The general steps to get demographic data and facts from the GeoEnrichment service are:
1. Define a study area The first step it to define one or more study areas. A study area is a location used for spatial analysis in the GeoEnrichment service . The study Areas
parameter is required to make a request to the service. When you submit a request, the service returns information for the study areas provided.
Types of study areas The value of the study Areas
parameter can take many forms. It can include one or more point , line , or polygon geometries, administrative boundaries, street addresses, and drive time service areas. For points and addresses, the GeoEnrichment service calculates a buffer or service area in which to aggregate data. See the examples below:
Study area Description Example Named administrative boundaries Includes countries, states, U.S. ZIP Codes, etc study Areas=[{"source Country":"US","layer":"US.States","ids":["06"]}]
Street addresses Defaults to a one mile buffer around address study Areas=[{"address":{"text":"380 New York St. Redlands, CA 92373"}}]
Buffer around a point or line Defaults to a one mile buffer around point or line study Areas=[{"geometry":{"x":-117.1956,"y":34.0572}}]
Area within a polygon Area within a geometry defined by three or more points. study Areas=[{"geometry":{"rings":[[[-117.185412,34.063170],[-122.81,37.81],[-117.200570,34.057196],[-117.185412,34.063170]]],"spatial Reference":{"wkid":4326}}}]
Drive time service areas Calculates a drive time area around a point or address study Areas=[{"geometry":{"x": -122.435, "y": 37.785},"area Type": "Network Service Area","buffer Units": "Hours","buffer Radii": [1],"travel_ mode":"Driving"}]
2. Specify the data to find To get data for a study area, you need to find the analysis variable and/or data collection names you need to use to get the data you want from the GeoEnrichment service . There are thousands of data variables and collections to choose from. You can query the service for these values or you can find them interactively with the Analysis Variable Finder and Data Collection Finder .
Analysis variables An analysis variable is a parameter that represents data stored within the GeoEnrichment service . All valid enrich
queries to the GeoEnrichment service return analysis variables in their response.
You can set the analysis Variables
parameter of an enrich
request to return global and local data for a study area.
Data collections A data collection is a predefined list of analysis variables that can be used to get data from the GeoEnrichment service. When you make an enrich
request with a data collection, the response contains information for each analysis variable in the collection.
For example, the Key Global Facts
data collection contains the following analysis variables:
Total Population (TOTPOP)
Total Households (TOTHH)
Average Household Size (AVGHHSZ)
Male Population (TOTMALES)
Female Population (TOTFEMALES)
3. Make a request You can use ArcGIS REST JS, ArcGIS API for Python, or the ArcGIS REST API to access the service. Follow the steps below:
ArcGIS APIs ArcGIS API for Python ArcGIS REST JS
Import the geoenrichment
, GIS
, Geometry
, and pandas
modules. Set your API key or OAuth 2.0 access token. Use the enrich
method and set the following parameters:study_ areas
: The study area in which you want the data returned.analysis_ variables
or data_ collections
. If you provide neither parameter, data from the Key Global Facts
data collection will be returned by default. Example
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from arcgis.geoenrichment import *
from arcgis.geometry import Geometry
from arcgis.gis import GIS
import pandas as pd
def main ():
#authenticate with portal using API-KEY
api_key = "YOUR_API_KEY"
portal = GIS( "https://www.arcgis.com" , api_key=api_key)
#create studyarea of point location
pt = Geometry({ "x" :- 74.0060 , "y" : 40.7128 })
#create one-mile radii trade area
buffered = BufferStudyArea(area=pt, radii=[ 1 ], units= 'Miles' )
#enrich using householdtotals data collection
result_data_frame = enrich(study_areas=[buffered], data_collections=[ 'educationalattainment' ])
#print entire data frame
pd.set_option( "display.max_rows" , None )
pd.set_option( "display.max_colwidth" , None )
print (result_data_frame)
if __name__ == "__main__" :
main()
Import the request
and demographics
packages. Set the following parameters for the query Demographic Data
operation:study Areas
: The study area in which you want the data returned.The analysis Variables
or data Collections
parameter. If you provide neither parameter, data from the Key Global Facts
data collection will be returned by default. authentication
: An API key or OAuth 2.0 access token. Example
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const authentication = arcgisRest.ApiKeyManager.fromKey(apiKey);
arcgisRest.queryDemographicData({
studyAreas : [{ "geometry" : { "x" :- 74.0060 , "y" : 40.7128 } }],
authentication : authentication,
dataCollections : [ "PopulationTotals" ]
})
.then( ( response ) => {
if (response.results[ 0 ].value.FeatureSet.length > 0 &&
response.results[ 0 ].value.FeatureSet[ 0 ].features.length > 0 ) {
const attributes = response.results[ 0 ].value.FeatureSet[ 0 ].features[ 0 ].attributes;
console .log( `<b>Data for a 1 mile search</b><br>Total Population: ${attributes.TOTPOP_CY} <br>Household Population: ${attributes.HHPOP_CY} <br>Popluation Density (per sq. mile): ${attributes.POPDENS_CY} <br>Population: Annual Growth Rate: ${attributes.POPGRW10CY} <br>Housing Affordability Index: ${attributes.HAI_CY} ` );
} else {
console .log( "No data found." );
}
});
ArcGIS REST API Construct a GET
or POST
request. Set the following parameters:study Areas
: The study area in which you want the data returned.The analysis Variables
or data Collections
. If you provide neither parameter, data from the Key Global Facts
data collection will be returned by default. token
: An API key or OAuth 2.0 access token. Send the request. Example This example returns data from the educationalattainment
data collection in a 1-mile buffer around a point.
Request Response
cURL cURL HTTP
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curl https://geoenrich.arcgis.com/arcgis/rest/services/World/geoenrichmentserver/Geoenrichment/enrich? \
-d "studyAreas=[{'geometry':{'x': -74.0060, 'y': 40.7128}}]" \
-d "dataCollections=[educationalattainment]" \
-d "f=json" \
-d "token=<ACCESS_TOKEN>"
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{
"results" : [ {
"paramName" : "GeoEnrichmentResult" ,
"dataType" : "GeoEnrichmentResult" ,
"value" : {
"version" : "2.0" ,
"FeatureSet" : [ {
"displayFieldName" : "" ,
"fieldAliases" : {
"ID" : "Id" ,
"OBJECTID" : "Object ID" ,
"sourceCountry" : "Country code" ,
"areaType" : "Area type" ,
4. Use the results After you retrieve the data from the service, the most common step is to display the data in a map.
Example
APIs ArcGIS Maps SDK for JavaScript ArcGIS Maps SDK for JavaScript ArcGIS API for Python ArcGIS REST JS Esri Leaflet MapLibre GL JS OpenLayers CesiumJS
Expand
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function getDemographicData ( point ) {
// Request demographic data
arcgisRest.queryDemographicData({
studyAreas : [{ "geometry" : { "x" : point.longitude, "y" : point.latitude } }],
authentication : authentication
})
.then( ( response ) => {
if (response.results[ 0 ].value.FeatureSet.length > 0 &&
response.results[ 0 ].value.FeatureSet[ 0 ].features.length > 0 ) {
const attributes = response.results[ 0 ].value.FeatureSet[ 0 ].features[ 0 ].attributes;
showData(attributes, point);
} else {
console .log( "No data found." );
}
});
}
Tutorials Services Find facts and demographic information about a location or area.
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