Overview

Dataset statistics

Number of variables8
Number of observations53
Missing cells4
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory69.4 B

Variable types

Text3
Categorical1
Numeric3
DateTime1

Dataset

Description경기도 평택시 양돈농가 현황 데이터로 사업장명칭, 등록축종, 사업장소재지(지번/도로명), 사육두수, 동수, 면적, 데이터기준일자 항목을 제공합니다.※ 문의 : 평택시 농업기술센터 축산반려동물과(031-8024-3813)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15126953/fileData.do

Alerts

등록축종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사육두수 is highly overall correlated with 면적(계)High correlation
동수(계) is highly overall correlated with 면적(계)High correlation
면적(계) is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
사업장소재지(도로명) has 4 (7.5%) missing valuesMissing
사업장명칭 has unique valuesUnique
사업장소재지(지번) has unique valuesUnique
면적(계) has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:07:11.505298
Analysis finished2024-03-14 10:07:14.811249
Duration3.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-14T19:07:15.583792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length4.3396226
Min length3

Characters and Unicode

Total characters230
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row금형농장
2nd row창원농장
3rd row세원농장
4th row해림2농장
5th row가람농장
ValueCountFrequency (%)
금형농장 1
 
1.8%
창원농장 1
 
1.8%
장안농장 1
 
1.8%
광일농장 1
 
1.8%
토성농장 1
 
1.8%
신북농장 1
 
1.8%
준농장 1
 
1.8%
용성농장 1
 
1.8%
진영농장 1
 
1.8%
황금농장 1
 
1.8%
Other values (46) 46
82.1%
2024-03-14T19:07:16.683607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 48
20.9%
장 45
19.6%
성 8
 
3.5%
덕 7
 
3.0%
산 5
 
2.2%
2 5
 
2.2%
지 4
 
1.7%
원 4
 
1.7%
북 3
 
1.3%
연 3
 
1.3%
Other values (66) 98
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
96.1%
Decimal Number 6
 
2.6%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 48
21.7%
장 45
20.4%
성 8
 
3.6%
덕 7
 
3.2%
산 5
 
2.3%
지 4
 
1.8%
원 4
 
1.8%
북 3
 
1.4%
연 3
 
1.4%
한 3
 
1.4%
Other values (63) 91
41.2%
Decimal Number
ValueCountFrequency (%)
2 5
83.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
96.1%
Common 9
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 48
21.7%
장 45
20.4%
성 8
 
3.6%
덕 7
 
3.2%
산 5
 
2.3%
지 4
 
1.8%
원 4
 
1.8%
북 3
 
1.4%
연 3
 
1.4%
한 3
 
1.4%
Other values (63) 91
41.2%
Common
ValueCountFrequency (%)
2 5
55.6%
3
33.3%
3 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
96.1%
ASCII 9
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 48
21.7%
장 45
20.4%
성 8
 
3.6%
덕 7
 
3.2%
산 5
 
2.3%
지 4
 
1.8%
원 4
 
1.8%
북 3
 
1.4%
연 3
 
1.4%
한 3
 
1.4%
Other values (63) 91
41.2%
ASCII
ValueCountFrequency (%)
2 5
55.6%
3
33.3%
3 1
 
11.1%

등록축종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size552.0 B
돼지
53 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
돼지 53
100.0%

Length

2024-03-14T19:07:16.908550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:07:17.066317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돼지 53
100.0%

사업장소재지(지번)
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-14T19:07:18.062078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length30.792453
Min length19

Characters and Unicode

Total characters1632
Distinct characters84
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

Unique53 ?
Unique (%)100.0%

Sample

1st row경기도 평택시 청북면 고잔리 182번지 1호
2nd row경기도 평택시 안중읍 학현리 337번지 1호 외2필지
3rd row경기도 평택시 청북면 고잔리 11번지 10호
4th row경기도 평택시 오성면 교포리 2번지 5호 외 4필지(2-7, -29, 신리 91-50)
5th row경기도 평택시 청북면 고잔리 710번지 4호
ValueCountFrequency (%)
경기도 53
 
