Climatch

Land with a climate like Nasinu

🇫🇯Nasinu, Central, Fiji

The towns with the closest growing climate to Nasinu are Alofi, Niue (99% match), Sigatoka and Nuku‘alofa. About 878,000 sq mi of land in 40 countries matches 80% or better, most of it in Sarawak, Malaysia, North Sumatra, Indonesia and Bahia, Brazil.The towns with the closest growing climate to Nasinu are Alofi, Niue (99% match), Sigatoka and Nuku‘alofa. About 2.3 million km² of land in 40 countries matches 80% or better, most of it in Sarawak, Malaysia, North Sumatra, Indonesia and Bahia, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 102 in rainZone 13a · No frost · 0 chill hours · 2,602 mm rain

What grows in Nasinu →

Regions with the most land like yours

  1. 1

    🇲🇾Sarawak, Malaysia

    34k sq mi89k km² matching 80% or better

    For example Belaga (83), Pakan (83)

  2. 2

    🇮🇩North Sumatra, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Pekan Bahapal (88), Tebingtinggi (86)

  3. 3

    🇧🇷Bahia, Brazil

    18k sq mi46k km² matching 80% or better

    For example Camamu (96), Ilhéus (96)

  4. 4

    🇲🇾Sabah, Malaysia

    18k sq mi46k km² matching 80% or better

    For example Bandar Nabawan (84), Kinarut (82)

  5. 5

    🇵🇭Bicol Region, Philippines

    17k sq mi44k km² matching 80% or better

    For example Goa (87), San Jose (87)

  6. 6

    🇵🇭Cagayan Valley, Philippines

    14k sq mi37k km² matching 80% or better

    For example Sanchez-Mira (89), Diadi (88)

  7. 7

    🇮🇩Maluku, Indonesia

    14k sq mi36k km² matching 80% or better

    For example Dobo (86), Ambon (84)

  8. 8

    🇮🇩Riau, Indonesia

    12k sq mi30k km² matching 80% or better

    For example Batam (82), Dumai (79)

  9. 9

    🇲🇾Johor, Malaysia

    10k sq mi26k km² matching 80% or better

    For example Muar (84), Kampung Sedenak (83)

  10. 10

    🇵🇭Zamboanga Peninsula, Philippines

    10k sq mi26k km² matching 80% or better

    For example Dapitan (81), Pagadian (80)

  11. 11

    🇫🇯Western, Fiji

    5,700 sq mi15k km² matching 80% or better

    For example Sigatoka (99), Lautoka (95)

  12. 12

    🇫🇯Northern, Fiji

    5,200 sq mi13k km² matching 80% or better

    For example Labasa (97)

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

    🇳🇺AlofiNiue

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,399 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇫🇯SigatokaWestern, Fiji

    Zone 12b · No frost · 0 chill hours · 85 in rainZone 12b · No frost · 0 chill hours · 2,157 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed)

    99%match
  3. 3

    🇹🇴Nuku‘alofaTongatapu, Tonga

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,045 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley, potato

    97%match
  4. 4

    🇨🇰AvaruaRarotonga, Cook Islands

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,052 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley, potato

    97%match
  5. 5

    🇫🇯LabasaNorthern, Fiji

    Zone 13a · No frost · 0 chill hours · 104 in rainZone 13a · No frost · 0 chill hours · 2,647 mm rain

    Shares 18 of your 20 great-fit crops

    97%match
  6. 6

    🇧🇷CamamuBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 91 in rainZone 12b · No frost · 0 chill hours · 2,307 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  7. 7

    🇧🇷IlhéusBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 76 in rainZone 12b · No frost · 0 chill hours · 1,927 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  8. 8

    🇻🇺Port-VilaShefa, Vanuatu

    Zone 12b · No frost · 0 chill hours · 95 in rainZone 12b · No frost · 0 chill hours · 2,401 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed)

    95%match
  9. 9

    🇫🇯LautokaWestern, Fiji

    Zone 12b · No frost · 0 chill hours · 76 in rainZone 12b · No frost · 0 chill hours · 1,931 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  10. 10

    🇵🇫FaaaÎles du Vent, French Polynesia

    Zone 12b · No frost · 0 chill hours · 76 in rainZone 12b · No frost · 0 chill hours · 1,942 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  11. 11

    🇦🇸Pago PagoEastern District, American Samoa

    Zone 13b · No frost · 0 chill hours · 155 in rainZone 13b · No frost · 0 chill hours · 3,934 mm rain

    Shares 10 of your 20 great-fit crops

    94%match
  12. 12

    🇧🇷UnaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,816 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley

    93%match
  13. 13

    🇼🇫Mata-UtuUvea, Wallis and Futuna

    Zone 13b · No frost · 0 chill hours · 130 in rainZone 13b · No frost · 0 chill hours · 3,297 mm rain

    Shares 14 of your 20 great-fit crops

    93%match
  14. 14

    🇧🇷ValençaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,054 mm rain

    Shares 20 of your 20 great-fit crops

    92%match
  15. 15

    🇼🇸ApiaTuamasaga, Samoa

    Zone 13b · No frost · 0 chill hours · 138 in rainZone 13b · No frost · 0 chill hours · 3,505 mm rain

    Shares 13 of your 20 great-fit crops

    92%match
  16. 16

    🇧🇷CanavieirasBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,745 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley, potato

    92%match
  17. 17

    🇮🇩BintuniWest Papua, Indonesia

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,778 mm rain

    Shares 17 of your 20 great-fit crops

    90%match
  18. 18

    🇵🇭Sanchez-Mira↻Seasons flipped. Cagayan Valley, Philippines

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,562 mm rain

    Shares 19 of your 20 great-fit crops

    89%match
  19. 19

    🇬🇺Dededo Village↻Seasons flipped. Dededo, Guam

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,461 mm rain

    Shares 19 of your 20 great-fit crops

    89%match
  20. 20

    🇧🇷Porto SeguroBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 63 in rainZone 12b · No frost · 0 chill hours · 1,597 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley

    88%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 Nasinu: 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.