Overview

Dataset statistics

Number of variables6
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory53.8 B

Variable types

Numeric3
Text3

Dataset

Description부천시 관내의 노종조합에 대한 데이터로 48개의 노동조합 단체명, 노동조합 소재지(도로명, 지번), 위도, 경도 등의 자료를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3079362/fileData.do

Alerts

연번 has unique valuesUnique
노동조합단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:37:42.583139
Analysis finished2023-12-12 04:37:43.944317
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T13:37:44.025688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-12T13:37:44.167926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

노동조합단체명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T13:37:44.405847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length12.791667
Min length6

Characters and Unicode

Total characters614
Distinct characters128
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row(주)도원교통노동조합
2nd row(주)신원에스앤티노동조합
3rd row가톨릭대학교성심교정직원노동조합
4th row경기도일자리재단 굿잡 노동조합
5th row경기콘텐츠진흥원 노동조합
ValueCountFrequency (%)
노동조합 15
 
19.5%
부천환경연합노동조합 6
 
7.8%
부천지역노동조합 2
 
2.6%
주)도원교통노동조합 1
 
1.3%
한울타리공공노동조합 1
 
1.3%
부천시재활용선별장지부 1
 
1.3%
삼신교통노동조합 1
 
1.3%
순천향대학교 1
 
1.3%
부천병원 1
 
1.3%
신성그린노동조합 1
 
1.3%
Other values (47) 47
61.0%
2023-12-12T13:37:44.800403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 56
 
9.1%
동 55
 
9.0%
조 51
 
8.3%
노 49
 
8.0%
부 34
 
5.5%
29
 
4.7%
천 25
 
4.1%
지 14
 
2.3%
경 12
 
2.0%
원 11
 
1.8%
Other values (118) 278
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
92.7%
Space Separator 29
 
4.7%
Close Punctuation 7
 
1.1%
Open Punctuation 6
 
1.0%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 56
 
9.8%
동 55
 
9.7%
조 51
 
9.0%
노 49
 
8.6%
부 34
 
6.0%
천 25
 
4.4%
지 14
 
2.5%
경 12
 
2.1%
원 11
 
1.9%
환 9
 
1.6%
Other values (112) 253
44.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
92.7%
Common 42
 
6.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 56
 
9.8%
동 55
 
9.7%
조 51
 
9.0%
노 49
 
8.6%
부 34
 
6.0%
천 25
 
4.4%
지 14
 
2.5%
경 12
 
2.1%
원 11
 
1.9%
환 9
 
1.6%
Other values (112) 253
44.5%
Common
ValueCountFrequency (%)
29
69.0%
) 7
 
16.7%
( 6
 
14.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
92.7%
ASCII 45
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 56
 
9.8%
동 55
 
9.7%
조 51
 
9.0%
노 49
 
8.6%
부 34
 
6.0%
천 25
 
4.4%
지 14
 
2.5%
경 12
 
2.1%
원 11
 
1.9%
환 9
 
1.6%
Other values (112) 253
44.5%
ASCII
ValueCountFrequency (%)
29
64.4%
) 7
 
15.6%
( 6
 
13.3%
T 1
 
2.2%
C 1
 
2.2%
I 1
 
2.2%

노동조합주소(도로명)
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T13:37:45.207847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length27.895833
Min length18

Characters and Unicode

Total characters1339
Distinct characters126
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

Unique45 ?
Unique (%)93.8%

Sample

1st row경기도 부천시 봉오대로556번길 26 고강공영차고지 (고강동)
2nd row경기도 부천시 산업로 27 (오정동)
3rd row경기도 부천시 지봉로 43 (역곡동)
4th row경기도 부천시 부천로136번길 27 부천동 행정복지센터 경기도일자리재단 3층 (원미동)
5th row경기도 부천시 부천로198번길 18 춘의테크노파크II 202동 9층 (춘의동)
ValueCountFrequency (%)
경기도 48
 
17.1%
부천시 48
 
17.1%
중동 8
 
2.8%
상동 6
 
2.1%
송내동 5
 
1.8%
계남로 4
 
1.4%
336 4
 
1.4%
원미동 4
 
1.4%
27 3
 
1.1%
경인로 3
 
1.1%
Other values (119) 148
52.7%
2023-12-12T13:37:45.697672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
19.4%
부 67
 
5.0%
천 64
 
4.8%
동 57
 
4.3%
경 55
 
4.1%
도 54
 
4.0%
시 53
 
4.0%
로 51
 
3.8%
기 49
 
3.7%
) 49
 
3.7%
Other values (116) 580
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 792
59.1%
Space Separator 260
 
