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Unemployment tracks the business cycle. Recessions cause high unemployment. Businesses lay off workers and jobless workers have less to spend as a result. Lower consumer spending reduces business revenue, which forces companies to cut more payroll. This downward cycle is devastating.
The highest rate of U.S. unemployment was 24.9% in 1933, during the Great Depression. Unemployment remained above 14% from 1931 to 1940. It remained in the single digits until September 1982 when it reached 10.1%. During the Great Recession, unemployment reached 10% in October 2009.
The government steps in when unemployment exceeds 6%. The Federal Reserve uses expansionary monetary policy to lower interest rates. Congress uses fiscal policy to create jobs and provide extended unemployment benefits.
The unemployment rate falls during the expansion phase of the business cycle. The lowest unemployment rate was 1.2% in 1944.
It may seem counterintuitive to think unemployment can get too low, but it can.
The Federal Reserve says that the natural rate of unemployment falls between 3.5% and 4.5%. If the rate falls any lower than that, the economy could experience too much inflation, and companies could struggle to find good workers that allow them to expand operations.
The unemployment rate is a lagging indicator. When an economy begins to improve after a recession, for example, the unemployment rate may continue to worsen for some time. Many companies hesitate to hire workers until they regain confidence in the recovery, and it may take several quarters of economic improvement before they feel confident that the recovery is real.
If you’re looking for work after a recession, you’ll find the going is still tough. It might take several months before the unemployment rate falls.
Highest voting percentages in HOF history
There is perhaps no greater honor for a big leaguer than being inducted into the National Baseball Hall of Fame -- especially in the first year on the ballot.
Even more remarkable than being a first-ballot Hall of Famer is a player receiving every single possible vote in his first year on the ballot, something that had never been done until 2019, when Mariano Rivera earned a unanimous induction. Many thought Rivera's former teammate Derek Jeter would follow the same path this year, but Rivera remains the only unanimous selection in the Hall after one voter left Jeter off the ballot.
With that in mind, here are the 10 highest voting percentages of all-time, starting with Rivera's unanimous selection:
1. Mariano Rivera, 2019
Vote total: 100% (425/425)
Rivera was the model of consistency throughout his dominant career in the Yankees' bullpen. The right-hander had a sub-3.00 ERA in 17 of his 19 big league seasons -- and a sub-2.00 ERA in 11 of those campaigns -- on his way to racking up an MLB-record 652 career saves. Rivera was a 13-time All-Star and even earned a share of MVP votes nine times, but he took his game to another level in the postseason. The shutdown closer had a 0.70 ERA over 141 postseason innings, helping lead the Yanks to five World Series titles.
2. Derek Jeter, 2020
Vote total: 99.7% (396/397)
Jeter came one vote shy of joining his fellow Yankees icon as a unanimous selection. The legendary shortstop racked up plenty of hardware throughout his 20-year career, spent entirely in the Bronx. A 14-time All-Star, Jeter earned 1996 American League Rookie of the Year honors and went on to win five Gold Glove Awards and five Silver Sluggers. More important, Jeter helped the Yankees win five World Series titles, and he was named MVP of the 2000 World Series in which the Yankees defeated the crosstown rival Mets. Jeter finished his career with 3,465 career hits (sixth all-time) and another 200 postseason hits (most in MLB history).
3. Ken Griffey Jr., 2016
Vote total: 99.3% (437/440)
Griffey came within three votes of being the first unanimous Hall of Famer following his incredible career. The smooth-swinging all-around talent was a 13-time All-Star, 10-time Gold Glove winner and seven-time Silver Slugger over his illustrious 22-year career. Griffey had seven 40-homer seasons and a pair of 50-homer campaigns, including 56 in his lone MVP season in 1997.
4. Tom Seaver, 1992
Vote total: 98.8% (425/430)
Seaver had no shortage of accolades during his 20-year career before coming within five votes of being a unanimous Hall of Famer in his first year on the ballot. The right-hander won the 1967 NL Rookie of the Year Award and took home the first of his three Cy Young Awards just two years later while helping lead the Mets to the ཱྀ World Series title. Seaver took home three ERA titles and was a five-time strikeout champ. He remains the Mets' franchise leader in nearly every pitching category, including ERA (2.57), wins (198), strikeouts (2,541), complete games (171) and shutouts (44).
