Climatch

Land with a climate like Ciudad de la Paz

🇬🇶Ciudad de la Paz, Djibloho, Equatorial Guinea

The towns with the closest growing climate to Ciudad de la Paz are Oyem, Gabon (99% match), Makokou and Bitam. About 80,000 sq mi of land in 7 countries matches 80% or better, most of it in South, Cameroon, Ogooué-Ivindo, Gabon and Wele-Nzas, Equatorial Guinea.The towns with the closest growing climate to Ciudad de la Paz are Oyem, Gabon (99% match), Makokou and Bitam. About 208,000 km² of land in 7 countries matches 80% or better, most of it in South, Cameroon, Ogooué-Ivindo, Gabon and Wele-Nzas, Equatorial Guinea.

Your growing climate

Zone 12b · No frost · 0 chill hours · 80 in rainZone 12b · No frost · 0 chill hours · 2,026 mm rain

What grows in Ciudad de la Paz →

Regions with the most land like yours

  1. 1

    🇨🇲South, Cameroon

    9,600 sq mi25k km² matching 80% or better

    For example Ambam (93), Ébolowa (89)

  2. 2

    🇬🇦Ogooué-Ivindo, Gabon

    6,600 sq mi17k km² matching 80% or better

    For example Makokou (98)

  3. 3

    🇬🇶Wele-Nzas, Equatorial Guinea

    5,700 sq mi15k km² matching 80% or better

  4. 4

    🇬🇦Woleu-Ntem, Gabon

    5,700 sq mi15k km² matching 80% or better

    For example Oyem (99), Bitam (94)

  5. 5

    🇬🇶Litoral, Equatorial Guinea

    3,900 sq mi10k km² matching 80% or better

    For example Bata (88)

  6. 6

    🇨🇬Cuvette, Republic of the Congo

    3,300 sq mi8,500 km² matching 80% or better

    For example Makoua (80), Owando (63)

  7. 7

    🇬🇦Estuaire, Gabon

    2,700 sq mi7,000 km² matching 80% or better

    For example Akanda (71), Ntoum (70)

  8. 8

    🇬🇶Djibloho, Equatorial Guinea

    1,800 sq mi4,600 km² matching 80% or better

  9. 9

    🇸🇹São Tomé Island, Sao Tome and Principe

    1,500 sq mi3,900 km² matching 80% or better

    For example São Tomé (82)

  10. 10

    🇨🇲Centre, Cameroon

    900 sq mi2,300 km² matching 80% or better

    For example Makak (80), Mbalmayo (77)

  11. 11

    🇨🇩Équateur, Democratic Republic of the Congo

    300 sq mi800 km² matching 80% or better

    For example Bolenge (78), Mbandaka (75)

  12. 12

    🇪🇨Esmeraldas, Ecuador

    300 sq mi800 km² matching 80% or better

    For example Rosa Zarate (59), San Lorenzo de Esmeraldas (58)

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

    🇬🇦OyemWoleu-Ntem, Gabon

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

    Shares 22 of your 23 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 23 great-fit crops

    98%match
  3. 3

    🇬🇦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 23 great-fit crops

    94%match
  4. 4

    🇨🇲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 23 great-fit crops

    93%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 23 great-fit crops

    89%match
  6. 6

    🇬🇶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 23 great-fit crops

    88%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 23 great-fit crops

    84%match
  8. 8

    🇨🇲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 23 great-fit crops

    83%match
  9. 9

    🇸🇹São ToméSão Tomé Island, Sao Tome and Principe

    Zone 13a · No frost · 0 chill hours · 67 in rainZone 13a · No frost · 0 chill hours · 1,693 mm rain

    Shares 19 of your 23 great-fit crops

    82%match
  10. 10

    🇨🇴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 23 great-fit crops

    80%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 23 great-fit crops · Also great there: fig

    80%match
  12. 12

    🇨🇲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 23 great-fit crops

    80%match
  13. 13

    🇨🇴TarquiHuila Department, Colombia

    Zone 12b · No frost · 0 chill hours · 56 in rainZone 12b · No frost · 0 chill hours · 1,410 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    79%match
  14. 14

    🇨🇲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 23 great-fit crops

    77%match
  15. 15

    🇵🇪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 23 great-fit crops

    75%match
  16. 16

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

    75%match
  17. 17

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

    74%match
  18. 18

    🇮🇩PangururanNorth Sumatra, Indonesia

    Zone 12b · No frost · 0 chill hours · 103 in rainZone 12b · No frost · 0 chill hours · 2,614 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: potato

    74%match
  19. 19

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

    73%match
  20. 20

    🇮🇩TarutungNorth Sumatra, Indonesia

    Zone 12b · No frost · 0 chill hours · 100 in rainZone 12b · No frost · 0 chill hours · 2,549 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: potato

    73%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 Ciudad de la Paz: 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.