Climatch

Land with a climate like Arcoverde

🇧🇷Arcoverde, Pernambuco, Brazil

The towns with the closest growing climate to Arcoverde are Tacaratu, Brazil (99% match), Manari and Brejo da Madre de Deus. About 94,000 sq mi of land in 7 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Paraíba, Brazil.The towns with the closest growing climate to Arcoverde are Tacaratu, Brazil (99% match), Manari and Brejo da Madre de Deus. About 243,000 km² of land in 7 countries matches 80% or better, most of it in Bahia, Brazil, Pernambuco, Brazil and Paraíba, Brazil.

Your growing climate

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

What grows in Arcoverde →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    50k sq mi130k km² matching 80% or better

    For example Euclides da Cunha (98), Cícero Dantas (97)

  2. 2

    🇧🇷Pernambuco, Brazil

    20k sq mi51k km² matching 80% or better

    For example Tacaratu (99), Manari (99)

  3. 3

    🇧🇷Paraíba, Brazil

    7,100 sq mi18k km² matching 80% or better

    For example Esperança (96), Campina Grande (96)

  4. 4

    🇲🇿Inhambane Province, Mozambique

    1,100 sq mi2,800 km² matching 80% or better

    For example Massinga (80), Maxixe (78)

  5. 5

    🇹🇿Kilimanjaro, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Boma la Ngombe (68), Hedaru (62)

  6. 6

    🇹🇿Tanga, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Handeni (76), Chanika (76)

  7. 7

    🇻🇪Miranda, Venezuela

    600 sq mi1,500 km² matching 80% or better

    For example Petare (87), Los Dos Caminos (87)

  8. 8

    🇭🇳Colón Department, Honduras

    600 sq mi1,500 km² matching 80% or better

    For example Sabá (60)

  9. 9

    🇻🇪Vargas, Venezuela

    300 sq mi800 km² matching 80% or better

    For example Caraballeda (67), Maiquetía (56)

  10. 10

    🇻🇪Yaracuy, Venezuela

    300 sq mi800 km² matching 80% or better

    For example Nirgua (63), Aroa (53)

  11. 11

    🇭🇳Atlántida Department, Honduras

    300 sq mi700 km² matching 80% or better

  12. 12

    🇭🇳Yoro Department, Honduras

    300 sq mi700 km² matching 80% or better

    For example Yorito (70), Yoro (66)

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

    🇧🇷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 19 great-fit crops

    99%match
  2. 2

    🇧🇷ManariPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 663 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷Brejo da Madre de DeusPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 633 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: wine grapes

    98%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 19 of your 19 great-fit crops · Also great there: sugarcane

    98%match
  5. 5

    🇧🇷Euclides da CunhaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 636 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  6. 6

    🇧🇷LajedoPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 719 mm rain

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

    97%match
  7. 7

    🇧🇷Cícero DantasBahia, Brazil

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

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

    97%match
  8. 8

    🇧🇷Campina GrandeParaíba, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 748 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: rice, sugarcane

    96%match
  9. 9

    🇧🇷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 19 great-fit crops

    95%match
  10. 10

    🇧🇷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 19 great-fit crops

    95%match
  11. 11

    🇧🇷CaruaruPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 588 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: wine grapes

    95%match
  12. 12

    🇧🇷Sátiro DiasBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 693 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  13. 13

    🇧🇷JeremoaboBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  14. 14

    🇧🇷GravatáPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 790 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: sugarcane, rice, wine grapes

    95%match
  15. 15

    🇧🇷SurubimPernambuco, Brazil

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

    Shares 19 of your 19 great-fit crops · Also great there: rice, sugarcane

    95%match
  16. 16

    🇧🇷Mundo NovoBahia, Brazil

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

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

    94%match
  17. 17

    🇧🇷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 19 great-fit crops

    94%match
  18. 18

    🇧🇷Princesa IsabelParaíba, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 788 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: rice, sugarcane

    94%match
  19. 19

    🇧🇷CariraSergipe, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 713 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  20. 20

    🇧🇷TucanoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 626 mm rain

    Shares 16 of your 19 great-fit crops

    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 Arcoverde: 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.