19.4%
Decimal Number 184
 
13.7%
Close Punctuation 49
 
3.7%
Open Punctuation 49
 
3.7%
Uppercase Letter 3
 
0.2%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 67
 
8.5%
천 64
 
8.1%
동 57
 
7.2%
경 55
 
6.9%
도 54
 
6.8%
시 53
 
6.7%
로 51
 
6.4%
기 49
 
6.2%
길 17
 
2.1%
번 14
 
1.8%
Other values (99) 311
39.3%
Decimal Number
ValueCountFrequency (%)
1 37
20.1%
2 33
17.9%
3 25
13.6%
0 21
11.4%
7 14
 
7.6%
6 13
 
7.1%
4 13
 
7.1%
5 12
 
6.5%
9 9
 
4.9%
8 7
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
I 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
59.1%
Common 544
40.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 67
 
8.5%
천 64
 
8.1%
동 57
 
7.2%
경 55
 
6.9%
도 54
 
6.8%
시 53
 
6.7%
로 51
 
6.4%
기 49
 
6.2%
길 17
 
2.1%
번 14
 
1.8%
Other values (99) 311
39.3%
Common
ValueCountFrequency (%)
260
47.8%
) 49
 
9.0%
( 49
 
9.0%
1 37
 
6.8%
2 33
 
6.1%
3 25
 
4.6%
0 21
 
3.9%
7 14
 
2.6%
6 13
 
2.4%
4 13
 
2.4%
Other values (5) 30
 
5.5%
Latin
ValueCountFrequency (%)
I 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 792
59.1%
ASCII 547
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
47.5%
) 49
 
9.0%
( 49
 
9.0%
1 37
 
6.8%
2 33
 
6.0%
3 25
 
4.6%
0 21
 
3.8%
7 14
 
2.6%
6 13
 
2.4%
4 13
 
2.4%
Other values (7) 33
 
6.0%
Hangul
ValueCountFrequency (%)
부 67
 
8.5%
천 64
 
8.1%
동 57
 
7.2%
경 55
 
6.9%
도 54
 
6.8%
시 53
 
6.7%
로 51
 
6.4%
기 49
 
6.2%
길 17
 
2.1%
번 14
 
1.8%
Other values (99) 311
39.3%

노동조합주소(지번)
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T13:37:45.988279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length22.3125
Min length13

Characters and Unicode

Total characters1071
Distinct characters109
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)93.8%

Sample

1st row경기도 양주시 은현면 운암리 65-1
2nd row경기도 부천시 오정동 768-10
3rd row경기도 부천시 역곡동 산 43-3
4th row경기도 부천시 원미동 71번지 부천동 행정복지센터 경기도일자리재단 3층
5th row경기도 부천시 춘의동 202번지 춘의테크노파크II 202동 9층
ValueCountFrequency (%)
경기도 48
20.4%
부천시 47
20.0%
중동 9
 
3.8%
상동 6
 
2.6%
원미동 5
 
2.1%
송내동 5
 
2.1%
1093번지 4
 
1.7%
도당동 3
 
1.3%
삼정동 3
 
1.3%
부천근로자종합복지관 3
 
1.3%
Other values (89) 102
43.4%
2023-12-12T13:37:46.415571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
17.5%
부 60
 
5.6%
천 59
 
5.5%
동 53
 
4.9%
시 53
 
4.9%
도 52
 
4.9%
경 49
 
4.6%
기 49
 
4.6%
1 37
 
3.5%
- 30
 
2.8%
Other values (99) 442
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
60.4%
Decimal Number 204
 
19.0%
Space Separator 187
 
17.5%
Dash Punctuation 30
 
2.8%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 60
 
9.3%
천 59
 
9.1%
동 53
 
8.2%
시 53
 
8.2%
도 52
 
8.0%
경 49
 
7.6%
기 49
 
7.6%
지 29
 
4.5%
번 22
 
3.4%
층 11
 
1.7%
Other values (85) 210
32.5%
Decimal Number
ValueCountFrequency (%)
1 37
18.1%
2 27
13.2%
3 23
11.3%
4 20
9.8%
0 19
9.3%
6 19
9.3%
5 18
8.8%
7 17
8.3%
8 13
 
6.4%
9 11
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
60.4%
Common 421
39.3%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 60
 
9.3%
천 59
 
9.1%
동 53
 
8.2%
시 53
 
8.2%
도 52
 
8.0%
경 49
 
7.6%
기 49
 
7.6%
지 29
 
4.5%
번 22
 
3.4%
층 11
 
1.7%
Other values (85) 210
32.5%
Common
ValueCountFrequency (%)
187
44.4%
1 37
 
8.8%
- 30
 
7.1%
2 27
 
6.4%
3 23
 
5.5%
4 20
 
4.8%
0 19
 
4.5%
6 19
 
4.5%
5 18
 
4.3%
7 17
 
4.0%
Other values (2) 24
 
5.7%
Latin
ValueCountFrequency (%)
I 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
60.4%
ASCII 424
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
44.1%
1 37
 
