구원수0.9200.9210.8930.8910.9931.0000.415
구별0.3940.4240.4200.4970.0000.4151.000

Missing values

2023-12-12T22:23:51.652498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:23:51.834126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구별동별한부모가족_세대수한부모가족_가구원수모자가족_세대수모자가족_가구원수부자가족_세대수부자가족_가구원수데이터기준일자
0수정구신흥1동862057618110242023-04-30
1수정구신흥2동143410244102023-04-30
2수정구신흥3동691675111918482023-04-30
3수정구태평1동50126348516412023-04-30
4수정구태평2동962318219314382023-04-30
5수정구태평3동711865514416422023-04-30
6수정구태평4동862206717419462023-04-30
7수정구수진1동781745913619382023-04-30
8수정구수진2동55128471108182023-04-30
9수정구단대동571454711910262023-04-30
구별동별한부모가족_세대수한부모가족_가구원수모자가족_세대수모자가족_가구원수부자가족_세대수부자가족_가구원수데이터기준일자
40분당구야탑1동1231822492023-04-30
41분당구야탑2동819512372023-04-30
42분당구야탑3동681755514313322023-04-30
43분당구금곡동51112398512272023-04-30
44분당구구미동235518455102023-04-30
45분당구구미1동714510242023-04-30
46분당구판교동4836122023-04-30
47분당구삼평동782126718111312023-04-30
48분당구백현동12530510425421512023-04-30
49분당구운중동71849392023-04-30