Climatch

Land with a climate like Cícero Dantas

🇧🇷Cícero Dantas, Bahia, Brazil

The towns with the closest growing climate to Cícero Dantas are Serrinha, Brazil (99% match), Inhambupe and Tacaratu. About 119,000 sq mi of land in 13 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Alagoas, Brazil.The towns with the closest growing climate to Cícero Dantas are Serrinha, Brazil (99% match), Inhambupe and Tacaratu. About 308,000 km² of land in 13 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Alagoas, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 838 mm rain

What grows in Cícero Dantas →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    64k sq mi165k km² matching 80% or better

    For example Sátiro Dias (99), Crisópolis (99)

  2. 2

    🇧🇷Pernambuco, Brazil

    16k sq mi41k km² matching 80% or better

    For example Tacaratu (99), Águas Belas (98)

  3. 3

    🇧🇷Alagoas, Brazil

    10k sq mi26k km² matching 80% or better

    For example Água Branca (99), Estrela de Alagoas (99)

  4. 4

    🇺🇸Hawaii, United States

    2,200 sq mi5,800 km² matching 80% or better

    For example Wahiawā-Whitmore (91), Wahiawā (91)

  5. 5

    🇳🇨South Province, New Caledonia

    2,200 sq mi5,700 km² matching 80% or better

    For example Dumbéa (85), Mont-Dore (83)

  6. 6

    🇭🇳Colón Department, Honduras

    900 sq mi2,200 km² matching 80% or better

    For example Sabá (73), Sonaguera (68)

  7. 7

    🇲🇬Anosy, Madagascar

    800 sq mi2,100 km² matching 80% or better

    For example Tôlanaro (85)

  8. 8

    🇿🇦KwaZulu-Natal, South Africa

    800 sq mi2,000 km² matching 80% or better

    For example Richards Bay (80), Mtubatuba (78)

  9. 9

    🇺🇬Central Region, Uganda

    600 sq mi1,500 km² matching 80% or better

    For example Lukaya (79), Masaka (76)

  10. 10

    🇻🇪Miranda, Venezuela

    600 sq mi1,500 km² matching 80% or better

    For example Petare (82), Los Dos Caminos (82)

  11. 11

    🇭🇳Atlántida Department, Honduras

    600 sq mi1,500 km² matching 80% or better

  12. 12

    🇭🇳Yoro Department, Honduras

    600 sq mi1,500 km² matching 80% or better

    For example Yorito (64), Yoro (64)

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

    🇧🇷SerrinhaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 714 mm rain

    Shares 16 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷InhambupeBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 941 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia, rice, banana

    99%match
  3. 3

    🇧🇷TacaratuPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 704 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷Águas BelasPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 769 mm rain

    Shares 20 of your 20 great-fit crops

    98%match
  5. 5

    🇧🇷IatiPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 679 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  6. 6

    🇧🇷Feira de SantanaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 889 mm rain

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

    98%match
  7. 7

    🇧🇷Tobias BarretoSergipe, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 829 mm rain

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

    98%match
  8. 8

    🇧🇷OlindinaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 845 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  9. 9

    🇧🇷Serra PretaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 682 mm rain

    Shares 16 of your 20 great-fit crops

    97%match
  10. 10

    🇧🇷ArcoverdePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 686 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  11. 11

    🇧🇷Girau do PoncianoAlagoas, Brazil

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 865 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: rice, macadamia

    97%match
  12. 12

    🇧🇷Nossa Senhora da GlóriaSergipe, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 794 mm rain

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

    97%match
  13. 13

    🇧🇷Mundo NovoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 851 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  14. 14

    🇧🇷Olho d'Água das FloresAlagoas, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 700 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  15. 15

    🇧🇷InhapiAlagoas, Brazil

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 648 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  16. 16

    🇧🇷BuíquePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 877 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: wine grapes, macadamia

    95%match
  17. 17

    🇧🇷ArapiracaAlagoas, Brazil

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 808 mm rain

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

    95%match
  18. 18

    🇧🇷Cruz das AlmasBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,087 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: macadamia, rice, banana

    95%match
  19. 19

    🇧🇷IpiráBahia, Brazil

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

    Shares 15 of your 20 great-fit crops

    95%match
  20. 20

    🇧🇷SurubimPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 783 mm rain

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

    94%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 Cícero Dantas: 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.