8.7%
- 30
 
7.1%
2 27
 
6.4%
3 23
 
5.4%
4 20
 
4.7%
0 19
 
4.5%
6 19
 
4.5%
5 18
 
4.2%
7 17
 
4.0%
Other values (4) 27
 
6.4%
Hangul
ValueCountFrequency (%)
부 60
 
9.3%
천 59
 
9.1%
동 53
 
8.2%
시 53
 
8.2%
도 52
 
8.0%
경 49
 
7.6%
기 49
 
7.6%
지 29
 
4.5%
번 22
 
3.4%
층 11
 
1.7%
Other values (85) 210
32.5%

위도
Real number (ℝ)

Distinct43
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.508463
Minimum37.468554
Maximum37.86893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T13:37:46.552216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.468554
5-th percentile37.477871
Q137.489001
median37.500518
Q337.511087
95-th percentile37.53786
Maximum37.86893
Range0.40037567
Interquartile range (IQR)0.022086052

Descriptive statistics

Standard deviation0.055649297
Coefficient of variation (CV)0.0014836464
Kurtosis39.387431
Mean37.508463
Median Absolute Deviation (MAD)0.01107681
Skewness6.0087263
Sum1800.4062
Variance0.0030968443
MonotonicityNot monotonic
2023-12-12T13:37:46.703642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
37.50072275 4
 
8.3%
37.50358046 2
 
4.2%
37.48900111 2
 
4.2%
37.5423053775 1
 
2.1%
37.4983707318 1
 
2.1%
37.5136629911 1
 
2.1%
37.4976931353 1
 
2.1%
37.5153038942 1
 
2.1%
37.4818744245 1
 
2.1%
37.5254684576 1
 
2.1%
Other values (33) 33
68.8%
ValueCountFrequency (%)
37.4685542 1
2.1%
37.47406629 1
2.1%
37.47612775 1
2.1%
37.4811089737 1
2.1%
37.4818744245 1
2.1%
37.4829332116 1
2.1%
37.4829514013 1
2.1%
37.48368473 1
2.1%
37.4837608604 1
2.1%
37.48683849 1
2.1%
ValueCountFrequency (%)
37.8689298746 1
2.1%
37.5423053775 1
2.1%
37.5423023 1
2.1%
37.5296094507 1
2.1%
37.5282080995 1
2.1%
37.5254684576 1
2.1%
37.5234701915 1
2.1%
37.51970384 1
2.1%
37.51907578 1
2.1%
37.5153038942 1
2.1%

경도
Real number (ℝ)

Distinct43
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.78214
Minimum126.74321
Maximum127.02006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T13:37:46.849543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74321
5-th percentile126.74704
Q1126.76445
median126.78029
Q3126.79035
95-th percentile126.81024
Maximum127.02006
Range0.27684699
Interquartile range (IQR)0.025903298

Descriptive statistics

Standard deviation0.039462527
Coefficient of variation (CV)0.0003112625
Kurtosis28.881959
Mean126.78214
Median Absolute Deviation (MAD)0.014928076
Skewness4.7917843
Sum6085.5428
Variance0.001557291
MonotonicityNot monotonic
2023-12-12T13:37:46.992955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
126.7828813 4
 
8.3%
126.7653515 2
 
4.2%
126.7432105 2
 
4.2%
126.7653691653 1
 
2.1%
126.7621091151 1
 
2.1%
126.8116908905 1
 
2.1%
126.7914612445 1
 
2.1%
126.7629064336 1
 
2.1%
126.7643693006 1
 
2.1%
126.7636309807 1
 
2.1%
Other values (33) 33
68.8%
ValueCountFrequency (%)
126.7432105 2
4.2%
126.7456181594 1
2.1%
126.7496881 1
2.1%
126.7542141755 1
2.1%
126.7551515283 1
2.1%
126.7567311 1
2.1%
126.7590156912 1
2.1%
126.7621091151 1
2.1%
126.7629064336 1
2.1%
126.7636309807 1
2.1%
ValueCountFrequency (%)
127.0200574944 1
2.1%
126.8219814 1
2.1%
126.8116908905 1
2.1%
126.8075339 1
2.1%
126.7995182 1
2.1%
126.7990253979 1
2.1%
126.7986015251 1
2.1%
126.7974335459 1
2.1%
126.7957799 1
2.1%
126.7935597045 1
2.1%

