Climatch

Land with a climate like Rāyagada

🇮🇳Rāyagada, Odisha, India

The towns with the closest growing climate to Rāyagada are Sālūr, India (99% match), Bhanjanagar and Bālugaon. About 286,000 sq mi of land in 10 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 Rāyagada are Sālūr, India (99% match), Bhanjanagar and Bālugaon. About 741,000 km² of land in 10 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 · 1,574 mm rain

What grows in Rāyagada →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    52k sq mi134k km² matching 80% or better

    For example Sorada (99), Bhanjanagar (99)

  2. 2

    🇮🇳West Bengal, India

    25k sq mi66k km² matching 80% or better

    For example Kharagpur (93), Jhārgrām (93)

  3. 3

    🇮🇳Andhra Pradesh, India

    17k sq mi45k km² matching 80% or better

    For example Sālūr (99), Rampachodavaram (96)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    8,200 sq mi21k km² matching 80% or better

    For example Kalemyo (86), Mawlaik (82)

  5. 5

    🇹🇭Nakhon Ratchasima, Thailand

    6,100 sq mi16k km² matching 80% or better

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

  6. 6

    🇱🇦Savannakhet Province, Laos

    5,400 sq mi14k km² matching 80% or better

    For example Ban Xénô (85), Savannakhet (84)

  7. 7

    🇹🇭Udon Thani, Thailand

    5,100 sq mi13k km² matching 80% or better

    For example Nam Som (87), Kut Chap (85)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    4,900 sq mi13k km² matching 80% or better

    For example Kālīganj (87), Jhingergācha (86)

  9. 9

    🇹🇭Kalasin, Thailand

    4,900 sq mi13k km² matching 80% or better

    For example Khao Wong (84), Nong Kung Si (83)

  10. 10

    🇧🇩Chittagong, Bangladesh

    3,900 sq mi10k km² matching 80% or better

    For example Rangamati (86), Karnaphuli (85)

  11. 11

    🇲🇲Mandalay Region, Myanmar

    3,300 sq mi8,600 km² matching 80% or better

    For example Yamethin (84), Pyawbwe (78)

  12. 12

    🇱🇦Bokeo, Laos

    2,500 sq mi6,500 km² matching 80% or better

    For example Ban Khoan (91), Ban Houakhoua (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

    🇮🇳SālūrAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,393 mm rain

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

    99%match
  2. 2

    🇮🇳BhanjanagarOdisha, India

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,543 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇳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 18 great-fit crops

    99%match
  4. 4

    🇮🇳JeyporeOdisha, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

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

    97%match
  5. 5

    🇮🇳BhawānipatnaOdisha, India

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,597 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  6. 6

    🇮🇳KhordhaOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,714 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  7. 7

    🇮🇳ByasanagarOdisha, India

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

    Shares 17 of your 18 great-fit crops

    97%match
  8. 8

    🇮🇳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 18 great-fit crops

    96%match
  9. 9

    🇮🇳NowrangapurOdisha, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,776 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  10. 10

    🇮🇳RampachodavaramAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,472 mm rain

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

    96%match
  11. 11

    🇮🇳BhadrakOdisha, India

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

    Shares 17 of your 18 great-fit crops

    95%match
  12. 12

    🇮🇳RāzāmAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,379 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    94%match
  13. 13

    🇮🇳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 18 great-fit crops · Also great there: avocado

    94%match
  14. 14

    🇮🇳KendrāparhaOdisha, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,725 mm rain

    Shares 17 of your 18 great-fit crops

    94%match
  15. 15

    🇮🇳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 18 great-fit crops · Also great there: avocado

    94%match
  16. 16

    🇮🇳BaligudaOdisha, India

    Zone 11a · No frost · 1 chill hours · 64 in rainZone 11a · No frost · 1 chill hours · 1,628 mm rain

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

    94%match
  17. 17

    🇮🇳MalakanagiriOdisha, India

    Zone 11b · No frost · 0 chill hours · 71 in rainZone 11b · No frost · 0 chill hours · 1,813 mm rain

    Shares 15 of your 18 great-fit crops

    93%match
  18. 18

    🇮🇳NarsīpatnamAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,420 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    93%match
  19. 19

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

    93%match
  20. 20

    🇮🇳AngulOdisha, India

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,480 mm rain

    Shares 16 of your 18 great-fit crops

    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 Rāyagada: 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.