── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
Rows: 36449 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 38170 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
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ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 82116 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
[[1]]
# A tibble: 23,261 × 7
Domain Area Element Item Year Unit Value
<chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
1 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1961 Head 700000
2 Livestock Primary Afghanistan Yield Milk, whole fr… 1961 hg/An 5000
3 Livestock Primary Afghanistan Production Milk, whole fr… 1961 tonn… 350000
4 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1962 Head 700000
5 Livestock Primary Afghanistan Yield Milk, whole fr… 1962 hg/An 5000
6 Livestock Primary Afghanistan Production Milk, whole fr… 1962 tonn… 350000
7 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1963 Head 780000
8 Livestock Primary Afghanistan Yield Milk, whole fr… 1963 hg/An 5128
9 Livestock Primary Afghanistan Production Milk, whole fr… 1963 tonn… 400000
10 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1964 Head 780000
# ℹ 23,251 more rows
[[2]]
# A tibble: 27,396 × 7
Domain Area Element Item Year Unit Value
<chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
1 Livestock Primary Afghanistan Laying Eggs, hen, in she… 1961 1000… 4000
2 Livestock Primary Afghanistan Yield Eggs, hen, in she… 1961 100m… 25000
3 Livestock Primary Afghanistan Production Eggs, hen, in she… 1961 tonn… 10000
4 Livestock Primary Afghanistan Laying Eggs, hen, in she… 1962 1000… 4400
5 Livestock Primary Afghanistan Yield Eggs, hen, in she… 1962 100m… 25000
6 Livestock Primary Afghanistan Production Eggs, hen, in she… 1962 tonn… 11000
7 Livestock Primary Afghanistan Laying Eggs, hen, in she… 1963 1000… 4600
8 Livestock Primary Afghanistan Yield Eggs, hen, in she… 1963 100m… 25000
9 Livestock Primary Afghanistan Production Eggs, hen, in she… 1963 tonn… 11500
10 Livestock Primary Afghanistan Laying Eggs, hen, in she… 1964 1000… 4800
# ℹ 27,386 more rows
[[3]]
# A tibble: 30,094 × 7
Domain Area Element Item Year Unit Value
<chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
1 Live Animals Afghanistan Stocks Asses 1964 Head 1150000
2 Live Animals Afghanistan Stocks Asses 1973 Head 1250000
3 Live Animals Afghanistan Stocks Asses 1974 Head 1250000
4 Live Animals Afghanistan Stocks Asses 1975 Head 1250000
5 Live Animals Afghanistan Stocks Asses 1976 Head 1250000
6 Live Animals Afghanistan Stocks Asses 1978 Head 1300000
7 Live Animals Afghanistan Stocks Asses 1979 Head 1300000
8 Live Animals Afghanistan Stocks Asses 1980 Head 1295000
9 Live Animals Afghanistan Stocks Asses 1981 Head 1315000
10 Live Animals Afghanistan Stocks Asses 1982 Head 1315000
# ℹ 30,084 more rows
Rows: 36449 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 38170 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 82116 Columns: 14
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (8): Domain Code, Domain, Area, Element, Item, Unit, Flag, Flag Description
dbl (6): Area Code, Element Code, Item Code, Year Code, Year, Value