Interactions

2023-12-12T13:37:43.429892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:42.916079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.160204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.545738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:42.997547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.241632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.660317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.084076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:43.337751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:37:47.127665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번노동조합단체명노동조합주소(도로명)노동조합주소(지번)위도경도
연번1.0001.0000.9510.9510.3020.346
노동조합단체명1.0001.0001.0001.0001.0001.000
노동조합주소(도로명)0.9511.0001.0001.0001.0001.000
노동조합주소(지번)0.9511.0001.0001.0001.0001.000
위도0.3021.0001.0001.0001.0000.666
경도0.3461.0001.0001.0000.6661.000
2023-12-12T13:37:47.240867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.014-0.255
위도0.0141.000-0.093
경도-0.255-0.0931.000

Missing values

2023-12-12T13:37:43.773998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:37:43.903089image/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

연번노동조합단체명노동조합주소(도로명)노동조합주소(지번)위도경도
01(주)도원교통노동조합경기도 부천시 봉오대로556번길 26 고강공영차고지 (고강동)경기도 양주시 은현면 운암리 65-137.86893127.020057
12(주)신원에스앤티노동조합경기도 부천시 산업로 27 (오정동)경기도 부천시 오정동 768-1037.529609126.779611
23가톨릭대학교성심교정직원노동조합경기도 부천시 지봉로 43 (역곡동)경기도 부천시 역곡동 산 43-337.487531126.798602
34경기도일자리재단 굿잡 노동조합경기도 부천시 부천로136번길 27 부천동 행정복지센터 경기도일자리재단 3층 (원미동)경기도 부천시 원미동 71번지 부천동 행정복지센터 경기도일자리재단 3층37.496731126.787513
45경기콘텐츠진흥원 노동조합경기도 부천시 부천로198번길 18 춘의테크노파크II 202동 9층 (춘의동)경기도 부천시 춘의동 202번지 춘의테크노파크II 202동 9층37.501544126.787546
56달성운수노동조합경기도 부천시 조마루로427번길 13 (원미동)경기도 부천시 원미동 34-637.497944126.790971
67도시환경 노동조합경기도 부천시 조마루로 370 (심곡동)경기도 부천시 심곡동 82-237.497932126.784845
78동원팜스 부천공장 노동조합경기도 부천시 오정로39번길 49 (삼정동)경기도 부천시 삼정동 15-637.528208126.764473
89동창산업 노동조합경기도 부천시 경인로92번길 20 (송내동)경기도 부천시 송내동 388-237.482951126.765776
910부일교통(주)소사지점 노동조합경기도 부천시 소사로 178 부일교통 1층 (소사본동)경기도 부천시 소사본동 184-37번지 부일교통 1층37.474066126.79578
연번노동조합단체명노동조합주소(도로명)노동조합주소(지번)위도경도
3839조인산업(주)노동조합경기도 부천시 경인옛로 45 (소사본동)경기도 부천시 소사본동 65-2237.481109126.797434
3940지역일반노동조합 부천도시공사정통지부경기도 부천시 부흥로 370 (심곡동)경기도 부천시 심곡동 368-1937.491785126.782495
4041통일운수(주)노동조합경기도 부천시 경인로3번길 22-1 (송내동 통일운수(주))경기도 부천시 송내동 327-437.483761126.755152
4142한국노총 전국사회서비스노동조합 엘림어린이집지부경기도 부천시 삼작로 52 삼정복지회관 (삼정동)경기도 부천시 삼정동 365-2번지 삼정복지회관37.519704126.766529
4243한국만화영상진흥원 노동조합경기도 부천시 길주로 1 (상동)경기도 부천시 상동 529-5737.509055126.745618
4344한국전광노동조합경기도 부천시 계남로 336 부천근로자종합복지관 (중동)경기도 부천시 중동 1093번지 부천근로자종합복지관37.500723126.782881
4445한국조명ICT연구원 노동조합경기도 부천시 도약로 261 부천대우테크노파크 A동 4층 3호 (도당동)경기도 부천시 도당동 187-7번지 부천대우테크노파크 A동 4층 3호37.511065126.779003
4546한국호세코 노동조합경기도 부천시 정주로 74 (도당동)경기도 부천시 도당동 23537.511155126.777086
4647한울타리공공노동조합 부천시여성청소년재단지부경기도 부천시 소사동로 125 부천시소사청소년수련관 (괴안동)경기도 부천시 괴안동 241-7번지 부천시소사청소년수련관37.476128126.807534
4748합)동산운수 노동조합경기도 부천시 경인로 32 (송내동)경기도 부천시 송내동 403-637.482933126.759016