Climatch

Land with a climate like Narsīpatnam

🇮🇳Narsīpatnam, Andhra Pradesh, India

The towns with the closest growing climate to Narsīpatnam are Vizianagaram, India (99% match), Rampachodavaram and Bobbili. About 328,000 sq mi of land in 15 countries matches 80% or better, most of it in Andhra Pradesh, India, Odisha, India and Telangana, India.The towns with the closest growing climate to Narsīpatnam are Vizianagaram, India (99% match), Rampachodavaram and Bobbili. About 849,000 km² of land in 15 countries matches 80% or better, most of it in Andhra Pradesh, India, Odisha, India and Telangana, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,420 mm rain

What grows in Narsīpatnam →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    38k sq mi98k km² matching 80% or better

    For example Gokavaram (99), Rāzām (99)

  2. 2

    🇮🇳Odisha, India

    24k sq mi62k km² matching 80% or better

    For example Paralakhemundi (99), Gunupur (98)

  3. 3

    🇮🇳Telangana, India

    9,700 sq mi25k km² matching 80% or better

    For example Sathupalli (92), Sādpalli (92)

  4. 4

    🇧🇷Maranhão, Brazil

    6,800 sq mi18k km² matching 80% or better

    For example Parnarama (81), Colinas (80)

  5. 5

    🇲🇲Magway, Myanmar

    6,800 sq mi17k km² matching 80% or better

    For example Thayetmyo (86), Myaydo (84)

  6. 6

    🇰🇭Ratanakiri, Cambodia

    6,400 sq mi17k km² matching 80% or better

    For example Lumphat (88), Banlung (83)

  7. 7

    🇹🇭Nakhon Ratchasima, Thailand

    6,400 sq mi16k km² matching 80% or better

    For example Nakhon Ratchasima (90), Bua Yai (89)

  8. 8

    🇰🇭Kampong Thom, Cambodia

    5,200 sq mi14k km² matching 80% or better

    For example Phumĭ Tnaôt (90), Kampong Thom (86)

  9. 9

    🇰🇭Stung Treng, Cambodia

    5,200 sq mi14k km² matching 80% or better

    For example Stung Treng (90)

  10. 10

    🇹🇭Kanchanaburi, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Tha Maka (86), Tha Muang (86)

  11. 11

    🇹🇭Ubon Ratchathani, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Ubon Ratchathani (87), Det Udom (87)

  12. 12

    🇱🇦Savannakhet Province, Laos

    4,600 sq mi12k km² matching 80% or better

    For example Ban Kèngkok (82), Savannakhet (81)

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

    🇮🇳VizianagaramAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,271 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳RampachodavaramAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,472 mm rain

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

    99%match
  3. 3

    🇮🇳BobbiliAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,417 mm rain

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

    99%match
  4. 4

    🇮🇳ParalakhemundiOdisha, India

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,556 mm rain

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

    99%match
  5. 5

    🇮🇳RajamahendravaramAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 50 in rainZone 12b · No frost · 0 chill hours · 1,280 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  6. 6

    🇮🇳GunupurOdisha, India

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,637 mm rain

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

    98%match
  7. 7

    🇮🇳SrikakulamAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,179 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  8. 8

    🇮🇳KākinādaAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,157 mm rain

    Shares 15 of your 16 great-fit crops

    96%match
  9. 9

    🇮🇳MalakanagiriOdisha, India

    Zone 11b · No frost · 0 chill hours · 71 in rainZone 11b · No frost · 0 chill hours · 1,813 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  10. 10

    🇰🇭Siem ReapCambodia

    Zone 12b · No frost · 0 chill hours · 53 in rainZone 12b · No frost · 0 chill hours · 1,342 mm rain

    Shares 14 of your 16 great-fit crops

    93%match
  11. 11

    🇮🇳RāyagadaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,574 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    93%match
  12. 12

    🇮🇳BhanjanagarOdisha, India

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,543 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    93%match
  13. 13

    🇮🇳BānapurOdisha, India

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,594 mm rain

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

    92%match
  14. 14

    🇰🇭Tbeng MeancheyPreah Vihear, Cambodia

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,645 mm rain

    Shares 13 of your 16 great-fit crops

    92%match
  15. 15

    🇮🇳SathupalliTelangana, India

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,244 mm rain

    Shares 16 of your 16 great-fit crops

    92%match
  16. 16

    🇹🇭PhichitThailand

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,156 mm rain

    Shares 14 of your 16 great-fit crops

    92%match
  17. 17

    🇹🇭TakThailand

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

    Shares 15 of your 16 great-fit crops

    92%match
  18. 18

    🇮🇳EluruAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,166 mm rain

    Shares 16 of your 16 great-fit crops

    92%match
  19. 19

    🇮🇳BhubaneswarOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,752 mm rain

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

    91%match
  20. 20

    🇹🇭Ban NaSukhothai, Thailand

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,101 mm rain

    Shares 15 of your 16 great-fit crops

    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 Narsīpatnam: 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.