Climatch

Land with a climate like Porto Grande

🇧🇷Porto Grande, Amapá, Brazil

The towns with the closest growing climate to Porto Grande are Tartarugalzinho, Brazil (99% match), Macapá and Oiapoque. About 231,000 sq mi of land in 5 countries matches 80% or better, most of it in Amapá, Brazil, Guyane, French Guiana and Wanica District, Suriname.The towns with the closest growing climate to Porto Grande are Tartarugalzinho, Brazil (99% match), Macapá and Oiapoque. About 597,000 km² of land in 5 countries matches 80% or better, most of it in Amapá, Brazil, Guyane, French Guiana and Wanica District, Suriname.

Your growing climate

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

What grows in Porto Grande →

Regions with the most land like yours

  1. 1

    🇧🇷Amapá, Brazil

    23k sq mi59k km² matching 80% or better

    For example Tartarugalzinho (99), Macapá (99)

  2. 2

    🇬🇫Guyane, French Guiana

    12k sq mi32k km² matching 80% or better

    For example Matoury (89), Rémire-Montjoly (89)

  3. 3

    🇸🇷Wanica District, Suriname

    3,900 sq mi10k km² matching 80% or better

    For example Lelydorp (84)

  4. 4

    🇧🇷Pará, Brazil

    2,700 sq mi7,000 km² matching 80% or better

  5. 5

    🇸🇷Paramaribo District, Suriname

    1,500 sq mi3,900 km² matching 80% or better

    For example Paramaribo (83)

  6. 6

    🇧🇷Roraima, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Rorainópolis (68), Caracaraí (60)

  7. 7

    🇬🇾East Berbice-Corentyne, Guyana

    600 sq mi1,500 km² matching 80% or better

    For example New Amsterdam (75)

  8. 8

    🇮🇩Gorontalo, Indonesia

    300 sq mi800 km² matching 80% or better

    For example Gorontalo (74)

  9. 9

    🇬🇾Upper Demerara-Berbice, Guyana

    300 sq mi800 km² matching 80% or better

    For example Linden (74)

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

    🇧🇷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 17 great-fit crops

    99%match
  2. 2

    🇧🇷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 17 great-fit crops

    99%match
  3. 3

    🇧🇷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 17 great-fit crops

    93%match
  4. 4

    🇬🇫CayenneGuyane, French Guiana

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

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    88%match
  5. 5

    🇬🇫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 17 of your 17 great-fit crops · Also great there: macadamia

    88%match
  6. 6

    🇬🇫KourouGuyane, French Guiana

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    87%match
  7. 7

    🇸🇷ParamariboParamaribo District, Suriname

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    83%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 17 of your 17 great-fit crops · Also great there: macadamia

    78%match
  9. 9

    🇮🇩TobeloNorth Maluku, Indonesia

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    76%match
  10. 10

    🇬🇾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 17 of your 17 great-fit crops · Also great there: macadamia

    75%match
  11. 11

    🇬🇾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 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    74%match
  12. 12

    🇮🇩GorontaloIndonesia

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, fig

    74%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 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    69%match
  14. 14

    🇮🇩TernateNorth Maluku, Indonesia

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    68%match
  15. 15

    🇧🇷RorainópolisRoraima, Brazil

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,044 mm rain

    Shares 17 of your 17 great-fit crops

    68%match
  16. 16

    🇨🇩Boende↻Seasons flipped. Tshuapa, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,675 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    67%match
  17. 17

    🇮🇩BontangEast Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,088 mm rain

    Shares 17 of your 17 great-fit crops

    65%match
  18. 18

    🇮🇩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 17 of your 17 great-fit crops · Also great there: macadamia

    65%match
  19. 19

    🇬🇾GeorgetownDemerara-Mahaica, Guyana

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

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    64%match
  20. 20

    🇵🇭MalitaDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,751 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    63%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 Porto Grande: 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.