Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory71.6 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description인천광역시 남동구 사회복지시설 현황에 대한 데이터로 시설명, 동구분, 소재지, 연락처, 위경도좌표, 데이터기준일 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15113039/fileData.do

Alerts

데이터기준일 has constant value ""Constant
위도 is highly overall correlated with 동구분High correlation
동구분 is highly overall correlated with 위도High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:09:27.776812
Analysis finished2024-04-06 08:09:30.351718
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-06T17:09:30.485061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-06T17:09:30.710122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

시설명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-06T17:09:31.106290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.344828
Min length4

Characters and Unicode

Total characters300
Distinct characters87
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row만수종합사회복지관
2nd row만월종합사회복지관
3rd row성산종합사회복지관
4th row논현종합사회복지관
5th row구월종합사회복지관
ValueCountFrequency (%)
인천광역시 3
 
6.5%
남동구 3
 
6.5%
상담소 2
 
4.3%
푸드마켓 2
 
4.3%
인천 2
 
4.3%
가정폭력 2
 
4.3%
자원봉사센터 2
 
4.3%
사회복지공동모금회인천지부 1
 
2.2%
인구보건복지협의회 1
 
2.2%
인천지회 1
 
2.2%
Other values (27) 27
58.7%
2024-04-06T17:09:31.778149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
5.7%
회 16
 
5.3%
지 15
 
5.0%
인 14
 
4.7%
사 13
 
4.3%
천 13
 
4.3%
복 11
 
3.7%
동 9
 
3.0%
역 8
 
2.7%
구 7
 
2.3%
Other values (77) 177
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
91.0%
Space Separator 17
 
5.7%
Uppercase Letter 8
 
2.7%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 16
 
5.9%
지 15
 
5.5%
인 14
 
5.1%
사 13
 
4.8%
천 13
 
4.8%
복 11
 
4.0%
동 9
 
3.3%
역 8
 
2.9%
구 7
 
2.6%
터 6
 
2.2%
Other values (69) 161
59.0%
Uppercase Letter
ValueCountFrequency (%)
Y 2
25.0%
C 2
25.0%
A 2
25.0%
M 1
12.5%
W 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
91.0%
Common 19
 
6.3%
Latin 8
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 16
 
5.9%
지 15
 
5.5%
인 14
 
5.1%
사 13
 
4.8%
천 13
 
4.8%
복 11
 
4.0%
동 9
 
3.3%
역 8
 
2.9%
구 7
 
2.6%
터 6
 
2.2%
Other values (69) 161
59.0%
Latin
ValueCountFrequency (%)
Y 2
25.0%
C 2
25.0%
A 2
25.0%
M 1
12.5%
W 1
12.5%
Common
ValueCountFrequency (%)
17
89.5%
1 1
 
5.3%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
91.0%
ASCII 27
 
9.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
63.0%
Y 2
 
7.4%
C 2
 
7.4%
A 2
 
7.4%
M 1
 
3.7%
W 1
 
3.7%
1 1
 
3.7%
2 1
 
3.7%
Hangul
ValueCountFrequency (%)
회 16
 
5.9%
지 15
 
5.5%
인 14
 
5.1%
사 13
 
4.8%
천 13
 
4.8%
복 11
 
4.0%
동 9
 
3.3%
역 8
 
2.9%
구 7
 
2.6%
터 6
 
2.2%
Other values (69) 161
59.0%

동구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
간석3동
8 
구월1동
7 
만수6동
4 
만수1동
2 
간석4동
2 
Other values (5)
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row만수1동
2nd row만수3동
3rd row간석4동
4th row논현2동
5th row구월1동

Common Values

ValueCountFrequency (%)
간석3동 8
27.6%
구월1동 7
24.1%
만수6동 4
13.8%
만수1동 2
 
6.9%
간석4동 2
 
6.9%
만수5동 2
 
6.9%
만수3동 1
 
3.4%
논현2동 1
 
3.4%
논현1동 1
 
3.4%
구월3동 1
 
3.4%

Length

2024-04-06T17:09:32.038607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:09:32.310636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
간석3동 8
27.6%
구월1동 7
24.1%
만수6동 4
13.8%
만수1동 2
 
