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Centistokes to Square Meter per Second

Convert centistokes to square meter per second instantly. Type in either field — results update live.

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Viscosity-Kinematic Centistokes Square Meter per Second

1 centistokes = 0.000001 square meters per second

Unit
Unit
Format

Conversion table

Selected cSt values converted to m²/s using the exact factor from this tool.

cSt m²/s
0.01 1e-8
0.1 1e-7
1 0.000001
2 0.000002
3 0.000003
5 0.000005
10 0.00001
20 0.00002
50 0.00005
100 0.0001
1,000 0.001

How to convert

Exact conversion factors in both directions, plus a worked example.

1 cSt = 0.000001 m²/s

1 m²/s = 1000000 cSt

To convert centistokes to square meter per second, multiply by 0.000001.

To convert square meter per second to centistokes, multiply by 1000000.

Example: convert 10 cSt to m²/s

10 × 0.000001 = 0.00001 m²/s

About these units

Short background on the units used in this conversion.

Centistokes (cSt)

Centistokes (cSt) equals 10⁻⁶ m²/s. Water at 20°C has a kinematic viscosity of approximately 1 centistoke.

Centistokes is the standard industry unit for lubricants, fuels, and process fluids — from water (~1 cSt) to heavy oils.

Square Meter per Second (m²/s)

The square meter per second (m²/s) is the SI unit of kinematic viscosity — dynamic viscosity divided by density.

Square meters per second appear in fluid dynamics, CFD, and the definition of the stokes and centistokes units.

Frequently asked questions

How many square meters per second are in one centistokes?
One centistokes equals 0.000001 square meters per second. Multiply your centistokes value by 0.000001 to convert to square meters per second.
What is the conversion formula?
m²/s = cSt × 0.000001

The reverse is cSt = m²/s × 1,000,000, using the same exact factors as this converter.
Is this Centistokes to Square Meter per Second converter private?
Yes. All calculations run locally in your browser. Nothing you type is sent to a server.

All centistokes conversions

Jump to any viscosity-kinematic conversion starting from centistokes — including the reverse direction and every other unit in our dataset.