Overview

Dataset statistics

Number of variables7
Number of observations204
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory62.6 B

Variable types

Text1
Numeric6

Dataset

Description농식품수출정보시스템에서 관리하고 있는 204개의 국가별 연간 수출실적으로 수출 중량, 수출 금액, 전년대비 증가율에 대한 정보를 나타냄
Author한국농수산식품유통공사
URLhttps://www.data.go.kr/data/15089514/fileData.do

Alerts

21년 중량(키로그램) is highly overall correlated with 21년 금액(달러) and 2 other fieldsHigh correlation
21년 금액(달러) is highly overall correlated with 21년 중량(키로그램) and 2 other fieldsHigh correlation
22년 중량(키로그램) is highly overall correlated with 21년 중량(키로그램) and 2 other fieldsHigh correlation
22년 금액(달러) is highly overall correlated with 21년 중량(키로그램) and 2 other fieldsHigh correlation
전년대비 중량(퍼센트) is highly overall correlated with 전년대비 금액(퍼센트)High correlation
전년대비 금액(퍼센트) is highly overall correlated with 전년대비 중량(퍼센트)High correlation
국가명 has unique valuesUnique
21년 중량(키로그램) has 4 (2.0%) zerosZeros
21년 금액(달러) has 4 (2.0%) zerosZeros
22년 중량(키로그램) has 6 (2.9%) zerosZeros
22년 금액(달러) has 6 (2.9%) zerosZeros
전년대비 중량(퍼센트) has 4 (2.0%) zerosZeros
전년대비 금액(퍼센트) has 4 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 05:17:51.059116
Analysis finished2023-12-12 05:17:55.147070
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가명
Text

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T14:17:55.391682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length4.0980392
Min length1

Characters and Unicode

Total characters836
Distinct characters184
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

Unique204 ?
Unique (%)100.0%

Sample

1st row가나
2nd row가봉
3rd row가이아나
4th row감비아
5th row과들루프
ValueCountFrequency (%)
제도 4
 
1.8%
공화국 3
 
1.4%
버진아일랜드 2
 
0.9%
프랑스령 2
 
0.9%
기니 2
 
0.9%
일본 1
 
0.5%
우간다 1
 
0.5%
우루과이 1
 
0.5%
우즈베키스탄 1
 
0.5%
우크라이나 1
 
0.5%
Other values (201) 201
91.8%
2023-12-12T14:17:55.867453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 61
 
7.3%
스 33
 
3.9%
리 31
 
3.7%
르 24
 
2.9%
니 24
 
2.9%
이 22
 
2.6%
라 21
 
2.5%
15
 
1.8%
국 15
 
1.8%
나 15
 
1.8%
Other values (174) 575
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
98.1%
Space Separator 15
 
1.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 61
 
7.4%
스 33
 
4.0%
리 31
 
3.8%
르 24
 
2.9%
니 24
 
2.9%
이 22
 
2.7%
라 21
 
2.6%
국 15
 
1.8%
나 15
 
1.8%
도 15
 
1.8%
Other values (172) 559
68.2%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
98.1%
Common 16
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 61
 
7.4%
스 33
 
4.0%
리 31
 
3.8%
르 24
 
2.9%
니 24
 
2.9%
이 22
 
2.7%
라 21
 
2.6%
국 15
 
1.8%
나 15
 
1.8%
도 15
 
1.8%
Other values (172) 559
68.2%
Common
ValueCountFrequency (%)
15
93.8%
- 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
98.1%
ASCII 16
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 61
 
7.4%
스 33
 
4.0%
리 31
 
3.8%
르 24
 
2.9%
니 24
 
2.9%
이 22
 
2.7%
라 21
 
2.6%
국 15
 
1.8%
나 15
 
1.8%
도 15
 
1.8%
Other values (172) 559
68.2%
ASCII
ValueCountFrequency (%)
15
93.8%
- 1
 
6.2%

21년 중량(키로그램)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct201
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23930776
Minimum0
Maximum8.8729598 × 108
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T14:17:56.076808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.305
Q1110827.25
median954888.85
Q36782795.2
95-th percentile87887528
Maximum8.8729598 × 108
Range8.8729598 × 108
Interquartile range (IQR)6671967.9

Descriptive statistics

Standard deviation1.0192677 × 108
Coefficient of variation (CV)4.2592338
Kurtosis47.270012
Mean23930776
Median Absolute Deviation (MAD)952095.25
Skewness6.6131615
Sum4.8818784 × 109
Variance1.0389067 × 1016
MonotonicityNot monotonic
2023-12-12T14:17:56.268379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
2.0%
9573943.0 1
 
