Climatch

Land with a climate like Chatan

🇯🇵Chatan, Okinawa, Japan

The towns with the closest growing climate to Chatan are Miyakojima, Japan (99% match), Ishigaki and Amami. About 53,000 sq mi of land in 11 countries matches 80% or better, most of it in Okinawa, Japan, Guangdong, China and Taiwan.The towns with the closest growing climate to Chatan are Miyakojima, Japan (99% match), Ishigaki and Amami. About 138,000 km² of land in 11 countries matches 80% or better, most of it in Okinawa, Japan, Guangdong, China and Taiwan.

Your growing climate

Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,192 mm rain

What grows in Chatan →

Regions with the most land like yours

  1. 1

    🇯🇵Okinawa, Japan

    9,400 sq mi24k km² matching 80% or better

    For example Miyakojima (99), Hirara (99)

  2. 2

    🇨🇳Guangdong, China

    7,700 sq mi20k km² matching 80% or better

    For example Anbu (83), Jieyang (83)

  3. 3

    🇹🇼Taiwan

    6,300 sq mi16k km² matching 80% or better

    For example Hualien City (97), Taipei (97)

  4. 4

    🇧🇷São Paulo, Brazil

    3,500 sq mi9,200 km² matching 80% or better

    For example Praia Grande (87), São Vicente (87)

  5. 5

    🇯🇵Kagoshima, Japan

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

    For example Amami (97), Naze (94)

  6. 6

    🇺🇸Florida, United States

    2,100 sq mi5,500 km² matching 80% or better

    For example Palm Beach Gardens (84), Riviera Beach (84)

  7. 7

    🇹🇴Tongatapu, Tonga

    1,400 sq mi3,600 km² matching 80% or better

    For example Nuku‘alofa (83)

  8. 8

    🇨🇰Rarotonga, Cook Islands

    1,100 sq mi2,900 km² matching 80% or better

    For example Avarua (80)

  9. 9

    🇹🇼Taipei, Taiwan

    1,100 sq mi2,800 km² matching 80% or better

    For example Banqiao (97), Shulin (97)

  10. 10

    🇺🇸Louisiana, United States

    800 sq mi2,000 km² matching 80% or better

    For example Houma (61), Bayou Cane (60)

  11. 11

    🇺🇸Mississippi, United States

    800 sq mi2,000 km² matching 80% or better

    For example Pascagoula (59), Biloxi (58)

  12. 12

    🇵🇫Îles du Vent, French Polynesia

    600 sq mi1,500 km² matching 80% or better

    For example Punaauia (75), Faaa (74)

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

    🇯🇵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

    99%match
  2. 2

    🇯🇵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

    99%match
  3. 3

    🇯🇵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

    97%match
  4. 4

    🇹🇼Hualien CityTaiwan, Taiwan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,087 mm rain

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

    97%match
  5. 5

    🇹🇼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

    97%match
  6. 6

    🇹🇼YilanTaiwan, Taiwan

    Zone 11a · No frost · 0 chill hours · 115 in rainZone 11a · No frost · 0 chill hours · 2,921 mm rain

    Shares 21 of your 23 great-fit crops

    96%match
  7. 7

    🇹🇼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

    94%match
  8. 8

    🇧🇲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

    89%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

    87%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

    86%match
  11. 11

    🇧🇷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

    86%match
  12. 12

    🇵🇳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

    83%match
  13. 13

    🇹🇴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

    83%match
  14. 14

    🇺🇸West Palm BeachFlorida, United States

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,617 mm rain

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

    83%match
  15. 15

    🇨🇳EnchengGuangdong, China

    Zone 10b · No frost · 4 chill hours · 78 in rainZone 10b · No frost · 4 chill hours · 1,989 mm rain

    Shares 23 of your 23 great-fit crops

    83%match
  16. 16

    🇨🇳ChangshaGuangdong, China

    Zone 10b · No frost · 4 chill hours · 74 in rainZone 10b · No frost · 4 chill hours · 1,876 mm rain

    Shares 23 of your 23 great-fit crops

    82%match
  17. 17

    🇨🇳PuningGuangdong, China

    Zone 10b · No frost · 13 chill hours · 58 in rainZone 10b · No frost · 13 chill hours · 1,462 mm rain

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

    82%match
  18. 18

    🇨🇳ShantouGuangdong, China

    Zone 10b · No frost · 10 chill hours · 58 in rainZone 10b · No frost · 10 chill hours · 1,484 mm rain

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

    81%match
  19. 19

    🇨🇳Jing’anGuangdong, China

    Zone 11a · No frost · 0 chill hours · 73 in rainZone 11a · No frost · 0 chill hours · 1,860 mm rain

    Shares 23 of your 23 great-fit crops

    81%match
  20. 20

    🇨🇳ZhaoqingGuangdong, China

    Zone 10b · No frost · 13 chill hours · 65 in rainZone 10b · No frost · 13 chill hours · 1,647 mm rain

    Shares 22 of your 23 great-fit crops

    81%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 Chatan: 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.