Climatch

Land with a climate like Sarishābāri

🇧🇩Sarishābāri, Mymensingh Division, Bangladesh

The towns with the closest growing climate to Sarishābāri are Nāgarpur, Bangladesh (99% match), Pābna and Pār Naogaon. About 228,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Sarishābāri are Nāgarpur, Bangladesh (99% match), Pābna and Pār Naogaon. About 590,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.

Your growing climate

Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,988 mm rain

What grows in Sarishābāri →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    29k sq mi76k km² matching 80% or better

    For example Bālurghāt (99), Gobārdānga (97)

  2. 2

    🇮🇳Assam, India

    20k sq mi53k km² matching 80% or better

    For example Nagaon (97), Guwahati (96)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    18k sq mi46k km² matching 80% or better

    For example Tamu (96), Tatkon (95)

  4. 4

    🇲🇲Kachin State, Myanmar

    14k sq mi36k km² matching 80% or better

    For example Mogaung (96), Hopin (94)

  5. 5

    🇧🇩Chittagong, Bangladesh

    13k sq mi33k km² matching 80% or better

    For example Ashuganj City (99), Shāhbāzpur Town (99)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Kushtia (99), Bherāmāra (99)

  7. 7

    🇮🇳Bihar, India

    7,800 sq mi20k km² matching 80% or better

    For example Thākurganj (97), Kishanganj (95)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (99), Mirzāpur (99)

  9. 9

    🇹🇭Udon Thani, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Ban Dung (90), Nam Som (83)

  10. 10

    🇹🇭Loei, Thailand

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

    For example Wang Saphung (82), Loei (82)

  11. 11

    🇱🇦Savannakhet Province, Laos

    3,400 sq mi8,900 km² matching 80% or better

    For example Ban Xénô (82), Savannakhet (80)

  12. 12

    🇹🇭Phrae, Thailand

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

    For example Den Chai (81), Phrae (79)

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

    🇧🇩NāgarpurDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,855 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇩PābnaRajshahi Division, Bangladesh

    Zone 10b · No frost · 2 chill hours · 67 in rainZone 10b · No frost · 2 chill hours · 1,700 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇩Pār NaogaonRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,676 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: date palm

    99%match
  4. 4

    🇧🇩NatoreRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 67 in rainZone 10b · No frost · 3 chill hours · 1,700 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇧🇩NetrakonaMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 100 in rainZone 11a · No frost · 0 chill hours · 2,537 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia, banana, tea

    99%match
  6. 6

    🇧🇩ChilmāriRangpur Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 98 in rainZone 11a · No frost · 0 chill hours · 2,491 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  7. 7

    🇧🇩RangpurRangpur Division, Bangladesh

    Zone 11a · No frost · 1 chill hours · 97 in rainZone 11a · No frost · 1 chill hours · 2,452 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  8. 8

    🇧🇩GazipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,145 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana, tea

    99%match
  9. 9

    🇧🇩ComillaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,186 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana, macadamia, tea

    99%match
  10. 10

    🇮🇳BālurghātWest Bengal, India

    Zone 10b · No frost · 4 chill hours · 72 in rainZone 10b · No frost · 4 chill hours · 1,829 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  11. 11

    🇧🇩KhagrachhariChittagong, Bangladesh

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

    Shares 18 of your 18 great-fit crops

    99%match
  12. 12

    🇧🇩DinajpurRangpur Division, Bangladesh

    Zone 10b · No frost · 8 chill hours · 77 in rainZone 10b · No frost · 8 chill hours · 1,955 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  13. 13

    🇮🇳AgartalaTripura, India

    Zone 11a · No frost · 1 chill hours · 82 in rainZone 11a · No frost · 1 chill hours · 2,071 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana

    99%match
  14. 14

    🇧🇩HabiganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 95 in rainZone 11a · No frost · 0 chill hours · 2,402 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana, macadamia, tea

    98%match
  15. 15

    🇧🇩FarīdpurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,988 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  16. 16

    🇧🇩ThākurgaonRangpur Division, Bangladesh

    Zone 10b · No frost · 4 chill hours · 90 in rainZone 10b · No frost · 4 chill hours · 2,282 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  17. 17

    🇮🇳ĀmbāsaTripura, India

    Zone 11a · No frost · 2 chill hours · 79 in rainZone 11a · No frost · 2 chill hours · 2,017 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia, banana, tea

    98%match
  18. 18

    🇧🇩MohammadpurRajshahi Division, Bangladesh

    Zone 10b · No frost · 7 chill hours · 62 in rainZone 10b · No frost · 7 chill hours · 1,566 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: date palm

    97%match
  19. 19

    🇧🇩NarayanganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,196 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana

    97%match
  20. 20

    🇮🇳NagaonAssam, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,613 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: banana, macadamia, tea

    97%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 Sarishābāri: 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.