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
FAOSATA_data
# A tibble: 80,751 × 7
Domain Area Element Item Year Unit Value
<chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
1 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1961 Head 700000
2 Livestock Primary Afghanistan Yield Milk, whole fr… 1961 hg/An 5000
3 Livestock Primary Afghanistan Production Milk, whole fr… 1961 tonn… 350000
4 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1962 Head 700000
5 Livestock Primary Afghanistan Yield Milk, whole fr… 1962 hg/An 5000
6 Livestock Primary Afghanistan Production Milk, whole fr… 1962 tonn… 350000
7 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1963 Head 780000
8 Livestock Primary Afghanistan Yield Milk, whole fr… 1963 hg/An 5128
9 Livestock Primary Afghanistan Production Milk, whole fr… 1963 tonn… 400000
10 Livestock Primary Afghanistan Milk Animals Milk, whole fr… 1964 Head 780000
# ℹ 80,741 more rows
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
$Domain
x Number Freq
1 Live Animals 30094 0.3726765
2 Livestock Primary 50657 0.6273235
$Area
x Number Freq
1 Afghanistan 484 5.993734e-03
2 Africa 116 1.436515e-03
3 Albania 424 5.250709e-03
4 Algeria 331 4.099020e-03
5 American Samoa 446 5.523151e-03
6 Americas 116 1.436515e-03
7 Angola 620 7.677923e-03
8 Antigua and Barbuda 643 7.962750e-03
9 Argentina 464 5.746059e-03
10 Armenia 103 1.275526e-03
11 Asia 116 1.436515e-03
12 Australia 282 3.492217e-03
13 Australia and New Zealand 116 1.436515e-03
14 Austria 135 1.671806e-03
15 Azerbaijan 56 6.934899e-04
16 Bahamas 528 6.538619e-03
17 Bahrain 466 5.770826e-03
18 Bangladesh 387 4.792510e-03
19 Barbados 594 7.355946e-03
20 Belarus 124 1.535585e-03
21 Belgium 72 8.916298e-04
22 Belgium-Luxembourg 82 1.015467e-03
23 Belize 473 5.857513e-03
24 Benin 346 4.284777e-03
25 Bermuda 512 6.340479e-03
26 Bhutan 622 7.702691e-03
27 Bolivia (Plurinational State of) 473 5.857513e-03
28 Bosnia and Herzegovina 175 2.167156e-03
29 Botswana 494 6.117571e-03
30 Brazil 325 4.024718e-03
31 British Virgin Islands 373 4.619138e-03
32 Brunei Darussalam 316 3.913264e-03
33 Bulgaria 158 1.956632e-03
34 Burkina Faso 433 5.362163e-03
35 Burundi 340 4.210474e-03
36 Cabo Verde 526 6.513851e-03
37 Cambodia 442 5.473616e-03
38 Cameroon 566 7.009201e-03
39 Canada 303 3.752276e-03
40 Caribbean 116 1.436515e-03
41 Cayman Islands 235 2.910181e-03
42 Central African Republic 433 5.362163e-03
43 Central America 116 1.436515e-03
44 Central Asia 54 6.687224e-04
45 Chad 579 7.170190e-03
46 Chile 432 5.349779e-03
47 China, Hong Kong SAR 380 4.705824e-03
48 China, Macao SAR 174 2.154772e-03
49 China, mainland 346 4.284777e-03
50 China, Taiwan Province of 192 2.377680e-03
51 Colombia 373 4.619138e-03
52 Comoros 555 6.872980e-03
53 Congo 519 6.427165e-03
54 Cook Islands 315 3.900880e-03
55 Costa Rica 522 6.464316e-03
56 Côte d'Ivoire 333 4.123788e-03
57 Croatia 74 9.163973e-04
58 Cuba 263 3.256926e-03
59 Cyprus 334 4.136172e-03
60 Czechia 61 7.554086e-04
61 Czechoslovakia 87 1.077386e-03
62 Democratic People's Republic of Korea 551 6.823445e-03
63 Democratic Republic of the Congo 379 4.693440e-03
64 Denmark 108 1.337445e-03
