tier_1 conversion
Convert long reed to chain (US survey)
Convert long reed to chain (US survey) with a verified formula, worked example, conversion table, precision guidance, and reverse conversion.
long reed to chain (US survey)
long reed to chain (US survey)
Quick answer
1 long reed = 0.159090590909 chain (US survey).
Formula
chain (US survey) = long reed × 0.1590905909089364385550391766
Precision
The stored factor is used at full decimal precision; round only the displayed result to the precision required by the task.
How to convert long reed to chain (US survey)
- Enter a value in long reed.
- The conversion is linear, so each long reed is worth 0.1590905909089364385550391766 chain (US survey).
- Round the displayed chain (US survey) value only when needed.
About these units
long reed is a unit used in length conversions. Length measures distance or linear extent. chain (US survey) is a unit used in length conversions. Length measures distance or linear extent. Its recorded symbol is ch.
Explore related conversions
long reed to chain (US survey) conversion table
| long reed | chain (US survey) |
|---|---|
| 0 long reed | 0e-28 chain (US survey) |
| 1 long reed | 0.159090590909 chain (US survey) |
| 5 long reed | 0.795452954545 chain (US survey) |
| 10 long reed | 1.59090590909 chain (US survey) |
| 25 long reed | 3.97726477272 chain (US survey) |
| 100 long reed | 15.9090590909 chain (US survey) |
Frequently asked questions
How do I convert from long reed to chain (US survey)?
The conversion is linear, so each long reed is worth 0.1590905909089364385550391766 chain (US survey).
What formula does CalculatorHQ use for long reed to chain (US survey)?
chain (US survey) = long reed × 0.1590905909089364385550391766
How should I round the result?
The stored factor is used at full decimal precision; round only the displayed result to the precision required by the task.
Can I convert chain (US survey) back to long reed?
Yes. Use the linked reverse conversion, whose formula is validated against this pair with round-trip tests.