Climatch

Land with a climate like Dormentes

🇧🇷Dormentes, Pernambuco, Brazil

The towns with the closest growing climate to Dormentes are Lagoa Grande, Brazil (99% match), Casa Nova and Petrolina. About 210,000 sq mi of land in 6 countries matches 80% or better, most of it in Bahia, Brazil, Piauí, Brazil and Pernambuco, Brazil.The towns with the closest growing climate to Dormentes are Lagoa Grande, Brazil (99% match), Casa Nova and Petrolina. About 543,000 km² of land in 6 countries matches 80% or better, most of it in Bahia, Brazil, Piauí, Brazil and Pernambuco, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 18 in rainZone 12a · No frost · 0 chill hours · 456 mm rain

What grows in Dormentes →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    41k sq mi107k km² matching 80% or better

    For example Casa Nova (99), Juazeiro (99)

  2. 2

    🇧🇷Piauí, Brazil

    32k sq mi82k km² matching 80% or better

    For example Ipueiras (94), Jaicós (93)

  3. 3

    🇧🇷Pernambuco, Brazil

    15k sq mi40k km² matching 80% or better

    For example Lagoa Grande (99), Trindade (99)

  4. 4

    🇲🇿Tete, Mozambique

    10k sq mi27k km² matching 80% or better

    For example Songo (83), Moatize (81)

  5. 5

    🇲🇿Cabo Delgado Province, Mozambique

    10k sq mi26k km² matching 80% or better

    For example Chiúre (87), Montepuez (84)

  6. 6

    🇹🇿Mtwara, Tanzania

    6,200 sq mi16k km² matching 80% or better

    For example Masasi (84), Lukuledi (84)

  7. 7

    🇲🇿Nampula, Mozambique

    5,200 sq mi14k km² matching 80% or better

    For example Namapa-erati (85), Mutuáli (77)

  8. 8

    🇲🇽Guerrero, Mexico

    3,100 sq mi8,100 km² matching 80% or better

    For example Zumpango del Río (88), Tixtla de Guerrero (84)

  9. 9

    🇲🇽Michoacán, Mexico

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

    For example Nueva Italia de Ruiz (77), Apatzingán (75)

  10. 10

    🇹🇿Shinyanga, Tanzania

    2,400 sq mi6,200 km² matching 80% or better

    For example Kishapu (84), Songwa (84)

  11. 11

    🇹🇿Simiyu, Tanzania

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

    For example Lalago (86), Mwanhuzi (85)

  12. 12

    🇲🇽Oaxaca, Mexico

    2,000 sq mi5,200 km² matching 80% or better

    For example Ixtepec (66), Santo Domingo Tehuantepec (65)

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

    🇧🇷Lagoa GrandePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 19 in rainZone 12a · No frost · 0 chill hours · 476 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷Casa NovaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 17 in rainZone 12b · No frost · 0 chill hours · 427 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷PetrolinaPernambuco, Brazil

    Zone 12b · No frost · 0 chill hours · 17 in rainZone 12b · No frost · 0 chill hours · 421 mm rain

    Shares 19 of your 21 great-fit crops

    98%match
  4. 4

    🇧🇷OuricuriPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 522 mm rain

    Shares 13 of your 21 great-fit crops

    97%match
  5. 5

    🇧🇷ParnamirimPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 18 in rainZone 12a · No frost · 0 chill hours · 467 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: macadamia, canola (rapeseed)

    96%match
  6. 6

    🇧🇷Santa Maria da Boa VistaPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 13 in rainZone 12a · No frost · 0 chill hours · 333 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: canola (rapeseed), barley

    95%match
  7. 7

    🇧🇷Campos SalesCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 21 in rainZone 12b · No frost · 0 chill hours · 527 mm rain

    Shares 13 of your 21 great-fit crops

    95%match
  8. 8

    🇧🇷AraripinaPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 639 mm rain

    Shares 16 of your 21 great-fit crops

    94%match
  9. 9

    🇧🇷JaicósPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 572 mm rain

    Shares 14 of your 21 great-fit crops

    93%match
  10. 10

    🇧🇷BarraBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 587 mm rain

    Shares 13 of your 21 great-fit crops

    93%match
  11. 11

    🇧🇷SalgueiroPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 517 mm rain

    Shares 14 of your 21 great-fit crops

    91%match
  12. 12

    🇧🇷InhumaPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 729 mm rain

    Shares 17 of your 21 great-fit crops

    91%match
  13. 13

    🇧🇷AssaréCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 25 in rainZone 12b · No frost · 0 chill hours · 644 mm rain

    Shares 15 of your 21 great-fit crops

    90%match
  14. 14

    🇧🇷PicosPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 26 in rainZone 12b · No frost · 0 chill hours · 657 mm rain

    Shares 13 of your 21 great-fit crops

    90%match
  15. 15

    🇧🇷São Raimundo NonatoPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 25 in rainZone 12b · No frost · 0 chill hours · 636 mm rain

    Shares 13 of your 21 great-fit crops

    89%match
  16. 16

    🇲🇽Zumpango del Río↻Seasons flipped. Guerrero, Mexico

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 978 mm rain

    Shares 17 of your 21 great-fit crops

    88%match
  17. 17

    🇧🇷AbaréBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 15 in rainZone 12a · No frost · 0 chill hours · 376 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: canola (rapeseed), macadamia, barley

    88%match
  18. 18

    🇲🇿ChiúreCabo Delgado Province, Mozambique

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 16 of your 21 great-fit crops · Also great there: macadamia

    87%match
  19. 19

    🇧🇷IrecêBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 545 mm rain

    Shares 14 of your 21 great-fit crops

    87%match
  20. 20

    🇹🇿MaguguManyara, Tanzania

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 574 mm rain

    Shares 14 of your 21 great-fit crops · Also great there: canola (rapeseed), barley

    86%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 Dormentes: 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.