Climatch

Land with a climate like Oyem

🇬🇦Oyem, Woleu-Ntem, Gabon

The towns with the closest growing climate to Oyem are Añisoc, Equatorial Guinea (99% match), Makokou and Ambam. About 202,000 sq mi of land in 8 countries matches 80% or better, most of it in South, Cameroon, Tshopo, Democratic Republic of the Congo and Ogooué-Ivindo, Gabon.The towns with the closest growing climate to Oyem are Añisoc, Equatorial Guinea (99% match), Makokou and Ambam. About 522,000 km² of land in 8 countries matches 80% or better, most of it in South, Cameroon, Tshopo, Democratic Republic of the Congo and Ogooué-Ivindo, Gabon.

Your growing climate

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

What grows in Oyem →

Regions with the most land like yours

  1. 1

    🇨🇲South, Cameroon

    11k sq mi28k km² matching 80% or better

    For example Ambam (99), Ébolowa (96)

  2. 2

    🇨🇩Tshopo, Democratic Republic of the Congo

    9,600 sq mi25k km² matching 80% or better

    For example Babamba (81), Yangambi (80)

  3. 3

    🇬🇦Ogooué-Ivindo, Gabon

    6,600 sq mi17k km² matching 80% or better

    For example Makokou (99)

  4. 4

    🇨🇲Centre, Cameroon

    6,000 sq mi15k km² matching 80% or better

    For example Makak (89), Mbalmayo (88)

  5. 5

    🇬🇶Wele-Nzas, Equatorial Guinea

    5,700 sq mi15k km² matching 80% or better

    For example Añisoc (99), Aconibe (98)

  6. 6

    🇬🇦Woleu-Ntem, Gabon

    5,700 sq mi15k km² matching 80% or better

  7. 7

    🇨🇬Sangha, Republic of the Congo

    5,100 sq mi13k km² matching 80% or better

    For example Pokola (79), Ouesso (77)

  8. 8

    🇨🇬Cuvette, Republic of the Congo

    3,900 sq mi10k km² matching 80% or better

    For example Makoua (84), Owando (75)

  9. 9

    🇬🇶Litoral, Equatorial Guinea

    3,900 sq mi10k km² matching 80% or better

    For example Bata (88)

  10. 10

    🇨🇩Équateur, Democratic Republic of the Congo

    3,600 sq mi9,300 km² matching 80% or better

    For example Bolenge (82), Mbandaka (80)

  11. 11

    🇵🇪San Martín Department, Peru

    2,700 sq mi6,900 km² matching 80% or better

    For example Moyobamba (83), Rioja (80)

  12. 12

    🇨🇩Sankuru, Democratic Republic of the Congo

    2,100 sq mi5,400 km² matching 80% or better

    For example Lodja (77), Lukula (73)

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

    🇬🇶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 22 great-fit crops

    99%match
  2. 2

    🇬🇦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 22 great-fit crops

    99%match
  3. 3

    🇨🇲AmbamSouth, Cameroon

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,688 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  4. 4

    🇬🇶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 22 of your 22 great-fit crops · Also great there: barley, potato

    98%match
  5. 5

    🇨🇲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 22 great-fit crops

    96%match
  6. 6

    🇨🇲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 22 great-fit crops

    94%match
  7. 7

    🇨🇲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 22 great-fit crops

    91%match
  8. 8

    🇨🇲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 22 great-fit crops

    89%match
  9. 9

    🇨🇲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 22 great-fit crops

    88%match
  10. 10

    🇬🇶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 22 great-fit crops

    88%match
  11. 11

    🇨🇬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 22 great-fit crops · Also great there: fig

    84%match
  12. 12

    🇵🇪Moyobamba↻Seasons flipped. San Martín Department, Peru

    Zone 12b · No frost · 0 chill hours · 63 in rainZone 12b · No frost · 0 chill hours · 1,608 mm rain

    Shares 22 of your 22 great-fit crops

    83%match
  13. 13

    🇨🇴GiganteHuila Department, Colombia

    Zone 12b · No frost · 0 chill hours · 59 in rainZone 12b · No frost · 0 chill hours · 1,500 mm rain

    Shares 22 of your 22 great-fit crops

    82%match
  14. 14

    🇨🇲OkoaCentre, Cameroon

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,517 mm rain

    Shares 20 of your 22 great-fit crops

    82%match
  15. 15

    🇨🇴GuadalupeHuila Department, Colombia

    Zone 12b · No frost · 0 chill hours · 55 in rainZone 12b · No frost · 0 chill hours · 1,395 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: fig, barley, potato

    81%match
  16. 16

    🇨🇩BabambaTshopo, Democratic Republic of the Congo

    Zone 12b · No frost · 0 chill hours · 58 in rainZone 12b · No frost · 0 chill hours · 1,473 mm rain

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

    81%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 22 great-fit crops · Also great there: fig

    80%match
  18. 18

    🇨🇩MbandakaÉquateur, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,473 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: fig

    80%match
  19. 19

    🇨🇩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 22 great-fit crops · Also great there: fig

    80%match
  20. 20

    🇨🇬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 21 of your 22 great-fit crops

    79%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 Oyem: 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.