Climatch

Land with a climate like Meiktila

🇲🇲Meiktila, Mandalay Region, Myanmar

The towns with the closest growing climate to Meiktila are Taungdwingyi, Myanmar (99% match), Myingyan and Mandalay. About 134,000 sq mi of land in 5 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Andhra Pradesh, India.The towns with the closest growing climate to Meiktila are Taungdwingyi, Myanmar (99% match), Myingyan and Mandalay. About 347,000 km² of land in 5 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Andhra Pradesh, India.

Your growing climate

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

What grows in Meiktila →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    24k sq mi63k km² matching 80% or better

    For example Bāgepalli (90), Mundargi (89)

  2. 2

    🇧🇷Piauí, Brazil

    18k sq mi45k km² matching 80% or better

    For example Valença do Piauí (85), Amarante (84)

  3. 3

    🇮🇳Andhra Pradesh, India

    16k sq mi40k km² matching 80% or better

    For example Kadiri (91), Penukonda (91)

  4. 4

    🇲🇲Magway, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Taungdwingyi (99), Magway (99)

  5. 5

    🇲🇲Mandalay Region, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Kyaukse (99), Myingyan (99)

  6. 6

    🇲🇲Sagaing Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Sagaing (99), Monywa (98)

  7. 7

    🇧🇷Maranhão, Brazil

    9,800 sq mi25k km² matching 80% or better

    For example Barão de Grajaú (84), Parnarama (83)

  8. 8

    🇹🇭Lampang, Thailand

    3,400 sq mi8,800 km² matching 80% or better

    For example Thoen (91), Lampang (91)

  9. 9

    🇮🇳Tamil Nadu, India

    2,900 sq mi7,600 km² matching 80% or better

    For example Krishnagiri (85), Kādiganpalli (85)

  10. 10

    🇹🇭Sukhothai, Thailand

    2,300 sq mi5,900 km² matching 80% or better

    For example Sawankhalok (84), Si Satchanalai (83)

  11. 11

    🇹🇭Tak, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Ban Tak (86), Tak (82)

  12. 12

    🇹🇿Mtwara, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Nangomba (82), Lukuledi (81)

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

    🇲🇲TaungdwingyiMagway, Myanmar

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

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇲🇲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 15 great-fit crops

    99%match
  3. 3

    🇲🇲MandalayMandalay Region, Myanmar

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

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇲🇲ChaukMagway, Myanmar

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 676 mm rain

    Shares 13 of your 15 great-fit crops

    99%match
  5. 5

    🇲🇲MonywaSagaing Region, Myanmar

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

    Shares 15 of your 15 great-fit crops

    98%match
  6. 6

    🇲🇲YenangyaungMagway, Myanmar

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

    Shares 13 of your 15 great-fit crops

    98%match
  7. 7

    🇲🇲ShweboSagaing Region, Myanmar

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

    Shares 15 of your 15 great-fit crops

    97%match
  8. 8

    🇲🇲ThayetmyoMagway, Myanmar

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

    Shares 15 of your 15 great-fit crops

    96%match
  9. 9

    🇲🇲Nay Pyi TawMyanmar

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

    Shares 15 of your 15 great-fit crops

    94%match
  10. 10

    🇲🇲KanbaluSagaing Region, Myanmar

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

    Shares 15 of your 15 great-fit crops · Also great there: wheat

    93%match
  11. 11

    🇲🇲PyayBago Region, Myanmar

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

    Shares 15 of your 15 great-fit crops

    92%match
  12. 12

    🇹🇭ThoenLampang, Thailand

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 987 mm rain

    Shares 15 of your 15 great-fit crops

    91%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 14 of your 15 great-fit crops

    91%match
  14. 14

    🇹🇭LampangThailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,060 mm rain

    Shares 15 of your 15 great-fit crops

    91%match
  15. 15

    🇮🇳HindupurAndhra Pradesh, India

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

    Shares 14 of your 15 great-fit crops · Also great there: table and raisin grapes

    90%match
  16. 16

    🇮🇳HosapeteKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 766 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: table and raisin grapes

    88%match
  17. 17

    🇮🇳MadanapalleAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 692 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: table and raisin grapes, wheat, canola (rapeseed)

    88%match
  18. 18

    🇹🇭Chiang MaiThailand

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,051 mm rain

    Shares 15 of your 15 great-fit crops

    87%match
  19. 19

    🇮🇳PīleruAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 768 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: wheat

    86%match
  20. 20

    🇮🇳RayachotiAndhra Pradesh, India

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

    Shares 14 of your 15 great-fit crops

    86%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 Meiktila: 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.