Climatch

Land with a climate like Jalārpet

🇮🇳Jalārpet, Tamil Nadu, India

The towns with the closest growing climate to Jalārpet are Chittoor, India (99% match), Pīleru and Attur. About 161,000 sq mi of land in 11 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Maranhão, Brazil.The towns with the closest growing climate to Jalārpet are Chittoor, India (99% match), Pīleru and Attur. About 418,000 km² of land in 11 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Maranhão, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 957 mm rain

What grows in Jalārpet →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    36k sq mi93k km² matching 80% or better

    For example Pennāgaram (99), Vazhapadi (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    34k sq mi89k km² matching 80% or better

    For example Pākāla (99), Chittoor (99)

  3. 3

    🇧🇷Maranhão, Brazil

    25k sq mi66k km² matching 80% or better

    For example Estreito (89), Parnarama (88)

  4. 4

    🇧🇷Piauí, Brazil

    18k sq mi46k km² matching 80% or better

    For example Regeneração (88), Demerval Lobão (88)

  5. 5

    🇮🇳Karnataka, India

    5,800 sq mi15k km² matching 80% or better

    For example Kanakapura (88), Bāgepalli (85)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    4,500 sq mi12k km² matching 80% or better

    For example Yamethin (85), Kyaukse (85)

  7. 7

    🇹🇭Sukhothai, Thailand

    2,900 sq mi7,400 km² matching 80% or better

    For example Sawankhalok (84), Si Satchanalai (84)

  8. 8

    🇻🇪Anzoátegui, Venezuela

    2,400 sq mi6,100 km² matching 80% or better

    For example Aragua de Barcelona (80), Lecherías (77)

  9. 9

    🇨🇴Magdalena Department, Colombia

    2,400 sq mi6,100 km² matching 80% or better

    For example Fundación (83), Aracataca (83)

  10. 10

    🇨🇴La Guajira Department, Colombia

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

    For example Fonseca (87), Barrancas (85)

  11. 11

    🇻🇪Falcón, Venezuela

    2,100 sq mi5,300 km² matching 80% or better

    For example Mene de Mauroa (82), Dabajuro (81)

  12. 12

    🇰🇭Pursat, Cambodia

    1,800 sq mi4,500 km² matching 80% or better

    For example Pursat (80)

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

    🇮🇳ChittoorAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,015 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳PīleruAndhra Pradesh, India

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

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

    99%match
  3. 3

    🇮🇳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 15 great-fit crops

    98%match
  4. 4

    🇮🇳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 15 great-fit crops

    98%match
  5. 5

    🇮🇳RānipetTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,127 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  6. 6

    🇮🇳TirupatiAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,012 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  7. 7

    🇮🇳Karumāndi ChellipālaiyamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 788 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  8. 8

    🇮🇳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 15 great-fit crops

    96%match
  9. 9

    🇮🇳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 15 great-fit crops · Also great there: table and raisin grapes

    94%match
  10. 10

    🇮🇳ErodeTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 33 in rainZone 13a · No frost · 0 chill hours · 844 mm rain

    Shares 15 of your 15 great-fit crops

    94%match
  11. 11

    🇮🇳KallakurichiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,175 mm rain

    Shares 15 of your 15 great-fit crops

    94%match
  12. 12

    🇮🇳TirukkoyilurTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,241 mm rain

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

    94%match
  13. 13

    🇮🇳SathyamangalamTamil Nadu, India

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

    Shares 15 of your 15 great-fit crops

    94%match
  14. 14

    🇮🇳MadanapalleAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 692 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: table and raisin grapes, wheat, canola (rapeseed)

    93%match
  15. 15

    🇮🇳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 15 great-fit crops · Also great there: banana

    93%match
  16. 16

    🇮🇳CoimbatoreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 995 mm rain

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

    93%match
  17. 17

    🇮🇳VandavāsiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,212 mm rain

    Shares 15 of your 15 great-fit crops

    93%match
  18. 18

    🇮🇳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 15 great-fit crops

    93%match
  19. 19

    🇮🇳PerambalurTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,087 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  20. 20

    🇮🇳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

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 Jalārpet: 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.