Climatch

Land with a climate like Nūzvīd

🇮🇳Nūzvīd, Andhra Pradesh, India

The towns with the closest growing climate to Nūzvīd are Narasaraopet, India (99% match), Challapalle and Rajamahendravaram. About 132,000 sq mi of land in 6 countries matches 80% or better, most of it in Andhra Pradesh, India, Telangana, India and Piauí, Brazil.The towns with the closest growing climate to Nūzvīd are Narasaraopet, India (99% match), Challapalle and Rajamahendravaram. About 341,000 km² of land in 6 countries matches 80% or better, most of it in Andhra Pradesh, India, Telangana, India and Piauí, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,116 mm rain

What grows in Nūzvīd →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    49k sq mi128k km² matching 80% or better

    For example Phirangipuram (99), Sattenapalle (99)

  2. 2

    🇮🇳Telangana, India

    20k sq mi52k km² matching 80% or better

    For example Kodār (97), Palwancha (96)

  3. 3

    🇧🇷Piauí, Brazil

    6,500 sq mi17k km² matching 80% or better

    For example Demerval Lobão (84), Campo Maior (80)

  4. 4

    🇧🇷Maranhão, Brazil

    4,500 sq mi12k km² matching 80% or better

    For example Caxias (82), Parnarama (82)

  5. 5

    🇹🇿Mtwara, Tanzania

    3,200 sq mi8,400 km² matching 80% or better

    For example Nanganga (83), Nangomba (83)

  6. 6

    🇮🇳Chhattisgarh, India

    2,600 sq mi6,600 km² matching 80% or better

    For example Jūnāgarh (79), Bījāpur (75)

  7. 7

    🇲🇲Magway, Myanmar

    1,100 sq mi2,900 km² matching 80% or better

    For example Magway (82), Thayetmyo (81)

  8. 8

    🇮🇩East Nusa Tenggara, Indonesia

    900 sq mi2,300 km² matching 80% or better

    For example Waingapu (78), Lewoleba (76)

  9. 9

    🇹🇿Morogoro, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Ifakara (67), Kidodi (58)

  10. 10

    🇦🇺Northern Territory, Australia

    600 sq mi1,500 km² matching 80% or better

    For example Darwin (60), Palmerston (59)

  11. 11

    🇲🇲Mandalay Region, Myanmar

    300 sq mi700 km² matching 80% or better

    For example Mandalay (80), Amarapura (80)

  12. 12

    🇲🇲Sagaing Region, Myanmar

    300 sq mi700 km² matching 80% or better

    For example Monywa (80), Sagaing (79)

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

    🇮🇳NarasaraopetAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 967 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳ChallapalleAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,159 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  3. 3

    🇮🇳RajamahendravaramAndhra Pradesh, India

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

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    98%match
  4. 4

    🇮🇳BhimavaramAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,185 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    96%match
  5. 5

    🇮🇳PalwanchaTelangana, India

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,201 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    96%match
  6. 6

    🇮🇳DarsiAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 841 mm rain

    Shares 15 of your 15 great-fit crops

    95%match
  7. 7

    🇮🇳KhammamTelangana, India

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,139 mm rain

    Shares 15 of your 15 great-fit crops

    95%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 15 great-fit crops

    95%match
  9. 9

    🇮🇳ChīrālaAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 961 mm rain

    Shares 15 of your 15 great-fit crops

    95%match
  10. 10

    🇮🇳TuniAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,217 mm rain

    Shares 15 of your 15 great-fit crops

    94%match
  11. 11

    🇮🇳AmalāpuramAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 52 in rainZone 12b · No frost · 0 chill hours · 1,327 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    94%match
  12. 12

    🇮🇳GiddalūrAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

    Shares 15 of your 15 great-fit crops

    93%match
  13. 13

    🇮🇳ManuguruTelangana, India

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,392 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    93%match
  14. 14

    🇮🇳RampachodavaramAndhra Pradesh, India

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

    Shares 15 of your 15 great-fit crops · Also great there: date palm, wheat

    93%match
  15. 15

    🇮🇳MārkāpurAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 30 in rainZone 12b · No frost · 0 chill hours · 754 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  16. 16

    🇮🇳MācherlaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 765 mm rain

    Shares 14 of your 15 great-fit crops

    92%match
  17. 17

    🇮🇳RayachotiAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 694 mm rain

    Shares 14 of your 15 great-fit crops

    92%match
  18. 18

    🇮🇳VizianagaramAndhra Pradesh, India

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

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    91%match
  19. 19

    🇮🇳MahbūbābādTelangana, India

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,204 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: date palm

    91%match
  20. 20

    🇮🇳MalakanagiriOdisha, India

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

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    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 Nūzvīd: 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.