Overview

Dataset statistics

Number of variables7
Number of observations60
Missing cells13
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory58.2 B

Variable types

Text5
Categorical2

Dataset

Description경상북도 성주군 내 식품위생법 제37조제5항에 의거하여 식품제조가공업의 영업등록을 신고를 득한 업소현황입니다.
Author경상북도 성주군
URLhttps://www.data.go.kr/data/15101500/fileData.do

Alerts

위생업태명 has constant value ""Constant
소재지전화 has 13 (21.7%) missing valuesMissing
사업장명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:57:56.994907
Analysis finished2023-12-12 07:57:57.846557
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:57:58.020379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.9166667
Min length3

Characters and Unicode

Total characters415
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row농업회사법인(주)성주식품
2nd row대양제면
3rd row우리밀농산
4th row가야산종합식품
5th row유동산업
ValueCountFrequency (%)
농업회사법인 3
 
4.4%
주식회사 3
 
4.4%
농업회사법인(주)성주식품 1
 
1.5%
에버그린(주 1
 
1.5%
농업회사법인정담아(주 1
 
1.5%
가야산 1
 
1.5%
청정오미자 1
 
1.5%
천수누리 1
 
1.5%
천지식품 1
 
1.5%
주)참사랑 1
 
1.5%
Other values (54) 54
79.4%
2023-12-12T16:57:58.386641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.3%
25
 
6.0%
19
 
4.6%
19
 
4.6%
16
 
3.9%
15
 
3.6%
) 13
 
3.1%
( 13
 
3.1%
13
 
3.1%
12
 
2.9%
Other values (125) 244
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
91.3%
Close Punctuation 13
 
3.1%
Open Punctuation 13
 
3.1%
Space Separator 8
 
1.9%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
6.9%
25
 
6.6%
19
 
5.0%
19
 
5.0%
16
 
4.2%
15
 
4.0%
13
 
3.4%
12
 
3.2%
12
 
3.2%
9
 
2.4%
Other values (120) 213
56.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
91.3%
Common 36
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
6.9%
25
 
6.6%
19
 
5.0%
19
 
5.0%
16
 
4.2%
15
 
4.0%
13
 
3.4%
12
 
3.2%
12
 
3.2%
9
 
2.4%
Other values (120) 213
56.2%
Common
ValueCountFrequency (%)
) 13
36.1%
( 13
36.1%
8
22.2%
3 1
 
2.8%
2 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
91.3%
ASCII 36
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
6.9%
25
 
6.6%
19
 
5.0%
19
 
5.0%
16
 
4.2%
15
 
4.0%
13
 
3.4%
12
 
3.2%
12
 
3.2%
9
 
2.4%
Other values (120) 213
56.2%
ASCII
ValueCountFrequency (%)
) 13
36.1%
( 13
36.1%
8
22.2%
3 1
 
2.8%
2 1
 
2.8%

소재지전화
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing13
Missing (%)21.7%
Memory size612.0 B
2023-12-12T16:57:58.568419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters658
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

Unique47 ?
Unique (%)100.0%

Sample

1st row 054- 933-1928
2nd row 054- 931-6373
3rd row 054- 932-5787
4th row 054- 931-3627
5th row 054- 933-5102
ValueCountFrequency (%)
054 42
35.9%
931 12
 
10.3%
933 6
 
5.1%
932 3
 
2.6%
070 2
 
1.7%
3339 1
 
0.9%
6708 1
 
0.9%
956 1
 
0.9%
7272 1
 
0.9%
3200 1
 
0.9%
Other values (47) 47
40.2%
2023-12-12T16:57:58.905146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 94
14.3%
91
13.8%
3 72
10.9%
0 69
10.5%
5 64
9.7%
4 60
9.1%
9 57
8.7%
1 41
6.2%
2 37
 
5.6%
8 29
 
4.4%
Other values (2) 44
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 473
71.9%
Dash Punctuation 94
 
14.3%
Space Separator 91
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 72
15.2%
0 69
14.6%
5 64
13.5%
4 60
12.7%
9 57
12.1%
1 41
8.7%
2 37
7.8%
8 29
6.1%
6 28
 
5.9%
7 16
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Space Separator
ValueCountFrequency (%)
91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 94
14.3%
91
13.8%
3 72
10.9%
0 69
10.5%
5 64
9.7%
4 60
9.1%
9 57
8.7%
1 41
6.2%
2 37
 
