Distance Calculator

Calculate the straight-line distance between two points in 2D or 3D coordinate space. Find distances for geometry, physics, navigation, or any application requiring precise measurements.

Point 1

Point 2

What Is the Distance Formula?

The distance formula calculates the straight-line distance (Euclidean distance) between two points in coordinate space. It's derived directly from the Pythagorean theorem, treating the differences in coordinates as the legs of a right triangle and computing the hypotenuse.

For two-dimensional space, imagine points (1, 2) and (4, 6) on a graph. The horizontal distance is 3 units (4-1) and vertical distance is 4 units (6-2). These form the two legs of a right triangle, and the formula calculates the diagonal: √(3² + 4²) = √25 = 5 units.

Distance Formula for 2D Coordinates

2D Distance Formula:

d = √[(x₂ - x₁)² + (y₂ - y₁)²]

Where:

  • (x₁, y₁) = Coordinates of first point
  • (x₂, y₂) = Coordinates of second point
  • d = Distance between points

Step-by-Step Distance Calculation

Let's calculate the distance between points (2, 3) and (8, 11):

  1. Find x-difference: 8 - 2 = 6
  2. Find y-difference: 11 - 3 = 8
  3. Square both differences: 6² = 36 and 8² = 64
  4. Add the squares: 36 + 64 = 100
  5. Take square root: √100 = 10 units

Extending to 3D Space

Three-dimensional space adds a z-coordinate, requiring an extension of the distance formula. The concept remains identical - you're calculating the diagonal distance through 3D space rather than across a 2D plane.

3D Distance Formula:

d = √[(x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²]

This adds the third dimension's squared difference to the calculation.

Example 3D Calculation

Finding distance between (1, 2, 3) and (4, 6, 8):

  • Δx = 4 - 1 = 3 → 3² = 9
  • Δy = 6 - 2 = 4 → 4² = 16
  • Δz = 8 - 3 = 5 → 5² = 25
  • Sum: 9 + 16 + 25 = 50
  • Distance: √50 ≈ 7.07 units

Applications of Distance Calculations

Distance formulas appear everywhere from mathematics to real-world navigation. Understanding these applications helps contextualize the abstract coordinate calculations.

Geometry and Trigonometry

Finding distances between vertices determines polygon perimeters, triangle side lengths for law of cosines applications, and circle properties. Geometry students use this constantly for proving theorems and solving construction problems. The formula works equally well with negative coordinates or fractional values.

Physics and Engineering

Physics problems involving displacement, velocity vectors, and force calculations rely on distance formulas. Engineers use coordinate-based distance for CAD design, robotics path planning, and structural analysis where precise spatial relationships matter. Our speed calculator complements distance calculations when time is involved.

Computer Graphics and Game Development

Video games calculate distances constantly - checking collision radii, determining line-of-sight, computing AI pathfinding, and rendering 3D perspectives. Every pixel on screen ultimately derives from coordinate-based distance calculations performed millions of times per second.

Related Concepts: Midpoint and Slope

Distance calculations pair naturally with two related concepts - midpoint and slope - that together fully describe relationships between coordinate points.

Finding the Midpoint

The midpoint formula locates the exact center between two points by averaging their coordinates: M = ((x₁+x₂)/2, (y₁+y₂)/2). For points (2, 4) and (8, 10), the midpoint is ((2+8)/2, (4+10)/2) = (5, 7). This point lies exactly halfway along the line segment connecting them.

Calculating Slope Between Points

Slope measures steepness of the line connecting two points: m = (y₂-y₁)/(x₂-x₁). Combined with distance and midpoint, these three calculations fully characterize the line segment. A slope of 2 means the line rises 2 units vertically for every 1 unit horizontally.

For additional mathematical tools, explore our midpoint calculator and slope calculator. These complement distance calculations for comprehensive coordinate geometry analysis.

This calculator provides precise Euclidean distances based on coordinate input. Results accuracy depends on input precision. For geographic distances between cities or addresses, specialized mapping tools account for Earth's curvature using different formulas like Haversine or Vincenty.

Last Updated: January 2026 | Reviewed for accuracy

Distance
5.00 units

Coordinate Differences

ΔX: 3.00
ΔY: 4.00

Midpoint

(1.5, 2.0)

Calculation Steps

√[(Δx)² + (Δy)²]
√[9 + 16]
√25 = 5.00

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