Climatch

Land with a climate like 'Ārdamatā

🇸🇩'Ārdamatā, Western Darfur, Sudan

The towns with the closest growing climate to 'Ārdamatā are Sh'īarīah, Sudan (97% match), Abū Zabad and Nyala. About 309,000 sq mi of land in 8 countries matches 80% or better, most of it in Yobe State, Nigeria, Southern Darfur, Sudan and West Kordofan, Sudan.The towns with the closest growing climate to 'Ārdamatā are Sh'īarīah, Sudan (97% match), Abū Zabad and Nyala. About 799,000 km² of land in 8 countries matches 80% or better, most of it in Yobe State, Nigeria, Southern Darfur, Sudan and West Kordofan, Sudan.

Your growing climate

Zone 11a · No frost · 0 chill hours · 17 in rainZone 11a · No frost · 0 chill hours · 426 mm rain

What grows in 'Ārdamatā →

Regions with the most land like yours

  1. 1

    🇳🇬Yobe State, Nigeria

    19k sq mi48k km² matching 80% or better

    For example Nguru (94), Kumagunnam (94)

  2. 2

    🇸🇩Southern Darfur, Sudan

    18k sq mi48k km² matching 80% or better

    For example Nyala (95), Kas (92)

  3. 3

    🇸🇩West Kordofan, Sudan

    15k sq mi40k km² matching 80% or better

    For example Abū Zabad (96), An Nuhūd (94)

  4. 4

    🇲🇱Mopti, Mali

    15k sq mi38k km² matching 80% or better

    For example Bandiagara (86), Douentza (85)

  5. 5

    🇳🇪Zinder Region, Niger

    14k sq mi36k km² matching 80% or better

    For example Magaria (91), Matamey (90)

  6. 6

    🇸🇩North Kordofan, Sudan

    14k sq mi35k km² matching 80% or better

    For example El Obeid (93), Ar Rahad (92)

  7. 7

    🇳🇬Borno State, Nigeria

    11k sq mi28k km² matching 80% or better

    For example Monguno (86), Kukawa (85)

  8. 8

    🇲🇱Koulikoro, Mali

    9,800 sq mi25k km² matching 80% or better

    For example Nara (83), Banamba (79)

  9. 9

    🇳🇪Maradi Region, Niger

    7,600 sq mi20k km² matching 80% or better

    For example Tessaoua (84), Gazaoua (83)

  10. 10

    🇹🇩Ouadaï, Chad

    7,000 sq mi18k km² matching 80% or better

    For example Abéché (81)

  11. 11

    🇲🇱Ségou, Mali

    7,000 sq mi18k km² matching 80% or better

    For example Niono (83), Moninnpébougou (83)

  12. 12

    🇳🇬Jigawa State, Nigeria

    6,700 sq mi17k km² matching 80% or better

    For example Gumel (91), Hadejia (89)

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

    🇸🇩Sh'īarīahEastern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 12 in rainZone 11b · No frost · 0 chill hours · 305 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cacao

    97%match
  2. 2

    🇸🇩Abū ZabadWest Kordofan, Sudan

    Zone 11b · No frost · 0 chill hours · 14 in rainZone 11b · No frost · 0 chill hours · 367 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    96%match
  3. 3

    🇸🇩NyalaSouthern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 15 in rainZone 11b · No frost · 0 chill hours · 391 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    95%match
  4. 4

    🇳🇬NguruYobe State, Nigeria

    Zone 11a · No frost · 0 chill hours · 15 in rainZone 11a · No frost · 0 chill hours · 383 mm rain

    Shares 18 of your 20 great-fit crops

    94%match
  5. 5

    🇸🇩An NuhūdWest Kordofan, Sudan

    Zone 11b · No frost · 0 chill hours · 11 in rainZone 11b · No frost · 0 chill hours · 289 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cacao

    94%match
  6. 6

    🇸🇩DillingSouthern Kordofan, Sudan

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

    Shares 19 of your 20 great-fit crops · Also great there: cacao

    93%match
  7. 7

    🇸🇩El DaeinEastern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 15 in rainZone 11b · No frost · 0 chill hours · 381 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    93%match
  8. 8

    🇸🇩ZalinjayCentral Darfur, Sudan

    Zone 10b · No frost · 25 chill hours · 22 in rainZone 10b · No frost · 25 chill hours · 558 mm rain

    Shares 13 of your 20 great-fit crops

    93%match
  9. 9

    🇸🇩El ObeidNorth Kordofan, Sudan

    Zone 11b · No frost · 0 chill hours · 11 in rainZone 11b · No frost · 0 chill hours · 271 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cacao

    93%match
  10. 10

    🇸🇩Ar RahadNorth Kordofan, Sudan

    Zone 12a · No frost · 0 chill hours · 13 in rainZone 12a · No frost · 0 chill hours · 336 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    92%match
  11. 11

    🇸🇩GhubayshWest Kordofan, Sudan

    Zone 11b · No frost · 0 chill hours · 12 in rainZone 11b · No frost · 0 chill hours · 300 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    92%match
  12. 12

    🇳🇬GashuaYobe State, Nigeria

    Zone 11a · No frost · 0 chill hours · 13 in rainZone 11a · No frost · 0 chill hours · 337 mm rain

    Shares 18 of your 20 great-fit crops

    92%match
  13. 13

    🇸🇩KasSouthern Darfur, Sudan

    Zone 10b · No frost · 13 chill hours · 19 in rainZone 10b · No frost · 13 chill hours · 489 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: barley, potato

    92%match
  14. 14

    🇸🇩KabkābīyahNorthern Darfur, Sudan

    Zone 10b · No frost · 45 chill hours · 16 in rainZone 10b · No frost · 45 chill hours · 407 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: barley, potato

    91%match
  15. 15

    🇳🇬GumelJigawa State, Nigeria

    Zone 11a · No frost · 0 chill hours · 20 in rainZone 11a · No frost · 0 chill hours · 520 mm rain

    Shares 12 of your 20 great-fit crops

    91%match
  16. 16

    🇳🇪MagariaZinder Region, Niger

    Zone 11a · No frost · 0 chill hours · 17 in rainZone 11a · No frost · 0 chill hours · 428 mm rain

    Shares 19 of your 20 great-fit crops

    91%match
  17. 17

    🇸🇩GereidaSouthern Darfur, Sudan

    Zone 11b · No frost · 0 chill hours · 19 in rainZone 11b · No frost · 0 chill hours · 480 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: cacao

    90%match
  18. 18

    🇳🇬GeidamYobe State, Nigeria

    Zone 11a · No frost · 0 chill hours · 12 in rainZone 11a · No frost · 0 chill hours · 308 mm rain

    Shares 18 of your 20 great-fit crops

    90%match
  19. 19

    🇳🇪MatameyZinder Region, Niger

    Zone 11b · No frost · 0 chill hours · 15 in rainZone 11b · No frost · 0 chill hours · 378 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: cacao

    90%match
  20. 20

    🇹🇩Goz BeidaSila, Chad

    Zone 11b · No frost · 0 chill hours · 23 in rainZone 11b · No frost · 0 chill hours · 580 mm rain

    Shares 12 of your 20 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 'Ārdamatā: 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.