Climatch

Land with a climate like Saint-Laurent-du-Maroni

🇬🇫Saint-Laurent-du-Maroni, Guyane, French Guiana

The towns with the closest growing climate to Saint-Laurent-du-Maroni are Kourou, French Guiana (99% match), Paramaribo and Cayenne. About 494,000 sq mi of land in 13 countries matches 80% or better, most of it in Amapá, Brazil, Sabah, Malaysia and North Maluku, Indonesia.The towns with the closest growing climate to Saint-Laurent-du-Maroni are Kourou, French Guiana (99% match), Paramaribo and Cayenne. About 1.3 million km² of land in 13 countries matches 80% or better, most of it in Amapá, Brazil, Sabah, Malaysia and North Maluku, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,214 mm rain

What grows in Saint-Laurent-du-Maroni →

Regions with the most land like yours

  1. 1

    🇧🇷Amapá, Brazil

    22k sq mi57k km² matching 80% or better

    For example Oiapoque (97), Pedra Branca do Amapari (93)

  2. 2

    🇲🇾Sabah, Malaysia

    22k sq mi57k km² matching 80% or better

    For example Semporna (88), Lahad Datu (86)

  3. 3

    🇮🇩North Maluku, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Tobelo (94), Daruba (94)

  4. 4

    🇬🇫Guyane, French Guiana

    12k sq mi32k km² matching 80% or better

    For example Rémire-Montjoly (99), Kourou (99)

  5. 5

    🇮🇩North Sulawesi, Indonesia

    9,600 sq mi25k km² matching 80% or better

    For example Kotamobagu (92), Tahuna (87)

  6. 6

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    8,600 sq mi22k km² matching 80% or better

    For example Sitangkai (87), Bongao (86)

  7. 7

    🇮🇩North Kalimantan, Indonesia

    8,400 sq mi22k km² matching 80% or better

    For example Nunukan (83), Tanjung Selor (78)

  8. 8

    🇻🇪Bolívar, Venezuela

    5,900 sq mi15k km² matching 80% or better

    For example El Dorado (77), Tumeremo (75)

  9. 9

    🇧🇷Roraima, Brazil

    5,700 sq mi15k km² matching 80% or better

    For example Rorainópolis (80), Alto Alegre (76)

  10. 10

    🇬🇾Upper Demerara-Berbice, Guyana

    5,700 sq mi15k km² matching 80% or better

    For example Linden (98)

  11. 11

    🇬🇾East Berbice-Corentyne, Guyana

    4,200 sq mi11k km² matching 80% or better

    For example New Amsterdam (97)

  12. 12

    🇸🇷Wanica District, Suriname

    3,900 sq mi10k km² matching 80% or better

    For example Lelydorp (99)

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

Closest towns

  1. 1

    🇬🇫KourouGuyane, French Guiana

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,509 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: strawberry

    99%match
  2. 2

    🇸🇷ParamariboParamaribo District, Suriname

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,054 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇬🇫CayenneGuyane, French Guiana

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,747 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  4. 4

    🇬🇾LindenUpper Demerara-Berbice, Guyana

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,443 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: strawberry

    98%match
  5. 5

    🇧🇷OiapoqueAmapá, Brazil

    Zone 13a · No frost · 0 chill hours · 127 in rainZone 13a · No frost · 0 chill hours · 3,237 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  6. 6

    🇬🇾New AmsterdamEast Berbice-Corentyne, Guyana

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,890 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  7. 7

    🇮🇩TobeloNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,084 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  8. 8

    🇮🇩DarubaNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,055 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  9. 9

    🇬🇾GeorgetownDemerara-Mahaica, Guyana

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,956 mm rain

    Shares 18 of your 18 great-fit crops

    93%match
  10. 10

    🇧🇷Pedra Branca do AmapariAmapá, Brazil

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,354 mm rain

    Shares 18 of your 18 great-fit crops

    93%match
  11. 11

    🇮🇩Toli-ToliCentral Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,095 mm rain

    Shares 18 of your 18 great-fit crops

    92%match
  12. 12

    🇮🇩TernateNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,252 mm rain

    Shares 18 of your 18 great-fit crops

    92%match
  13. 13

    🇮🇩KotamobaguNorth Sulawesi, Indonesia

    Zone 13a · No frost · 0 chill hours · 87 in rainZone 13a · No frost · 0 chill hours · 2,203 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: strawberry

    92%match
  14. 14

    🇮🇩GorontaloIndonesia

    Zone 13b · No frost · 0 chill hours · 58 in rainZone 13b · No frost · 0 chill hours · 1,465 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: fig

    91%match
  15. 15

    🇲🇾SempornaSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,946 mm rain

    Shares 18 of your 18 great-fit crops

    88%match
  16. 16

    🇰🇮TarawaGilbert Islands, Kiribati

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,950 mm rain

    Shares 18 of your 18 great-fit crops

    88%match
  17. 17

    🇧🇷Porto GrandeAmapá, Brazil

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,310 mm rain

    Shares 17 of your 18 great-fit crops

    88%match
  18. 18

    🇧🇷MacapáAmapá, Brazil

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,546 mm rain

    Shares 16 of your 18 great-fit crops

    87%match
  19. 19

    🇮🇩TahunaNorth Sulawesi, Indonesia

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,693 mm rain

    Shares 17 of your 18 great-fit crops

    87%match
  20. 20

    🇵🇭SitangkaiAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,654 mm rain

    Shares 18 of your 18 great-fit crops

    87%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Saint-Laurent-du-Maroni: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

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.