Overview

Dataset statistics

Number of variables10
Number of observations97
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory83.4 B

Variable types

Numeric2
Categorical4
Text3
DateTime1

Dataset

Description광주광역시 주민센터 현황(주소, 전화번호, 관할자치구 등) ※ 「지방자치법」 제6조에 따라 읍면동 사무소의 소재지는 해당 기초 자치단체 조례로 정하게 되어 있어 게시된 자료와 일부 상이할 수 있으며 변동사항 등은 해당 자치구로 문의하시기 바랍니다.
URLhttps://www.data.go.kr/data/3082663/fileData.do

Alerts

시도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관할자치구 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
시군구 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
자치구연락처 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 시군구 and 2 other fieldsHigh correlation
우편번호 is highly overall correlated with 시군구 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
우편번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:21:05.952384
Analysis finished2023-12-12 06:21:07.893144
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T15:21:08.104213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2023-12-12T15:21:08.316363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
광주광역시
97 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 97
100.0%

Length

2023-12-12T15:21:08.530965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:21:08.661495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 97
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
북구
28 
광산구
21 
서구
18 
남구
17 
동구
13 

Length

Max length3
Median length2
Mean length2.2164948
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 28
28.9%
광산구 21
21.6%
서구 18
18.6%
남구 17
17.5%
동구 13
13.4%

Length

2023-12-12T15:21:08.814111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:21:08.964126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 28
28.9%
광산구 21
21.6%
서구 18
18.6%
남구 17
17.5%
동구 13
13.4%

읍면동
Text

Distinct96
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T15:21:09.226689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.443299
Min length8

Characters and Unicode

Total characters916
Distinct characters86
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

Unique95 ?
Unique (%)97.9%

Sample

1st row충장동행정복지센터
2nd row동명동행정복지센터
3rd row계림1동행정복지센터
4th row계림2동행정복지센터
5th row산수1동행정복지센터
ValueCountFrequency (%)
우산동행정복지센터 2
 
2.1%
충장동행정복지센터 1
 
1.0%
문화동행정복지센터 1
 
1.0%
오치1동행정복지센터 1
 
1.0%
매곡동행정복지센터 1
 
1.0%
일곡동행정복지센터 1
 
1.0%
삼각동행정복지센터 1
 
1.0%
두암3동행정복지센터 1
 
1.0%
두암2동행정복지센터 1
 
1.0%
두암1동행정복지센터 1
 
1.0%
Other values (86) 86
88.7%
2023-12-12T15:21:09.746483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 103
11.2%
동 101
11.0%
지 101
11.0%
행 97
10.6%
복 97
10.6%
센 97
10.6%
터 97
10.6%
2 20
 
2.2%
1 20
 
2.2%
산 11
 
1.2%
Other values (76) 172
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 868
94.8%
Decimal Number 48
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 103
11.9%
동 101
11.6%
지 101
11.6%
행 97
11.2%
복 97
11.2%
센 97
11.2%
터 97
11.2%
산 11
 
1.3%
암 8
 
0.9%
월 8
 
0.9%
Other values (71) 148
17.1%
Decimal Number
ValueCountFrequency (%)
2 20
41.7%
1 20
41.7%
3 5
 
10.4%
4 2
 
4.2%
5 1
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
94.8%
Common 48
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 103
11.9%
동 101
11.6%
지 101
11.6%
행 97
11.2%
복 97
11.2%
센 97
11.2%
터 97
11.2%
산 11
 
1.3%
암 8
 
0.9%
월 8
 
0.9%
Other values (71) 148
17.1%
Common
ValueCountFrequency (%)
2 20
41.7%
1 20
41.7%
3 5
 
10.4%
4 2
 
4.2%
5 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
94.8%
ASCII 48
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 103
11.9%
동 101
11.6%
지 101
11.6%
행 97
11.2%
복 97
11.2%
센 97
11.2%
터 97
11.2%
산 11
 
1.3%
암 8
 
0.9%
월 8
 
0.9%
Other values (71) 148
17.1%
ASCII
ValueCountFrequency (%)
2 20
41.7%
1 20
41.7%
3 5
 
