Climatch

Land with a climate like Namrole

🇮🇩Namrole, Maluku, Indonesia

The towns with the closest growing climate to Namrole are Kudat, Malaysia (98% match), Ambon and Sandakan. About 738,000 sq mi of land in 34 countries matches 80% or better, most of it in Sabah, Malaysia, Sarawak, Malaysia and Central Sulawesi, Indonesia.The towns with the closest growing climate to Namrole are Kudat, Malaysia (98% match), Ambon and Sandakan. About 1.9 million km² of land in 34 countries matches 80% or better, most of it in Sabah, Malaysia, Sarawak, Malaysia and Central Sulawesi, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,361 mm rain

What grows in Namrole →

Regions with the most land like yours

  1. 1

    🇲🇾Sabah, Malaysia

    26k sq mi69k km² matching 80% or better

    For example Kudat (98), Sandakan (96)

  2. 2

    🇲🇾Sarawak, Malaysia

    26k sq mi68k km² matching 80% or better

    For example Miri (90), Marudi (89)

  3. 3

    🇮🇩Central Sulawesi, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Bungku (95), Toli-Toli (90)

  4. 4

    🇮🇩Maluku, Indonesia

    17k sq mi45k km² matching 80% or better

    For example Ambon (98), Amahai (93)

  5. 5

    🇵🇭Bicol Region, Philippines

    16k sq mi42k km² matching 80% or better

    For example Masbate (90), Esperanza (87)

  6. 6

    🇮🇩Southwest Papua, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Waisai (90), Sorong (87)

  7. 7

    🇵🇭Eastern Visayas, Philippines

    13k sq mi33k km² matching 80% or better

    For example Inopacan (89), Tanauan (88)

  8. 8

    🇲🇾Johor, Malaysia

    13k sq mi33k km² matching 80% or better

    For example Mersing (86), Kampung Selang (86)

  9. 9

    🇧🇷Bahia, Brazil

    9,600 sq mi25k km² matching 80% or better

    For example Lauro de Freitas (92), Itaparica (92)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    8,900 sq mi23k km² matching 80% or better

    For example Sitangkai (91), Bongao (90)

  11. 11

    🇧🇷Amazonas, Brazil

    6,300 sq mi16k km² matching 80% or better

    For example Santa Isabel do Rio Negro (79), Barcelos (76)

  12. 12

    🇱🇰Eastern Province, Sri Lanka

    5,000 sq mi13k km² matching 80% or better

    For example Ampara (89), Eravur Town (84)

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

    🇲🇾Kudat↻Seasons flipped. Sabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,305 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  2. 2

    🇮🇩AmbonMaluku, Indonesia

    Zone 13a · No frost · 0 chill hours · 114 in rainZone 13a · No frost · 0 chill hours · 2,907 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  3. 3

    🇲🇾Sandakan↻Seasons flipped. Sabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,489 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  4. 4

    🇮🇩SananaNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,934 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  5. 5

    🇮🇩KawasiNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,667 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  6. 6

    🇲🇾Lahad Datu↻Seasons flipped. Sabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 1,996 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  7. 7

    🇭🇳La Ceiba↻Seasons flipped. Atlántida Department, Honduras

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,291 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  8. 8

    🇮🇩BungkuCentral Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,373 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  9. 9

    🇧🇷João PessoaParaíba, Brazil

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,055 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  10. 10

    🇵🇭Mapun↻Seasons flipped. Mimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,104 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  11. 11

    🇮🇩AmahaiMaluku, Indonesia

    Zone 13a · No frost · 0 chill hours · 114 in rainZone 13a · No frost · 0 chill hours · 2,892 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  12. 12

    🇭🇳Tela↻Seasons flipped. Atlántida Department, Honduras

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,438 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  13. 13

    🇧🇷AracajuSergipe, Brazil

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,541 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  14. 14

    🇧🇷MaceióAlagoas, Brazil

    Zone 12b · No frost · 0 chill hours · 79 in rainZone 12b · No frost · 0 chill hours · 1,998 mm rain

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

    92%match
  15. 15

    🇲🇾Kuala Krai↻Seasons flipped. Kelantan, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,674 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  16. 16

    🇧🇷EstânciaSergipe, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,799 mm rain

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

    92%match
  17. 17

    🇲🇾Kota Bharu↻Seasons flipped. Kelantan, Malaysia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,745 mm rain

    Shares 16 of your 19 great-fit crops

    92%match
  18. 18

    🇮🇩Bireun↻Seasons flipped. Aceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,666 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  19. 19

    🇮🇩Reuleuet↻Seasons flipped. Aceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,777 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  20. 20

    🇮🇩Banda Aceh↻Seasons flipped. Aceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,108 mm rain

    Shares 18 of your 19 great-fit crops

    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 Namrole: 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.