5.6%
8 29
 
4.4%
Other values (2) 44
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 94
14.3%
91
13.8%
3 72
10.9%
0 69
10.5%
5 64
9.7%
4 60
9.1%
9 57
8.7%
1 41
6.2%
2 37
 
5.6%
8 29
 
4.4%
Other values (2) 44
6.7%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:57:59.118644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.4166667
Min length1

Characters and Unicode

Total characters265
Distinct characters12
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

Unique58 ?
Unique (%)96.7%

Sample

1st row683
2nd row2,753.52
3rd row331
4th row782
5th row2,341.55
ValueCountFrequency (%)
84 2
 
3.3%
59.92 1
 
1.7%
189 1
 
1.7%
34.22 1
 
1.7%
51.3 1
 
1.7%
160 1
 
1.7%
564 1
 
1.7%
106.5 1
 
1.7%
333.25 1
 
1.7%
471.8 1
 
1.7%
Other values (49) 49
81.7%
2023-12-12T16:57:59.488809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 35
13.2%
5 28
10.6%
8 27
10.2%
3 26
9.8%
1 25
9.4%
4 24
9.1%
2 24
9.1%
0 20
7.5%
6 19
7.2%
9 18
6.8%
Other values (2) 19
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 223
84.2%
Other Punctuation 42
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 28
12.6%
8 27
12.1%
3 26
11.7%
1 25
11.2%
4 24
10.8%
2 24
10.8%
0 20
9.0%
6 19
8.5%
9 18
8.1%
7 12
5.4%
Other Punctuation
ValueCountFrequency (%)
. 35
83.3%
, 7
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 35
13.2%
5 28
10.6%
8 27
10.2%
3 26
9.8%
1 25
9.4%
4 24
9.1%
2 24
9.1%
0 20
7.5%
6 19
7.2%
9 18
6.8%
Other values (2) 19
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 35
13.2%
5 28
10.6%
8 27
10.2%
3 26
9.8%
1 25
9.4%
4 24
9.1%
2 24
9.1%
0 20
7.5%
6 19
7.2%
9 18
6.8%
Other values (2) 19
7.2%

지번주소
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:57:59.794778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length22.233333
Min length20

Characters and Unicode

Total characters1334
Distinct characters80
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

Unique60 ?
Unique (%)100.0%

Sample

1st row경상북도 성주군 선남면 선원리 158
2nd row경상북도 성주군 월항면 장산리 1528
3rd row경상북도 성주군 가천면 용사리 313-1
4th row경상북도 성주군 수륜면 수륜리 1120
5th row경상북도 성주군 성주읍 성산리 248
ValueCountFrequency (%)
경상북도 60
19.8%
성주군 60
19.8%
선남면 20
 
6.6%
성주읍 8
 
2.6%
월항면 8
 
2.6%
용암면 6
 
2.0%
대가면 5
 
1.7%
수륜면 5
 
1.7%
용신리 4
 
1.3%
선원리 4
 
1.3%
Other values (103) 123
40.6%
2023-12-12T16:58:00.258230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
22.7%
82
 
6.1%
69
 
5.2%
65
 
4.9%
61
 
4.6%
60
 
4.5%
60
 
4.5%
60
 
4.5%
60
 
4.5%
52
 
3.9%
Other values (70) 462
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 792
59.4%
Space Separator 303
 
22.7%
Decimal Number 215
 
16.1%
Dash Punctuation 24
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
10.4%
69
 
8.7%
65
 
8.2%
61
 
7.7%
60
 
7.6%
60
 
7.6%
60
 
7.6%
60
 
7.6%
52
 
6.6%
24
 
3.0%
Other values (58) 199
25.1%
Decimal Number
ValueCountFrequency (%)
1 45
20.9%
4 25
11.6%
0 25
11.6%
2 22
10.2%
7 21
9.8%
5 18
 
8.4%
8 16
 
7.4%
3 16
 
7.4%
9 16
 
7.4%
6 11
 
5.1%
Space Separator
ValueCountFrequency (%)
303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
59.4%
Common 542
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
10.4%
69
 
8.7%
65
 
8.2%
61
 
7.7%
60
 
7.6%
60
 
7.6%
60
 
7.6%
60
 
7.6%
52
 
6.6%
24
 
3.0%
Other values (58) 199
25.1%
Common
ValueCountFrequency (%)
303
55.9%
1 45
 
8.3%
4 25
 
4.6%
0 25
 
4.6%
- 24
 
4.4%
2 22
 
4.1%
7 21
 
3.9%
5 18
 
3.3%
8 16
 
3.0%
3 16
 
3.0%
Other values (2) 27
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 792
59.4%
ASCII 542
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
55.9%
1 45
 
