Climatch

Land with a climate like Nedumangād

🇮🇳Nedumangād, Kerala, India

The towns with the closest growing climate to Nedumangād are Krabi, Thailand (98% match), Ban Na San and Tierralta. About 823,000 sq mi of land in 38 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and Antioquia, Colombia.The towns with the closest growing climate to Nedumangād are Krabi, Thailand (98% match), Ban Na San and Tierralta. About 2.1 million km² of land in 38 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and Antioquia, Colombia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,965 mm rain

What grows in Nedumangād →

Regions with the most land like yours

  1. 1

    🇮🇩Central Kalimantan, Indonesia

    19k sq mi48k km² matching 80% or better

    For example Kualakapuas (91), Palangkaraya (88)

  2. 2

    🇮🇩East Java, Indonesia

    15k sq mi40k km² matching 80% or better

    For example Ngawi (96), Ponorogo (94)

  3. 3

    🇨🇴Antioquia, Colombia

    15k sq mi39k km² matching 80% or better

    For example Turbo (94), Chigorodó (93)

  4. 4

    🇮🇩Central Java, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Purwodadi (97), Sragen (96)

  5. 5

    🇻🇪Bolívar, Venezuela

    14k sq mi36k km² matching 80% or better

    For example La Paragua (84), Ciudad Piar (81)

  6. 6

    🇨🇮Bas-Sassandra District, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Gagny (90), Gligbeuadji (90)

  7. 7

    🇻🇪Zulia, Venezuela

    11k sq mi27k km² matching 80% or better

    For example Machiques (89), Caja Seca (88)

  8. 8

    🇨🇴Vichada Department, Colombia

    10k sq mi27k km² matching 80% or better

    For example Cumaribo (89), Puerto Carreño (83)

  9. 9

    🇨🇴Córdoba, Colombia

    8,900 sq mi23k km² matching 80% or better

    For example Tierralta (97), Ayapel (95)

  10. 10

    🇮🇳Kerala, India

    8,600 sq mi22k km² matching 80% or better

    For example Ādanāttutekkumuri Kizhakku (98), Karungappalli (97)

  11. 11

    🇵🇭Mimaropa, Philippines

    7,400 sq mi19k km² matching 80% or better

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

  12. 12

    🇻🇳An Giang, Vietnam

    7,400 sq mi19k km² matching 80% or better

    For example Hà Tiên (94), Tịnh Biên (93)

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

    🇹🇭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

    97%match
  3. 3

    🇨🇴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
  4. 4

    🇮🇩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
  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

    96%match
  6. 6

    🇮🇩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
  7. 7

    🇮🇩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
  8. 8

    🇨🇴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

    95%match
  9. 9

    🇮🇳KanniyākumāriTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 53 in rainZone 13b · No frost · 0 chill hours · 1,354 mm rain

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

    94%match
  10. 10

    🇮🇩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
  11. 11

    🇮🇩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
  12. 12

    🇮🇳KottayamKerala, India

    Zone 13b · No frost · 0 chill hours · 133 in rainZone 13b · No frost · 0 chill hours · 3,380 mm rain

    Shares 13 of your 18 great-fit crops

    94%match
  13. 13

    🇨🇴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
  14. 14

    🇮🇩Bojonegoro↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,826 mm rain

    Shares 17 of your 18 great-fit crops

    94%match
  15. 15

    🇹🇭Lang SuanChumphon, Thailand

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,923 mm rain

    Shares 17 of your 18 great-fit crops

    94%match
  16. 16

    🇨🇴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 18 great-fit crops · Also great there: fig

    94%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 18 of your 18 great-fit crops

    94%match
  18. 18

    🇮🇳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

    94%match
  19. 19

    🇻🇳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

    94%match
  20. 20

    🇮🇩Karawang↻Seasons flipped. West Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,789 mm rain

    Shares 18 of your 18 great-fit crops

    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 Nedumangād: 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.