Overview

Dataset statistics

Number of variables7
Number of observations327
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory56.4 B

Variable types

Categorical2
DateTime1
Text4

Dataset

Description농산물우수관리(GAP), 친환경인증, 유기가공식품 인증, 전통식품 인증, 술 품질인증, 지리적표시등록 등 농식품 국가인증제도의 참여를 통해 안전한 농식품을 생산하는 농장 중 타의 모범이 되는 대표적인 농장으로 선정된 업체 정보(스타팜 구분, 최초지정일, 생산자단체명, 생산농산물, 지역 등)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20171020000000000891

Reproduction

Analysis started2024-04-18 07:12:09.967186
Analysis finished2024-04-18 07:12:10.601705
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

스타팜구분
Categorical

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
친환경농산물인증
152 
농산물우수관리인증(GAP)
86 
유기가공식품인증
39 
전통식품품질인증
29 
지리적표시등록
 
8
Other values (2)
 
13

Length

Max length14
Median length8
Mean length9.3608563
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농산물우수관리인증(GAP)
2nd row농산물우수관리인증(GAP)
3rd row농산물우수관리인증(GAP)
4th row농산물우수관리인증(GAP)
5th row농산물우수관리인증(GAP)

Common Values

ValueCountFrequency (%)
친환경농산물인증 152
46.5%
농산물우수관리인증(GAP) 86
26.3%
유기가공식품인증 39
 
11.9%
전통식품품질인증 29
 
8.9%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 5
 
1.5%

Length

2024-04-18T16:12:10.665158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:12:10.762118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
친환경농산물인증 152
46.5%
농산물우수관리인증(gap 86
26.3%
유기가공식품인증 39
 
11.9%
전통식품품질인증 29
 
8.9%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 5
 
1.5%

최초지정일
Date

Distinct58
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2012-11-23 00:00:00
Maximum2022-05-17 00:00:00
2024-04-18T16:12:10.880226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:12:11.017978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산자단체명
Text

Distinct254
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T16:12:11.228834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.5351682
Min length3

Characters and Unicode

Total characters2464
Distinct characters340
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)56.9%

Sample

1st row강릉 안반데기 관광농원
2nd row항진굼벵이농장
3rd row울산애플팜
4th row사과숲애
5th row플랜티팜
ValueCountFrequency (%)
농업회사법인 9
 
2.2%
농장 4
 
1.0%
백록다원 4
 
1.0%
하나되기 3
 
0.7%
곽씨네푸드 3
 
0.7%
농원 3
 
0.7%
향적원 3
 
0.7%
영농조합법인 3
 
0.7%
차 3
 
0.7%
지리산과 3
 
0.7%
Other values (285) 365
90.6%
2024-04-18T16:12:11.563024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 216
 
8.8%
원 89
 
3.6%
77
 
3.1%
장 75
 
3.0%
인 75
 
3.0%
법 69
 
2.8%
사 56
 
2.3%
영 53
 
2.2%
합 52
 
2.1%
조 52
 
2.1%
Other values (330) 1650
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2273
92.2%
Space Separator 77
 
3.1%
Close Punctuation 35
 
1.4%
Open Punctuation 35
 
1.4%
Uppercase Letter 32
 
1.3%
Other Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.2%
Decimal Number 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 216
 
9.5%
원 89
 
3.9%
장 75
 
3.3%
인 75
 
3.3%
법 69
 
3.0%
사 56
 
2.5%
영 53
 
2.3%
합 52
 
2.3%
조 52
 
2.3%
주 40
 
1.8%
Other values (305) 1496
65.8%
Uppercase Letter
ValueCountFrequency (%)
Z 4
12.5%
M 4
12.5%
D 4
12.5%
E 4
12.5%
A 2
6.2%
F 2
6.2%
L 2
6.2%
O 2
6.2%
W 2
6.2%
R 2
6.2%
Other values (3) 4
12.5%
Lowercase Letter
ValueCountFrequency (%)
f 1
25.0%
m 1
25.0%
r 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
" 2
40.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2274
92.3%
Common 154
 
6.2%
Latin 36
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 216
 
9.5%
원 89
 
3.9%
장 75
 
3.3%
인 75
 
3.3%
법 69
 
3.0%
사 56
 
2.5%
영 53
 
2.3%
합 52
 
2.3%
조 52
 
2.3%
주 40
 
1.8%
Other values (306) 1497
65.8%
Latin
ValueCountFrequency (%)
Z 4
11.1%
M 4
11.1%
D 4
11.1%
E 4
11.1%
A 2
 
