Climatch

Land with a climate like Pakur

🇮🇳Pakur, Jharkhand, India

The towns with the closest growing climate to Pakur are Basukinath, India (99% match), Bolpur and Barddhamān. About 154,000 sq mi of land in 6 countries matches 80% or better, most of it in Odisha, India, Bihar, India and West Bengal, India.The towns with the closest growing climate to Pakur are Basukinath, India (99% match), Bolpur and Barddhamān. About 400,000 km² of land in 6 countries matches 80% or better, most of it in Odisha, India, Bihar, India and West Bengal, India.

Your growing climate

Zone 10b · No frost · 7 chill hours · 56 in rainZone 10b · No frost · 7 chill hours · 1,434 mm rain

What grows in Pakur →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    32k sq mi82k km² matching 80% or better

    For example Baripāda (92), Rairangpur (92)

  2. 2

    🇮🇳Bihar, India

    31k sq mi79k km² matching 80% or better

    For example Bānka (99), Purāini (99)

  3. 3

    🇮🇳West Bengal, India

    30k sq mi77k km² matching 80% or better

    For example Beldānga (99), Kāndi (99)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    7,400 sq mi19k km² matching 80% or better

    For example Kalemyo (83), Mawlaik (83)

  5. 5

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Mohammadpur (99), Rajshahi (99)

  6. 6

    🇲🇲Kachin State, Myanmar

    4,300 sq mi11k km² matching 80% or better

    For example Bhamo (85), Mogaung (85)

  7. 7

    🇧🇩Rangpur Division, Bangladesh

    4,000 sq mi10k km² matching 80% or better

    For example Pīrgaaj (93), Dinajpur (92)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    3,000 sq mi7,800 km² matching 80% or better

    For example Bherāmāra (95), Kushtia (93)

  9. 9

    🇳🇵Madhesh, Nepal

    2,400 sq mi6,200 km² matching 80% or better

    For example Rājbirāj (92), Birgañj (91)

  10. 10

    🇳🇵Koshi, Nepal

    1,600 sq mi4,200 km² matching 80% or better

    For example Biratnagar (94), Inaruwa (94)

  11. 11

    🇳🇵Lumbini Province, Nepal

    1,100 sq mi2,700 km² matching 80% or better

    For example Butwāl (90), Siddharthanagar (84)

  12. 12

    🇹🇭Nong Khai, Thailand

    600 sq mi1,500 km² matching 80% or better

    For example Nong Khai (79), Tha Bo (78)

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

    🇮🇳BasukinathJharkhand, India

    Zone 10b · No frost · 11 chill hours · 54 in rainZone 10b · No frost · 11 chill hours · 1,370 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇮🇳BolpurWest Bengal, India

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,425 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇮🇳BarddhamānWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,438 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  4. 4

    🇮🇳ArāmbāghWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,306 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇩MohammadpurRajshahi Division, Bangladesh

    Zone 10b · No frost · 7 chill hours · 62 in rainZone 10b · No frost · 7 chill hours · 1,566 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: barley, avocado

    99%match
  6. 6

    🇮🇳BānkaBihar, India

    Zone 10b · Frost 1 years in 10 · 16 chill hours · 46 in rainZone 10b · Frost 1 years in 10 · 16 chill hours · 1,157 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  7. 7

    🇮🇳BhāgalpurBihar, India

    Zone 10b · No frost · 15 chill hours · 46 in rainZone 10b · No frost · 15 chill hours · 1,177 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  8. 8

    🇧🇩RajshahiRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 63 in rainZone 10b · No frost · 3 chill hours · 1,591 mm rain

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

    99%match
  9. 9

    🇮🇳ShāntipurWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 60 in rainZone 11a · No frost · 1 chill hours · 1,514 mm rain

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

    99%match
  10. 10

    🇮🇳PurniaBihar, India

    Zone 10b · No frost · 15 chill hours · 61 in rainZone 10b · No frost · 15 chill hours · 1,539 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  11. 11

    🇮🇳ManihāriBihar, India

    Zone 10b · No frost · 12 chill hours · 55 in rainZone 10b · No frost · 12 chill hours · 1,391 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  12. 12

    🇮🇳DeogharJharkhand, India

    Zone 10b · Frost 1 years in 10 · 14 chill hours · 50 in rainZone 10b · Frost 1 years in 10 · 14 chill hours · 1,272 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  13. 13

    🇮🇳RāiganjWest Bengal, India

    Zone 10b · No frost · 12 chill hours · 66 in rainZone 10b · No frost · 12 chill hours · 1,680 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: avocado

    97%match
  14. 14

    🇮🇳DurgapurWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 53 in rainZone 11a · No frost · 1 chill hours · 1,336 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  15. 15

    🇮🇳JāmtāraJharkhand, India

    Zone 10b · No frost · 6 chill hours · 50 in rainZone 10b · No frost · 6 chill hours · 1,278 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  16. 16

    🇮🇳ArāriaBihar, India

    Zone 10b · No frost · 11 chill hours · 77 in rainZone 10b · No frost · 11 chill hours · 1,954 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  17. 17

    🇮🇳SaharsaBihar, India

    Zone 10b · Frost 1 years in 10 · 23 chill hours · 48 in rainZone 10b · Frost 1 years in 10 · 23 chill hours · 1,218 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  18. 18

    🇮🇳BānkuraWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,245 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  19. 19

    🇮🇳BhātpāraWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,656 mm rain

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

    96%match
  20. 20

    🇮🇳BālurghātWest Bengal, India

    Zone 10b · No frost · 4 chill hours · 72 in rainZone 10b · No frost · 4 chill hours · 1,829 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: avocado, barley

    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 Pakur: 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.