Climatch

Land with a climate like Domingos Martins

🇧🇷Domingos Martins, Espírito Santo, Brazil

The towns with the closest growing climate to Domingos Martins are Lajinha, Brazil (96% match), Barra do Piraí and Iúna. About 272,000 sq mi of land in 13 countries matches 80% or better, most of it in São Paulo, Brazil, Paraná, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Domingos Martins are Lajinha, Brazil (96% match), Barra do Piraí and Iúna. About 705,000 km² of land in 13 countries matches 80% or better, most of it in São Paulo, Brazil, Paraná, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,195 mm rain

What grows in Domingos Martins →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    46k sq mi120k km² matching 80% or better

    For example Jacareí (94), São José dos Campos (93)

  2. 2

    🇧🇷Paraná, Brazil

    43k sq mi111k km² matching 80% or better

    For example Nova Esperança (92), Paranavaí (92)

  3. 3

    🇧🇷Minas Gerais, Brazil

    31k sq mi81k km² matching 80% or better

    For example Lajinha (96), Manhumirim (90)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    8,900 sq mi23k km² matching 80% or better

    For example eSikhaleni (92), Shakaskraal (92)

  5. 5

    🇵🇪San Martín Department, Peru

    3,900 sq mi10k km² matching 80% or better

    For example Rioja (75), Moyobamba (74)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

    2,500 sq mi6,600 km² matching 80% or better

    For example Moramanga (80), Didy (75)

  7. 7

    🇲🇽Veracruz, Mexico

    2,000 sq mi5,100 km² matching 80% or better

    For example Coatepec (85), Xalapa de Enríquez (82)

  8. 8

    🇨🇩North Kivu, Democratic Republic of the Congo

    1,800 sq mi4,600 km² matching 80% or better

    For example Kirumba (79), Goma (78)

  9. 9

    🇹🇿Tanga, Tanzania

    1,800 sq mi4,600 km² matching 80% or better

    For example Maramba (89), Handeni (83)

  10. 10

    🇲🇬Atsinanana, Madagascar

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

    For example Vohibinany (73), Marolambo (72)

  11. 11

    🇵🇪Amazonas, Peru

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

    For example La Peca (79), Bagua Grande (60)

  12. 12

    🇨🇳Yunnan, China

    1,100 sq mi2,900 km² matching 80% or better

    For example Hekou (65), Mengzi (62)

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

    🇧🇷LajinhaMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 45 in rainZone 11a · No frost · 4 chill hours · 1,154 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: mango

    96%match
  2. 2

    🇧🇷Barra do PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 1 chill hours · 53 in rainZone 11a · No frost · 1 chill hours · 1,353 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango, tea

    96%match
  3. 3

    🇧🇷IúnaEspírito Santo, Brazil

    Zone 11a · No frost · 10 chill hours · 45 in rainZone 11a · No frost · 10 chill hours · 1,155 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    94%match
  4. 4

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: tea, mango

    94%match
  5. 5

    🇧🇷Cachoeiras de MacacuRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,211 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    94%match
  6. 6

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 23 of your 23 great-fit crops

    93%match
  7. 7

    🇧🇷GuaçuíEspírito Santo, Brazil

    Zone 11a · No frost · 14 chill hours · 46 in rainZone 11a · No frost · 14 chill hours · 1,179 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    93%match
  8. 8

    🇧🇷PancasEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: mango

    93%match
  9. 9

    🇧🇷Três RiosRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,417 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango, tea

    93%match
  10. 10

    🇧🇷IguaíBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 937 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: mango, table and raisin grapes

    93%match
  11. 11

    🇧🇷Barra do ChoçaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 709 mm rain

    Shares 17 of your 23 great-fit crops · Also great there: table and raisin grapes

    92%match
  12. 12

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  13. 13

    🇧🇷Mimoso do SulEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,025 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: mango

    92%match
  14. 14

    🇧🇷JaguaquaraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 937 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: table and raisin grapes

    92%match
  15. 15

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  16. 16

    🇧🇷São PauloBrazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: tea

    92%match
  17. 17

    🇧🇷Bom JardimRio de Janeiro, Brazil

    Zone 10b · No frost · 19 chill hours · 50 in rainZone 10b · No frost · 19 chill hours · 1,277 mm rain

    Shares 21 of your 23 great-fit crops

    91%match
  18. 18

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  19. 19

    🇿🇦DurbanKwaZulu-Natal, South Africa

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 951 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: table and raisin grapes

    91%match
  20. 20

    🇧🇷Casimiro de AbreuRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,177 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: mango

    91%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 Domingos Martins: 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.