Climatch

Land with a climate like Serchhīp

🇮🇳Serchhīp, Mizoram, India

The towns with the closest growing climate to Serchhīp are Churāchāndpur, India (98% match), Saiha and Tamenglong. About 158,000 sq mi of land in 12 countries matches 80% or better, most of it in Shan State, Myanmar, Kachin State, Myanmar and Yunnan, China.The towns with the closest growing climate to Serchhīp are Churāchāndpur, India (98% match), Saiha and Tamenglong. About 408,000 km² of land in 12 countries matches 80% or better, most of it in Shan State, Myanmar, Kachin State, Myanmar and Yunnan, China.

Your growing climate

Zone 10b · No frost · 16 chill hours · 96 in rainZone 10b · No frost · 16 chill hours · 2,431 mm rain

What grows in Serchhīp →

Regions with the most land like yours

  1. 1

    🇲🇲Shan State, Myanmar

    27k sq mi69k km² matching 80% or better

    For example Yawnghwe (88), Taunggyi (88)

  2. 2

    🇲🇲Kachin State, Myanmar

    16k sq mi40k km² matching 80% or better

    For example Hpākān (83), Danai (83)

  3. 3

    🇨🇳Yunnan, China

    12k sq mi31k km² matching 80% or better

    For example Taiping (89), Yingjiang (88)

  4. 4

    🇮🇳Mizoram, India

    10k sq mi27k km² matching 80% or better

    For example Saiha (98), Lawngtlai (97)

  5. 5

    🇮🇳Manipur, India

    8,400 sq mi22k km² matching 80% or better

    For example Churāchāndpur (98), Moirāng (97)

  6. 6

    🇮🇳Assam, India

    7,500 sq mi19k km² matching 80% or better

    For example Hāflong (92), Diphu (71)

  7. 7

    🇧🇷Minas Gerais, Brazil

    6,200 sq mi16k km² matching 80% or better

    For example Sacramento (82), Araxá (81)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    5,200 sq mi13k km² matching 80% or better

    For example Tamu (72), Tatkon (71)

  9. 9

    🇱🇦Loungnamtha, Laos

    2,800 sq mi7,200 km² matching 80% or better

    For example Muang Sing (73)

  10. 10

    🇻🇳Điện Biên Province, Vietnam

    2,500 sq mi6,500 km² matching 80% or better

    For example Mường Lay (69), Dien Bien Phu (59)

  11. 11

    🇳🇵Koshi, Nepal

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

    For example Khā̃dbāri̇̄ (87), Dhankutā (82)

  12. 12

    🇱🇦Xékong, Laos

    1,700 sq mi4,500 km² matching 80% or better

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

    🇮🇳ChurāchāndpurManipur, India

    Zone 10b · Frost 1 years in 10 · 73 chill hours · 83 in rainZone 10b · Frost 1 years in 10 · 73 chill hours · 2,099 mm rain

    Shares 20 of your 22 great-fit crops

    98%match
  2. 2

    🇮🇳SaihaMizoram, India

    Zone 11a · No frost · 0 chill hours · 120 in rainZone 11a · No frost · 0 chill hours · 3,044 mm rain

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

    98%match
  3. 3

    🇮🇳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

    94%match
  4. 4

    🇮🇳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

    94%match
  5. 5

    🇮🇳KiphireNagaland, India

    Zone 10a · Frost 4 years in 10 · 123 chill hours · 82 in rainZone 10a · Frost 4 years in 10 · 123 chill hours · 2,077 mm rain

    Shares 18 of your 22 great-fit crops

    93%match
  6. 6

    🇮🇳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

    92%match
  7. 7

    🇮🇳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: banana

    92%match
  8. 8

    🇮🇳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

    91%match
  9. 9

    🇲🇲YawnghweShan State, Myanmar

    Zone 10b · No frost · 18 chill hours · 64 in rainZone 10b · No frost · 18 chill hours · 1,632 mm rain

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

    88%match
  10. 10

    🇨🇳YingjiangYunnan, China

    Zone 10a · Frost 4 years in 10 · 157 chill hours · 61 in rainZone 10a · Frost 4 years in 10 · 157 chill hours · 1,539 mm rain

    Shares 18 of your 22 great-fit crops

    88%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

    87%match
  12. 12

    🇲🇲MogokMandalay Region, Myanmar

    Zone 10a · Frost 4 years in 10 · 192 chill hours · 96 in rainZone 10a · Frost 4 years in 10 · 192 chill hours · 2,437 mm rain

    Shares 16 of your 22 great-fit crops

    86%match
  13. 13

    🇮🇳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

    86%match
  14. 14

    🇧🇹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

    85%match
  15. 15

    🇮🇳TuensangNagaland, India

    Zone 10a · Frost 6 years in 10 · 221 chill hours · 86 in rainZone 10a · Frost 6 years in 10 · 221 chill hours · 2,177 mm rain

    Shares 16 of your 22 great-fit crops · Also great there: apple, blueberry

    84%match
  16. 16

    🇮🇳KohimaNagaland, India

    Zone 10a · Frost 6 years in 10 · 242 chill hours · 74 in rainZone 10a · Frost 6 years in 10 · 242 chill hours · 1,871 mm rain

    Shares 16 of your 22 great-fit crops · Also great there: blueberry, apple

    84%match
  17. 17

    🇲🇲Pyin Oo LwinMandalay Region, Myanmar

    Zone 10b · Frost 1 years in 10 · 65 chill hours · 59 in rainZone 10b · Frost 1 years in 10 · 65 chill hours · 1,509 mm rain

    Shares 20 of your 22 great-fit crops

    84%match
  18. 18

    🇲🇲LawksawkShan State, Myanmar

    Zone 10b · No frost · 41 chill hours · 81 in rainZone 10b · No frost · 41 chill hours · 2,067 mm rain

    Shares 21 of your 22 great-fit crops

    84%match
  19. 19

    🇲🇲HpākānKachin State, Myanmar

    Zone 10b · No frost · 12 chill hours · 98 in rainZone 10b · No frost · 12 chill hours · 2,500 mm rain

    Shares 19 of your 22 great-fit crops

    83%match
  20. 20

    🇲🇲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

    83%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 Serchhīp: 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.