Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$), per unit of GDP by country
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Countries reporting
131
Highest
0.0001 1000 Int$ per US$ of GDP
Eswatini
Lowest
0 1000 Int$ per US$ of GDP
Singapore
Median
0 1000 Int$ per US$ of GDP
Years covered
64
1961–2024
Data points
6,651
What the numbers show
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$), per unit of GDP is currently reported for 131 countries. The highest value is 0.0001 1000 Int$ per US$ of GDP in Eswatini; the lowest is 0 1000 Int$ per US$ of GDP in Singapore.
The median across all reporting countries is 0 1000 Int$ per US$ of GDP, and the mean is 0 1000 Int$ per US$ of GDP.
Over the past decade 21 countries rose and 109 fell. The largest increase was in Kazakhstan (up 3,936.2%), and the largest decrease in Greece (down 99.7%).
Sugar Crops Primary — Gross Production Value (constant 2014-2016): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Eswatini | 0.0001 1000 Int$ per US$ of GDP | 2024 | down 10.3% | volatile |
| 2 | Belize | 0 1000 Int$ per US$ of GDP | 2024 | down 8.2% | volatile |
| 3 | Nicaragua | 0 1000 Int$ per US$ of GDP | 2023 | down 36.1% | volatile |
| 4 | Brazil | 0 1000 Int$ per US$ of GDP | 2024 | up 16.0% | volatile |
| 5 | Malawi | 0 1000 Int$ per US$ of GDP | 2024 | down 29.3% | falling |
| 6 | Pakistan | 0 1000 Int$ per US$ of GDP | 2024 | down 2.1% | volatile |
| 7 | Fiji | 0 1000 Int$ per US$ of GDP | 2024 | down 40.8% | volatile |
| 8 | El Salvador | 0 1000 Int$ per US$ of GDP | 2024 | down 30.2% | volatile |
| 9 | Guatemala | 0 1000 Int$ per US$ of GDP | 2024 | down 64.8% | falling |
| 10 | Zambia | 0 1000 Int$ per US$ of GDP | 2024 | up 14.1% | falling |
| 11 | Saint Kitts and Nevis | 0 1000 Int$ per US$ of GDP | 2005 | down 68.7% | volatile |
| 12 | Madagascar | 0 1000 Int$ per US$ of GDP | 2024 | down 23.7% | volatile |
| 13 | Myanmar | 0 1000 Int$ per US$ of GDP | 2024 | down 4.7% | volatile |
| 14 | Zimbabwe | 0 1000 Int$ per US$ of GDP | 2024 | down 19.4% | volatile |
| 15 | Thailand | 0 1000 Int$ per US$ of GDP | 2024 | down 38.8% | volatile |
| 16 | Honduras | 0 1000 Int$ per US$ of GDP | 2024 | down 43.0% | volatile |
| 17 | Paraguay | 0 1000 Int$ per US$ of GDP | 2024 | down 2.8% | volatile |
| 18 | Mauritius | 0 1000 Int$ per US$ of GDP | 2024 | down 51.9% | volatile |
| 19 | Cuba | 0 1000 Int$ per US$ of GDP | 2020 | down 33.7% | volatile |
| 20 | India | 0 1000 Int$ per US$ of GDP | 2024 | down 30.2% | volatile |
| 21 | Uganda | 0 1000 Int$ per US$ of GDP | 2024 | down 20.6% | volatile |
| 22 | Saint Vincent and the Grenadines | 0 1000 Int$ per US$ of GDP | 1990 | down 26.9% | volatile |
| 23 | Sudan | 0 1000 Int$ per US$ of GDP | 2024 | down 27.6% | falling |
| 24 | Mozambique | 0 1000 Int$ per US$ of GDP | 2024 | down 61.0% | rising |
