Climatch

Land with a climate like Srīnivāspur

🇮🇳Srīnivāspur, Karnataka, India

The towns with the closest growing climate to Srīnivāspur are Closepet, India (99% match), Mūkondapalli and Bengaluru. About 106,000 sq mi of land in 7 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Mandalay Region, Myanmar.The towns with the closest growing climate to Srīnivāspur are Closepet, India (99% match), Mūkondapalli and Bengaluru. About 274,000 km² of land in 7 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Mandalay Region, Myanmar.

Your growing climate

Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 691 mm rain

What grows in Srīnivāspur →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    36k sq mi93k km² matching 80% or better

    For example Kunigal (99), Nelamangala (99)

  2. 2

    🇧🇷Piauí, Brazil

    8,600 sq mi22k km² matching 80% or better

    For example Inhuma (87), Valença do Piauí (84)

  3. 3

    🇲🇲Mandalay Region, Myanmar

    8,400 sq mi22k km² matching 80% or better

    For example Kyaukpadaung (85), Meiktila (82)

  4. 4

    🇮🇳Andhra Pradesh, India

    7,200 sq mi19k km² matching 80% or better

    For example Gorantla (94), Hindupur (93)

  5. 5

    🇮🇳Tamil Nadu, India

    6,400 sq mi17k km² matching 80% or better

    For example Mūkondapalli (99), Jūjūvādi (99)

  6. 6

    🇲🇲Magway, Myanmar

    5,900 sq mi15k km² matching 80% or better

    For example Taungdwingyi (80), Magway (77)

  7. 7

    🇹🇭Lampang, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Thoen (79), Lampang (79)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    3,900 sq mi10k km² matching 80% or better

    For example Ye-u (80), Sagaing (80)

  9. 9

    🇹🇿Lindi, Tanzania

    3,800 sq mi9,900 km² matching 80% or better

    For example Nachingwea (87), Ruangwa (84)

  10. 10

    🇧🇷Ceará, Brazil

    3,600 sq mi9,200 km² matching 80% or better

    For example Santana do Cariri (83), Nova Olinda (81)

  11. 11

    🇧🇷Maranhão, Brazil

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

    For example Buriti Bravo (79), Estreito (79)

  12. 12

    🇹🇭Lamphun, Thailand

    1,700 sq mi4,400 km² matching 80% or better

    For example Pa Sang (84), Lamphun (82)

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

    🇮🇳ClosepetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 812 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: sugarcane

    99%match
  2. 2

    🇮🇳MūkondapalliTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 861 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: sugarcane

    99%match
  3. 3

    🇮🇳BengaluruKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 914 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: sugarcane

    98%match
  4. 4

    🇮🇳TumkūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 786 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: sugarcane

    98%match
  5. 5

    🇮🇳GauribidanurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 757 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: sugarcane

    97%match
  6. 6

    🇮🇳MandyaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 776 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: sugarcane

    96%match
  7. 7

    🇮🇳TiptūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 615 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  8. 8

    🇮🇳ChamrajnagarKarnataka, India

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 717 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  9. 9

    🇮🇳GorantlaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  10. 10

    🇮🇳ChannarāyapatnaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 658 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  11. 11

    🇮🇳SīraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 14 of your 19 great-fit crops

    92%match
  12. 12

    🇮🇳DavangereKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 668 mm rain

    Shares 15 of your 19 great-fit crops

    90%match
  13. 13

    🇮🇳PāvugadaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 13 of your 19 great-fit crops

    89%match
  14. 14

    🇮🇳HunsūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 903 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: sugarcane

    89%match
  15. 15

    🇮🇳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 19 great-fit crops · Also great there: sugarcane

    89%match
  16. 16

    🇮🇳ChitradurgaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 614 mm rain

    Shares 14 of your 19 great-fit crops

    88%match
  17. 17

    🇮🇳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 19 great-fit crops

    87%match
  18. 18

    🇮🇳TirumalaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,074 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: sugarcane, macadamia, potato

    86%match
  19. 19

    🇮🇳KrishnagiriTamil Nadu, India

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

    Shares 14 of your 19 great-fit crops · Also great there: sugarcane

    86%match
  20. 20

    🇭🇳MorocelíEl Paraíso Department, Honduras

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 711 mm rain

    Shares 16 of your 19 great-fit crops

    86%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 Srīnivāspur: 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.