5.6%
F 2
 
5.6%
L 2
 
5.6%
O 2
 
5.6%
W 2
 
5.6%
R 2
 
5.6%
Other values (7) 8
22.2%
Common
ValueCountFrequency (%)
77
50.0%
) 35
22.7%
( 35
22.7%
& 3
 
1.9%
" 2
 
1.3%
3 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2273
92.2%
ASCII 190
 
7.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 216
 
9.5%
원 89
 
3.9%
장 75
 
3.3%
인 75
 
3.3%
법 69
 
3.0%
사 56
 
2.5%
영 53
 
2.3%
합 52
 
2.3%
조 52
 
2.3%
주 40
 
1.8%
Other values (305) 1496
65.8%
ASCII
ValueCountFrequency (%)
77
40.5%
) 35
18.4%
( 35
18.4%
Z 4
 
2.1%
M 4
 
2.1%
D 4
 
2.1%
E 4
 
2.1%
& 3
 
1.6%
" 2
 
1.1%
A 2
 
1.1%
Other values (14) 20
 
10.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자명
Text

Distinct255
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T16:12:11.938937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length3
Mean length3.6850153
Min length2

Characters and Unicode

Total characters1205
Distinct characters156
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

Unique188 ?
Unique (%)57.5%

Sample

1st row김봉래
2nd row박수용
3rd row이실범
4th row한호균
5th row강대현
ValueCountFrequency (%)
백종우 4
 
1.0%
이 4
 
1.0%
강승호 3
 
0.8%
곽상용 3
 
0.8%
곽기상,조성숙 3
 
0.8%
김 3
 
0.8%
식 3
 
0.8%
오관수 2
 
0.5%
부정선 2
 
0.5%
문지은 2
 
0.5%
Other values (289) 363
92.6%
2024-04-18T16:12:12.428127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
5.4%
김 65
 
5.4%
이 59
 
4.9%
영 40
 
3.3%
박 33
 
2.7%
정 26
 
2.2%
순 26
 
2.2%
, 24
 
2.0%
종 24
 
2.0%
수 23
 
1.9%
Other values (146) 820
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1101
91.4%
Space Separator 65
 
5.4%
Other Punctuation 27
 
2.2%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 65
 
5.9%
이 59
 
5.4%
영 40
 
3.6%
박 33
 
3.0%
정 26
 
2.4%
순 26
 
2.4%
종 24
 
2.2%
수 23
 
2.1%
최 20
 
1.8%
권 19
 
1.7%
Other values (141) 766
69.6%
Other Punctuation
ValueCountFrequency (%)
, 24
88.9%
: 3
 
11.1%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1101
91.4%
Common 104
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 65
 
5.9%
이 59
 
5.4%
영 40
 
3.6%
박 33
 
3.0%
정 26
 
2.4%
순 26
 
2.4%
종 24
 
2.2%
수 23
 
2.1%
최 20
 
1.8%
권 19
 
1.7%
Other values (141) 766
69.6%
Common
ValueCountFrequency (%)
65
62.5%
, 24
 
23.1%
( 6
 
5.8%
) 6
 
5.8%
: 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1101
91.4%
ASCII 104
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
62.5%
, 24
 
23.1%
( 6
 
5.8%
) 6
 
5.8%
: 3
 
2.9%
Hangul
ValueCountFrequency (%)
김 65
 
5.9%
이 59
 
5.4%
영 40
 
3.6%
박 33
 
3.0%
정 26
 
2.4%
순 26
 
2.4%
종 24
 
2.2%
수 23
 
2.1%
최 20
 
1.8%
권 19
 
1.7%
Other values (141) 766
69.6%

생산농산물
Text

Distinct204
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T16:12:12.676112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length39
Mean length10.654434
Min length1

Characters and Unicode

Total characters3484
Distinct characters321
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)39.8%

Sample

1st row산마늘, 눈개승마
2nd row사과,곤충
3rd row사과
4th row사과,사과즙
5th row바질, 상추, 꽃송이버섯 등
ValueCountFrequency (%)
등 24
 
3.4%
사과 23
 
3.3%
된장 18
 
2.6%
블루베리 18
 
2.6%
쌀 17
 
2.4%
고추장 16
 
2.3%
포도 15
 
2.1%
감귤 13
 
1.8%
단감 11
 
1.6%
배 11
 
1.6%
Other values (303) 539
76.5%
2024-04-18T16:12:13.088767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 440
 
12.6%
380
 
10.9%
장 97
 
2.8%
기 57
 
1.6%
리 52
 
1.5%
과 52
 
1.5%
감 52
 
1.5%
고 50
 
1.4%
차 49
 
1.4%
( 49
 
1.4%
Other values (311) 2206
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2421
69.5%
Other Punctuation 450
 