0.5%
798278115.3 1
 
0.5%
841160.8 1
 
0.5%
2832713.7 1
 
0.5%
1830050.3 1
 
0.5%
11926957.9 1
 
0.5%
413303.7 1
 
0.5%
6778752.2 1
 
0.5%
8186253.9 1
 
0.5%
Other values (191) 191
93.6%
ValueCountFrequency (%)
0.0 4
2.0%
0.4 1
 
0.5%
0.9 1
 
0.5%
1.1 1
 
0.5%
2.0 1
 
0.5%
14.8 1
 
0.5%
32.1 1
 
0.5%
46.0 1
 
0.5%
74.7 1
 
0.5%
189.0 1
 
0.5%
ValueCountFrequency (%)
887295981.5 1
0.5%
798278115.3 1
0.5%
618564179.5 1
0.5%
418285459.9 1
0.5%
256332491.1 1
0.5%
222864581.1 1
0.5%
201587001.6 1
0.5%
146879654.7 1
0.5%
129287787.4 1
0.5%
99012915.5 1
0.5%

21년 금액(달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct201
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55753283
Minimum0
Maximum2.0659831 × 109
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T14:17:56.465315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile553.1
Q1185565
median1886914
Q311008532
95-th percentile2.0168774 × 108
Maximum2.0659831 × 109
Range2.0659831 × 109
Interquartile range (IQR)10822968

Descriptive statistics

Standard deviation2.4563312 × 108
Coefficient of variation (CV)4.4057158
Kurtosis51.645176
Mean55753283
Median Absolute Deviation (MAD)1863166.5
Skewness6.9689984
Sum1.137367 × 1010
Variance6.033563 × 1016
MonotonicityNot monotonic
2023-12-12T14:17:56.931020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.0%
10934451 1
 
0.5%
2056693015 1
 
0.5%
1694387 1
 
0.5%
6442897 1
 
0.5%
14455236 1
 
0.5%
9372420 1
 
0.5%
1868486 1
 
0.5%
34317460 1
 
0.5%
18982376 1
 
0.5%
Other values (191) 191
93.6%
ValueCountFrequency (%)
0 4
2.0%
40 1
 
0.5%
59 1
 
0.5%
85 1
 
0.5%
111 1
 
0.5%
127 1
 
0.5%
376 1
 
0.5%
536 1
 
0.5%
650 1
 
0.5%
1168 1
 
0.5%
ValueCountFrequency (%)
2065983080 1
0.5%
2056693015 1
0.5%
1656639295 1
0.5%
752627547 1
0.5%
460820797 1
0.5%
453640473 1
0.5%
402370055 1
0.5%
285375906 1
0.5%
242422175 1
0.5%
238438989 1
0.5%

22년 중량(키로그램)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct199
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24273120
Minimum0
Maximum9.2833462 × 108
Zeros6
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T14:17:57.078250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.375
Q1111897.18
median1014261.5
Q35818425.4
95-th percentile80211479
Maximum9.2833462 × 108
Range9.2833462 × 108
Interquartile range (IQR)5706528.3

Descriptive statistics

Standard deviation1.0693971 × 108
Coefficient of variation (CV)4.4056846
Kurtosis49.096806
Mean24273120
Median Absolute Deviation (MAD)997961.05
Skewness6.7784269
Sum4.9517165 × 109
Variance1.1436102 × 1016
MonotonicityNot monotonic
2023-12-12T14:17:57.218393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
2.9%
26642931.2 1
 
0.5%
339146.4 1
 
0.5%
2108022.6 1
 
0.5%
666299.1 1
 
0.5%
8973781.0 1
 
0.5%
107983.9 1
 
0.5%
4517000.2 1
 
0.5%
3317733.6 1
 
0.5%
13209339.0 1
 
0.5%
Other values (189) 189
92.6%
ValueCountFrequency (%)
0.0 6
2.9%
1.0 1
 
0.5%
5.9 1
 
0.5%
9.0 1
 
0.5%
9.1 1
 
0.5%
20.0 1
 
0.5%
42.5 1
 
0.5%
400.3 1
 
0.5%
463.0 1
 
0.5%
1998.0 1
 
0.5%
ValueCountFrequency (%)
928334621.4 1
0.5%
845313611.2 1
0.5%
687756065.3 1
0.5%
414908082.8 1
0.5%
244986817.3 1
0.5%
204739822.1 1
0.5%
183681428.8 1
0.5%
139257168.6 1
0.5%
133729657.6 1
0.5%
87287402.0 1
0.5%

