Climatch

Land with a climate like Ébolowa

🇨🇲Ébolowa, South, Cameroon

The towns with the closest growing climate to Ébolowa are Sangmélima, Cameroon (99% match), Bitam and Mbalmayo. About 991,000 sq mi of land in 18 countries matches 80% or better, most of it in Amazonas, Brazil, Acre, Brazil and Mai-Ndombe, Democratic Republic of the Congo.The towns with the closest growing climate to Ébolowa are Sangmélima, Cameroon (99% match), Bitam and Mbalmayo. About 2.6 million km² of land in 18 countries matches 80% or better, most of it in Amazonas, Brazil, Acre, Brazil and Mai-Ndombe, Democratic Republic of the Congo.

Your growing climate

Zone 13a · No frost · 0 chill hours · 70 in rainZone 13a · No frost · 0 chill hours · 1,785 mm rain

What grows in Ébolowa →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    61k sq mi157k km² matching 80% or better

    For example Guajará (89), Boca do Acre (86)

  2. 2

    🇧🇷Acre, Brazil

    46k sq mi119k km² matching 80% or better

    For example Cruzeiro do Sul (90), Marechal Thaumaturgo (90)

  3. 3

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    27k sq mi69k km² matching 80% or better

    For example Kutu (90), Inongo (88)

  4. 4

    🇨🇩Tshopo, Democratic Republic of the Congo

    23k sq mi59k km² matching 80% or better

    For example Kisangani (90), Yangambi (89)

  5. 5

    🇨🇬Cuvette, Republic of the Congo

    19k sq mi49k km² matching 80% or better

    For example Oyo (87), Mossaka (87)

  6. 6

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Binga (87), Lisala (84)

  7. 7

    🇨🇲Centre, Cameroon

    15k sq mi39k km² matching 80% or better

    For example Mbalmayo (99), Yaoundé (97)

  8. 8

    🇨🇲South, Cameroon

    13k sq mi34k km² matching 80% or better

    For example Sangmélima (99), Kribi (87)

  9. 9

    🇨🇬Likouala, Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Impfondo (87), Bétou (82)

  10. 10

    🇨🇲East, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Abong Mbang (90), Yokadouma (82)

  11. 11

    🇧🇷Rondônia, Brazil

    11k sq mi28k km² matching 80% or better

    For example Porto Velho (80), Candeias do Jamari (79)

  12. 12

    🇨🇬Plateaux, Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Djambala (91), Gamboma (83)

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

    🇨🇲SangmélimaSouth, Cameroon

    Zone 12b · No frost · 0 chill hours · 61 in rainZone 12b · No frost · 0 chill hours · 1,556 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇬🇦BitamWoleu-Ntem, Gabon

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,626 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  3. 3

    🇨🇲MbalmayoCentre, Cameroon

    Zone 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,568 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  4. 4

    🇬🇶AñisocWele-Nzas, Equatorial Guinea

    Zone 12b · No frost · 0 chill hours · 77 in rainZone 12b · No frost · 0 chill hours · 1,945 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  5. 5

    🇨🇲AkonolingaCentre, Cameroon

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,476 mm rain

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

    96%match
  6. 6

    🇬🇦OyemWoleu-Ntem, Gabon

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,725 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), coffee (arabica)

    96%match
  7. 7

    🇨🇲EsékaCentre, Cameroon

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,012 mm rain

    Shares 19 of your 20 great-fit crops

    95%match
  8. 8

    🇨🇲ObalaCentre, Cameroon

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,560 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  9. 9

    🇨🇬Djambala↻Seasons flipped. Plateaux, Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,775 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica)

    91%match
  10. 10

    🇨🇬OuessoSangha, Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,320 mm rain

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

    91%match
  11. 11

    🇨🇲Abong MbangEast, Cameroon

    Zone 12b · No frost · 0 chill hours · 58 in rainZone 12b · No frost · 0 chill hours · 1,469 mm rain

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

    90%match
  12. 12

    🇨🇩Kutu↻Seasons flipped. Mai-Ndombe, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,309 mm rain

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

    90%match
  13. 13

    🇨🇩Lodja↻Seasons flipped. Sankuru, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,388 mm rain

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

    90%match
  14. 14

    🇬🇭NkawkawEastern, Ghana

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,371 mm rain

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

    90%match
  15. 15

    🇨🇩KisanganiTshopo, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,489 mm rain

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

    90%match
  16. 16

    🇧🇷Cruzeiro do Sul↻Seasons flipped. Acre, Brazil

    Zone 12b · No frost · 0 chill hours · 82 in rainZone 12b · No frost · 0 chill hours · 2,088 mm rain

    Shares 19 of your 20 great-fit crops

    90%match
  17. 17

    🇧🇷Marechal Thaumaturgo↻Seasons flipped. Acre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,803 mm rain

    Shares 19 of your 20 great-fit crops

    90%match
  18. 18

    🇨🇩YangambiTshopo, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,459 mm rain

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

    89%match
  19. 19

    🇨🇩Lukula↻Seasons flipped. Sankuru, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,390 mm rain

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

    88%match
  20. 20

    🇨🇲MbandjokCentre, Cameroon

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,485 mm rain

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

    88%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 Ébolowa: 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.