Climatch

Land with a climate like Rāzām

🇮🇳Rāzām, Andhra Pradesh, India

The towns with the closest growing climate to Rāzām are Palāsa, India (99% match), Tuni and Rasapūdipalem. About 308,000 sq mi of land in 17 countries matches 80% or better, most of it in Andhra Pradesh, India, Odisha, India and Maranhão, Brazil.The towns with the closest growing climate to Rāzām are Palāsa, India (99% match), Tuni and Rasapūdipalem. About 798,000 km² of land in 17 countries matches 80% or better, most of it in Andhra Pradesh, India, Odisha, India and Maranhão, Brazil.

Your growing climate

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

What grows in Rāzām →

Regions with the most land like yours

  1. 1

    🇮🇳Andhra Pradesh, India

    33k sq mi86k km² matching 80% or better

    For example Chodavaram (99), Anakapalle (99)

  2. 2

    🇮🇳Odisha, India

    26k sq mi67k km² matching 80% or better

    For example Āsika (98), Hinjilicut (98)

  3. 3

    🇧🇷Maranhão, Brazil

    14k sq mi36k km² matching 80% or better

    For example São João do Soter (83), Presidente Dutra (81)

  4. 4

    🇮🇳West Bengal, India

    12k sq mi32k km² matching 80% or better

    For example Egra (86), Haldia (85)

  5. 5

    🇮🇩East Nusa Tenggara, Indonesia

    9,200 sq mi24k km² matching 80% or better

    For example Waingapu (85), Maumere (83)

  6. 6

    🇹🇿Lindi, Tanzania

    5,900 sq mi15k km² matching 80% or better

    For example Kilwa Masoko (85), Lindi (84)

  7. 7

    🇹🇭Nakhon Ratchasima, Thailand

    5,800 sq mi15k km² matching 80% or better

    For example Nakhon Ratchasima (86), Non Sung (85)

  8. 8

    🇰🇭Kampong Thom, Cambodia

    5,200 sq mi14k km² matching 80% or better

    For example Phumĭ Tnaôt (86), Kampong Thom (81)

  9. 9

    🇰🇭Stung Treng, Cambodia

    5,200 sq mi14k km² matching 80% or better

    For example Stung Treng (85)

  10. 10

    🇹🇿Morogoro, Tanzania

    4,700 sq mi12k km² matching 80% or better

    For example Ifakara (85), Kidodi (79)

  11. 11

    🇰🇭Ŏtâr Méanchey, Cambodia

    4,600 sq mi12k km² matching 80% or better

    For example Anlong Veaeng (84), Samraong (73)

  12. 12

    🇧🇷Piauí, Brazil

    3,900 sq mi10k km² matching 80% or better

    For example Demerval Lobão (82), Regeneração (81)

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

    🇮🇳PalāsaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,429 mm rain

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

    99%match
  2. 2

    🇮🇳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 16 great-fit crops

    99%match
  3. 3

    🇮🇳RasapūdipalemAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado

    98%match
  4. 4

    🇮🇳BānapurOdisha, India

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,594 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: avocado, wheat

    97%match
  5. 5

    🇮🇳BrahmapurOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado, wheat

    96%match
  6. 6

    🇮🇳BhubaneswarOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat

    95%match
  7. 7

    🇮🇳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 16 great-fit crops

    95%match
  8. 8

    🇮🇳BhanjanagarOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    95%match
  9. 9

    🇮🇳RāyagadaOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    94%match
  10. 10

    🇮🇳RajamahendravaramAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 50 in rainZone 12b · No frost · 0 chill hours · 1,280 mm rain

    Shares 16 of your 16 great-fit crops

    94%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 15 of your 16 great-fit crops · Also great there: wheat

    93%match
  12. 12

    🇮🇳Parādīp GarhOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado, wheat

    93%match
  13. 13

    🇮🇳PolavaramAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops

    93%match
  14. 14

    🇮🇳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 16 great-fit crops

    90%match
  15. 15

    🇰🇭Siem ReapCambodia

    Zone 12b · No frost · 0 chill hours · 53 in rainZone 12b · No frost · 0 chill hours · 1,342 mm rain

    Shares 14 of your 16 great-fit crops

    90%match
  16. 16

    🇹🇭Ban NaSukhothai, Thailand

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,101 mm rain

    Shares 15 of your 16 great-fit crops

    89%match
  17. 17

    🇮🇳PuriOdisha, India

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

    Shares 14 of your 16 great-fit crops · Also great there: avocado, wheat

    89%match
  18. 18

    🇮🇳DhenkānālOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    89%match
  19. 19

    🇹🇭TakThailand

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

    Shares 15 of your 16 great-fit crops

    89%match
  20. 20

    🇮🇳BhadrakOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    89%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 Rāzām: 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.