Climatch

Land with a climate like Bitam

🇬🇦Bitam, Woleu-Ntem, Gabon

The towns with the closest growing climate to Bitam are Ébolowa, Cameroon (99% match), Añisoc and Sangmélima. About 635,000 sq mi of land in 10 countries matches 80% or better, most of it in Acre, Brazil, Amazonas, Brazil and Mai-Ndombe, Democratic Republic of the Congo.The towns with the closest growing climate to Bitam are Ébolowa, Cameroon (99% match), Añisoc and Sangmélima. About 1.6 million km² of land in 10 countries matches 80% or better, most of it in Acre, Brazil, Amazonas, Brazil and Mai-Ndombe, Democratic Republic of the Congo.

Your growing climate

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

What grows in Bitam →

Regions with the most land like yours

  1. 1

    🇧🇷Acre, Brazil

    35k sq mi90k km² matching 80% or better

    For example Cruzeiro do Sul (86), Marechal Thaumaturgo (86)

  2. 2

    🇧🇷Amazonas, Brazil

    25k sq mi64k km² matching 80% or better

    For example Guajará (86), Ipixuna (83)

  3. 3

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    23k sq mi59k km² matching 80% or better

    For example Kutu (86), Nioki (86)

  4. 4

    🇨🇩Tshopo, Democratic Republic of the Congo

    22k sq mi58k km² matching 80% or better

    For example Kisangani (88), Yangambi (86)

  5. 5

    🇨🇬Cuvette, Republic of the Congo

    19k sq mi49k km² matching 80% or better

    For example Makoua (88), Owando (84)

  6. 6

    🇨🇩Équateur, Democratic Republic of the Congo

    13k sq mi33k km² matching 80% or better

    For example Bolenge (85), Mbandaka (85)

  7. 7

    🇨🇲South, Cameroon

    13k sq mi32k km² matching 80% or better

    For example Ébolowa (99), Sangmélima (99)

  8. 8

    🇨🇲Centre, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Mbalmayo (96), Makak (96)

  9. 9

    🇨🇬Sangha, Republic of the Congo

    9,000 sq mi23k km² matching 80% or better

    For example Pokola (87), Ouesso (86)

  10. 10

    🇨🇬Plateaux, Republic of the Congo

    8,700 sq mi22k km² matching 80% or better

    For example Djambala (87), Gamboma (78)

  11. 11

    🇵🇪San Martín Department, Peru

    7,100 sq mi18k km² matching 80% or better

    For example Moyobamba (85), Rioja (83)

  12. 12

    🇬🇦Ogooué-Ivindo, Gabon

    6,600 sq mi17k km² matching 80% or better

    For example Makokou (96)

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

    🇨🇲ÉbolowaSouth, Cameroon

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

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇬🇶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

    99%match
  3. 3

    🇨🇲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
  4. 4

    🇨🇲LolodorfSouth, Cameroon

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,044 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  5. 5

    🇨🇲MakakCentre, Cameroon

    Zone 12b · No frost · 0 chill hours · 74 in rainZone 12b · No frost · 0 chill hours · 1,868 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  6. 6

    🇬🇦MakokouOgooué-Ivindo, Gabon

    Zone 12b · No frost · 0 chill hours · 62 in rainZone 12b · No frost · 0 chill hours · 1,587 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  7. 7

    🇨🇲YaoundéCentre, Cameroon

    Zone 12b · No frost · 0 chill hours · 61 in rainZone 12b · No frost · 0 chill hours · 1,562 mm rain

    Shares 20 of your 20 great-fit crops

    93%match
  8. 8

    🇨🇲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

    91%match
  9. 9

    🇬🇶AconibeWele-Nzas, Equatorial Guinea

    Zone 12b · No frost · 0 chill hours · 78 in rainZone 12b · No frost · 0 chill hours · 1,987 mm rain

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

    89%match
  10. 10

    🇨🇩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

    88%match
  11. 11

    🇬🇶BataLitoral, Equatorial Guinea

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,179 mm rain

    Shares 19 of your 20 great-fit crops

    88%match
  12. 12

    🇨🇬MakouaCuvette, Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,351 mm rain

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

    88%match
  13. 13

    🇨🇬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)

    87%match
  14. 14

    🇨🇩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

    87%match
  15. 15

    🇧🇷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

    86%match
  16. 16

    🇨🇬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

    86%match
  17. 17

    🇨🇩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

    86%match
  18. 18

    🇨🇩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

    86%match
  19. 19

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

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,203 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: fig

    86%match
  20. 20

    🇧🇷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

    86%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 Bitam: 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.