Climatch

Land with a climate like Riacho Fundo II

🇧🇷Riacho Fundo II, Federal District, Brazil

The towns with the closest growing climate to Riacho Fundo II are Cristalina, Brazil (99% match), Cocalzinho de Goiás and Coromandel. About 462,000 sq mi of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Riacho Fundo II are Cristalina, Brazil (99% match), Cocalzinho de Goiás and Coromandel. About 1.2 million km² of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,453 mm rain

What grows in Riacho Fundo II →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    103k sq mi268k km² matching 80% or better

    For example Coromandel (99), Presidente Olegário (98)

  2. 2

    🇧🇷Goiás, Brazil

    78k sq mi203k km² matching 80% or better

    For example Cristalina (99), Cocalzinho de Goiás (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    29k sq mi74k km² matching 80% or better

    For example Campo Verde (89), Alto Araguaia (89)

  4. 4

    🇦🇴Luanda Norte, Angola

    18k sq mi47k km² matching 80% or better

    For example Cuilo (87), Lubalo (86)

  5. 5

    🇦🇴Malanje, Angola

    15k sq mi38k km² matching 80% or better

    For example Bailundo (88), Cacuso (87)

  6. 6

    🇦🇴Kwanza Sul, Angola

    14k sq mi36k km² matching 80% or better

    For example Quibala (86), Quissecula (84)

  7. 7

    🇹🇿Kigoma, Tanzania

    12k sq mi32k km² matching 80% or better

    For example Kasulu (93), Kibondo (92)

  8. 8

    🇨🇩Tanganyika, Democratic Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Nyunzu (79), Kalima (79)

  9. 9

    🇪🇹Oromiya, Ethiopia

    11k sq mi29k km² matching 80% or better

    For example Gimbi (83), Mendī (82)

  10. 10

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Kanyama (81), Kamina (80)

  11. 11

    🇨🇩Lualaba, Democratic Republic of the Congo

    4,700 sq mi12k km² matching 80% or better

    For example Tshilenge (75), Kolwezi (74)

  12. 12

    🇹🇿Kagera, Tanzania

    4,500 sq mi12k km² matching 80% or better

    For example Bugarama (84), Rulenge (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

    🇧🇷CristalinaGoiás, Brazil

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

    Shares 21 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷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 21 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷CoromandelMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,591 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷FormosaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,354 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  5. 5

    🇧🇷SilvâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  6. 6

    🇧🇷OrizonaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,504 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  7. 7

    🇧🇷CatalãoGoiás, Brazil

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

    Shares 22 of your 22 great-fit crops

    98%match
  8. 8

    🇧🇷PatrocínioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    97%match
  9. 9

    🇧🇷Monte CarmeloMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,566 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  10. 10

    🇧🇷Patos de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,443 mm rain

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

    96%match
  11. 11

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  12. 12

    🇧🇷AnápolisGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 64 in rainZone 12a · No frost · 0 chill hours · 1,618 mm rain

    Shares 21 of your 22 great-fit crops

    95%match
  13. 13

    🇧🇷Carmo do ParanaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,506 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    94%match
  14. 14

    🇧🇷IpameriGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,473 mm rain

    Shares 22 of your 22 great-fit crops

    94%match
  15. 15

    🇧🇷VazanteMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,424 mm rain

    Shares 21 of your 22 great-fit crops

    94%match
  16. 16

    🇧🇷MorrinhosGoiás, Brazil

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

    Shares 21 of your 22 great-fit crops

    94%match
  17. 17

    🇧🇷PerdizesMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,669 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea

    94%match
  18. 18

    🇧🇷João PinheiroMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,262 mm rain

    Shares 21 of your 22 great-fit crops

    93%match
  19. 19

    🇧🇷UberlândiaMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops

    93%match
  20. 20

    🇹🇿KasuluKigoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,077 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: wine grapes

    93%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 Riacho Fundo II: 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.