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<h1 itemprop="headline">The Impact of Retirement Account Distributions on Measures of Family Income</h1>
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<div id="hByline">by <span itemprop="author">Howard M. Iams and Patrick J. Purcell</span><br>Social Security Bulletin, <abbr title="Volume">Vol.</abbr> 73, <abbr title="Number">No.</abbr> 2, 2013 (released May 2013)</div>
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<div id="breadcrumbs" itemscope itemtype="http://schema.org/BreadcrumbList">You are here: <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"><a href="/" itemprop="item"><span itemprop="name">Social Security Administration</span></a><meta itemprop="position" content="1" /></span> > <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"><a href="/policy/index.html" itemprop="item"><span itemprop="name">Research, Statistics & Policy Analysis</span></a><meta itemprop="position" content="2" /></span> > <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"><a href="/policy/docs/ssb/index.html" itemprop="item"><span itemprop="name">Social Security Bulletin</span></a><meta itemprop="position" content="3" /></span> > <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"><a href="index.html" itemprop="item"><span itemprop="name"><abbr title="Volume">Vol.</abbr> 73, <abbr title="Number">No.</abbr> 2</span></a><meta itemprop="position" content="4" /></span></div>
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<div class="innards">
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<div class="introBox">
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<p id="synopsis" itemprop="description">In recent decades, employers have increasingly replaced defined benefit (<abbr class="spell">DB</abbr>) pensions with defined contribution (<abbr class="spell">DC</abbr>) retirement accounts for their employees. <abbr class="spell">DB</abbr> plans provide annuities, or lifetime benefits paid at regular intervals. The timing and amounts of <abbr class="spell">DC</abbr> distributions, however, may vary widely. Most surveys that provide data on the family income of the aged either collect no data on nonannuity retirement account distributions, or exclude such distributions from their summary measures of family income. We use Survey of Income and Program Participation (<abbr>SIPP</abbr>) data for 2009 to estimate the impact of including retirement account distributions on total family income calculations. We find that about <span class="nobr">one-fifth</span> of aged families received distributions from retirement accounts in 2009. Measured mean income for those families would be about 15 percent higher and median income would be 18 percent higher if those distributions were included in the <abbr>SIPP</abbr> summary measure of family income. </p>
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<hr />
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<div class="eightypercent">
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<p>Howard Iams is a senior research advisor to the Office of Research, Evaluation, and Statistics (<abbr class="spell">ORES</abbr>), Office of Retirement and Disability Policy (<abbr class="spell">ORDP</abbr>), Social Security Administration (<abbr class="spell">SSA</abbr>). Patrick Purcell is an economist with the Office of Policy Evaluation and Modeling, <abbr class="spell">ORES</abbr>, <abbr class="spell">ORDP</abbr>, <abbr class="spell">SSA</abbr>.</p>
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<p>Contents of this publication are <a href="/policy/accessibility.html">not copyrighted</a>; any items may be reprinted, but citation of the <i>Social Security Bulletin</i> as the source is requested. The findings and conclusions presented in the <i>Bulletin</i> are those of the authors and do not necessarily represent the views of the Social Security Administration.</p>
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</div>
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</div>
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<h2>Introduction</h2>
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<div class="abbrtable">
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<table role="presentation">
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<caption>Selected Abbreviations</caption>
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<tr>
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<td><abbr class="spell">CPS</abbr></td>
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<td>Current Population Survey</td>
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</tr>
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<tr>
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<td><abbr class="spell">DB</abbr></td>
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<td>defined benefit</td>
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</tr>
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<tr>
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<td><abbr class="spell">DC</abbr></td>
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<td>defined contribution</td>
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</tr>
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<tr>
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<td><abbr class="spell">IRA</abbr></td>
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<td>individual retirement account</td>
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</tr>
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<tr>
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<td><abbr class="spell">IRS</abbr></td>
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<td>Internal Revenue Service</td>
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</tr>
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<tr>
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<td><abbr>SIPP</abbr></td>
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<td>Survey of Income and Program Participation</td>
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</tr>
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</table>
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</div>
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<p>The income of the aged is composed largely of three pillars: Social Security benefits, asset income, and pension income (Federal Interagency Forum on Aging-Related Statistics 2012, 14; <abbr class="spell">SSA</abbr> 2012). In the past three decades, the primary source of pension income has shifted from the traditional defined benefit (<abbr class="spell">DB</abbr>) pension toward defined contribution (<abbr class="spell">DC</abbr>) plans, which operate as retirement savings accounts (Anguelov, Iams, and Purcell 2012). The most common <abbr class="spell">DC</abbr> plans are called <span class="nobr">401(k)</span> plans, after the section of the Internal Revenue Code under which Congress first authorized them in 1978.<sup><a href="#mn1" id="mt1">1</a></sup> As a consequence of the shift to <abbr class="spell">DC</abbr> plans, few private-sector employers still offer retirees traditional annuities that provide lifetime income.<sup><a href="#mn2" id="mt2">2</a></sup> That trend creates problems for measuring the income of the aged because major government data sources either do not collect information about distributions from retirement accounts or do not include those distributions in their summary measures of income (Anguelov, Iams, and Purcell 2012; Federal Interagency Forum on Aging-Related Statistics 2012, 74).</p>
