Climatch

Land with a climate like Ohafia-Ifigh

🇳🇬Ohafia-Ifigh, Abia State, Nigeria

The towns with the closest growing climate to Ohafia-Ifigh are Owerri, Nigeria (99% match), Kwale and Benin City. About 974,000 sq mi of land in 17 countries matches 80% or better, most of it in Pará, Brazil, Rondônia, Brazil and Amazonas, Brazil.The towns with the closest growing climate to Ohafia-Ifigh are Owerri, Nigeria (99% match), Kwale and Benin City. About 2.5 million km² of land in 17 countries matches 80% or better, most of it in Pará, Brazil, Rondônia, Brazil and Amazonas, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 84 in rainZone 13a · No frost · 0 chill hours · 2,146 mm rain

What grows in Ohafia-Ifigh →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    61k sq mi158k km² matching 80% or better

    For example Novo Progresso (95), Jacareacanga (93)

  2. 2

    🇧🇷Rondônia, Brazil

    56k sq mi145k km² matching 80% or better

    For example Guajará Mirim (92), Nova Mamoré (92)

  3. 3

    🇧🇷Amazonas, Brazil

    54k sq mi141k km² matching 80% or better

    For example Apuí (95), Humaitá (90)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    20k sq mi52k km² matching 80% or better

    For example Bandundu Province (85), Dibaya-Lubwe (84)

  5. 5

    🇨🇲Centre, Cameroon

    17k sq mi43k km² matching 80% or better

    For example Eséka (94), Bafia (93)

  6. 6

    🇨🇴Vichada Department, Colombia

    10k sq mi27k km² matching 80% or better

    For example Cumaribo (83), Puerto Carreño (80)

  7. 7

    🇧🇴Beni Department, Bolivia

    10k sq mi27k km² matching 80% or better

    For example Guayaramerín (92), Riberalta (92)

  8. 8

    🇨🇩Kasai, Democratic Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Ilebo (85), Mweka (80)

  9. 9

    🇳🇬Delta, Nigeria

    9,200 sq mi24k km² matching 80% or better

    For example Kwale (99), Sapele (99)

  10. 10

    🇨🇲South-West, Cameroon

    8,900 sq mi23k km² matching 80% or better

    For example Mamfe (99), Kumba (97)

  11. 11

    🇳🇬Cross River State, Nigeria

    8,600 sq mi22k km² matching 80% or better

    For example Ikom (97), Calabar (96)

  12. 12

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    8,100 sq mi21k km² matching 80% or better

    For example Mushie (83), Dungu (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

    🇳🇬OwerriImo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,288 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇳🇬KwaleDelta, Nigeria

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,274 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇳🇬Benin CityEdo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  4. 4

    🇨🇲MamfeSouth-West, Cameroon

    Zone 13a · No frost · 0 chill hours · 100 in rainZone 13a · No frost · 0 chill hours · 2,539 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  5. 5

    🇳🇬SapeleDelta, Nigeria

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,412 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  6. 6

    🇳🇬AgborDelta, Nigeria

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,915 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    99%match
  7. 7

    🇳🇬EleleRivers State, Nigeria

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,442 mm rain

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

    99%match
  8. 8

    🇳🇬OnitshaAnambra, Nigeria

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,809 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  9. 9

    🇳🇬WarriDelta, Nigeria

    Zone 13a · No frost · 0 chill hours · 111 in rainZone 13a · No frost · 0 chill hours · 2,808 mm rain

    Shares 15 of your 17 great-fit crops

    98%match
  10. 10

    🇳🇬Ijebu OdeOgun State, Nigeria

    Zone 13a · No frost · 0 chill hours · 60 in rainZone 13a · No frost · 0 chill hours · 1,529 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  11. 11

    🇳🇬OndoOndo State, Nigeria

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,538 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    97%match
  12. 12

    🇳🇬AbakalikiEbonyi State, Nigeria

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,939 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  13. 13

    🇨🇲KumbaSouth-West, Cameroon

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,778 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: macadamia, strawberry

    97%match
  14. 14

    🇳🇬IkomCross River State, Nigeria

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,024 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  15. 15

    🇳🇬CalabarCross River State, Nigeria

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,693 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    96%match
  16. 16

    🇳🇬YenagoaBayelsa State, Nigeria

    Zone 13a · No frost · 0 chill hours · 115 in rainZone 13a · No frost · 0 chill hours · 2,927 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  17. 17

    🇨🇲EdéaLittoral, Cameroon

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,381 mm rain

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

    96%match
  18. 18

    🇳🇬OgojaCross River State, Nigeria

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,836 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  19. 19

    🇧🇷Novo Progresso↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,167 mm rain

    Shares 15 of your 17 great-fit crops

    95%match
  20. 20

    🇧🇷Apuí↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,943 mm rain

    Shares 15 of your 17 great-fit crops

    95%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 Ohafia-Ifigh: 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.