Climatch

Land with a climate like Rémire-Montjoly

🇬🇫Rémire-Montjoly, Guyane, French Guiana

The towns with the closest growing climate to Rémire-Montjoly are Saint-Laurent-du-Maroni, French Guiana (99% match), Oiapoque and Paramaribo. About 359,000 sq mi of land in 9 countries matches 80% or better, most of it in Amapá, Brazil, North Maluku, Indonesia and Guyane, French Guiana.The towns with the closest growing climate to Rémire-Montjoly are Saint-Laurent-du-Maroni, French Guiana (99% match), Oiapoque and Paramaribo. About 930,000 km² of land in 9 countries matches 80% or better, most of it in Amapá, Brazil, North Maluku, Indonesia and Guyane, French Guiana.

Your growing climate

Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,537 mm rain

What grows in Rémire-Montjoly →

Regions with the most land like yours

  1. 1

    🇧🇷Amapá, Brazil

    23k sq mi59k km² matching 80% or better

    For example Oiapoque (99), Pedra Branca do Amapari (93)

  2. 2

    🇮🇩North Maluku, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Daruba (93), Tobelo (91)

  3. 3

    🇬🇫Guyane, French Guiana

    12k sq mi32k km² matching 80% or better

    For example Saint-Laurent-du-Maroni (99)

  4. 4

    🇲🇾Sabah, Malaysia

    12k sq mi32k km² matching 80% or better

    For example Semporna (82), Lahad Datu (82)

  5. 5

    🇮🇩North Sulawesi, Indonesia

    9,900 sq mi26k km² matching 80% or better

    For example Kotamobagu (89), Bitung (86)

  6. 6

    🇬🇾Upper Demerara-Berbice, Guyana

    5,700 sq mi15k km² matching 80% or better

    For example Linden (92)

  7. 7

    🇮🇩Central Sulawesi, Indonesia

    4,500 sq mi12k km² matching 80% or better

    For example Toli-Toli (85), Palu (66)

  8. 8

    🇬🇾East Berbice-Corentyne, Guyana

    4,200 sq mi11k km² matching 80% or better

    For example New Amsterdam (90)

  9. 9

    🇸🇷Wanica District, Suriname

    3,900 sq mi10k km² matching 80% or better

    For example Lelydorp (96)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    3,300 sq mi8,500 km² matching 80% or better

    For example Sitangkai (82), Bongao (80)

  11. 11

    🇬🇾Demerara-Mahaica, Guyana

    3,300 sq mi8,500 km² matching 80% or better

    For example Georgetown (86)

  12. 12

    🇰🇮Gilbert Islands, Kiribati

    3,000 sq mi7,700 km² matching 80% or better

    For example Tarawa (84)

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

    🇬🇫Saint-Laurent-du-MaroniGuyane, French Guiana

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

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷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

    99%match
  3. 3

    🇸🇷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

    95%match
  4. 4

    🇮🇩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

    93%match
  5. 5

    🇧🇷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
  6. 6

    🇬🇾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

    92%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

    91%match
  8. 8

    🇬🇾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

    90%match
  9. 9

    🇧🇷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

    89%match
  10. 10

    🇮🇩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

    89%match
  11. 11

    🇧🇷TartarugalzinhoAmapá, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,481 mm rain

    Shares 17 of your 18 great-fit crops

    88%match
  12. 12

    🇧🇷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
  13. 13

    🇮🇩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

    87%match
  14. 14

    🇬🇾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

    86%match
  15. 15

    🇮🇩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

    85%match
  16. 16

    🇮🇩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

    85%match
  17. 17

    🇮🇩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

    84%match
  18. 18

    🇰🇮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

    84%match
  19. 19

    🇮🇩ManadoNorth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,205 mm rain

    Shares 14 of your 18 great-fit crops

    84%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

    82%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 Rémire-Montjoly: 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.