<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="../../../index_xsl.cfm?dt=5/2007"?>
<urchindata>
   <profile>www.maximus.org</profile>
   <report>Executive Overview</report>
   <date>5/1/2007 - 5/31/2007</date>
   <dataset id="0">
      <title>Visits and Pageviews</title>
      <column1>Date Range</column1>

      <column2>Visits</column2>
      <column3>Pageviews</column3>
      <ncols>3</ncols>
      <record id="0">
         <name>Tue 5/1</name>
         <value1>11</value1>

         <value2>18</value2>
      </record>
      <record id="1">
         <name>Wed 5/2</name>
         <value1>6</value1>
         <value2>7</value2>
      </record>

      <record id="2">
         <name>Thu 5/3</name>
         <value1>8</value1>
         <value2>11</value2>
      </record>
      <record id="3">
         <name>Fri 5/4</name>

         <value1>8</value1>
         <value2>10</value2>
      </record>
      <record id="4">
         <name>Sat 5/5</name>
         <value1>10</value1>
         <value2>27</value2>

      </record>
      <record id="5">
         <name>Sun 5/6</name>
         <value1>2</value1>
         <value2>2</value2>
      </record>
      <record id="6">

         <name>Mon 5/7</name>
         <value1>8</value1>
         <value2>9</value2>
      </record>
      <record id="7">
         <name>Tue 5/8</name>
         <value1>7</value1>

         <value2>11</value2>
      </record>
      <record id="8">
         <name>Wed 5/9</name>
         <value1>12</value1>
         <value2>14</value2>
      </record>

      <record id="9">
         <name>Thu 5/10</name>
         <value1>10</value1>
         <value2>10</value2>
      </record>
      <record id="10">
         <name>Fri 5/11</name>

         <value1>3</value1>
         <value2>3</value2>
      </record>
      <record id="11">
         <name>Sat 5/12</name>
         <value1>5</value1>
         <value2>8</value2>

      </record>
      <record id="12">
         <name>Sun 5/13</name>
         <value1>3</value1>
         <value2>3</value2>
      </record>
      <record id="13">

         <name>Mon 5/14</name>
         <value1>7</value1>
         <value2>9</value2>
      </record>
      <record id="14">
         <name>Tue 5/15</name>
         <value1>7</value1>

         <value2>11</value2>
      </record>
      <record id="15">
         <name>Wed 5/16</name>
         <value1>6</value1>
         <value2>7</value2>
      </record>

      <record id="16">
         <name>Thu 5/17</name>
         <value1>7</value1>
         <value2>9</value2>
      </record>
      <record id="17">
         <name>Fri 5/18</name>

         <value1>14</value1>
         <value2>28</value2>
      </record>
      <record id="18">
         <name>Sat 5/19</name>
         <value1>3</value1>
         <value2>5</value2>

      </record>
      <record id="19">
         <name>Sun 5/20</name>
         <value1>3</value1>
         <value2>3</value2>
      </record>
      <record id="20">

         <name>Mon 5/21</name>
         <value1>7</value1>
         <value2>7</value2>
      </record>
      <record id="21">
         <name>Tue 5/22</name>
         <value1>3</value1>

         <value2>5</value2>
      </record>
      <record id="22">
         <name>Wed 5/23</name>
         <value1>6</value1>
         <value2>7</value2>
      </record>

      <record id="23">
         <name>Thu 5/24</name>
         <value1>7</value1>
         <value2>10</value2>
      </record>
      <record id="24">
         <name>Fri 5/25</name>

         <value1>7</value1>
         <value2>7</value2>
      </record>
      <record id="25">
         <name>Sat 5/26</name>
         <value1>2</value1>
         <value2>4</value2>

      </record>
      <record id="26">
         <name>Sun 5/27</name>
         <value1>4</value1>
         <value2>16</value2>
      </record>
      <record id="27">

         <name>Mon 5/28</name>
         <value1>3</value1>
         <value2>3</value2>
      </record>
      <record id="28">
         <name>Tue 5/29</name>
         <value1>9</value1>

         <value2>16</value2>
      </record>
      <record id="29">
         <name>Wed 5/30</name>
         <value1>8</value1>
         <value2>10</value2>
      </record>

