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 2000 Fuji Nevada and 2001 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.

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.

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.

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