All Employees Temporary Help Services
Measurement Thousands of Persons | Indicator Type or Source Bureau of Labor Statistics Indicator | Period End Date February 1, 2024 | Clasification Bureau of Labor Statistics |
30-Year History of All Employees Temporary Help Services
The above interactive chart and the table below show the 30-year history of all employees temporary help services going back to Monday, March 28, 1994. The current value is 2,748 which was updated on Thursday, February 1, 2024. Historical data is often used in econometric models to forecast future economic conditions. These forecasts can influence a wide range of decisions, from monetary policy at central banks to investment strategies at businesses and financial institutions.Feb 1, 2024 | 2,748 |
Jan 1, 2024 | 2,763 |
Dec 1, 2023 | 2,764 |
Nov 1, 2023 | 2,786 |
Oct 1, 2023 | 2,799 |
Sep 1, 2023 | 2,822 |
Aug 1, 2023 | 2,844 |
Jul 1, 2023 | 2,862 |
Jun 1, 2023 | 2,890 |
May 1, 2023 | 2,918 |
Apr 1, 2023 | 2,922 |
Mar 1, 2023 | 2,940 |
Feb 1, 2023 | 2,955 |
Jan 1, 2023 | 2,980 |
Dec 1, 2022 | 2,982 |
Nov 1, 2022 | 3,025 |
Oct 1, 2022 | 3,057 |
Sep 1, 2022 | 3,070 |
Aug 1, 2022 | 3,072 |
Jul 1, 2022 | 3,089 |
Jun 1, 2022 | 3,101 |
May 1, 2022 | 3,109 |
Apr 1, 2022 | 3,134 |
Mar 1, 2022 | 3,181 |
Feb 1, 2022 | 3,136 |
Jan 1, 2022 | 3,104 |
Dec 1, 2021 | 3,088 |
Nov 1, 2021 | 3,048 |
Oct 1, 2021 | 3,020 |
Sep 1, 2021 | 2,891 |
Aug 1, 2021 | 2,884 |
Jul 1, 2021 | 2,880 |
Jun 1, 2021 | 2,850 |
May 1, 2021 | 2,798 |
Apr 1, 2021 | 2,812 |
Mar 1, 2021 | 2,885 |
Feb 1, 2021 | 2,822 |
Jan 1, 2021 | 2,800 |
Dec 1, 2020 | 2,736 |
Nov 1, 2020 | 2,681 |
Oct 1, 2020 | 2,609 |
Sep 1, 2020 | 2,518 |
Aug 1, 2020 | 2,465 |
Jul 1, 2020 | 2,354 |
Jun 1, 2020 | 2,221 |
May 1, 2020 | 2,034 |
Apr 1, 2020 | 1,969 |
Mar 1, 2020 | 2,863 |
Feb 1, 2020 | 2,870 |
Jan 1, 2020 | 2,905 |
Dec 1, 2019 | 2,937 |
Nov 1, 2019 | 2,951 |
Oct 1, 2019 | 2,963 |
Sep 1, 2019 | 2,982 |
Aug 1, 2019 | 2,974 |
Jul 1, 2019 | 2,962 |
Jun 1, 2019 | 2,965 |
May 1, 2019 | 2,960 |
Apr 1, 2019 | 2,954 |
Mar 1, 2019 | 2,936 |
Feb 1, 2019 | 2,940 |
Jan 1, 2019 | 2,953 |
Dec 1, 2018 | 2,979 |
Nov 1, 2018 | 2,994 |
Oct 1, 2018 | 3,001 |
Sep 1, 2018 | 3,000 |
Aug 1, 2018 | 2,999 |
Jul 1, 2018 | 2,996 |
Jun 1, 2018 | 2,996 |
May 1, 2018 | 2,995 |
Apr 1, 2018 | 2,994 |
Mar 1, 2018 | 2,987 |
Feb 1, 2018 | 2,983 |
Jan 1, 2018 | 2,972 |
Dec 1, 2017 | 2,968 |
Nov 1, 2017 | 2,965 |
Oct 1, 2017 | 2,962 |
Sep 1, 2017 | 2,946 |
Aug 1, 2017 | 2,955 |
