Climatch

Where can I grow sugarcane?

Saccharum officinarum · Sugar crop · Perennial

Sugarcane is a great fit (80+) on 21.0 million sq mi of land in 166 countries, 39% of it only with irrigation. The most well-suited land is in Pará, Brazil, Amazonas, Brazil and Bahia, Brazil. Where it can't grow, it's usually too cool overall (85%) and winters get too cold (15%).Sugarcane is a great fit (80+) on 54.4 million km² of land in 166 countries, 39% of it only with irrigation. The most well-suited land is in Pará, Brazil, Amazonas, Brazil and Bahia, Brazil. Where it can't grow, it's usually too cool overall (85%) and winters get too cold (15%).

Great fit (80+)
21.0M sq mi54.4M km²
38% of land
Worth a try (50–79)
2.8M sq mi7.3M km²
5% of land
Great fit without irrigation
13.8M sq mi35.6M km²
Rain alone is enough
Countries
166
With great-fit land

Regions with the most suitable land

  1. 1

    🇧🇷Pará, Brazil

    Great fit on 246k sq mi637k km²

    For example Santarém (100), Parauapebas (100)

  2. 2

    🇧🇷Amazonas, Brazil

    Great fit on 218k sq mi563k km² · worth a try on 300 sq mi800 km²

    For example Manaus (100), Itacoatiara (100)

  3. 3

    🇧🇷Bahia, Brazil

    Great fit on 216k sq mi558k km² · mostly with irrigation

    For example Salvador (100), Camaçari (100)

  4. 4

    🇮🇳Maharashtra, India

    Great fit on 114k sq mi295k km² · worth a try on 3,100 sq mi8,100 km²

    For example Mumbai (100), Nagpur (100)

  5. 5

    🇮🇳Madhya Pradesh, India

    Great fit on 113k sq mi292k km² · worth a try on 9,400 sq mi24k km²

    For example Bhopal (100), Jabalpur (100)

  6. 6

    🇮🇳Gujarat, India

    Great fit on 78k sq mi201k km² · mostly with irrigation

    For example Surat (100), Bilimora (100)

  7. 7

    🇪🇹Oromiya, Ethiopia

    Great fit on 74k sq mi191k km² · worth a try on 17k sq mi45k km² · mostly with irrigation

    For example Gutin (100), Kele (100)

  8. 8

    🇨🇳Guangdong, China

    Great fit on 54k sq mi141k km² · worth a try on 13k sq mi33k km²

    For example Guangzhou (100), Shenzhen (100)

  9. 9

    🇦🇺Queensland, Australia

    Great fit on 47k sq mi123k km² · worth a try on 9,300 sq mi24k km²

    For example Townsville (100), Cairns (100)

  10. 10

    🇺🇸Florida, United States

    Great fit on 45k sq mi116k km² · worth a try on 8,000 sq mi21k km²

    For example Miami (100), Tampa (100)

  11. 11

    🇸🇦Riyadh Region, Saudi Arabia

    Great fit on 41k sq mi107k km² · worth a try on 14k sq mi37k km² · mostly with irrigation

    For example Al Kharj (100), Ad Dilam (100)

  12. 12

    🇪🇹Somali, Ethiopia

    Great fit on 41k sq mi106k km² · worth a try on 1,200 sq mi3,100 km² · mostly with irrigation

    For example Warder (100), Ārabī (100)

  13. 13

    🇲🇿Nampula, Mozambique

    Great fit on 39k sq mi100k km²

    For example Ribáuè (100), Iapala (100)

  14. 14

    🇨🇩Tanganyika, Democratic Republic of the Congo

    Great fit on 39k sq mi100k km² · worth a try on 600 sq mi1,500 km²

    For example Kongolo (100), Nyunzu (100)

  15. 15

    🇲🇲Shan State, Myanmar

    Great fit on 38k sq mi99k km² · worth a try on 6,600 sq mi17k km²

    For example Yawnghwe (100), Kēng Tung (100)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

By country

  • 🇧🇷Brazil2.1M sq mi5.6M km² · 92% of its land
  • 🇮🇳India974k sq mi2.5M km² · 79% of its land
  • 🇮🇩Indonesia556k sq mi1.4M km² · 92% of its land
  • 🇨🇩Democratic Republic of the Congo421k sq mi1.1M km² · 97% of its land
  • 🇳🇬Nigeria344k sq mi891k km² · 100% of its land
  • 🇲🇽Mexico335k sq mi867k km² · 54% of its land
  • 🇹🇿Tanzania310k sq mi804k km² · 94% of its land
  • 🇦🇴Angola268k sq mi695k km² · 94% of its land
  • 🇸🇩Sudan255k sq mi661k km² · 100% of its land
  • 🇪🇹Ethiopia243k sq mi629k km² · 75% of its land

Best-suited towns

  1. 100%Ideal

    Akure

    🇳🇬 Ondo State, Nigeria

  2. 100%Ideal

    Brazzaville

    🇨🇬 Republic of the Congo

  3. 100%Ideal

    Mbandaka

    🇨🇩 Équateur, Democratic Republic of the Congo

  4. 100%Ideal

    Kisangani

    🇨🇩 Tshopo, Democratic Republic of the Congo

  5. 100%Ideal

    Kinshasa

    🇨🇩 Democratic Republic of the Congo

  6. 100%Ideal

    Sanya

    🇨🇳 Hainan, China

  7. 100%Ideal

    Veracruz

    🇲🇽 Mexico

  8. 100%Ideal

    Ondo

    🇳🇬 Ondo State, Nigeria

  9. 100%Ideal

    Aracaju

    🇧🇷 Sergipe, Brazil

  10. 100%Ideal

    Palmas

    🇧🇷 Tocantins, Brazil

  11. 100%Ideal

    Zanzibar

    🇹🇿 Zanzibar Urban/West, Tanzania

  12. 100%Ideal

    Masina

    🇨🇩 Kinshasa, Democratic Republic of the Congo

The most comfortable fits among the 2,000 biggest towns, two per region. Scores assume irrigation where rain falls short; Needs irrigation marks towns that need it.

What sugarcane needs

Average temperature
Ideal 72–86°FIdeal 22–30°CWon't grow below 63°F or above 95°FWon't grow below 17°C or above 35°C
Coldest night of the year (average)
Ideal at least 36°FIdeal at least 2°CWon't grow below 27°FWon't grow below -3°C
Frost-free days
Ideal at least 300 daysWon't grow below 240 days
Yearly rain
Ideal 43–98 inIdeal 1,100–2,500 mmWon't grow below 24 in or above 157 inWon't grow below 600 mm or above 4,000 mm

A cooler, drier spell before harvest raises sugar content. Often irrigated.

Sources: FAO ECOCROP: Saccharum officinarum; FAO Crop Water Information: sugarcane.

What stops it elsewhere

  • Too cool overall85%
  • Winters get too cold15%

Share of the land scoring under 50, by what holds it back most.

How this map works

Every 28 km square of land is scored 0–100 against the requirements above, using 1991–2020 monthly climate averages with frost, chill and heat estimated by simulating daily weather. Each square is scored with whichever variety fits it best. “Irrigated” ignores rain shortfalls; “Rainfed” counts them. The map blends neighboring squares; tap anywhere to see everything that grows there.

Climate is only part of it: soil, slope, water and markets decide where a crop is actually farmed. Use this to shortlist places, then check them locally.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.