15.2%
평택시 53
 
15.2%
1호 13
 
3.7%
고잔리 12
 
3.4%
청북면 8
 
2.3%
청북읍 8
 
2.3%
외 8
 
2.3%
고덕면 7
 
2.0%
11번지 6
 
1.7%
팽성읍 6
 
1.7%
Other values (131) 175
50.1%
2024-03-14T19:07:20.116215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
381
23.3%
1 110
 
6.7%
지 67
 
4.1%
번 55
 
3.4%
경 53
 
3.2%
도 53
 
3.2%
평 53
 
3.2%
택 53
 
3.2%
시 53
 
3.2%
기 53
 
3.2%
Other values (74) 701
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 811
49.7%
Space Separator 381
23.3%
Decimal Number 346
21.2%
Dash Punctuation 42
 
2.6%
Other Punctuation 34
 
2.1%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 67
 
8.3%
번 55
 
6.8%
경 53
 
6.5%
도 53
 
6.5%
평 53
 
6.5%
택 53
 
6.5%
시 53
 
6.5%
기 53
 
6.5%
리 51
 
6.3%
호 39
 
4.8%
Other values (59) 281
34.6%
Decimal Number
ValueCountFrequency (%)
1 110
31.8%
2 40
 
11.6%
4 36
 
10.4%
7 29
 
8.4%
8 28
 
8.1%
3 26
 
7.5%
0 22
 
6.4%
5 21
 
6.1%
6 20
 
5.8%
9 14
 
4.0%
Space Separator
ValueCountFrequency (%)
381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 821
50.3%
Hangul 811
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 67
 
8.3%
번 55
 
6.8%
경 53
 
6.5%
도 53
 
6.5%
평 53
 
6.5%
택 53
 
6.5%
시 53
 
6.5%
기 53
 
6.5%
리 51
 
6.3%
호 39
 
4.8%
Other values (59) 281
34.6%
Common
ValueCountFrequency (%)
381
46.4%
1 110
 
13.4%
- 42
 
5.1%
2 40
 
4.9%
4 36
 
4.4%
, 34
 
4.1%
7 29
 
3.5%
8 28
 
3.4%
3 26
 
3.2%
0 22
 
2.7%
Other values (5) 73
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 821
50.3%
Hangul 811
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
381
46.4%
1 110
 
13.4%
- 42
 
5.1%
2 40
 
4.9%
4 36
 
4.4%
, 34
 
4.1%
7 29
 
3.5%
8 28
 
3.4%
3 26
 
3.2%
0 22
 
2.7%
Other values (5) 73
 
8.9%
Hangul
ValueCountFrequency (%)
지 67
 
8.3%
번 55
 
6.8%
경 53
 
6.5%
도 53
 
6.5%
평 53
 
6.5%
택 53
 
6.5%
시 53
 
6.5%
기 53
 
6.5%
리 51
 
6.3%
호 39
 
4.8%
Other values (59) 281
34.6%

사업장소재지(도로명)
Text

MISSING 

Distinct47
Distinct (%)95.9%
Missing4
Missing (%)7.5%
Memory size552.0 B
2024-03-14T19:07:21.693419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length23.938776
Min length19

Characters and Unicode

Total characters1173
Distinct characters85
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

Unique45 ?
Unique (%)91.8%

Sample

1st row경기도 평택시 청북면 고잔1길 35-49
2nd row경기도 평택시 안중읍 학현4길 132 (외2필지)
3rd row경기도 평택시 청북면 청북중앙로 732-19
4th row경기도 평택시 오성면 교포1길 150-3
5th row경기도 평택시 청북면 청북중앙로 500
ValueCountFrequency (%)
경기도 49
18.8%
평택시 49
18.8%
청북면 8
 
