Climatch

Land with a climate like Rangāpāra

🇮🇳Rangāpāra, Assam, India

The towns with the closest growing climate to Rangāpāra are Barpeta, India (99% match), Mangaldai and Guwahati. About 185,000 sq mi of land in 9 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.The towns with the closest growing climate to Rangāpāra are Barpeta, India (99% match), Mangaldai and Guwahati. About 480,000 km² of land in 9 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.

Your growing climate

Zone 11a · No frost · 1 chill hours · 86 in rainZone 11a · No frost · 1 chill hours · 2,187 mm rain

What grows in Rangāpāra →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    31k sq mi80k km² matching 80% or better

    For example Tangla (99), Barpeta (99)

  2. 2

    🇲🇲Kachin State, Myanmar

    16k sq mi42k km² matching 80% or better

    For example Myitkyina (96), Mogaung (94)

  3. 3

    🇮🇳West Bengal, India

    14k sq mi37k km² matching 80% or better

    For example Hāsimāra (97), Birpara (97)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    10k sq mi27k km² matching 80% or better

    For example Tamu (89), Tatkon (88)

  5. 5

    🇧🇩Chittagong, Bangladesh

    9,600 sq mi25k km² matching 80% or better

    For example Shāhbāzpur Town (96), Brāhmanbāria (96)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Kālīganj (92), Kushtia (92)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (96), Bhairab Bāzār (95)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Dharmanagar (97), Kailāshahar (97)

  9. 9

    🇱🇦Bokeo, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Ban Khoan (80), Ban Houakhoua (80)

  10. 10

    🇱🇦Vientiane, Laos

    3,700 sq mi9,500 km² matching 80% or better

    For example Vang Vieng (86)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Luang Prabang (81)

  12. 12

    🇹🇭Loei, Thailand

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

    For example Loei (79), Wang Saphung (77)

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

    🇮🇳BarpetaAssam, India

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

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    99%match
  2. 2

    🇮🇳MangaldaiAssam, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,696 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    99%match
  3. 3

    🇮🇳GuwahatiAssam, India

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

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    99%match
  4. 4

    🇮🇳JorhatAssam, India

    Zone 10b · No frost · 9 chill hours · 91 in rainZone 10b · No frost · 9 chill hours · 2,299 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, macadamia

    98%match
  5. 5

    🇮🇳NaharlagunArunachal Pradesh, India

    Zone 10b · No frost · 8 chill hours · 107 in rainZone 10b · No frost · 8 chill hours · 2,718 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: potato, macadamia

    98%match
  6. 6

    🇮🇳SilcharAssam, India

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,336 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  7. 7

    🇮🇳DharmanagarTripura, India

    Zone 11a · No frost · 0 chill hours · 91 in rainZone 11a · No frost · 0 chill hours · 2,318 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    97%match
  8. 8

    🇮🇳BongaigaonAssam, India

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

    Shares 17 of your 20 great-fit crops · Also great there: potato

    97%match
  9. 9

    🇧🇩HabiganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 95 in rainZone 11a · No frost · 0 chill hours · 2,402 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    97%match
  10. 10

    🇮🇳HojāiAssam, India

    Zone 10b · No frost · 5 chill hours · 58 in rainZone 10b · No frost · 5 chill hours · 1,466 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: fig

    97%match
  11. 11

    🇮🇳DimāpurNagaland, India

    Zone 10b · No frost · 11 chill hours · 62 in rainZone 10b · No frost · 11 chill hours · 1,581 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  12. 12

    🇮🇳SibsāgarAssam, India

    Zone 10b · No frost · 10 chill hours · 94 in rainZone 10b · No frost · 10 chill hours · 2,387 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: potato, macadamia

    96%match
  13. 13

    🇮🇳North LakhimpurAssam, India

    Zone 10b · No frost · 11 chill hours · 118 in rainZone 10b · No frost · 11 chill hours · 2,991 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: potato

    96%match
  14. 14

    🇮🇳BilāsipāraAssam, India

    Zone 11a · No frost · 0 chill hours · 121 in rainZone 11a · No frost · 0 chill hours · 3,081 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  15. 15

    🇲🇲MyitkyinaKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 72 in rainZone 11a · No frost · 2 chill hours · 1,819 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: macadamia

    96%match
  16. 16

    🇧🇩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 20 great-fit crops · Also great there: potato

    95%match
  17. 17

    🇮🇳AgartalaTripura, India

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

    Shares 19 of your 20 great-fit crops

    95%match
  18. 18

    🇧🇩KishorganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,331 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    95%match
  19. 19

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 20 of your 20 great-fit crops · Also great there: macadamia

    94%match
  20. 20

    🇮🇳ResubelparaMeghalaya, India

    Zone 11a · No frost · 0 chill hours · 118 in rainZone 11a · No frost · 0 chill hours · 2,992 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: macadamia

    94%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 Rangāpāra: 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.