Climatch

Land with a climate like Pacatuba

🇧🇷Pacatuba, Ceará, Brazil

The towns with the closest growing climate to Pacatuba are Fortim, Brazil (97% match), Trairi and Humberto de Campos. About 73,000 sq mi of land in 6 countries matches 80% or better, most of it in Maranhão, Brazil, Ceará, Brazil and Rio Grande do Norte, Brazil.The towns with the closest growing climate to Pacatuba are Fortim, Brazil (97% match), Trairi and Humberto de Campos. About 189,000 km² of land in 6 countries matches 80% or better, most of it in Maranhão, Brazil, Ceará, Brazil and Rio Grande do Norte, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,228 mm rain

What grows in Pacatuba →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    23k sq mi60k km² matching 80% or better

    For example Alcântara (93), Primeira Cruz (93)

  2. 2

    🇧🇷Ceará, Brazil

    14k sq mi36k km² matching 80% or better

    For example Paracuru (98), Fortim (97)

  3. 3

    🇧🇷Rio Grande do Norte, Brazil

    6,200 sq mi16k km² matching 80% or better

    For example Touros (84), Jucurutu (84)

  4. 4

    🇻🇳Khanh Hoa, Vietnam

    2,300 sq mi6,100 km² matching 80% or better

    For example Cam Ranh (82), Ninh Hòa (79)

  5. 5

    🇹🇱Lautém, Timor Leste

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

    For example Lospalos (78)

  6. 6

    🇹🇱Baucau, Timor Leste

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

    For example Baukau (77), Venilale (54)

  7. 7

    🇻🇪Nueva Esparta, Venezuela

    1,800 sq mi4,600 km² matching 80% or better

    For example Punta de Piedras (83), San Juan Bautista (80)

  8. 8

    🇹🇿Pwani, Tanzania

    1,200 sq mi3,100 km² matching 80% or better

    For example Kilindoni (75), Vikindu (67)

  9. 9

    🇹🇿Mtwara, Tanzania

    1,200 sq mi3,000 km² matching 80% or better

    For example Mtwara (74)

  10. 10

    🇲🇿Cabo Delgado Province, Mozambique

    900 sq mi2,300 km² matching 80% or better

    For example Mocímboa da Praia (70), Mocímboa (70)

  11. 11

    🇻🇪Sucre, Venezuela

    300 sq mi800 km² matching 80% or better

    For example Araya (80), Cumaná (76)

  12. 12

    🇻🇳Dak Lak, Vietnam

    300 sq mi800 km² matching 80% or better

    For example Sông Cầu (79), Tuy Hòa (77)

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

    🇧🇷FortimCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,144 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  2. 2

    🇧🇷TrairiCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,286 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  3. 3

    🇧🇷Humberto de CamposMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,675 mm rain

    Shares 14 of your 17 great-fit crops

    91%match
  4. 4

    🇧🇷ItapipocaCeará, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: table and raisin grapes

    91%match
  5. 5

    🇧🇷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: table and raisin grapes, wheat

    90%match
  6. 6

    🇧🇷CururupuMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 54 in rainZone 13b · No frost · 0 chill hours · 1,369 mm rain

    Shares 16 of your 17 great-fit crops

    89%match
  7. 7

    🇧🇷São LuísMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,948 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  8. 8

    🇧🇷BarreirinhasMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,407 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  9. 9

    🇧🇷São BernardoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,310 mm rain

    Shares 15 of your 17 great-fit crops

    88%match
  10. 10

    🇧🇷PinheiroMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,717 mm rain

    Shares 15 of your 17 great-fit crops

    88%match
  11. 11

    🇧🇷IcapuíCeará, Brazil

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 919 mm rain

    Shares 16 of your 17 great-fit crops

    87%match
  12. 12

    🇧🇷Urbano SantosMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,619 mm rain

    Shares 14 of your 17 great-fit crops

    87%match
  13. 13

    🇧🇷São Vicente FerrerMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,810 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: cacao, banana, tea

    85%match
  14. 14

    🇧🇷TuriaçuMaranhão, Brazil

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,044 mm rain

    Shares 16 of your 17 great-fit crops

    85%match
  15. 15

    🇧🇷Buriti dos LopesPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,205 mm rain

    Shares 15 of your 17 great-fit crops

    84%match
  16. 16

    🇧🇷TourosRio Grande do Norte, Brazil

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,145 mm rain

    Shares 17 of your 17 great-fit crops

    84%match
  17. 17

    🇧🇷RosárioMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,817 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: cacao, banana, tea

    84%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 16 of your 17 great-fit crops · Also great there: table and raisin grapes

    84%match
  19. 19

    🇧🇷ViseuPará, Brazil

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,026 mm rain

    Shares 16 of your 17 great-fit crops

    83%match
  20. 20

    🇧🇷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

    83%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 Pacatuba: 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.