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<p>This article examines the impact of including distributions from retirement accounts on the estimated income of families headed by persons aged 65 or older. After briefly describing our data source, we present our findings in three tables. Table 1 estimates the percentage of families that received distributions from retirement accounts in 2009. Table 2 estimates the mean and median values of the distributions from retirement accounts. Table 3 estimates the change in family income that would result from including retirement account distributions for affected families. All tables provide breakdowns by age, annual family income (excluding distributions), education, marital status (and, for unmarried persons, sex), and race.<sup><a href="#mn3" id="mt3">3</a></sup> We find that about <span class="nobr">one-fifth</span> of families received distributions from retirement accounts in 2009 and that including those distributions would increase measured mean income for those families by 15 percent and median income by 18 percent. Although the impact of retirement account distributions on retirement income is already significant, it is likely to become even greater in the future as younger cohorts of workers retire after having spent the majority of their careers working at jobs that offered only <abbr class="spell">DC</abbr> retirement plans.</p>
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<h2>Data and Methodology</h2>
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<p>We present data collected in the 2008 panel of the Census Bureau's Survey of Income and Program Participation (<abbr>SIPP</abbr>). The data reflect income in 2009, the first full year of income measured for that panel. We focus on the family incomes of married couples, unmarried men, and unmarried women aged 65 or older. <abbr>SIPP</abbr> interviews take place every 4 months and collect information about respondents' monthly income in the preceding 4 months. Among other income categories, the <abbr>SIPP</abbr> measures the amounts received as distributions from individual retirement accounts (<abbr class="spell">IRA</abbr>s), Keogh accounts for the self-employed, <span class="nobr">401(k)</span>-type <abbr class="spell">DC</abbr> plans, and <span class="nobr">lump-sum</span> payments from pension and retirement plans (Census Bureau <abbr>n.d.</abbr>).<sup><a href="#mn4" id="mt4">4</a></sup> Although the <abbr>SIPP</abbr> data file contains amounts received from such distributions each month, its summary measure of total family income excludes those distributions.<sup><a href="#mn5" id="mt5">5</a></sup> We summed the monthly values of the retirement plan distributions to estimate the 2009 totals. We then weighted the data using December 2009 weights to represent the <abbr class="spell">US</abbr> civilian noninstitutionalized population.</p>
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<p>We estimate the mean and median values of retirement account distributions for two age groups (<span class="nobr">65–70,</span> 71 or older) and by quartile of family income (without retirement account distributions), education (high school graduate or less, some college, college graduate), marital status and sex (married, unmarried men, unmarried women<sup><a href="#mn6" id="mt6">6</a></sup>), and race (white, black, other). The age categories reflect federal law requiring retirement accountholders to begin taking distributions from <abbr class="spell">IRA</abbr>s and <abbr class="spell">DC</abbr> accounts no later than the year after attaining age 70½.<sup><a href="#mn7" id="mt7">7</a></sup> The federal required minimum distribution in any year is determined by the account balance and the owner's remaining life expectancy according to Internal Revenue Service (<abbr class="spell">IRS</abbr>) actuarial assumptions (Purcell 2003). Poterba, Venti, and Wise (2011) analyzed distributions with <abbr>SIPP</abbr> data and found that most people did not begin taking distributions from their accounts until they were subject to the required minimum distribution at age 70½.<sup><a href="#mn8" id="mt8">8</a></sup></p>
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<h2>Results</h2>
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<p>About 19 percent of families headed by persons aged 65 or older received distributions from retirement accounts in 2009 (Table 1). Retirement distributions were received by a greater share of families headed by persons aged 71 or older (21 percent) than of those aged <span class="nobr">65–70</span> (15 percent). The receipt rate was higher among married couples (25 percent) than among unmarried men (15 percent) and unmarried women (14 percent). Receipt was also more common among families in the fourth (highest) and third income quartiles (24 percent and 25 percent, respectively) than among those in the second and lowest quartiles (18 percent and 8 percent, respectively). Receipt rates increased with educational attainment, ranging from 14 percent among those with a high school education or less to 23 percent among those with some college and to 28 percent among college graduates. Finally, the receipt rate was higher among whites (21 percent) than among blacks (6 percent) or other races (9 percent).</p>
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<div class="table" id="table1">
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<table>
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<caption><span class="tableNumber">Table 1. </span>Families headed by persons aged 65 or older, and percent receiving retirement account distributions, by selected characteristics, 2009</caption>
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<colgroup span="1" style="width:16em"></colgroup>
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<colgroup span="3" style="width:10em"></colgroup>
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<thead>
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<tr>
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<th class="stubHeading" id="c1">Characteristic</th>
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<th id="c2">Total families (in thousands)</th>
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<th id="c3">Families in sample (unweighted)</th>
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<th id="c4">Percent of families in sample receiving retirement account distributions</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th class="stub3" id="r1" headers="c1">Total</th>
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<td headers="r1 c2">24,541</td>
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<td headers="r1 c3">8,080</td>
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<td headers="r1 c4">19</td>
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</tr>
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<tr>
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<th class="stub0" id="r2" headers="c1">Age</th>
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<td colspan="3"></td>
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</tr>
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<tr>
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<th class="stub1" id="r3" headers="r2 c1"><span class="nobr">65–70</span></th>
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<td headers="r2 r3 c2">8,306</td>
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<td headers="r2 r3 c3">2,747</td>
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<td headers="r2 r3 c4">15</td>
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</tr>
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<tr>
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<th class="stub1" id="r4" headers="r2 c1">71 or older</th>
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<td headers="r2 r4 c2">16,236</td>
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<td headers="r2 r4 c3">5,333</td>
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<td headers="r2 r4 c4">21</td>
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</tr>
