Climatch

Land with a climate like Parādīp Garh

🇮🇳Parādīp Garh, Odisha, India

The towns with the closest growing climate to Parādīp Garh are Brahmapur, India (99% match), Puri and Bālugān. About 112,000 sq mi of land in 9 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Andhra Pradesh, India.The towns with the closest growing climate to Parādīp Garh are Brahmapur, India (99% match), Puri and Bālugān. About 289,000 km² of land in 9 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Andhra Pradesh, India.

Your growing climate

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

What grows in Parādīp Garh →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    24k sq mi62k km² matching 80% or better

    For example Pipili (99), Bānapur (99)

  2. 2

    🇮🇳West Bengal, India

    17k sq mi43k km² matching 80% or better

    For example Kakdwip (98), Haldia (98)

  3. 3

    🇮🇳Andhra Pradesh, India

    12k sq mi30k km² matching 80% or better

    For example Ichchāpuram (99), Sompeta (99)

  4. 4

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Sātkhira (92), Taluker Char Doani (89)

  5. 5

    🇹🇿Lindi, Tanzania

    5,900 sq mi15k km² matching 80% or better

    For example Lindi (85), Kilwa Masoko (83)

  6. 6

    🇧🇩Chittagong, Bangladesh

    5,500 sq mi14k km² matching 80% or better

    For example Chattogram (86), Raojān (86)

  7. 7

    🇧🇩Barisal Division, Bangladesh

    4,400 sq mi11k km² matching 80% or better

    For example Natona (90), Mathba (87)

  8. 8

    🇹🇿Morogoro, Tanzania

    3,300 sq mi8,400 km² matching 80% or better

    For example Ifakara (82), Kidodi (75)

  9. 9

    🇵🇭Ilocos, Philippines

    2,600 sq mi6,700 km² matching 80% or better

    For example Batac City (84), Laoag (83)

  10. 10

    🇮🇩East Nusa Tenggara, Indonesia

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

    For example Labuan Bajo (78), Waingapu (77)

  11. 11

    🇹🇿Mtwara, Tanzania

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

    For example Mtwara (86), Nanganga (74)

  12. 12

    🇹🇭Sukhothai, Thailand

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

    For example Sukhothai (82), Sawankhalok (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

    🇮🇳BrahmapurOdisha, India

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,520 mm rain

    Shares 17 of your 17 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 17 great-fit crops

    99%match
  3. 3

    🇮🇳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 17 great-fit crops

    99%match
  4. 4

    🇮🇳PolasaraOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,585 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  5. 5

    🇮🇳BhubaneswarOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,752 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  6. 6

    🇮🇳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 17 great-fit crops · Also great there: canola (rapeseed)

    98%match
  7. 7

    🇮🇳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 17 great-fit crops · Also great there: canola (rapeseed)

    97%match
  8. 8

    🇮🇳ParalakhemundiOdisha, India

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,556 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  9. 9

    🇮🇳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 17 great-fit crops · Also great there: canola (rapeseed)

    97%match
  10. 10

    🇮🇳BhadrakOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,756 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed)

    95%match
  11. 11

    🇮🇳JaleshwarOdisha, India

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,646 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed)

    95%match
  12. 12

    🇮🇳SoradaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,579 mm rain

    Shares 16 of your 17 great-fit crops

    94%match
  13. 13

    🇮🇳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 17 great-fit crops

    94%match
  14. 14

    🇮🇳BālugaonOdisha, India

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,548 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  15. 15

    🇮🇳SrikakulamAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,179 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: fig

    93%match
  16. 16

    🇮🇳Basirhat CityWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,713 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: barley

    92%match
  17. 17

    🇮🇳KolkataWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,736 mm rain

    Shares 16 of your 17 great-fit crops

    92%match
  18. 18

    🇮🇳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 17 great-fit crops · Also great there: fig

    92%match
  19. 19

    🇮🇳VizianagaramAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,271 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: fig

    92%match
  20. 20

    🇮🇳ByasanagarOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,701 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed)

    91%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 Parādīp Garh: 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.