65 Djibouti 430 5.325011e-03
66 Dominica 567 7.021585e-03
67 Dominican Republic 591 7.318795e-03
68 Eastern Africa 116 1.436515e-03
69 Eastern Asia 116 1.436515e-03
70 Eastern Europe 116 1.436515e-03
71 Ecuador 283 3.504601e-03
72 Egypt 329 4.074253e-03
73 El Salvador 467 5.783210e-03
74 Equatorial Guinea 388 4.804894e-03
75 Eritrea 248 3.071169e-03
76 Estonia 64 7.925598e-04
77 Eswatini 487 6.030885e-03
78 Ethiopia 217 2.687273e-03
79 Ethiopia PDR 310 3.838962e-03
80 Europe 116 1.436515e-03
81 Falkland Islands (Malvinas) 244 3.021634e-03
82 Faroe Islands 46 5.696524e-04
83 Fiji 490 6.068036e-03
84 Finland 141 1.746108e-03
85 France 196 2.427215e-03
86 French Guyana 402 4.978267e-03
87 French Polynesia 515 6.377630e-03
88 Gabon 504 6.241409e-03
89 Gambia 519 6.427165e-03
90 Georgia 155 1.919481e-03
91 Germany 134 1.659422e-03
92 Ghana 478 5.919431e-03
93 Greece 176 2.179540e-03
94 Greenland 46 5.696524e-04
95 Grenada 697 8.631472e-03
96 Guadeloupe 499 6.179490e-03
97 Guam 279 3.455066e-03
98 Guatemala 429 5.312628e-03
99 Guinea 525 6.501467e-03
100 Guinea-Bissau 644 7.975133e-03
101 Guyana 639 7.913215e-03
102 Haiti 723 8.953449e-03
103 Honduras 543 6.724375e-03
104 Hungary 237 2.934948e-03
105 Iceland 176 2.179540e-03
106 India 582 7.207341e-03
107 Indonesia 176 2.179540e-03
108 Iran (Islamic Republic of) 484 5.993734e-03
109 Iraq 637 7.888447e-03
110 Ireland 282 3.492217e-03
111 Israel 375 4.643905e-03
112 Italy 227 2.811111e-03
113 Jamaica 657 8.136122e-03
114 Japan 183 2.266226e-03
115 Jordan 356 4.408614e-03
116 Kazakhstan 138 1.708957e-03
117 Kenya 428 5.300244e-03
118 Kiribati 215 2.662506e-03
119 Kuwait 292 3.616054e-03
120 Kyrgyzstan 145 1.795643e-03
121 Lao People's Democratic Republic 432 5.349779e-03
122 Latvia 69 8.544786e-04
123 Lebanon 471 5.832745e-03
124 Lesotho 437 5.411698e-03
125 Liberia 578 7.157806e-03
126 Libya 441 5.461233e-03
127 Liechtenstein 238 2.947332e-03
128 Lithuania 69 8.544786e-04
129 Luxembourg 38 4.705824e-04
130 Madagascar 492 6.092804e-03
131 Malawi 389 4.817278e-03
132 Malaysia 358 4.433382e-03
133 Mali 413 5.114488e-03
134 Malta 377 4.668673e-03
135 Martinique 402 4.978267e-03
136 Mauritania 541 6.699607e-03
137 Mauritius 597 7.393097e-03
138 Melanesia 116 1.436515e-03
139 Mexico 304 3.764659e-03
140 Micronesia 58 7.182574e-04
141 Micronesia (Federated States of) 168 2.080470e-03
142 Middle Africa 116 1.436515e-03
143 Mongolia 194 2.402447e-03
144 Montenegro 54 6.687224e-04
145 Montserrat 619 7.665540e-03
146 Morocco 385 4.767743e-03
147 Mozambique 509 6.303328e-03
148 Myanmar 341 4.222858e-03
149 Namibia 586 7.256876e-03
150 Nauru 232 2.873029e-03
151 Nepal 329 4.074253e-03
152 Netherlands 171 2.117621e-03
153 Netherlands Antilles (former) 638 7.900831e-03
154 New Caledonia 460 5.696524e-03
155 New Zealand 191 2.365296e-03
156 Nicaragua 600 7.430249e-03
157 Niger 387 4.792510e-03
158 Nigeria 480 5.944199e-03
159 Niue 420 5.201174e-03
160 Norfolk Island 5 6.191874e-05
161 North Macedonia 103 1.275526e-03
162 Northern Africa 116 1.436515e-03
163 Northern America 116 1.436515e-03
164 Northern Europe 116 1.436515e-03
165 Norway 142 1.758492e-03
166 Oceania 116 1.436515e-03
167 Oman 466 5.770826e-03
