Climatch

Land with a climate like Nangomba

🇹🇿Nangomba, Mtwara, Tanzania

The towns with the closest growing climate to Nangomba are Nanganga, Tanzania (99% match), Chiúre and Montepuez. About 407,000 sq mi of land in 11 countries matches 80% or better, most of it in Piauí, Brazil, Maranhão, Brazil and Cabo Delgado Province, Mozambique.The towns with the closest growing climate to Nangomba are Nanganga, Tanzania (99% match), Chiúre and Montepuez. About 1.1 million km² of land in 11 countries matches 80% or better, most of it in Piauí, Brazil, Maranhão, Brazil and Cabo Delgado Province, Mozambique.

Your growing climate

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

What grows in Nangomba →

Regions with the most land like yours

  1. 1

    🇧🇷Piauí, Brazil

    51k sq mi133k km² matching 80% or better

    For example Valença do Piauí (95), Inhuma (94)

  2. 2

    🇧🇷Maranhão, Brazil

    33k sq mi85k km² matching 80% or better

    For example Fortuna (88), São Domingos do Maranhão (88)

  3. 3

    🇲🇿Cabo Delgado Province, Mozambique

    21k sq mi54k km² matching 80% or better

    For example Chiúre (97), Montepuez (96)

  4. 4

    🇲🇿Nampula, Mozambique

    18k sq mi46k km² matching 80% or better

    For example Namapa-erati (96), Nampula (87)

  5. 5

    🇹🇿Lindi, Tanzania

    13k sq mi33k km² matching 80% or better

    For example Nyangao (96), Ruangwa (94)

  6. 6

    🇮🇳Telangana, India

    10k sq mi27k km² matching 80% or better

    For example Sathupalli (85), Sādpalli (85)

  7. 7

    🇹🇿Ruvuma, Tanzania

    10k sq mi27k km² matching 80% or better

    For example Tunduru (83), Maposeni (61)

  8. 8

    🇲🇽Oaxaca, Mexico

    10k sq mi26k km² matching 80% or better

    For example Ixtepec (92), Heroica Ciudad de Juchitán de Zaragoza (90)

  9. 9

    🇹🇿Mtwara, Tanzania

    9,700 sq mi25k km² matching 80% or better

    For example Nanganga (99), Tandahimba (89)

  10. 10

    🇲🇿Tete, Mozambique

    9,200 sq mi24k km² matching 80% or better

    For example Moatize (86), Tete (83)

  11. 11

    🇲🇽Guerrero, Mexico

    8,800 sq mi23k km² matching 80% or better

    For example Zumpango del Río (84), Ometepec (83)

  12. 12

    🇲🇲Mandalay Region, Myanmar

    8,400 sq mi22k km² matching 80% or better

    For example Madaya (84), Meiktila (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

    🇹🇿NangangaMtwara, Tanzania

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 826 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇲🇿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

    97%match
  3. 3

    🇲🇿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

    96%match
  4. 4

    🇧🇷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

    95%match
  5. 5

    🇲🇽Suchiapa↻Seasons flipped. Chiapas, Mexico

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,067 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  6. 6

    🇲🇿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

    94%match
  7. 7

    🇹🇿RuangwaLindi, Tanzania

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 833 mm rain

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

    94%match
  8. 8

    🇧🇷OeirasPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 797 mm rain

    Shares 15 of your 17 great-fit crops

    93%match
  9. 9

    🇧🇷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

    92%match
  10. 10

    🇧🇷JaicósPiauí, Brazil

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 572 mm rain

    Shares 14 of your 17 great-fit crops

    91%match
  11. 11

    🇧🇷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

    90%match
  12. 12

    🇲🇽Heroica Ciudad de Juchitán de Zaragoza↻Seasons flipped. Oaxaca, Mexico

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,109 mm rain

    Shares 14 of your 17 great-fit crops

    90%match
  13. 13

    🇬🇹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
  14. 14

    🇲🇽Villaflores↻Seasons flipped. Chiapas, Mexico

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,160 mm rain

    Shares 15 of your 17 great-fit crops

    88%match
  15. 15

    🇧🇷São Domingos do MaranhãoMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,053 mm rain

    Shares 15 of your 17 great-fit crops

    88%match
  16. 16

    🇧🇷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

    88%match
  17. 17

    🇲🇽Crucecita↻Seasons flipped. Oaxaca, Mexico

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,191 mm rain

    Shares 15 of your 17 great-fit crops

    87%match
  18. 18

    🇲🇿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

    87%match
  19. 19

    🇹🇿LiwaleLindi, Tanzania

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 820 mm rain

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

    87%match
  20. 20

    🇧🇷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

    87%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 Nangomba: 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.