Climatch

Land with a climate like Pīleru

🇮🇳Pīleru, Andhra Pradesh, India

The towns with the closest growing climate to Pīleru are Ambur, India (99% match), Krishnagiri and Dharmapuri. About 141,000 sq mi of land in 4 countries matches 80% or better, most of it in Andhra Pradesh, India, Tamil Nadu, India and Piauí, Brazil.The towns with the closest growing climate to Pīleru are Ambur, India (99% match), Krishnagiri and Dharmapuri. About 364,000 km² of land in 4 countries matches 80% or better, most of it in Andhra Pradesh, India, Tamil Nadu, India and Piauí, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 768 mm rain

What grows in Pīleru →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    45k sq mi118k km² matching 80% or better

    For example Kuppam (97), Kadiri (97)

  2. 2

    🇮🇳Tamil Nadu, India

    28k sq mi73k km² matching 80% or better

    For example Peranāmpattu (99), Ambur (99)

  3. 3

    🇧🇷Piauí, Brazil

    18k sq mi46k km² matching 80% or better

    For example Altos (84), Campo Maior (84)

  4. 4

    🇧🇷Maranhão, Brazil

    12k sq mi32k km² matching 80% or better

    For example Estreito (85), Parnarama (84)

  5. 5

    🇮🇳Karnataka, India

    10k sq mi27k km² matching 80% or better

    For example Bāgepalli (92), Kanakapura (90)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    8,900 sq mi23k km² matching 80% or better

    For example Kyaukse (87), Meiktila (86)

  7. 7

    🇲🇲Magway, Myanmar

    7,600 sq mi20k km² matching 80% or better

    For example Taungdwingyi (85), Magway (84)

  8. 8

    🇧🇷Ceará, Brazil

    3,300 sq mi8,500 km² matching 80% or better

    For example Farias Brito (84), Várzea Alegre (83)

  9. 9

    🇲🇲Sagaing Region, Myanmar

    1,700 sq mi4,300 km² matching 80% or better

    For example Sagaing (84), Monywa (80)

  10. 10

    🇹🇭Lampang, Thailand

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

    For example Thoen (83), Lampang (80)

  11. 11

    🇹🇭Tak, Thailand

    600 sq mi1,500 km² matching 80% or better

    For example Ban Tak (79), Tak (74)

  12. 12

    🇹🇭Sukhothai, Thailand

    300 sq mi700 km² matching 80% or better

    For example Sawankhalok (78), Si Satchanalai (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

    🇮🇳AmburTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 943 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳KrishnagiriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  3. 3

    🇮🇳DharmapuriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 982 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  4. 4

    🇮🇳KadiriAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 684 mm rain

    Shares 14 of your 16 great-fit crops

    97%match
  5. 5

    🇮🇳VelloreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,070 mm rain

    Shares 15 of your 16 great-fit crops

    95%match
  6. 6

    🇮🇳ChengamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,084 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  7. 7

    🇮🇳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

    94%match
  8. 8

    🇮🇳SalemTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 16 great-fit crops

    93%match
  9. 9

    🇮🇳Kanigiri UAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 820 mm rain

    Shares 15 of your 16 great-fit crops

    92%match
  10. 10

    🇮🇳BadvelAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 837 mm rain

    Shares 14 of your 16 great-fit crops

    92%match
  11. 11

    🇮🇳AtturTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,062 mm rain

    Shares 15 of your 16 great-fit crops

    92%match
  12. 12

    🇮🇳HindupurAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: table and raisin grapes

    91%match
  13. 13

    🇮🇳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 16 great-fit crops

    90%match
  14. 14

    🇮🇳KanakapuraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 832 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: table and raisin grapes, avocado

    90%match
  15. 15

    🇮🇳PolūrTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,158 mm rain

    Shares 15 of your 16 great-fit crops

    90%match
  16. 16

    🇮🇳UdumalaippettaiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 837 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: table and raisin grapes

    90%match
  17. 17

    🇮🇳TiruchengodeTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 899 mm rain

    Shares 15 of your 16 great-fit crops

    90%match
  18. 18

    🇮🇳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

    89%match
  19. 19

    🇮🇳RobertsonpetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 750 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: table and raisin grapes, canola (rapeseed), avocado

    88%match
  20. 20

    🇮🇳KanchipuramTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,225 mm rain

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

    88%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 Pīleru: 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.