Climatch

Land with a climate like Tapurah

🇧🇷Tapurah, Mato Grosso, Brazil

The towns with the closest growing climate to Tapurah are Sorriso, Brazil (99% match), Brasnorte and Juína. About 708,000 sq mi of land in 10 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Goiás, Brazil.The towns with the closest growing climate to Tapurah are Sorriso, Brazil (99% match), Brasnorte and Juína. About 1.8 million km² of land in 10 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Goiás, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 85 in rainZone 12a · No frost · 0 chill hours · 2,160 mm rain

What grows in Tapurah →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    180k sq mi467k km² matching 80% or better

    For example Sorriso (99), Brasnorte (99)

  2. 2

    🇧🇷Rondônia, Brazil

    62k sq mi160k km² matching 80% or better

    For example Rolim de Moura (96), Pimenta Bueno (96)

  3. 3

    🇧🇷Goiás, Brazil

    60k sq mi155k km² matching 80% or better

    For example Aragarças (89), Iporá (88)

  4. 4

    🇨🇲West, Cameroon

    6,200 sq mi16k km² matching 80% or better

    For example Magba (84), Foumbot (84)

  5. 5

    🇨🇩Kwango, Democratic Republic of the Congo

    5,900 sq mi15k km² matching 80% or better

    For example Kasongo-Lunda (84)

  6. 6

    🇬🇳Nzérékoré Region, Guinea

    5,600 sq mi15k km² matching 80% or better

    For example Moussadou (82), Lola (82)

  7. 7

    🇦🇴Malanje, Angola

    4,200 sq mi11k km² matching 80% or better

    For example Cambundi (80), Cacuso (67)

  8. 8

    🇸🇱Eastern Province, Sierra Leone

    3,000 sq mi7,700 km² matching 80% or better

    For example Koidu (80), Kenema (73)

  9. 9

    🇸🇱Northern Province, Sierra Leone

    2,400 sq mi6,100 km² matching 80% or better

    For example Kabala (79), Makeni (64)

  10. 10

    🇨🇲Centre, Cameroon

    2,100 sq mi5,400 km² matching 80% or better

    For example Nanga Eboko (77), Bafia (75)

  11. 11

    🇨🇲East, Cameroon

    2,100 sq mi5,400 km² matching 80% or better

    For example Bélabo (80), Batouri (77)

  12. 12

    🇨🇮Woroba, Ivory Coast

    2,100 sq mi5,400 km² matching 80% or better

    For example Touba (81), Borotou-Koro (70)

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

    🇧🇷SorrisoMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 78 in rainZone 12a · No frost · 0 chill hours · 1,970 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷BrasnorteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 83 in rainZone 12a · No frost · 0 chill hours · 2,111 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷JuínaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,048 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷Nova MutumMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 73 in rainZone 12a · No frost · 0 chill hours · 1,854 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: wheat

    99%match
  5. 5

    🇧🇷SinopMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 76 in rainZone 12a · No frost · 0 chill hours · 1,929 mm rain

    Shares 14 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇷JuaraMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 76 in rainZone 12a · No frost · 0 chill hours · 1,923 mm rain

    Shares 14 of your 19 great-fit crops

    98%match
  7. 7

    🇧🇷Campo Novo do ParecisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,002 mm rain

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

    97%match
  8. 8

    🇧🇷ParanatingaMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 71 in rainZone 11b · No frost · 0 chill hours · 1,793 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: wheat, canola (rapeseed)

    96%match
  9. 9

    🇧🇷Rolim de MouraRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 69 in rainZone 12a · No frost · 0 chill hours · 1,751 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  10. 10

    🇧🇷DiamantinoMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,605 mm rain

    Shares 16 of your 19 great-fit crops

    96%match
  11. 11

    🇧🇷AripuanãMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 80 in rainZone 12b · No frost · 0 chill hours · 2,027 mm rain

    Shares 16 of your 19 great-fit crops

    95%match
  12. 12

    🇧🇷ColíderMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 77 in rainZone 12b · No frost · 0 chill hours · 1,964 mm rain

    Shares 14 of your 19 great-fit crops

    95%match
  13. 13

    🇧🇷SapezalMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,003 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat, canola (rapeseed)

    94%match
  14. 14

    🇧🇷VilhenaRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,070 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat, canola (rapeseed)

    94%match
  15. 15

    🇧🇷Tangará da SerraMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,650 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: wheat

    94%match
  16. 16

    🇧🇷CacoalRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,062 mm rain

    Shares 18 of your 19 great-fit crops

    94%match
  17. 17

    🇧🇷Cumaru do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,794 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  18. 18

    🇧🇷ComodoroMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,955 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    93%match
  19. 19

    🇧🇷QuerênciaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,546 mm rain

    Shares 14 of your 19 great-fit crops

    93%match
  20. 20

    🇧🇷Vila RicaMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,754 mm rain

    Shares 14 of your 19 great-fit crops

    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 Tapurah: 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.