Climatch

Land with a climate like Kyaukpadaung

🇲🇲Kyaukpadaung, Mandalay Region, Myanmar

The towns with the closest growing climate to Kyaukpadaung are Meiktila, Myanmar (99% match), Magway and Taungdwingyi. About 106,000 sq mi of land in 5 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Magway, Myanmar.The towns with the closest growing climate to Kyaukpadaung are Meiktila, Myanmar (99% match), Magway and Taungdwingyi. About 276,000 km² of land in 5 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Magway, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 768 mm rain

What grows in Kyaukpadaung →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    28k sq mi71k km² matching 80% or better

    For example Bāgepalli (90), Gauribidanur (87)

  2. 2

    🇧🇷Piauí, Brazil

    12k sq mi32k km² matching 80% or better

    For example Inhuma (82), Valença do Piauí (82)

  3. 3

    🇲🇲Magway, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Magway (97), Minbu (97)

  4. 4

    🇲🇲Mandalay Region, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Meiktila (99), Pyawbwe (96)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Monywa (96), Ye-u (96)

  6. 6

    🇮🇳Andhra Pradesh, India

    6,700 sq mi17k km² matching 80% or better

    For example Penukonda (88), Gorantla (87)

  7. 7

    🇧🇷Maranhão, Brazil

    3,900 sq mi10,000 km² matching 80% or better

    For example Passagem Franca (77), Pastos Bons (77)

  8. 8

    🇹🇭Lampang, Thailand

    3,700 sq mi9,600 km² matching 80% or better

    For example Lampang (84), Thoen (83)

  9. 9

    🇮🇳Maharashtra, India

    2,000 sq mi5,200 km² matching 80% or better

    For example Kurandvād (86), Sāngli (86)

  10. 10

    🇹🇿Mtwara, Tanzania

    1,500 sq mi3,800 km² matching 80% or better

    For example Nangomba (81), Lukuledi (80)

  11. 11

    🇹🇭Lamphun, Thailand

    900 sq mi2,200 km² matching 80% or better

    For example Pa Sang (86), Lamphun (85)

  12. 12

    🇹🇭Chiang Mai, Thailand

    800 sq mi2,200 km² matching 80% or better

    For example San Pa Tong (83), San Kamphaeng (83)

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

    🇲🇲MeiktilaMandalay Region, Myanmar

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

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇲🇲MagwayMyanmar

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

    Shares 15 of your 16 great-fit crops

    97%match
  3. 3

    🇲🇲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 16 great-fit crops

    97%match
  4. 4

    🇲🇲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 16 great-fit crops

    96%match
  5. 5

    🇲🇲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 16 great-fit crops

    95%match
  6. 6

    🇲🇲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 16 great-fit crops

    94%match
  7. 7

    🇲🇲YesagyoMagway, Myanmar

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 626 mm rain

    Shares 11 of your 16 great-fit crops

    94%match
  8. 8

    🇲🇲YamethinMandalay Region, Myanmar

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

    Shares 15 of your 16 great-fit crops

    93%match
  9. 9

    🇲🇲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 16 great-fit crops

    92%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 16 great-fit crops · Also great there: wheat

    91%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 16 great-fit crops

    89%match
  12. 12

    🇲🇲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 16 great-fit crops

    88%match
  13. 13

    🇮🇳MadanapalleAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    87%match
  14. 14

    🇮🇳HindupurAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops

    87%match
  15. 15

    🇮🇳KoppalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 778 mm rain

    Shares 16 of your 16 great-fit crops

    86%match
  16. 16

    🇮🇳HariharKarnataka, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 695 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat

    86%match
  17. 17

    🇮🇳SāngliMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 737 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wheat

    86%match
  18. 18

    🇮🇳HosapeteKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    85%match
  19. 19

    🇮🇳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 16 great-fit crops

    85%match
  20. 20

    🇮🇳ClosepetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 812 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wheat, avocado, canola (rapeseed)

    85%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 Kyaukpadaung: 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.