6.9%
간석4동 2
 
6.9%
만수5동 2
 
6.9%
만수3동 1
 
3.4%
논현2동 1
 
3.4%
논현1동 1
 
3.4%
구월3동 1
 
3.4%

소재지
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-06T17:09:32.744023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length28.482759
Min length21

Characters and Unicode

Total characters826
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 담방로 105(만수동)
2nd row인천광역시 남동구 서판로 54번길12(만수동)
3rd row인천광역시 남동구 석정로 552(간석동)
4th row인천광역시 남동구 호구포로 292(논현동)
5th row인천광역시 남동구 선수촌로 7, 702동 1층(구월동)
ValueCountFrequency (%)
남동구 30
21.6%
인천광역시 29
20.9%
용천로 7
 
5.0%
208 4
 
2.9%
인주대로 3
 
2.2%
석정로 2
 
1.4%
1층 2
 
1.4%
142(간석동 2
 
1.4%
2층(구월동 1
 
0.7%
담방서로 1
 
0.7%
Other values (58) 58
41.7%
2024-04-06T17:09:33.603455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
13.3%
동 62
 
7.5%
구 42
 
5.1%
천 39
 
4.7%
인 36
 
4.4%
남 33
 
4.0%
시 30
 
3.6%
( 29
 
3.5%
광 29
 
3.5%
역 29
 
3.5%
Other values (83) 387
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
63.0%
Decimal Number 121
 
14.6%
Space Separator 110
 
13.3%
Open Punctuation 29
 
3.5%
Close Punctuation 29
 
3.5%
Other Punctuation 13
 
1.6%
Dash Punctuation 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
11.9%
구 42
 
8.1%
천 39
 
7.5%
인 36
 
6.9%
남 33
 
6.3%
시 30
 
5.8%
광 29
 
5.6%
역 29
 
5.6%
로 29
 
5.6%
석 12
 
2.3%
Other values (67) 179
34.4%
Decimal Number
ValueCountFrequency (%)
1 25
20.7%
2 24
19.8%
5 15
12.4%
0 13
10.7%
4 11
9.1%
8 10
 
8.3%
7 9
 
7.4%
3 7
 
5.8%
6 4
 
3.3%
9 3
 
2.5%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
63.0%
Common 305
36.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
11.9%
구 42
 
8.1%
천 39
 
7.5%
인 36
 
6.9%
남 33
 
6.3%
시 30
 
5.8%
광 29
 
5.6%
역 29
 
5.6%
로 29
 
5.6%
석 12
 
2.3%
Other values (67) 179
34.4%
Common
ValueCountFrequency (%)
110
36.1%
( 29
 
9.5%
) 29
 
9.5%
1 25
 
8.2%
2 24
 
7.9%
5 15
 
4.9%
, 13
 
4.3%
0 13
 
4.3%
4 11
 
3.6%
8 10
 
3.3%
Other values (5) 26
 
8.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
63.0%
ASCII 306
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
35.9%
( 29
 
9.5%
) 29
 
9.5%
1 25
 
8.2%
2 24
 
7.8%
5 15
 
4.9%
, 13
 
4.2%
0 13
 
4.2%
4 11
 
3.6%
8 10
 
3.3%
Other values (6) 27
 
8.8%
Hangul
ValueCountFrequency (%)
동 62
 
11.9%
구 42
 
8.1%
천 39
 
7.5%
인 36
 
6.9%
남 33
 
6.3%
시 30
 
5.8%
광 29
 
5.6%
역 29
 
5.6%
로 29
 
5.6%
석 12
 
2.3%
Other values (67) 179
34.4%

연락처
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-06T17:09:33.995417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row032-463-8161
2nd row032-471-9070
3rd row032-437-2500
4th row032-446-9339
5th row032-463-9900
ValueCountFrequency (%)
032-463-8161 1
 
3.4%
032-460-3531 1
 
3.4%
032-441-0176 1
 
3.4%
032-441-0118 1
 
3.4%
032-456-3333 1
 
3.4%
080-031-5115 1
 
3.4%
032-424-0524 1
 
3.4%
032-431-8161 1
 
3.4%
032-424-3379 1
 
3.4%
032-431-4300 1
 
3.4%
Other values (19) 19
65.5%
2024-04-06T17:09:34.590251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
16.7%
3 57
16.4%
0 46
13.2%
2 41
11.8%
4 36
10.3%
1 32
9.2%
6 22
 
