Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.3 B

Variable types

Categorical1
Text4
Numeric2
DateTime1

Dataset

Description경기도 이천시 내의 관공서 현황으로 관공서명, 전화번호, 소재지 도로명 주소, 소재지 지번주소, 위경도 위치정보 등을 제공
URLhttps://www.data.go.kr/data/15043415/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관공서명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:00:38.976904
Analysis finished2023-12-12 21:00:39.793403
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
이천시
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이천시 21
100.0%

Length

2023-12-13T06:00:39.863926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:00:39.977583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이천시 21
100.0%

관공서명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:00:40.179306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.1428571
Min length4

Characters and Unicode

Total characters171
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row이천시청
2nd row장호원읍행정복지센터
3rd row부발읍행정복지센터
4th row신둔면행정복지센터
5th row백사면행정복지센터
ValueCountFrequency (%)
이천시청 1
 
4.8%
창전동행정복지센터 1
 
4.8%
체육지원센터 1
 
4.8%
상하수도사업소 1
 
4.8%
농업기술센터 1
 
4.8%
마장건강생활지원센터 1
 
4.8%
남부통합보건지소 1
 
4.8%
이천시보건소 1
 
4.8%
중리동행정복지센터 1
 
4.8%
증포동행정복지센터 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T06:00:40.570446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 16
 
9.4%
터 16
 
9.4%
센 16
 
9.4%
행 13
 
7.6%
정 13
 
7.6%
복 13
 
7.6%
면 8
 
4.7%
소 4
 
2.3%
건 3
 
1.8%
동 3
 
1.8%
Other values (50) 66
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 16
 
9.4%
터 16
 
9.4%
센 16
 
9.4%
행 13
 
7.6%
정 13
 
7.6%
복 13
 
7.6%
면 8
 
4.7%
소 4
 
2.3%
건 3
 
1.8%
동 3
 
1.8%
Other values (50) 66
38.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 16
 
9.4%
터 16
 
9.4%
센 16
 
9.4%
행 13
 
7.6%
정 13
 
7.6%
복 13
 
7.6%
면 8
 
4.7%
소 4
 
2.3%
건 3
 
1.8%
동 3
 
1.8%
Other values (50) 66
38.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 16
 
9.4%
터 16
 
9.4%
센 16
 
9.4%
행 13
 
7.6%
정 13
 
7.6%
복 13
 
7.6%
면 8
 
4.7%
소 4
 
2.3%
건 3
 
1.8%
동 3
 
1.8%
Other values (50) 66
38.6%

전화번호안내
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:00:40.747087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)85.7%

Sample

1st row031-644-2000
2nd row031-641-3001
3rd row031-633-0461
4th row031-632-7001
5th row031-644-8532
ValueCountFrequency (%)
031-644-2000 3
 
14.3%
031-644-8001 1
 
4.8%
031-644-4212 1
 
4.8%
031-645-3430 1
 
4.8%
031-644-4091 1
 
4.8%
031-644-4011 1
 
4.8%
031-633-9003 1
 
4.8%
031-633-1002 1
 
4.8%
031-633-9001 1
 
4.8%
031-641-6001 1
 
4.8%
Other values (9) 9
42.9%
2023-12-13T06:00:41.084389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
22.6%
- 42
16.7%
3 41
16.3%
1 39
15.5%
4 27
10.7%
6 23
9.1%
2 14
 
5.6%
9 4
 
1.6%
8 2
 
0.8%
5 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
27.1%
3 41
19.5%
1 39
18.6%
4 27
12.9%
6 23
11.0%
2 14
 
6.7%
9 4
 
1.9%
8 2
 
1.0%
5 2
 
1.0%
7 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
22.6%
- 42
16.7%
3 41
16.3%
1 39
15.5%
4 27
10.7%
6 23
9.1%
2 14
 
5.6%
9 4
 
1.6%
8 2
 
0.8%
5 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
22.6%
- 42
16.7%
3 41
16.3%
1 39
15.5%
4 27
10.7%
6 23
9.1%
2 14
 
5.6%
9 4
 
1.6%
8 2
 
0.8%
5 2
 
0.8%

소재지도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:00:41.326981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.761905
Min length14

Characters and Unicode

Total characters415
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 이천시 부악로 40
2nd row경기도 이천시 장호원읍 서동대로 8844-6
3rd row경기도 이천시 부발읍 무촌로 121
4th row경기도 이천시 신둔면 경충대로 3128
5th row경기도 이천시 백사면 현방로 65
ValueCountFrequency (%)
이천시 21
21.4%
경기도 20
20.4%
부발읍 3
 