12.9%
Space Separator 380
 
10.9%
Lowercase Letter 68
 
2.0%
Decimal Number 58
 
1.7%
Open Punctuation 49
 
1.4%
Close Punctuation 49
 
1.4%
Dash Punctuation 5
 
0.1%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.4%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 50
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1890
78.1%
Decimal Number
ValueCountFrequency (%)
0 18
31.0%
1 14
24.1%
5 11
19.0%
3 7
 
12.1%
2 4
 
6.9%
6 2
 
3.4%
9 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 440
97.8%
. 7
 
1.6%
& 2
 
0.4%
? 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
G 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 36
52.9%
k 32
47.1%
Space Separator
ValueCountFrequency (%)
380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2421
69.5%
Common 992
28.5%
Latin 71
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.4%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 50
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1890
78.1%
Common
ValueCountFrequency (%)
, 440
44.4%
380
38.3%
( 49
 
4.9%
) 49
 
4.9%
0 18
 
1.8%
1 14
 
1.4%
5 11
 
1.1%
3 7
 
0.7%
. 7
 
0.7%
- 5
 
0.5%
Other values (7) 12
 
1.2%
Latin
ValueCountFrequency (%)
g 36
50.7%
k 32
45.1%
P 1
 
1.4%
A 1
 
1.4%
G 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2421
69.5%
ASCII 1063
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 440
41.4%
380
35.7%
( 49
 
4.6%
) 49
 
4.6%
g 36
 
3.4%
k 32
 
3.0%
0 18
 
1.7%
1 14
 
1.3%
5 11
 
1.0%
3 7
 
0.7%
Other values (12) 27
 
2.5%
Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.4%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 50
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1890
78.1%

주소
Text

Distinct255
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-18T16:12:13.447499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length19.752294
Min length12

Characters and Unicode

Total characters6459
Distinct characters253
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

Unique188 ?
Unique (%)57.5%

Sample

1st row강릉시 왕산면 안반데기1길 203
2nd row경남 밀양시 산내면 발례1길 58-60
3rd row울산광역시 북구 동산길 120-1
4th row경남 거창군 주상면 거기2길 124
5th row평택시 진위면 하북리 214-4
ValueCountFrequency (%)
전남 51
 
3.3%
경남 44
 
2.8%
경기도 20
 
1.3%
제주시 17
 
1.1%
순천시 16
 
1.0%
강원도 15
 
1.0%
전북 14
 
0.9%
제주특별자치도 14
 
0.9%
서귀포시 14
 
0.9%
경북 13
 
0.8%
Other values (833) 1337
86.0%
2024-04-18T16:12:14.005877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1234
 
19.1%
1 276
 
4.3%
면 240
 
3.7%
리 209
 
3.2%
- 194
 
3.0%
시 176
 
2.7%
2 168
 
2.6%
군 159
 
2.5%
남 151
 
2.3%
3 134
 
2.1%
Other values (243) 3518
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3745
58.0%
Decimal Number 1274
 
19.7%
Space Separator 1234
 
19.1%
Dash Punctuation 194
 
3.0%
Other Punctuation 6
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 240
 
6.4%
리 209
 
5.6%
시 176
 
4.7%
군 159
 
4.2%
남 151
 
4.0%
경 100
 
2.7%
산 99
 
2.6%
도 92
 
2.5%
천 91
 
2.4%
주 86
 
2.3%
Other values (228) 2342
62.5%
Decimal Number
ValueCountFrequency (%)
1 276
21.7%
2 168
13.2%
3 134
10.5%
5 132
10.4%
6 118
9.3%
4 117
9.2%
0 97
 
7.6%
8 83
 
6.5%
7 76
 
6.0%
9 73
 
5.7%
Space Separator
ValueCountFrequency (%)
1234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3745
58.0%
Common 2714
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 240
 
6.4%
리 209
 
5.6%
시 176
 
4.7%
군 159
 
4.2%
남 151
 
4.0%
경 100
 
2.7%
산 99
 
2.6%
도 92
 
2.5%
천 91
 
2.4%
주 86
 
2.3%
Other values (228) 2342
62.5%
Common
ValueCountFrequency (%)
1234
45.5%
1 276
 
10.2%
- 194
 
7.1%
2 168
 
6.2%
3 134
 
4.9%
5 132
 
4.9%
6 118
 
4.3%
4 117
 
4.3%
0 97
 
3.6%
8 83
 
3.1%
Other values (5) 161
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3745
58.0%
ASCII 2714
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1234
45.5%
1 276
 