10.4%
4 2
 
4.2%
5 1
 
2.1%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61692.113
Minimum61015
Maximum62461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T15:21:09.967165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61015
5-th percentile61069.8
Q161235
median61662
Q362026
95-th percentile62408.8
Maximum62461
Range1446
Interquartile range (IQR)791

Descriptive statistics

Standard deviation450.18283
Coefficient of variation (CV)0.0072972509
Kurtosis-1.268255
Mean61692.113
Median Absolute Deviation (MAD)414
Skewness0.16866936
Sum5984135
Variance202664.58
MonotonicityNot monotonic
2023-12-12T15:21:10.511154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61480 1
 
1.0%
61015 1
 
1.0%
61052 1
 
1.0%
61122 1
 
1.0%
61061 1
 
1.0%
61038 1
 
1.0%
61057 1
 
1.0%
61161 1
 
1.0%
61196 1
 
1.0%
61198 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
61015 1
1.0%
61038 1
1.0%
61052 1
1.0%
61057 1
1.0%
61061 1
1.0%
61072 1
1.0%
61087 1
1.0%
61096 1
1.0%
61102 1
1.0%
61122 1
1.0%
ValueCountFrequency (%)
62461 1
1.0%
62444 1
1.0%
62430 1
1.0%
62427 1
1.0%
62420 1
1.0%
62406 1
1.0%
62391 1
1.0%
62380 1
1.0%
62363 1
1.0%
62347 1
1.0%

소재지도로명주소
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T15:21:10.993008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length20.051546
Min length12

Characters and Unicode

Total characters1945
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row광주광역시 동구 충장로58번길 16
2nd row광주광역시 동구 동명로26번길 13
3rd row광주광역시 동구 경양로247번길 26
4th row광주 동구 계림로30번길 15, 227동1층상가13호
5th row광주광역시 동구 무등로449번길 12
ValueCountFrequency (%)
광주광역시 96
24.6%
북구 28
 
7.2%
광산구 20
 
5.1%
서구 18
 
4.6%
남구 17
 
4.3%
동구 13
 
3.3%
12 4
 
1.0%
임시청사 3
 
0.8%
9 3
 
0.8%
14 3
 
0.8%
Other values (173) 186
47.6%
2023-12-12T15:21:11.737497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
 
15.2%
광 216
 
11.1%
시 99
 
5.1%
주 98
 
5.0%
역 96
 
4.9%
구 96
 
4.9%
로 93
 
4.8%
1 80
 
4.1%
2 61
 
3.1%
길 51
 
2.6%
Other values (115) 760
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
62.8%
Decimal Number 353
 
18.1%
Space Separator 295
 
15.2%
Open Punctuation 31
 
1.6%
Close Punctuation 31
 
1.6%
Dash Punctuation 12
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 216
17.7%
시 99
 
8.1%
주 98
 
8.0%
역 96
 
7.9%
구 96
 
7.9%
로 93
 
7.6%
길 51
 
4.2%
동 50
 
4.1%
번 47
 
3.8%
산 31
 
2.5%
Other values (100) 345
28.2%
Decimal Number
ValueCountFrequency (%)
1 80
22.7%
2 61
17.3%
3 42
11.9%
4 29
 
8.2%
5 29
 
8.2%
9 26
 
7.4%
6 25
 
7.1%
0 22
 
6.2%
8 20
 
5.7%
7 19
 
5.4%
Space Separator
ValueCountFrequency (%)
295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1222
62.8%
Common 723
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 216
17.7%
시 99
 
8.1%
주 98
 
8.0%
역 96
 
7.9%
구 96
 
7.9%
로 93
 
7.6%
길 51
 
4.2%
동 50
 
4.1%
번 47
 
3.8%
산 31
 
2.5%
Other values (100) 345
28.2%
Common
ValueCountFrequency (%)
295
40.8%
1 80
 
11.1%
2 61
 
8.4%
3 42
 
5.8%
( 31
 
4.3%
) 31
 
4.3%
4 29
 
4.0%
5 29
 
4.0%
9 26
 
3.6%
6 25
 
3.5%
Other values (5) 74
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1222
62.8%
ASCII 723
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
40.8%
1 80
 
