Climatch

Land with a climate like Vettanād

🇮🇳Vettanād, Kerala, India

The towns with the closest growing climate to Vettanād are Krabi, Thailand (98% match), Purwodadi and Nattakam. About 857,000 sq mi of land in 35 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and South Sumatra, Indonesia.The towns with the closest growing climate to Vettanād are Krabi, Thailand (98% match), Purwodadi and Nattakam. About 2.2 million km² of land in 35 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and South Sumatra, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

What grows in Vettanād →

Regions with the most land like yours

  1. 1

    🇮🇩Central Kalimantan, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Kualakapuas (91), Palangkaraya (87)

  2. 2

    🇮🇩East Java, Indonesia

    17k sq mi43k km² matching 80% or better

    For example Ngawi (96), Ponorogo (95)

  3. 3

    🇮🇩South Sumatra, Indonesia

    15k sq mi39k km² matching 80% or better

    For example Indralaya (86), Baturaja (86)

  4. 4

    🇨🇴Antioquia, Colombia

    15k sq mi39k km² matching 80% or better

    For example Turbo (95), Carepa (93)

  5. 5

    🇻🇪Bolívar, Venezuela

    13k sq mi35k km² matching 80% or better

    For example La Paragua (84), Ciudad Piar (80)

  6. 6

    🇮🇳Kerala, India

    11k sq mi29k km² matching 80% or better

    For example Ochira (99), Krishnāpuram (99)

  7. 7

    🇨🇴Vichada Department, Colombia

    11k sq mi28k km² matching 80% or better

    For example Cumaribo (91), Puerto Carreño (84)

  8. 8

    🇨🇮Bas-Sassandra District, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Gagny (91), Watté (91)

  9. 9

    🇵🇭Mimaropa, Philippines

    11k sq mi27k km² matching 80% or better

    For example Puerto Princesa (86), Narra (85)

  10. 10

    🇧🇷Amazonas, Brazil

    10k sq mi27k km² matching 80% or better

    For example Careiro da Várzea (81), Autazes (80)

  11. 11

    🇨🇴Córdoba, Colombia

    8,900 sq mi23k km² matching 80% or better

    For example Tierralta (97), Ayapel (95)

  12. 12

    🇻🇪Zulia, Venezuela

    8,600 sq mi22k km² matching 80% or better

    For example Machiques (87), Caja Seca (86)

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

    🇹🇭KrabiThailand

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  2. 2

    🇮🇩Purwodadi↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,071 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  3. 3

    🇮🇳NattakamKerala, India

    Zone 13b · No frost · 0 chill hours · 130 in rainZone 13b · No frost · 0 chill hours · 3,309 mm rain

    Shares 14 of your 18 great-fit crops

    97%match
  4. 4

    🇨🇴TierraltaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,780 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  5. 5

    🇹🇭PhuketThailand

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,353 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  6. 6

    🇮🇳AlappuzhaKerala, India

    Zone 13b · No frost · 0 chill hours · 136 in rainZone 13b · No frost · 0 chill hours · 3,445 mm rain

    Shares 13 of your 18 great-fit crops

    96%match
  7. 7

    🇹🇭Ban Na SanSurat Thani, Thailand

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,929 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  8. 8

    🇮🇩Parepare↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,023 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  9. 9

    🇮🇳AramboliTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,489 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: strawberry, fig

    96%match
  10. 10

    🇮🇩Semarang↻Seasons flipped. Central Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,188 mm rain

    Shares 17 of your 18 great-fit crops

    95%match
  11. 11

    🇻🇳Hà TiênAn Giang, Vietnam

    Zone 13b · No frost · 0 chill hours · 75 in rainZone 13b · No frost · 0 chill hours · 1,917 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  12. 12

    🇵🇦PenonoméCoclé, Panama

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  13. 13

    🇮🇩Surakarta↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,178 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  14. 14

    🇨🇴MaganguéBolívar, Colombia

    Zone 13b · No frost · 0 chill hours · 64 in rainZone 13b · No frost · 0 chill hours · 1,627 mm rain

    Shares 15 of your 18 great-fit crops

    94%match
  15. 15

    🇮🇩Madiun↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,980 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  16. 16

    🇮🇩Kutoarjo↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,304 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: strawberry

    94%match
  17. 17

    🇨🇴MontelíbanoCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,131 mm rain

    Shares 15 of your 18 great-fit crops

    94%match
  18. 18

    🇮🇳ThodupuzhaKerala, India

    Zone 13b · No frost · 0 chill hours · 136 in rainZone 13b · No frost · 0 chill hours · 3,463 mm rain

    Shares 13 of your 18 great-fit crops

    94%match
  19. 19

    🇨🇴Planeta RicaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,569 mm rain

    Shares 16 of your 18 great-fit crops

    94%match
  20. 20

    🇮🇩Majenang↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,717 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: strawberry

    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 Vettanād: 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.