3.1%
청북읍 7
 
2.7%
고덕면 7
 
2.7%
팽성읍 6
 
2.3%
오성면 5
 
1.9%
고잔길 5
 
1.9%
청북중앙로 5
 
1.9%
포승읍 4
 
1.5%
Other values (100) 116
44.4%
2024-03-14T19:07:23.267585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
18.1%
1 71
 
6.1%
기 50
 
4.3%
경 50
 
4.3%
평 49
 
4.2%
시 49
 
4.2%
도 49
 
4.2%
택 49
 
4.2%
- 45
 
3.8%
3 33
 
2.8%
Other values (75) 516
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
54.0%
Decimal Number 252
 
21.5%
Space Separator 212
 
18.1%
Dash Punctuation 45
 
3.8%
Open Punctuation 12
 
1.0%
Close Punctuation 11
 
0.9%
Other Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 50
 
7.9%
경 50
 
7.9%
평 49
 
7.7%
시 49
 
7.7%
도 49
 
7.7%
택 49
 
7.7%
길 32
 
5.0%
고 24
 
3.8%
면 24
 
3.8%
북 22
 
3.5%
Other values (60) 236
37.2%
Decimal Number
ValueCountFrequency (%)
1 71
28.2%
3 33
13.1%
2 30
11.9%
5 24
 
9.5%
7 19
 
7.5%
0 18
 
7.1%
6 17
 
6.7%
4 16
 
6.3%
9 14
 
5.6%
8 10
 
4.0%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
54.0%
Common 539
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 50
 
7.9%
경 50
 
7.9%
평 49
 
7.7%
시 49
 
7.7%
도 49
 
7.7%
택 49
 
7.7%
길 32
 
5.0%
고 24
 
3.8%
면 24
 
3.8%
북 22
 
3.5%
Other values (60) 236
37.2%
Common
ValueCountFrequency (%)
212
39.3%
1 71
 
13.2%
- 45
 
8.3%
3 33
 
6.1%
2 30
 
5.6%
5 24
 
4.5%
7 19
 
3.5%
0 18
 
3.3%
6 17
 
3.2%
4 16
 
3.0%
Other values (5) 54
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
54.0%
ASCII 539
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
39.3%
1 71
 
13.2%
- 45
 
8.3%
3 33
 
6.1%
2 30
 
5.6%
5 24
 
4.5%
7 19
 
3.5%
0 18
 
3.3%
6 17
 
3.2%
4 16
 
3.0%
Other values (5) 54
 
10.0%
Hangul
ValueCountFrequency (%)
기 50
 
7.9%
경 50
 
7.9%
평 49
 
7.7%
시 49
 
7.7%
도 49
 
7.7%
택 49
 
7.7%
길 32
 
5.0%
고 24
 
3.8%
면 24
 
3.8%
북 22
 
3.5%
Other values (60) 236
37.2%

사육두수
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2528.5094
Minimum80
Maximum18000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-14T19:07:23.589784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile309
Q11000
median1500
Q32800
95-th percentile9841.8
Maximum18000
Range17920
Interquartile range (IQR)1800

Descriptive statistics

Standard deviation3193.2947
Coefficient of variation (CV)1.2629159
Kurtosis11.256643
Mean2528.5094
Median Absolute Deviation (MAD)790
Skewness3.1314604
Sum134011
Variance10197131
MonotonicityNot monotonic
2024-03-14T19:07:23.840410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1000 4
 
7.5%
3000 2
 
3.8%
1500 2
 
3.8%
2500 2
 
3.8%
2493 1
 
1.9%
6198 1
 
1.9%
2300 1
 
1.9%
799 1
 
1.9%
300 1
 
1.9%
1784 1
 
1.9%
Other values (37) 37
69.8%
ValueCountFrequency (%)
80 1
1.9%
269 1
1.9%
300 1
1.9%
315 1
1.9%
500 1
1.9%
574 1
1.9%
615 1
1.9%
700 1
1.9%
710 1
1.9%
739 1
1.9%
ValueCountFrequency (%)
18000 1
1.9%
10932 1
1.9%
10848 1
1.9%
9171 1
1.9%
6198 1
1.9%
5557 1
1.9%
3626 1
1.9%
3207 1
1.9%
3200 1
1.9%
3100 1
1.9%

