Climatch

Land with a climate like Governador Nunes Freire

🇧🇷Governador Nunes Freire, Maranhão, Brazil

The towns with the closest growing climate to Governador Nunes Freire are Cachoeira do Piriá, Brazil (99% match), Capitão Poço and São Miguel do Guamá. About 434,000 sq mi of land in 7 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Governador Nunes Freire are Cachoeira do Piriá, Brazil (99% match), Capitão Poço and São Miguel do Guamá. About 1.1 million km² of land in 7 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Maranhão, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,342 mm rain

What grows in Governador Nunes Freire →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    139k sq mi361k km² matching 80% or better

    For example Cachoeira do Piriá (99), Capitão Poço (99)

  2. 2

    🇧🇷Amazonas, Brazil

    63k sq mi162k km² matching 80% or better

    For example Parintins (93), Urucurituba (92)

  3. 3

    🇧🇷Maranhão, Brazil

    24k sq mi63k km² matching 80% or better

    For example Presidente Sarney (99), Cândido Mendes (99)

  4. 4

    🇵🇭Central Visayas, Philippines

    11k sq mi27k km² matching 80% or better

    For example Compostela (84), Danao (84)

  5. 5

    🇮🇩Central Sulawesi, Indonesia

    9,600 sq mi25k km² matching 80% or better

    For example Luwuk (86), Bungku (84)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    9,500 sq mi25k km² matching 80% or better

    For example Kendari (84), Raha (80)

  7. 7

    🇵🇭Mimaropa, Philippines

    8,500 sq mi22k km² matching 80% or better

    For example Jose Rizal (82), Narra (81)

  8. 8

    🇵🇭Calabarzon, Philippines

    7,300 sq mi19k km² matching 80% or better

    For example Concepcion Ibaba (85), Candelaria (85)

  9. 9

    🇮🇩North Maluku, Indonesia

    4,200 sq mi11k km² matching 80% or better

    For example Sanana (82), Kawasi (81)

  10. 10

    🇲🇽Tabasco, Mexico

    1,700 sq mi4,400 km² matching 80% or better

    For example Paraiso (82), Comalcalco (82)

  11. 11

    🇹🇭Narathiwat, Thailand

    1,200 sq mi3,100 km² matching 80% or better

    For example Su-ngai Kolok (80), Ra-ngae (80)

  12. 12

    🇹🇭Phatthalung, Thailand

    900 sq mi2,300 km² matching 80% or better

    For example Phatthalung (78)

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

    🇧🇷Cachoeira do PiriáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,159 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷Capitão PoçoPará, Brazil

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,174 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷São Miguel do GuamáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,173 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷Presidente SarneyMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,148 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇷CapanemaPará, Brazil

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,385 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇷Nova Esperança do PiriáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,038 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  7. 7

    🇧🇷CastanhalPará, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,506 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  8. 8

    🇧🇷Cândido MendesMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,667 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  9. 9

    🇧🇷SantanaAmapá, Brazil

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,501 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  10. 10

    🇧🇷AlmeirimPará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,991 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  11. 11

    🇧🇷Cachoeira do ArariPará, Brazil

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,563 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  12. 12

    🇧🇷Laranjal do JariAmapá, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,421 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  13. 13

    🇧🇷Porto de MozPará, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,412 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  14. 14

    🇧🇷Pedro do RosárioMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,912 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  15. 15

    🇧🇷VigiaPará, Brazil

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,863 mm rain

    Shares 15 of your 19 great-fit crops

    98%match
  16. 16

    🇧🇷AnajásPará, Brazil

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,563 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  17. 17

    🇧🇷AfuáPará, Brazil

    Zone 13b · No frost · 0 chill hours · 94 in rainZone 13b · No frost · 0 chill hours · 2,389 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  18. 18

    🇧🇷ChavesPará, Brazil

    Zone 13b · No frost · 0 chill hours · 102 in rainZone 13b · No frost · 0 chill hours · 2,603 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  19. 19

    🇧🇷GurupáPará, Brazil

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,370 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  20. 20

    🇧🇷Mãe do RioPará, Brazil

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,096 mm rain

    Shares 19 of your 19 great-fit crops

    98%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 Governador Nunes Freire: 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.