Climatch

Land with a climate like Badarganj

🇧🇩Badarganj, Rangpur Division, Bangladesh

The towns with the closest growing climate to Badarganj are Shibganj, Bangladesh (99% match), Jamālpur and Mymensingh. About 188,000 sq mi of land in 7 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 Badarganj are Shibganj, Bangladesh (99% match), Jamālpur and Mymensingh. About 487,000 km² of land in 7 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 · 2 chill hours · 89 in rainZone 11a · No frost · 2 chill hours · 2,254 mm rain

What grows in Badarganj →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    26k sq mi66k km² matching 80% or better

    For example Islāmpur (99), Mātābhānga (99)

  2. 2

    🇮🇳Assam, India

    20k sq mi52k km² matching 80% or better

    For example Dhubri (97), Gauripur (97)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    17k sq mi44k km² matching 80% or better

    For example Tatkon (94), Tamu (94)

  4. 4

    🇲🇲Kachin State, Myanmar

    15k sq mi38k km² matching 80% or better

    For example Mogaung (96), Hopin (94)

  5. 5

    🇧🇩Chittagong, Bangladesh

    11k sq mi29k km² matching 80% or better

    For example Ashuganj City (96), Shāhbāzpur Town (95)

  6. 6

    🇮🇳Bihar, India

    9,100 sq mi24k km² matching 80% or better

    For example Thākurganj (99), Kishanganj (98)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Bherāmāra (97), Kushtia (96)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (99), Sakhipur (99)

  9. 9

    🇳🇵Madhesh, Nepal

    3,500 sq mi9,000 km² matching 80% or better

    For example Rājbirāj (92), Lahān (91)

  10. 10

    🇹🇭Bueng Kan, Thailand

    2,800 sq mi7,400 km² matching 80% or better

    For example Seka (90)

  11. 11

    🇱🇦Bolikhamsai, Laos

    2,800 sq mi7,300 km² matching 80% or better

    For example Pakxan (87), Borikhan (85)

  12. 12

    🇱🇦Khammouane Province, Laos

    2,600 sq mi6,600 km² matching 80% or better

    For example Thakhèk (80)

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

    🇧🇩ShibganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 77 in rainZone 11a · No frost · 0 chill hours · 1,966 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇩JamālpurMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,136 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇩MymensinghMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇮🇳MankācharMeghalaya, India

    Zone 11a · No frost · 0 chill hours · 99 in rainZone 11a · No frost · 0 chill hours · 2,502 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇩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 19 great-fit crops · Also great there: date palm

    99%match
  6. 6

    🇮🇳Koch BihārWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 134 in rainZone 11a · No frost · 0 chill hours · 3,399 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  7. 7

    🇧🇩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 19 great-fit crops

    98%match
  8. 8

    🇮🇳KishanganjBihar, India

    Zone 10b · No frost · 10 chill hours · 83 in rainZone 10b · No frost · 10 chill hours · 2,103 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: date palm

    98%match
  9. 9

    🇧🇩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 19 great-fit crops

    98%match
  10. 10

    🇮🇳JalpāiguriWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 135 in rainZone 11a · No frost · 0 chill hours · 3,419 mm rain

    Shares 15 of your 19 great-fit crops

    97%match
  11. 11

    🇮🇳DhubriAssam, India

    Zone 11a · No frost · 0 chill hours · 118 in rainZone 11a · No frost · 0 chill hours · 2,998 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: tea, banana

    97%match
  12. 12

    🇧🇩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 19 great-fit crops

    97%match
  13. 13

    🇳🇵BiratnagarKoshi, Nepal

    Zone 10b · No frost · 11 chill hours · 79 in rainZone 10b · No frost · 11 chill hours · 1,998 mm rain

    Shares 14 of your 19 great-fit crops · Also great there: date palm

    97%match
  14. 14

    🇮🇳RāiganjWest Bengal, India

    Zone 10b · No frost · 12 chill hours · 66 in rainZone 10b · No frost · 12 chill hours · 1,680 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: date palm

    97%match
  15. 15

    🇮🇳GoālpāraAssam, India

    Zone 11a · No frost · 0 chill hours · 113 in rainZone 11a · No frost · 0 chill hours · 2,877 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: tea, banana

    96%match
  16. 16

    🇧🇩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 19 great-fit crops · Also great there: date palm

    96%match
  17. 17

    🇮🇳NagaonAssam, India

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

    Shares 18 of your 19 great-fit crops · Also great there: banana, tea

    96%match
  18. 18

    🇮🇳ArāriaBihar, India

    Zone 10b · No frost · 11 chill hours · 77 in rainZone 10b · No frost · 11 chill hours · 1,954 mm rain

    Shares 14 of your 19 great-fit crops · Also great there: date palm

    96%match
  19. 19

    🇲🇲MogaungKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 78 in rainZone 10b · No frost · 6 chill hours · 1,992 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  20. 20

    🇧🇩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 19 great-fit crops · Also great there: banana, tea

    95%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 Badarganj: 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.