Climatch

Land with a climate like San Ignacio de Velasco

🇧🇴San Ignacio de Velasco, Santa Cruz Department, Bolivia

The towns with the closest growing climate to San Ignacio de Velasco are Poconé, Brazil (99% match), Lucas and Mirassol d'Oeste. About 820,000 sq mi of land in 18 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.The towns with the closest growing climate to San Ignacio de Velasco are Poconé, Brazil (99% match), Lucas and Mirassol d'Oeste. About 2.1 million km² of land in 18 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,120 mm rain

What grows in San Ignacio de Velasco →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    82k sq mi213k km² matching 80% or better

    For example Coxim (98), Rio Verde de Mato Grosso (97)

  2. 2

    🇧🇷Mato Grosso, Brazil

    78k sq mi202k km² matching 80% or better

    For example Poconé (99), Lucas (99)

  3. 3

    🇧🇷São Paulo, Brazil

    40k sq mi104k km² matching 80% or better

    For example Ilha Solteira (95), Pereira Barreto (94)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    26k sq mi68k km² matching 80% or better

    For example Ascención de Guarayos (98), Montero (96)

  5. 5

    🇧🇴Beni Department, Bolivia

    21k sq mi53k km² matching 80% or better

    For example Trinidad (90), San Borja (87)

  6. 6

    🇨🇩Maniema, Democratic Republic of the Congo

    7,800 sq mi20k km² matching 80% or better

    For example Kasongo (82), Kampene (79)

  7. 7

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (84)

  8. 8

    🇹🇿Morogoro, Tanzania

    5,600 sq mi15k km² matching 80% or better

    For example Morogoro (85), Madizini (84)

  9. 9

    🇨🇮Montagnes, Ivory Coast

    5,300 sq mi14k km² matching 80% or better

    For example Logoualé (83), Man (83)

  10. 10

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Houakhoua (88), Ban Khoan (87)

  11. 11

    🇵🇪Ucayali, Peru

    4,700 sq mi12k km² matching 80% or better

    For example Atalaya (85), San Fernando (60)

  12. 12

    🇹🇭Chiang Rai, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Chiang Rai (88), Mae Chan (87)

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

    🇧🇷PoconéMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,257 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇷LucasMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,261 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇧🇷Mirassol d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,405 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  4. 4

    🇧🇷CuiabáMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,338 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  5. 5

    🇧🇴Ascención de GuarayosSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,242 mm rain

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

    98%match
  6. 6

    🇧🇷CáceresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,264 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  7. 7

    🇧🇷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 18 great-fit crops · Also great there: banana

    98%match
  8. 8

    🇧🇷Pontes e LacerdaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,517 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: cacao, banana

    98%match
  9. 9

    🇧🇷Lambari d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,451 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  10. 10

    🇧🇷Vila Bela da Santíssima TrindadeMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,527 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: cacao, banana

    98%match
  11. 11

    🇧🇷Barra do BugresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,384 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  12. 12

    🇧🇷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 18 of your 18 great-fit crops · Also great there: barley, banana

    97%match
  13. 13

    🇧🇷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 18 of your 18 great-fit crops · Also great there: banana, barley, canola (rapeseed)

    96%match
  14. 14

    🇧🇷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 18 of your 18 great-fit crops · Also great there: banana, barley, cacao

    96%match
  15. 15

    🇧🇴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 18 of your 18 great-fit crops · Also great there: banana, canola (rapeseed), barley

    96%match
  16. 16

    🇧🇷CorumbáMato Grosso do Sul, Brazil

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 986 mm rain

    Shares 16 of your 18 great-fit crops

    95%match
  17. 17

    🇧🇷Ilha SolteiraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,217 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana, canola (rapeseed), barley

    95%match
  18. 18

    🇧🇷NobresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,344 mm rain

    Shares 17 of your 18 great-fit crops

    95%match
  19. 19

    🇧🇷RondonópolisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,541 mm rain

    Shares 17 of your 18 great-fit crops

    94%match
  20. 20

    🇧🇴CotocaSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,130 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: banana, canola (rapeseed), barley

    94%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 San Ignacio de Velasco: 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.