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Query Statistics with SQL Expression


This sample demonstrates how to query for summary statistics from a hosted feature service with a SQL expression. Statistics such as min/max values, average, sum, count, and standard deviation can be generated from a field in any service. SQL expressions, however, are only supported in query for statistics operations on feature services where advancedQueryCapabilities.supportsSqlExpression is true.

The service in this samples contains features representing U.S. census block groups in the Seattle, WA area. Two fields are used in the query expression: one that contains the total population within each block group (TOTPOP_CY) and the other contains the area of each block group in square meters (ALAND). If you want to summarize the population density in people per square mile for a particular area, you can build an expression to use existing data rather than calculate the population density in a new field within the service. Since we want to see the population density in people per square mile, we'll use the following expression which divides the total population by the area converted to square miles:

TOTPOP_CY / (ALAND * 0.0000003861)


<!DOCTYPE html>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="viewport" content="initial-scale=1, maximum-scale=1,user-scalable=no"/>
<title>Query Statistics with SQL Expression</title>
<link rel="stylesheet" href="https://js.arcgis.com/3.46/esri/css/esri.css">
  html, body, #map {
    height: 100%;
    width: 100%;
    margin: 0;
    padding: 0;
  #results {
    position: absolute;
    z-index: 10;
    bottom: 45px;
    right: 10px;
    background-color: black;
    opacity: 0.8;
    color: cornsilk;
    width: 300px;
    padding: 5px;
    padding-bottom: 10px;
    padding-left: 10px;
    padding-right: 10px;
  .stats {
    color: darkorange;
<script src="https://js.arcgis.com/3.46/"></script>  
  ], function(Map, FeatureLayer, Query, StatisticDefinition, geometryEngine,
    SimpleMarkerSymbol, SimpleLineSymbol, SimpleFillSymbol, Graphic, Color, dom) {
    var map = new Map("map", {
      basemap: "streets-night-vector",
      center: [-122.304568, 47.608492],
      zoom: 13
    var url = "https://services.arcgis.com/V6ZHFr6zdgNZuVG0/arcgis/rest/services/Puget_Sound_BG_Food/FeatureServer/0";
    * The fields used to query for statistics
    * ALAND is land area in square meters
    * TOTPOP_CY is total population in the block group (2015)
    * HasData indicates if data is available in the feature
    var fields = [ "ALAND", "TOTPOP_CY", "HasData", "TOTHH" ];
    var blockGroupsLyr = new FeatureLayer(url, {
      outFields: fields
    // Symbol used to represent point clicked on map
    var pointSymbol = new SimpleMarkerSymbol(SimpleMarkerSymbol.STYLE_CIRCLE, 10, new SimpleLineSymbol(SimpleLineSymbol.STYLE_SOLID, new Color([0,255,0, 0.3]), 10), new Color([0,255,0,1]));
    // Symbol used to represent one-mile buffer around point
    var buffSymbol = new SimpleFillSymbol(SimpleFillSymbol.STYLE_SOLID, new SimpleLineSymbol(SimpleLineSymbol.STYLE_LONGDASHDOT, new Color([255,128,0,1]), 3), new Color([255,128,0,0.15]));
    // When the map is clicked, get the point at the clicked location and execute getPoint()
    map.on("click", getPoint);
    * The sqlExpression is a standard SQL expression that will be used to
    * query the service for statistics. Since the ALAND field represents the
    * land area in square meters, we want to convert the units to square 
    * miles. Therefore `(ALAND * 0.0000003861)` will return the area in square
    * miles. Dividing the TOTPOP_CY by that expression will return the 
    * population per square mile. 
    * This expression is then set on the onStatisticField property of each 
    * statistic definition object. Since we don't have a field for population
    * density in people per square mile, we can use this simple SQL expression
    * in the place of a field and we'll get our desired result:
    * "TOTPOP_CY / (ALAND * 0.0000003861)"
    var sqlExpression = "TOTPOP_CY / (ALAND * 0.0000003861)";
    // Object used to request the smallest population density from the 
