<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250727</CreaDate>
<CreaTime>22044400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<BusinessAnalyst>
<ToolName>EnrichLayer</ToolName>
</BusinessAnalyst>
<DataProperties>
</DataProperties>
</Esri>
<idinfo>
<keywords>
<theme>
<themekey>
</themekey>
<themekt>None</themekt>
</theme>
</keywords>
<descript>
<abstract>
</abstract>
<purpose>Created with Business Analyst Pro - EnrichLayer</purpose>
</descript>
<timeperd>
<current>publication date</current>
</timeperd>
<citation>
<citeinfo>
<origin>Business Analyst Pro</origin>
</citeinfo>
</citation>
<status>
<progress>Complete</progress>
<update>Unknown</update>
</status>
</idinfo>
<dataIdInfo>
<idAbs>&lt;p&gt;&lt;font size='5'&gt;&lt;span style='font-weight:bold;'&gt;&lt;span style='background-color:rgb(255, 255, 255);'&gt;&lt;span style='color:rgb(0, 0, 0);'&gt;Spending&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/font&gt;&lt;/p&gt;&lt;p&gt;&lt;img alt='spending' src='https://doc.arcgis.com/en/esri-demographics/latest/data-browser/GUID-7ABEE62D-DB1A-4A25-AA91-797BC1E841CA-web.png' /&gt; The &lt;span&gt;Spending&lt;/span&gt;
data category provides information about people's expenditures in specific retail categories, such as alcoholic beverages, books and stationery, clothing, consumer electronics, household appliances, personal care, and tobacco. &lt;a href='https://doc.arcgis.com/en/esri-demographics/latest/data-browser/advanced-demographics.htm'&gt;Advanced Demographics&lt;/a&gt;
Spending data provides more depth through information such as the location of spending by percentages—for example, the percentage of regional internet sales compared to purchases made in brick-and-mortar stores. There is also information about spending for broader categories,
such as charitable contributions, games of chance, education, household
operations, legal services, and funerals. Spending for luxury items and
some spending opinion metrics are also available.&lt;/p&gt;&lt;p&gt;Example Spending variables include the following:&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Alcoholic Beverage Expenditures: Total&lt;/li&gt;&lt;li&gt;Food &amp;amp; Non-Alcoholic Beverage Expenditures: Per Capita&lt;/li&gt;&lt;li&gt;Household Appliances Expenditures: Index&lt;/li&gt;&lt;/ul&gt;&lt;div&gt;&lt;div&gt;Check other Data Category View Layers for variables not included in this set.&lt;br /&gt;&lt;/div&gt;Explore the &lt;a href='https://doc.arcgis.com/en/esri-demographics/latest/data-browser/data-browser.htm' target='_blank'&gt;Data Browser&lt;/a&gt; for variables not included in any of the aforementioned View Layers.&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Spending</keyword>
<keyword>Consumer Spending</keyword>
<keyword>Demographics</keyword>
<keyword>Block Groups</keyword>
</searchKeys>
<idPurp>Consumer Spending Variables by Block Group</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Consumer Spending Variables by Block Group - Current Year</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