168 Pacific Islands Trust Territory 166 2.055702e-03
169 Pakistan 298 3.690357e-03
170 Palestine 117 1.448898e-03
171 Panama 338 4.185707e-03
172 Papua New Guinea 515 6.377630e-03
173 Paraguay 422 5.225941e-03
174 Peru 312 3.863729e-03
175 Philippines 391 4.842045e-03
176 Poland 134 1.659422e-03
177 Polynesia 116 1.436515e-03
178 Portugal 423 5.238325e-03
179 Puerto Rico 490 6.068036e-03
180 Qatar 316 3.913264e-03
181 Republic of Korea 207 2.563436e-03
182 Republic of Moldova 85 1.052619e-03
183 Réunion 387 4.792510e-03
184 Romania 219 2.712041e-03
185 Russian Federation 95 1.176456e-03
186 Rwanda 352 4.359079e-03
187 Saint Helena, Ascension and Tristan da Cunha 233 2.885413e-03
188 Saint Kitts and Nevis 338 4.185707e-03
189 Saint Lucia 660 8.173273e-03
190 Saint Pierre and Miquelon 142 1.758492e-03
191 Saint Vincent and the Grenadines 547 6.773910e-03
192 Samoa 465 5.758443e-03
193 Sao Tome and Principe 640 7.925598e-03
194 Saudi Arabia 374 4.631522e-03
195 Senegal 289 3.578903e-03
196 Serbia 27 3.343612e-04
197 Serbia and Montenegro 32 3.962799e-04
198 Seychelles 457 5.659373e-03
199 Sierra Leone 532 6.588154e-03
200 Singapore 230 2.848262e-03
201 Slovakia 52 6.439549e-04
202 Slovenia 66 8.173273e-04
203 Solomon Islands 499 6.179490e-03
204 Somalia 738 9.139206e-03
205 South-eastern Asia 116 1.436515e-03
206 South Africa 391 4.842045e-03
207 South America 116 1.436515e-03
208 South Sudan 42 5.201174e-04
209 Southern Africa 116 1.436515e-03
210 Southern Asia 116 1.436515e-03
211 Southern Europe 116 1.436515e-03
212 Spain 176 2.179540e-03
213 Sri Lanka 206 2.551052e-03
214 Sudan 27 3.343612e-04
215 Sudan (former) 411 5.089720e-03
216 Suriname 315 3.900880e-03
217 Sweden 146 1.808027e-03
218 Switzerland 176 2.179540e-03
219 Syrian Arab Republic 236 2.922564e-03
220 Tajikistan 133 1.647038e-03
221 Thailand 410 5.077337e-03
222 Timor-Leste 278 3.442682e-03
223 Togo 448 5.547919e-03
224 Tokelau 228 2.823494e-03
225 Tonga 462 5.721291e-03
226 Trinidad and Tobago 690 8.544786e-03
227 Tunisia 537 6.650072e-03
228 Turkey 170 2.105237e-03
229 Turkmenistan 281 3.479833e-03
230 Tuvalu 215 2.662506e-03
231 Uganda 403 4.990650e-03
232 Ukraine 100 1.238375e-03
233 United Arab Emirates 399 4.941115e-03
234 United Kingdom of Great Britain and Northern Ireland 150 1.857562e-03
235 United Republic of Tanzania 447 5.535535e-03
236 United States of America 290 3.591287e-03
237 United States Virgin Islands 491 6.080420e-03
238 Uruguay 444 5.498384e-03
239 USSR 129 1.597503e-03
240 Uzbekistan 107 1.325061e-03
241 Vanuatu 529 6.551002e-03
242 Venezuela (Bolivarian Republic of) 383 4.742975e-03
243 Viet Nam 332 4.111404e-03
244 Wallis and Futuna Islands 557 6.897747e-03
245 Western Africa 116 1.436515e-03
246 Western Asia 116 1.436515e-03
247 Western Europe 116 1.436515e-03
248 Western Sahara 183 2.266226e-03
249 World 116 1.436515e-03
250 Yemen 449 5.560303e-03
251 Yugoslav SFR 117 1.448898e-03
252 Zambia 533 6.600537e-03
253 Zimbabwe 530 6.563386e-03
$Element
x Number Freq
1 Laying 8034 0.09949103
2 Milk Animals 6296 0.07796807
3 Production 11555 0.14309420
4 Stocks 30094 0.37267650
5 Yield 24772 0.30677019
$Item
x Number Freq
1 Asses 4760 0.058946638
