Climatch

Land with a climate like Kurunegala

🇱🇰Kurunegala, North Western Province, Sri Lanka

The towns with the closest growing climate to Kurunegala are Colombo, Sri Lanka (98% match), Sengkang and Yala. About 1.1 million sq mi of land in 49 countries matches 80% or better, most of it in Sabah, Malaysia, Central Kalimantan, Indonesia and Central Sulawesi, Indonesia.The towns with the closest growing climate to Kurunegala are Colombo, Sri Lanka (98% match), Sengkang and Yala. About 2.9 million km² of land in 49 countries matches 80% or better, most of it in Sabah, Malaysia, Central Kalimantan, Indonesia and Central Sulawesi, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,266 mm rain

What grows in Kurunegala →

Regions with the most land like yours

  1. 1

    🇲🇾Sabah, Malaysia

    28k sq mi72k km² matching 80% or better

    For example Keningau (93), Papar (92)

  2. 2

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Palangkaraya (89), Sampit (88)

  3. 3

    🇮🇩Central Sulawesi, Indonesia

    19k sq mi49k km² matching 80% or better

    For example Poso (94), Bungku (91)

  4. 4

    🇮🇩South Sumatra, Indonesia

    19k sq mi48k km² matching 80% or better

    For example Palembang (88), Baturaja (87)

  5. 5

    🇨🇴Antioquia, Colombia

    15k sq mi40k km² matching 80% or better

    For example Chigorodó (93), Carepa (92)

  6. 6

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    14k sq mi36k km² matching 80% or better

    For example Pagaluñgan (88), Budta (88)

  7. 7

    🇲🇾Sarawak, Malaysia

    8,900 sq mi23k km² matching 80% or better

    For example Marudi (87), Beluru (84)

  8. 8

    🇨🇩Tshopo, Democratic Republic of the Congo

    7,200 sq mi19k km² matching 80% or better

    For example Basoko (84), Kisangani (78)

  9. 9

    🇲🇾Perak, Malaysia

    7,200 sq mi19k km² matching 80% or better

    For example Gerik (94), Parit Buntar (91)

  10. 10

    🇵🇭Zamboanga Peninsula, Philippines

    7,100 sq mi18k km² matching 80% or better

    For example Molave (83), Mahayag (83)

  11. 11

    🇹🇭Surat Thani, Thailand

    7,100 sq mi18k km² matching 80% or better

    For example Ko Samui (94), Surat Thani (93)

  12. 12

    🇵🇭Soccsksargen, Philippines

    6,800 sq mi18k km² matching 80% or better

    For example Malingao (88), Midsayap (87)

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

    🇱🇰ColomboWestern Province, Sri Lanka

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,623 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  2. 2

    🇮🇩Sengkang↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 73 in rainZone 13b · No frost · 0 chill hours · 1,857 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  3. 3

    🇹🇭YalaThailand

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,966 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  4. 4

    🇹🇭Thung SongNakhon Si Thammarat, Thailand

    Zone 13b · No frost · 0 chill hours · 78 in rainZone 13b · No frost · 0 chill hours · 1,975 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  5. 5

    🇹🇭PhatthalungThailand

    Zone 13b · No frost · 0 chill hours · 88 in rainZone 13b · No frost · 0 chill hours · 2,243 mm rain

    Shares 16 of your 19 great-fit crops

    95%match
  6. 6

    🇱🇰KalutaraWestern Province, Sri Lanka

    Zone 13b · No frost · 0 chill hours · 128 in rainZone 13b · No frost · 0 chill hours · 3,257 mm rain

    Shares 14 of your 19 great-fit crops

    95%match
  7. 7

    🇻🇪La FríaTáchira, Venezuela

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  8. 8

    🇱🇰GalleSouthern Province, Sri Lanka

    Zone 13b · No frost · 0 chill hours · 116 in rainZone 13b · No frost · 0 chill hours · 2,957 mm rain

    Shares 16 of your 19 great-fit crops

    95%match
  9. 9

    🇹🇭Nakhon Si ThammaratThailand

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,276 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  10. 10

    🇨🇴CimitarraSantander Department, Colombia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,501 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  11. 11

    🇹🇭TrangThailand

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,153 mm rain

    Shares 15 of your 19 great-fit crops

    94%match
  12. 12

    🇲🇾GerikPerak, Malaysia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,467 mm rain

    Shares 18 of your 19 great-fit crops

    94%match
  13. 13

    🇮🇩Poso↻Seasons flipped. Central Sulawesi, Indonesia

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

    Shares 18 of your 19 great-fit crops

    94%match
  14. 14

    🇮🇩Watampone↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,130 mm rain

    Shares 18 of your 19 great-fit crops

    94%match
  15. 15

    🇹🇭Ko SamuiSurat Thani, Thailand

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,712 mm rain

    Shares 18 of your 19 great-fit crops

    94%match
  16. 16

    🇹🇭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 19 great-fit crops

    94%match
  17. 17

    🇹🇭ChumphonThailand

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,999 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  18. 18

    🇹🇭NarathiwatThailand

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,348 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  19. 19

    🇮🇩Polewali↻Seasons flipped. West Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,041 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  20. 20

    🇬🇵Les AbymesGuadeloupe, Guadeloupe

    Zone 13a · No frost · 0 chill hours · 65 in rainZone 13a · No frost · 0 chill hours · 1,649 mm rain

    Shares 19 of your 19 great-fit crops

    93%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 Kurunegala: 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.