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Asked: 2026-05-11T18:25:45+00:00

In PHP, I have the following code for calculating the distance between two locations:

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In PHP, I have the following code for calculating the distance between two locations:

<?php
function distance($lat1, $long1, $lat2, $long2) {
    // DEGREE TO RADIAN
    $latitude1 = $lat1/180*pi();
    $longitude1 = $long1/180*pi();
    $latitude2 = $lat2/180*pi();
    $longitude2 = $long2/180*pi();
    // FORMULA: e = ARCCOS ( SIN(Latitude1) * SIN(Latitude2) + COS(Latitude1) * COS(Latitude2) * COS(Longitude2-Longitude1) ) * EARTH_RADIUS
    $distance = acos(sin($latitude1)*sin($latitude2)+cos($latitude1)*cos($latitude2)*cos($longitude2-$longitude1))*6371;
    return $distance;
}
echo distance(9.9921962, 53.5534074, 9.1807688, 48.7771056); // Hamburg, DE - Stuttgart, DE
?>

But now, I want to select locations close to a given location via PHP from my MySQL database:

  • The user enters his hometown
  • My script gets the latitude/longitude values via the Google API
  • In my database, I have about 200 locations with a field for the latitude value and a field for the longitude value
  • I need a code for PHP and MySQL to select the 10 locations which are closest to the user’s hometown

I hope you can help me. Thanks in advance!

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1 Answer

  1. Editorial Team

    MySQL Great Circle Distance (Haversine formula) does exactly what you need.

    With only 200 records however you may as well just load them all and check them with code. The data set is really way too small to be worrying too much about database vs code or any other such optimizations.

    Calculating distance between zip codes in PHP has a couple of PHP implementations of this algorithm.

    Geo Proximity Search is pretty much the exact same problem you have.

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