Climatch

Land with a climate like Al Qadarif

🇸🇩Al Qadarif, Al Qaḑārif, Sudan

The towns with the closest growing climate to Al Qadarif are Dilling, Sudan (84% match), Al Ḩawātah and Banamba. About 40,000 sq mi of land in 5 countries matches 80% or better, most of it in Al Qaḑārif, Sudan, Koulikoro, Mali and Southern Kordofan, Sudan.The towns with the closest growing climate to Al Qadarif are Dilling, Sudan (84% match), Al Ḩawātah and Banamba. About 103,000 km² of land in 5 countries matches 80% or better, most of it in Al Qaḑārif, Sudan, Koulikoro, Mali and Southern Kordofan, Sudan.

Your growing climate

Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 514 mm rain

What grows in Al Qadarif →

Regions with the most land like yours

  1. 1

    🇸🇩Al Qaḑārif, Sudan

    9,900 sq mi26k km² matching 80% or better

    For example Al Ḩawātah (83), Al-Fāw (67)

  2. 2

    🇲🇱Koulikoro, Mali

    5,200 sq mi14k km² matching 80% or better

    For example Banamba (82), Kolokani (80)

  3. 3

    🇸🇩Southern Kordofan, Sudan

    5,000 sq mi13k km² matching 80% or better

    For example Dilling (84), Abu Jibeha (74)

  4. 4

    🇪🇹Amhara, Ethiopia

    4,400 sq mi11k km² matching 80% or better

    For example Tikil Dingay (81), Ābderafī (73)

  5. 5

    🇪🇹Tigray, Ethiopia

    3,500 sq mi9,000 km² matching 80% or better

    For example Abala (78), Sheraro (73)

  6. 6

    🇳🇬Katsina State, Nigeria

    2,600 sq mi6,800 km² matching 80% or better

    For example Katsina (80), Daura (80)

  7. 7

    🇲🇱Mopti, Mali

    1,700 sq mi4,500 km² matching 80% or better

    For example Bandiagara (79), Bankass (76)

  8. 8

    🇲🇱Kayes, Mali

    1,200 sq mi3,000 km² matching 80% or better

    For example Diéma (75), Kita (74)

  9. 9

    🇪🇷Gash-Barka, Eritrea

    1,200 sq mi3,000 km² matching 80% or better

    For example Barentu (79), Himora (62)

  10. 10

    🇳🇬Yobe State, Nigeria

    900 sq mi2,300 km² matching 80% or better

    For example Daura (83), Potiskum (80)

  11. 11

    🇸🇩Southern Darfur, Sudan

    600 sq mi1,500 km² matching 80% or better

    For example Rahad al Bardi (78), Tullus (76)

  12. 12

    🇳🇬Kano State, Nigeria

    300 sq mi800 km² matching 80% or better

    For example Wudil (75), Gaya (73)

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

    🇸🇩DillingSouthern Kordofan, Sudan

    Zone 11b · No frost · 0 chill hours · 18 in rainZone 11b · No frost · 0 chill hours · 455 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: banana, cassava, sugarcane

    84%match
  2. 2

    🇸🇩Al ḨawātahAl Qaḑārif, Sudan

    Zone 12a · No frost · 0 chill hours · 16 in rainZone 12a · No frost · 0 chill hours · 413 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: banana, cassava, sugarcane

    83%match
  3. 3

    🇲🇱BanambaKoulikoro, Mali

    Zone 11a · No frost · 0 chill hours · 22 in rainZone 11a · No frost · 0 chill hours · 549 mm rain

    Shares 13 of your 15 great-fit crops

    82%match
  4. 4

    🇪🇹Tikil DingayAmhara, Ethiopia

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 805 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: cassava, sugarcane

    81%match
  5. 5

    🇳🇬KatsinaKatsina State, Nigeria

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 527 mm rain

    Shares 14 of your 15 great-fit crops

    80%match
  6. 6

    🇲🇱KolokaniKoulikoro, Mali

    Zone 11b · No frost · 0 chill hours · 24 in rainZone 11b · No frost · 0 chill hours · 611 mm rain

    Shares 12 of your 15 great-fit crops

    80%match
  7. 7

    🇳🇬DauraKatsina State, Nigeria

    Zone 11b · No frost · 0 chill hours · 20 in rainZone 11b · No frost · 0 chill hours · 506 mm rain

    Shares 13 of your 15 great-fit crops

    80%match
  8. 8

    🇳🇬PotiskumYobe State, Nigeria

    Zone 11a · No frost · 0 chill hours · 22 in rainZone 11a · No frost · 0 chill hours · 559 mm rain

    Shares 14 of your 15 great-fit crops

    80%match
  9. 9

    🇪🇷BarentuGash-Barka, Eritrea

    Zone 12a · No frost · 0 chill hours · 17 in rainZone 12a · No frost · 0 chill hours · 439 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: banana, cassava, sugarcane

    79%match
  10. 10

    🇳🇬DamaturuYobe State, Nigeria

    Zone 11a · No frost · 0 chill hours · 21 in rainZone 11a · No frost · 0 chill hours · 525 mm rain

    Shares 12 of your 15 great-fit crops

    78%match
  11. 11

    🇪🇹AbalaTigray, Ethiopia

    Zone 12b · No frost · 0 chill hours · 21 in rainZone 12b · No frost · 0 chill hours · 521 mm rain

    Shares 14 of your 15 great-fit crops

    78%match
  12. 12

    🇸🇩Rahad al BardiSouthern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 587 mm rain

    Shares 14 of your 15 great-fit crops

    78%match
  13. 13

    🇨🇲MoraFar North, Cameroon

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 665 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: cassava

    77%match
  14. 14

    🇳🇬KariBauchi, Nigeria

    Zone 11a · No frost · 0 chill hours · 28 in rainZone 11a · No frost · 0 chill hours · 722 mm rain

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

    77%match
  15. 15

    🇲🇱BankassMopti, Mali

    Zone 11b · No frost · 0 chill hours · 18 in rainZone 11b · No frost · 0 chill hours · 459 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: banana, cassava, sugarcane

    76%match
  16. 16

    🇸🇩TullusSouthern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 22 in rainZone 11b · No frost · 0 chill hours · 563 mm rain

    Shares 13 of your 15 great-fit crops

    76%match
  17. 17

    🇳🇬GwozaBorno State, Nigeria

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 692 mm rain

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

    75%match
  18. 18

    🇳🇬ChakwamaJigawa State, Nigeria

    Zone 11a · No frost · 0 chill hours · 30 in rainZone 11a · No frost · 0 chill hours · 754 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: cassava, sugarcane

    75%match
  19. 19

    🇳🇬DamboaBorno State, Nigeria

    Zone 11b · No frost · 0 chill hours · 25 in rainZone 11b · No frost · 0 chill hours · 647 mm rain

    Shares 12 of your 15 great-fit crops

    75%match
  20. 20

    🇲🇱SanSégou, Mali

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 572 mm rain

    Shares 12 of your 15 great-fit crops

    75%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 Al Qadarif: 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.