Climatch

Land with a climate like Piancó

🇧🇷Piancó, Paraíba, Brazil

The towns with the closest growing climate to Piancó are Conceição, Brazil (99% match), Cajazeiras and São Bento. About 154,000 sq mi of land in 7 countries matches 80% or better, most of it in Ceará, Brazil, Piauí, Brazil and Nampula, Mozambique.The towns with the closest growing climate to Piancó are Conceição, Brazil (99% match), Cajazeiras and São Bento. About 399,000 km² of land in 7 countries matches 80% or better, most of it in Ceará, Brazil, Piauí, Brazil and Nampula, Mozambique.

Your growing climate

Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 876 mm rain

What grows in Piancó →

Regions with the most land like yours

  1. 1

    🇧🇷Ceará, Brazil

    49k sq mi127k km² matching 80% or better

    For example Barro (97), Mauriti (96)

  2. 2

    🇧🇷Piauí, Brazil

    16k sq mi40k km² matching 80% or better

    For example Cocal (93), Piripiri (87)

  3. 3

    🇲🇿Nampula, Mozambique

    14k sq mi37k km² matching 80% or better

    For example Micolene (86), Angoche (85)

  4. 4

    🇧🇷Maranhão, Brazil

    11k sq mi29k km² matching 80% or better

    For example São Bernardo (87), Santa Quitéria do Maranhão (84)

  5. 5

    🇲🇿Cabo Delgado Province, Mozambique

    7,300 sq mi19k km² matching 80% or better

    For example Mocímboa da Praia (86), Mocímboa (85)

  6. 6

    🇲🇿Zambezia Province, Mozambique

    6,000 sq mi15k km² matching 80% or better

    For example Chinde (83), Pebane (83)

  7. 7

    🇲🇽Campeche, Mexico

    5,900 sq mi15k km² matching 80% or better

    For example Campeche (83), Champotón (82)

  8. 8

    🇲🇽Yucatán, Mexico

    3,100 sq mi8,000 km² matching 80% or better

    For example Hunucmá (82), Progreso (80)

  9. 9

    🇹🇿Mtwara, Tanzania

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

    For example Mtwara (82), Nanganga (76)

  10. 10

    🇻🇪Monagas, Venezuela

    600 sq mi1,500 km² matching 80% or better

    For example Caicara (80), Punta de Mata (79)

  11. 11

    🇲🇽Oaxaca, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Matías Romero Avendaño (74), Loma Bonita (59)

  12. 12

    🇮🇩East Nusa Tenggara, Indonesia

    300 sq mi800 km² matching 80% or better

    For example Waingapu (68), Kalabahi (63)

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

    🇧🇷ConceiçãoParaíba, Brazil

    Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 715 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    99%match
  2. 2

    🇧🇷CajazeirasParaíba, Brazil

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 802 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  3. 3

    🇧🇷São BentoParaíba, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 892 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, wheat

    96%match
  4. 4

    🇧🇷Brejo SantoCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 740 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  5. 5

    🇧🇷Pau dos FerrosRio Grande do Norte, Brazil

    Zone 13a · No frost · 0 chill hours · 30 in rainZone 13a · No frost · 0 chill hours · 757 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  6. 6

    🇧🇷AcopiaraCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 746 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  7. 7

    🇧🇷CocalPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 979 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  8. 8

    🇧🇷JucásCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 818 mm rain

    Shares 17 of your 17 great-fit crops

    92%match
  9. 9

    🇧🇷São José do BelmontePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 629 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    92%match
  10. 10

    🇧🇷Várzea AlegreCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 881 mm rain

    Shares 17 of your 17 great-fit crops

    92%match
  11. 11

    🇧🇷Serra TalhadaPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 617 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    91%match
  12. 12

    🇧🇷Novo OrienteCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 685 mm rain

    Shares 16 of your 17 great-fit crops

    91%match
  13. 13

    🇧🇷Juazeiro do NorteCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 912 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  14. 14

    🇧🇷ReriutabaCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 37 in rainZone 13a · No frost · 0 chill hours · 952 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  15. 15

    🇧🇷ItapiúnaCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 32 in rainZone 13a · No frost · 0 chill hours · 812 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  16. 16

    🇧🇷ItapipocaCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 924 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  17. 17

    🇧🇷IcóCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 28 in rainZone 13a · No frost · 0 chill hours · 718 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  18. 18

    🇧🇷JucurutuRio Grande do Norte, Brazil

    Zone 13a · No frost · 0 chill hours · 30 in rainZone 13a · No frost · 0 chill hours · 767 mm rain

    Shares 17 of your 17 great-fit crops

    90%match
  19. 19

    🇧🇷CatarinaCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 24 in rainZone 12b · No frost · 0 chill hours · 611 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    89%match
  20. 20

    🇧🇷QuixadáCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 30 in rainZone 13a · No frost · 0 chill hours · 765 mm rain

    Shares 17 of your 17 great-fit crops

    89%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 Piancó: 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.