Climatch

Land with a climate like Jitra

🇲🇾Jitra, Kedah, Malaysia

The towns with the closest growing climate to Jitra are Lang Suan, Thailand (99% match), Kota Kuala Muda and Chumphon. About 2.1 million sq mi of land in 42 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Jitra are Lang Suan, Thailand (99% match), Kota Kuala Muda and Chumphon. About 5.6 million km² of land in 42 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.

Your growing climate

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

What grows in Jitra →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    157k sq mi406k km² matching 80% or better

    For example Novo Airão (94), Autazes (94)

  2. 2

    🇧🇷Pará, Brazil

    72k sq mi187k km² matching 80% or better

    For example Itaituba (94), Trairão (93)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Palangkaraya (98), Kualakapuas (97)

  4. 4

    🇮🇩Jambi, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Jambi City (93), Simpang (92)

  5. 5

    🇮🇩South Sumatra, Indonesia

    19k sq mi49k km² matching 80% or better

    For example Palembang (95), Baturaja (94)

  6. 6

    🇵🇪Loreto, Peru

    18k sq mi47k km² matching 80% or better

    For example Yurimaguas (92), Contamana (91)

  7. 7

    🇨🇴Antioquia, Colombia

    17k sq mi43k km² matching 80% or better

    For example Puerto Berrío (97), Yondó (97)

  8. 8

    🇵🇭Mimaropa, Philippines

    16k sq mi43k km² matching 80% or better

    For example Puerto Princesa (90), Narra (88)

  9. 9

    🇲🇾Sabah, Malaysia

    16k sq mi42k km² matching 80% or better

    For example Kota Kinabalu (93), Tawau (92)

  10. 10

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    15k sq mi39k km² matching 80% or better

    For example Inongo (86), Kutu (82)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    15k sq mi39k km² matching 80% or better

    For example Basoko (92), Kisangani (86)

  12. 12

    🇻🇪Bolívar, Venezuela

    15k sq mi38k km² matching 80% or better

    For example La Paragua (82), El Dorado (81)

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

    🇹🇭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 17 great-fit crops

    99%match
  2. 2

    🇲🇾Kota Kuala MudaKedah, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,665 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  3. 3

    🇹🇭ChumphonThailand

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

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

    99%match
  4. 4

    🇹🇭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 17 great-fit crops

    98%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 17 great-fit crops

    98%match
  6. 6

    🇹🇭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 17 great-fit crops

    98%match
  7. 7

    🇮🇩Palangkaraya↻Seasons flipped. Central Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,527 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  8. 8

    🇲🇾GerikPerak, Malaysia

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

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

    98%match
  9. 9

    🇮🇩Kualakapuas↻Seasons flipped. Central Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 96 in rainZone 13b · No frost · 0 chill hours · 2,435 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  10. 10

    🇨🇴Puerto BerríoAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,499 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  11. 11

    🇵🇭IpilZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 94 in rainZone 13b · No frost · 0 chill hours · 2,388 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  12. 12

    🇨🇴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 17 great-fit crops

    97%match
  13. 13

    🇨🇴Sabana de TorresSantander Department, Colombia

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,175 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  14. 14

    🇹🇭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 17 great-fit crops

    96%match
  15. 15

    🇮🇩Cileungsir↻Seasons flipped. West Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,458 mm rain

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

    96%match
  16. 16

    🇵🇭BudtaAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,354 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  17. 17

    🇮🇩Sampit↻Seasons flipped. Central Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,727 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  18. 18

    🇵🇭KoronadalSoccsksargen, Philippines

    Zone 13b · No frost · 0 chill hours · 68 in rainZone 13b · No frost · 0 chill hours · 1,724 mm rain

    Shares 16 of your 17 great-fit crops

    95%match
  19. 19

    🇨🇴Puerto BoyacáBoyacá, Colombia

    Zone 13b · No frost · 0 chill hours · 88 in rainZone 13b · No frost · 0 chill hours · 2,240 mm rain

    Shares 15 of your 17 great-fit crops

    95%match
  20. 20

    🇻🇪Casigua El CuboZulia, Venezuela

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,960 mm rain

    Shares 15 of your 17 great-fit crops

    95%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 Jitra: 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.