Climatch

Land with a climate like Inhuma

🇧🇷Inhuma, Piauí, Brazil

The towns with the closest growing climate to Inhuma are Castelo do Piauí, Brazil (96% match), Campos Sales and Jaicós. About 323,000 sq mi of land in 11 countries matches 80% or better, most of it in Piauí, Brazil, Karnataka, India and Bahia, Brazil.The towns with the closest growing climate to Inhuma are Castelo do Piauí, Brazil (96% match), Campos Sales and Jaicós. About 836,000 km² of land in 11 countries matches 80% or better, most of it in Piauí, Brazil, Karnataka, India and Bahia, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 729 mm rain

What grows in Inhuma →

Regions with the most land like yours

  1. 1

    🇧🇷Piauí, Brazil

    61k sq mi157k km² matching 80% or better

    For example São Miguel do Tapuio (97), Castelo do Piauí (96)

  2. 2

    🇮🇳Karnataka, India

    39k sq mi100k km² matching 80% or better

    For example Bāgepalli (92), Kūdligi (91)

  3. 3

    🇧🇷Bahia, Brazil

    33k sq mi84k km² matching 80% or better

    For example Barra (88), Juazeiro (87)

  4. 4

    🇧🇷Maranhão, Brazil

    32k sq mi84k km² matching 80% or better

    For example Estreito (91), Passagem Franca (91)

  5. 5

    🇲🇿Cabo Delgado Province, Mozambique

    14k sq mi36k km² matching 80% or better

    For example Chiúre (90), Macomia (85)

  6. 6

    🇮🇳Andhra Pradesh, India

    10k sq mi26k km² matching 80% or better

    For example Somandepalle (90), Gorantla (90)

  7. 7

    🇹🇿Lindi, Tanzania

    8,000 sq mi21k km² matching 80% or better

    For example Nachingwea (92), Nyangao (89)

  8. 8

    🇹🇿Mtwara, Tanzania

    7,900 sq mi21k km² matching 80% or better

    For example Lukuledi (95), Nangomba (94)

  9. 9

    🇲🇿Nampula, Mozambique

    7,200 sq mi19k km² matching 80% or better

    For example Namapa-erati (89), Nampula (80)

  10. 10

    🇹🇿Ruvuma, Tanzania

    5,000 sq mi13k km² matching 80% or better

    For example Tunduru (74), Maposeni (52)

  11. 11

    🇲🇲Mandalay Region, Myanmar

    4,200 sq mi11k km² matching 80% or better

    For example Kyaukpadaung (82), Meiktila (81)

  12. 12

    🇲🇽Chiapas, Mexico

    4,000 sq mi10k km² matching 80% or better

    For example Suchiapa (90), Villaflores (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

    🇧🇷Castelo do PiauíPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  2. 2

    🇧🇷Campos SalesCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 21 in rainZone 12b · No frost · 0 chill hours · 527 mm rain

    Shares 13 of your 17 great-fit crops

    96%match
  3. 3

    🇧🇷JaicósPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 572 mm rain

    Shares 14 of your 17 great-fit crops

    95%match
  4. 4

    🇧🇷AssaréCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 25 in rainZone 12b · No frost · 0 chill hours · 644 mm rain

    Shares 15 of your 17 great-fit crops

    95%match
  5. 5

    🇹🇿NangombaMtwara, Tanzania

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 912 mm rain

    Shares 17 of your 17 great-fit crops

    94%match
  6. 6

    🇹🇿MasasiMtwara, Tanzania

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 925 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wheat

    94%match
  7. 7

    🇹🇿NangangaMtwara, Tanzania

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 826 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  8. 8

    🇧🇷Juazeiro do NorteCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 912 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  9. 9

    🇧🇷AfrânioPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 18 in rainZone 12a · No frost · 0 chill hours · 467 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: banana, cacao, wheat

    91%match
  10. 10

    🇮🇳Koppal↻Seasons flipped. Karnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 778 mm rain

    Shares 16 of your 17 great-fit crops

    91%match
  11. 11

    🇮🇳Hosapete↻Seasons flipped. Karnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 766 mm rain

    Shares 16 of your 17 great-fit crops

    90%match
  12. 12

    🇧🇷Buriti BravoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,069 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  13. 13

    🇮🇳Gorantla↻Seasons flipped. Andhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    90%match
  14. 14

    🇲🇿ChiúreCabo Delgado Province, Mozambique

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    90%match
  15. 15

    🇧🇷Canto do BuritiPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 30 in rainZone 12b · No frost · 0 chill hours · 757 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  16. 16

    🇧🇷RegeneraçãoPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,163 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  17. 17

    🇲🇽Suchiapa↻Seasons flipped. Chiapas, Mexico

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,067 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  18. 18

    🇧🇷AraripinaPernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 639 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    90%match
  19. 19

    🇧🇷Lagoa GrandePernambuco, Brazil

    Zone 12a · No frost · 0 chill hours · 19 in rainZone 12a · No frost · 0 chill hours · 476 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: banana, cacao, wheat

    89%match
  20. 20

    🇮🇳Pāvugada↻Seasons flipped. Karnataka, India

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 13 of your 17 great-fit crops

    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 Inhuma: 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.