Climatch

Land with a climate like Malpe

🇮🇳Malpe, Karnataka, India

The towns with the closest growing climate to Malpe are Kanhangad, India (99% match), Kumta and Puttūr. About 69,000 sq mi of land in 8 countries matches 80% or better, most of it in Ayeyarwady, Myanmar, Rakhine, Myanmar and Karnataka, India.The towns with the closest growing climate to Malpe are Kanhangad, India (99% match), Kumta and Puttūr. About 178,000 km² of land in 8 countries matches 80% or better, most of it in Ayeyarwady, Myanmar, Rakhine, Myanmar and Karnataka, India.

Your growing climate

Zone 13a · No frost · 0 chill hours · 168 in rainZone 13a · No frost · 0 chill hours · 4,266 mm rain

What grows in Malpe →

Regions with the most land like yours

  1. 1

    🇲🇲Ayeyarwady, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Labutta (90), Pathein (90)

  2. 2

    🇲🇲Rakhine, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Manaung (91), Gwa (89)

  3. 3

    🇮🇳Karnataka, India

    8,100 sq mi21k km² matching 80% or better

    For example Murudeshwara (99), Honnavar (99)

  4. 4

    🇲🇲Mon, Myanmar

    7,700 sq mi20k km² matching 80% or better

    For example Martaban (87), Thanbyuzayat (87)

  5. 5

    🇮🇳Kerala, India

    5,300 sq mi14k km² matching 80% or better

    For example Koipādi (99), Kūdlu (99)

  6. 6

    🇬🇳Kindia, Guinea

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

    For example Forécariah (81), Dubréka (80)

  7. 7

    🇸🇱Western Area, Sierra Leone

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

    For example Freetown (86), Waterloo (83)

  8. 8

    🇸🇱North West, Sierra Leone

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

    For example Port Loko (86)

  9. 9

    🇮🇳Goa, India

    1,400 sq mi3,700 km² matching 80% or better

    For example Madgaon (87), Cuncolim (86)

  10. 10

    🇸🇱Northern Province, Sierra Leone

    1,200 sq mi3,100 km² matching 80% or better

    For example Mile 91 (82), Lunsar (82)

  11. 11

    🇬🇳Conakry, Guinea

    1,200 sq mi3,100 km² matching 80% or better

    For example Dixinn (82), Conakry (81)

  12. 12

    🇵🇭Ilocos, Philippines

    900 sq mi2,200 km² matching 80% or better

    For example Bantay (80), Vigan (80)

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

    🇮🇳KanhangadKerala, India

    Zone 13a · No frost · 0 chill hours · 154 in rainZone 13a · No frost · 0 chill hours · 3,900 mm rain

    Shares 9 of your 9 great-fit crops

    99%match
  2. 2

    🇮🇳KumtaKarnataka, India

    Zone 13a · No frost · 0 chill hours · 149 in rainZone 13a · No frost · 0 chill hours · 3,774 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: date palm

    98%match
  3. 3

    🇮🇳PuttūrKarnataka, India

    Zone 13a · No frost · 0 chill hours · 182 in rainZone 13a · No frost · 0 chill hours · 4,616 mm rain

    Shares 9 of your 9 great-fit crops

    98%match
  4. 4

    🇮🇳KarwarKarnataka, India

    Zone 13a · No frost · 0 chill hours · 133 in rainZone 13a · No frost · 0 chill hours · 3,377 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, date palm

    95%match
  5. 5

    🇮🇳TellicherryKerala, India

    Zone 13a · No frost · 0 chill hours · 145 in rainZone 13a · No frost · 0 chill hours · 3,695 mm rain

    Shares 9 of your 9 great-fit crops

    94%match
  6. 6

    🇲🇲ManaungRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 188 in rainZone 12a · No frost · 0 chill hours · 4,768 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: strawberry, date palm

    91%match
  7. 7

    🇲🇲LabuttaAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 122 in rainZone 12b · No frost · 0 chill hours · 3,099 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    90%match
  8. 8

    🇲🇲PatheinAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 121 in rainZone 12b · No frost · 0 chill hours · 3,067 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    90%match
  9. 9

    🇲🇲GwaRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 150 in rainZone 12a · No frost · 0 chill hours · 3,802 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: date palm

    89%match
  10. 10

    🇮🇳KozhikodeKerala, India

    Zone 13b · No frost · 0 chill hours · 131 in rainZone 13b · No frost · 0 chill hours · 3,324 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, tea

    89%match
  11. 11

    🇲🇲KyaukpyuRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 120 in rainZone 12a · No frost · 0 chill hours · 3,057 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    89%match
  12. 12

    🇮🇳MadgaonGoa, India

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,847 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    87%match
  13. 13

    🇲🇲ThanbyuzayatMon, Myanmar

    Zone 12b · No frost · 0 chill hours · 195 in rainZone 12b · No frost · 0 chill hours · 4,951 mm rain

    Shares 9 of your 9 great-fit crops

    87%match
  14. 14

    🇲🇲KyeintaliRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 171 in rainZone 12a · No frost · 0 chill hours · 4,341 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: date palm

    87%match
  15. 15

    🇸🇱FreetownWestern Area, Sierra Leone

    Zone 13a · No frost · 0 chill hours · 120 in rainZone 13a · No frost · 0 chill hours · 3,038 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    86%match
  16. 16

    🇸🇱Port LokoNorth West, Sierra Leone

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,757 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    86%match
  17. 17

    🇲🇲MawlamyineMon, Myanmar

    Zone 12b · No frost · 0 chill hours · 197 in rainZone 12b · No frost · 0 chill hours · 4,999 mm rain

    Shares 9 of your 9 great-fit crops

    86%match
  18. 18

    🇲🇲YeMon, Myanmar

    Zone 12b · No frost · 0 chill hours · 187 in rainZone 12b · No frost · 0 chill hours · 4,748 mm rain

    Shares 9 of your 9 great-fit crops

    85%match
  19. 19

    🇲🇲TaungupRakhine, Myanmar

    Zone 11b · No frost · 0 chill hours · 192 in rainZone 11b · No frost · 0 chill hours · 4,869 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: date palm, strawberry

    85%match
  20. 20

    🇲🇲WakemaAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 99 in rainZone 12b · No frost · 0 chill hours · 2,509 mm rain

    Shares 9 of your 9 great-fit crops · Also great there: mango, sugarcane, cassava

    84%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 Malpe: 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.