Climatch

Land with a climate like Kasba

🇮🇳Kasba, Bihar, India

The towns with the closest growing climate to Kasba are Malda, India (99% match), Gangārāmpur and Saharsa. About 132,000 sq mi of land in 5 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Kasba are Malda, India (99% match), Gangārāmpur and Saharsa. About 341,000 km² of land in 5 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Sagaing Region, Myanmar.

Your growing climate

Zone 10b · No frost · 15 chill hours · 64 in rainZone 10b · No frost · 15 chill hours · 1,629 mm rain

What grows in Kasba →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    28k sq mi73k km² matching 80% or better

    For example Malda (99), Gangārāmpur (99)

  2. 2

    🇮🇳Bihar, India

    28k sq mi72k km² matching 80% or better

    For example Bhawanipur (99), Bīrpur (99)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    15k sq mi40k km² matching 80% or better

    For example Mawlaik (87), Tatkon (86)

  4. 4

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Shibganj (99), Mohammadpur (99)

  5. 5

    🇮🇳Uttar Pradesh, India

    6,900 sq mi18k km² matching 80% or better

    For example Nichlaul (95), Khada (95)

  6. 6

    🇲🇲Kachin State, Myanmar

    6,800 sq mi18k km² matching 80% or better

    For example Mogaung (90), Hopin (86)

  7. 7

    🇧🇩Rangpur Division, Bangladesh

    5,100 sq mi13k km² matching 80% or better

    For example Pīrgaaj (99), Dinajpur (98)

  8. 8

    🇧🇩Mymensingh Division, Bangladesh

    4,300 sq mi11k km² matching 80% or better

    For example Sarishābāri (90), Jamālpur (90)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Rājbirāj (99), Lahān (98)

  10. 10

    🇳🇵Koshi, Nepal

    1,900 sq mi4,800 km² matching 80% or better

    For example Inaruwa (99), Īṭahari̇̄ (97)

  11. 11

    🇳🇵Bagmati Province, Nepal

    1,100 sq mi2,700 km² matching 80% or better

    For example Bharatpur (93), Hetauda (72)

  12. 12

    🇹🇭Nong Khai, Thailand

    600 sq mi1,500 km² matching 80% or better

    For example Phon Charoen (81), Nong Khai (75)

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

    🇮🇳MaldaWest Bengal, India

    Zone 10b · No frost · 3 chill hours · 56 in rainZone 10b · No frost · 3 chill hours · 1,411 mm rain

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

    99%match
  2. 2

    🇮🇳GangārāmpurWest Bengal, India

    Zone 10b · No frost · 6 chill hours · 67 in rainZone 10b · No frost · 6 chill hours · 1,707 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, barley

    99%match
  3. 3

    🇮🇳SaharsaBihar, India

    Zone 10b · Frost 1 years in 10 · 23 chill hours · 48 in rainZone 10b · Frost 1 years in 10 · 23 chill hours · 1,218 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

    99%match
  4. 4

    🇧🇩MohammadpurRajshahi Division, Bangladesh

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

    Shares 16 of your 16 great-fit crops · Also great there: barley, avocado

    99%match
  5. 5

    🇳🇵InaruwaKoshi, Nepal

    Zone 10b · No frost · 10 chill hours · 71 in rainZone 10b · No frost · 10 chill hours · 1,814 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  6. 6

    🇧🇩NawābganjRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 58 in rainZone 10b · No frost · 3 chill hours · 1,461 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: barley, fig

    99%match
  7. 7

    🇮🇳PakurJharkhand, India

    Zone 10b · No frost · 7 chill hours · 56 in rainZone 10b · No frost · 7 chill hours · 1,434 mm rain

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

    98%match
  8. 8

    🇮🇳IslāmpurWest Bengal, India

    Zone 10b · No frost · 5 chill hours · 94 in rainZone 10b · No frost · 5 chill hours · 2,389 mm rain

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

    98%match
  9. 9

    🇳🇵LahānMadhesh, Nepal

    Zone 10b · Frost 1 years in 10 · 29 chill hours · 55 in rainZone 10b · Frost 1 years in 10 · 29 chill hours · 1,406 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig, canola (rapeseed)

    98%match
  10. 10

    🇧🇩RajshahiRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 63 in rainZone 10b · No frost · 3 chill hours · 1,591 mm rain

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

    98%match
  11. 11

    🇮🇳GoddaJharkhand, India

    Zone 10b · Frost 1 years in 10 · 16 chill hours · 51 in rainZone 10b · Frost 1 years in 10 · 16 chill hours · 1,297 mm rain

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

    98%match
  12. 12

    🇮🇳BaharampurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,486 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: barley, fig

    97%match
  13. 13

    🇧🇩ThākurgaonRangpur Division, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado, barley

    97%match
  14. 14

    🇧🇩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 16 of your 16 great-fit crops · Also great there: avocado, barley, canola (rapeseed)

    97%match
  15. 15

    🇮🇳BhāgalpurBihar, India

    Zone 10b · No frost · 15 chill hours · 46 in rainZone 10b · No frost · 15 chill hours · 1,177 mm rain

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

    97%match
  16. 16

    🇳🇵BirgañjMadhesh, Nepal

    Zone 10b · Frost 2 years in 10 · 37 chill hours · 58 in rainZone 10b · Frost 2 years in 10 · 37 chill hours · 1,473 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

    97%match
  17. 17

    🇮🇳DarbhangaBihar, India

    Zone 10b · Frost 1 years in 10 · 33 chill hours · 42 in rainZone 10b · Frost 1 years in 10 · 33 chill hours · 1,078 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: fig

    96%match
  18. 18

    🇮🇳BagahaBihar, India

    Zone 10b · Frost 2 years in 10 · 39 chill hours · 60 in rainZone 10b · Frost 2 years in 10 · 39 chill hours · 1,516 mm rain

    Shares 14 of your 16 great-fit crops

    96%match
  19. 19

    🇮🇳MothīhāriBihar, India

    Zone 10a · Frost 2 years in 10 · 47 chill hours · 48 in rainZone 10a · Frost 2 years in 10 · 47 chill hours · 1,223 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: fig

    96%match
  20. 20

    🇮🇳SītāmarhiBihar, India

    Zone 10a · Frost 2 years in 10 · 53 chill hours · 50 in rainZone 10a · Frost 2 years in 10 · 53 chill hours · 1,282 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: fig, canola (rapeseed)

    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 Kasba: 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.