Climatch

Land with a climate like Jājpur

🇮🇳Jājpur, Odisha, India

The towns with the closest growing climate to Jājpur are Dhenkānāl, India (99% match), Balasore and Bhubaneswar. About 177,000 sq mi of land in 6 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 Jājpur are Dhenkānāl, India (99% match), Balasore and Bhubaneswar. About 458,000 km² of land in 6 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 · 69 in rainZone 11b · No frost · 0 chill hours · 1,748 mm rain

What grows in Jājpur →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    39k sq mi102k km² matching 80% or better

    For example Āthagarh (99), Remuna (99)

  2. 2

    🇮🇳West Bengal, India

    25k sq mi63k km² matching 80% or better

    For example Howrah (98), Kolkata (98)

  3. 3

    🇮🇳Andhra Pradesh, India

    9,900 sq mi26k km² matching 80% or better

    For example Pārvatipuram (97), Sālūr (95)

  4. 4

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Sātkhira (94), Jhingergācha (94)

  5. 5

    🇧🇩Chittagong, Bangladesh

    8,600 sq mi22k km² matching 80% or better

    For example Rangamati (89), Raojān (88)

  6. 6

    🇧🇩Rajshahi Division, Bangladesh

    6,000 sq mi16k km² matching 80% or better

    For example Pābna (87), Rajshahi (86)

  7. 7

    🇲🇲Sagaing Region, Myanmar

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

    For example Kalemyo (84), Tatkon (81)

  8. 8

    🇹🇭Nakhon Ratchasima, Thailand

    3,800 sq mi9,700 km² matching 80% or better

    For example Khon Buri (84), Chok Chai (82)

  9. 9

    🇹🇭Udon Thani, Thailand

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

    For example Nam Som (85), Udon Thani (83)

  10. 10

    🇹🇭Sukhothai, Thailand

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

    For example Si Satchanalai (86), Sawankhalok (85)

  11. 11

    🇱🇦Savannakhet Province, Laos

    2,000 sq mi5,200 km² matching 80% or better

    For example Ban Xénô (79), Savannakhet (78)

  12. 12

    🇱🇦Bokeo, Laos

    2,000 sq mi5,100 km² matching 80% or better

    For example Ban Houakhoua (90), Ban Khoan (90)

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

    🇮🇳DhenkānālOdisha, India

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,663 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇮🇳BalasoreOdisha, India

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

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇮🇳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

    99%match
  4. 4

    🇮🇳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

    99%match
  5. 5

    🇮🇳JaleshwarOdisha, India

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

    Shares 17 of your 17 great-fit crops

    99%match
  6. 6

    🇮🇳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

    98%match
  7. 7

    🇮🇳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

    97%match
  8. 8

    🇮🇳HinjilicutOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,584 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    97%match
  9. 9

    🇮🇳KharagpurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,495 mm rain

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

    97%match
  10. 10

    🇮🇳BaripādaOdisha, India

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,662 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  11. 11

    🇮🇳RāyagadaOdisha, India

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

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

    96%match
  12. 12

    🇮🇳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: avocado

    96%match
  13. 13

    🇮🇳CanningWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,790 mm rain

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

    96%match
  14. 14

    🇮🇳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

    95%match
  15. 15

    🇧🇩SātkhiraKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,775 mm rain

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

    94%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

    93%match
  17. 17

    🇮🇳BarddhamānWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,438 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: fig

    93%match
  18. 18

    🇧🇩JessoreKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,771 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: barley

    93%match
  19. 19

    🇮🇳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: avocado

    93%match
  20. 20

    🇮🇳ParalakhemundiOdisha, India

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

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    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 Jājpur: 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.