Climatch

Land with a climate like Chhātāpur

🇮🇳Chhātāpur, Bihar, India

The towns with the closest growing climate to Chhātāpur are Katihar, India (99% match), Rāiganj and Lahān. About 111,000 sq mi of land in 4 countries matches 80% or better, most of it in Bihar, India, West Bengal, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Chhātāpur are Katihar, India (99% match), Rāiganj and Lahān. About 288,000 km² of land in 4 countries matches 80% or better, most of it in Bihar, India, West Bengal, India and Sagaing Region, Myanmar.

Your growing climate

Zone 10b · No frost · 17 chill hours · 61 in rainZone 10b · No frost · 17 chill hours · 1,549 mm rain

What grows in Chhātāpur →

Regions with the most land like yours

  1. 1

    🇮🇳Bihar, India

    27k sq mi70k km² matching 80% or better

    For example Katihar (99), Manihāri (99)

  2. 2

    🇮🇳West Bengal, India

    20k sq mi53k km² matching 80% or better

    For example Dalkola (99), Rāiganj (99)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    15k sq mi39k km² matching 80% or better

    For example Mawlaik (86), Kyauktan (84)

  4. 4

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Mohammadpur (97), Shibganj (97)

  5. 5

    🇲🇲Kachin State, Myanmar

    6,300 sq mi16k km² matching 80% or better

    For example Mogaung (86), Bhamo (85)

  6. 6

    🇮🇳Uttar Pradesh, India

    6,100 sq mi16k km² matching 80% or better

    For example Nichlaul (95), Khada (94)

  7. 7

    🇧🇩Rangpur Division, Bangladesh

    5,100 sq mi13k km² matching 80% or better

    For example Pīrgaaj (98), Dinajpur (97)

  8. 8

    🇧🇩Mymensingh Division, Bangladesh

    3,800 sq mi9,800 km² matching 80% or better

    For example Sarishābāri (87), Jamālpur (87)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Lahān (99), Siraha (99)

  10. 10

    🇳🇵Koshi, Nepal

    2,100 sq mi5,500 km² matching 80% or better

    For example Bhadrapur (92), Ilām (71)

  11. 11

    🇳🇵Bagmati Province, Nepal

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

    For example Bharatpur (92), Hetauda (73)

  12. 12

    🇲🇲Mandalay Region, Myanmar

    500 sq mi1,400 km² matching 80% or better

    For example Madaya (59)

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

    🇮🇳KatiharBihar, India

    Zone 10b · No frost · 16 chill hours · 57 in rainZone 10b · No frost · 16 chill hours · 1,442 mm rain

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

    99%match
  2. 2

    🇮🇳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 16 great-fit crops · Also great there: avocado

    99%match
  3. 3

    🇳🇵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)

    99%match
  4. 4

    🇮🇳NaugachhiaBihar, India

    Zone 10b · Frost 1 years in 10 · 22 chill hours · 50 in rainZone 10b · Frost 1 years in 10 · 22 chill hours · 1,271 mm rain

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

    99%match
  5. 5

    🇮🇳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 16 great-fit crops · Also great there: avocado

    99%match
  6. 6

    🇮🇳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
  7. 7

    🇮🇳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

    98%match
  8. 8

    🇳🇵JanakpurMadhesh, Nepal

    Zone 10a · Frost 2 years in 10 · 54 chill hours · 55 in rainZone 10a · Frost 2 years in 10 · 54 chill hours · 1,401 mm rain

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

    97%match
  9. 9

    🇳🇵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
  10. 10

    🇧🇩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

    97%match
  11. 11

    🇮🇳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)

    97%match
  12. 12

    🇮🇳BālurghātWest Bengal, India

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

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

    97%match
  13. 13

    🇧🇩DinajpurRangpur Division, Bangladesh

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

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

    97%match
  14. 14

    🇮🇳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
  15. 15

    🇮🇳BettiahBihar, India

    Zone 10b · Frost 2 years in 10 · 39 chill hours · 50 in rainZone 10b · Frost 2 years in 10 · 39 chill hours · 1,270 mm rain

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

    96%match
  16. 16

    🇮🇳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

    95%match
  17. 17

    🇧🇩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

    95%match
  18. 18

    🇧🇩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

    95%match
  19. 19

    🇮🇳RoseraBihar, India

    Zone 10b · Frost 2 years in 10 · 34 chill hours · 44 in rainZone 10b · Frost 2 years in 10 · 34 chill hours · 1,120 mm rain

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

    95%match
  20. 20

    🇮🇳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

    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 Chhātāpur: 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.