Moore School Web Site | Division of Research | Publications of the Institute of Applied Research | SC Economic Indicators | Economic Indicators 2008

Volume 43, No. 1, January 2008
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Highlights |
Summary |
Indicator Data |
Commentary |
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Highlights return to top
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The South
Carolina Leading Index dropped 1.1 percentage points. -
Residential
Construction reached the lowest value of the last ten
years. -
The state’s
unemployment rate increased to 5.9 percent.
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The Index of Leading
Indicators for South Carolina is composed of the Average Manufacturing
Workweek (hours), Initial Claims for Unemployment Insurance, and Real
Weekly Earnings

The Index of
Coincident Indicators for South Carolina is composed of Total
Nonagricultural Employment, Real Retail Sales, and Total Unemployment
Rate |
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Summary return to
top
Overall, the picture for the South Carolina economy has
not changed much in recent months. There are no signs of improvement in
the housing sector, and retail sales remain depressed. The economy is
still adding jobs, however, there are some signs that the labor market is
also coming under pressure.
In November, the South Carolina Leading Index decreased
by more than 1 percentage point. We have to go all the way back to
December 2005 to find a value that is lower than the 142 observed for the
current month. This is the fourth consecutive monthly drop in the leading
index and a clear indication that the economy is heading into a period of
even slower growth. A look at the individual components of the index
reveals the housing market as the main drag in the index. In fact, after
posting some small gains the previous month, housing starts in November
dropped to a new low of 1,548 (unadjusted figure)—the lowest monthly value
of the last ten years. This means that housing starts this month were at a
level that was below the recessionary values of 2000-2001. For South
Carolina, the cumulative values for November 2007 are 24 percent below
last year. The only consolation is that things could be worse—as figures
for other southeastern states such as Florida (-47 percent), Georgia (-27
percent), Maryland (-32 percent), and West Virginia (-28 percent) reveal.
It is not clear whether the housing market has reached the bottom. The
latest report from the S.C. Realtors Association shows that the average
days on the market of homes sold in November increased 10 percent,
suggesting that the housing market has not yet started its
recovery.
The economic indicators for the manufacturing sector
showed mixed readings in November. The average manufacturing workweek
increased by 0.4 percent to a new level of 43.7 hours. A more detailed
look at the data shows that the durable goods sector was responsible for
this increase. On the other hand, real weekly earnings in manufacturing
posted a slight decrease of 0.1 percent for the month. Initial claims for
unemployment did not show any unusual activity. Actually, the latest
number for the month of November shows a decline of 3.6 percent compared
with the previous month. Finally, the U.S. Leading Index of economic
activity, a variable that contributes to the S.C. Leading Index, dropped
by 1.2 percentage points. This deterioration of the U.S. Leading Index,
from 137.9 to 136.3, suggests that the U.S. is likely to slow down
considerably in the coming months. In sum, the large drop for the leading
index is the result of negative contributions from residential
construction, the U.S. Leading Index, and weekly earnings.
The South Carolina Coincident Index increased by 0.6
percent in November. The only positive contribution to the coincident
index came from Total Employment. In November, the Palmetto economy added
5,300 jobs, an increase of 0.3 percent with respect to last month. We
should note that the other employment series for South Carolina that is
collected by the Bureau of Labor Statistics (BLS), the Total Employment
from the Local Area Unemployment Statistics (LAUS) program, shows a
different picture for the employment situation. According to this series,
the South Carolina economy has not added any jobs since March 2007. This
discrepancy is likely to be resolved later on in 2008 when the BLS revises
the series, but it serves as a caution that the situation in the labor
market may not be as good as it looks. Real retail sales dropped 1.4
percent compared to the previous month. However, compared with last year,
retail sales increased 1 percent. This is welcome news because real retail
sales had four consecutive months of declines between June and September
of 2007. This is the first time this year that retail sales have had two
consecutive months of growth. Finally, the unemployment rate inched up 0.1
percentage point from 5.8 to 5.9 percent.
The South Carolina economy is going through a period of
slow growth. There are increased signs that the pressure exerted from the
depressed housing and financial markets is extending to the rest of the
economy. In particular, the labor market is showing a lot less vitality
than it did some months ago. |