8.3%
4 25
 
4.6%
0 25
 
4.6%
- 24
 
4.4%
2 22
 
4.1%
7 21
 
3.9%
5 18
 
3.3%
8 16
 
3.0%
3 16
 
3.0%
Other values (2) 27
 
5.0%
Hangul
ValueCountFrequency (%)
82
10.4%
69
 
8.7%
65
 
8.2%
61
 
7.7%
60
 
7.6%
60
 
7.6%
60
 
7.6%
60
 
7.6%
52
 
6.6%
24
 
3.0%
Other values (58) 199
25.1%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:58:00.670339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length22.166667
Min length19

Characters and Unicode

Total characters1330
Distinct characters101
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

Unique58 ?
Unique (%)96.7%

Sample

1st row경상북도 성주군 선남면 나선로 806
2nd row경상북도 성주군 월항면 월항농공단지1길 33
3rd row경상북도 성주군 가천면 용사3길 23
4th row경상북도 성주군 수륜면 수륜3길 140
5th row경상북도 성주군 성주읍 성산9길 70-19
ValueCountFrequency (%)
경상북도 60
19.6%
성주군 60
19.6%
선남면 20
 
6.5%
성주읍 8
 
2.6%
월항면 8
 
2.6%
용암면 6
 
2.0%
대가면 5
 
1.6%
수륜면 5
 
1.6%
참별로 4
 
1.3%
나선로 4
 
1.3%
Other values (109) 126
41.2%
2023-12-12T16:58:01.229012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
18.5%
79
 
5.9%
77
 
5.8%
61
 
4.6%
60
 
4.5%
60
 
4.5%
60
 
4.5%
60
 
4.5%
52
 
3.9%
1 39
 
2.9%
Other values (91) 536
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
63.3%
Space Separator 246
 
18.5%
Decimal Number 213
 
16.0%
Dash Punctuation 20
 
1.5%
Other Punctuation 5
 
0.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
9.4%
77
 
9.1%
61
 
7.2%
60
 
7.1%
60
 
7.1%
60
 
7.1%
60
 
7.1%
52
 
6.2%
36
 
4.3%
29
 
3.4%
Other values (76) 268
31.8%
Decimal Number
ValueCountFrequency (%)
1 39
18.3%
3 31
14.6%
2 28
13.1%
5 26
12.2%
4 22
10.3%
9 21
9.9%
0 14
 
6.6%
8 13
 
6.1%
6 10
 
4.7%
7 9
 
4.2%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
63.3%
Common 488
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
9.4%
77
 
9.1%
61
 
7.2%
60
 
7.1%
60
 
7.1%
60
 
7.1%
60
 
7.1%
52
 
6.2%
36
 
4.3%
29
 
3.4%
Other values (76) 268
31.8%
Common
ValueCountFrequency (%)
246
50.4%
1 39
 
8.0%
3 31
 
6.4%
2 28
 
5.7%
5 26
 
5.3%
4 22
 
4.5%
9 21
 
4.3%
- 20
 
4.1%
0 14
 
2.9%
8 13
 
2.7%
Other values (5) 28
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
63.3%
ASCII 488
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
50.4%
1 39
 
8.0%
3 31
 
6.4%
2 28
 
5.7%
5 26
 
5.3%
4 22
 
4.5%
9 21
 
4.3%
- 20
 
4.1%
0 14
 
2.9%
8 13
 
2.7%
Other values (5) 28
 
5.7%
Hangul
ValueCountFrequency (%)
79
 
9.4%
77
 
9.1%
61
 
7.2%
60
 
7.1%
60
 
7.1%
60
 
7.1%
60
 
7.1%
52
 
6.2%
36
 
4.3%
29
 
3.4%
Other values (76) 268
31.8%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
식품제조가공
60 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공 60
100.0%

Length

2023-12-12T16:58:01.411003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:01.535679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공 60
100.0%
Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
상수도전용
36 
지하수전용
14 
간이상수도
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length17
Median length5
Mean length5.4
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
3rd row간이상수도
4th row간이상수도
5th row지하수전용