2 Buffaloes 648 0.008024668
3 Camels 1018 0.012606655
4 Cattle 3388 0.041956137
5 Eggs, hen, in shell 27396 0.339265148
6 Goats 4484 0.055528724
7 Horses 4838 0.059912571
8 Milk, whole fresh cow 23261 0.288058352
9 Mules 3277 0.040581541
10 Pigs 3995 0.049473072
11 Sheep 3686 0.045646494
$Unit
x Number Freq
1 1000 Head 8034 0.09949103
2 100mg/An 12651 0.15666679
3 Head 36390 0.45064457
4 hg/An 12121 0.15010340
5 tonnes 11555 0.14309420
map_dfr(character, summary_characteristcs)
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
Joining with `by = join_by(x)`
x Number Freq
1 Live Animals 30094 3.726765e-01
2 Livestock Primary 50657 6.273235e-01
3 Afghanistan 484 5.993734e-03
4 Africa 116 1.436515e-03
5 Albania 424 5.250709e-03
6 Algeria 331 4.099020e-03
7 American Samoa 446 5.523151e-03
8 Americas 116 1.436515e-03
9 Angola 620 7.677923e-03
10 Antigua and Barbuda 643 7.962750e-03
11 Argentina 464 5.746059e-03
12 Armenia 103 1.275526e-03
13 Asia 116 1.436515e-03
14 Australia 282 3.492217e-03
15 Australia and New Zealand 116 1.436515e-03
16 Austria 135 1.671806e-03
17 Azerbaijan 56 6.934899e-04
18 Bahamas 528 6.538619e-03
19 Bahrain 466 5.770826e-03
20 Bangladesh 387 4.792510e-03
21 Barbados 594 7.355946e-03
22 Belarus 124 1.535585e-03
23 Belgium 72 8.916298e-04
24 Belgium-Luxembourg 82 1.015467e-03
25 Belize 473 5.857513e-03
26 Benin 346 4.284777e-03
27 Bermuda 512 6.340479e-03
28 Bhutan 622 7.702691e-03
29 Bolivia (Plurinational State of) 473 5.857513e-03
30 Bosnia and Herzegovina 175 2.167156e-03
31 Botswana 494 6.117571e-03
32 Brazil 325 4.024718e-03
33 British Virgin Islands 373 4.619138e-03
34 Brunei Darussalam 316 3.913264e-03
35 Bulgaria 158 1.956632e-03
36 Burkina Faso 433 5.362163e-03
37 Burundi 340 4.210474e-03
38 Cabo Verde 526 6.513851e-03
39 Cambodia 442 5.473616e-03
40 Cameroon 566 7.009201e-03
41 Canada 303 3.752276e-03
42 Caribbean 116 1.436515e-03
43 Cayman Islands 235 2.910181e-03
44 Central African Republic 433 5.362163e-03
45 Central America 116 1.436515e-03
46 Central Asia 54 6.687224e-04
47 Chad 579 7.170190e-03
48 Chile 432 5.349779e-03
49 China, Hong Kong SAR 380 4.705824e-03
50 China, Macao SAR 174 2.154772e-03
51 China, mainland 346 4.284777e-03
52 China, Taiwan Province of 192 2.377680e-03
53 Colombia 373 4.619138e-03
54 Comoros 555 6.872980e-03
55 Congo 519 6.427165e-03
56 Cook Islands 315 3.900880e-03
57 Costa Rica 522 6.464316e-03
58 Côte d'Ivoire 333 4.123788e-03
59 Croatia 74 9.163973e-04
60 Cuba 263 3.256926e-03
61 Cyprus 334 4.136172e-03
62 Czechia 61 7.554086e-04
63 Czechoslovakia 87 1.077386e-03
64 Democratic People's Republic of Korea 551 6.823445e-03
65 Democratic Republic of the Congo 379 4.693440e-03
66 Denmark 108 1.337445e-03
67 Djibouti 430 5.325011e-03
68 Dominica 567 7.021585e-03
69 Dominican Republic 591 7.318795e-03
70 Eastern Africa 116 1.436515e-03
71 Eastern Asia 116 1.436515e-03
72 Eastern Europe 116 1.436515e-03
73 Ecuador 283 3.504601e-03
74 Egypt 329 4.074253e-03
75 El Salvador 467 5.783210e-03
76 Equatorial Guinea 388 4.804894e-03
77 Eritrea 248 3.071169e-03
78 Estonia 64 7.925598e-04
79 Eswatini 487 6.030885e-03
80 Ethiopia 217 2.687273e-03
81 Ethiopia PDR 310 3.838962e-03
