Climatch

Land with a climate like Ichchāpuram

🇮🇳Ichchāpuram, Andhra Pradesh, India

The towns with the closest growing climate to Ichchāpuram are Bālugān, India (99% match), Puri and Parādīp Garh. About 99,000 sq mi of land in 10 countries matches 80% or better, most of it in Odisha, India, Andhra Pradesh, India and West Bengal, India.The towns with the closest growing climate to Ichchāpuram are Bālugān, India (99% match), Puri and Parādīp Garh. About 257,000 km² of land in 10 countries matches 80% or better, most of it in Odisha, India, Andhra Pradesh, India and West Bengal, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,418 mm rain

What grows in Ichchāpuram →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    18k sq mi47k km² matching 80% or better

    For example Bālugān (99), Bānapur (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    16k sq mi41k km² matching 80% or better

    For example Narasannapeta (99), Srikakulam (98)

  3. 3

    🇮🇳West Bengal, India

    11k sq mi27k km² matching 80% or better

    For example Kakdwip (93), Haldia (92)

  4. 4

    🇹🇿Lindi, Tanzania

    6,500 sq mi17k km² matching 80% or better

    For example Lindi (89), Kilwa Masoko (88)

  5. 5

    🇮🇩East Nusa Tenggara, Indonesia

    5,600 sq mi15k km² matching 80% or better

    For example Waingapu (82), Maumere (79)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    3,900 sq mi10k km² matching 80% or better

    For example Sātkhira (84), Phultala (81)

  7. 7

    🇹🇿Pwani, Tanzania

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

    For example Ikwiriri (84), Kibiti (78)

  8. 8

    🇹🇿Morogoro, Tanzania

    3,000 sq mi7,700 km² matching 80% or better

    For example Ifakara (82), Kidodi (72)

  9. 9

    🇲🇿Cabo Delgado Province, Mozambique

    2,900 sq mi7,600 km² matching 80% or better

    For example Mocímboa da Praia (85), Mocímboa (84)

  10. 10

    🇹🇭Sukhothai, Thailand

    2,300 sq mi5,900 km² matching 80% or better

    For example Sukhothai (82), Sawankhalok (80)

  11. 11

    🇧🇩Barisal Division, Bangladesh

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

    For example Natona (81), Mathba (79)

  12. 12

    🇮🇩West Nusa Tenggara, Indonesia

    900 sq mi2,300 km² matching 80% or better

    For example Bima (80), Taliwang (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

    🇮🇳BālugānOdisha, India

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,593 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇳PuriOdisha, India

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,591 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇳Parādīp GarhOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,586 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇳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 18 great-fit crops

    98%match
  5. 5

    🇮🇳JagatsinghapurOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,748 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  6. 6

    🇮🇳RasapūdipalemAndhra Pradesh, India

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

    Shares 16 of your 18 great-fit crops

    97%match
  7. 7

    🇮🇳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 18 great-fit crops

    96%match
  8. 8

    🇮🇳JataniOdisha, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,721 mm rain

    Shares 16 of your 18 great-fit crops

    95%match
  9. 9

    🇮🇳BugudaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,581 mm rain

    Shares 16 of your 18 great-fit crops

    94%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 18 great-fit crops

    93%match
  11. 11

    🇮🇳GunupurOdisha, India

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,637 mm rain

    Shares 16 of your 18 great-fit crops

    93%match
  12. 12

    🇮🇳BobbiliAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,417 mm rain

    Shares 17 of your 18 great-fit crops

    93%match
  13. 13

    🇮🇳ChodavaramAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,468 mm rain

    Shares 16 of your 18 great-fit crops

    92%match
  14. 14

    🇮🇳HaldiaWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,735 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    92%match
  15. 15

    🇮🇳ContaiWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,694 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    92%match
  16. 16

    🇮🇳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 18 great-fit crops

    89%match
  17. 17

    🇮🇳BalasoreOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,711 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: canola (rapeseed)

    89%match
  18. 18

    🇮🇳ChoudwarOdisha, India

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,779 mm rain

    Shares 16 of your 18 great-fit crops

    89%match
  19. 19

    🇹🇿Lindi↻Seasons flipped. Tanzania

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 876 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: table and raisin grapes

    89%match
  20. 20

    🇹🇿Mtwara↻Seasons flipped. Tanzania

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 970 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: macadamia

    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 Ichchāpuram: 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.