Common Values

ValueCountFrequency (%)
상수도전용 36
60.0%
지하수전용 14
 
23.3%
간이상수도 8
 
13.3%
상수도(음용)지하수(주방용)겸용 2
 
3.3%

Length

2023-12-12T16:58:01.649546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:01.784645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 36
60.0%
지하수전용 14
 
23.3%
간이상수도 8
 
13.3%
상수도(음용)지하수(주방용)겸용 2
 
3.3%

Correlations

2023-12-12T16:58:01.888514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명소재지전화소재지면적지번주소도로명주소급수시설구분
사업장명1.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.000
소재지면적1.0001.0001.0001.0000.9970.912
지번주소1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0000.9971.0001.0000.912
급수시설구분1.0001.0000.9121.0000.9121.000

Missing values

2023-12-12T16:57:57.617470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:57:57.804453image/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

사업장명소재지전화소재지면적지번주소도로명주소위생업태명급수시설구분
0농업회사법인(주)성주식품054- 933-1928683경상북도 성주군 선남면 선원리 158경상북도 성주군 선남면 나선로 806식품제조가공상수도전용
1대양제면054- 931-63732,753.52경상북도 성주군 월항면 장산리 1528경상북도 성주군 월항면 월항농공단지1길 33식품제조가공상수도전용
2우리밀농산054- 932-5787331경상북도 성주군 가천면 용사리 313-1경상북도 성주군 가천면 용사3길 23식품제조가공간이상수도
3가야산종합식품054- 931-3627782경상북도 성주군 수륜면 수륜리 1120경상북도 성주군 수륜면 수륜3길 140식품제조가공간이상수도
4유동산업054- 933-51022,341.55경상북도 성주군 성주읍 성산리 248경상북도 성주군 성주읍 성산9길 70-19식품제조가공지하수전용
5풍림식품054 -933 -2289298.32경상북도 성주군 선남면 관화리 674-1경상북도 성주군 선남면 관화길 75-13식품제조가공상수도전용
6삼진식품054- 933-45601,200경상북도 성주군 용암면 용정리 388-1경상북도 성주군 용암면 용정공단길 31식품제조가공상수도전용
7종표국수054 -931 -7280363.3경상북도 성주군 선남면 선원리 470경상북도 성주군 선남면 나선로 918식품제조가공간이상수도
8(주)대성식품054- 931-2221428경상북도 성주군 월항면 장산리 1549경상북도 성주군 월항면 월항농공단지2길 15식품제조가공상수도(음용)지하수(주방용)겸용
9흰그루식품054- 932-9882850.56경상북도 성주군 금수면 어은리 412경상북도 성주군 금수면 어은1길 25-29식품제조가공지하수전용
사업장명소재지전화소재지면적지번주소도로명주소위생업태명급수시설구분
50농업회사법인(주)명소054 -931 -8848263.7경상북도 성주군 벽진면 봉계리 711경상북도 성주군 벽진면 봉흥로 140식품제조가공상수도전용
51성진영농조합법인054 -931 -84014,185.15경상북도 성주군 성주읍 금산리 1235경상북도 성주군 성주읍 성주산업단지로2길 45식품제조가공상수도전용
52농업회사법인주식회사경성팜스070 -8860-6681172경상북도 성주군 수륜면 송계리 1105경상북도 성주군 수륜면 동강한강로 289식품제조가공지하수전용
53이상구표고농장<NA>199경상북도 성주군 용암면 죽전리 208경상북도 성주군 용암면 대송로 721-1식품제조가공지하수전용
54정가문<NA>59.5경상북도 성주군 성주읍 학산리 851경상북도 성주군 성주읍 성주산업단지로 57-16식품제조가공상수도전용
55(주)소자매<NA>208경상북도 성주군 월항면 유월리 1200-3경상북도 성주군 월항면 가야로 5295식품제조가공상수도전용
56농업회사법인뚜리랑(주)070-5158-5566470.6경상북도 성주군 월항면 안포리 100경상북도 성주군 월항면 주산로 398-42, 주2(공장), 부1(사무실)식품제조가공지하수전용
57농업회사법인새로운별고을주식회사<NA>384.5경상북도 성주군 선남면 성원리 46경상북도 성주군 선남면 선월로 95식품제조가공상수도전용
58(주)착한푸드054-933 -103348경상북도 성주군 선남면 성원리 678-3경상북도 성주군 선남면 성원1길 83식품제조가공상수도전용
59주식회사토종푸드<NA>336경상북도 성주군 선남면 동암리 401-1경상북도 성주군 선남면 명관로 446-2식품제조가공상수도전용