3.1%
부악로 3
 
3.1%
마장면 2
 
2.0%
설성면 2
 
2.0%
293 1
 
1.0%
15 1
 
1.0%
6-5 1
 
1.0%
경기 1
 
1.0%
Other values (43) 43
43.9%
2023-12-13T06:00:41.683995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
18.6%
천 24
 
5.8%
경 22
 
5.3%
이 22
 
5.3%
시 21
 
5.1%
기 21
 
5.1%
로 21
 
5.1%
도 20
 
4.8%
1 19
 
4.6%
2 11
 
2.7%
Other values (52) 157
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
60.7%
Decimal Number 81
 
19.5%
Space Separator 77
 
18.6%
Dash Punctuation 5
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 24
 
9.5%
경 22
 
8.7%
이 22
 
8.7%
시 21
 
8.3%
기 21
 
8.3%
로 21
 
8.3%
도 20
 
7.9%
면 10
 
4.0%
부 8
 
3.2%
번 7
 
2.8%
Other values (40) 76
30.2%
Decimal Number
ValueCountFrequency (%)
1 19
23.5%
2 11
13.6%
5 10
12.3%
3 10
12.3%
6 7
 
8.6%
8 6
 
7.4%
0 6
 
7.4%
4 4
 
4.9%
7 4
 
4.9%
9 4
 
4.9%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
60.7%
Common 163
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 24
 
9.5%
경 22
 
8.7%
이 22
 
8.7%
시 21
 
8.3%
기 21
 
8.3%
로 21
 
8.3%
도 20
 
7.9%
면 10
 
4.0%
부 8
 
3.2%
번 7
 
2.8%
Other values (40) 76
30.2%
Common
ValueCountFrequency (%)
77
47.2%
1 19
 
11.7%
2 11
 
6.7%
5 10
 
6.1%
3 10
 
6.1%
6 7
 
4.3%
8 6
 
3.7%
0 6
 
3.7%
- 5
 
3.1%
4 4
 
2.5%
Other values (2) 8
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
60.7%
ASCII 163
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
47.2%
1 19
 
11.7%
2 11
 
6.7%
5 10
 
6.1%
3 10
 
6.1%
6 7
 
4.3%
8 6
 
3.7%
0 6
 
3.7%
- 5
 
3.1%
4 4
 
2.5%
Other values (2) 8
 
4.9%
Hangul
ValueCountFrequency (%)
천 24
 
9.5%
경 22
 
8.7%
이 22
 
8.7%
시 21
 
8.3%
기 21
 
8.3%
로 21
 
8.3%
도 20
 
7.9%
면 10
 
4.0%
부 8
 
3.2%
번 7
 
2.8%
Other values (40) 76
30.2%

소재지지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:00:41.923703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.095238
Min length15

Characters and Unicode

Total characters401
Distinct characters68
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 이천시 중리동 490
2nd row경기도 이천시 장호원읍 진암리 17-21
3rd row경기도 이천시 부발읍 무촌리 168-8
4th row경기도 이천시 신둔면 수광리 153-1
5th row경기도 이천시 백사면 현방리 87-7
ValueCountFrequency (%)
경기도 21
21.4%
이천시 21
21.4%
중리동 4
 
4.1%
부발읍 3
 
3.1%
마장면 2
 
2.0%
증포동 2
 
2.0%
무촌리 2
 
2.0%
설성면 2
 
2.0%
386-1 1
 
1.0%
창전동 1
 
1.0%
Other values (39) 39
39.8%
2023-12-13T06:00:42.290325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
19.2%
천 22
 
5.5%
경 21
 
5.2%
도 21
 
5.2%
이 21
 
5.2%
시 21
 
5.2%
기 21
 
5.2%
1 17
 
4.2%
리 16
 
4.0%
2 15
 
3.7%
Other values (58) 149
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
58.4%
Space Separator 77
 
19.2%
Decimal Number 76
 
19.0%
Dash Punctuation 14
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 22
 
9.4%
경 21
 
9.0%
도 21
 
9.0%
이 21
 
9.0%
시 21
 
9.0%
기 21
 
9.0%
리 16
 
6.8%
면 10
 
4.3%
동 7
 
3.0%
중 5
 
2.1%
Other values (46) 69
29.5%
Decimal Number
ValueCountFrequency (%)
1 17
22.4%
2 15
19.7%
8 9
11.8%
4 7
9.2%
6 7
9.2%
5 6
 
