Velopedia Bicycle Archive

Compare Bicycles

Compare published geometry, gearing and specifications for up to three bicycles.

1 of 2 bicycles

At a glance

Key differences

Supported differences are shown below. Data limitations are labeled separately.

  1. Handling

    2001 Fuji Nevada has a 1.0° slacker head-tube angle than 2000 Fuji Nevada in the archived geometry. Frame size is not identified for 2001 Fuji Nevada and 2000 Fuji Nevada.

    Fork offset, tire size and wheelbase also affect steering; head angle alone is not a handling verdict.

  2. Gearing

    2001 Fuji Nevada has a 8% lower climbing ratio than 2000 Fuji Nevada.

    A lower ratio gives more mechanical advantage; rear-wheel rollout determines distance per crank turn.

Gearing comparison

Lower gears help on climbs. Higher gears suit higher speeds.

RPM

RPM = pedal turns per minute.

2001 Fuji NevadaSize Legacy reference · 42/32/22T · 11–30T · 8-speed
Lowest0.73:1Highest3.82:1Total range521%
Estimated speed at 90 RPMLowest gear5.1 mphHighest gear26.6 mph

Uses front tire 26×2; rear size isn’t listed.

2000 Fuji NevadaSize Legacy reference · 42/34/24T · 11–30T · 8-speed
Lowest0.80:1Highest3.82:1Total range477%
Estimated speed at 90 RPMLowest gear5.6 mphHighest gear26.8 mph

Rear tire: 26×2.1.

How it works

Ratio = front teeth ÷ rear teeth. Hub gears also include the hub’s internal ratio. A 400% range means the highest ratio is four times the lowest.

Speeds are estimates from tire size and pedal cadence. Actual speeds vary.

Try other gearing

Complete specification tableShows different published values and gaps where a bicycle lacks data. Different wording reflects source language, not necessarily different components. Swipe for more columns.
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Specification
2001 Fuji Nevada
2000 Fuji Nevada
Overview
Model Year
2001
2000
Brand
Fuji
Fuji
Model
Nevada
Nevada
Bicycle Type
Mountain bike, front suspension
Mountain bike, front suspension
Original MSRP
$340.00
$299.99
Colors
Black/Blue
Black/Silver Two Tone, Blue/Red Two Tone
Sizes
13, 15, 17, 19, 20.5, 22, 24
15", 17", 19", 20.5", 22", 24"
Weight
29.8 lb
—
Frameset
Frame Construction
TIG-welded
TIG-welded
Frame Material
7005 aluminum w/replaceable derailleur hanger
7005 aluminum
Fork
RST 321 SL, 3.0" travel
RST 281-R
Fork Material
Aluminum, aero crown
Aluminum, triple-clamp crown
Drivetrain
Component Group
Mountain Mix
Mountain Mix
Shifters
Shimano Altus C90 EZ Fire Plus
Shimano Acera EZ Fire Plus
Front Derailleur
Shimano Alivio, top-pull/clamp-on 31.8mm
Shimano Altus C90 top-swing, clamp-on 31.8mm
Rear Derailleur
Shimano Acera
Shimano Acera
Crankset
Suntour aluminum, 22/32/42 teeth
SR XR180, 24/34/42 teeth
Bottom Bracket
VP sealed, 124.5mm spindle
VP, 113mm spindle
BB Shell Width
68mm English
—
Rear Cogs
8-speed, 11 - 30 teeth
8-speed, 11 - 30 teeth
Chain
Shimano CN-UG50, 1/2 x 1/8"
Shimano CN-IG31, 1/2 x 3/32"
Pedals
Wellgo resin
Vp
Brakes
Brakes
Aluminum linear-pull brakes, Shimano Altus levers
ProMax linear-pull brakes, Shimano levers
Cockpit & Contact Points
Headset
1 1/8" threadless Dia-Compe STS
1 1/8" threadless Cane Creek
Handlebar
Fuji aluminum ATB
Fuji alloy
Handlebar Extensions
Not included
Not included
Stem
Fuji aluminum ATB
Alloy
Saddle
Fuji Duraflex Crator ATB saddle
Fuji DuraFlex Racing
Seatpost
Aluminum micro-adjust, 26.8mm diameter
Alloy
Wheels & Tires
Hubs
Front: aluminum, Q/R, Rear: Shimano
Front: alloy, Rear: Shimano
Rims
Weinmann CN-520, 36-hole
Weinmann CN-520, 36-hole
Spokes
Stainless steel, 14g
Stainless steel, 2.0mm
Front Tire
26 x 2.00"
26 x 2.10" Kenda Hammer
Rear Tire
—
26 x 2.10" Kenda Anvil
Wheel Size
26" wheels
26" wheels
Geometry · choose a size for each bicycle
Geometry size
Head-tube angle
70°
71°
Seat-tube angle
73°
73°
Chainstay / rear center
420 mm
419.1 mm
Wheelbase
1047 mm
—
Fork offset / rake
38 mm
—

Historical specifications are presented as an archival reference. Components may have varied by market, size, or production run. Legacy reference geometry is model-level historical data whose corresponding frame size is not identified; compare those dimensions as reference values rather than size-normalized fit data.

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