Climatch

Land with a climate like Avarua

🇨🇰Avarua, Rarotonga, Cook Islands

The towns with the closest growing climate to Avarua are Nuku‘alofa, Tonga (99% match), Alofi and Nasinu. About 287,000 sq mi of land in 35 countries matches 80% or better, most of it in Bahia, Brazil, Cagayan Valley, Philippines and Analanjirofo, Madagascar.The towns with the closest growing climate to Avarua are Nuku‘alofa, Tonga (99% match), Alofi and Nasinu. About 743,000 km² of land in 35 countries matches 80% or better, most of it in Bahia, Brazil, Cagayan Valley, Philippines and Analanjirofo, Madagascar.

Your growing climate

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

What grows in Avarua →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    24k sq mi63k km² matching 80% or better

    For example Ilhéus (95), Una (95)

  2. 2

    🇵🇭Cagayan Valley, Philippines

    12k sq mi30k km² matching 80% or better

    For example Sanchez-Mira (84), Diadi (84)

  3. 3

    🇲🇬Analanjirofo, Madagascar

    6,600 sq mi17k km² matching 80% or better

    For example Fenoarivo Atsinanana (86), Vavatenina (85)

  4. 4

    🇲🇬Atsinanana, Madagascar

    6,500 sq mi17k km² matching 80% or better

    For example Mahanoro (87), Ampasimanolotra (87)

  5. 5

    🇫🇯Western, Fiji

    5,700 sq mi15k km² matching 80% or better

    For example Sigatoka (97), Nadi (94)

  6. 6

    🇯🇵Okinawa, Japan

    5,700 sq mi15k km² matching 80% or better

    For example Ishigaki (89), Hirara (88)

  7. 7

    🇫🇯Northern, Fiji

    5,200 sq mi13k km² matching 80% or better

    For example Labasa (86)

  8. 8

    🇲🇬Vatovavy Region, Madagascar

    4,200 sq mi11k km² matching 80% or better

    For example Mananjary (87), Sahavato (87)

  9. 9

    🇫🇯Central, Fiji

    4,000 sq mi10k km² matching 80% or better

    For example Lami (97), Nasinu (97)

  10. 10

    🇮🇩Maluku, Indonesia

    3,900 sq mi10k km² matching 80% or better

    For example Dobo (74), Ambon (71)

  11. 11

    🇵🇭Calabarzon, Philippines

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

    For example Lucban (88), Majayjay (85)

  12. 12

    🇧🇷São Paulo, Brazil

    3,500 sq mi9,200 km² matching 80% or better

    For example Itanhaém (91), Praia Grande (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

    🇹🇴Nuku‘alofaTongatapu, Tonga

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

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇳🇺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 23 great-fit crops

    99%match
  3. 3

    🇫🇯NasinuCentral, Fiji

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

    Shares 20 of your 23 great-fit crops

    97%match
  4. 4

    🇵🇫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 23 great-fit crops

    96%match
  5. 5

    🇧🇷UnaBahia, Brazil

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

    Shares 22 of your 23 great-fit crops

    95%match
  6. 6

    🇧🇷ItabunaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 64 in rainZone 12b · No frost · 0 chill hours · 1,620 mm rain

    Shares 22 of your 23 great-fit crops

    94%match
  7. 7

    🇧🇷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 23 great-fit crops

    94%match
  8. 8

    🇫🇯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 23 great-fit crops

    94%match
  9. 9

    🇻🇺Port-VilaShefa, Vanuatu

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

    Shares 21 of your 23 great-fit crops

    93%match
  10. 10

    🇧🇷CanavieirasBahia, Brazil

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

    Shares 23 of your 23 great-fit crops

    93%match
  11. 11

    🇵🇳AdamstownPitcairn

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,530 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    93%match
  12. 12

    🇧🇷Nova ViçosaBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,452 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    92%match
  13. 13

    🇧🇷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 23 great-fit crops

    92%match
  14. 14

    🇲🇬FarafanganaAtsimo-Atsinanana, Madagascar

    Zone 12a · No frost · 0 chill hours · 92 in rainZone 12a · No frost · 0 chill hours · 2,333 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    91%match
  15. 15

    🇹🇼Hualien City↻Seasons flipped. Taiwan, Taiwan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,087 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    91%match
  16. 16

    🇧🇷ItanhaémSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 2,018 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    91%match
  17. 17

    🇧🇷Porto SeguroBahia, Brazil

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

    Shares 22 of your 23 great-fit crops

    90%match
  18. 18

    🇹🇼Taitung↻Seasons flipped. Taiwan, Taiwan

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 1,999 mm rain

    Shares 23 of your 23 great-fit crops

    90%match
  19. 19

    🇧🇷GanduBahia, Brazil

    Zone 12b · No frost · 0 chill hours · 59 in rainZone 12b · No frost · 0 chill hours · 1,507 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    90%match
  20. 20

    🇯🇵Ishigaki↻Seasons flipped. Okinawa, Japan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,085 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: coffee (arabica)

    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 Avarua: 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.