7.9%
3 5
 
6.6%
7 4
 
5.3%
0 4
 
5.3%
9 2
 
2.6%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
58.4%
Common 167
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 22
 
9.4%
경 21
 
9.0%
도 21
 
9.0%
이 21
 
9.0%
시 21
 
9.0%
기 21
 
9.0%
리 16
 
6.8%
면 10
 
4.3%
동 7
 
3.0%
중 5
 
2.1%
Other values (46) 69
29.5%
Common
ValueCountFrequency (%)
77
46.1%
1 17
 
10.2%
2 15
 
9.0%
- 14
 
8.4%
8 9
 
5.4%
4 7
 
4.2%
6 7
 
4.2%
5 6
 
3.6%
3 5
 
3.0%
7 4
 
2.4%
Other values (2) 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
58.4%
ASCII 167
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
46.1%
1 17
 
10.2%
2 15
 
9.0%
- 14
 
8.4%
8 9
 
5.4%
4 7
 
4.2%
6 7
 
4.2%
5 6
 
3.6%
3 5
 
3.0%
7 4
 
2.4%
Other values (2) 6
 
3.6%
Hangul
ValueCountFrequency (%)
천 22
 
9.4%
경 21
 
9.0%
도 21
 
9.0%
이 21
 
9.0%
시 21
 
9.0%
기 21
 
9.0%
리 16
 
6.8%
면 10
 
4.3%
동 7
 
3.0%
중 5
 
2.1%
Other values (46) 69
29.5%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.239009
Minimum37.094528
Maximum37.339014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T06:00:42.435410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.094528
5-th percentile37.106443
Q137.223229
median37.272374
Q337.283856
95-th percentile37.306469
Maximum37.339014
Range0.244486
Interquartile range (IQR)0.060627

Descriptive statistics

Standard deviation0.071436942
Coefficient of variation (CV)0.0019183363
Kurtosis-0.1824546
Mean37.239009
Median Absolute Deviation (MAD)0.02247357
Skewness-1.0148343
Sum782.01919
Variance0.0051032367
MonotonicityNot monotonic
2023-12-13T06:00:42.573782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.272374 1
 
4.8%
37.115146 1
 
4.8%
37.27388039 1
 
4.8%
37.2862804 1
 
4.8%
37.27115443 1
 
4.8%
37.2726785 1
 
4.8%
37.24990043 1
 
4.8%
37.10644333 1
 
4.8%
37.28898234 1
 
4.8%
37.278087 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.094528 1
4.8%
37.10644333 1
4.8%
37.115146 1
4.8%
37.132645 1
4.8%
37.171863 1
4.8%
37.223229 1
4.8%
37.230044 1
4.8%
37.249129 1
4.8%
37.24990043 1
4.8%
37.27115443 1
4.8%
ValueCountFrequency (%)
37.339014 1
4.8%
37.306469 1
4.8%
37.290389 1
4.8%
37.28898234 1
4.8%
37.2862804 1
4.8%
37.283856 1
4.8%
37.283097 1
4.8%
37.278087 1
4.8%
37.27388039 1
4.8%
37.2726785 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.46646
Minimum127.35793
Maximum127.6168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T06:00:42.707328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.35793
5-th percentile127.35866
Q1127.43329
median127.45255
Q3127.49241
95-th percentile127.54699
Maximum127.6168
Range0.258872
Interquartile range (IQR)0.0591178

Descriptive statistics

Standard deviation0.06142996
Coefficient of variation (CV)0.00048193039
Kurtosis0.76713812
Mean127.46646
Median Absolute Deviation (MAD)0.034356
Skewness0.40203215
Sum2676.7956
Variance0.0037736399
MonotonicityNot monotonic
2023-12-13T06:00:42.875261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
127.435044 1
 