Blood Types Around the World
Blood types vary depending on the geographical region: Scandinavians have a high probability of carrying the A blood type, while those indigenous to central Asia are more likely to carry the B blood type. The O blood type is the most common blood type around the world.
According to the National Center for Biotechnology Information (a molecular biology resource funded by the government), the breakdown of blood type by region is:
Blood Type A: Central and Eastern Europe
The A blood group is common in central Europe. Nearly half the population in Denmark, Norway, Austria, and the Ukraine have this blood type. This blood type is also found in high levels among small, unrelated groups of people. In Montana, 80% of the Blackfoot tribe has the A blood group.
Blood Type B: Asia
The B blood type is rare in Europe (about 10% of the population), but fairly common in Asia. Nearly 25% of the Chinese population demonstrates this blood type. This blood type is also fairly common in India and other Central Asian countries.
Blood Type AB: Asia
The AB blood type is the rarest of all. It is found in up to 10% of the population in Japan, Korea, and China, but is extremely rare in other regions.
Blood Type O: The Americas
The O blood type is the most common around the globe, and is carried by nearly 100% of those living in South America. It is the most common blood type among Australian Aborigines, Celts, those living in Western Europe, and in the United States.
The majority of people in any geographical region are Rh positive. Caucasians are the most likely to be Rh negative, with approximately 17% of blood donors demonstrating a lack of this protein. Native Americans are the next highest proportion of the population to test as Rh negative: approximately 10% of donors from this population lack this protein.
The Surveillance, Epidemiology, and End Results (SEER) Program
NCI’s Surveillance, Epidemiology, and End Results (SEER) Program collects and publishes cancer incidence and survival data from population-based cancer registries that cover approximately 35% of the US population. The SEER program website has more detailed cancer statistics, including population statistics for common types of cancer, customizable graphs and tables, and interactive tools.
The Annual Report to the Nation on the Status of Cancer provides an annual update of cancer incidence, mortality, and trends in the United States. This report is jointly authored by experts from NCI, the Centers for Disease Control and Prevention, American Cancer Society, and the North American Association of Central Cancer Registries.
U.S. Inflation Rate History and Forecast
The best way to compare inflation rates is to use the end-of-year CPI. This creates an image of a specific point in time.
The table below compares the inflation rate (December end-of-year) with the fed funds rate, the phase of the business cycle, and the significant events influencing inflation. A more detailed forecast is in the U.S. Economic Outlook.
|Year||Inflation Rate YOY||Fed Funds Rate*||Business Cycle (GDP Growth)||Events Affecting Inflation|
|1929||0.6%||NA||August peak||Market crash|
|1931||-9.3%||NA||Contraction (-6.4%)||Dust Bowl|
|1932||-10.3%||NA||Contraction (-12.9%)||Hoover tax hikes|
|1933||0.8%||NA||Contraction ended in March (-1.2%)||FDR's New Deal|
|1934||1.5%||NA||Expansion (10.8%)||U.S. debt rose|
|1935||3.0%||NA||Expansion (8.9%)||Social Security|
|1936||1.4%||NA||Expansion (12.9%)||FDR tax hikes|
|1937||2.9%||NA||Expansion peaked in May (5.1%)||Depression resumes|
|1938||-2.8%||NA||Contraction ended in June (-3.3%)||Depression ended|
|1939||0.0%||NA||Expansion (8.0%||Dust Bowl ended|
|1940||0.7%||NA||Expansion (8.8%)||Defense increased|