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<tr>
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<th class="stub0" id="r5" headers="c1">Marital status and sex </th>
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<td colspan="3"></td>
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</tr>
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<tr>
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<th class="stub1" id="r6" headers="r5 c1">Married couples</th>
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<td headers="r5 r6 c2">10,373</td>
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<td headers="r5 r6 c3">3,425</td>
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<td headers="r5 r6 c4">25</td>
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</tr>
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<tr>
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<th class="stub1" id="r7" headers="r5 c1">Unmarried men</th>
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<td headers="r5 r7 c2">3,746</td>
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<td headers="r5 r7 c3">1,222</td>
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<td headers="r5 r7 c4">15</td>
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</tr>
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<tr>
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<th class="stub1" id="r8" headers="r5 c1">Unmarried women</th>
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<td headers="r5 r8 c2">10,422</td>
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<td headers="r5 r8 c3">3,433</td>
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<td headers="r5 r8 c4">14</td>
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</tr>
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<tr>
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<th class="stub0" id="r9" headers="c1">Age, marital status, and sex</th>
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<td colspan="3"></td>
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</tr>
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<tr>
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<th class="stub1" id="r10" headers="r9 c1"><span class="nobr">65–70</span></th>
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<td colspan="3"></td>
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</tr>
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<tr>
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<th class="stub2" id="r11" headers="r9 r10 c1">Married couples</th>
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<td headers="r9 r10 r11 c2">4,349</td>
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<td headers="r9 r10 r11 c3">1,427</td>
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<td headers="r9 r10 r11 c4">19</td>
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</tr>
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<tr>
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<th class="stub2" id="r12" headers="r9 r10 c1">Unmarried men</th>
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<td headers="r9 r10 r12 c2">1,250</td>
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<td headers="r9 r10 r12 c3">410</td>
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<td headers="r9 r10 r12 c4">12</td>
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</tr>
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<tr>
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<th class="stub2" id="r13" headers="r9 r10 c1">Unmarried women</th>
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<td headers="r9 r10 r13 c2">2,706</td>
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<td headers="r9 r10 r13 c3">910</td>
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<td headers="r9 r10 r13 c4">10</td>
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</tr>
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<tr>
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<th class="stub1" id="r14" headers="r9 c1">71 or older</th>
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<td colspan="3"></td>
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</tr>
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<tr>
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<th class="stub2" id="r15" headers="r9 r14 c1">Married couples</th>
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<td headers="r9 r14 r15 c2">6,024</td>
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<td headers="r9 r14 r15 c3">1,998</td>
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<td headers="r9 r14 r15 c4">30</td>
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</tr>
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<tr>
|
|
<th class="stub2" id="r16" headers="r9 r14 c1">Unmarried men</th>
|
|
<td headers="r9 r14 r16 c2">2,495</td>
|
|
<td headers="r9 r14 r16 c3">812</td>
|
|
<td headers="r9 r14 r16 c4">16</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r17" headers="r9 r14 c1">Unmarried women</th>
|
|
<td headers="r9 r14 r17 c2">7,716</td>
|
|
<td headers="r9 r14 r17 c3">2,523</td>
|
|
<td headers="r9 r14 r17 c4">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r18" headers="c1">Income quartile</th>
|
|
<td colspan="3"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r19" headers="r18 c1">First (lowest)</th>
|
|
<td headers="r18 r19 c2">6,138</td>
|
|
<td headers="r18 r19 c3">2,088</td>
|
|
<td headers="r18 r19 c4">8</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r20" headers="r18 c1">Second</th>
|
|
<td headers="r18 r20 c2">6,135</td>
|
|
<td headers="r18 r20 c3">2,064</td>
|
|
<td headers="r18 r20 c4">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r21" headers="r18 c1">Third</th>
|
|
<td headers="r18 r21 c2">6,134</td>
|
|
<td headers="r18 r21 c3">1,999</td>
|
|
<td headers="r18 r21 c4">25</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r22" headers="r18 c1">Fourth (highest)</th>
|
|
<td headers="r18 r22 c2">6,134</td>
|
|
<td headers="r18 r22 c3">1,929</td>
|
|
<td headers="r18 r22 c4">24</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r23" headers="c1">Education</th>
|
|
<td colspan="3"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r24" headers="r23 c1">High school or less</th>
|
|
<td headers="r23 r24 c2">14,869</td>
|
|
<td headers="r23 r24 c3">5,044</td>
|
|
<td headers="r23 r24 c4">14</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r25" headers="r23 c1">Some college</th>
|
|
<td headers="r23 r25 c2">3,931</td>
|
|
<td headers="r23 r25 c3">1,277</td>
|
|
<td headers="r23 r25 c4">23</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r26" headers="r23 c1">College graduate</th>
|
|
<td headers="r23 r26 c2">5,742</td>
|
|
<td headers="r23 r26 c3">1,759</td>
|
|
<td headers="r23 r26 c4">28</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r27" headers="c1">Race</th>
|
|
<td colspan="3"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r28" headers="r27 c1">White</th>
|
|
<td headers="r27 r28 c2">21,044</td>
|
|
<td headers="r27 r28 c3">6,819</td>
|
|
<td headers="r27 r28 c4">21</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r29" headers="r27 c1">Black</th>
|
|
<td headers="r27 r29 c2">2,308</td>
|
|
<td headers="r27 r29 c3">874</td>
|
|
<td headers="r27 r29 c4">6</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r30" headers="r27 c1">Other</th>
|
|
<td headers="r27 r30 c2">1,189</td>
|
|
<td headers="r27 r30 c3">387</td>
|
|
<td headers="r27 r30 c4">9</td>
|
|
</tr>
|
|
</tbody>
|
|
<tfoot>
|
|
<tr>
|
|
<td class="firstNote" colspan="4">SOURCE: <abbr>SIPP</abbr>, 2008 Panel.</td>
|
|
</tr>
|
|
<tr>
|
|
<td class="lastNote" colspan="4">NOTE: Totals do not necessarily equal the sum of rounded components.</td>
|
|
</tr>
|
|
</tfoot>
|
|
</table>
|
|
</div>
|
|
