Climatch

Land with a climate like Scottburgh

🇿🇦Scottburgh, KwaZulu-Natal, South Africa

The towns with the closest growing climate to Scottburgh are Mandeni, South Africa (99% match), KwaDukuza and Richards Bay. About 232,000 sq mi of land in 15 countries matches 80% or better, most of it in São Paulo, Brazil, Mato Grosso do Sul, Brazil and Paraná, Brazil.The towns with the closest growing climate to Scottburgh are Mandeni, South Africa (99% match), KwaDukuza and Richards Bay. About 601,000 km² of land in 15 countries matches 80% or better, most of it in São Paulo, Brazil, Mato Grosso do Sul, Brazil and Paraná, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 38 in rainZone 11a · No frost · 0 chill hours · 953 mm rain

What grows in Scottburgh →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    36k sq mi92k km² matching 80% or better

    For example Tremembé (90), Salto (89)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    23k sq mi59k km² matching 80% or better

    For example Caarapó (85), Nova Andradina (84)

  3. 3

    🇧🇷Paraná, Brazil

    16k sq mi43k km² matching 80% or better

    For example Terra Rica (85), Paranavaí (84)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    15k sq mi39k km² matching 80% or better

    For example Tongaat (99), Ballitoville (99)

  5. 5

    🇦🇺Queensland, Australia

    11k sq mi29k km² matching 80% or better

    For example Hervey Bay (84), Capalaba (83)

  6. 6

    🇦🇷Corrientes, Argentina

    11k sq mi27k km² matching 80% or better

    For example Ituzaingó (82), Corrientes (82)

  7. 7

    🇺🇸Florida, United States

    9,200 sq mi24k km² matching 80% or better

    For example Ormond Beach (84), Edgewater (84)

  8. 8

    🇿🇦Eastern Cape, South Africa

    6,000 sq mi16k km² matching 80% or better

    For example East London (94), Gonubie (94)

  9. 9

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (79)

  10. 10

    🇨🇳Guangdong, China

    4,700 sq mi12k km² matching 80% or better

    For example Huanggang (78), Hepo (77)

  11. 11

    🇵🇾Ñeembucú Department, Paraguay

    3,200 sq mi8,300 km² matching 80% or better

    For example Pilar (81)

  12. 12

    🇨🇳Fujian, China

    2,200 sq mi5,600 km² matching 80% or better

    For example Shima (79), Xiamen (78)

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

    🇿🇦MandeniKwaZulu-Natal, South Africa

    Zone 11a · No frost · 5 chill hours · 37 in rainZone 11a · No frost · 5 chill hours · 947 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  2. 2

    🇿🇦KwaDukuzaKwaZulu-Natal, South Africa

    Zone 11a · No frost · 13 chill hours · 37 in rainZone 11a · No frost · 13 chill hours · 950 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇿🇦Richards BayKwaZulu-Natal, South Africa

    Zone 11a · No frost · 0 chill hours · 41 in rainZone 11a · No frost · 0 chill hours · 1,037 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, mango

    98%match
  4. 4

    🇿🇦MtubatubaKwaZulu-Natal, South Africa

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,070 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, mango

    97%match
  5. 5

    🇿🇦East LondonEastern Cape, South Africa

    Zone 11a · No frost · 4 chill hours · 35 in rainZone 11a · No frost · 4 chill hours · 891 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: lavender

    94%match
  6. 6

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: banana

    87%match
  7. 7

    🇿🇦Port AlfredEastern Cape, South Africa

    Zone 11a · No frost · 3 chill hours · 27 in rainZone 11a · No frost · 3 chill hours · 679 mm rain

    Shares 16 of your 23 great-fit crops · Also great there: lavender

    87%match
  8. 8

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: banana

    87%match
  9. 9

    🇧🇷Afonso CláudioEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 44 in rainZone 11a · No frost · 0 chill hours · 1,115 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango, banana

    86%match
  10. 10

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: banana

    86%match
  11. 11

    🇧🇷IguaíBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 937 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: mango

    86%match
  12. 12

    🇧🇷TaubatéSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,258 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    86%match
  13. 13

    🇧🇷ConchasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,168 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    86%match
  14. 14

    🇿🇦UlundiKwaZulu-Natal, South Africa

    Zone 10b · No frost · 32 chill hours · 32 in rainZone 10b · No frost · 32 chill hours · 823 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: lavender

    86%match
  15. 15

    🇧🇷São Francisco de ItabapoanaRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 957 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: mango

    86%match
  16. 16

    🇷🇪Le TamponReunion, Reunion

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,323 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, tea

    86%match
  17. 17

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, mango

    85%match
  18. 18

    🇧🇷PancasEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: mango

    85%match
  19. 19

    🇧🇷Terra RicaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,183 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, mango

    85%match
  20. 20

    🇧🇷CaarapóMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,463 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: banana, tea, mango

    85%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 Scottburgh: 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.