|1941||9.9%||NA||Expansion (17.7%)||Pearl Harbor|
|1942||9.0%||NA||Expansion (18.9%)||Defense spending|
|1943||3.0%||NA||Expansion (17.0%)||Defense spending|
|1944||2.3%||NA||Expansion (8.0%)||Bretton Woods|
|1945||2.2%||NA||Feb. peak, Oct. trough (-1.0%)||Truman ended WWII|
|1946||18.1%||NA||Expansion (-11.6%)||Budget cuts|
|1947||8.8%||NA||Expansion (-1.1%)||Cold War spending|
|1948||3.0%||NA||Nov. peak (4.1%)|
|1949||-2.1%||NA||Oct trough (-0.6%)||Fair Deal, NATO|
|1950||5.9%||NA||Expansion (8.7%)||Korean War|
|1953||0.7%||NA||July peak (4.7%)||Eisenhower ended Korean War|
|1954||-0.7%||1.25%||May trough (-0.6%)||Dow returned to 1929 high|
|1957||2.9%||3.00%||Aug. peak (2.1%)||Recession|
|1958||1.8%||2.50%||April trough (-0.7%)||Recession ended|
|1959||1.7%||4.00%||Expansion (6.9%)||Fed raised rates|
|1960||1.4%||2.00%||April peak (2.6%)||Recession|
|1961||0.7%||2.25%||Feb. trough (2.6%)||JFK's deficit spending ended recession|
|1964||1.0%||3.75%||Expansion (5.8%)||LBJ Medicare, Medicaid|
|1966||3.5%||5.50%||Expansion (6.6%)||Vietnam War|
|1968||4.7%||6.00%||Expansion (4.9%)||Moon landing|
|1969||6.2%||9.00%||Dec. peak (3.1%)||Nixon took office|
|1970||5.6%||5.00%||Nov. trough (0.2%)||Recession|
|1971||3.3%||5.00%||Expansion (3.3%)||Wage-price controls|
|1973||8.7%||9.00%||Nov. peak (5.6%)||End of gold standard|
|1975||6.9%||4.75%||March trough (-0.2%)||Stop-gap monetary policy confused businesses and kept prices high|
|1980||12.5%||18.00%||Jan. peak (-0.3%)||Recession|
|1981||8.9%||12.00%||July trough (2.5%)||Reagan tax cut|
|1982||3.8%||8.50%||November (-1.8%)||Recession ended|
|1983||3.8%||9.25%||Expansion (4.6%)||Military spending|
|1986||1.1%||6.00%||Expansion (3.5%)||Tax cut|
|1987||4.4%||6.75%||Expansion (3.5%)||Black Monday crash|
|1988||4.4%||9.75%||Expansion (4.2%)||Fed raised rates|
|1989||4.6%||8.25%||Expansion (3.7%)||S&L Crisis|
|1990||6.1%||7.00%||July peak (1.9%)||Recession|
|1991||3.1%||4.00%||Mar trough (-0.1%)||Fed lowered rates|
|1992||2.9%||3.00%||Expansion (3.5%)||NAFTA drafted|
|1993||2.7%||3.00%||Expansion (2.8%)||Balanced Budget Act|
|1996||3.3%||5.25%||Expansion (3.8%)||Welfare reform|
|1997||1.7%||5.50%||Expansion (4.4%)||Fed raised rates|
|1998||1.6%||4.75%||Expansion (4.5%)||LTCM crisis|
|1999||2.7%||5.50%||Expansion (4.8%)||Glass-Steagall repealed|
|2000||3.4%||6.50%||Expansion (4.1%)||Tech bubble burst|
|2001||1.6%||1.75%||March peak, Nov. trough (1.0%)||Bush tax cut, 9/11 attacks|
|2002||2.4%||1.25%||Expansion (1.7%)||War on Terror|
|2005||3.4%||4.25%||Expansion (3.5%)||Katrina, Bankruptcy Act|
|2006||2.5%||5.25%||Expansion (2.9%)||Bernanke became Fed Chair|
|2007||4.1%||4.25%||Dec peak (1.9%)||Bank crisis|
|2008||0.1%||0.25%||Contraction (-0.1%)||Financial crisis|
|2009||2.7%||0.25%||June trough (-2.5%)||ARRA|
|2010||1.5%||0.25%||Expansion (2.6%)||ACA, Dodd-Frank Act|
|2011||3.0%||0.25%||Expansion (1.6%)||Debt ceiling crisis|
|2013||1.5%||0.25%||Expansion (1.8%)||Government shutdown. Sequestration|
|2014||0.8%||0.25%||Expansion (2.5%)||QE ends|
|2015||0.7%||0.50%||Expansion (3.1%)||Deflation in oil and gas prices|
|2017||2.1%||1.50%||Expansion (2.3%)||Core inflation rate 1.7%|
|2018||1.9%||2.50%||Expansion (3.0%)||Core rate 2.2%|
|2019||2.3%||1.75%||Expansion (2.2%)||Core rate 2.3%|
|2020||1.2%||0.25%||Contraction (-2.4%)||Forecast: Core rate 1.4% |
Impact of COVID
|2021||1.8%||0.25%||Expansion (4.2%)||Forecast: Core rate is 1.8%|
|Forecast: Core rate is 1.9%|
|2023||2.0%||0.25%||Expansion (2.4%)||Forecast: Core rate is 2.0%|
Who owns cellphones and smartphones
A substantial majority of Americans are cellphone owners across a wide range of demographic groups. By contrast, smartphone ownership exhibits greater variation based on age, household income and educational attainment.