<p>The average value of retirement account distributions received in 2009 by families headed by persons aged 65 or older was $8,121 and the median value was $3,300 (Table 2).<sup><a href="#mn9" id="mt9">9</a></sup> The mean value was about two and a half times the median value, suggesting that the amounts were unevenly distributed, with higher values departing much farther from the median than lower values. Average values were higher among families of persons aged <span class="nobr">65–70</span> than those of persons aged 71 or older. The mean distribution amount was higher among married couples ($9,057) than among unmarried men ($7,508) and unmarried women ($6,658). Likewise, the median distribution was higher among married couples ($4,000) than unmarried men ($3,120) and unmarried women ($2,700). Average retirement account distributions increased with family income and education levels. Finally, the mean and median values were higher among families of other races ($11,990 and $4,272, respectively) than were those of whites ($8,116 and $3,400) and blacks ($5,440 and $1,855). The higher values for other races may reflect greater savings rates within that group.<sup><a href="#mn10" id="mt10">10</a></sup></p>
|
|
<div class="table" id="table2">
|
|
<table>
|
|
<caption><span class="tableNumber">Table 2. </span>Families headed by persons aged 65 or older that received retirement account distributions, and mean and median distribution amounts, by selected characteristics, 2009</caption>
|
|
<colgroup span="1" style="width:16em"></colgroup>
|
|
<colgroup span="4" style="width:10em"></colgroup>
|
|
<thead>
|
|
<tr>
|
|
<th class="stubHeading" id="c1">Characteristic</th>
|
|
<th id="c2">Families (in thousands)</th>
|
|
<th id="c3">Families in sample (unweighted)</th>
|
|
<th id="c4">Mean distribution amount ($)</th>
|
|
<th id="c5">Median distribution amount ($)</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th class="stub3" id="r1" headers="c1">Total</th>
|
|
<td headers="r1 c2">4,620</td>
|
|
<td headers="r1 c3">1,457</td>
|
|
<td headers="r1 c4">8,121</td>
|
|
<td headers="r1 c5">3,300</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r2" headers="c1">Age</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r3" headers="r2 c1"><span class="nobr">65–70</span></th>
|
|
<td headers="r2 r3 c2">1,231</td>
|
|
<td headers="r2 r3 c3">397</td>
|
|
<td headers="r2 r3 c4">9,720</td>
|
|
<td headers="r2 r3 c5">5,000</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r4" headers="r2 c1">71 or older</th>
|
|
<td headers="r2 r4 c2">3,389</td>
|
|
<td headers="r2 r4 c3">1,060</td>
|
|
<td headers="r2 r4 c4">7,541</td>
|
|
<td headers="r2 r4 c5">3,000</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r5" headers="c1">Marital status and sex </th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r6" headers="r5 c1">Married couples</th>
|
|
<td headers="r5 r6 c2">2,622</td>
|
|
<td headers="r5 r6 c3">847</td>
|
|
<td headers="r5 r6 c4">9,057</td>
|
|
<td headers="r5 r6 c5">4,000</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r7" headers="r5 c1">Unmarried men</th>
|
|
<td headers="r5 r7 c2">550</td>
|
|
<td headers="r5 r7 c3">165</td>
|
|
<td headers="r5 r7 c4">7,508</td>
|
|
<td headers="r5 r7 c5">3,120</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r8" headers="r5 c1">Unmarried women</th>
|
|
<td headers="r5 r8 c2">1,448</td>
|
|
<td headers="r5 r8 c3">445</td>
|
|
<td headers="r5 r8 c4">6,658</td>
|
|
<td headers="r5 r8 c5">2,700</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r9" headers="c1">Age, marital status, and sex</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r10" headers="r9 c1"><span class="nobr">65–70</span></th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r11" headers="r9 r10 c1">Married couples</th>
|
|
<td headers="r9 r10 r11 c2">806</td>
|
|
<td headers="r9 r10 r11 c3">263</td>
|
|
<td headers="r9 r10 r11 c4">10,580</td>
|
|
<td headers="r9 r10 r11 c5">5,100</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r12" headers="r9 r10 c1">Unmarried men</th>
|
|
<td headers="r9 r10 r12 c2">147</td>
|
|
<td headers="r9 r10 r12 c3">45</td>
|
|
<td headers="r9 r10 r12 c4">10,871</td>
|
|
<td headers="r9 r10 r12 c5">5,900</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r13" headers="r9 r10 c1">Unmarried women</th>
|
|
<td headers="r9 r10 r13 c2">279</td>
|
|
<td headers="r9 r10 r13 c3">89</td>
|
|
<td headers="r9 r10 r13 c4">6,626</td>
|
|
<td headers="r9 r10 r13 c5">3,075</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r14" headers="r9 c1">71 or older</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r15" headers="r9 r14 c1">Married couples</th>
|
|
<td headers="r9 r14 r15 c2">1,816</td>
|
|
<td headers="r9 r14 r15 c3">584</td>
|
|
<td headers="r9 r14 r15 c4">8,382</td>
|
|
<td headers="r9 r14 r15 c5">3,325</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r16" headers="r9 r14 c1">Unmarried men</th>
|
|
<td headers="r9 r14 r16 c2">403</td>
|
|
<td headers="r9 r14 r16 c3">120</td>
|
|
<td headers="r9 r14 r16 c4">6,286</td>
|
|
<td headers="r9 r14 r16 c5">2,600</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r17" headers="r9 r14 c1">Unmarried women</th>
|
|
<td headers="r9 r14 r17 c2">1,169</td>
|
|
<td headers="r9 r14 r17 c3">356</td>
|
|
<td headers="r9 r14 r17 c4">6,666</td>
|
|
<td headers="r9 r14 r17 c5">2,400</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r18" headers="c1">Income quartile</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r19" headers="r18 c1">First (lowest)</th>
|
|
<td headers="r18 r19 c2">519</td>
|
|
<td headers="r18 r19 c3">166</td>
|
|
<td headers="r18 r19 c4">5,283</td>
|
|
<td headers="r18 r19 c5">2,200</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r20" headers="r18 c1">Second</th>
|
|
<td headers="r18 r20 c2">1,128</td>
|
|
<td headers="r18 r20 c3">355</td>
|
|
<td headers="r18 r20 c4">6,866</td>
|
|
<td headers="r18 r20 c5">2,800</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r21" headers="r18 c1">Third</th>
|
|
<td headers="r18 r21 c2">1,510</td>
|
|
<td headers="r18 r21 c3">477</td>
|
|
<td headers="r18 r21 c4">8,122</td>
|
|
<td headers="r18 r21 c5">3,684</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r22" headers="r18 c1">Fourth (highest)</th>
|
|
<td headers="r18 r22 c2">1,463</td>
|
|
<td headers="r18 r22 c3">459</td>
|
|
<td headers="r18 r22 c4">10,095</td>
|
|
<td headers="r18 r22 c5">4,200</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r23" headers="c1">Education</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r24" headers="r23 c1">High school or less</th>
|
|
<td headers="r23 r24 c2">2,091</td>
|
|
<td headers="r23 r24 c3">676</td>
|
|
<td headers="r23 r24 c4">6,277</td>
|
|
<td headers="r23 r24 c5">2,400</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r25" headers="r23 c1">Some college</th>
|
|
<td headers="r23 r25 c2">922</td>
|
|
<td headers="r23 r25 c3">298</td>
|
|
<td headers="r23 r25 c4">7,026</td>
|
|
<td headers="r23 r25 c5">3,300</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r26" headers="r23 c1">College graduate</th>
|
|
<td headers="r23 r26 c2">1,606</td>
|
|
<td headers="r23 r26 c3">483</td>
|
|
<td headers="r23 r26 c4">11,152</td>
|
|
<td headers="r23 r26 c5">4,800</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r27" headers="c1">Race</th>
|
|
<td colspan="4"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r28" headers="r27 c1">White</th>
|
|
<td headers="r27 r28 c2">4,363</td>
|
|
<td headers="r27 r28 c3">1,377</td>
|
|
<td headers="r27 r28 c4">8,116</td>
|
|
<td headers="r27 r28 c5">3,400</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r29" headers="r27 c1">Black</th>
|
|
<td headers="r27 r29 c2">148</td>
|
|
<td headers="r27 r29 c3">49</td>
|
|
<td headers="r27 r29 c4">5,440</td>
|
|
<td headers="r27 r29 c5">1,855</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r30" headers="r27 c1">Other</th>
|
|
<td headers="r27 r30 c2">109</td>
|
|
