Climatch

Land with a climate like José de Freitas

🇧🇷José de Freitas, Piauí, Brazil

The towns with the closest growing climate to José de Freitas are Caxias, Brazil (99% match), Codó and Piripiri. About 165,000 sq mi of land in 6 countries matches 80% or better, most of it in Maranhão, Brazil, Piauí, Brazil and Guárico, Venezuela.The towns with the closest growing climate to José de Freitas are Caxias, Brazil (99% match), Codó and Piripiri. About 427,000 km² of land in 6 countries matches 80% or better, most of it in Maranhão, Brazil, Piauí, Brazil and Guárico, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,305 mm rain

What grows in José de Freitas →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    68k sq mi176k km² matching 80% or better

    For example Caxias (99), Aldeias Altas (99)

  2. 2

    🇧🇷Piauí, Brazil

    32k sq mi82k km² matching 80% or better

    For example Piripiri (99), Batalha (99)

  3. 3

    🇻🇪Guárico, Venezuela

    12k sq mi32k km² matching 80% or better

    For example Tucupido (84), Valle de La Pascua (84)

  4. 4

    🇧🇷Ceará, Brazil

    10k sq mi27k km² matching 80% or better

    For example Várzea Alegre (93), Jucás (92)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    9,500 sq mi24k km² matching 80% or better

    For example Aragua de Barcelona (86), Pariaguán (85)

  6. 6

    🇮🇳Tamil Nadu, India

    9,400 sq mi24k km² matching 80% or better

    For example Pāchchal (88), Jalārpet (88)

  7. 7

    🇮🇳Andhra Pradesh, India

    3,500 sq mi9,000 km² matching 80% or better

    For example Pākāla (84), Pīleru (84)

  8. 8

    🇻🇪Cojedes, Venezuela

    2,100 sq mi5,300 km² matching 80% or better

    For example El Pao (83), Tinaco (82)

  9. 9

    🇹🇿Morogoro, Tanzania

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

    For example Ifakara (79), Kidodi (78)

  10. 10

    🇮🇩East Java, Indonesia

    1,500 sq mi3,800 km² matching 80% or better

    For example Tanggulangin (85), Tulangan Utara (85)

  11. 11

    🇹🇿Mtwara, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Lukuledi (84), Nanganga (83)

  12. 12

    🇲🇽Oaxaca, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Crucecita (75), Matías Romero Avendaño (67)

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

    🇧🇷CaxiasMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,414 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  2. 2

    🇧🇷CodóMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,408 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  3. 3

    🇧🇷PiripiriPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,341 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇧🇷São João do SoterMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,280 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇧🇷ParnaramaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,200 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  6. 6

    🇧🇷CoroatáMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,379 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  7. 7

    🇧🇷Presidente DutraMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,150 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  8. 8

    🇧🇷PedreirasMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,492 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    99%match
  9. 9

    🇧🇷São Mateus do MaranhãoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,555 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: date palm

    98%match
  10. 10

    🇧🇷BacabalMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,580 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: date palm

    98%match
  11. 11

    🇧🇷EsperantinaPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,453 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  12. 12

    🇧🇷RegeneraçãoPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,163 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  13. 13

    🇧🇷EsperantinópolisMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,603 mm rain

    Shares 14 of your 15 great-fit crops

    97%match
  14. 14

    🇧🇷Lago da PedraMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,506 mm rain

    Shares 13 of your 15 great-fit crops

    97%match
  15. 15

    🇧🇷BrejoMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,584 mm rain

    Shares 13 of your 15 great-fit crops

    96%match
  16. 16

    🇧🇷Buriti BravoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,069 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  17. 17

    🇧🇷ChapadinhaMaranhão, Brazil

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,581 mm rain

    Shares 13 of your 15 great-fit crops

    96%match
  18. 18

    🇧🇷ColinasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,122 mm rain

    Shares 15 of your 15 great-fit crops

    95%match
  19. 19

    🇧🇷Barra do CordaMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 15 great-fit crops

    94%match
  20. 20

    🇧🇷Castelo do PiauíPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: table and raisin grapes, avocado

    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 José de Freitas: 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.