Jul 1, 2017 | 2,955 |
Jun 1, 2017 | 2,946 |
May 1, 2017 | 2,934 |
Apr 1, 2017 | 2,908 |
Mar 1, 2017 | 2,911 |
Feb 1, 2017 | 2,904 |
Jan 1, 2017 | 2,909 |
Dec 1, 2016 | 2,907 |
Nov 1, 2016 | 2,903 |
Oct 1, 2016 | 2,895 |
Sep 1, 2016 | 2,901 |
Aug 1, 2016 | 2,879 |
Jul 1, 2016 | 2,882 |
Jun 1, 2016 | 2,878 |
May 1, 2016 | 2,862 |
Apr 1, 2016 | 2,879 |
Mar 1, 2016 | 2,886 |
Feb 1, 2016 | 2,886 |
Jan 1, 2016 | 2,889 |
Dec 1, 2015 | 2,932 |
Nov 1, 2015 | 2,894 |
Oct 1, 2015 | 2,895 |
Sep 1, 2015 | 2,883 |
Aug 1, 2015 | 2,887 |
Jul 1, 2015 | 2,885 |
Jun 1, 2015 | 2,885 |
May 1, 2015 | 2,872 |
Apr 1, 2015 | 2,850 |
Mar 1, 2015 | 2,842 |
Feb 1, 2015 | 2,839 |
Jan 1, 2015 | 2,838 |
Dec 1, 2014 | 2,833 |
Nov 1, 2014 | 2,816 |
Oct 1, 2014 | 2,809 |
Sep 1, 2014 | 2,808 |
Aug 1, 2014 | 2,787 |
Jul 1, 2014 | 2,768 |
Jun 1, 2014 | 2,751 |
May 1, 2014 | 2,737 |
Apr 1, 2014 | 2,727 |
Mar 1, 2014 | 2,715 |
Feb 1, 2014 | 2,703 |
Jan 1, 2014 | 2,676 |
Dec 1, 2013 | 2,685 |
Nov 1, 2013 | 2,660 |
Oct 1, 2013 | 2,641 |
Sep 1, 2013 | 2,639 |
Aug 1, 2013 | 2,634 |
Jul 1, 2013 | 2,624 |
Jun 1, 2013 | 2,623 |
May 1, 2013 | 2,610 |
Apr 1, 2013 | 2,601 |
Mar 1, 2013 | 2,588 |
Feb 1, 2013 | 2,568 |
Jan 1, 2013 | 2,552 |
Dec 1, 2012 | 2,539 |
Nov 1, 2012 | 2,536 |
Oct 1, 2012 | 2,516 |
Sep 1, 2012 | 2,490 |
Aug 1, 2012 | 2,520 |
Jul 1, 2012 | 2,516 |
Jun 1, 2012 | 2,506 |
May 1, 2012 | 2,482 |
Apr 1, 2012 | 2,472 |
Mar 1, 2012 | 2,466 |
Feb 1, 2012 | 2,471 |
Jan 1, 2012 | 2,429 |
Dec 1, 2011 | 2,404 |
Nov 1, 2011 | 2,376 |
Oct 1, 2011 | 2,363 |
Sep 1, 2011 | 2,345 |
Aug 1, 2011 | 2,314 |
Jul 1, 2011 | 2,273 |
Jun 1, 2011 | 2,282 |
May 1, 2011 | 2,294 |
Apr 1, 2011 | 2,292 |
Mar 1, 2011 | 2,297 |
Feb 1, 2011 | 2,266 |
Jan 1, 2011 | 2,232 |
Dec 1, 2010 | 2,259 |
Nov 1, 2010 | 2,206 |
Oct 1, 2010 | 2,180 |
Sep 1, 2010 | 2,147 |
Aug 1, 2010 | 2,118 |
Jul 1, 2010 | 2,097 |
Jun 1, 2010 | 2,094 |
May 1, 2010 | 2,066 |
Apr 1, 2010 | 2,022 |
Mar 1, 2010 | 1,993 |
Feb 1, 2010 | 1,966 |
Jan 1, 2010 | 1,955 |
Dec 1, 2009 | 1,906 |
Nov 1, 2009 | 1,868 |
Oct 1, 2009 | 1,811 |
Sep 1, 2009 | 1,778 |
Aug 1, 2009 | 1,759 |
Jul 1, 2009 | 1,762 |
Jun 1, 2009 | 1,754 |
May 1, 2009 | 1,774 |
Apr 1, 2009 | 1,778 |
Mar 1, 2009 | 1,836 |
Feb 1, 2009 | 1,898 |
Jan 1, 2009 | 1,967 |
Dec 1, 2008 | 2,050 |
Nov 1, 2008 | 2,127 |
Oct 1, 2008 | 2,231 |
Sep 1, 2008 | 2,306 |
Aug 1, 2008 | 2,339 |
Jul 1, 2008 | 2,370 |
Jun 1, 2008 | 2,403 |
May 1, 2008 | 2,428 |
Apr 1, 2008 | 2,463 |
Mar 1, 2008 | 2,486 |