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Indicator data . . . return to
top |
| Indices, Leading, and Coincident
Indicators seasonally adjusted data for July 2007 through September
2007. |
Indices |
Sep-07 |
Oct-07 |
Nov-07 |
| Leading Index (1992=100) |
144.1 [R] |
143.6 |
142.0 |
|
monthly percentage change |
-0.2 |
-0.3 |
-1.1 |
|
annual percentage change |
0.6 |
0.0 |
-1.3 |
| Coincident Index (1992=100) |
132.2 |
132.2 |
133.0 |
|
monthly percentage change |
0.1 |
0.0 |
0.6 |
|
annual percentage change |
1.7 |
2.0 |
2.4 |
Leading Indicators |
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| Average Manufacturing Workweek (hours) [1] |
41.3 [R] |
43.5 |
43.7 |
|
monthly percentage change |
0.4 |
1.0 |
0.4 |
|
annual percentage change |
4.3 |
5.3 |
0.4 |
| Initial Claims for
Unemployment Ins. [1] |
5,557 [R] |
5,775 |
5,565 |
|
monthly percentage change |
-5.0 |
3.9 |
-3.6 |
|
annual percentage change |
-12.2 |
-7.9 |
-6.8 |
| Real Weekly Earnings* [1] |
$326.79 [R] |
$323.07 |
$322.74 |
|
monthly percentage change |
1.0 |
-1.1 |
-0.1 |
|
annual percentage change |
6.6 |
4.0 |
2.6 |
| Residential Construction Dwelling Units [2] |
2,414 [R] |
2,178 |
1,975 |
|
monthly percentage change |
-15.8 |
-9.8 |
-9.3 |
|
annual percentage change |
-38.0 |
-45.0 |
-44.5 |
| U.S. Leading Index [3] |
137.6 [R] |
137.9 |
136.3 |
|
monthly percentage change |
0.1 |
0.2 |
-1.2 |
|
annual percentage change |
0.0 |
0.2 |
-0.9 |
Coincident Indicators |
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| Real Retail Sales (millions)* [4] |
$5,595 [R] |
$5,816 |
$5,735 |
|
monthly percentage change |
1.2 |
3.9 |
-1.4 |
|
annual percentage change |
-2.7 |
2.7 |
1.0 |
| Total Nonagricultural Employment (000s) [1] |
1,936 |
1,933 |
1,941 |
|
monthly percentage change |
-0.1 |
0.0 |
0.3 |
|
annual percentage change |
1.4 |
1.4 |
1.3 |
| Total
Unemployment Rate [1] |
5.7 |
5.8 |
5.9 |
|
monthly absolute change |
0.1 |
0.1 |
0.1 |
|
annual absolute change |
-0.8 |
-0.6 |
-0.8 |
Notes [1] Calculated from data provided by
the S.C. Employment Security Commission. [2] Calculated from data
provided by the F.W. Dodge Corporation. [3] Calculated from data
provided by The Conference Board. [4] Calculated from data provided by
the S.C. Department of Revenue. [R] Revised. [n.a.] Data not
available. Monthly percentage change based on seasonally adjusted
data. Annual percentage change based on unadjusted data. *1982-1984
dollars |
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Commentary return to top
The American Community Survey (ACS) is a project of the
U.S. Census Bureau that collects annual information about detailed
characteristics of the population and housing at the local level.
Previously, this information was only available with the publication of
the decennial census. The ACS data will provide, for the first time, a
continual stream of updated information for states and local areas. Thus,
it becomes possible to monitor social and economic trends in local
communities in years between decennial censuses. For now, we will just
look at changes in population across the state using the latest ACS
results.
In terms of population, South Carolina was one of the
states that grew above the U.S. average.
The 2000 Census identified a total population of 4,013,644; six years
later, the 2006 ACS estimate is 4,321,249—a growth of 7.7 percent, well
above the U.S. average of 6.4 percent. But, as shown in Figure 1,
population growth was quite uneven across the state. The map shows
population growth for the 27 PUMA (Public Use Microdata Areas) regions in
South Carolina.[1] As we can
see, there are two main trends. One trend is for the population to
increase around the large urban centers. The other visible trend is for
the population to move to the coastal areas. Interestingly, the PUMA with
the highest growth rate is the County of York. There, in just six years,
population increased at a rate of 22.8 percent. In this case, the
proximity to Charlotte, N.C., and the existence of Interstate 77 played a
determinant role. Other counties that also experienced a large influx of
population are those along the coastal areas, namely Horry, Colleton,
Jasper, and Beaufort. Counties in the larger metropolitan areas such as
Lexington, Richland, Dorchester, and Spartanburg, also had above-average
growth. The ACS provides us with detailed information about the
characteristics of the local population. In future commentaries we will
look at the changing structure of these populations.
Supplemental Data
[1] PUMAs
are census-defined regions with a minimum population of 100,000, and are
the lowest level of spatial aggregation for which microdata is available.
Generally, PUMAs are created as groups of contiguous
counties. |

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