Calculatorism

2D Distance Calculator

Enter two points (x₁,y₁) and (x₂,y₂) to find the straight-line distance on a plane — for map measurement, geometry and coordinate planning.

Input Data

X1
Y1
X2
Y2

Results

Distance
5

At a glance:The 2D distance between two points is the straight-line distance on a rectangular coordinate plane. Given A(x₁,y₁) and B(x₂,y₂), the horizontal and vertical differences are Δx = x₂−x₁ and Δy = y₂−y₁; by Pythagoras the distance is d = √(Δx² + Δy²). This is the standard Euclidean distance in two dimensions and the basis for 3D distance and Manhattan distance.

Formula

d = √[(x₂ − x₁)² + (y₂ − y₁)²]

where Δx = x₂ − x₁, Δy = y₂ − y₁.

e.g. A(3,2), B(6,6) → d = √(3² + 4²) = √25 = 5

$$d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}$$

How to Use

  1. Enter the first point (x₁, y₁).
  2. Enter the second point (x₂, y₂).
  3. The calculator shows the straight-line distance.
  4. Distance is 0 when the points coincide; inputs may be negative.

Common point-pair distances

Common point-pair distances
Point 1Point 2Distance
(0, 0)(3, 4)5
(1, 1)(4, 5)5
(-2, 3)(4, -5)10
(0, 0)(5, 12)13

Computed as d = √(Δx²+Δy²). If Δx²+Δy² is a perfect square, the distance is an integer.

Case Studies

Geometry and maps

From (0,0) to (3,4): d = √(9+16) = 5 — the classic 3-4-5 right triangle.

Two map locations (Δx,Δy) = (4 km, 3 km) → straight-line distance 5 km.

Park coordinates (2,1) and (8,9) → d = √(36+64) ≈ 10.

Programming and graphics

Computer graphics computes the centre distance between two objects to detect collisions.

GPS positioning: approximate planar distance from latitude/longitude differences (small-area approximation).

Game development uses the distance formula for unit selection (range check).

FAQ

How is this related to Pythagoras' theorem?

The two-point distance formula is the coordinate version of Pythagoras: Δx and Δy are the legs of a right triangle and d is the hypotenuse, so d² = Δx² + Δy².

Does it work with negative or cross-quadrant coordinates?

Yes. The differences (x₂−x₁) and (y₂−y₁) are squared and always non-negative, so the formula holds for any quadrant and any negative coordinate.

What is 3D distance?

3D distance adds the z direction: d = √[(x₂−x₁)² + (y₂−y₁)² + (z₂−z₁)²], a natural extension of the 2D formula.

How is Euclidean distance different from Manhattan distance?

Euclidean distance is the straight-line distance; Manhattan distance is the total walked distance along horizontal and vertical streets |Δx|+|Δy|, like a city grid — usually larger than or equal to the straight-line distance.

Can distance be negative?

No. Distance is a length and is always non-negative; it is 0 only when the two points are identical.

Related Tools

References

Content review: Calculatorism Science Team. Results are for reference only; please refer to the relevant authorities for the official figures.

Found a problem with the results?

If this calculator's result is wrong, or you have any question about the calculation logic, please let us know. You are viewing:2D Distance Calculator(/math/2d-distance)。