Climatch

Land with a climate like Yenangyaung

🇲🇲Yenangyaung, Magway, Myanmar

The towns with the closest growing climate to Yenangyaung are Myingyan, Myanmar (99% match), Monywa and Meiktila. About 66,000 sq mi of land in 4 countries matches 80% or better, most of it in Andhra Pradesh, India, Magway, Myanmar and Mandalay Region, Myanmar.The towns with the closest growing climate to Yenangyaung are Myingyan, Myanmar (99% match), Monywa and Meiktila. About 172,000 km² of land in 4 countries matches 80% or better, most of it in Andhra Pradesh, India, Magway, Myanmar and Mandalay Region, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 710 mm rain

What grows in Yenangyaung →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    17k sq mi44k km² matching 80% or better

    For example Dharmavaram (86), Kadiri (85)

  2. 2

    🇲🇲Magway, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Pakokku (99), Yesagyo (99)

  3. 3

    🇲🇲Mandalay Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Nyaung-U (99), Myingyan (99)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    8,600 sq mi22k km² matching 80% or better

    For example Monywa (99), Sagaing (97)

  5. 5

    🇮🇳Karnataka, India

    7,200 sq mi19k km² matching 80% or better

    For example Gangavati (86), Ballari (85)

  6. 6

    🇧🇷Piauí, Brazil

    4,200 sq mi11k km² matching 80% or better

    For example Oeiras (80), Uruçuí (77)

  7. 7

    🇧🇷Maranhão, Brazil

    900 sq mi2,300 km² matching 80% or better

    For example Barão de Grajaú (75), Fortuna (71)

  8. 8

    🇮🇳Telangana, India

    300 sq mi700 km² matching 80% or better

    For example Madhira (80), Kodār (79)

  9. 9

    🇹🇭Lampang, Thailand

    300 sq mi700 km² matching 80% or better

    For example Thoen (81), Lampang (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

    🇲🇲MyingyanMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 698 mm rain

    Shares 13 of your 13 great-fit crops

    99%match
  2. 2

    🇲🇲MonywaSagaing Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 743 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: rice, sugarcane

    99%match
  3. 3

    🇲🇲MeiktilaMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 834 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    98%match
  4. 4

    🇲🇲TaungdwingyiMagway, Myanmar

    Zone 11b · No frost · 0 chill hours · 32 in rainZone 11b · No frost · 0 chill hours · 814 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    97%match
  5. 5

    🇲🇲MandalayMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 785 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    97%match
  6. 6

    🇲🇲KyaukseMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 798 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    96%match
  7. 7

    🇲🇲ThayetmyoMagway, Myanmar

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 982 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: rice, sugarcane

    95%match
  8. 8

    🇲🇲ShweboSagaing Region, Myanmar

    Zone 11a · No frost · 0 chill hours · 32 in rainZone 11a · No frost · 0 chill hours · 816 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    94%match
  9. 9

    🇲🇲YamethinMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 947 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    91%match
  10. 10

    🇲🇲PyayBago Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,232 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: rice, sugarcane

    91%match
  11. 11

    🇲🇲Nay Pyi TawMyanmar

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,244 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice

    86%match
  12. 12

    🇲🇲KanbaluSagaing Region, Myanmar

    Zone 11a · No frost · 0 chill hours · 42 in rainZone 11a · No frost · 0 chill hours · 1,068 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice, wheat

    86%match
  13. 13

    🇮🇳KadiriAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 684 mm rain

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

    85%match
  14. 14

    🇮🇳BallariKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 603 mm rain

    Shares 12 of your 13 great-fit crops · Also great there: table and raisin grapes

    85%match
  15. 15

    🇮🇳RayachotiAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 694 mm rain

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

    85%match
  16. 16

    🇮🇳GorantlaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: table and raisin grapes, rice, wheat

    84%match
  17. 17

    🇮🇳AnantapurAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 596 mm rain

    Shares 12 of your 13 great-fit crops

    83%match
  18. 18

    🇮🇳HindupurAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: table and raisin grapes, rice

    83%match
  19. 19

    🇲🇲MyanaungAyeyarwady, Myanmar

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,474 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: sugarcane, rice, date palm

    83%match
  20. 20

    🇮🇳SrīsailainAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 855 mm rain

    Shares 13 of your 13 great-fit crops · Also great there: rice, sugarcane

    83%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 Yenangyaung: 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.