<?xml version="1.0" encoding="UTF-8"?>
<XTbML>
  <ContentClassification>
    <TableIdentity>302</TableIdentity>
    <ProviderDomain>soa.org</ProviderDomain>
    <ProviderName>Roger Scott Lumsden  75147,2620</ProviderName>
    <TableReference>Principal Mortality Tables OLD and NEW
Tillinghast, Nelson &amp; Warren, INC
1977</TableReference>
    <ContentType tc="4">Mortality Insured</ContentType>
    <TableName>1906 US Standard Industrial, Age Next</TableName>
    <TableDescription>|TM-Country: US
Source of data: Industrial Experience of Metropolitan Life
Volume of data: 767 thousand deaths, 48 million years of risk
Observation period: 1896 to 1905
Unit of observation: Number of lives
Construction method: Represented the mortality of the time quite accurately
Minimum age: 1
Maximum age: 98
Number of decimal places: 5
Hash value: 1802739097
</TableDescription>
    <Comments>Required or accepted by most states from 1907-1948
These values have been checked by examining 1-3 differences
but have not been proofread. If you find any errors
please report them to Actuaries On Line</Comments>
    <KeyWord>Aggregate</KeyWord>
    <KeyWord>Insured mortality</KeyWord>
    <KeyWord>United States of America</KeyWord>
  </ContentClassification>
  <Table>
    <MetaData>
      <TableDescription>1906 US Standard Industrial, Age Next-Aggregate</TableDescription>
      <Nation tc="1">United States of America</Nation>
      <ScalingFactor>0</ScalingFactor>
      <DataType tc="2">Floating Point</DataType>
      <AxisDef id="Age">
        <ScaleType tc="3">Age</ScaleType>
        <AxisName>Age</AxisName>
        <MinScaleValue>1</MinScaleValue>
        <MaxScaleValue>98</MaxScaleValue>
        <Increment>1</Increment>
      </AxisDef>
    </MetaData>
    <Values>
      <Axis>
        <Y t="1">0.08183</Y>
        <Y t="2">0.03467</Y>
        <Y t="3">0.02247</Y>
        <Y t="4">0.01323</Y>
        <Y t="5">0.00946</Y>
        <Y t="6">0.00720</Y>
        <Y t="7">0.00595</Y>
        <Y t="8">0.00489</Y>
        <Y t="9">0.00406</Y>
        <Y t="10">0.00344</Y>
        <Y t="11">0.00305</Y>
        <Y t="12">0.00288</Y>
        <Y t="13">0.00294</Y>
        <Y t="14">0.00316</Y>
        <Y t="15">0.00358</Y>
        <Y t="16">0.00411</Y>
        <Y t="17">0.00478</Y>
        <Y t="18">0.00549</Y>
        <Y t="19">0.00621</Y>
        <Y t="20">0.00691</Y>
        <Y t="21">0.00756</Y>
        <Y t="22">0.00815</Y>
        <Y t="23">0.00864</Y>
        <Y t="24">0.00909</Y>
        <Y t="25">0.00952</Y>
        <Y t="26">0.00994</Y>
        <Y t="27">0.01035</Y>
        <Y t="28">0.01080</Y>
        <Y t="29">0.01124</Y>
        <Y t="30">0.01160</Y>
        <Y t="31">0.01197</Y>
        <Y t="32">0.01226</Y>
        <Y t="33">0.01249</Y>
        <Y t="34">0.01274</Y>
        <Y t="35">0.01298</Y>
        <Y t="36">0.01322</Y>
        <Y t="37">0.01353</Y>
        <Y t="38">0.01386</Y>
        <Y t="39">0.01423</Y>
        <Y t="40">0.01465</Y>
        <Y t="41">0.01509</Y>
        <Y t="42">0.01557</Y>
        <Y t="43">0.01610</Y>
        <Y t="44">0.01671</Y>
        <Y t="45">0.01735</Y>
        <Y t="46">0.01807</Y>
        <Y t="47">0.01882</Y>
        <Y t="48">0.01969</Y>
        <Y t="49">0.02062</Y>
        <Y t="50">0.02164</Y>
        <Y t="51">0.02277</Y>
        <Y t="52">0.02402</Y>
        <Y t="53">0.02534</Y>
        <Y t="54">0.02683</Y>
        <Y t="55">0.02846</Y>
        <Y t="56">0.03023</Y>
        <Y t="57">0.03220</Y>
        <Y t="58">0.03432</Y>
        <Y t="59">0.03666</Y>
        <Y t="60">0.03922</Y>
        <Y t="61">0.04203</Y>
        <Y t="62">0.04509</Y>
        <Y t="63">0.04844</Y>
        <Y t="64">0.05211</Y>
        <Y t="65">0.05613</Y>
        <Y t="66">0.06053</Y>
        <Y t="67">0.06531</Y>
        <Y t="68">0.07053</Y>
        <Y t="69">0.07622</Y>
        <Y t="70">0.08247</Y>
        <Y t="71">0.08926</Y>
        <Y t="72">0.09666</Y>
        <Y t="73">0.10469</Y>
        <Y t="74">0.11340</Y>
        <Y t="75">0.12297</Y>
        <Y t="76">0.13328</Y>
        <Y t="77">0.14444</Y>
        <Y t="78">0.15657</Y>
        <Y t="79">0.16962</Y>
        <Y t="80">0.18380</Y>
        <Y t="81">0.19902</Y>
        <Y t="82">0.21557</Y>
        <Y t="83">0.23315</Y>
        <Y t="84">0.25198</Y>
        <Y t="85">0.27231</Y>
        <Y t="86">0.29383</Y>
        <Y t="87">0.31600</Y>
        <Y t="88">0.34146</Y>
        <Y t="89">0.36601</Y>
        <Y t="90">0.39519</Y>
        <Y t="91">0.42045</Y>
        <Y t="92">0.45098</Y>
        <Y t="93">0.46429</Y>
        <Y t="94">0.50000</Y>
        <Y t="95">0.53333</Y>
        <Y t="96">0.57143</Y>
        <Y t="97">0.66667</Y>
        <Y t="98">1.00000</Y>
      </Axis>
    </Values>
  </Table>
</XTbML>

