Climatch

Land with a climate like Nidadavole

🇮🇳Nidadavole, Andhra Pradesh, India

The towns with the closest growing climate to Nidadavole are Nūzvīd, India (99% match), Tuni and Thenali. About 159,000 sq mi of land in 7 countries matches 80% or better, most of it in Andhra Pradesh, India, Telangana, India and Odisha, India.The towns with the closest growing climate to Nidadavole are Nūzvīd, India (99% match), Tuni and Thenali. About 411,000 km² of land in 7 countries matches 80% or better, most of it in Andhra Pradesh, India, Telangana, India and Odisha, India.

Your growing climate

Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,249 mm rain

What grows in Nidadavole →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    44k sq mi115k km² matching 80% or better

    For example Gudivāda (99), Vuyyūru (99)

  2. 2

    🇮🇳Telangana, India

    15k sq mi38k km² matching 80% or better

    For example Sathupalli (98), Sādpalli (98)

  3. 3

    🇮🇳Odisha, India

    5,400 sq mi14k km² matching 80% or better

    For example Malakanagiri (92), Paralakhemundi (91)

  4. 4

    🇰🇭Preah Vihear, Cambodia

    4,400 sq mi11k km² matching 80% or better

    For example Tbeng Meanchey (85)

  5. 5

    🇰🇭Ŏtâr Méanchey, Cambodia

    4,300 sq mi11k km² matching 80% or better

    For example Anlong Veaeng (85), Samraong (80)

  6. 6

    🇰🇭Kampong Thom, Cambodia

    3,800 sq mi9,800 km² matching 80% or better

    For example Phumĭ Tnaôt (84), Kampong Thom (79)

  7. 7

    🇦🇺Northern Territory, Australia

    2,300 sq mi6,100 km² matching 80% or better

    For example Darwin (76), Palmerston (73)

  8. 8

    🇮🇩East Nusa Tenggara, Indonesia

    1,800 sq mi4,600 km² matching 80% or better

    For example Waingapu (82), Lewoleba (80)

  9. 9

    🇹🇭Kamphaeng Phet, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Kamphaeng Phet (80), Khanu Woralaksaburi (80)

  10. 10

    🇹🇭Phitsanulok, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Bang Krathum (84), Bang Rakam (83)

  11. 11

    🇹🇭Phichit, Thailand

    1,100 sq mi3,000 km² matching 80% or better

    For example Phichit (84), Taphan Hin (82)

  12. 12

    🇹🇿Pwani, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Ikwiriri (68), Kibiti (54)

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

    🇮🇳NūzvīdAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳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 16 great-fit crops

    98%match
  3. 3

    🇮🇳ThenaliAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,046 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  4. 4

    🇮🇳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

    98%match
  5. 5

    🇮🇳VijayawadaAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,014 mm rain

    Shares 14 of your 16 great-fit crops

    97%match
  6. 6

    🇮🇳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 16 great-fit crops

    96%match
  7. 7

    🇮🇳MachilīpatnamAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,137 mm rain

    Shares 14 of your 16 great-fit crops

    96%match
  8. 8

    🇮🇳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

    96%match
  9. 9

    🇮🇳KodārTelangana, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,034 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  10. 10

    🇮🇳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

    93%match
  11. 11

    🇮🇳PalwanchaTelangana, India

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

    Shares 16 of your 16 great-fit crops

    93%match
  12. 12

    🇮🇳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 16 great-fit crops

    93%match
  13. 13

    🇮🇳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

    93%match
  14. 14

    🇮🇳RasapūdipalemAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,171 mm rain

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

    92%match
  15. 15

    🇮🇳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 16 great-fit crops

    92%match
  16. 16

    🇮🇳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 16 great-fit crops

    92%match
  17. 17

    🇮🇳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

    92%match
  18. 18

    🇮🇳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

    91%match
  19. 19

    🇮🇳ManuguruTelangana, India

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

    Shares 15 of your 16 great-fit crops

    90%match
  20. 20

    🇮🇳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

    89%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 Nidadavole: 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.