Climatch

Land with a climate like Kottur

🇮🇳Kottur, Tamil Nadu, India

The towns with the closest growing climate to Kottur are Madiun, Indonesia (94% match), Cumbum and Mettupalayam. About 369,000 sq mi of land in 19 countries matches 80% or better, most of it in Maranhão, Brazil, Tamil Nadu, India and Apure, Venezuela.The towns with the closest growing climate to Kottur are Madiun, Indonesia (94% match), Cumbum and Mettupalayam. About 955,000 km² of land in 19 countries matches 80% or better, most of it in Maranhão, Brazil, Tamil Nadu, India and Apure, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,471 mm rain

What grows in Kottur →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    19k sq mi49k km² matching 80% or better

    For example Mirador (85), Cantanhede (83)

  2. 2

    🇮🇳Tamil Nadu, India

    18k sq mi46k km² matching 80% or better

    For example Tevāram (95), Cumbum (93)

  3. 3

    🇻🇪Apure, Venezuela

    17k sq mi45k km² matching 80% or better

    For example Guasdualito (91), Elorza (88)

  4. 4

    🇻🇪Bolívar, Venezuela

    16k sq mi41k km² matching 80% or better

    For example Caicara del Orinoco (86), Ciudad Bolívar (84)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    14k sq mi37k km² matching 80% or better

    For example Soledad (90), San José de Guanipa (86)

  6. 6

    🇮🇩East Java, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Madiun (94), Ponorogo (92)

  7. 7

    🇮🇩East Nusa Tenggara, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Tambolaka (89), Labuan Bajo (88)

  8. 8

    🇨🇴Cesar Department, Colombia

    7,400 sq mi19k km² matching 80% or better

    For example Agustín Codazzi (89), Ariguaní (89)

  9. 9

    🇮🇳Kerala, India

    6,800 sq mi18k km² matching 80% or better

    For example Mannārakkāt (90), Vilappil (88)

  10. 10

    🇨🇴Arauca Department, Colombia

    6,500 sq mi17k km² matching 80% or better

    For example Arauca (92), Tame (78)

  11. 11

    🇰🇭Kratie, Cambodia

    5,500 sq mi14k km² matching 80% or better

    For example Snuol (90), Kratié (89)

  12. 12

    🇮🇩Central Java, Indonesia

    5,300 sq mi14k km² matching 80% or better

    For example Cepu (92), Blora (91)

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

    🇮🇩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 17 of your 19 great-fit crops · Also great there: macadamia

    94%match
  2. 2

    🇮🇳CumbumTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,458 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: macadamia

    93%match
  3. 3

    🇮🇳MettupalayamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 37 in rainZone 12b · No frost · 0 chill hours · 940 mm rain

    Shares 16 of your 19 great-fit crops

    92%match
  4. 4

    🇨🇴AraucaArauca Department, Colombia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,763 mm rain

    Shares 16 of your 19 great-fit crops

    92%match
  5. 5

    🇻🇪San CarlosCojedes, Venezuela

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,263 mm rain

    Shares 14 of your 19 great-fit crops

    92%match
  6. 6

    🇮🇩Mojokerto↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,753 mm rain

    Shares 14 of your 19 great-fit crops · Also great there: macadamia

    92%match
  7. 7

    🇰🇭Kampong ChhnangCambodia

    Zone 13a · No frost · 0 chill hours · 65 in rainZone 13a · No frost · 0 chill hours · 1,655 mm rain

    Shares 16 of your 19 great-fit crops

    91%match
  8. 8

    🇰🇭DarTboung Khmum, Cambodia

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,076 mm rain

    Shares 18 of your 19 great-fit crops

    91%match
  9. 9

    🇰🇭PursatCambodia

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,396 mm rain

    Shares 16 of your 19 great-fit crops

    91%match
  10. 10

    🇮🇳MetturTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 977 mm rain

    Shares 15 of your 19 great-fit crops

    91%match
  11. 11

    🇮🇩Kediri↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 73 in rainZone 13a · No frost · 0 chill hours · 1,856 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: macadamia

    91%match
  12. 12

    🇰🇭Prey VengCambodia

    Zone 13b · No frost · 0 chill hours · 52 in rainZone 13b · No frost · 0 chill hours · 1,309 mm rain

    Shares 16 of your 19 great-fit crops

    91%match
  13. 13

    🇮🇳MannārakkātKerala, India

    Zone 13a · No frost · 0 chill hours · 104 in rainZone 13a · No frost · 0 chill hours · 2,648 mm rain

    Shares 15 of your 19 great-fit crops

    90%match
  14. 14

    🇰🇭BattambangCambodia

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,333 mm rain

    Shares 14 of your 19 great-fit crops

    90%match
  15. 15

    🇻🇪BarinitasBarinas, Venezuela

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,491 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: macadamia

    90%match
  16. 16

    🇮🇩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 19 great-fit crops

    90%match
  17. 17

    🇮🇩Surabaya↻Seasons flipped. East Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,661 mm rain

    Shares 16 of your 19 great-fit crops

    90%match
  18. 18

    🇻🇪SoledadAnzoátegui, Venezuela

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

    Shares 15 of your 19 great-fit crops

    90%match
  19. 19

    🇰🇭SnuolKratie, Cambodia

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,998 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: macadamia

    90%match
  20. 20

    🇻🇳Hòa ThànhTay Ninh, Vietnam

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,913 mm rain

    Shares 17 of your 19 great-fit crops

    89%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 Kottur: 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.