| 25 | Kenya | 0 1000 Int$ per US$ of GDP | 2024 | down 17.1% | volatile |
| 26 | Colombia | 0 1000 Int$ per US$ of GDP | 2024 | down 24.3% | volatile |
| 27 | Egypt | 0 1000 Int$ per US$ of GDP | 2024 | down 20.8% | volatile |
| 28 | Ukraine | 0 1000 Int$ per US$ of GDP | 2024 | down 43.1% | volatile |
| 29 | Belarus | 0 1000 Int$ per US$ of GDP | 2024 | up 3.4% | falling |
| 30 | Nepal | 0 1000 Int$ per US$ of GDP | 2024 | down 51.7% | falling |
| 31 | Haiti | 0 1000 Int$ per US$ of GDP | 2024 | down 36.9% | volatile |
| 32 | Liberia | 0 1000 Int$ per US$ of GDP | 2024 | down 29.0% | volatile |
| 33 | Kyrgyzstan | 0 1000 Int$ per US$ of GDP | 2024 | up 126.8% | volatile |
| 34 | Ecuador | 0 1000 Int$ per US$ of GDP | 2024 | down 35.8% | volatile |
| 35 | Burundi | 0 1000 Int$ per US$ of GDP | 2024 | down 39.9% | volatile |
| 36 | Central African Republic | 0 1000 Int$ per US$ of GDP | 2024 | down 30.3% | falling |
| 37 | Congo | 0 1000 Int$ per US$ of GDP | 2024 | up 23.0% | volatile |
| 38 | Costa Rica | 0 1000 Int$ per US$ of GDP | 2024 | down 50.4% | volatile |
| 39 | South Africa | 0 1000 Int$ per US$ of GDP | 2024 | down 10.4% | volatile |
| 40 | Peru | 0 1000 Int$ per US$ of GDP | 2024 | down 39.9% | volatile |
| 41 | Senegal | 0 1000 Int$ per US$ of GDP | 2024 | down 18.9% | volatile |
| 42 | Philippines | 0 1000 Int$ per US$ of GDP | 2024 | down 51.9% | volatile |
| 43 | Dominican Republic | 0 1000 Int$ per US$ of GDP | 2024 | down 47.0% | volatile |
| 44 | Trinidad and Tobago | 0 1000 Int$ per US$ of GDP | 2007 | down 84.9% | volatile |
| 45 | Mexico | 0 1000 Int$ per US$ of GDP | 2024 | down 30.2% | volatile |
| 46 | Niger | 0 1000 Int$ per US$ of GDP | 2024 | up 15.7% | volatile |
| 47 | Indonesia | 0 1000 Int$ per US$ of GDP | 2024 | down 24.8% | volatile |
| 48 | Serbia | 0 1000 Int$ per US$ of GDP | 2024 | down 70.1% | falling |
| 49 | Burkina Faso | 0 1000 Int$ per US$ of GDP | 2024 | down 34.9% | volatile |
| 50 | Mali | 0 1000 Int$ per US$ of GDP | 2024 | up 5.4% | volatile |
| 51 | Panama | 0 1000 Int$ per US$ of GDP | 2024 | down 55.7% | volatile |
| 52 | Poland | 0 1000 Int$ per US$ of GDP | 2024 | down 19.3% | volatile |
| 53 | Suriname | 0 1000 Int$ per US$ of GDP | 2024 | down 9.9% | volatile |
| 54 | Jamaica | 0 1000 Int$ per US$ of GDP | 2024 | down 84.8% | volatile |
| 55 | Argentina | 0 1000 Int$ per US$ of GDP | 2024 | down 52.0% | volatile |
| 56 | Somalia | 0 1000 Int$ per US$ of GDP | 2024 | down 55.2% | volatile |
| 57 | Australia | 0 1000 Int$ per US$ of GDP | 2024 | down 17.8% | volatile |
| 58 | Cameroon | 0 1000 Int$ per US$ of GDP | 2024 | down 50.0% | volatile |
| 59 | Chad | 0 1000 Int$ per US$ of GDP | 2024 | down 2.7% | volatile |
| 60 | Cambodia | 0 1000 Int$ per US$ of GDP | 2024 | down 80.1% | volatile |
| 61 | Czechia | 0 1000 Int$ per US$ of GDP | 2024 | down 37.0% | volatile |