82 Europe 116 1.436515e-03
83 Falkland Islands (Malvinas) 244 3.021634e-03
84 Faroe Islands 46 5.696524e-04
85 Fiji 490 6.068036e-03
86 Finland 141 1.746108e-03
87 France 196 2.427215e-03
88 French Guyana 402 4.978267e-03
89 French Polynesia 515 6.377630e-03
90 Gabon 504 6.241409e-03
91 Gambia 519 6.427165e-03
92 Georgia 155 1.919481e-03
93 Germany 134 1.659422e-03
94 Ghana 478 5.919431e-03
95 Greece 176 2.179540e-03
96 Greenland 46 5.696524e-04
97 Grenada 697 8.631472e-03
98 Guadeloupe 499 6.179490e-03
99 Guam 279 3.455066e-03
100 Guatemala 429 5.312628e-03
101 Guinea 525 6.501467e-03
102 Guinea-Bissau 644 7.975133e-03
103 Guyana 639 7.913215e-03
104 Haiti 723 8.953449e-03
105 Honduras 543 6.724375e-03
106 Hungary 237 2.934948e-03
107 Iceland 176 2.179540e-03
108 India 582 7.207341e-03
109 Indonesia 176 2.179540e-03
110 Iran (Islamic Republic of) 484 5.993734e-03
111 Iraq 637 7.888447e-03
112 Ireland 282 3.492217e-03
113 Israel 375 4.643905e-03
114 Italy 227 2.811111e-03
115 Jamaica 657 8.136122e-03
116 Japan 183 2.266226e-03
117 Jordan 356 4.408614e-03
118 Kazakhstan 138 1.708957e-03
119 Kenya 428 5.300244e-03
120 Kiribati 215 2.662506e-03
121 Kuwait 292 3.616054e-03
122 Kyrgyzstan 145 1.795643e-03
123 Lao People's Democratic Republic 432 5.349779e-03
124 Latvia 69 8.544786e-04
125 Lebanon 471 5.832745e-03
126 Lesotho 437 5.411698e-03
127 Liberia 578 7.157806e-03
128 Libya 441 5.461233e-03
129 Liechtenstein 238 2.947332e-03
130 Lithuania 69 8.544786e-04
131 Luxembourg 38 4.705824e-04
132 Madagascar 492 6.092804e-03
133 Malawi 389 4.817278e-03
134 Malaysia 358 4.433382e-03
135 Mali 413 5.114488e-03
136 Malta 377 4.668673e-03
137 Martinique 402 4.978267e-03
138 Mauritania 541 6.699607e-03
139 Mauritius 597 7.393097e-03
140 Melanesia 116 1.436515e-03
141 Mexico 304 3.764659e-03
142 Micronesia 58 7.182574e-04
143 Micronesia (Federated States of) 168 2.080470e-03
144 Middle Africa 116 1.436515e-03
145 Mongolia 194 2.402447e-03
146 Montenegro 54 6.687224e-04
147 Montserrat 619 7.665540e-03
148 Morocco 385 4.767743e-03
149 Mozambique 509 6.303328e-03
150 Myanmar 341 4.222858e-03
151 Namibia 586 7.256876e-03
152 Nauru 232 2.873029e-03
153 Nepal 329 4.074253e-03
154 Netherlands 171 2.117621e-03
155 Netherlands Antilles (former) 638 7.900831e-03
156 New Caledonia 460 5.696524e-03
157 New Zealand 191 2.365296e-03
158 Nicaragua 600 7.430249e-03
159 Niger 387 4.792510e-03
160 Nigeria 480 5.944199e-03
161 Niue 420 5.201174e-03
162 Norfolk Island 5 6.191874e-05
163 North Macedonia 103 1.275526e-03
164 Northern Africa 116 1.436515e-03
165 Northern America 116 1.436515e-03
166 Northern Europe 116 1.436515e-03
167 Norway 142 1.758492e-03
168 Oceania 116 1.436515e-03
169 Oman 466 5.770826e-03
170 Pacific Islands Trust Territory 166 2.055702e-03
171 Pakistan 298 3.690357e-03
172 Palestine 117 1.448898e-03
173 Panama 338 4.185707e-03
174 Papua New Guinea 515 6.377630e-03
175 Paraguay 422 5.225941e-03
176 Peru 312 3.863729e-03
177 Philippines 391 4.842045e-03
178 Poland 134 1.659422e-03
179 Polynesia 116 1.436515e-03
180 Portugal 423 5.238325e-03
181 Puerto Rico 490 6.068036e-03
182 Qatar 316 3.913264e-03
183 Republic of Korea 207 2.563436e-03