<td headers="r27 r30 c3">31</td>
|
|
<td headers="r27 r30 c4">11,990</td>
|
|
<td headers="r27 r30 c5">4,272</td>
|
|
</tr>
|
|
</tbody>
|
|
<tfoot>
|
|
<tr>
|
|
<td class="onlyNote" colspan="5">SOURCE: <abbr>SIPP</abbr>, 2008 Panel.</td>
|
|
</tr>
|
|
</tfoot>
|
|
</table>
|
|
</div>
|
|
<p>How much would total measured family income increase if distributions from retirement accounts were included? For families who received distributions in 2009, mean family income would increase 15 percent and median income would increase 18 percent if their distributions were included in the <abbr>SIPP</abbr> summary measure of total income (Table 3). Mean income would increase from $53,434 without distributions to $61,555 with distributions. Median income would increase by $7,704, from $41,984 without distributions to $49,688 with distributions.</p>
|
|
<div class="table" id="table3">
|
|
<table>
|
|
<caption><span class="tableNumber">Table 3. </span>Estimated mean and median family income including and excluding retirement account distributions, for families headed by persons aged 65 or older that received distributions, by selected characteristics, 2009</caption>
|
|
<colgroup span="1" style="width:16em"></colgroup>
|
|
<colgroup span="6" style="width:8em"></colgroup>
|
|
<thead>
|
|
<tr>
|
|
<th rowspan="2" class="stubHeading" id="c1">Characteristic</th>
|
|
<th colspan="3" class="spanner" id="c2">Mean family income </th>
|
|
<th colspan="3" class="spanner" id="c3">Median family income </th>
|
|
</tr>
|
|
<tr>
|
|
<th id="c4" headers="c2">Excluding distributions ($)</th>
|
|
<th id="c5" headers="c2">Including distributions ($)</th>
|
|
<th id="c6" headers="c2">Percent increase</th>
|
|
<th id="c7" headers="c3">Excluding distributions ($)</th>
|
|
<th id="c8" headers="c3">Including distributions ($)</th>
|
|
<th id="c9" headers="c3">Percent increase</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th class="stub3" id="r1" headers="c1">Total</th>
|
|
<td headers="r1 c2 c4">53,434</td>
|
|
<td headers="r1 c2 c5">61,555</td>
|
|
<td headers="r1 c2 c6">15</td>
|
|
<td headers="r1 c3 c7">41,984</td>
|
|
<td headers="r1 c3 c8">49,688</td>
|
|
<td headers="r1 c3 c9">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r2" headers="c1">Age</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r3" headers="r2 c1"><span class="nobr">65–70</span></th>
|
|
<td headers="r2 r3 c2 c4">63,447</td>
|
|
<td headers="r2 r3 c2 c5">73,166</td>
|
|
<td headers="r2 r3 c2 c6">15</td>
|
|
<td headers="r2 r3 c3 c7">50,994</td>
|
|
<td headers="r2 r3 c3 c8">58,446</td>
|
|
<td headers="r2 r3 c3 c9">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r4" headers="r2 c1">71 or older</th>
|
|
<td headers="r2 r4 c2 c4">49,796</td>
|
|
<td headers="r2 r4 c2 c5">57,337</td>
|
|
<td headers="r2 r4 c2 c6">15</td>
|
|
<td headers="r2 r4 c3 c7">39,564</td>
|
|
<td headers="r2 r4 c3 c8">46,892</td>
|
|
<td headers="r2 r4 c3 c9">19</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r5" headers="c1">Marital status and sex </th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r6" headers="r5 c1">Married couples</th>
|
|
<td headers="r5 r6 c2 c4">63,461</td>
|
|
<td headers="r5 r6 c2 c5">72,519</td>
|
|
<td headers="r5 r6 c2 c6">14</td>
|
|
<td headers="r5 r6 c3 c7">52,934</td>
|
|
<td headers="r5 r6 c3 c8">60,840</td>
|
|
<td headers="r5 r6 c3 c9">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r7" headers="r5 c1">Unmarried men</th>
|
|
<td headers="r5 r7 c2 c4">47,465</td>
|
|
<td headers="r5 r7 c2 c5">54,973</td>
|
|
<td headers="r5 r7 c2 c6">16</td>
|
|
<td headers="r5 r7 c3 c7">35,181</td>
|
|
<td headers="r5 r7 c3 c8">42,171</td>
|
|
<td headers="r5 r7 c3 c9">20</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r8" headers="r5 c1">Unmarried women</th>
|
|
<td headers="r5 r8 c2 c4">37,540</td>
|
|
<td headers="r5 r8 c2 c5">44,198</td>
|
|
<td headers="r5 r8 c2 c6">18</td>
|
|
<td headers="r5 r8 c3 c7">27,368</td>
|
|
<td headers="r5 r8 c3 c8">32,952</td>
|
|
<td headers="r5 r8 c3 c9">20</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r9" headers="c1">Age, marital status, and sex</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r10" headers="r9 c1"><span class="nobr">65–70</span></th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r11" headers="r9 r10 c1">Married couples</th>
|
|
<td headers="r9 r10 r11 c2 c4">72,358</td>
|
|
<td headers="r9 r10 r11 c2 c5">82,938</td>
|
|
<td headers="r9 r10 r11 c2 c6">15</td>
|
|
<td headers="r9 r10 r11 c3 c7">57,122</td>
|
|
<td headers="r9 r10 r11 c3 c8">70,623</td>
|
|
<td headers="r9 r10 r11 c3 c9">24</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r12" headers="r9 r10 c1">Unmarried men</th>
|
|
<td headers="r9 r10 r12 c2 c4">44,870</td>
|
|
<td headers="r9 r10 r12 c2 c5">55,740</td>
|
|
<td headers="r9 r10 r12 c2 c6">24</td>
|
|
<td headers="r9 r10 r12 c3 c7">36,107</td>
|
|
<td headers="r9 r10 r12 c3 c8">49,035</td>
|
|
<td headers="r9 r10 r12 c3 c9">36</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r13" headers="r9 r10 c1">Unmarried women</th>
|
|
<td headers="r9 r10 r13 c2 c4">47,435</td>
|
|
<td headers="r9 r10 r13 c2 c5">54,061</td>
|
|
<td headers="r9 r10 r13 c2 c6">14</td>
|
|
<td headers="r9 r10 r13 c3 c7">31,502</td>
|
|
<td headers="r9 r10 r13 c3 c8">38,805</td>
|
|
<td headers="r9 r10 r13 c3 c9">23</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r14" headers="r9 c1">71 or older</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r15" headers="r9 r14 c1">Married couples</th>
|
|
<td headers="r9 r14 r15 c2 c4">59,514</td>
|
|
<td headers="r9 r14 r15 c2 c5">67,896</td>
|
|
<td headers="r9 r14 r15 c2 c6">14</td>
|
|
<td headers="r9 r14 r15 c3 c7">50,676</td>
|
|
<td headers="r9 r14 r15 c3 c8">58,464</td>
|
|
<td headers="r9 r14 r15 c3 c9">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r16" headers="r9 r14 c1">Unmarried men</th>
|
|
<td headers="r9 r14 r16 c2 c4">48,408</td>
|
|
<td headers="r9 r14 r16 c2 c5">54,694</td>
|
|
<td headers="r9 r14 r16 c2 c6">13</td>
|
|
<td headers="r9 r14 r16 c3 c7">34,651</td>
|
|
<td headers="r9 r14 r16 c3 c8">40,320</td>
|
|
<td headers="r9 r14 r16 c3 c9">16</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub2" id="r17" headers="r9 r14 c1">Unmarried women</th>
|
|
<td headers="r9 r14 r17 c2 c4">35,183</td>
|
|
<td headers="r9 r14 r17 c2 c5">41,849</td>
|
|
<td headers="r9 r14 r17 c2 c6">19</td>
|
|
<td headers="r9 r14 r17 c3 c7">26,681</td>
|
|
<td headers="r9 r14 r17 c3 c8">32,007</td>
|
|
<td headers="r9 r14 r17 c3 c9">20</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r18" headers="c1">Income quartile</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r19" headers="r18 c1">First (lowest)</th>
|
|
<td headers="r18 r19 c2 c4">14,619</td>
|
|
<td headers="r18 r19 c2 c5">19,902</td>
|
|
<td headers="r18 r19 c2 c6">36</td>
|
|
<td headers="r18 r19 c3 c7">15,308</td>
|
|
<td headers="r18 r19 c3 c8">18,128</td>
|
|
<td headers="r18 r19 c3 c9">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r20" headers="r18 c1">Second</th>
|
|
<td headers="r18 r20 c2 c4">26,834</td>
|
|
<td headers="r18 r20 c2 c5">33,700</td>
|
|
<td headers="r18 r20 c2 c6">26</td>
|
|
<td headers="r18 r20 c3 c7">27,034</td>
|
|
<td headers="r18 r20 c3 c8">30,677</td>
|
|
<td headers="r18 r20 c3 c9">13</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r21" headers="r18 c1">Third</th>
|
|
<td headers="r18 r21 c2 c4">44,413</td>
|
|
<td headers="r18 r21 c2 c5">52,535</td>
|
|
<td headers="r18 r21 c2 c6">18</td>
|
|
<td headers="r18 r21 c3 c7">43,101</td>
|
|
<td headers="r18 r21 c3 c8">49,712</td>
|
|
<td headers="r18 r21 c3 c9">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r22" headers="r18 c1">Fourth (highest)</th>
|
|
<td headers="r18 r22 c2 c4">97,023</td>
|
|
<td headers="r18 r22 c2 c5">107,118</td>
|
|
<td headers="r18 r22 c2 c6">10</td>
|
|
<td headers="r18 r22 c3 c7">81,698</td>
|
|
<td headers="r18 r22 c3 c8">90,648</td>
