Climatch

Land with a climate like Itanagar

🇮🇳Itanagar, Arunachal Pradesh, India

The towns with the closest growing climate to Itanagar are Tezu, India (99% match), Pāsighāt and Dibrugarh. About 129,000 sq mi of land in 10 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Arunachal Pradesh, India.The towns with the closest growing climate to Itanagar are Tezu, India (99% match), Pāsighāt and Dibrugarh. About 334,000 km² of land in 10 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Arunachal Pradesh, India.

Your growing climate

Zone 10b · No frost · 18 chill hours · 103 in rainZone 10b · No frost · 18 chill hours · 2,618 mm rain

What grows in Itanagar →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    32k sq mi83k km² matching 80% or better

    For example Margherita (99), Nāmrup (99)

  2. 2

    🇲🇲Kachin State, Myanmar

    17k sq mi43k km² matching 80% or better

    For example Danai (92), Myitkyina (86)

  3. 3

    🇮🇳Arunachal Pradesh, India

    5,000 sq mi13k km² matching 80% or better

    For example Tezu (99), Pāsighāt (99)

  4. 4

    🇮🇳Manipur, India

    4,900 sq mi13k km² matching 80% or better

    For example Imphal (93), Tamenglong (92)

  5. 5

    🇱🇦Oudômxai, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Xay (80)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    4,400 sq mi12k km² matching 80% or better

    For example Mường Lay (85), Dien Bien Phu (78)

  7. 7

    🇨🇳Guangdong, China

    4,200 sq mi11k km² matching 80% or better

    For example Xinyi (82), Yangchun (81)

  8. 8

    🇱🇦Luang Prabang Province, Laos

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

    For example Luang Prabang (65)

  9. 9

    🇧🇩Sylhet Division, Bangladesh

    3,500 sq mi9,100 km² matching 80% or better

    For example Maulavi Bāzār (85), Sylhet (84)

  10. 10

    🇱🇦Vientiane, Laos

    3,100 sq mi8,100 km² matching 80% or better

    For example Vang Vieng (77)

  11. 11

    🇹🇼Taiwan

    2,200 sq mi5,700 km² matching 80% or better

    For example Nantou (84), Zhushan (82)

  12. 12

    🇲🇲Sagaing Region, Myanmar

    2,200 sq mi5,600 km² matching 80% or better

    For example Tamu (77), Tatkon (76)

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

    🇮🇳TezuArunachal Pradesh, India

    Zone 10b · Frost 1 years in 10 · 43 chill hours · 94 in rainZone 10b · Frost 1 years in 10 · 43 chill hours · 2,382 mm rain

    Shares 19 of your 22 great-fit crops

    99%match
  2. 2

    🇮🇳PāsighātArunachal Pradesh, India

    Zone 10b · Frost 1 years in 10 · 30 chill hours · 86 in rainZone 10b · Frost 1 years in 10 · 30 chill hours · 2,194 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  3. 3

    🇮🇳DibrugarhAssam, India

    Zone 10b · No frost · 16 chill hours · 93 in rainZone 10b · No frost · 16 chill hours · 2,369 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    99%match
  4. 4

    🇮🇳SibsāgarAssam, India

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

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    99%match
  5. 5

    🇮🇳TinsukiaAssam, India

    Zone 10b · Frost 1 years in 10 · 21 chill hours · 91 in rainZone 10b · Frost 1 years in 10 · 21 chill hours · 2,305 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  6. 6

    🇮🇳MariāniAssam, India

    Zone 10b · No frost · 10 chill hours · 85 in rainZone 10b · No frost · 10 chill hours · 2,170 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    98%match
  7. 7

    🇮🇳MonNagaland, India

    Zone 10a · Frost 2 years in 10 · 74 chill hours · 95 in rainZone 10a · Frost 2 years in 10 · 74 chill hours · 2,409 mm rain

    Shares 17 of your 22 great-fit crops

    97%match
  8. 8

    🇳🇵IlāmKoshi, Nepal

    Zone 10b · No frost · 15 chill hours · 98 in rainZone 10b · No frost · 15 chill hours · 2,485 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    95%match
  9. 9

    🇮🇳JiningArunachal Pradesh, India

    Zone 10a · Frost 3 years in 10 · 67 chill hours · 87 in rainZone 10a · Frost 3 years in 10 · 67 chill hours · 2,216 mm rain

    Shares 19 of your 22 great-fit crops

    95%match
  10. 10

    🇧🇹TsirangTsirang District, Bhutan

    Zone 10b · Frost 1 years in 10 · 40 chill hours · 94 in rainZone 10b · Frost 1 years in 10 · 40 chill hours · 2,390 mm rain

    Shares 18 of your 22 great-fit crops

    94%match
  11. 11

    🇳🇵Khā̃dbāri̇̄Koshi, Nepal

    Zone 10b · Frost 1 years in 10 · 40 chill hours · 76 in rainZone 10b · Frost 1 years in 10 · 40 chill hours · 1,941 mm rain

    Shares 20 of your 22 great-fit crops

    94%match
  12. 12

    🇮🇳JaigaonWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 153 in rainZone 11a · No frost · 0 chill hours · 3,874 mm rain

    Shares 16 of your 22 great-fit crops

    93%match
  13. 13

    🇮🇳ImphalManipur, India

    Zone 10b · Frost 1 years in 10 · 58 chill hours · 95 in rainZone 10b · Frost 1 years in 10 · 58 chill hours · 2,419 mm rain

    Shares 17 of your 22 great-fit crops

    93%match
  14. 14

    🇮🇳HāflongAssam, India

    Zone 10b · Frost 1 years in 10 · 34 chill hours · 83 in rainZone 10b · Frost 1 years in 10 · 34 chill hours · 2,116 mm rain

    Shares 21 of your 22 great-fit crops

    93%match
  15. 15

    🇮🇳NongpohMeghalaya, India

    Zone 10b · No frost · 25 chill hours · 131 in rainZone 10b · No frost · 25 chill hours · 3,327 mm rain

    Shares 15 of your 22 great-fit crops

    92%match
  16. 16

    🇲🇲DanaiKachin State, Myanmar

    Zone 10b · No frost · 29 chill hours · 119 in rainZone 10b · No frost · 29 chill hours · 3,013 mm rain

    Shares 17 of your 22 great-fit crops

    92%match
  17. 17

    🇮🇳KolasibMizoram, India

    Zone 11a · No frost · 2 chill hours · 98 in rainZone 11a · No frost · 2 chill hours · 2,486 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: cassava

    92%match
  18. 18

    🇮🇳TezpurAssam, India

    Zone 11a · No frost · 1 chill hours · 75 in rainZone 11a · No frost · 1 chill hours · 1,910 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: cassava

    92%match
  19. 19

    🇮🇳TamenglongManipur, India

    Zone 10b · Frost 1 years in 10 · 40 chill hours · 95 in rainZone 10b · Frost 1 years in 10 · 40 chill hours · 2,420 mm rain

    Shares 20 of your 22 great-fit crops

    92%match
  20. 20

    🇮🇳NalbāriAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,234 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    91%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 Itanagar: 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.