      <record id="30">
         <name>Thu 5/31</name>
         <value1>5</value1>
         <value2>10</value2>
      </record>
   </dataset>
   <dataset id="1">

      <title>Visits by New and Returning</title>
      <column1>Visitor Types</column1>
      <column2>Visits</column2>
      <ncols>2</ncols>
      <record id="0">
         <name>New Visitor</name>

         <value1>146</value1>
      </record>
      <record id="1">
         <name>Returning Visitor</name>
         <value1>55</value1>
      </record>
   </dataset>

   <dataset id="2">
      <title>Geo Map Overlay</title>
      <column1>Country/Region/City</column1>
      <column2>Visits</column2>
      <ncols>2</ncols>
      <record id="0">
         <name>Chicago|418860|-876230</name>

         <value1>10</value1>
      </record>
      <record id="1">
         <name>Chicago|418675|-876744</name>
         <value1>9</value1>
      </record>
      <record id="2">

         <name>Milwaukee|430390|-879070</name>
         <value1>8</value1>
      </record>
      <record id="3">
         <name>New Albany|400870|-828000</name>
         <value1>6</value1>
      </record>

      <record id="4">
         <name>Paris|488670|23330</name>
         <value1>4</value1>
      </record>
      <record id="5">
         <name>Houston|297755|-954152</name>
         <value1>3</value1>

      </record>
      <record id="6">
         <name>Madison|430730|-894010</name>
         <value1>3</value1>
      </record>
      <record id="7">
         <name>Milwaukee|430522|-879650</name>

         <value1>2</value1>
      </record>
      <record id="8">
         <name>Antwerp|512170|44170</name>
         <value1>2</value1>
      </record>
      <record id="9">

         <name>Phoenix|334490|-1120730</name>
         <value1>2</value1>
      </record>
      <record id="10">
         <name>Virginia Beach|368600|-759810</name>
         <value1>2</value1>
      </record>

      <record id="11">
         <name>Albuquerque|350850|-1066520</name>
         <value1>2</value1>
      </record>
      <record id="12">
         <name>Orleans|479170|19000</name>
         <value1>2</value1>

      </record>
      <record id="13">
         <name>Lisbon|387170|-91330</name>
         <value1>2</value1>
      </record>
      <record id="14">
         <name>Boston|423590|-710610</name>

         <value1>2</value1>
      </record>
      <record id="15">
         <name>Sacramento|385820|-1214930</name>
         <value1>2</value1>
      </record>
      <record id="16">

         <name>Kansas City|391190|-946260</name>
         <value1>2</value1>
      </record>
      <record id="17">
         <name>Portland|454980|-1226940</name>
         <value1>2</value1>
      </record>

      <record id="18">
         <name>Ensonville|483500|17333</name>
         <value1>1</value1>
      </record>
      <record id="19">
         <name>Menomonee Falls|431486|-881246</name>
         <value1>1</value1>

      </record>
      <record id="20">
         <name>Pensacola|304506|-872755</name>
         <value1>1</value1>
      </record>
      <record id="21">
         <name>Den Haag|520833|43000</name>

         <value1>1</value1>
      </record>
      <record id="22">
         <name>Saad|364472|104025</name>
         <value1>1</value1>
      </record>
      <record id="23">

         <name>Budapest|475000|190833</name>
         <value1>1</value1>
      </record>
      <record id="24">
         <name>Madison Heights|425053|-831052</name>
         <value1>1</value1>
      </record>

      <record id="25">
         <name>Providence|418220|-714219</name>
         <value1>1</value1>
      </record>
      <record id="26">
         <name>La Grange|417776|-878605</name>
         <value1>1</value1>

      </record>
      <record id="27">
         <name>Chula Vista|326321|-1169902</name>
         <value1>1</value1>
      </record>
      <record id="28">
         <name>London|515000|-1167</name>

         <value1>1</value1>
      </record>
      <record id="29">
         <name>West Roxbury|422794|-711657</name>
         <value1>1</value1>
      </record>
      <record id="30">