11.1%
2 61
 
8.4%
3 42
 
5.8%
( 31
 
4.3%
) 31
 
4.3%
4 29
 
4.0%
5 29
 
4.0%
9 26
 
3.6%
6 25
 
3.5%
Other values (5) 74
 
10.2%
Hangul
ValueCountFrequency (%)
광 216
17.7%
시 99
 
8.1%
주 98
 
8.0%
역 96
 
7.9%
구 96
 
7.9%
로 93
 
7.6%
길 51
 
4.2%
동 50
 
4.1%
번 47
 
3.8%
산 31
 
2.5%
Other values (100) 345
28.2%

전화번호
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T15:21:12.104676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041237
Min length12

Characters and Unicode

Total characters1168
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row062-608-3500
2nd row062-608-3530
3rd row062-608-3560
4th row062-608-3594
5th row062-608-3620
ValueCountFrequency (%)
062-608-3500 1
 
1.0%
062-410-8613 1
 
1.0%
062-410-8833 1
 
1.0%
062-410-8826 1
 
1.0%
062-410-8813 1
 
1.0%
062-410-8803 1
 
1.0%
062-410-8793 1
 
1.0%
062-410-8783 1
 
1.0%
062-410-8773 1
 
1.0%
062-410-8763 1
 
1.0%
Other values (87) 87
89.7%
2023-12-12T15:21:12.667524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 224
19.2%
- 194
16.6%
6 188
16.1%
2 141
12.1%
4 83
 
7.1%
3 76
 
6.5%
7 75
 
6.4%
8 73
 
6.2%
5 45
 
3.9%
1 37
 
3.2%
Other values (2) 32
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 970
83.0%
Dash Punctuation 194
 
16.6%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 224
23.1%
6 188
19.4%
2 141
14.5%
4 83
 
8.6%
3 76
 
7.8%
7 75
 
7.7%
8 73
 
7.5%
5 45
 
4.6%
1 37
 
3.8%
9 28
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 224
19.2%
- 194
16.6%
6 188
16.1%
2 141
12.1%
4 83
 
7.1%
3 76
 
6.5%
7 75
 
6.4%
8 73
 
6.2%
5 45
 
3.9%
1 37
 
3.2%
Other values (2) 32
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 224
19.2%
- 194
16.6%
6 188
16.1%
2 141
12.1%
4 83
 
7.1%
3 76
 
6.5%
7 75
 
6.4%
8 73
 
6.2%
5 45
 
3.9%
1 37
 
3.2%
Other values (2) 32
 
2.7%

관할자치구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
북구청
28 
광산구청
21 
서구청
18 
남구청
17 
동구청
13 

Length

Max length4
Median length3
Mean length3.4020619
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구청 28
28.9%
광산구청 21
21.6%
서구청 18
18.6%
남구청 17
17.5%
동구청 13
13.4%

Length

2023-12-12T15:21:12.896678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:21:13.037015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구청 28
28.9%
광산구청 21
21.6%
서구청 18
18.6%
남구청 17
17.5%
동구청 13
13.4%

자치구연락처
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
062-410-8000
28 
062-960-8114
21 
062-365-4114
18 
062-651-9020
17 
062-608-2114
13 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row062-608-2114
2nd row062-608-2114
3rd row062-608-2114
4th row062-608-2114
5th row062-608-2114

Common Values

ValueCountFrequency (%)
062-410-8000 28
28.9%
062-960-8114 21
21.6%
062-365-4114 18
18.6%
062-651-9020 17
17.5%
062-608-2114 13
13.4%