184 Republic of Moldova 85 1.052619e-03
185 Réunion 387 4.792510e-03
186 Romania 219 2.712041e-03
187 Russian Federation 95 1.176456e-03
188 Rwanda 352 4.359079e-03
189 Saint Helena, Ascension and Tristan da Cunha 233 2.885413e-03
190 Saint Kitts and Nevis 338 4.185707e-03
191 Saint Lucia 660 8.173273e-03
192 Saint Pierre and Miquelon 142 1.758492e-03
193 Saint Vincent and the Grenadines 547 6.773910e-03
194 Samoa 465 5.758443e-03
195 Sao Tome and Principe 640 7.925598e-03
196 Saudi Arabia 374 4.631522e-03
197 Senegal 289 3.578903e-03
198 Serbia 27 3.343612e-04
199 Serbia and Montenegro 32 3.962799e-04
200 Seychelles 457 5.659373e-03
201 Sierra Leone 532 6.588154e-03
202 Singapore 230 2.848262e-03
203 Slovakia 52 6.439549e-04
204 Slovenia 66 8.173273e-04
205 Solomon Islands 499 6.179490e-03
206 Somalia 738 9.139206e-03
207 South-eastern Asia 116 1.436515e-03
208 South Africa 391 4.842045e-03
209 South America 116 1.436515e-03
210 South Sudan 42 5.201174e-04
211 Southern Africa 116 1.436515e-03
212 Southern Asia 116 1.436515e-03
213 Southern Europe 116 1.436515e-03
214 Spain 176 2.179540e-03
215 Sri Lanka 206 2.551052e-03
216 Sudan 27 3.343612e-04
217 Sudan (former) 411 5.089720e-03
218 Suriname 315 3.900880e-03
219 Sweden 146 1.808027e-03
220 Switzerland 176 2.179540e-03
221 Syrian Arab Republic 236 2.922564e-03
222 Tajikistan 133 1.647038e-03
223 Thailand 410 5.077337e-03
224 Timor-Leste 278 3.442682e-03
225 Togo 448 5.547919e-03
226 Tokelau 228 2.823494e-03
227 Tonga 462 5.721291e-03
228 Trinidad and Tobago 690 8.544786e-03
229 Tunisia 537 6.650072e-03
230 Turkey 170 2.105237e-03
231 Turkmenistan 281 3.479833e-03
232 Tuvalu 215 2.662506e-03
233 Uganda 403 4.990650e-03
234 Ukraine 100 1.238375e-03
235 United Arab Emirates 399 4.941115e-03
236 United Kingdom of Great Britain and Northern Ireland 150 1.857562e-03
237 United Republic of Tanzania 447 5.535535e-03
238 United States of America 290 3.591287e-03
239 United States Virgin Islands 491 6.080420e-03
240 Uruguay 444 5.498384e-03
241 USSR 129 1.597503e-03
242 Uzbekistan 107 1.325061e-03
243 Vanuatu 529 6.551002e-03
244 Venezuela (Bolivarian Republic of) 383 4.742975e-03
245 Viet Nam 332 4.111404e-03
246 Wallis and Futuna Islands 557 6.897747e-03
247 Western Africa 116 1.436515e-03
248 Western Asia 116 1.436515e-03
249 Western Europe 116 1.436515e-03
250 Western Sahara 183 2.266226e-03
251 World 116 1.436515e-03
252 Yemen 449 5.560303e-03
253 Yugoslav SFR 117 1.448898e-03
254 Zambia 533 6.600537e-03
255 Zimbabwe 530 6.563386e-03
256 Laying 8034 9.949103e-02
257 Milk Animals 6296 7.796807e-02
258 Production 11555 1.430942e-01
259 Stocks 30094 3.726765e-01
260 Yield 24772 3.067702e-01
261 Asses 4760 5.894664e-02
262 Buffaloes 648 8.024668e-03
263 Camels 1018 1.260666e-02
264 Cattle 3388 4.195614e-02
265 Eggs, hen, in shell 27396 3.392651e-01
266 Goats 4484 5.552872e-02
267 Horses 4838 5.991257e-02
268 Milk, whole fresh cow 23261 2.880584e-01
269 Mules 3277 4.058154e-02
270 Pigs 3995 4.947307e-02
271 Sheep 3686 4.564649e-02
272 1000 Head 8034 9.949103e-02
273 100mg/An 12651 1.566668e-01
274 Head 36390 4.506446e-01
275 hg/An 12121 1.501034e-01
276 tonnes 11555 1.430942e-01