Climatch

Land with a climate like Água Clara

🇧🇷Água Clara, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Água Clara are Ribas do Rio Pardo, Brazil (99% match), Três Lagoas and Rio Verde de Mato Grosso. About 701,000 sq mi of land in 17 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 Água Clara are Ribas do Rio Pardo, Brazil (99% match), Três Lagoas and Rio Verde de Mato Grosso. About 1.8 million km² of land in 17 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 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

What grows in Água Clara →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    103k sq mi267k km² matching 80% or better

    For example Ribas do Rio Pardo (99), Três Lagoas (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    67k sq mi173k km² matching 80% or better

    For example Poconé (94), Lucas (93)

  3. 3

    🇧🇷São Paulo, Brazil

    60k sq mi156k km² matching 80% or better

    For example Castilho (99), Ilha Solteira (99)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    27k sq mi70k km² matching 80% or better

    For example El Torno (97), Warnes (96)

  5. 5

    🇧🇴Beni Department, Bolivia

    13k sq mi34k km² matching 80% or better

    For example Trinidad (84), San Borja (82)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (89), Concepción (89)

  7. 7

    🇨🇩Maniema, Democratic Republic of the Congo

    7,800 sq mi20k km² matching 80% or better

    For example Kampene (83), Kasongo (81)

  8. 8

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (86)

  9. 9

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Houakhoua (82), Ban Khoan (80)

  10. 10

    🇧🇴La Paz Department, Bolivia

    4,300 sq mi11k km² matching 80% or better

    For example Caranavi (98)

  11. 11

    🇵🇪Ucayali, Peru

    4,100 sq mi11k km² matching 80% or better

    For example Atalaya (83), San Fernando (54)

  12. 12

    🇹🇭Chiang Rai, Thailand

    3,700 sq mi9,500 km² matching 80% or better

    For example Mae Chan (80), Mae Sai (80)

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

    🇧🇷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 22 great-fit crops · Also great there: tea

    99%match
  2. 2

    🇧🇷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 21 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷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 20 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷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 22 of your 22 great-fit crops · Also great there: tea, coffee (arabica)

    99%match
  5. 5

    🇧🇷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 19 of your 22 great-fit crops

    99%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 22 of your 22 great-fit crops · Also great there: tea, coffee (arabica)

    99%match
  7. 7

    🇧🇷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 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  8. 8

    🇧🇷Presidente VenceslauSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,154 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  9. 9

    🇧🇷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 21 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷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 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  11. 11

    🇧🇷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 22 of your 22 great-fit crops · Also great there: tea, coffee (arabica)

    99%match
  12. 12

    🇧🇷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 21 of your 22 great-fit crops

    99%match
  13. 13

    🇧🇷MirandaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,204 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  14. 14

    🇧🇴CaranaviLa Paz Department, Bolivia

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

    Shares 21 of your 22 great-fit crops · Also great there: tea, coffee (arabica)

    98%match
  15. 15

    🇧🇷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 22 of your 22 great-fit crops · Also great there: tea, coffee (arabica), potato

    98%match
  16. 16

    🇧🇷DracenaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,201 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    97%match
  17. 17

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

    Shares 20 of your 22 great-fit crops

    97%match
  18. 18

    🇧🇴El TornoSanta Cruz Department, Bolivia

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  19. 19

    🇧🇷ParanaíbaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,396 mm rain

    Shares 20 of your 22 great-fit crops

    97%match
  20. 20

    🇧🇷CatanduvaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,280 mm rain

    Shares 20 of your 22 great-fit crops

    97%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 Água Clara: 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.