Climatch

Land with a climate like Sagaing

🇲🇲Sagaing, Sagaing Region, Myanmar

The towns with the closest growing climate to Sagaing are Monywa, Myanmar (99% match), Myingyan and Shwebo. About 84,000 sq mi of land in 5 countries matches 80% or better, most of it in Magway, Myanmar, Sagaing Region, Myanmar and Mandalay Region, Myanmar.The towns with the closest growing climate to Sagaing are Monywa, Myanmar (99% match), Myingyan and Shwebo. About 218,000 km² of land in 5 countries matches 80% or better, most of it in Magway, Myanmar, Sagaing Region, Myanmar and Mandalay Region, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 745 mm rain

What grows in Sagaing →

Regions with the most land like yours

  1. 1

    🇲🇲Magway, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Taungdwingyi (99), Magway (99)

  2. 2

    🇲🇲Sagaing Region, Myanmar

    12k sq mi30k km² matching 80% or better

    For example Monywa (99), Ye-u (99)

  3. 3

    🇲🇲Mandalay Region, Myanmar

    11k sq mi30k km² matching 80% or better

    For example Myingyan (99), Meiktila (99)

  4. 4

    🇮🇳Andhra Pradesh, India

    8,700 sq mi23k km² matching 80% or better

    For example Kadiri (87), Gorantla (87)

  5. 5

    🇮🇳Karnataka, India

    7,000 sq mi18k km² matching 80% or better

    For example Bāgepalli (86), Gauribidanur (85)

  6. 6

    🇹🇭Lampang, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Thoen (92), Lampang (91)

  7. 7

    🇹🇭Sukhothai, Thailand

    2,900 sq mi7,400 km² matching 80% or better

    For example Sawankhalok (85), Si Satchanalai (84)

  8. 8

    🇹🇭Phrae, Thailand

    1,700 sq mi4,400 km² matching 80% or better

    For example Phrae (83), Den Chai (80)

  9. 9

    🇧🇷Piauí, Brazil

    1,200 sq mi3,100 km² matching 80% or better

    For example Oeiras (80), Valença do Piauí (79)

  10. 10

    🇮🇳Tamil Nadu, India

    900 sq mi2,300 km² matching 80% or better

    For example Peranāmpattu (81), Vaniyambadi (80)

  11. 11

    🇹🇿Mtwara, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Nanganga (82), Nangomba (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

    🇲🇲MonywaSagaing Region, Myanmar

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

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

    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 14 great-fit crops

    99%match
  3. 3

    🇲🇲ShweboSagaing Region, Myanmar

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

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

    99%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 14 of your 14 great-fit crops · Also great there: rice

    99%match
  5. 5

    🇲🇲MeiktilaMandalay Region, Myanmar

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

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

    99%match
  6. 6

    🇲🇲ThayetmyoMagway, Myanmar

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

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

    98%match
  7. 7

    🇲🇲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 14 great-fit crops

    98%match
  8. 8

    🇲🇲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 14 great-fit crops

    97%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 14 of your 14 great-fit crops · Also great there: rice

    97%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 14 of your 14 great-fit crops · Also great there: rice, wheat

    97%match
  11. 11

    🇹🇭ThoenLampang, Thailand

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

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

    92%match
  12. 12

    🇲🇲PyayBago Region, Myanmar

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

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

    92%match
  13. 13

    🇲🇲Nay Pyi TawMyanmar

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

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

    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 14 of your 14 great-fit crops · Also great there: rice

    91%match
  15. 15

    🇹🇭Chiang MaiThailand

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

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

    90%match
  16. 16

    🇮🇳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 14 great-fit crops · Also great there: rice

    87%match
  17. 17

    🇮🇳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 14 great-fit crops · Also great there: table and raisin grapes, rice

    87%match
  18. 18

    🇹🇭Dok Kham TaiPhayao, Thailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,063 mm rain

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

    85%match
  19. 19

    🇮🇳MadanapalleAndhra Pradesh, India

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

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

    85%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 13 of your 14 great-fit crops · Also great there: rice

    84%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 Sagaing: 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.