| 62 | Lithuania | 0 1000 Int$ per US$ of GDP | 2024 | down 37.6% | volatile |
| 63 | Gabon | 0 1000 Int$ per US$ of GDP | 2024 | down 15.5% | falling |
| 64 | Guyana | 0 1000 Int$ per US$ of GDP | 2024 | down 98.1% | volatile |
| 65 | Guinea | 0 1000 Int$ per US$ of GDP | 2024 | down 62.3% | falling |
| 66 | Angola | 0 1000 Int$ per US$ of GDP | 2024 | up 291.7% | volatile |
| 67 | Sierra Leone | 0 1000 Int$ per US$ of GDP | 2024 | up 17.8% | volatile |
| 68 | France | 0 1000 Int$ per US$ of GDP | 2024 | down 22.0% | volatile |
| 69 | Slovakia | 0 1000 Int$ per US$ of GDP | 2024 | down 35.3% | volatile |
| 70 | Rwanda | 0 1000 Int$ per US$ of GDP | 2024 | down 16.8% | falling |
| 71 | Papua New Guinea | 0 1000 Int$ per US$ of GDP | 2024 | down 34.1% | volatile |
| 72 | Morocco | 0 1000 Int$ per US$ of GDP | 2024 | down 68.0% | volatile |
| 73 | Latvia | 0 1000 Int$ per US$ of GDP | 2007 | down 85.1% | falling |
| 74 | Barbados | 0 1000 Int$ per US$ of GDP | 2024 | down 69.6% | volatile |
| 75 | Germany | 0 1000 Int$ per US$ of GDP | 2024 | up 4.3% | volatile |
| 76 | Dominica | 0 1000 Int$ per US$ of GDP | 2024 | down 15.4% | volatile |
| 77 | Sri Lanka | 0 1000 Int$ per US$ of GDP | 2024 | down 39.9% | volatile |
| 78 | Bangladesh | 0 1000 Int$ per US$ of GDP | 2024 | down 74.9% | volatile |
| 79 | Belgium | 0 1000 Int$ per US$ of GDP | 2024 | down 26.2% | falling |
| 80 | Austria | 0 1000 Int$ per US$ of GDP | 2024 | down 33.6% | volatile |
| 81 | Ethiopia | 0 1000 Int$ per US$ of GDP | 2024 | down 76.2% | volatile |
| 82 | Uruguay | 0 1000 Int$ per US$ of GDP | 2024 | down 16.1% | volatile |
| 83 | Turkmenistan | 0 1000 Int$ per US$ of GDP | 2024 | up 42.9% | volatile |
| 84 | Denmark | 0 1000 Int$ per US$ of GDP | 2024 | down 19.5% | volatile |
| 85 | China | 0 1000 Int$ per US$ of GDP | 2024 | down 51.0% | volatile |
| 86 | Nigeria | 0 1000 Int$ per US$ of GDP | 2024 | up 143.0% | volatile |
| 87 | Croatia | 0 1000 Int$ per US$ of GDP | 2024 | down 78.3% | volatile |
| 88 | Kazakhstan | 0 1000 Int$ per US$ of GDP | 2024 | up 3,936.2% | volatile |
| 89 | Hungary | 0 1000 Int$ per US$ of GDP | 2024 | down 49.2% | volatile |
| 90 | Bahamas | 0 1000 Int$ per US$ of GDP | 2024 | down 24.5% | volatile |
| 91 | Grenada | 0 1000 Int$ per US$ of GDP | 2024 | down 51.4% | volatile |
| 92 | Israel | 0 1000 Int$ per US$ of GDP | 1981 | down 90.0% | volatile |
| 93 | Benin | 0 1000 Int$ per US$ of GDP | 2024 | down 33.6% | volatile |
| 94 | Sweden | 0 1000 Int$ per US$ of GDP | 2024 | down 1.6% | volatile |
| 95 | Afghanistan | 0 1000 Int$ per US$ of GDP | 2024 | down 20.4% | volatile |
| 96 | Guinea-Bissau | 0 1000 Int$ per US$ of GDP | 2024 | down 43.7% | volatile |
| 97 | Azerbaijan | 0 1000 Int$ per US$ of GDP | 2024 | up 31.1% | volatile |
| 98 | Chile | 0 1000 Int$ per US$ of GDP | 2024 | down 61.3% | volatile |
| 99 | Romania | 0 1000 Int$ per US$ of GDP | 2024 | down 67.3% | volatile |
