Climatch

Land with a climate like Caranavi

🇧🇴Caranavi, La Paz Department, Bolivia

The towns with the closest growing climate to Caranavi are Campo Grande, Brazil (99% match), Ribas do Rio Pardo and Presidente Prudente. About 650,000 sq mi of land in 17 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Caranavi are Campo Grande, Brazil (99% match), Ribas do Rio Pardo and Presidente Prudente. About 1.7 million km² of land in 17 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 59 in rainZone 12a · No frost · 0 chill hours · 1,506 mm rain

What grows in Caranavi →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    103k sq mi267k km² matching 80% or better

    For example Campo Grande (99), Ribas do Rio Pardo (99)

  2. 2

    🇧🇷São Paulo, Brazil

    56k sq mi145k km² matching 80% or better

    For example Presidente Prudente (98), Álvares Machado (97)

  3. 3

    🇧🇷Mato Grosso, Brazil

    49k sq mi127k km² matching 80% or better

    For example Rosário Oeste (87), Nobres (85)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    27k sq mi70k km² matching 80% or better

    For example El Torno (97), Santa Cruz de la Sierra (95)

  5. 5

    🇧🇴Beni Department, Bolivia

    14k sq mi35k km² matching 80% or better

    For example Trinidad (84), San Borja (83)

  6. 6

    🇨🇩Haut-Uele, Democratic Republic of the Congo

    13k sq mi32k km² matching 80% or better

    For example Wamba (84), Isiro (81)

  7. 7

    🇨🇩Maniema, Democratic Republic of the Congo

    13k sq mi32k km² matching 80% or better

    For example Kampene (88), Kasongo (82)

  8. 8

    🇵🇾Concepción, Paraguay

    7,700 sq mi20k km² matching 80% or better

    For example Yby Yaú (87), Concepción (83)

  9. 9

    🇵🇪Ucayali, Peru

    6,500 sq mi17k km² matching 80% or better

    For example Atalaya (87), San Fernando (60)

  10. 10

    🇵🇪San Martín Department, Peru

    6,200 sq mi16k km² matching 80% or better

    For example Uchiza (78), Rioja (78)

  11. 11

    🇵🇪Junin, Peru

    5,900 sq mi15k km² matching 80% or better

    For example San Martín de Pangoa (96), Satipo (96)

  12. 12

    🇨🇩North Kivu, Democratic Republic of the Congo

    4,500 sq mi12k km² matching 80% or better

    For example Mangina (85), Hyosha (84)

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

    🇧🇷Campo GrandeMato Grosso do Sul, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,353 mm rain

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

    99%match
  2. 2

    🇧🇷Ribas do Rio PardoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,377 mm rain

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

    99%match
  3. 3

    🇧🇷Presidente PrudenteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,200 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    98%match
  4. 4

    🇧🇷Água ClaraMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    98%match
  5. 5

    🇧🇷SidrolândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,323 mm rain

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

    97%match
  6. 6

    🇧🇷São Gabriel do OesteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,421 mm rain

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

    97%match
  7. 7

    🇧🇷Nova Alvorada do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,386 mm rain

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

    97%match
  8. 8

    🇧🇷Rio Verde de Mato GrossoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,375 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: fig

    96%match
  9. 9

    🇧🇷Três LagoasMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,241 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig

    96%match
  10. 10

    🇵🇪San Martín de PangoaJunin, Peru

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,586 mm rain

    Shares 23 of your 23 great-fit crops

    96%match
  11. 11

    🇧🇷Presidente EpitácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,151 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig

    96%match
  12. 12

    🇧🇴Santa Cruz de la SierraSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,281 mm rain

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

    95%match
  13. 13

    🇧🇴Villa YapacaníSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 66 in rainZone 12a · No frost · 0 chill hours · 1,684 mm rain

    Shares 22 of your 23 great-fit crops

    95%match
  14. 14

    🇧🇷Rio BrilhanteMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,404 mm rain

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

    95%match
  15. 15

    🇵🇪Santa RosaJunin, Peru

    Zone 12a · No frost · 0 chill hours · 71 in rainZone 12a · No frost · 0 chill hours · 1,804 mm rain

    Shares 22 of your 23 great-fit crops

    94%match
  16. 16

    🇧🇷AquidauanaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,338 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig

    94%match
  17. 17

    🇧🇷BonitoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,294 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig, potato

    94%match
  18. 18

    🇧🇷MaracajuMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,363 mm rain

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

    94%match
  19. 19

    🇧🇴MonteroSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,248 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    94%match
  20. 20

    🇧🇷CoximMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,406 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: fig

    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 Caranavi: 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.