         <name>Las Vegas|361515|-1152049</name>
         <value1>1</value1>
      </record>
      <record id="31">
         <name>New Delhi|286000|772000</name>
         <value1>1</value1>

      </record>
      <record id="32">
         <name>Powder Springs|338820|-847062</name>
         <value1>1</value1>
      </record>
      <record id="33">
         <name>Wichita Falls|338966|-984992</name>

         <value1>1</value1>
      </record>
      <record id="34">
         <name>Czeladz|503150|190680</name>
         <value1>1</value1>
      </record>
      <record id="35">

         <name>Bloomingdale|419484|-880947</name>
         <value1>1</value1>
      </record>
      <record id="36">
         <name>Memphis|351500|-900490</name>
         <value1>1</value1>
      </record>

      <record id="37">
         <name>Austin|303037|-977696</name>
         <value1>1</value1>
      </record>
      <record id="38">
         <name>Campinas|-229000|-470833</name>
         <value1>1</value1>

      </record>
      <record id="39">
         <name>Blythe|333114|-822477</name>
         <value1>1</value1>
      </record>
      <record id="40">
         <name>Carshalton|513500|-1500</name>

         <value1>1</value1>
      </record>
      <record id="41">
         <name>Los Angeles|340416|-1182988</name>
         <value1>1</value1>
      </record>
      <record id="42">

         <name>New York|407500|-739970</name>
         <value1>1</value1>
      </record>
      <record id="43">
         <name>Stockbridge|335640|-841950</name>
         <value1>1</value1>
      </record>

      <record id="44">
         <name>Metairie|300018|-901743</name>
         <value1>1</value1>
      </record>
      <record id="45">
         <name>Washington|389097|-770231</name>
         <value1>1</value1>

      </record>
      <record id="46">
         <name>Järna|591000|175667</name>
         <value1>1</value1>
      </record>
      <record id="47">
         <name>Adana|370000|353170</name>

         <value1>1</value1>
      </record>
      <record id="48">
         <name>Campinas|-229000|-470830</name>
         <value1>1</value1>
      </record>
      <record id="49">

         <name>Istanbul|410330|289500</name>
         <value1>1</value1>
      </record>
      <record id="50">
         <name>Hinsdale|418024|-879306</name>
         <value1>1</value1>
      </record>

      <record id="51">
         <name>Izmir|384072|271503</name>
         <value1>1</value1>
      </record>
      <record id="52">
         <name>Stevens Point|445530|-895190</name>
         <value1>1</value1>

      </record>
      <record id="53">
         <name>Denver|397390|-1049840</name>
         <value1>1</value1>
      </record>
      <record id="54">
         <name>Irvine|336880|-1177990</name>

         <value1>1</value1>
      </record>
      <record id="55">
         <name>Konstanz|476670|91830</name>
         <value1>1</value1>
      </record>
      <record id="56">

         <name>Brooklyn|406525|-739554</name>
         <value1>1</value1>
      </record>
      <record id="57">
         <name>Helsinki|601760|249340</name>
         <value1>1</value1>
      </record>

      <record id="58">
         <name>Pasadena|341480|-1181440</name>
         <value1>1</value1>
      </record>
      <record id="59">
         <name>Springdale|361890|-942300</name>
         <value1>1</value1>

      </record>
      <record id="60">
         <name>Southfield|424750|-832900</name>
         <value1>1</value1>
      </record>
      <record id="61">
         <name>Bangkok|137330|1005000</name>

         <value1>1</value1>
      </record>
      <record id="62">
         <name>Nashville|361650|-867760</name>
         <value1>1</value1>
      </record>
      <record id="63">

         <name>Bordeaux|448330|-5670</name>
         <value1>1</value1>
      </record>
      <record id="64">
         <name>Sao Paulo|-235330|-466170</name>
         <value1>1</value1>
      </record>

      <record id="65">
         <name>Pittsburgh|404750|-799520</name>
         <value1>1</value1>
      </record>
      <record id="66">
         <name>Willow Springs|370100|-919180</name>
         <value1>1</value1>

      </record>
      <record id="67">
         <name>Bologna|445000|113330</name>
         <value1>1</value1>
      </record>
      <record id="68">
         <name>Karlskoga|593330|145170</name>