Feb 1, 2008 | 2,506 |
Jan 1, 2008 | 2,549 |
Dec 1, 2007 | 2,542 |
Nov 1, 2007 | 2,554 |
Oct 1, 2007 | 2,568 |
Sep 1, 2007 | 2,557 |
Aug 1, 2007 | 2,587 |
Jul 1, 2007 | 2,593 |
Jun 1, 2007 | 2,604 |
May 1, 2007 | 2,611 |
Apr 1, 2007 | 2,630 |
Mar 1, 2007 | 2,647 |
Feb 1, 2007 | 2,643 |
Jan 1, 2007 | 2,653 |
Dec 1, 2006 | 2,638 |
Nov 1, 2006 | 2,627 |
Oct 1, 2006 | 2,630 |
Sep 1, 2006 | 2,643 |
Aug 1, 2006 | 2,651 |
Jul 1, 2006 | 2,642 |
Jun 1, 2006 | 2,649 |
May 1, 2006 | 2,654 |
Apr 1, 2006 | 2,636 |
Mar 1, 2006 | 2,640 |
Feb 1, 2006 | 2,632 |
Jan 1, 2006 | 2,624 |
Dec 1, 2005 | 2,634 |
Nov 1, 2005 | 2,631 |
Oct 1, 2005 | 2,605 |
Sep 1, 2005 | 2,600 |
Aug 1, 2005 | 2,558 |
Jul 1, 2005 | 2,539 |
Jun 1, 2005 | 2,529 |
May 1, 2005 | 2,506 |
Apr 1, 2005 | 2,508 |
Mar 1, 2005 | 2,492 |
Feb 1, 2005 | 2,492 |
Jan 1, 2005 | 2,459 |
Dec 1, 2004 | 2,430 |
Nov 1, 2004 | 2,459 |
Oct 1, 2004 | 2,477 |
Sep 1, 2004 | 2,419 |
Aug 1, 2004 | 2,403 |
Jul 1, 2004 | 2,397 |
Jun 1, 2004 | 2,384 |
May 1, 2004 | 2,381 |
Apr 1, 2004 | 2,353 |
Mar 1, 2004 | 2,314 |
Feb 1, 2004 | 2,310 |
Jan 1, 2004 | 2,298 |
Dec 1, 2003 | 2,295 |
Nov 1, 2003 | 2,276 |
Oct 1, 2003 | 2,262 |
Sep 1, 2003 | 2,261 |
Aug 1, 2003 | 2,246 |
Jul 1, 2003 | 2,247 |
Jun 1, 2003 | 2,222 |
May 1, 2003 | 2,190 |
Apr 1, 2003 | 2,143 |
Mar 1, 2003 | 2,167 |
Feb 1, 2003 | 2,181 |
Jan 1, 2003 | 2,197 |
Dec 1, 2002 | 2,159 |
Nov 1, 2002 | 2,176 |
Oct 1, 2002 | 2,203 |
Sep 1, 2002 | 2,208 |
Aug 1, 2002 | 2,231 |
Jul 1, 2002 | 2,188 |
Jun 1, 2002 | 2,230 |
May 1, 2002 | 2,226 |
Apr 1, 2002 | 2,217 |
Mar 1, 2002 | 2,190 |
Feb 1, 2002 | 2,157 |
Jan 1, 2002 | 2,147 |
Dec 1, 2001 | 2,138 |
Nov 1, 2001 | 2,158 |
Oct 1, 2001 | 2,219 |
Sep 1, 2001 | 2,259 |
Aug 1, 2001 | 2,295 |
Jul 1, 2001 | 2,314 |
Jun 1, 2001 | 2,343 |
May 1, 2001 | 2,380 |
Apr 1, 2001 | 2,402 |
Mar 1, 2001 | 2,485 |
Feb 1, 2001 | 2,534 |
Jan 1, 2001 | 2,566 |
Dec 1, 2000 | 2,587 |
Nov 1, 2000 | 2,634 |
Oct 1, 2000 | 2,630 |
Sep 1, 2000 | 2,640 |
Aug 1, 2000 | 2,636 |
Jul 1, 2000 | 2,644 |
Jun 1, 2000 | 2,649 |
May 1, 2000 | 2,649 |
Apr 1, 2000 | 2,682 |
Mar 1, 2000 | 2,645 |
Feb 1, 2000 | 2,623 |
Jan 1, 2000 | 2,620 |
Dec 1, 1999 | 2,604 |
Nov 1, 1999 | 2,573 |
Oct 1, 1999 | 2,550 |
Sep 1, 1999 | 2,476 |
Aug 1, 1999 | 2,483 |
Jul 1, 1999 | 2,475 |
Jun 1, 1999 | 2,454 |
May 1, 1999 | 2,435 |
Apr 1, 1999 | 2,417 |
Mar 1, 1999 | 2,404 |
Feb 1, 1999 | 2,387 |
Jan 1, 1999 | 2,355 |
Dec 1, 1998 | 2,333 |
Nov 1, 1998 | 2,307 |