6.3%
7 20
 
5.7%
9 13
 
3.7%
5 12
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 57
19.7%
0 46
15.9%
2 41
14.1%
4 36
12.4%
1 32
11.0%
6 22
 
7.6%
7 20
 
6.9%
9 13
 
4.5%
5 12
 
4.1%
8 11
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
16.7%
3 57
16.4%
0 46
13.2%
2 41
11.8%
4 36
10.3%
1 32
9.2%
6 22
 
6.3%
7 20
 
5.7%
9 13
 
3.7%
5 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
16.7%
3 57
16.4%
0 46
13.2%
2 41
11.8%
4 36
10.3%
1 32
9.2%
6 22
 
6.3%
7 20
 
5.7%
9 13
 
3.7%
5 12
 
3.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.452607
Minimum37.387728
Maximum37.46823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-06T17:09:34.869261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.387728
5-th percentile37.41868
Q137.448668
median37.45484
Q337.465894
95-th percentile37.46823
Maximum37.46823
Range0.0805022
Interquartile range (IQR)0.0172262

Descriptive statistics

Standard deviation0.017851596
Coefficient of variation (CV)0.00047664495
Kurtosis6.3184087
Mean37.452607
Median Absolute Deviation (MAD)0.00748
Skewness-2.286871
Sum1086.1256
Variance0.00031867947
MonotonicityNot monotonic
2024-04-06T17:09:35.161259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
37.4682305 5
 
17.2%
37.4481386 2
 
6.9%
37.4623197 2
 
6.9%
37.4501834 1
 
3.4%
37.4565737 1
 
3.4%
37.4585766 1
 
3.4%
37.4491381 1
 
3.4%
37.4486677 1
 
3.4%
37.4505655 1
 
3.4%
37.4548397 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
37.3877283 1
3.4%
37.408153 1
3.4%
37.4344711 1
3.4%
37.44047688 1
3.4%
37.4476115 1
3.4%
37.4481386 2
6.9%
37.4486677 1
3.4%
37.4491381 1
3.4%
37.4501834 1
3.4%
37.4505655 1
3.4%
ValueCountFrequency (%)
37.4682305 5
17.2%
37.4663131 1
 
3.4%
37.4659292 1
 
3.4%
37.4658939 1
 
3.4%
37.4635894 1
 
3.4%
37.4623197 2
 
6.9%
37.4585766 1
 
3.4%
37.4580537 1
 
3.4%
37.4565737 1
 
3.4%
37.4548397 1
 
3.4%

경도
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.7499
Minimum126.69706
Maximum127.71489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-06T17:09:35.449236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69706
5-th percentile126.69854
Q1126.70753
median126.71439
Q3126.72704
95-th percentile126.73724
Maximum127.71489
Range1.0178233
Interquartile range (IQR)0.0195075

Descriptive statistics

Standard deviation0.18597163
Coefficient of variation (CV)0.001467233
Kurtosis28.738912
Mean126.7499
Median Absolute Deviation (MAD)0.0110959
Skewness5.3500659
Sum3675.747
Variance0.034585448
MonotonicityNot monotonic
2024-04-06T17:09:35.859804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.7143903 5
 
17.2%
126.7321856 2
 
6.9%
126.7400216 1
 
3.4%
126.7145585 1
 
3.4%
126.7270393 1
 
3.4%
126.6993121 1
 
3.4%
126.7018172 1
 
3.4%
126.7017304 1
 
3.4%
126.7036312 1
 
3.4%
126.6980204 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
126.6970641 1
3.4%
126.6980204 1
3.4%
126.6993121 1
3.4%
126.7017304 1
3.4%
126.7018172 1
3.4%
126.7024788 1
3.4%
126.7036312 1
3.4%
126.7075318 1
3.4%
126.7092258 1
3.4%
126.70951 1
3.4%
ValueCountFrequency (%)
127.7148874 1
3.4%
126.7400216 1
3.4%
126.7330567 1
3.4%
126.7321856 2
6.9%
126.7307485 1
3.4%
126.7292832 1
3.4%
126.7270393 1
3.4%
126.7254862 1
3.4%
126.7232925 1
3.4%
126.7148874 1
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 29
100.0%