Length

2023-12-12T15:21:13.196692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:21:13.392521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
062-410-8000 28
28.9%
062-960-8114 21
21.6%
062-365-4114 18
18.6%
062-651-9020 17
17.5%
062-608-2114 13
13.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T15:21:13.587870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:21:13.733160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:21:06.783247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:21:06.552419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:21:06.920015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:21:06.665858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:21:13.871607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구읍면동우편번호소재지도로명주소전화번호관할자치구자치구연락처
연번1.0000.9960.9430.9571.0001.0000.9960.996
시군구0.9961.0000.9241.0001.0001.0001.0001.000
읍면동0.9430.9241.0000.9711.0001.0000.9240.924
우편번호0.9571.0000.9711.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
관할자치구0.9961.0000.9241.0001.0001.0001.0001.000
자치구연락처0.9961.0000.9241.0001.0001.0001.0001.000
2023-12-12T15:21:14.055303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할자치구시군구자치구연락처
관할자치구1.0001.0001.000
시군구1.0001.0001.000
자치구연락처1.0001.0001.000
2023-12-12T15:21:14.202903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시군구관할자치구자치구연락처
연번1.0000.1940.8850.8850.885
우편번호0.1941.0000.9720.9720.972
시군구0.8850.9721.0001.0001.000
관할자치구0.8850.9721.0001.0001.000
자치구연락처0.8850.9721.0001.0001.000

Missing values

2023-12-12T15:21:07.453462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:21:07.792450image/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

연번시도시군구읍면동우편번호소재지도로명주소전화번호관할자치구자치구연락처데이터기준일자
01광주광역시동구충장동행정복지센터61480광주광역시 동구 충장로58번길 16062-608-3500동구청062-608-21142022-12-31
12광주광역시동구동명동행정복지센터61434광주광역시 동구 동명로26번길 13062-608-3530동구청062-608-21142022-12-31
23광주광역시동구계림1동행정복지센터61422광주광역시 동구 경양로247번길 26062-608-3560동구청062-608-21142022-12-31
34광주광역시동구계림2동행정복지센터61414광주 동구 계림로30번길 15, 227동1층상가13호062-608-3594동구청062-608-21142022-12-31
45광주광역시동구산수1동행정복지센터61406광주광역시 동구 무등로449번길 12062-608-3620동구청062-608-21142022-12-31
56광주광역시동구산수2동행정복지센터61437광주광역시 동구 필문대로191번길 43-24062-608-3650동구청062-608-21142022-12-31
67광주광역시동구지산1동행정복지센터61445광주광역시 동구 지산로 57062-608-3680동구청062-608-21142022-12-31
78광주광역시동구지산2동행정복지센터61444광주광역시 동구 지호로 51062-608-3710동구청062-608-21142022-12-31
89광주광역시동구서남동행정복지센터61468광주광역시 동구 서남로 14062-608-3740동구청062-608-21142022-12-31
910광주광역시동구학동행정복지센터61456광주광역시 동구 천변우로 539062-608-3770동구청062-608-21142022-12-31
연번시도시군구읍면동우편번호소재지도로명주소전화번호관할자치구자치구연락처데이터기준일자
8788광주광역시광산구신가동행정복지센터62309광주광역시 광산구 목련로382번안길 36-1062-960-7746광산구청062-960-81142022-12-31
8889광주광역시광산구운남동행정복지센터62317광주광역시 광산구 목련로217번길 10062-960-7753광산구청062-960-81142022-12-31
8990광주광역시광산구신창동행정복지센터62251광주광역시 광산구 왕버들로 291062-960-7772광산구청062-960-81142022-12-31
9091광주광역시광산구수완동행정복지센터62247광주광역시 광산구 장덕로 158062-960-7807광산구청062-960-81142022-12-31
9192광주광역시광산구하남동행정복지센터62336광주광역시 광산구 하남대로54번길 15062-960-7955광산구청062-960-81142022-12-31
9293광주광역시광산구임곡동행정복지센터62201광주광역시 광산구 고봉로 788062-960-7822광산구청062-960-81142022-12-31
9394광주광역시광산구동곡동행정복지센터62461광주광역시 광산구 동곡로 151-56062-960-7836광산구청062-960-81142022-12-31
9495광주광역시광산구평동행정복지센터62420광주광역시 광산구 평동로 790062-960-7842광산구청062-960-81142022-12-31
9596광주광역시광산구삼도동행정복지센터62406광주광역시 광산구 오운로 433-1062-960-7852광산구청062-960-81142022-12-31
9697광주광역시광산구본량동행정복지센터62204광주광역시 광산구 용진로 379062-960-7868광산구청062-960-81142022-12-31