% of U.S. adults who say they own a …
|Cellphone||Smartphone||Cellphone, but not smartphone|
|High school or less||96%||75%||19%|
|Less than $30,000||97%||76%||19%|
Note: Respondents who did not give an answer are not shown. White and Black adults include those who report being only one race and are not Hispanic. Hispanics are of any race.
Source: Survey of U.S. adults conducted Jan. 25-Feb. 8, 2021.
Underage Drinking in the United States
Prevalence of Underage Alcohol Use
Prevalence of Drinking:According to the 2019 NSDUH, 39.7 percent of 12- to 20-year-olds reported that they have had at least 1 drink in their lives. 25 About 7.0 million people ages 12 to 20 24 (18.5 percent of this age group 25 ) reported drinking alcohol in the past month (17.2 percent of males and 19.9 percent of females 25 ).
Prevalence of Binge Drinking: According to the 2019 NSDUH, approximately 4.2 million people ages 12 to 20 24 reported binge drinking in the past month. This represents 11.1 percent of people in this age group (10.4 percent of males ages 12 to 20 and 11.8 percent of females ages 12 to 20 25 ).
Prevalence of Heavy Alcohol Use:According to the 2019 NSDUH, approximately 825,000 people ages 12 to 20 24 reported heavy alcohol use in the past month. This represents 2.2 percent of this age group 25 (2.1 percent of males ages 12 to 20 and 2.3 percent of females ages 12 to 20 25 ).
Trend in Underage Alcohol Use
NSDUH findings have demonstrated a decline in underage drinking. From 2002 to 2019, the prevalence of past-30-day alcohol use decreased 41.1 percent for 16- to 17-year-olds, 54.7 percent for 14- to 15-year-olds, and 61.9 percent for 12- to 13-year-olds. 26
Consequences of Underage Alcohol Use
Research indicates that alcohol use during the teenage years can interfere with normal adolescent brain development and increase the risk of developing AUD. In addition, underage drinking contributes to a range of acute consequences, such as injuries, sexual assaults, alcohol overdoses, and deaths—including those from motor vehicle crashes. 27
Alcohol is a factor in the deaths of thousands of people younger than age 21 in the United States each year. This includes:
1,092 from motor vehicle crashes 28
208 from alcohol overdose, falls, burns, and drowning 29
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Full-year historical Major League statistics provided by Pete Palmer and Gary Gillette of Hidden Game Sports.
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Career Fielding Percentage: .982
League Average 1B: .990
Career dWAR: -6.1
Career Rtot: -59
No list regarding defense in baseball, especially bad defense, would be complete without the name of Dick Stuart, aka Dr. Strangeglove.
Stuart did rack up 228 home runs during his career, leading the American League in RBI for the 1963 season, but the man who would also be called “Stonefingers” and “The Man with the Iron Glove" made his mark as the poorest defensive fielding first baseman in major league history.
Doug Mead is a Featured Columnist with Bleacher Report. His work has been featured on the Seattle Post-Intelligencer, SF Gate, CBS Sports, the Los Angeles Times and the Houston Chronicle. Follow Doug on Twitter, @Sports_A_Holic.