동수(계)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0754717
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-14T19:07:24.055879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile9.4
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6879293
Coefficient of variation (CV)0.52959201
Kurtosis1.2638203
Mean5.0754717
Median Absolute Deviation (MAD)2
Skewness0.91682064
Sum269
Variance7.2249637
MonotonicityNot monotonic
2024-03-14T19:07:24.243531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 11
20.8%
5 10
18.9%
7 6
11.3%
3 6
11.3%
8 5
9.4%
2 4
 
7.5%
1 4
 
7.5%
6 3
 
5.7%
13 2
 
3.8%
9 1
 
1.9%
ValueCountFrequency (%)
1 4
 
7.5%
2 4
 
7.5%
3 6
11.3%
4 11
20.8%
5 10
18.9%
6 3
 
5.7%
7 6
11.3%
8 5
9.4%
9 1
 
1.9%
10 1
 
1.9%
ValueCountFrequency (%)
13 2
 
3.8%
10 1
 
1.9%
9 1
 
1.9%
8 5
9.4%
7 6
11.3%
6 3
 
5.7%
5 10
18.9%
4 11
20.8%
3 6
11.3%
2 4
 
7.5%

면적(계)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2467.7338
Minimum332
Maximum12843.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-14T19:07:24.541817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332
5-th percentile523.06
Q11121.59
median1909.81
Q32694
95-th percentile7190.072
Maximum12843.15
Range12511.15
Interquartile range (IQR)1572.41

Descriptive statistics

Standard deviation2232.5528
Coefficient of variation (CV)0.90469759
Kurtosis8.7964414
Mean2467.7338
Median Absolute Deviation (MAD)788.22
Skewness2.6378905
Sum130789.89
Variance4984292
MonotonicityNot monotonic
2024-03-14T19:07:24.822884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1909.81 1
 
1.9%
2659.2 1
 
1.9%
900.0 1
 
1.9%
2355.3 1
 
1.9%
1923.3 1
 
1.9%
3720.1 1
 
1.9%
1121.59 1
 
1.9%
332.0 1
 
1.9%
2497.55 1
 
1.9%
2423.1 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
332.0 1
1.9%
441.12 1
1.9%
488.5 1
1.9%
546.1 1
1.9%
732.6 1
1.9%
799.0 1
1.9%
803.7 1
1.9%
842.7 1
1.9%
900.0 1
1.9%
994.17 1
1.9%
ValueCountFrequency (%)
12843.15 1
1.9%
7780.78 1
1.9%
7652.66 1
1.9%
6881.68 1
1.9%
5578.23 1
1.9%
5076.46 1
1.9%
4491.02 1
1.9%
3720.1 1
1.9%
3467.38 1
1.9%
3060.0 1
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size552.0 B
Minimum2024-03-04 00:00:00
Maximum2024-03-04 00:00:00
2024-03-14T19:07:25.021633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:25.180137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:07:13.345481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:11.912025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:12.680807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:13.612506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:12.171913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:12.860232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:13.858222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:12.420723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:13.101989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:07:25.304637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭사업장소재지(지번)사업장소재지(도로명)사육두수동수(계)면적(계)
사업장명칭1.0001.0001.0001.0001.0001.000
사업장소재지(지번)1.0001.0001.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0000.0000.9860.950
사육두수1.0001.0000.0001.0000.0000.846
동수(계)1.0001.0000.9860.0001.0000.497
면적(계)1.0001.0000.9500.8460.4971.000
2024-03-14T19:07:25.482060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수동수(계)면적(계)
사육두수1.0000.4230.836
동수(계)0.4231.0000.515
면적(계)0.8360.5151.000

