Climatch

Land with a climate like Pipili

🇮🇳Pipili, Odisha, India

The towns with the closest growing climate to Pipili are Parādīp Garh, India (99% match), Polasara and Brahmapur. About 191,000 sq mi of land in 12 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 Pipili are Parādīp Garh, India (99% match), Polasara and Brahmapur. About 495,000 km² of land in 12 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 · 68 in rainZone 11b · No frost · 0 chill hours · 1,720 mm rain

What grows in Pipili →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    30k sq mi78k km² matching 80% or better

    For example Bānapur (99), Patāmundai (99)

  2. 2

    🇮🇳West Bengal, India

    23k sq mi59k km² matching 80% or better

    For example Haldia (98), Egra (98)

  3. 3

    🇮🇳Andhra Pradesh, India

    14k sq mi37k km² matching 80% or better

    For example Ichchāpuram (98), Palāsa (97)

  4. 4

    🇧🇩Chittagong, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Rangamati (90), Chattogram (90)

  5. 5

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Sātkhira (93), Kesabpur (90)

  6. 6

    🇹🇭Nakhon Ratchasima, Thailand

    6,400 sq mi16k km² matching 80% or better

    For example Khon Buri (85), Chok Chai (84)

  7. 7

    🇧🇩Rajshahi Division, Bangladesh

    5,200 sq mi13k km² matching 80% or better

    For example Pābna (84), Rajshahi (83)

  8. 8

    🇹🇿Lindi, Tanzania

    4,400 sq mi11k km² matching 80% or better

    For example Lindi (82), Nyangao (79)

  9. 9

    🇱🇦Savannakhet Province, Laos

    3,700 sq mi9,600 km² matching 80% or better

    For example Ban Xénô (81), Savannakhet (80)

  10. 10

    🇹🇭Buriram, Thailand

    3,500 sq mi9,000 km² matching 80% or better

    For example Nang Rong (84), Prakhon Chai (84)

  11. 11

    🇹🇿Morogoro, Tanzania

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

    For example Ifakara (81), Kidodi (75)

  12. 12

    🇹🇭Sukhothai, Thailand

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

    For example Sawankhalok (85), Si Satchanalai (84)

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

    🇮🇳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 17 great-fit crops

    99%match
  2. 2

    🇮🇳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
  3. 3

    🇮🇳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
  4. 4

    🇮🇳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
  5. 5

    🇮🇳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

    99%match
  6. 6

    🇮🇳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

    98%match
  7. 7

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

    98%match
  8. 8

    🇮🇳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
  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)

    98%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)

    98%match
  11. 11

    🇮🇳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

    98%match
  12. 12

    🇮🇳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

    98%match
  13. 13

    🇮🇳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
  14. 14

    🇮🇳SompetaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,413 mm rain

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

    97%match
  15. 15

    🇮🇳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

    96%match
  16. 16

    🇮🇳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

    95%match
  17. 17

    🇮🇳BhubanOdisha, India

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,631 mm rain

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

    94%match
  18. 18

    🇮🇳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

    93%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

    93%match
  20. 20

    🇮🇳RāyagadaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,574 mm rain

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

    93%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 Pipili: 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.