Climatch

Land with a climate like Itapaci

🇧🇷Itapaci, Goiás, Brazil

The towns with the closest growing climate to Itapaci are Itapuranga, Brazil (99% match), Niquelândia and Padre Bernardo. About 1.0 million sq mi of land in 19 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 Itapaci are Itapuranga, Brazil (99% match), Niquelândia and Padre Bernardo. About 2.7 million km² of land in 19 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 · 56 in rainZone 12a · No frost · 0 chill hours · 1,432 mm rain

What grows in Itapaci →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    125k sq mi324k km² matching 80% or better

    For example Itapuranga (99), Niquelândia (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    112k sq mi291k km² matching 80% or better

    For example Barra do Garças (99), Água Boa (97)

  3. 3

    🇧🇷Minas Gerais, Brazil

    75k sq mi195k km² matching 80% or better

    For example Arinos (97), Buritis (97)

  4. 4

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    26k sq mi67k km² matching 80% or better

    For example Mulongo (90), Kamina (89)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    24k sq mi63k km² matching 80% or better

    For example Manono (92), Nyunzu (92)

  6. 6

    🇦🇴Luanda Norte, Angola

    20k sq mi51k km² matching 80% or better

    For example Lucapa (86), Cassanguidi (83)

  7. 7

    🇨🇲Adamaoua, Cameroon

    15k sq mi40k km² matching 80% or better

    For example Tibati (90), Ngaoundal (89)

  8. 8

    🇨🇫Nana-Mambéré, Central African Republic

    10k sq mi26k km² matching 80% or better

    For example Baboua (85), Bouar (84)

  9. 9

    🇦🇴Malanje, Angola

    10k sq mi26k km² matching 80% or better

    For example Cambundi (86), Kunda dya Baze (80)

  10. 10

    🇨🇩Lualaba, Democratic Republic of the Congo

    7,700 sq mi20k km² matching 80% or better

    For example Mwene (84), Malemba (67)

  11. 11

    🇹🇿Kigoma, Tanzania

    6,900 sq mi18k km² matching 80% or better

    For example Mwandiga (91), Kigoma (90)

  12. 12

    🇨🇫Haute-Kotto, Central African Republic

    5,600 sq mi15k km² matching 80% or better

    For example Bria (87)

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

    🇧🇷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 18 great-fit crops

    99%match
  2. 2

    🇧🇷NiquelândiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,417 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇷Padre BernardoGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,372 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%match
  4. 4

    🇧🇷JaraguáGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,572 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%match
  5. 5

    🇧🇷PosseGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷ItaberaíGoiás, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%match
  7. 7

    🇧🇷Barra do GarçasMato Grosso, Brazil

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

    Shares 17 of your 18 great-fit crops

    99%match
  8. 8

    🇧🇷PorangatuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,432 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  9. 9

    🇧🇷MozarlândiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,454 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  10. 10

    🇧🇷MinaçuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,386 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  11. 11

    🇧🇷Campos BelosGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,340 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  12. 12

    🇧🇷JussaraGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 59 in rainZone 12a · No frost · 0 chill hours · 1,508 mm rain

    Shares 15 of your 18 great-fit crops

    98%match
  13. 13

    🇧🇷GoiâniaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 65 in rainZone 12a · No frost · 0 chill hours · 1,648 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    98%match
  14. 14

    🇧🇷São Miguel do AraguaiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,466 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  15. 15

    🇧🇷ArinosMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  16. 16

    🇧🇷InhumasGoiás, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  17. 17

    🇧🇷Palmeiras de GoiásGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,588 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  18. 18

    🇧🇷Água BoaMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,439 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  19. 19

    🇧🇷IporáGoiás, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  20. 20

    🇧🇷BuritisMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed)

    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 Itapaci: 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.