Climatch

Land with a climate like Gambēla

🇪🇹Gambēla, Gambela, Ethiopia

The towns with the closest growing climate to Gambēla are Juba, South Sudan (96% match), Bor and Torit. About 158,000 sq mi of land in 10 countries matches 80% or better, most of it in Piauí, Brazil, Savanes District, Ivory Coast and Central Equatoria, South Sudan.The towns with the closest growing climate to Gambēla are Juba, South Sudan (96% match), Bor and Torit. About 409,000 km² of land in 10 countries matches 80% or better, most of it in Piauí, Brazil, Savanes District, Ivory Coast and Central Equatoria, South Sudan.

Your growing climate

Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 835 mm rain

What grows in Gambēla →

Regions with the most land like yours

  1. 1

    🇧🇷Piauí, Brazil

    12k sq mi31k km² matching 80% or better

    For example Bom Jesus (85), Canto do Buriti (84)

  2. 2

    🇨🇮Savanes District, Ivory Coast

    11k sq mi27k km² matching 80% or better

    For example Tengréla (84), Kolia (84)

  3. 3

    🇸🇸Central Equatoria, South Sudan

    7,400 sq mi19k km² matching 80% or better

    For example Juba (96), Yei (68)

  4. 4

    🇸🇸Jonglei, South Sudan

    6,800 sq mi18k km² matching 80% or better

    For example Bor (96)

  5. 5

    🇸🇸Lakes, South Sudan

    5,000 sq mi13k km² matching 80% or better

    For example Rumbek (85)

  6. 6

    🇪🇹Gambela, Ethiopia

    3,800 sq mi10,000 km² matching 80% or better

  7. 7

    🇲🇱Gao, Mali

    3,200 sq mi8,400 km² matching 80% or better

    For example Bamba (83)

  8. 8

    🇨🇮Zanzan District, Ivory Coast

    2,700 sq mi6,900 km² matching 80% or better

    For example Doropo (81), Bouna (80)

  9. 9

    🇬🇭Savannah, Ghana

    2,400 sq mi6,100 km² matching 80% or better

    For example Damongo (80), Salaga (76)

  10. 10

    🇲🇱Sikasso, Mali

    2,100 sq mi5,300 km² matching 80% or better

    For example Massiogo (83), Kadiolo (80)

  11. 11

    🇮🇳Karnataka, India

    2,000 sq mi5,200 km² matching 80% or better

    For example Hatti (82), Ilkal (81)

  12. 12

    🇺🇬Northern Region, Uganda

    1,800 sq mi4,600 km² matching 80% or better

    For example Adjumani (70), Yumbe (67)

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

    🇸🇸JubaCentral Equatoria, South Sudan

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 803 mm rain

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

    96%match
  2. 2

    🇸🇸BorJonglei, South Sudan

    Zone 13a · No frost · 0 chill hours · 29 in rainZone 13a · No frost · 0 chill hours · 736 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  3. 3

    🇸🇸ToritEastern Equatoria, South Sudan

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 855 mm rain

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

    93%match
  4. 4

    🇸🇸RumbekLakes, South Sudan

    Zone 13a · No frost · 0 chill hours · 31 in rainZone 13a · No frost · 0 chill hours · 786 mm rain

    Shares 14 of your 15 great-fit crops

    85%match
  5. 5

    🇧🇷Bom Jesus↻Seasons flipped. Piauí, Brazil

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 856 mm rain

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

    85%match
  6. 6

    🇸🇸TonjWarrap, South Sudan

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 828 mm rain

    Shares 15 of your 15 great-fit crops

    84%match
  7. 7

    🇨🇮TengrélaSavanes District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,032 mm rain

    Shares 14 of your 15 great-fit crops

    84%match
  8. 8

    🇧🇷Canto do Buriti↻Seasons flipped. Piauí, Brazil

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

    Shares 15 of your 15 great-fit crops

    84%match
  9. 9

    🇨🇮KoliaSavanes District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,115 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: strawberry

    84%match
  10. 10

    🇲🇱BambaGao, Mali

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,089 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: strawberry

    83%match
  11. 11

    🇧🇷Floriano↻Seasons flipped. Piauí, Brazil

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 910 mm rain

    Shares 14 of your 15 great-fit crops

    83%match
  12. 12

    🇮🇳AdoniAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 790 mm rain

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

    82%match
  13. 13

    🇧🇷Oeiras↻Seasons flipped. Piauí, Brazil

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 797 mm rain

    Shares 15 of your 15 great-fit crops

    82%match
  14. 14

    🇮🇳IlkalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 752 mm rain

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

    81%match
  15. 15

    🇨🇮M’BenguéSavanes District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,061 mm rain

    Shares 14 of your 15 great-fit crops

    81%match
  16. 16

    🇨🇮KongSavanes District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 1,000 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: strawberry

    81%match
  17. 17

    🇨🇮DoropoZanzan District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 988 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: strawberry

    81%match
  18. 18

    🇳🇬BeliTaraba State, Nigeria

    Zone 12b · No frost · 0 chill hours · 51 in rainZone 12b · No frost · 0 chill hours · 1,294 mm rain

    Shares 14 of your 15 great-fit crops

    81%match
  19. 19

    🇮🇳MuddebihālKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 839 mm rain

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

    81%match
  20. 20

    🇨🇮OuangolodougouSavanes District, Ivory Coast

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,064 mm rain

    Shares 14 of your 15 great-fit crops

    80%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 Gambēla: 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.