|
|
<td headers="r18 r22 c3 c9">11</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r23" headers="c1">Education</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r24" headers="r23 c1">High school or less</th>
|
|
<td headers="r23 r24 c2 c4">43,614</td>
|
|
<td headers="r23 r24 c2 c5">49,891</td>
|
|
<td headers="r23 r24 c2 c6">14</td>
|
|
<td headers="r23 r24 c3 c7">35,814</td>
|
|
<td headers="r23 r24 c3 c8">42,132</td>
|
|
<td headers="r23 r24 c3 c9">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r25" headers="r23 c1">Some college</th>
|
|
<td headers="r23 r25 c2 c4">48,288</td>
|
|
<td headers="r23 r25 c2 c5">55,314</td>
|
|
<td headers="r23 r25 c2 c6">15</td>
|
|
<td headers="r23 r25 c3 c7">39,386</td>
|
|
<td headers="r23 r25 c3 c8">45,317</td>
|
|
<td headers="r23 r25 c3 c9">15</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r26" headers="r23 c1">College graduate</th>
|
|
<td headers="r23 r26 c2 c4">69,177</td>
|
|
<td headers="r23 r26 c2 c5">80,328</td>
|
|
<td headers="r23 r26 c2 c6">16</td>
|
|
<td headers="r23 r26 c3 c7">56,794</td>
|
|
<td headers="r23 r26 c3 c8">67,504</td>
|
|
<td headers="r23 r26 c3 c9">19</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub0" id="r27" headers="c1">Race</th>
|
|
<td colspan="6"></td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r28" headers="r27 c1">White</th>
|
|
<td headers="r27 r28 c2 c4">52,162</td>
|
|
<td headers="r27 r28 c2 c5">60,278</td>
|
|
<td headers="r27 r28 c2 c6">16</td>
|
|
<td headers="r27 r28 c3 c7">41,652</td>
|
|
<td headers="r27 r28 c3 c8">49,138</td>
|
|
<td headers="r27 r28 c3 c9">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r29" headers="r27 c1">Black</th>
|
|
<td headers="r27 r29 c2 c4">73,270</td>
|
|
<td headers="r27 r29 c2 c5">78,711</td>
|
|
<td headers="r27 r29 c2 c6">7</td>
|
|
<td headers="r27 r29 c3 c7">49,405</td>
|
|
<td headers="r27 r29 c3 c8">58,405</td>
|
|
<td headers="r27 r29 c3 c9">18</td>
|
|
</tr>
|
|
<tr>
|
|
<th class="stub1" id="r30" headers="r27 c1">Other</th>
|
|
<td headers="r27 r30 c2 c4">77,545</td>
|
|
<td headers="r27 r30 c2 c5">89,535</td>
|
|
<td headers="r27 r30 c2 c6">15</td>
|
|
<td headers="r27 r30 c3 c7">63,684</td>
|
|
<td headers="r27 r30 c3 c8">74,416</td>
|
|
<td headers="r27 r30 c3 c9">17</td>
|
|
</tr>
|
|
</tbody>
|
|
<tfoot>
|
|
<tr>
|
|
<td class="onlyNote" colspan="7">SOURCE: <abbr>SIPP</abbr>, 2008 Panel.</td>
|
|
</tr>
|
|
</tfoot>
|
|
</table>
|
|
</div>
|
|
<p>The percent change in mean and median income produced by adding retirement account distributions varies among characteristics and, for some characteristics, the percent change varies between the mean and median values. Mean values are affected by outliers, while a median, representing the middle of the distribution, is unaffected by how extreme the values in the tails of the distribution may be. We found no difference between age groups in the percent change of mean family income when including retirement account distributions, but the impact on the median value was higher among the families of persons aged 71 and older (19 percent) than those aged <span class="nobr">65–70</span> (15 percent). The smallest impact on mean and median income by marital status and sex was on married couples (14 percent and 15 percent, respectively) and the largest was on income of unmarried women (18 percent and 20 percent, respectively), with unmarried men falling in between (16 percent and 20 percent, respectively). The effect on mean values was inversely related to family income quartile, falling from 36 percent in the lowest quartile to 26 percent in the second quartile, 18 percent in the third quartile, and 10 percent in the fourth (highest) quartile. The impact on median values also was generally inversely related to income quartile, with the greatest impact on the lowest quartile (18 percent) and the smallest impact on the highest quartile (11 percent). Within educational attainment groups, the greatest impact on mean and median income was among college graduates, although the differences across the education categories were small. Finally, the smallest impact on mean income by race was for black families (7 percent), compared with 16 percent for whites and 15 percent for other races. However, the impact of including retirement account distributions in median family income varied little by race, with all three groups experiencing an increase of 17 to 18 percent.</p>
|
|
<p>Including distributions from retirement accounts in family income increased mean and median income in all four income quartiles. Among families of persons aged 65 or older, retirement account distributions in 2009 were three times as likely for those in the highest income quartile as for those in the lowest quartile (24 percent versus 8 percent, Table 1). Likewise, retirement account distributions among those in the highest income quartile were substantially larger than those reported in the lowest quartile. In the top quartile, the mean and median total distributions in 2009 were $10,095 and $4,200, respectively, and the corresponding values for the lowest quartile were $5,283 and $2,200 (Table 2).</p>
|
|
<p>Although families in the top income quartile were more likely to have received a retirement account distribution, and received larger distributions on average than those in the bottom income quartile, including retirement account distributions in estimates of total income had a negligible impact on income inequality. The share of total income received by people aged 65 or older in the top income quartile fell from 53.9 percent when retirement account distributions were excluded to 53.4 percent when they were included (not shown). The share of total income received by those in the lowest quartile was 7.2 percent, regardless of whether retirement account distributions were included.<sup><a href="#mn11" id="mt11">11</a></sup></p>
|
|
<h2>Are Retirement Account Distributions Income?</h2>
|
|
<p>The Census Bureau does not measure distributions from retirement accounts in the Current Population Survey (<abbr class="spell">CPS</abbr>) or the American Community Survey unless they are received as annuities, which are an increasingly uncommon retirement account distribution method (Anguelov, Iams, and Purcell 2012).<sup><a href="#mn12" id="mt12">12</a></sup> The <abbr>SIPP</abbr> asks about distributions from retirement accounts, but it does not include those distributions in its summary measure of total family income. We believe that, like the <abbr>SIPP</abbr>, the <abbr class="spell">CPS</abbr> and the American Community Survey should collect information about amounts received as distributions from retirement accounts. Then, regardless of whether the Census Bureau includes those distributions in the survey variables that represent total household, family, and personal income, analysts would be able to do so.</p>
|
|
<p>Accurately measuring distributions from retirement accounts can be more difficult than measuring income from a <abbr class="spell">DB</abbr> pension. Typically, <abbr class="spell">DB</abbr> pension income is received as a monthly annuity. In general, a household survey can ascertain income from a <abbr class="spell">DB</abbr> pension with three simple questions: Do you receive income from a pension? How often do you receive a pension check? What is the total amount you receive in each check? The same questions can be asked about each <abbr class="spell">DB</abbr> pension the respondent's household receives.</p>
|
|
<p>In contrast to <abbr class="spell">DB</abbr> pension income, <abbr class="spell">DC</abbr> account distributions often are taken at irregular intervals, whenever the retiree needs money; or in the case of required minimum distributions, they may occur just once a year. The amount depends on both the account balance and the accountholder's life expectancy, so it changes from year to year. For those reasons, survey respondents may have difficulty recalling distribution amounts and timing. In order to answer those questions accurately, respondents may need to refer to account statements or to the <abbr class="spell">IRS</abbr> Form <span class="nobr">1099-R</span> that they receive each January.</p>