Missing values

2024-03-14T19:07:14.220270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:07:14.645136image/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

사업장명칭등록축종사업장소재지(지번)사업장소재지(도로명)사육두수동수(계)면적(계)데이터기준일자
0금형농장돼지경기도 평택시 청북면 고잔리 182번지 1호경기도 평택시 청북면 고잔1길 35-49249361909.812024-03-04
1창원농장돼지경기도 평택시 안중읍 학현리 337번지 1호 외2필지경기도 평택시 안중읍 학현4길 132 (외2필지)320774491.022024-03-04
2세원농장돼지경기도 평택시 청북면 고잔리 11번지 10호경기도 평택시 청북면 청북중앙로 732-1912006997.562024-03-04
3해림2농장돼지경기도 평택시 오성면 교포리 2번지 5호 외 4필지(2-7, -29, 신리 91-50)경기도 평택시 오성면 교포1길 150-3300052396.472024-03-04
4가람농장돼지경기도 평택시 청북면 고잔리 710번지 4호경기도 평택시 청북면 청북중앙로 500320082655.02024-03-04
5덕지농장돼지경기도 평택시 청북읍 고렴리 529번지 3호 ,-4, -12, -13, -15, -17경기도 평택시 청북읍 고렴길 161-51362695076.462024-03-04
6영광농장돼지경기도 평택시 포승읍 방림리 182번지 1호 외 1필지(182-2)경기도 평택시 포승읍 운정길 160-27116231627.452024-03-04
7보성농장돼지경기도 평택시 청북면 고잔리 710번지 5호경기도 평택시 청북면 청북중앙로 500150052118.02024-03-04
8길농장돼지경기도 평택시 포승읍 방림리 628번지 2호경기도 평택시 포승읍 원방림길 4873951035.12024-03-04
9문곡농장돼지경기도 평택시 고덕면 문곡리 204번지경기도 평택시 고덕면 문곡3길 41-5100031251.72024-03-04
사업장명칭등록축종사업장소재지(지번)사업장소재지(도로명)사육두수동수(계)면적(계)데이터기준일자
43농업회사법인 다리농산 주식회사돼지경기도 평택시 오성면 양교리 744번지 , 744-1, 746, 746-1, 746-3, 746-4, 748, 746-5경기도 평택시 오성면 양교길 267202982841.422024-03-04
44다올농장돼지경기도 평택시 고덕면 문곡리 41번지 1호 외1필지(41-2)경기도 평택시 고덕면 문곡1길 12810001732.62024-03-04
45화성양돈돼지경기도 평택시 청북면 고잔리 10번지 8호 외 1필지(11-14)경기도 평택시 청북면 고잔길 141-18125071345.142024-03-04
46해창농장돼지경기도 평택시 고덕면 해창리 154번지경기도 평택시 고덕면 고덕로 36-535741803.72024-03-04
47경북농장돼지경기도 평택시 팽성읍 남산리 204번지 1호 외 6필지(-3,-7,-9,-14,-15,-16)경기도 평택시 팽성읍 대사로 211-369171512843.152024-03-04
48로즈팜돼지경기도 평택시 팽성읍 신호리 172번지 1호 ,-2경기도 평택시 팽성읍 신호2길 58-1051084846881.682024-03-04
49덕지농장2돼지경기도 평택시 청북읍 고렴리 918번지 6호 , 529-1경기도 평택시 청북읍 고렴길 161-39112821578.02024-03-04
50한양농원돼지경기도 평택시 서탄면 마두리 408번지 25호경기도 평택시 서탄면 마두길 75-109169512372.842024-03-04
51청북축산돼지경기도 평택시 청북읍 고잔리 11번지 13호경기도 평택시 청북읍 고잔길 141-203154441.122024-03-04
52덕풍3농장돼지경기도 평택시 독곡동 187번지경기도 평택시 송탄고가길 185-13 (독곡동)115521617.32024-03-04