Climatch

Land with a climate like Srono

🇮🇩Srono, East Java, Indonesia

The towns with the closest growing climate to Srono are Mataram, Indonesia (99% match), Serang and Denpasar. About 2.0 million sq mi of land in 66 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.The towns with the closest growing climate to Srono are Mataram, Indonesia (99% match), Serang and Denpasar. About 5.2 million km² of land in 66 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,601 mm rain

What grows in Srono →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    50k sq mi128k km² matching 80% or better

    For example Tomé-Açu (84), Óbidos (84)

  2. 2

    🇧🇷Amazonas, Brazil

    44k sq mi114k km² matching 80% or better

    For example Urucará (83), Novo Airão (83)

  3. 3

    🇻🇪Bolívar, Venezuela

    29k sq mi75k km² matching 80% or better

    For example Tumeremo (96), El Dorado (96)

  4. 4

    🇵🇭Mimaropa, Philippines

    25k sq mi64k km² matching 80% or better

    For example Puerto Princesa (92), Narra (92)

  5. 5

    🇮🇩East Java, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Boyolangu (99), Trenggalek (99)

  6. 6

    🇮🇩Central Kalimantan, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Kualakapuas (90), Palangkaraya (85)

  7. 7

    🇧🇷Roraima, Brazil

    22k sq mi56k km² matching 80% or better

    For example Alto Alegre (84), Caracaraí (81)

  8. 8

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    20k sq mi52k km² matching 80% or better

    For example Inongo (86), Kutu (84)

  9. 9

    🇮🇩South Sumatra, Indonesia

    18k sq mi47k km² matching 80% or better

    For example Baturaja (88), Tanjungagung (86)

  10. 10

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Bumba (88), Lisala (86)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    17k sq mi44k km² matching 80% or better

    For example Basoko (89), Kisangani (82)

  12. 12

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Al-Barka (93), City of Isabela (93)

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

    🇮🇩MataramWest Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,908 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇩SerangBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  3. 3

    🇮🇩DenpasarBali, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,685 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  4. 4

    🇵🇬Port MoresbyNational Capital, Papua New Guinea

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,499 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  5. 5

    🇻🇪Tucupita↻Seasons flipped. Delta Amacuro, Venezuela

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,507 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  6. 6

    🇮🇩LumajangEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,884 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  7. 7

    🇮🇩TegalCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,943 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  8. 8

    🇻🇪Barrancas↻Seasons flipped. Monagas, Venezuela

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,343 mm rain

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

    97%match
  9. 9

    🇮🇩KedungwaruEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,874 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  10. 10

    🇮🇩WonosariYogyakarta, Indonesia

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,231 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  11. 11

    🇮🇩KutoarjoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,304 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  12. 12

    🇮🇩PurwodadiCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,071 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  13. 13

    🇮🇩MeraukeSouth Papua, Indonesia

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,512 mm rain

    Shares 16 of your 19 great-fit crops

    96%match
  14. 14

    🇻🇪Güiria↻Seasons flipped. Sucre, Venezuela

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,476 mm rain

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

    96%match
  15. 15

    🇮🇩PatiCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,126 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  16. 16

    🇻🇪Tumeremo↻Seasons flipped. Bolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,673 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  17. 17

    🇻🇪El Dorado↻Seasons flipped. Bolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,877 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  18. 18

    🇮🇩MranggenCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,144 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  19. 19

    🇮🇩PekalonganCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,454 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  20. 20

    🇮🇩YogyakartaIndonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,165 mm rain

    Shares 18 of your 19 great-fit crops

    96%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 Srono: 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.