|
|
<p>Another complication of counting retirement plan distributions as income is that part of each distribution represents a return to the employee of his or her own prior contributions to the account. In most cases, this problem does not arise with <abbr class="spell">DB</abbr> pensions because private-sector employees usually do not contribute to their <abbr class="spell">DB</abbr> plans.<sup><a href="#mn13" id="mt13">13</a></sup> Employees' contributions to their retirement accounts were part of their gross income in earlier years, and a general rule of accounting states that a dollar of income in one year should not be counted again as income in a later year.<sup><a href="#mn14" id="mt14">14</a></sup> Withdrawals from regular savings accounts, for example, are not treated as income by economists or the <abbr class="spell">IRS</abbr> because the deposits to those accounts were counted as income in earlier years, as was the interest credited to the account each year. Retirement accounts differ from regular savings accounts in that amounts contributed by employers, and the interest, dividends, and capital gains earned by the account, are not received by the employee until distributions are taken from the account, usually in retirement.</p>
|
|
<h2>Conclusion</h2>
|
|
<p>With the shift by employers from providing traditional <abbr class="spell">DB</abbr> pensions to <abbr class="spell">DC</abbr> plans over the past several decades, distributions from retirement accounts have become an important resource for the aged. In the private sector, traditional <abbr class="spell">DB</abbr> pensions that pay lifetime annuities to retirees have been largely supplanted by <abbr class="spell">DC</abbr> plans, which work like retirement savings accounts. Consequently, a large and growing proportion of Americans are entering retirement with much of their non–Social Security wealth held in retirement accounts. Distributions from those accounts are already a substantial source of income for retirees, and their importance will continue to grow in the future. Consequently, it will be increasingly important for government surveys of household income to accurately measure distributions from those accounts.</p>
|
|
<p>We estimate that almost <span class="nobr">one-fifth</span> (19 percent) of families aged 65 or older received distributions from retirement accounts in 2009.<sup><a href="#mn15" id="mt15">15</a></sup> Those distributions had a mean value of $8,121 and a median value of $3,300. If total family income in 2009 as measured in the <abbr>SIPP</abbr> had included those distributions, mean income would have been about 15 percent higher and median income would have been about 18 percent higher among families receiving distributions.</p>
|
|
<p>As the structure of retirement plans continues to evolve, government surveys that attempt to measure the economic well-being of older persons will need to be revised in response to those changes. If household surveys—especially the <abbr class="spell">CPS</abbr>, which is used to develop official estimates of household income and the number of persons in poverty—do not accurately identify sources and amounts of income, they will provide misleading results. Inaccurate statistics about household income could lead to inappropriate policies.</p>
|
|
<p>Among the Census Bureau's household surveys, the <abbr>SIPP</abbr> asks about distributions from retirement plans, but comparisons with <abbr class="spell">IRS</abbr> data indicate that the <abbr>SIPP</abbr> greatly underestimates the amounts of such distributions. The <abbr class="spell">CPS</abbr> captures distributions from retirement accounts only if they are taken as an annuity, which is not a common form of distribution. Most retirement accountholders take distributions at irregular intervals and in varying amounts. Although distributions from retirement accounts are more difficult to measure than income that is received regularly, the continued relevance of <abbr class="spell">CPS</abbr>-based estimates of the income of the elderly in the United States depends on the Census Bureau developing appropriate survey questions for that purpose.</p>
|
|
<div id="notes">
|
|
<h2>Notes</h2>
|
|
<p> <a href="#mt1" id="mn1">1</a> Other employer-sponsored accounts include <span class="nobr">403(b)</span> plans for employees of educational and cultural institutions and <span class="nobr">457(b)</span> deferred-compensation plans for employees of state and local governments.</p>
|
|
<p> <a href="#mt2" id="mn2">2</a> In its April–May 2012 survey of employers that sponsor retirement plans, Towers Watson (2012) found that only 6 percent offered a lifetime distribution option, and most of those sponsors reported that less than 5 percent of their employees chose the annuity option at retirement.</p>
|
|
<p> <a href="#mt3" id="mn3">3</a> We define married couples as those in which the husband is aged 65 or older, and we categorize couples according to the husband's sociodemographic characteristics.</p>
|
|
<p> <a href="#mt4" id="mn4">4</a> An <abbr class="spell">IRA</abbr> can contain either a workers' own contributions to the account, amounts that have been "rolled over" into the <abbr class="spell">IRA</abbr> from a <abbr class="spell">DC</abbr> plan, or both. The majority of money deposited into <abbr class="spell">IRA</abbr>s each year consists of rollovers from <abbr class="spell">DC</abbr> plans (Holden and Schrass 2012).</p>
|
|
<p> <a href="#mt5" id="mn5">5</a> The <abbr>SIPP</abbr> data dictionary defines the income variable <abbr class="spell">TFPNDIST</abbr> as "family distributions from pension plans: Reaggregated total family distributions from <abbr class="spell">IRA</abbr>'s, <abbr>KEOGH</abbr>, and <span class="nobr">401(k)</span> pension plans for the reference month after top-coding amounts," and the variable <abbr class="spell">TFLUMPSM</abbr> as "family retirement lump sum payments: Reaggregated total family lump sum payments from retirement plans for the reference month after top-coding amounts." We sum <abbr class="spell">TFPNDIST</abbr> and <abbr class="spell">TFLUMPSM</abbr> to estimate total retirement account distributions. Census Bureau excludes that amount from the variable <abbr class="spell">TFTOTINC</abbr>, its summary measure of family income.</p>
|
|
<p> <a href="#mt6" id="mn6">6</a> Unmarried includes never married, widowed, and divorced.</p>
|
|
<p> <a href="#mt7" id="mn7">7</a> The requirement applies to <abbr class="spell">IRA</abbr>s and <span class="nobr">401(k)</span> plans in which the participant was allowed to defer income taxes on amounts contributed to those plans. Roth <abbr class="spell">IRA</abbr>s or Roth <span class="nobr">401(k)</span> plans require no distributions because contributions to those accounts are taxable in the year they are contributed. In other words, in a traditional <abbr class="spell">IRA</abbr> or <span class="nobr">401(k)</span>, income taxes are levied when the money comes out of the account. In a Roth <abbr class="spell">IRA</abbr> or Roth <span class="nobr">401(k)</span>, income taxes are levied when the money goes into the account.</p>
|
|
<p> <a href="#mt8" id="mn8">8</a> Lower-income households with retirement accounts are more likely to take distributions before the required distribution age than are higher-income households. Households in the lower half of the income distribution, however, are less likely to have a retirement account than higher-income households.</p>
|
|
<p> <a href="#mt9" id="mn9">9</a> Values are calculated only for recipient families; that is, calculations exclude families without retirement account distributions.</p>
