Climatch

Land with a climate like Lukuledi

🇹🇿Lukuledi, Mtwara, Tanzania

The towns with the closest growing climate to Lukuledi are Valença do Piauí, Brazil (96% match), Macomia and Chiúre. About 439,000 sq mi of land in 13 countries matches 80% or better, most of it in Maranhão, Brazil, Piauí, Brazil and Nampula, Mozambique.The towns with the closest growing climate to Lukuledi are Valença do Piauí, Brazil (96% match), Macomia and Chiúre. About 1.1 million km² of land in 13 countries matches 80% or better, most of it in Maranhão, Brazil, Piauí, Brazil and Nampula, Mozambique.

Your growing climate

Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 868 mm rain

What grows in Lukuledi →

Regions with the most land like yours

  1. 1

    🇧🇷Maranhão, Brazil

    44k sq mi114k km² matching 80% or better

    For example São Domingos do Maranhão (90), Fortuna (90)

  2. 2

    🇧🇷Piauí, Brazil

    44k sq mi113k km² matching 80% or better

    For example Valença do Piauí (96), Inhuma (95)

  3. 3

    🇲🇿Nampula, Mozambique

    27k sq mi69k km² matching 80% or better

    For example Namapa-erati (95), Nampula (92)

  4. 4

    🇲🇿Cabo Delgado Province, Mozambique

    22k sq mi58k km² matching 80% or better

    For example Macomia (95), Chiúre (95)

  5. 5

    🇮🇳Andhra Pradesh, India

    15k sq mi39k km² matching 80% or better

    For example Gorantla (86), Madanapalle (86)

  6. 6

    🇹🇿Lindi, Tanzania

    15k sq mi38k km² matching 80% or better

    For example Liwale (85), Lindi (84)

  7. 7

    🇧🇷Ceará, Brazil

    14k sq mi36k km² matching 80% or better

    For example Nova Olinda (92), Farias Brito (92)

  8. 8

    🇮🇳Karnataka, India

    13k sq mi33k km² matching 80% or better

    For example Bāgepalli (87), Gauribidanur (86)

  9. 9

    🇹🇿Morogoro, Tanzania

    11k sq mi28k km² matching 80% or better

    For example Msowero (92), Kilosa (90)

  10. 10

    🇹🇿Mtwara, Tanzania

    11k sq mi28k km² matching 80% or better

    For example Tandahimba (94), Kitama (94)

  11. 11

    🇲🇽Oaxaca, Mexico

    8,900 sq mi23k km² matching 80% or better

    For example Crucecita (87), Ixtepec (85)

  12. 12

    🇲🇲Sagaing Region, Myanmar

    7,500 sq mi19k km² matching 80% or better

    For example Ye-u (83), Kanbalu (82)

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

    🇧🇷Valença do PiauíPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 878 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  2. 2

    🇲🇿MacomiaCabo Delgado Province, Mozambique

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    95%match
  3. 3

    🇲🇿ChiúreCabo Delgado Province, Mozambique

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    95%match
  4. 4

    🇹🇿TandahimbaMtwara, Tanzania

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,047 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    94%match
  5. 5

    🇧🇷Castelo do PiauíPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  6. 6

    🇲🇿MontepuezCabo Delgado Province, Mozambique

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 970 mm rain

    Shares 17 of your 17 great-fit crops

    92%match
  7. 7

    🇲🇿NampulaMozambique

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,070 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat, macadamia

    92%match
  8. 8

    🇧🇷Juazeiro do NorteCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 912 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  9. 9

    🇧🇷AssaréCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 25 in rainZone 12b · No frost · 0 chill hours · 644 mm rain

    Shares 15 of your 17 great-fit crops

    91%match
  10. 10

    🇲🇿MonapoNampula, Mozambique

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 890 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  11. 11

    🇬🇹Guastatoya↻Seasons flipped. El Progreso, Guatemala

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,144 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    91%match
  12. 12

    🇹🇿KilosaMorogoro, Tanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 870 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wheat, canola (rapeseed), macadamia

    90%match
  13. 13

    🇧🇷Brejo SantoCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 740 mm rain

    Shares 17 of your 17 great-fit crops

    90%match
  14. 14

    🇲🇿Mocímboa da PraiaCabo Delgado Province, Mozambique

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 986 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    90%match
  15. 15

    🇲🇿NacalaNampula, Mozambique

    Zone 12b · No frost · 0 chill hours · 34 in rainZone 12b · No frost · 0 chill hours · 862 mm rain

    Shares 17 of your 17 great-fit crops

    90%match
  16. 16

    🇬🇹Chiquimula↻Seasons flipped. Guatemala

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 849 mm rain

    Shares 17 of your 17 great-fit crops

    89%match
  17. 17

    🇧🇷Buriti BravoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,069 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  18. 18

    🇧🇷Campos SalesCeará, Brazil

    Zone 12b · No frost · 0 chill hours · 21 in rainZone 12b · No frost · 0 chill hours · 527 mm rain

    Shares 13 of your 17 great-fit crops

    89%match
  19. 19

    🇧🇷AltosPiauí, Brazil

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,242 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  20. 20

    🇧🇷PicosPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 26 in rainZone 12b · No frost · 0 chill hours · 657 mm rain

    Shares 13 of your 17 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 Lukuledi: 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.