22년 금액(달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct199
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58638529
Minimum0
Maximum2.1971274 × 109
Zeros6
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T14:17:57.356731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1125.5
Q1213609
median1780761
Q310001957
95-th percentile2.3411723 × 108
Maximum2.1971274 × 109
Range2.1971274 × 109
Interquartile range (IQR)9788347.8

Descriptive statistics

Standard deviation2.572623 × 108
Coefficient of variation (CV)4.3872572
Kurtosis51.536275
Mean58638529
Median Absolute Deviation (MAD)1769671
Skewness6.9353462
Sum1.196226 × 1010
Variance6.6183893 × 1016
MonotonicityNot monotonic
2023-12-12T14:17:57.492197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
2.9%
24352771 1
 
0.5%
485309 1
 
0.5%
6742213 1
 
0.5%
5698387 1
 
0.5%
10636674 1
 
0.5%
677975 1
 
0.5%
42057427 1
 
0.5%
11772941 1
 
0.5%
70309086 1
 
0.5%
Other values (189) 189
92.6%
ValueCountFrequency (%)
0 6
2.9%
2 1
 
0.5%
50 1
 
0.5%
115 1
 
0.5%
923 1
 
0.5%
1109 1
 
0.5%
1219 1
 
0.5%
1404 1
 
0.5%
1791 1
 
0.5%
5768 1
 
0.5%
ValueCountFrequency (%)
2197127360 1
0.5%
2160736560 1
0.5%
1632559288 1
0.5%
879461770 1
0.5%
486713351 1
0.5%
445449365 1
0.5%
443584295 1
0.5%
318314229 1
0.5%
266142427 1
0.5%
241698604 1
0.5%

전년대비 중량(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct184
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1210.5598
Minimum-100
Maximum175987
Zeros4
Zeros (%)2.0%
Negative98
Negative (%)48.0%
Memory size1.9 KiB
2023-12-12T14:17:57.637171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-94.32
Q1-23.275
median0.1
Q332.925
95-th percentile305.88
Maximum175987
Range176087
Interquartile range (IQR)56.2

Descriptive statistics

Standard deviation12926.631
Coefficient of variation (CV)10.678226
Kurtosis168.23962
Mean1210.5598
Median Absolute Deviation (MAD)26.35
Skewness12.688896
Sum246954.2
Variance1.670978 × 108
MonotonicityNot monotonic
2023-12-12T14:17:57.791898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100.0 8
 
3.9%
0.0 4
 
2.0%
24.5 3
 
1.5%
-12.3 2
 
1.0%
60.6 2
 
1.0%
1.4 2
 
1.0%
-14.0 2
 
1.0%
-8.9 2
 
1.0%
16.7 2
 
1.0%
0.5 2
 
1.0%
Other values (174) 175
85.8%
ValueCountFrequency (%)
-100.0 8
3.9%
-98.2 1
 
0.5%
-98.0 1
 
0.5%
-95.1 1
 
0.5%
-89.9 1
 
0.5%
-88.6 1
 
0.5%
-83.0 1
 
0.5%
-74.6 1
 
0.5%
-73.9 1
 
0.5%
-71.4 1
 
0.5%
ValueCountFrequency (%)
175987.0 1
0.5%
56689.7 1
0.5%
3763.6 1
0.5%
3590.2 1
0.5%
1491.6 1
0.5%
1308.9 1
0.5%
1116.6 1
0.5%
957.1 1
0.5%
684.8 1
0.5%
520.0 1
0.5%

전년대비 금액(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct184
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.85392
Minimum-100
Maximum22416.8
Zeros4
Zeros (%)2.0%
Negative88
Negative (%)43.1%
Memory size1.9 KiB
2023-12-12T14:17:57.958497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-85.83
Q1-16.3
median5.55
Q338.625
95-th percentile348.77
Maximum22416.8
Range22516.8
Interquartile range (IQR)54.925

Descriptive statistics

Standard deviation1736.3828
Coefficient of variation (CV)7.8978934
Kurtosis137.47008
Mean219.85392
Median Absolute Deviation (MAD)27.1
Skewness11.293893
Sum44850.2
Variance3015025.4
MonotonicityNot monotonic
2023-12-12T14:17:58.145827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100.0 6
 