Length

2024-04-06T17:09:36.172586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:09:36.405580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 29
100.0%

Interactions

2024-04-06T17:09:29.472018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:28.332542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:28.935232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:29.631139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:28.544541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:29.105101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:29.813021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:28.721217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:29.316676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:09:36.521872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명동구분소재지연락처위도경도
연번1.0001.0000.3161.0001.0000.0000.000
시설명1.0001.0001.0001.0001.0001.0001.000
동구분0.3161.0001.0001.0001.0000.8520.000
소재지1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
위도0.0001.0000.8521.0001.0001.0000.000
경도0.0001.0000.0001.0001.0000.0001.000
2024-04-06T17:09:36.706573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도동구분
연번1.0000.012-0.3370.153
위도0.0121.000-0.1400.605
경도-0.337-0.1401.0000.000
동구분0.1530.6050.0001.000

Missing values

2024-04-06T17:09:30.033477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:09:30.265819image/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

연번시설명동구분소재지연락처위도경도데이터기준일
01만수종합사회복지관만수1동인천광역시 남동구 담방로 105(만수동)032-463-816137.450183126.7400222024-01-31
12만월종합사회복지관만수3동인천광역시 남동구 서판로 54번길12(만수동)032-471-907037.463589126.7254862024-01-31
23성산종합사회복지관간석4동인천광역시 남동구 석정로 552(간석동)032-437-250037.465894126.6970642024-01-31
34논현종합사회복지관논현2동인천광역시 남동구 호구포로 292(논현동)032-446-933937.408153126.7132572024-01-31
45구월종합사회복지관구월1동인천광역시 남동구 선수촌로 7, 702동 1층(구월동)032-463-990037.440477126.7138812024-01-31
56남동구푸드뱅크만수6동인천광역시 남동구 인주대로 854 (만수동, 식품영양복지지원센터)032-469-137737.448139126.7321862024-01-31
67남동구 푸드마켓 1호점만수6동인천광역시 남동구 인주대로 854(만수동,식품영양복지지원센터)032-463-137737.448139126.7321862024-01-31
78남동구 푸드마켓 2호점간석3동인천광역시 남동구 백범로 371, 신흥빌딩 1층 B호(간석동)032-431-137737.465929126.709512024-01-31
89남동지역자활센터만수1동인천광역시 남동구 만수로 12-6(만수동)032-422-431837.458054126.7307492024-01-31
910남동구 자원봉사센터만수6동인천광역시 남동구 소래로 645(만수동,평생학습관)032-472-136537.447612126.7330572024-01-31
연번시설명동구분소재지연락처위도경도데이터기준일
1920사회복지공동모금회인천지부논현1동인천광역시 남동구 논현고잔로54번길 53-19 (고잔동)032-812-655437.387728126.7145582024-01-31
2021인구보건복지협의회 인천지회간석3동인천광역시 남동구 용천로 142(간석동)032-431-430037.46232126.7148872024-01-31
2122인구보건복지협회 성폭력상담소간석3동인천광역시 남동구 남동구 용천로 142(간석동) 인구보건복지협인천지회내032-424-337937.46232127.7148872024-01-31
2223인천 YMCA구월1동인천광역시 남동구 구월남로 118(구월동)032-431-816137.453019126.7024792024-01-31
2324인천 YWCA간석4동인천광역시 남동구 석정로 562(간석동)032-424-052437.466313126.698022024-01-31
2425인천광역시마약퇴치운동본부구월1동인천광역시 남동구 정각로 16(구월동)080-031-511537.45484126.7036312024-01-31
2526인천사회복지공동모금회구월1동인천광역시 남동구 인주대로 585, 10층 1호(구월동)032-456-333337.450566126.701732024-01-31
2627인천지방경찰청 여성상담실구월1동인천광역시 남동구 예술로152번길 9(구월동, 인천지방 경찰청여성청소년계)032-441-011837.448668126.7018172024-01-31
2728한국 가정폭력 상담소구월3동인천광역시 남동구 문화로 111-1 (구월동) 1층032-441-017637.449138126.6993122024-01-31
2829행복가정폭력상담소만수5동인천광역시 남동구 구월말로120번길 34(만수동)032-461-989837.458577126.7270392024-01-31