Climatch

Land with a climate like Marthandam

🇮🇳Marthandam, Tamil Nadu, India

The towns with the closest growing climate to Marthandam are Montería, Colombia (96% match), Magangué and Punalūr. About 500,000 sq mi of land in 34 countries matches 80% or better, most of it in Zulia, Venezuela, Antioquia, Colombia and East Java, Indonesia.The towns with the closest growing climate to Marthandam are Montería, Colombia (96% match), Magangué and Punalūr. About 1.3 million km² of land in 34 countries matches 80% or better, most of it in Zulia, Venezuela, Antioquia, Colombia and East Java, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 61 in rainZone 13b · No frost · 0 chill hours · 1,554 mm rain

What grows in Marthandam →

Regions with the most land like yours

  1. 1

    🇻🇪Zulia, Venezuela

    13k sq mi34k km² matching 80% or better

    For example San Timoteo (93), Machiques (92)

  2. 2

    🇨🇴Antioquia, Colombia

    12k sq mi30k km² matching 80% or better

    For example San Juan de Urabá (93), Turbo (91)

  3. 3

    🇮🇩East Java, Indonesia

    11k sq mi28k km² matching 80% or better

    For example Ngawi (92), Madiun (92)

  4. 4

    🇮🇩Central Java, Indonesia

    9,800 sq mi25k km² matching 80% or better

    For example Cepu (92), Blora (92)

  5. 5

    🇮🇩Southeast Sulawesi, Indonesia

    9,500 sq mi25k km² matching 80% or better

    For example Baubau (88), Raha (82)

  6. 6

    🇨🇴Córdoba, Colombia

    8,300 sq mi21k km² matching 80% or better

    For example Montería (96), Cotorra (96)

  7. 7

    🇨🇴Cesar Department, Colombia

    8,000 sq mi21k km² matching 80% or better

    For example Pailitas (95), Curumaní (94)

  8. 8

    🇹🇭Surat Thani, Thailand

    7,100 sq mi18k km² matching 80% or better

    For example Ban Na San (95), Tha Kham (94)

  9. 9

    🇨🇮Bas-Sassandra District, Ivory Coast

    6,800 sq mi18k km² matching 80% or better

    For example Gagny (87), Gligbeuadji (87)

  10. 10

    🇻🇳An Giang, Vietnam

    6,800 sq mi18k km² matching 80% or better

    For example Tịnh Biên (94), Châu Đốc (93)

  11. 11

    🇮🇳Kerala, India

    5,900 sq mi15k km² matching 80% or better

    For example Punalūr (95), Edavai (95)

  12. 12

    🇮🇳Tamil Nadu, India

    5,600 sq mi15k km² matching 80% or better

    For example Vadakarai Kīl Pidāgai (93), Kāmayakkavundanpatti (90)

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

    🇨🇴MonteríaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,400 mm rain

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

    96%match
  2. 2

    🇨🇴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 17 great-fit crops

    95%match
  3. 3

    🇮🇳PunalūrKerala, India

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,487 mm rain

    Shares 17 of your 17 great-fit crops

    95%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 17 great-fit crops

    95%match
  5. 5

    🇨🇴CurumaníCesar Department, Colombia

    Zone 13b · No frost · 0 chill hours · 61 in rainZone 13b · No frost · 0 chill hours · 1,554 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  6. 6

    🇹🇭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 17 great-fit crops

    94%match
  7. 7

    🇰🇭TakeoCambodia

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,388 mm rain

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

    94%match
  8. 8

    🇨🇴El BancoMagdalena Department, Colombia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,791 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  9. 9

    🇹🇭Surat ThaniThailand

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 17 great-fit crops

    94%match
  10. 10

    🇨🇴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 17 great-fit crops

    94%match
  11. 11

    🇮🇳KollamKerala, India

    Zone 13b · No frost · 0 chill hours · 110 in rainZone 13b · No frost · 0 chill hours · 2,786 mm rain

    Shares 15 of your 17 great-fit crops

    93%match
  12. 12

    🇨🇴LoricaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 50 in rainZone 13b · No frost · 0 chill hours · 1,258 mm rain

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

    93%match
  13. 13

    🇨🇴SincelejoSucre Department, Colombia

    Zone 13b · No frost · 0 chill hours · 47 in rainZone 13b · No frost · 0 chill hours · 1,184 mm rain

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

    93%match
  14. 14

    🇨🇴San OnofreSucre Department, Colombia

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

    Shares 13 of your 17 great-fit crops · Also great there: fig

    93%match
  15. 15

    🇨🇴SahagúnCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 49 in rainZone 13b · No frost · 0 chill hours · 1,249 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: fig

    93%match
  16. 16

    🇹🇭SadaoSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,931 mm rain

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

    93%match
  17. 17

    🇵🇦PenonoméCoclé, Panama

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

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

    93%match
  18. 18

    🇨🇴San Juan de UrabáAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 60 in rainZone 13b · No frost · 0 chill hours · 1,533 mm rain

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

    93%match
  19. 19

    🇻🇪San TimoteoZulia, Venezuela

    Zone 13b · No frost · 0 chill hours · 40 in rainZone 13b · No frost · 0 chill hours · 1,019 mm rain

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

    93%match
  20. 20

    🇻🇪MachiquesZulia, Venezuela

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,214 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: fig

    92%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 Marthandam: 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.