10.2%
- 194
 
7.1%
2 168
 
6.2%
3 134
 
4.9%
5 132
 
4.9%
6 118
 
4.3%
4 117
 
4.3%
0 97
 
3.6%
8 83
 
3.1%
Other values (5) 161
 
5.9%
Hangul
ValueCountFrequency (%)
면 240
 
6.4%
리 209
 
5.6%
시 176
 
4.7%
군 159
 
4.2%
남 151
 
4.0%
경 100
 
2.7%
산 99
 
2.6%
도 92
 
2.5%
천 91
 
2.4%
주 86
 
2.3%
Other values (228) 2342
62.5%

지역
Categorical

Distinct12
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
경남
60 
전남
60 
경북
40 
전북
34 
제주
34 
Other values (7)
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row강원
2nd row경남
3rd row울산
4th row경남
5th row경기

Common Values

ValueCountFrequency (%)
경남 60
18.3%
전남 60
18.3%
경북 40
12.2%
전북 34
10.4%
제주 34
10.4%
강원 26
8.0%
충남 26
8.0%
경기 24
 
7.3%
충북 19
 
5.8%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2024-04-18T16:12:14.151678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 60
18.3%
전남 60
18.3%
경북 40
12.2%
전북 34
10.4%
제주 34
10.4%
강원 26
8.0%
충남 26
8.0%
경기 24
 
7.3%
충북 19
 
5.8%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Correlations

2024-04-18T16:12:14.224954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분최초지정일지역
스타팜구분1.0000.0000.315
최초지정일0.0001.0000.760
지역0.3150.7601.000
2024-04-18T16:12:14.309960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역스타팜구분
지역1.0000.157
스타팜구분0.1571.000
2024-04-18T16:12:14.395419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분지역
스타팜구분1.0000.157
지역0.1571.000

Missing values

2024-04-18T16:12:10.553328image/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

스타팜구분최초지정일생산자단체명대표자명생산농산물주소지역
0농산물우수관리인증(GAP)2022-05-17강릉 안반데기 관광농원김봉래산마늘, 눈개승마강릉시 왕산면 안반데기1길 203강원
1농산물우수관리인증(GAP)2022-03-12항진굼벵이농장박수용사과,곤충경남 밀양시 산내면 발례1길 58-60경남
2농산물우수관리인증(GAP)2022-03-12울산애플팜이실범사과울산광역시 북구 동산길 120-1울산
3농산물우수관리인증(GAP)2022-03-12사과숲애한호균사과,사과즙경남 거창군 주상면 거기2길 124경남
4농산물우수관리인증(GAP)2022-02-18플랜티팜강대현바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기
5농산물우수관리인증(GAP)2021-12-27바람개비딸기학교한은성딸기, 딸기육묘전북 무주군 무주읍 오산리 227-3전북
6농산물우수관리인증(GAP)2020-02-10고천마실손기호사과(사과파이,장아찌 등),콩(두부,막장 등)포항시 북구 죽장면 상옥리 981-2경북
7농산물우수관리인증(GAP)2020-02-07은성농장(농업회사법인 예산사과와인주식회사)서정학사과, 사과와인(증류주)충남 예산군 고덕면 대천리 501충남
8농산물우수관리인증(GAP)2020-02-06얼음골사과소고농원박희윤사과경남 밀양시 산내면 임고6길 71-5경남
9농산물우수관리인증(GAP)2020-02-03용인청정farm임지나블루베리경기도 용인시 처인구 원삼면 미평리 457경기
스타팜구분최초지정일생산자단체명대표자명생산농산물주소지역
317술픔질인증2012-11-23장생도라지이영춘도라지가공품경남 진주시 금곡면 정자천로 15번길 5경남
318술픔질인증2012-11-23울산탁주태화루김홍수탁주울산시 북구 염포로 237울산
319기타2020-02-06농업회사법인(주)솔송주정천상솔송주,담솔경남 함양군 지곡면 지곡창촌길 3경남
320기타2017-05-30대솔영농조합법인박영학송이버섯, 송이버섯식품강원도 양양군 양양읍 청곡리 11-20강원
321기타2017-03-14향적원곽상용전통장류, 장아찌류순창군 순창읍 백산리 265-53전북
322기타2012-11-23양지마을 오탄농장김구봉산란계, 유정란강원도 춘천시 사북면 오탄리 139-1강원
323기타2012-11-23그린토피아정경섭배, 배즙경기도 양평군 양서면 양수리 359경기
324기타2012-11-23진도전통식품김영숙한과, 떡전라남도 진도군 지산면 인지인천2길 6-15전남
325기타2012-11-23(주)외가집농업법인박영숙된장, 고추장, 간장, 손두부충남 부여군 옥산면 안서리 294충남
326기타2012-11-23백록다원백종우우전,세작,중작,발효차,엽차,목욕용전남 보성군 회천면 봉강리 368-1전남