Climatch

Land with a climate like Nerópolis

🇧🇷Nerópolis, Goiás, Brazil

The towns with the closest growing climate to Nerópolis are Anicuns, Brazil (99% match), Itaberaí and São Luís de Montes Belos. About 802,000 sq mi of land in 17 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Nerópolis are Anicuns, Brazil (99% match), Itaberaí and São Luís de Montes Belos. About 2.1 million km² of land in 17 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,611 mm rain

What grows in Nerópolis →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    117k sq mi302k km² matching 80% or better

    For example Anicuns (99), Itaberaí (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    110k sq mi286k km² matching 80% or better

    For example Barra do Garças (94), Alto Araguaia (92)

  3. 3

    🇧🇷Minas Gerais, Brazil

    72k sq mi188k km² matching 80% or better

    For example Uberlândia (97), Vazante (97)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    29k sq mi74k km² matching 80% or better

    For example Kalima (90), Nyunzu (89)

  5. 5

    🇦🇴Luanda Norte, Angola

    25k sq mi65k km² matching 80% or better

    For example Lucapa (88), Chitato (87)

  6. 6

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Kanyama (91), Kamina (86)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Luputa (89), Mwene-Ditu (87)

  8. 8

    🇨🇲Adamaoua, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Banyo (84), Ngaoundal (83)

  9. 9

    🇨🇫Nana-Mambéré, Central African Republic

    10k sq mi27k km² matching 80% or better

    For example Baboua (87), Abba (86)

  10. 10

    🇨🇲East, Cameroon

    8,900 sq mi23k km² matching 80% or better

    For example Garoua Boulaï (88), Bélabo (82)

  11. 11

    🇹🇿Kigoma, Tanzania

    8,600 sq mi22k km² matching 80% or better

    For example Mwandiga (88), Kigoma (86)

  12. 12

    🇸🇸Western Equatoria, South Sudan

    6,300 sq mi16k km² matching 80% or better

    For example Yambio (85)

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

    🇧🇷AnicunsGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 64 in rainZone 12a · No frost · 0 chill hours · 1,614 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷ItaberaíGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 64 in rainZone 12a · No frost · 0 chill hours · 1,616 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷São Luís de Montes BelosGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,592 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷PiracanjubaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,534 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  5. 5

    🇧🇷IndiaraGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,567 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  6. 6

    🇧🇷PontalinaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,516 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  7. 7

    🇧🇷IporáGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,561 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  8. 8

    🇧🇷CaiapôniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,554 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  9. 9

    🇧🇷ItapurangaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,574 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  10. 10

    🇧🇷MorrinhosGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,523 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    99%match
  11. 11

    🇧🇷AcreúnaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,554 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  12. 12

    🇧🇷Cocalzinho de GoiásGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,524 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    99%match
  13. 13

    🇧🇷GoiatubaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,538 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    99%match
  14. 14

    🇧🇷Rio VerdeGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,610 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    99%match
  15. 15

    🇧🇷CeresGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,519 mm rain

    Shares 17 of your 20 great-fit crops

    98%match
  16. 16

    🇧🇷Bom Jesus de GoiásGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,516 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  17. 17

    🇧🇷Caldas NovasGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,496 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: fig, potato

    98%match
  18. 18

    🇧🇷Pires do RioGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,483 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, fig

    97%match
  19. 19

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, fig

    97%match
  20. 20

    🇧🇷UberlândiaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,641 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato

    97%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 Nerópolis: 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.