Climatch

Land with a climate like eSikhaleni

🇿🇦eSikhaleni, KwaZulu-Natal, South Africa

The towns with the closest growing climate to eSikhaleni are Durban, South Africa (99% match), KwaDukuza and Scottburgh. About 516,000 sq mi of land in 22 countries matches 80% or better, most of it in São Paulo, Brazil, Mato Grosso do Sul, Brazil and Florida, United States.The towns with the closest growing climate to eSikhaleni are Durban, South Africa (99% match), KwaDukuza and Scottburgh. About 1.3 million km² of land in 22 countries matches 80% or better, most of it in São Paulo, Brazil, Mato Grosso do Sul, Brazil and Florida, United States.

Your growing climate

Zone 11a · No frost · 0 chill hours · 40 in rainZone 11a · No frost · 0 chill hours · 1,011 mm rain

What grows in eSikhaleni →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    47k sq mi121k km² matching 80% or better

    For example Rosana (94), Teodoro Sampaio (89)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    38k sq mi99k km² matching 80% or better

    For example Itaquiraí (93), Caarapó (93)

  3. 3

    🇺🇸Florida, United States

    37k sq mi97k km² matching 80% or better

    For example New Smyrna Beach (91), Edgewater (91)

  4. 4

    🇧🇷Paraná, Brazil

    37k sq mi96k km² matching 80% or better

    For example Paranavaí (93), Terra Rica (93)

  5. 5

    🇦🇷Corrientes, Argentina

    25k sq mi65k km² matching 80% or better

    For example Ituzaingó (91), Corrientes (91)

  6. 6

    🇦🇺Queensland, Australia

    22k sq mi56k km² matching 80% or better

    For example Hervey Bay (92), Bundaberg (90)

  7. 7

    🇦🇷Chaco, Argentina

    15k sq mi38k km² matching 80% or better

    For example Barranqueras (90), Resistencia (89)

  8. 8

    🇿🇦KwaZulu-Natal, South Africa

    14k sq mi35k km² matching 80% or better

    For example Shakaskraal (99), Ballitoville (99)

  9. 9

    🇦🇷Misiones, Argentina

    13k sq mi34k km² matching 80% or better

    For example Jardín América (86), Montecarlo (86)

  10. 10

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (88), Caaguazú (87)

  11. 11

    🇵🇾Concepción, Paraguay

    5,500 sq mi14k km² matching 80% or better

    For example Yby Yaú (84), Concepción (72)

  12. 12

    🇲🇬Atsimo-Atsinanana, Madagascar

    5,200 sq mi14k km² matching 80% or better

    For example Vondrozo (91), Vohipaho (74)

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

    🇿🇦DurbanKwaZulu-Natal, South Africa

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 951 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: wine grapes, table and raisin grapes

    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 21 of your 23 great-fit crops · Also great there: wine grapes, table and raisin grapes

    99%match
  3. 3

    🇿🇦ScottburghKwaZulu-Natal, South Africa

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

    Shares 21 of your 23 great-fit crops · Also great there: wine grapes, table and raisin grapes

    99%match
  4. 4

    🇿🇦Port ShepstoneKwaZulu-Natal, South Africa

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

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

    95%match
  5. 5

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 22 of your 23 great-fit crops

    93%match
  6. 6

    🇧🇷Terra RicaParaná, Brazil

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

    Shares 23 of your 23 great-fit crops

    93%match
  7. 7

    🇧🇷ItaquiraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,470 mm rain

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

    93%match
  8. 8

    🇧🇷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 23 of your 23 great-fit crops · Also great there: tea

    93%match
  9. 9

    🇧🇷ColoradoParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,253 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  10. 10

    🇦🇺Hervey BayQueensland, Australia

    Zone 10b · No frost · 10 chill hours · 44 in rainZone 10b · No frost · 10 chill hours · 1,126 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  11. 11

    🇧🇷NaviraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,472 mm rain

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

    92%match
  12. 12

    🇧🇷GuaíraParaná, Brazil

    Zone 11a · No frost · 1 chill hours · 61 in rainZone 11a · No frost · 1 chill hours · 1,562 mm rain

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

    92%match
  13. 13

    🇧🇷LoandaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,232 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  14. 14

    🇲🇿Xai-XaiGaza Province, Mozambique

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 982 mm rain

    Shares 20 of your 23 great-fit crops

    91%match
  15. 15

    🇵🇾PilarÑeembucú Department, Paraguay

    Zone 10b · No frost · 11 chill hours · 53 in rainZone 10b · No frost · 11 chill hours · 1,343 mm rain

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

    91%match
  16. 16

    🇲🇬VondrozoAtsimo-Atsinanana, Madagascar

    Zone 11b · No frost · 0 chill hours · 73 in rainZone 11b · No frost · 0 chill hours · 1,858 mm rain

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

    91%match
  17. 17

    🇵🇾CaazapáParaguay

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,410 mm rain

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

    91%match
  18. 18

    🇦🇷ItuzaingóCorrientes, Argentina

    Zone 11a · No frost · 9 chill hours · 55 in rainZone 11a · No frost · 9 chill hours · 1,403 mm rain

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

    91%match
  19. 19

    🇦🇷CorrientesArgentina

    Zone 10b · No frost · 18 chill hours · 54 in rainZone 10b · No frost · 18 chill hours · 1,368 mm rain

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

    91%match
  20. 20

    🇧🇷AmambaiMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,542 mm rain

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

    91%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 eSikhaleni: 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.