Climatch

Land with a climate like Harper

🇱🇷Harper, Maryland County, Liberia

The towns with the closest growing climate to Harper are Pelabuhanratu, Indonesia (93% match), Gnépasso and Pandeglang. About 1.2 million sq mi of land in 22 countries matches 80% or better, most of it in Amazonas, Brazil, Jambi, Indonesia and South Sumatra, Indonesia.The towns with the closest growing climate to Harper are Pelabuhanratu, Indonesia (93% match), Gnépasso and Pandeglang. About 3.1 million km² of land in 22 countries matches 80% or better, most of it in Amazonas, Brazil, Jambi, Indonesia and South Sumatra, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 103 in rainZone 13a · No frost · 0 chill hours · 2,623 mm rain

What grows in Harper →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    104k sq mi269k km² matching 80% or better

    For example Presidente Figueiredo (84), Novo Airão (84)

  2. 2

    🇮🇩Jambi, Indonesia

    23k sq mi60k km² matching 80% or better

    For example Mendaha (86), Kuala Tungkal (86)

  3. 3

    🇮🇩South Sumatra, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Tanjungagung (87), Lubuklinggau (86)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    18k sq mi46k km² matching 80% or better

    For example Pangkalanbuun (88), Sampit (82)

  5. 5

    🇲🇾Sabah, Malaysia

    15k sq mi38k km² matching 80% or better

    For example Kinarut (86), Tambunan (86)

  6. 6

    🇵🇭Zamboanga Peninsula, Philippines

    11k sq mi28k km² matching 80% or better

    For example Pagadian (84), Muricay (83)

  7. 7

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    10k sq mi27k km² matching 80% or better

    For example Marawi City (88), Wao (88)

  8. 8

    🇧🇷Acre, Brazil

    10k sq mi27k km² matching 80% or better

    For example Mâncio Lima (82), Cruzeiro do Sul (81)

  9. 9

    🇨🇩Équateur, Democratic Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Bolenge (84), Mbandaka (84)

  10. 10

    🇵🇭Soccsksargen, Philippines

    8,300 sq mi22k km² matching 80% or better

    For example Lake Sebu (90), Iligan City (90)

  11. 11

    🇨🇴Vaupés, Colombia

    7,200 sq mi19k km² matching 80% or better

    For example Mitú (84)

  12. 12

    🇨🇴Antioquia, Colombia

    7,100 sq mi18k km² matching 80% or better

    For example Segovia (82), San Pedro de Urabá (79)

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

    🇮🇩Pelabuhanratu↻Seasons flipped. West Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 124 in rainZone 13a · No frost · 0 chill hours · 3,160 mm rain

    Shares 16 of your 18 great-fit crops

    93%match
  2. 2

    🇨🇮GnépassoBas-Sassandra District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,872 mm rain

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

    92%match
  3. 3

    🇮🇩Pandeglang↻Seasons flipped. Banten, Indonesia

    Zone 13a · No frost · 0 chill hours · 118 in rainZone 13a · No frost · 0 chill hours · 2,991 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  4. 4

    🇱🇷GreenvilleSinoe County, Liberia

    Zone 13a · No frost · 0 chill hours · 157 in rainZone 13a · No frost · 0 chill hours · 3,991 mm rain

    Shares 12 of your 18 great-fit crops

    92%match
  5. 5

    🇮🇩Manokwari↻Seasons flipped. West Papua, Indonesia

    Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,788 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  6. 6

    🇵🇭Manolo FortichNorthern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,779 mm rain

    Shares 17 of your 18 great-fit crops

    91%match
  7. 7

    🇵🇭Lake SebuSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,925 mm rain

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

    90%match
  8. 8

    🇮🇩Cilacap↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,708 mm rain

    Shares 18 of your 18 great-fit crops

    90%match
  9. 9

    🇵🇭Iligan CitySoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,696 mm rain

    Shares 18 of your 18 great-fit crops

    90%match
  10. 10

    🇮🇩Tanjung Pandan↻Seasons flipped. Bangka–Belitung Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 111 in rainZone 13b · No frost · 0 chill hours · 2,821 mm rain

    Shares 16 of your 18 great-fit crops

    89%match
  11. 11

    🇮🇩Bandar Lampung↻Seasons flipped. Lampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,134 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: avocado

    89%match
  12. 12

    🇵🇭NununganNorthern Mindanao, Philippines

    Zone 12b · No frost · 0 chill hours · 119 in rainZone 12b · No frost · 0 chill hours · 3,028 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: wheat

    89%match
  13. 13

    🇮🇩Muntok↻Seasons flipped. Bangka–Belitung Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,767 mm rain

    Shares 16 of your 18 great-fit crops

    88%match
  14. 14

    🇮🇩Pangkalanbuun↻Seasons flipped. Central Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 110 in rainZone 13b · No frost · 0 chill hours · 2,786 mm rain

    Shares 15 of your 18 great-fit crops

    88%match
  15. 15

    🇲🇾Paya TerubongPenang, Malaysia

    Zone 13b · No frost · 0 chill hours · 117 in rainZone 13b · No frost · 0 chill hours · 2,975 mm rain

    Shares 15 of your 18 great-fit crops

    88%match
  16. 16

    🇨🇮San-PédroBas-Sassandra District, Ivory Coast

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,665 mm rain

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

    88%match
  17. 17

    🇵🇭KidapawanSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

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

    87%match
  18. 18

    🇮🇩Ransiki↻Seasons flipped. West Papua, Indonesia

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,863 mm rain

    Shares 16 of your 18 great-fit crops

    87%match
  19. 19

    🇵🇭JoloAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,776 mm rain

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

    87%match
  20. 20

    🇲🇾KuahKedah, Malaysia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,503 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: avocado

    87%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 Harper: 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.