| 100 | Finland | 0 1000 Int$ per US$ of GDP | 2024 | down 2.6% | volatile |
| 101 | Armenia | 0 1000 Int$ per US$ of GDP | 2024 | down 53.2% | volatile |
| 102 | Spain | 0 1000 Int$ per US$ of GDP | 2024 | down 24.3% | volatile |
| 103 | Ghana | 0 1000 Int$ per US$ of GDP | 2024 | down 31.0% | volatile |
| 104 | Algeria | 0 1000 Int$ per US$ of GDP | 1986 | down 31.5% | volatile |
| 105 | Tunisia | 0 1000 Int$ per US$ of GDP | 2024 | up 8.5% | volatile |
| 106 | Switzerland | 0 1000 Int$ per US$ of GDP | 2024 | down 54.9% | volatile |
| 107 | Japan | 0 1000 Int$ per US$ of GDP | 2024 | up 16.9% | volatile |
| 108 | Albania | 0 1000 Int$ per US$ of GDP | 2024 | down 76.7% | volatile |
| 109 | Italy | 0 1000 Int$ per US$ of GDP | 2024 | down 63.0% | volatile |
| 110 | Canada | 0 1000 Int$ per US$ of GDP | 2024 | up 98.0% | volatile |
| 111 | French Polynesia | 0 1000 Int$ per US$ of GDP | 2024 | down 0.9% | volatile |
| 112 | Puerto Rico | 0 1000 Int$ per US$ of GDP | 2002 | down 97.4% | volatile |
| 113 | Lebanon | 0 1000 Int$ per US$ of GDP | 2024 | up 230.4% | volatile |
| 114 | Bulgaria | 0 1000 Int$ per US$ of GDP | 2007 | down 91.1% | volatile |
| 115 | North Macedonia | 0 1000 Int$ per US$ of GDP | 2024 | down 39.1% | volatile |
| 116 | Ireland | 0 1000 Int$ per US$ of GDP | 2017 | up 29.2% | volatile |
| 117 | Iraq | 0 1000 Int$ per US$ of GDP | 2024 | down 26.6% | volatile |
| 118 | Slovenia | 0 1000 Int$ per US$ of GDP | 2024 | down 41.4% | volatile |
| 119 | Estonia | 0 1000 Int$ per US$ of GDP | 1997 | — | volatile |
| 120 | Bhutan | 0 1000 Int$ per US$ of GDP | 2024 | down 45.9% | volatile |
| 121 | Portugal | 0 1000 Int$ per US$ of GDP | 2017 | down 93.5% | volatile |
| 122 | Malaysia | 0 1000 Int$ per US$ of GDP | 2024 | up 48.1% | volatile |
| 123 | Georgia | 0 1000 Int$ per US$ of GDP | 2003 | down 98.9% | volatile |
| 124 | Palestine | 0 1000 Int$ per US$ of GDP | 2000 | down 34.1% | falling |
| 125 | Samoa | 0 1000 Int$ per US$ of GDP | 2024 | down 32.2% | volatile |
| 126 | Bosnia and Herzegovina | 0 1000 Int$ per US$ of GDP | 2024 | down 70.8% | volatile |
| 127 | Oman | 0 1000 Int$ per US$ of GDP | 2024 | down 8.8% | volatile |
| 128 | Uzbekistan | 0 1000 Int$ per US$ of GDP | 2024 | up 394.0% | volatile |
| 129 | Djibouti | 0 1000 Int$ per US$ of GDP | 2024 | down 19.8% | volatile |
| 130 | Greece | 0 1000 Int$ per US$ of GDP | 2024 | down 99.7% | volatile |
| 131 | Singapore | 0 1000 Int$ per US$ of GDP | 1990 | down 99.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 0 1000 Int$ per US$ of GDP
How this figure is calculated
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) ÷ GDP (current US$)
Computed from
- Sugar Crops Primary — Gross Production Value Food and Agriculture Organization of the United Nations
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.