On August 26, 2008, the Census Bureau released the report
"Income, Poverty and Health Insurance Coverage in the United
States: 2007," which announced that last year income inequality had
dropped, median household income had increased, and the poverty
rate had increased by a statistically insignificant amount. Real
median income increased to above $50,000 for the first time since
the 2001 recession. While this report contains good news about the
economy, the news would be even better if the Census Bureau
included in-kind benefits as a way to reveal the true state of
poverty.
The Census Bureau found that in 2007:
- Income inequality fell to its lowest level since 2002;
- Real Median Income increased for the third year in a row, and
only real median income in 1999 and 2000 exceeded the 2007 level;
and
- The poverty rate was up slightly from 12.3 percent to 12.5
percent, but this increase was statistically insignificant.
Income Inequality
The Census Bureau examines income inequality in an attempt to
define how income is distributed throughout a population. Census
uses two different measures: the Gini coefficient, which is a
single measure that defines the entire distribution of income, and
the share of overall income going to each quintile.[1]
Both measures declined in 2007, showing a decrease in
inequality. The top quintile's share of income fell 0.8 percent, to
its smallest share of income since 2002. The third quintile
increased its share of income by 0.3 percent, and the fourth
quintile increased its share by 0.4 percent. The Gini coefficient
declined from 0.47 to 0.463, a decrease of 1.5 percent.
For the first time, the Census Bureau attempted to account for
differences in family size. Households in higher quintiles usually
have more people than households in the bottom quintiles.[2] An
equivalence scale attempts to balance the fact that households with
more people need more resources than households with fewer people
and that children consume less than adults. Income inequality
shrinks further with the use of this equivalence scale, with the
share of income to the top quintile falling from 49.7 to 48.5
percent. Again, the lower quintiles increase their share of
national income when the differences in household sizes
smoothed.
Unfortunately, this report from the Census Bureau does not
include anti-poverty programs such as the Earned Income Tax Credit
(EITC), which would increase income to households in the bottom
quintiles, or the tax code, which attempts to reduce income
inequality with a progressive tax rate structure. A previous report
issued in the spring indicates that income inequality would fall
even further if the tax codes' progressivity were taken into
account. For example, the Gini coefficient falls 10 percent by
including the effects of income taxes and the EITC.[3]
The strong income gains of the middle class and a fall in income
in the top quintile is why income inequality declined. The ratio of
income at the 95th percentile to the 50th percentile fell from 3.61
to 3.52. This is because the mean income of the third quintile
increased from $49,591 to $49,968 and the income of the top
quintile fell from $172,941 to $167,971. This is a case of the
middle class getting richer while the top quintile got poorer. The
middle class also pulled away from the bottom with the 20/50 ratio
falling from 0.42 to 0.40.
Poverty
The Census Bureau roughly defines poverty as having insufficient
income to meet all basic needs. The size of a family and the age of
family members is a key determinant on the income needed to
determine whether a family is in poverty. In 2007, the poverty rate
increased from 12.3 percent to 12.5 percent, a statistically
insignificant change. The poverty rate did increase for children,
rising from 17.4 percent to 18.0 percent. The poverty rate for
married couples remains significantly below the national poverty
rate at 4.9 percent, unchanged from 2006.
The poverty rate ticked upwards slightly because more people did
not work at all in 2007 as compared to 2006, even as the
unemployment rate remained at historically low levels in 2007.
People who worked at least part time did not experience any
increase in poverty over the last year, illustrating the importance
of work. Workers had a poverty rate of only 5.7 percent, compared
to non-workers at 21.5 percent.
Single motherhood continues to be a large factor in why so many
children are in poverty. 43 percent of children in single-mother
families were in poverty, compared to only 8.5 percent of children
in married families.
This Census Bureau report, like that of income inequality, is
incomplete since in-kind benefits such as food stamps, housing
assistance, Medicaid, and the EITC are ignored. The EITC is the
largest cash anti-poverty program, but according to this Census
report, it does not reduce poverty at all. If means-tested transfer
payments and these types of benefits are included in income and
work expenses are subtracted, 3 million people would no longer be
falsely counted as poor and the poverty rate would fall to under 12
percent. The Census Bureau will release numbers showing this
poverty rate counting other types of benefits and expenses much
later, but it should be released now to accurately show real
poverty.
Not the Whole Story
The Census Bureau report on poverty and inequality continued to
buttress the facts that work and married families are the best
solution to poverty. The poverty rate increased because more
Americans did not work in 2007 as compared to 2006. Income
inequality fell due to the income gains of the middle class and a
loss of income to the top quintile. The Census Bureau did an
excellent job attempting to account for disparity in household size
in the different quintiles. Income inequality is exacerbated by the
fact that more married couples with two earners are in the top
quintiles, compared to single earners and single-parent households
in the bottom quintiles.
The Census Bureau should release the tables showing the effects
of taxes and transfer payments on poverty and inequality with this
report instead of waiting another year. This report paints an
incomplete picture of poverty in this country by excluding specific
anti-poverty programs such as the EITC.
Rea S. Hederman, Jr., is
Assistant Director of and a Senior Policy Analyst in the Center for
Data Analysis at The Heritage Foundation.
[1] A
Gini coefficient of 0 indicates a perfect distribution of income
while a coefficient of 1 indicates that one person or household has
all the income.