Oct 1, 1998 | 2,285 |
Sep 1, 1998 | 2,242 |
Aug 1, 1998 | 2,266 |
Jul 1, 1998 | 2,246 |
Jun 1, 1998 | 2,252 |
May 1, 1998 | 2,221 |
Apr 1, 1998 | 2,202 |
Mar 1, 1998 | 2,194 |
Feb 1, 1998 | 2,190 |
Jan 1, 1998 | 2,175 |
Dec 1, 1997 | 2,164 |
Nov 1, 1997 | 2,140 |
Oct 1, 1997 | 2,110 |
Sep 1, 1997 | 2,083 |
Aug 1, 1997 | 2,066 |
Jul 1, 1997 | 2,088 |
Jun 1, 1997 | 2,060 |
May 1, 1997 | 2,049 |
Apr 1, 1997 | 2,028 |
Mar 1, 1997 | 2,005 |
Feb 1, 1997 | 1,973 |
Jan 1, 1997 | 1,947 |
Dec 1, 1996 | 1,926 |
Nov 1, 1996 | 1,909 |
Oct 1, 1996 | 1,876 |
Sep 1, 1996 | 1,891 |
Aug 1, 1996 | 1,884 |
Jul 1, 1996 | 1,870 |
Jun 1, 1996 | 1,852 |
May 1, 1996 | 1,832 |
Apr 1, 1996 | 1,813 |
Mar 1, 1996 | 1,795 |
Feb 1, 1996 | 1,793 |
Jan 1, 1996 | 1,750 |
Dec 1, 1995 | 1,777 |
Nov 1, 1995 | 1,772 |
Oct 1, 1995 | 1,771 |
Sep 1, 1995 | 1,771 |
Aug 1, 1995 | 1,739 |
Jul 1, 1995 | 1,720 |
Jun 1, 1995 | 1,716 |
May 1, 1995 | 1,718 |
Apr 1, 1995 | 1,730 |
Mar 1, 1995 | 1,737 |
Feb 1, 1995 | 1,747 |
Jan 1, 1995 | 1,739 |
Dec 1, 1994 | 1,722 |
Nov 1, 1994 | 1,717 |
Oct 1, 1994 | 1,694 |
Sep 1, 1994 | 1,681 |
Aug 1, 1994 | 1,664 |
Jul 1, 1994 | 1,657 |
Jun 1, 1994 | 1,628 |
May 1, 1994 | 1,600 |
Apr 1, 1994 | 1,594 |
Mar 1, 1994 | 1,567 |
Feb 1, 1994 | 1,526 |
Jan 1, 1994 | 1,504 |
Dec 1, 1993 | 1,485 |
Nov 1, 1993 | 1,468 |
Oct 1, 1993 | 1,462 |
Sep 1, 1993 | 1,424 |
Aug 1, 1993 | 1,412 |
Jul 1, 1993 | 1,398 |
Jun 1, 1993 | 1,380 |
May 1, 1993 | 1,363 |
Apr 1, 1993 | 1,341 |
Mar 1, 1993 | 1,319 |
Feb 1, 1993 | 1,304 |
Jan 1, 1993 | 1,294 |
Dec 1, 1992 | 1,283 |
Nov 1, 1992 | 1,265 |
Oct 1, 1992 | 1,252 |
Sep 1, 1992 | 1,231 |
Aug 1, 1992 | 1,223 |
Jul 1, 1992 | 1,212 |
Jun 1, 1992 | 1,208 |
May 1, 1992 | 1,198 |
Apr 1, 1992 | 1,183 |
Mar 1, 1992 | 1,170 |
Feb 1, 1992 | 1,157 |
Jan 1, 1992 | 1,149 |
Dec 1, 1991 | 1,139 |
Nov 1, 1991 | 1,133 |
Oct 1, 1991 | 1,132 |
Sep 1, 1991 | 1,130 |
Aug 1, 1991 | 1,121 |
Jul 1, 1991 | 1,112 |
Jun 1, 1991 | 1,114 |
May 1, 1991 | 1,112 |
Apr 1, 1991 | 1,113 |
Mar 1, 1991 | 1,116 |
Feb 1, 1991 | 1,127 |
Jan 1, 1991 | 1,145 |
Dec 1, 1990 | 1,126 |
Nov 1, 1990 | 1,135 |
Oct 1, 1990 | 1,140 |
Sep 1, 1990 | 1,164 |
Aug 1, 1990 | 1,159 |
Jul 1, 1990 | 1,167 |
Jun 1, 1990 | 1,163 |
May 1, 1990 | 1,161 |
Apr 1, 1990 | 1,164 |
Mar 1, 1990 | 1,170 |
Feb 1, 1990 | 1,165 |
Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stocks Directory module to find actively traded stocks across global markets.
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