Root or tuber harvesting machines — Import Quantity by country
Important notice: FAOSTAT database on Agriculture Machinery is no longer active. The latest online version of the database has as reference year 2009 (with data collected in year 2011). FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series...
What the numbers show
Root or tuber harvesting machines — Import Quantity is currently reported for 66 countries. The highest value is 3,552 No in Republic of Korea; the lowest is 1 No in Azerbaijan.
The median across all reporting countries is 54.5 No, and the mean is 254.8 No.
The gap between the highest and lowest reporting country is a factor of about 3,552.
Over the past decade 32 countries rose and 31 fell. The largest increase was in Albania (up 11,200.0%), and the largest decrease in Brazil (down 99.8%).
Root or tuber harvesting machines — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 3,552 No | 2008 | up 999.7% | volatile |
| 2 | United Kingdom of Great Britain and Northern Ireland | 2,858 No | 2008 | up 198.6% | rising |
| 3 | Kazakhstan | 1,856 No | 2008 | up 178.7% | volatile |
| 3 | Republic of Moldova | 35 No | 2009 | up 169.2% | volatile |
| 4 | Canada | 1,806 No | 2009 | up 460.9% | volatile |
| 5 | Russian Federation | 917 No | 2009 | up 97.6% | rising |
| 6 | Netherlands (Kingdom of the) | 691 No | 2009 | up 301.7% | volatile |
| 7 | France | 683 No | 2009 | up 1.2% | volatile |
| 8 | Belarus | 481 No | 2009 | up 1,165.8% | volatile |
| 9 | Italy | 392 No | 2009 | up 87.6% | volatile |
| 10 | Albania | 339 No | 2009 | up 11,200.0% | volatile |
| 11 | Sweden | 221 No | 2009 | up 3.8% | volatile |
| 12 | Slovakia | 214 No | 2009 | down 50.8% | volatile |
| 13 | Ukraine | 198 No | 2009 | down 59.8% | volatile |
| 14 | Lithuania | 196 No | 2009 | down 79.4% | volatile |
| 15 | Romania | 185 No | 2009 | down 55.8% | falling |
| 16 | Belgium | 165 No | 2009 | up 61.8% | rising |
| 17 | Egypt | 157 No | 2007 | up 3,040.0% | volatile |
| 18 | Germany | 151 No | 2009 | down 42.1% | falling |
| 19 | T�rkiye | 107 No | 2009 | up 568.8% | volatile |
| 20 | Bosnia and Herzegovina | 102 No | 2009 | up 22.9% | volatile |
| 21 | Poland | 92 No | 2009 | down 85.5% | volatile |
| 21 | China, mainland | 92 No | 2009 | up 475.0% | volatile |
| 21 | China | 92 No | 2009 | up 475.0% | volatile |
| 24 | Austria | 88 No | 2009 | up 23.9% | falling |
| 25 | Czechia | 86 No | 2009 | down 59.6% | volatile |
| 25 | Caribbean | 2 No | 2009 | down 50.0% | volatile |
| 26 | Denmark | 81 No | 2008 | down 37.2% | volatile |
| 27 | Croatia | 78 No | 2009 | up 271.4% | volatile |
| 28 | Latvia | 73 No | 2009 | down 38.1% | volatile |
| 29 | Finland | 67 No | 2009 | — | volatile |
| 29 | Switzerland | 67 No | 2009 | down 6.9% | falling |
| 29 | North Macedonia | 67 No | 2009 | down 15.2% | falling |
| 32 | Mongolia | 60 No | 2008 | up 1,400.0% | volatile |
| 33 | Ireland | 55 No | 2009 | up 22.2% | volatile |
| 34 | Thailand | 54 No | 2009 | up 980.0% | volatile |
| 35 | Tunisia | 48 No | 2007 | down 51.0% | volatile |
| 36 | Bulgaria | 46 No | 2009 | up 557.1% | volatile |
| 37 | Slovenia | 35 No | 2009 | up 20.7% | falling |
| 38 | Greece | 34 No | 2009 | down 92.0% | volatile |
| 39 | Norway | 32 No | 2009 | down 44.8% | falling |
| 40 | Australia | 31 No | 2007 | down 59.7% | falling |
| 41 | Mexico | 30 No | 2009 | down 36.2% | volatile |
| 42 | Japan | 24 No | 2009 | down 25.0% | falling |
| 43 | Estonia | 23 No | 2009 | down 61.0% | volatile |
| 43 | Chile | 23 No | 2009 | down 52.1% | volatile |
| 45 | Argentina | 22 No | 2009 | up 15.8% | volatile |
| 46 | South Africa | 21 No | 2007 | down 59.6% | volatile |
| 47 | Sri Lanka | 13 No | 2009 | up 225.0% | volatile |
| 48 | New Zealand | 10 No | 2009 | down 16.7% | falling |
| 48 | Australia and New Zealand | 10 No | 2009 | down 88.8% | falling |
| 50 | Georgia | 9 No | 2008 | up 80.0% | volatile |
| 51 | Armenia | 6 No | 2009 | up 50.0% | volatile |
| 51 | Cyprus | 6 No | 2009 | down 50.0% | volatile |
| 53 | Malta | 5 No | 2009 | down 54.5% | volatile |
| 53 | Brazil | 5 No | 2009 | down 99.8% | volatile |
| 53 | Kyrgyzstan | 5 No | 2008 | unchanged | rising |
| 56 | Morocco | 3 No | 2007 | down 66.7% | volatile |
| 56 | Colombia | 3 No | 2009 | unchanged | volatile |
| 56 | Luxembourg | 3 No | 2009 | up 50.0% | volatile |
| 59 | Qatar | 2 No | 2008 | up 100.0% | volatile |
| 59 | Pakistan | 2 No | 2009 | down 33.3% | volatile |
| 59 | Nicaragua | 2 No | 2008 | up 100.0% | volatile |
| 59 | Zimbabwe | 2 No | 2007 | down 75.0% | volatile |
| 63 | Uruguay | 1 No | 2009 | down 80.0% | volatile |
| 63 | Azerbaijan | 1 No | 2009 | down 75.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 86,320 No
- Asia 2,221 No
- Europe 82,095 No
- Land Locked Developing Countries 111 No
- Southern Europe 77,326 No
- European Union (27) 4,674 No
- Eastern Europe 2,254 No
- Americas 1,994 No
- Northern America 1,906 No
- Central Asia 1,861 No
- Western Europe 1,848 No
- Western Asia 1,524 No
- Net Food Importing Developing Countries 1,417 No
- Northern Europe 667 No
- Southern Asia 527 No
- Low Income Food Deficit Countries 514 No
- Africa 280 No
- Northern Africa 215 No
- Eastern Asia 116 No
- United States of America 100 No
- South America 56 No
- South-Eastern Asia 54 No
- Southern Africa 51 No
- Central America 30 No
- Eastern Africa 14 No
- Oceania 10 No
- Small Island Developing States 2 No
- Least developed countries 2 No
About this data
Important notice: FAOSTAT database on Agriculture Machinery is no longer active. The latest online version of the database has as reference year 2009 (with data collected in year 2011). FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.