         <value1>1</value1>
      </record>
      <record id="69">
         <name>Philadelphia|399968|-751485</name>
         <value1>1</value1>
      </record>
      <record id="70">

         <name>Elmhurst|418940|-879390</name>
         <value1>1</value1>
      </record>
      <record id="71">
         <name>Schiphol|523092|48107</name>
         <value1>1</value1>
      </record>

      <record id="72">
         <name>Bellevue|476190|-1222040</name>
         <value1>1</value1>
      </record>
      <record id="73">
         <name>Charlottesville|380460|-784690</name>
         <value1>1</value1>

      </record>
      <record id="74">
         <name>Augusta|334340|-819560</name>
         <value1>1</value1>
      </record>
      <record id="75">
         <name>Ridgecrest|356225|-1176700</name>

         <value1>1</value1>
      </record>
      <record id="76">
         <name>Wayne|400440|-753880</name>
         <value1>1</value1>
      </record>
      <record id="77">

         <name>Austin|302670|-977430</name>
         <value1>1</value1>
      </record>
      <record id="78">
         <name>Abilene|324820|-996840</name>
         <value1>1</value1>
      </record>

      <record id="79">
         <name>North Kingstown|415870|-714630</name>
         <value1>1</value1>
      </record>
      <record id="80">
         <name>Brockton|420780|-710420</name>
         <value1>1</value1>

      </record>
      <record id="81">
         <name>West Salem|439220|-910960</name>
         <value1>1</value1>
      </record>
      <record id="82">
         <name>Washington|389100|-770180</name>

         <value1>1</value1>
      </record>
      <record id="83">
         <name>Rochester|431540|-776160</name>
         <value1>1</value1>
      </record>
      <record id="84">

         <name>Costa Mesa|336790|-1179090</name>
         <value1>1</value1>
      </record>
      <record id="85">
         <name>Brussels|508330|43330</name>
         <value1>1</value1>
      </record>

      <record id="86">
         <name>Albany|426530|-737570</name>
         <value1>1</value1>
      </record>
      <record id="87">
         <name>Annapolis|389920|-765520</name>
         <value1>1</value1>

      </record>
      <record id="88">
         <name>Philadelphia|399520|-751640</name>
         <value1>1</value1>
      </record>
      <record id="89">
         <name>Trzebinia|501670|193000</name>

         <value1>1</value1>
      </record>
      <record id="90">
         <name>Rancho Santa Margarita|336340|-1176060</name>
         <value1>1</value1>
      </record>
      <record id="91">

         <name>Lyon|457500|48500</name>
         <value1>1</value1>
      </record>
      <record id="92">
         <name>Barcelona|414170|21670</name>
         <value1>1</value1>
      </record>

      <record id="93">
         <name>Indianapolis|397750|-861100</name>
         <value1>1</value1>
      </record>
      <record id="94">
         <name>San Diego|327250|-1171720</name>
         <value1>1</value1>

      </record>
      <record id="95">
         <name>Santiago|-334500|-706670</name>
         <value1>1</value1>
      </record>
      <record id="96">
         <name>Jacksonville|303380|-817710</name>

         <value1>1</value1>
      </record>
      <record id="97">
         <name>Alexandria|388190|-770600</name>
         <value1>1</value1>
      </record>
      <record id="98">

         <name>Rimouski|484510|-685250</name>
         <value1>1</value1>
      </record>
      <record id="99">
         <name>West Point|413930|-739740</name>
         <value1>1</value1>
      </record>

   </dataset>
   <dataset id="3">
      <title>Visits by Source</title>
      <column1>Sources</column1>
      <column2>Visits</column2>
      <ncols>2</ncols>
      <record id="0">

         <name>(direct)</name>
         <value1>160</value1>
      </record>
      <record id="1">
         <name>google</name>
         <value1>33</value1>
      </record>

      <record id="2">
         <name>yahoo</name>
         <value1>5</value1>
      </record>
      <record id="3">
         <name>aol</name>
         <value1>2</value1>

      </record>
      <record id="4">
         <name>search</name>
         <value1>1</value1>
      </record>
   </dataset>
</urchindata>