2.9%
0.0 4
 
2.0%
-6.1 2
 
1.0%
-13.3 2
 
1.0%
17.2 2
 
1.0%
24.6 2
 
1.0%
-16.3 2
 
1.0%
-15.6 2
 
1.0%
-0.3 2
 
1.0%
-1.9 2
 
1.0%
Other values (174) 178
87.3%
ValueCountFrequency (%)
-100.0 6
2.9%
-99.8 1
 
0.5%
-98.9 1
 
0.5%
-95.7 1
 
0.5%
-89.0 1
 
0.5%
-87.0 1
 
0.5%
-79.2 1
 
0.5%
-75.6 1
 
0.5%
-75.5 1
 
0.5%
-73.0 1
 
0.5%
ValueCountFrequency (%)
22416.8 1
0.5%
9935.3 1
0.5%
2821.6 1
0.5%
2562.7 1
0.5%
1322.4 1
0.5%
1264.5 1
0.5%
1004.6 1
0.5%
773.2 1
0.5%
393.8 1
0.5%
391.5 1
0.5%

Interactions

2023-12-12T14:17:54.285280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.403484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.026558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.625177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.214334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.705943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.360604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.510519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.131363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.704906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.295485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.808737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.456608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.618265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.219692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.788713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.370896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.899660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.598854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.706677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.320578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.904129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.445907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.996905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.714792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.816347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.427313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.013994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.520442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.097682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.836699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:51.938602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:52.548828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.112469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:53.615748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:17:54.198209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:17:58.296386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
21년 중량(키로그램)21년 금액(달러)22년 중량(키로그램)22년 금액(달러)전년대비 중량(퍼센트)전년대비 금액(퍼센트)
21년 중량(키로그램)1.0000.9390.9510.9340.0000.000
21년 금액(달러)0.9391.0000.9930.9970.0000.000
22년 중량(키로그램)0.9510.9931.0000.9920.0000.000
22년 금액(달러)0.9340.9970.9921.0000.0000.000
전년대비 중량(퍼센트)0.0000.0000.0000.0001.0000.672
전년대비 금액(퍼센트)0.0000.0000.0000.0000.6721.000
2023-12-12T14:17:58.475095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
21년 중량(키로그램)21년 금액(달러)22년 중량(키로그램)22년 금액(달러)전년대비 중량(퍼센트)전년대비 금액(퍼센트)
21년 중량(키로그램)1.0000.9620.9670.922-0.188-0.138
21년 금액(달러)0.9621.0000.9360.968-0.173-0.100
22년 중량(키로그램)0.9670.9361.0000.9510.0030.040
22년 금액(달러)0.9220.9680.9511.000-0.0050.099
전년대비 중량(퍼센트)-0.188-0.1730.003-0.0051.0000.804
전년대비 금액(퍼센트)-0.138-0.1000.0400.0990.8041.000

Missing values

2023-12-12T14:17:54.968154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:17:55.091368image/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

국가명21년 중량(키로그램)21년 금액(달러)22년 중량(키로그램)22년 금액(달러)전년대비 중량(퍼센트)전년대비 금액(퍼센트)
0가나9573943.01093445126642931.224352771178.3122.7
1가봉2186.011684798.65768119.5393.8
2가이아나252194.7198967152751.0136748-39.4-31.3
3감비아0.0020.0500.00.0
4과들루프325765.4274845326622.42709620.3-1.4
5과테말라9185764.2127486089203951.1170022000.233.4
6괌7032442.4139595727069769.6143701320.52.9
7그리스2251038.147089172801941.3600469224.527.5
8기니521101.71270988750957.7180131444.141.7
9기니비사우40000.0264520.00-100.0-100.0
국가명21년 중량(키로그램)21년 금액(달러)22년 중량(키로그램)22년 금액(달러)전년대비 중량(퍼센트)전년대비 금액(퍼센트)
194푸에르토리코930156.57537161233968.6110871832.747.1
195프랑스20396772.510009708630327036.611619551148.716.1
196프랑스령 기아나212022.3163368106087.381120-50.0-50.3
197프랑스령 폴리네시아9087.17280915972.311540075.858.5
198피지243792.7532022426432.685223274.960.2
199핀란드158771.6738451258362.8110957462.750.3
200필리핀129287787.4238438989133729657.62661424273.411.6
201헝가리2184109.025907282359567.430366008.017.2
202호주59003144.419516596966816233.522382432013.214.7
203홍콩222864581.1453640473204739822.1445449365-8.1-1.8