4.8%
127.616798 1
 
4.8%
127.4332872 1
 
4.8%
127.4953352 1
 
4.8%
127.4836304 1
 
4.8%
127.4325745 1
 
4.8%
127.3586631 1
 
4.8%
127.5469888 1
 
4.8%
127.4523359 1
 
4.8%
127.441774 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
127.357926 1
4.8%
127.3586631 1
4.8%
127.404025 1
4.8%
127.424897 1
4.8%
127.4325745 1
4.8%
127.4332872 1
4.8%
127.435044 1
4.8%
127.441148 1
4.8%
127.441774 1
4.8%
127.4523359 1
4.8%
ValueCountFrequency (%)
127.616798 1
4.8%
127.5469888 1
4.8%
127.546449 1
4.8%
127.522044 1
4.8%
127.4953352 1
4.8%
127.492405 1
4.8%
127.490691 1
4.8%
127.486907 1
4.8%
127.4836304 1
4.8%
127.480154 1
4.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2023-04-06 00:00:00
Maximum2023-04-06 00:00:00
2023-12-13T06:00:42.994188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.094383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:00:39.424148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:39.274152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:39.496570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:39.348572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:00:43.192469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관공서명전화번호안내소재지도로명주소소재지지번주소위도경도
관공서명1.0001.0001.0001.0001.0001.000
전화번호안내1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0000.834
경도1.0001.0001.0001.0000.8341.000
2023-12-13T06:00:43.295658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.334
경도-0.3341.000

Missing values

2023-12-13T06:00:39.595707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:00:39.738968image/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

시군명관공서명전화번호안내소재지도로명주소소재지지번주소위도경도데이터기준일자
0이천시이천시청031-644-2000경기도 이천시 부악로 40경기도 이천시 중리동 49037.272374127.4350442023-04-06
1이천시장호원읍행정복지센터031-641-3001경기도 이천시 장호원읍 서동대로 8844-6경기도 이천시 장호원읍 진암리 17-2137.115146127.6167982023-04-06
2이천시부발읍행정복지센터031-633-0461경기도 이천시 부발읍 무촌로 121경기도 이천시 부발읍 무촌리 168-837.283856127.4869072023-04-06
3이천시신둔면행정복지센터031-632-7001경기도 이천시 신둔면 경충대로 3128경기도 이천시 신둔면 수광리 153-137.306469127.4040252023-04-06
4이천시백사면행정복지센터031-644-8532경기도 이천시 백사면 현방로 65경기도 이천시 백사면 현방리 87-737.339014127.4906912023-04-06
5이천시호법면행정복지센터031-632-9001경기도 이천시 호법면 이섭대천로527번길 27경기도 이천시 호법면 후안리 24637.223229127.4248972023-04-06
6이천시마장면행정복지센터031-632-2001경기도 이천시 마장면 오천로 107경기도 이천시 마장면 오천리 62-437.249129127.3579262023-04-06
7이천시대월면행정복지센터031-632-1001경기도 이천시 대월면 사동로 1-10경기도 이천시 대월면 초지리 22037.230044127.4924052023-04-06
8이천시모가면행정복지센터031-632-3001경기도 이천시 모가면 진상미로 1295경기도 이천시 모가면 진가리 114-637.171863127.4801542023-04-06
9이천시설성면행정복지센터031-641-6001경기도 이천시 설성면 설장로17번길 6-5경기도 이천시 설성면 금당리 126-137.132645127.5220442023-04-06
시군명관공서명전화번호안내소재지도로명주소소재지지번주소위도경도데이터기준일자
11이천시창전동행정복지센터031-633-9001경기도 이천시 영창로163번길 22경기도 이천시 창전동 420-937.283097127.4411482023-04-06
12이천시증포동행정복지센터031-633-1002경기도 이천시 증신로156번길 15경기도 이천시 증포동 182-537.290389127.4525512023-04-06
13이천시중리동행정복지센터031-633-9003경기도 이천시 남천로 31경기도 이천시 중리동 18737.278087127.4417742023-04-06
14이천시이천시보건소031-644-4011경기도 이천시 증신로153번길 13경기도 이천시 증포동 152-237.288982127.4523362023-04-06
15이천시남부통합보건지소031-644-4091경기도 이천시 설성면 진상미로180번길 25경기도 이천시 설성면 진상미로180번길 2537.106443127.5469892023-04-06
16이천시마장건강생활지원센터031-645-3430경기도 이천시 마장면 중앙로 81경기도 이천시 마장면 중앙로 8137.2499127.3586632023-04-06
17이천시농업기술센터031-644-2000경기도 이천시 부악로 38-52경기도 이천시 중리동 386-137.272678127.4325752023-04-06
18이천시상하수도사업소031-644-4212경기도 이천시 부발읍 중부대로1390번길 293경기도 이천시 부발읍 산촌리 334-237.271154127.483632023-04-06
19이천시체육지원센터031-644-4302경기도 이천시 부발읍 중부대로 1696경기도 이천시 부발읍 무촌리 52-1637.28628127.4953352023-04-06
20이천시차량등록사업소031-644-2000경기 이천시 부악로 30-45경기도 이천시 중리동 38237.27388127.4332872023-04-06