|
|
<p><a href="#mt10" id="mn10">10</a> Savings tend to rise with income. Asian-Americans constitute the largest group in the "other" race category, and according to the Census Bureau's March 2012 Current Population Survey, the 2011 median household income among Asian-Americans exceeded that of any other race/ethnic group. (DeNavas-Walt, Proctor, and Smith 2012, Table 1).</p>
|
|
<p><a href="#mt11" id="mn11">11</a> We had expected that including retirement account distributions in total income would increase income inequality because retirement account ownership is more common in the top income quartile than in the bottom quartile. However, retirement account distributions increased income in almost equal proportions in both quartiles.</p>
|
|
<p><a href="#mt12" id="mn12">12</a> Census Bureau officials have indicated that they are considering potential <abbr class="spell">CPS</abbr> questions about nonannuity retirement account distributions.</p>
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<p><a href="#mt13" id="mn13">13</a> With few exceptions, private-sector <abbr class="spell">DB</abbr> plans are funded by employer contributions and investment earnings. In the public sector, employees usually are required to contribute to their <abbr class="spell">DB</abbr> pension; therefore, in retirement, some of the income they receive represents a return to them of the contributions they made while they were working. Based on <abbr class="spell">IRS</abbr> instructions for calculating the taxable portion of pension income received by retirees from public-sector jobs, the return of contributions to retirees usually represents a relatively small fraction of their pension income.</p>
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<p><a href="#mt14" id="mn14">14</a> Regardless of whether income taxes are deferred on the employee's contributions, the amount contributed to a <abbr class="spell">DC</abbr> retirement plan or an <abbr class="spell">IRA</abbr> is part of his or her gross income in that year.</p>
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<p><a href="#mt15" id="mn15">15</a> We believe that 19 percent undercounts the actual share of families receiving such distributions over the year but we do not have access to the data from <abbr class="spell">IRS</abbr> Form <span class="nobr">1099-R,</span> issued by institutions distributing more than $10 from retirement vehicles. The Census Bureau has found that in 2009, about <span class="nobr">two-thirds</span> of <abbr class="spell">CPS</abbr> respondents who received <span class="nobr">1099-R</span> forms failed to report the distributions in the survey (Bee 2012, Table 2). If that proportion were also to apply to our <abbr>SIPP</abbr> data, almost <span class="nobr">three-fifths</span> of families would receive distributions, rather than the 19 percent we observe. Bryant, Holden, and Sabelhaus (2011) estimate from tax records that persons older than age 60 in 2006 received about $529 billion in taxable distributions from <abbr class="spell">DC</abbr> accounts including <abbr class="spell">IRA</abbr>s. From the <abbr>SIPP</abbr> data underlying our calculations for <a href="#table2">Table 2</a>, we estimate about $144 billion in taxable distributions for families of persons aged 60 or older in 2009, equal to about 27 percent of Bryant, Holden, and Sablehaus' estimate for 2006.</p>
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</div>
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<div id="references">
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<h2>References</h2>
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<p>Anguelov, Chris E., Howard M. Iams, and Patrick J. Purcell. 2012. "<a href="/policy/docs/ssb/v72n3/v72n3p59.html">Shifting Income Sources of the Aged</a>." <i>Social Security Bulletin</i> 72(3): <span class="nobr">59–68.</span></p>
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<p>Bee, C. Adam. 2012. "An Evaluation of Retirement Income in the <abbr class="spell">CPS</abbr> <abbr class="spell">ASEC</abbr> Using Form <span class="nobr">1099-R</span> Microdata." Paper presented at the Joint Statistical Meetings of the American Statistical Association, San Diego, <abbr title="California">CA</abbr>, July 31.</p>
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<p>Bryant, Victoria L., Sarah Holden, and John Sabelhaus. 2011. "Qualified Retirement Plans: Analysis of Distribution and Rollover Activity." Pension Research Council Working Paper <abbr title="Number">No.</abbr> <span class="nobr">2011-01.</span> Philadelphia, <abbr title="Pennsylvania">PA</abbr>: University of Pennsylvania. http://www.pensionresearchcouncil.org/publications/document.php?file=935.</p>
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<p>Census Bureau. <abbr>n.d.</abbr> "Survey of Income and Program Participation, 2008 Panel Core File Data Dictionary (All Waves)." <a href="https://www.census.gov/programs-surveys/sipp/tech-documentation/data-dictionaries/data-dictionaries-2008.html">http://www.census.gov/sipp/dictionaries/l08puw1d.txt</a>.</p>
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<p>DeNavas-Walt, Carmen, Bernadette D. Proctor, and Jessica C. Smith. 2012. <i>Income, Poverty, and Health Insurance Coverage in the United States: 2011.</i> Census Bureau, Current Population Reports, <span class="nobr">P60-243.</span> Washington, <abbr class="spell">DC</abbr>: Government Printing Office.</p>
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<p>Federal Interagency Forum on Aging Related Statistics. 2012. <i>Older Americans 2012: Key Indicators of Well-Being.</i> Washington, <abbr class="spell">DC</abbr>: Government Printing Office. <a href="https://agingstats.gov/">http://www.agingstats.gov/agingstatsdotnet/Main_Site/Data/Data_2012.aspx</a>.</p>
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<p>Holden, Sarah, and Daniel Schrass. 2012. "The Role of <abbr class="spell">IRA</abbr>s in <abbr>U.S.</abbr> Households' Saving for Retirement, 2012." <i><abbr class="spell">ICI</abbr> Research Perspective</i> 18(8). <a href="https://www.ici.org/system/files/attachments/pdf/per18-08.pdf">http://www.ici.org/pdf/per18-08.pdf</a>.</p>
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<p>Poterba, James M., Steven F. Venti, and David A. Wise. 2011. "The Drawdown of Personal Retirement Assets." <abbr class="spell">NBER</abbr> Working Paper <abbr title="Number">No.</abbr> 16675. Cambridge, <abbr title="Massachusetts">MA</abbr>: National Bureau of Economic Research. <a href="https://www.nber.org/papers/w16675">http://www.nber.org/papers/w16675</a>.</p>
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<p>Purcell, Patrick J. 2003. "Retirement Savings Accounts: Early Withdrawals and Required Distributions." <i>Journal of Pension Planning and Compliance</i> 29(3): <span class="nobr">31–50.</span></p>
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<p>[<abbr class="spell">SSA</abbr>] Social Security Administration. 2012. <i>Income of the Population 55 or Older, 2010.</i> Washington, <abbr class="spell">DC</abbr>: <abbr class="spell">SSA</abbr>. <a href="/policy/docs/statcomps/income_pop55/index.html">http://www.socialsecurity.gov/policy/docs/statcomps/income_pop55/index.html</a>.</p>
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<p>Towers Watson. 2012. <i>Today's Plan for Tomorrow's Retirees: Are We Building <abbr class="spell">DC</abbr> Plans that Measure Up? 2012 <abbr>U.S.</abbr> Defined Contribution Sponsor Survey Report.</i> New York, <abbr title="New York">NY</abbr>: Towers Watson. http://www.towerswatson.com/en/Insights/IC-Types/Survey-Research-Results/2012/10/Todays-Plan-for-Tomorrows-Retirees-Are-We-Building-<abbr class="spell">DC</abbr>-Plans-That-Measure-Up.</p>
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