    // block groups within one mile of the mouse click.
    var minStatDef = new StatisticDefinition();
    minStatDef.statisticType = "min";
    minStatDef.onStatisticField = sqlExpression;
    minStatDef.outStatisticFieldName = "minPopDensity";
    // Object used to request the largest population density from the 
    // block groups within one mile of the mouse click.
    var maxStatDef = new StatisticDefinition();
    maxStatDef.statisticType = "max";
    maxStatDef.onStatisticField = sqlExpression;
    maxStatDef.outStatisticFieldName = "maxPopDensity";
    // Object used to request the average population density for 
    // all block groups within one mile of the mouse click.
    var avgStatDef = new StatisticDefinition();
    avgStatDef.statisticType = "avg";
    avgStatDef.onStatisticField = sqlExpression;
    avgStatDef.outStatisticFieldName = "avgPopDensity";
    // Object used to request the number of  
    // block groups within one mile of the mouse click.
    var countStatDef = new StatisticDefinition();
    countStatDef.statisticType = "count";
    countStatDef.onStatisticField = sqlExpression;
    countStatDef.outStatisticFieldName = "numBlockGroups";
    // Object used to request the standard deviation of the population density for 
    // all block groups within one mile of the mouse click.
    var stddevStatDef = new StatisticDefinition();
    stddevStatDef.statisticType = "stddev";
    stddevStatDef.onStatisticField = sqlExpression;
    stddevStatDef.outStatisticFieldName = "StdDevPopDensity";
    // Set the base parameters for the query. All statistic definition objects
    // are passed as an array into the outStatistics param
    var queryParams = new Query();
    queryParams.distance = 1;  // Return all block groups within one mile of the point
    queryParams.units = "miles";
    queryParams.outFields = fields;
    queryParams.outStatistics = [ minStatDef, maxStatDef, avgStatDef, countStatDef, stddevStatDef ];
    // Executes on each map click
    function getPoint(evt){
      // Set the location of the mouse click event to the query parameters
      var point = evt.mapPoint;
      queryParams.geometry = point;
      // Clear the graphics from any previous queries
      // Add a point graphic represting the location clicked on the map
      var ptGraphic = new Graphic(point, pointSymbol);
      // Add a graphic representing a one-mile buffer around the clicked point
      var buffer = geometryEngine.geodesicBuffer(point, 1, "miles");
      var bufferGraphic = new Graphic(buffer, buffSymbol);
      // Execute the statistics query against the feature service and call the getStats() callback
      blockGroupsLyr.queryFeatures(queryParams, getStats, errback);
    // Executes on each query
    function getStats(results){
      // The return object of the query containing the statistics requested
      var stats = results.features[0].attributes;
      // Print the statistic results to the DOM
      dom.byId("countResult").innerHTML = Math.round(stats.numBlockGroups);
      dom.byId("minResult").innerHTML = Math.round(stats.minPopDensity) + " people/sq mi";
      dom.byId("maxResult").innerHTML = Math.round(stats.maxPopDensity) + " people/sq mi";
      dom.byId("avgResult").innerHTML = Math.round(stats.avgPopDensity) + " people/sq mi";
      dom.byId("stdDevResult").innerHTML = Math.round(stats.StdDevPopDensity) + " people/sq mi";
    function errback(err){
      console.log("Couldn't retrieve summary statistics. ", err);

  <div id="map"></div>
  <div id="results"><h3>Summary Statistics</h3>
    Click on the map to view summary statistics of the 
    population density for U.S. Census block groups within 
    one mile of the clicked point.<br><br>
    <div id="display">
      <strong>Block groups: </strong><span class="stats" id="countResult"></span><br>
      <strong>Min density: </strong><span class="stats" id="minResult"></span><br>
      <strong>Max density: </strong><span class="stats" id="maxResult"></span><br>
      <strong>Average density: </strong><span class="stats" id="avgResult"></span><br>
      <strong>Standard deviation: </strong><span class="stats" id="stdDevResult"></span>
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