Climatch

Land with a climate like Cái Đôi Vàm

🇻🇳Cái Đôi Vàm, Ca Mau, Vietnam

The towns with the closest growing climate to Cái Đôi Vàm are Giá Rai, Vietnam (99% match), Rạch Giá and Hà Tiên. About 595,000 sq mi of land in 27 countries matches 80% or better, most of it in Mimaropa, Philippines, East Java, Indonesia and Central Java, Indonesia.The towns with the closest growing climate to Cái Đôi Vàm are Giá Rai, Vietnam (99% match), Rạch Giá and Hà Tiên. About 1.5 million km² of land in 27 countries matches 80% or better, most of it in Mimaropa, Philippines, East Java, Indonesia and Central Java, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,270 mm rain

What grows in Cái Đôi Vàm →

Regions with the most land like yours

  1. 1

    🇵🇭Mimaropa, Philippines

    25k sq mi65k km² matching 80% or better

    For example Roxas (97), El Nido (95)

  2. 2

    🇮🇩East Java, Indonesia

    18k sq mi48k km² matching 80% or better

    For example Sangkapura (97), Kalianget (93)

  3. 3

    🇮🇩Central Java, Indonesia

    15k sq mi40k km² matching 80% or better

    For example Kutoarjo (95), Jepara (94)

  4. 4

    🇧🇷Pará, Brazil

    13k sq mi35k km² matching 80% or better

    For example Óbidos (83), Juruti (81)

  5. 5

    🇨🇴Antioquia, Colombia

    9,800 sq mi25k km² matching 80% or better

    For example San Juan de Urabá (93), Turbo (93)

  6. 6

    🇮🇩West Java, Indonesia

    9,500 sq mi25k km² matching 80% or better

    For example Klangenan (94), Sumber (94)

  7. 7

    🇨🇴Córdoba, Colombia

    8,600 sq mi22k km² matching 80% or better

    For example Tierralta (91), Ayapel (89)

  8. 8

    🇵🇭Zamboanga Peninsula, Philippines

    8,000 sq mi21k km² matching 80% or better

    For example Siocon (91), Ipil (86)

  9. 9

    🇻🇳An Giang, Vietnam

    7,700 sq mi20k km² matching 80% or better

    For example Kiên Hải (99), Xóm Cái Nước (99)

  10. 10

    🇧🇷Amazonas, Brazil

    7,500 sq mi19k km² matching 80% or better

    For example Manacapuru (84), Careiro da Várzea (82)

  11. 11

    🇮🇳Andaman and Nicobar, India

    7,300 sq mi19k km² matching 80% or better

    For example Port Blair (96), Rangat (91)

  12. 12

    🇻🇪Bolívar, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example La Paragua (82), El Dorado (78)

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

    🇻🇳Giá RaiCa Mau, Vietnam

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,180 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  2. 2

    🇻🇳Rạch GiáAn Giang, Vietnam

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,892 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  3. 3

    🇻🇳Hà TiênAn Giang, Vietnam

    Zone 13b · No frost · 0 chill hours · 75 in rainZone 13b · No frost · 0 chill hours · 1,917 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  4. 4

    🇵🇭RoxasMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,968 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  5. 5

    🇮🇩Sangkapura↻Seasons flipped. East Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,947 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  6. 6

    🇮🇳Port BlairAndaman and Nicobar, India

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,752 mm rain

    Shares 16 of your 19 great-fit crops

    96%match
  7. 7

    🇻🇳Xuân LộcDong Nai, Vietnam

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,271 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  8. 8

    🇮🇩Kutoarjo↻Seasons flipped. Central 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

    95%match
  9. 9

    🇵🇭El NidoMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,474 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  10. 10

    🇻🇳Đồng XoàiDong Nai, Vietnam

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,571 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  11. 11

    🇻🇳Tịnh BiênAn Giang, Vietnam

    Zone 13b · No frost · 0 chill hours · 57 in rainZone 13b · No frost · 0 chill hours · 1,447 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: fig

    94%match
  12. 12

    🇻🇳Phu QuocAn Giang, Vietnam

    Zone 13a · No frost · 0 chill hours · 123 in rainZone 13a · No frost · 0 chill hours · 3,128 mm rain

    Shares 15 of your 19 great-fit crops

    94%match
  13. 13

    🇮🇩Jepara↻Seasons flipped. Central Java, Indonesia

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

    Shares 17 of your 19 great-fit crops

    94%match
  14. 14

    🇵🇦PenonoméCoclé, Panama

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 18 of your 19 great-fit crops

    94%match
  15. 15

    🇮🇩Yogyakarta↻Seasons flipped. Indonesia

    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

    94%match
  16. 16

    🇮🇩Tegal↻Seasons flipped. Central 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

    94%match
  17. 17

    🇵🇭Cabanatuan CityCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,021 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  18. 18

    🇨🇴San Juan de UrabáAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 60 in rainZone 13b · No frost · 0 chill hours · 1,533 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  19. 19

    🇵🇭BinangonanCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,172 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  20. 20

    🇨🇴TurboAntioquia, Colombia

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

    Shares 18 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 Cái Đôi Vàm: 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.