Climatch

Land with a climate like Payathonzu

🇲🇲Payathonzu, Kayin State, Myanmar

The towns with the closest growing climate to Payathonzu are Myawaddy, Myanmar (99% match), Hpa-An and Bo. About 461,000 sq mi of land in 23 countries matches 80% or better, most of it in Pará, Brazil, Tocantins, Brazil and Chittagong, Bangladesh.The towns with the closest growing climate to Payathonzu are Myawaddy, Myanmar (99% match), Hpa-An and Bo. About 1.2 million km² of land in 23 countries matches 80% or better, most of it in Pará, Brazil, Tocantins, Brazil and Chittagong, Bangladesh.

Your growing climate

Zone 12a · No frost · 0 chill hours · 98 in rainZone 12a · No frost · 0 chill hours · 2,482 mm rain

What grows in Payathonzu →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    30k sq mi78k km² matching 80% or better

    For example Santa Maria das Barreiras (86), Santana do Araguaia (83)

  2. 2

    🇧🇷Tocantins, Brazil

    16k sq mi41k km² matching 80% or better

    For example Tocantinópolis (83), Colinas do Tocantins (82)

  3. 3

    🇧🇩Chittagong, Bangladesh

    14k sq mi36k km² matching 80% or better

    For example Raojān (90), Chattogram (90)

  4. 4

    🇲🇲Ayeyarwady, Myanmar

    13k sq mi35k km² matching 80% or better

    For example Maubin (88), Nyaungdon (86)

  5. 5

    🇧🇷Mato Grosso, Brazil

    13k sq mi34k km² matching 80% or better

    For example Vila Rica (82), Vila Bela da Santíssima Trindade (81)

  6. 6

    🇲🇲Bago Region, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Shwegyin (93), Daik-u (92)

  7. 7

    🇲🇲Mon, Myanmar

    9,800 sq mi25k km² matching 80% or better

    For example Kyauktaga (93), Kyaikto (90)

  8. 8

    🇸🇱Northern Province, Sierra Leone

    9,200 sq mi24k km² matching 80% or better

    For example Makeni (90), Kabala (87)

  9. 9

    🇹🇭Nakhon Ratchasima, Thailand

    8,100 sq mi21k km² matching 80% or better

    For example Khon Buri (87), Chok Chai (85)

  10. 10

    🇰🇭Kratie, Cambodia

    5,500 sq mi14k km² matching 80% or better

    For example Snuol (85), Preaek Prasab (83)

  11. 11

    🇹🇭Phetchabun, Thailand

    5,500 sq mi14k km² matching 80% or better

    For example Chon Daen (86), Lom Sak (86)

  12. 12

    🇱🇦Savannakhet Province, Laos

    5,400 sq mi14k km² matching 80% or better

    For example Ban Xénô (86), Savannakhet (84)

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

    🇲🇲MyawaddyKayin State, Myanmar

    Zone 12a · No frost · 0 chill hours · 92 in rainZone 12a · No frost · 0 chill hours · 2,346 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  2. 2

    🇲🇲Hpa-AnKayin State, Myanmar

    Zone 12a · No frost · 0 chill hours · 138 in rainZone 12a · No frost · 0 chill hours · 3,516 mm rain

    Shares 11 of your 14 great-fit crops · Also great there: date palm

    95%match
  3. 3

    🇸🇱BoSouthern Province, Sierra Leone

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,395 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana

    92%match
  4. 4

    🇲🇲BagoBago Region, Myanmar

    Zone 12a · No frost · 0 chill hours · 136 in rainZone 12a · No frost · 0 chill hours · 3,447 mm rain

    Shares 11 of your 14 great-fit crops · Also great there: date palm

    91%match
  5. 5

    🇲🇲NyaunglebinBago Region, Myanmar

    Zone 12a · No frost · 0 chill hours · 131 in rainZone 12a · No frost · 0 chill hours · 3,324 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: date palm

    91%match
  6. 6

    🇸🇱NjalaSouthern Province, Sierra Leone

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,720 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: banana, cacao

    91%match
  7. 7

    🇲🇲KyaiktoMon, Myanmar

    Zone 12a · No frost · 0 chill hours · 186 in rainZone 12a · No frost · 0 chill hours · 4,718 mm rain

    Shares 9 of your 14 great-fit crops · Also great there: date palm

    90%match
  8. 8

    🇸🇱MakeniNorthern Province, Sierra Leone

    Zone 13a · No frost · 0 chill hours · 111 in rainZone 13a · No frost · 0 chill hours · 2,827 mm rain

    Shares 12 of your 14 great-fit crops · Also great there: banana, cacao

    90%match
  9. 9

    🇹🇭UttaraditThailand

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,366 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: fig

    90%match
  10. 10

    🇧🇩ChattogramChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 110 in rainZone 11b · No frost · 0 chill hours · 2,785 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: wheat

    90%match
  11. 11

    🇧🇩KarnaphuliChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 104 in rainZone 11b · No frost · 0 chill hours · 2,649 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: wheat

    90%match
  12. 12

    🇰🇭PailinCambodia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,162 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, cacao, banana

    89%match
  13. 13

    🇱🇦Ban LaongamSalavan Province, Laos

    Zone 12a · No frost · 0 chill hours · 74 in rainZone 12a · No frost · 0 chill hours · 1,883 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, macadamia, wheat

    88%match
  14. 14

    🇧🇩BāndarbanChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 125 in rainZone 11b · No frost · 0 chill hours · 3,164 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: wheat, canola (rapeseed)

    88%match
  15. 15

    🇲🇲ShwenathaYangon, Myanmar

    Zone 12b · No frost · 0 chill hours · 106 in rainZone 12b · No frost · 0 chill hours · 2,698 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: date palm

    87%match
  16. 16

    🇲🇲MawlamyineMon, Myanmar

    Zone 12b · No frost · 0 chill hours · 197 in rainZone 12b · No frost · 0 chill hours · 4,999 mm rain

    Shares 9 of your 14 great-fit crops

    87%match
  17. 17

    🇸🇱KabalaNorthern Province, Sierra Leone

    Zone 12a · No frost · 0 chill hours · 83 in rainZone 12a · No frost · 0 chill hours · 2,098 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: cacao, banana

    87%match
  18. 18

    🇹🇭TakThailand

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: fig

    87%match
  19. 19

    🇱🇦VientianeVientiane Prefecture, Laos

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,607 mm rain

    Shares 13 of your 14 great-fit crops

    87%match
  20. 20

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: wheat, avocado, canola (rapeseed)

    87%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 Payathonzu: 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.