Climatch

Land with a climate like Rangpur

🇧🇩Rangpur, Rangpur Division, Bangladesh

The towns with the closest growing climate to Rangpur are Jamālpur, Bangladesh (99% match), Shibganj and Thākurgaon. About 174,000 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 Rangpur are Jamālpur, Bangladesh (99% match), Shibganj and Thākurgaon. About 450,000 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 · 1 chill hours · 97 in rainZone 11a · No frost · 1 chill hours · 2,452 mm rain

What grows in Rangpur →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    21k sq mi54k km² matching 80% or better

    For example Tufānganj (99), Alīpur Duār (99)

  2. 2

    🇮🇳Assam, India

    21k sq mi54k km² matching 80% or better

    For example Dhubri (99), Gauripur (99)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    15k sq mi40k km² matching 80% or better

    For example Tamu (93), Tatkon (93)

  4. 4

    🇲🇲Kachin State, Myanmar

    15k sq mi38k km² matching 80% or better

    For example Mogaung (94), Hopin (92)

  5. 5

    🇧🇩Chittagong, Bangladesh

    11k sq mi29k km² matching 80% or better

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

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Bherāmāra (96), Kushtia (95)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Sakhipur (99), Tangail (98)

  8. 8

    🇮🇳Bihar, India

    7,000 sq mi18k km² matching 80% or better

    For example Thākurganj (98), Kishanganj (96)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Rājbirāj (88), Lahān (87)

  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 (88), Borikhan (85)

  12. 12

    🇱🇦Vientiane, Laos

    2,500 sq mi6,600 km² matching 80% or better

    For example Vang Vieng (78)

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

    🇧🇩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
  2. 2

    🇧🇩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
  3. 3

    🇧🇩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 19 great-fit crops

    99%match
  4. 4

    🇧🇩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
  5. 5

    🇮🇳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

    99%match
  6. 6

    🇮🇳Alīpur DuārWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 133 in rainZone 11a · No frost · 0 chill hours · 3,386 mm rain

    Shares 15 of your 19 great-fit crops

    99%match
  7. 7

    🇧🇩SirajganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  8. 8

    🇮🇳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 19 great-fit crops

    98%match
  9. 9

    🇮🇳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

    98%match
  10. 10

    🇧🇩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

    98%match
  11. 11

    🇮🇳KāliyāganjWest Bengal, India

    Zone 10b · No frost · 12 chill hours · 71 in rainZone 10b · No frost · 12 chill hours · 1,805 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: date palm

    97%match
  12. 12

    🇧🇩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

    97%match
  13. 13

    🇧🇩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

    97%match
  14. 14

    🇮🇳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

    96%match
  15. 15

    🇧🇩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

    96%match
  16. 16

    🇮🇳BarpetaAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,246 mm rain

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

    96%match
  17. 17

    🇮🇳BongaigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 132 in rainZone 11a · No frost · 0 chill hours · 3,353 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: potato, banana

    96%match
  18. 18

    🇧🇩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

    96%match
  19. 19

    🇧🇩Shāhbāzpur TownChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 85 in rainZone 11a · No frost · 0 chill hours · 2,154 mm rain

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

    96%match
  20. 20

    🇮🇳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 19 great-fit crops · Also great there: banana

    96%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 Rangpur: 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.