Climatch

Land with a climate like Nageswari

🇧🇩Nageswari, Rangpur Division, Bangladesh

The towns with the closest growing climate to Nageswari are Kokrajhar, India (99% match), Goālpāra and Saidpur. About 131,000 sq mi of land in 7 countries matches 80% or better, most of it in Assam, India, West Bengal, India and Kachin State, Myanmar.The towns with the closest growing climate to Nageswari are Kokrajhar, India (99% match), Goālpāra and Saidpur. About 339,000 km² of land in 7 countries matches 80% or better, most of it in Assam, India, West Bengal, India and Kachin State, Myanmar.

Your growing climate

Zone 11a · No frost · 0 chill hours · 121 in rainZone 11a · No frost · 0 chill hours · 3,062 mm rain

What grows in Nageswari →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    20k sq mi51k km² matching 80% or better

    For example Kokrajhar (99), Chāpar (99)

  2. 2

    🇮🇳West Bengal, India

    11k sq mi29k km² matching 80% or better

    For example Fālākāta (99), Jalpāiguri (98)

  3. 3

    🇲🇲Kachin State, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Mogaung (90), Hpākān (86)

  4. 4

    🇧🇩Chittagong, Bangladesh

    10k sq mi27k km² matching 80% or better

    For example Ashuganj City (95), Shāhbāzpur Town (94)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    9,300 sq mi24k km² matching 80% or better

    For example Tamu (87), Tatkon (86)

  6. 6

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Kishorganj (97), Sakhipur (96)

  7. 7

    🇧🇩Rajshahi Division, Bangladesh

    7,100 sq mi18k km² matching 80% or better

    For example Shibganj (96), Bogra (95)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Belonia (94), Bisālgarh (94)

  9. 9

    🇱🇦Bolikhamsai, Laos

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

    For example Pakxan (87), Borikhan (86)

  10. 10

    🇹🇭Bueng Kan, Thailand

    2,300 sq mi5,900 km² matching 80% or better

    For example Seka (86)

  11. 11

    🇹🇭Nong Khai, Thailand

    1,700 sq mi4,400 km² matching 80% or better

    For example Phon Charoen (87), Nong Khai (73)

  12. 12

    🇳🇵Koshi, Nepal

    1,600 sq mi4,200 km² matching 80% or better

    For example Bhadrapur (94), Īṭahari̇̄ (88)

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

    🇮🇳KokrajharAssam, India

    Zone 11a · No frost · 0 chill hours · 128 in rainZone 11a · No frost · 0 chill hours · 3,243 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇳GoālpāraAssam, India

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

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇩SaidpurRangpur Division, Bangladesh

    Zone 11a · No frost · 3 chill hours · 88 in rainZone 11a · No frost · 3 chill hours · 2,242 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: citrus, avocado

    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 17 of your 19 great-fit crops · Also great there: citrus, avocado

    99%match
  5. 5

    🇧🇩JamālpurMymensingh Division, Bangladesh

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

    Shares 16 of your 19 great-fit crops · Also great there: citrus, avocado

    98%match
  6. 6

    🇮🇳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
  7. 7

    🇮🇳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: citrus, avocado

    97%match
  8. 8

    🇧🇩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 19 great-fit crops · Also great there: citrus, avocado

    96%match
  9. 9

    🇧🇩ShibganjRajshahi Division, Bangladesh

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

    Shares 16 of your 19 great-fit crops · Also great there: citrus, avocado

    96%match
  10. 10

    🇮🇳WilliamnagarMeghalaya, India

    Zone 11a · No frost · 1 chill hours · 145 in rainZone 11a · No frost · 1 chill hours · 3,677 mm rain

    Shares 13 of your 19 great-fit crops · Also great there: potato

    95%match
  11. 11

    🇮🇳NaksalbāriWest Bengal, India

    Zone 11a · No frost · 2 chill hours · 117 in rainZone 11a · No frost · 2 chill hours · 2,972 mm rain

    Shares 15 of your 19 great-fit crops

    95%match
  12. 12

    🇧🇩SunāmganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 127 in rainZone 11a · No frost · 0 chill hours · 3,225 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: potato

    94%match
  13. 13

    🇮🇳GoyerkātaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 143 in rainZone 11a · No frost · 0 chill hours · 3,621 mm rain

    Shares 15 of your 19 great-fit crops

    94%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 19 of your 19 great-fit crops · Also great there: citrus, avocado

    94%match
  15. 15

    🇮🇳BisālgarhTripura, India

    Zone 11a · No frost · 0 chill hours · 81 in rainZone 11a · No frost · 0 chill hours · 2,065 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado

    94%match
  16. 16

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 19 of your 19 great-fit crops · Also great there: citrus, avocado

    93%match
  17. 17

    🇮🇳GuwahatiAssam, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,739 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: citrus, avocado

    93%match
  18. 18

    🇮🇳AgartalaTripura, India

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

    Shares 17 of your 19 great-fit crops · Also great there: citrus, avocado

    93%match
  19. 19

    🇮🇳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: citrus, avocado

    93%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: citrus, avocado

    93%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 Nageswari: 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.