Climatch

Land with a climate like Xiulin, Taiwan

🇹🇼Xiulin, Taiwan, Taiwan

The towns with the closest growing climate to Xiulin, Taiwan are Ishigaki, Japan (98% match), Miyakojima and Taipei. About 127,000 sq mi of land in 22 countries matches 80% or better, most of it in Okinawa, Japan, Bahia, Brazil and Taiwan.The towns with the closest growing climate to Xiulin, Taiwan are Ishigaki, Japan (98% match), Miyakojima and Taipei. About 330,000 km² of land in 22 countries matches 80% or better, most of it in Okinawa, Japan, Bahia, Brazil and Taiwan.

Your growing climate

Zone 11b · No frost · 0 chill hours · 83 in rainZone 11b · No frost · 0 chill hours · 2,119 mm rain

What grows in Xiulin, Taiwan →

Regions with the most land like yours

  1. 1

    🇯🇵Okinawa, Japan

    9,400 sq mi24k km² matching 80% or better

    For example Ishigaki (98), Miyakojima (97)

  2. 2

    🇧🇷Bahia, Brazil

    9,200 sq mi24k km² matching 80% or better

    For example Buerarema (84), Una (83)

  3. 3

    🇹🇼Taiwan

    7,900 sq mi21k km² matching 80% or better

    For example Taipei (96), Taoyuan (96)

  4. 4

    🇧🇷São Paulo, Brazil

    6,800 sq mi18k km² matching 80% or better

    For example Praia Grande (92), Guarujá (92)

  5. 5

    🇨🇳Hainan, China

    5,900 sq mi15k km² matching 80% or better

    For example Wenchang (80), Haikou (79)

  6. 6

    🇨🇳Guangdong, China

    4,700 sq mi12k km² matching 80% or better

    For example Haimen (80), Shantou (80)

  7. 7

    🇲🇬Vatovavy Region, Madagascar

    3,900 sq mi10k km² matching 80% or better

    For example Mananjary (82), Sahavato (81)

  8. 8

    🇺🇸Florida, United States

    3,200 sq mi8,300 km² matching 80% or better

    For example Palm Beach Gardens (85), Jupiter (84)

  9. 9

    🇫🇯Central, Fiji

    3,100 sq mi8,100 km² matching 80% or better

    For example Lami (84), Nasinu (82)

  10. 10

    🇫🇯Western, Fiji

    3,100 sq mi8,100 km² matching 80% or better

    For example Sigatoka (83), Nadi (76)

  11. 11

    🇲🇽Veracruz, Mexico

    3,100 sq mi8,000 km² matching 80% or better

    For example Misantla (89), Tlapacoyan (87)

  12. 12

    🇯🇵Kagoshima, Japan

    2,600 sq mi6,800 km² matching 80% or better

    For example Amami (88), Naze (85)

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

    🇯🇵IshigakiOkinawa, Japan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,085 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    98%match
  2. 2

    🇯🇵MiyakojimaOkinawa, Japan

    Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,188 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    97%match
  3. 3

    🇹🇼TaipeiTaiwan, Taiwan

    Zone 11a · No frost · 0 chill hours · 108 in rainZone 11a · No frost · 0 chill hours · 2,734 mm rain

    Shares 22 of your 23 great-fit crops

    96%match
  4. 4

    🇯🇵NahaOkinawa, Japan

    Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,182 mm rain

    Shares 23 of your 23 great-fit crops

    96%match
  5. 5

    🇯🇵OkinawaJapan

    Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,196 mm rain

    Shares 23 of your 23 great-fit crops

    96%match
  6. 6

    🇹🇼HsinchuTaiwan, Taiwan

    Zone 11a · No frost · 0 chill hours · 71 in rainZone 11a · No frost · 0 chill hours · 1,814 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  7. 7

    🇹🇴Nuku‘alofa↻Seasons flipped. Tongatapu, Tonga

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,045 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: cacao

    92%match
  8. 8

    🇧🇷Santos↻Seasons flipped. São Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 100 in rainZone 12a · No frost · 0 chill hours · 2,541 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    92%match
  9. 9

    🇹🇼TaitungTaiwan, Taiwan

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 1,999 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: cacao

    92%match
  10. 10

    🇧🇷Itanhaém↻Seasons flipped. São Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 2,018 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    91%match
  11. 11

    🇧🇷Iguape↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,965 mm rain

    Shares 23 of your 23 great-fit crops

    90%match
  12. 12

    🇨🇰Avarua↻Seasons flipped. Rarotonga, Cook Islands

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,052 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: cacao

    89%match
  13. 13

    🇯🇵AmamiKagoshima, Japan

    Zone 11a · No frost · 2 chill hours · 100 in rainZone 11a · No frost · 2 chill hours · 2,540 mm rain

    Shares 23 of your 23 great-fit crops

    88%match
  14. 14

    🇵🇳Adamstown↻Seasons flipped. Pitcairn

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,530 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    88%match
  15. 15

    🇧🇷Miracatu↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,643 mm rain

    Shares 23 of your 23 great-fit crops

    88%match
  16. 16

    🇧🇷Ubatuba↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 96 in rainZone 11b · No frost · 0 chill hours · 2,444 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    87%match
  17. 17

    🇲🇽Papantla de OlarteVeracruz, Mexico

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,527 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: cacao

    86%match
  18. 18

    🇧🇷Caraguatatuba↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 85 in rainZone 11b · No frost · 0 chill hours · 2,162 mm rain

    Shares 23 of your 23 great-fit crops

    85%match
  19. 19

    🇧🇲HamiltonHamilton city, Bermuda

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,489 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao, fig

    85%match
  20. 20

    🇧🇷Cajati↻Seasons flipped. São Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,769 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: cacao

    84%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 Xiulin, Taiwan: 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.