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 Series Title: Unemployment Level: 20-24 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 8849·
 1976 07 843·
 1976 08 3043.
 1976 09 4940.
 1976 10 8659.
 1976 11 6448.
 1976 12 749.
 1977 01  7046.
 1977 02  8954.
 1977 03  5540.
 1977 04  2230·
 1977 05  2735.
 1977 06  4548.
 1977 07  6453·
 1977 08  8945.
 1977 09  6542·
 1977 10  3136.
 1977 11  9832.
 1977 12  4524·
 1978 01 5239·
 1978 02 4746.
 1978 03 8755.
 1978 04 5345·
 1978 05 8237.
 1978 06 1943.
 1978 07 8860.
 1978 08 056.
 1978 09 7647.
 1978 10 9643.
 1978 11 8438.
 1978 12 146.
 1979 01  7647·
 1979 02  5547.
 1979 03  8144.
 1979 04  9341.
 1979 05  5246·
 1979 06  9559.
 1979 07  1044.
 1979 08  3858·
 1979 09  9837·
 1979 10  4245.
 1979 11  2843.
 1979 12  2470·
 1980 01 3446.
 1980 02 4657·
 1980 03 1760·
 1980 04 6548.
 1980 05 348.
 1980 06 8448·
 1980 07 8472·
 1980 08 9939.
 1980 09 7459·
 1980 10 5442·
 1980 11 5955·
 1980 12 8758.
 1981 01  4255·
 1981 02  8351·
 1981 03  057·
 1981 04  1942·
 1981 05  2769·
 1981 06  2152·
 1981 07  8893·
 1981 08  788.
 1981 09  7157·
 1981 10  4372.
 1981 11  3075.
 1981 12  8874.
 1982 01 4485.
 1982 02 4973.
 1982 03 5887·
 1982 04 2775·
 1982 05 4080·
 1982 06 6680·
 1982 07 2883·
 1982 08 1073.
 1982 09 7996·
 1982 10 4480·
 1982 11 2287·
 1982 12 5093·
 1983 01  587.
 1983 02  57115.
 1983 03  46107.
 1983 04  86107·
 1983 05  8668·
 1983 06  678·
 1983 07  3357·
 1983 08  8066.
 1983 09  1775·
 1983 10  1772.
 1983 11  3878.
 1983 12  2149·
 1984 01 1784·
 1984 02 4156·
 1984 03 4477·
 1984 04 2161·
 1984 05 3062.
 1984 06 5152.
 1984 07 5755·
 1984 08 1751·
 1984 09 2656·
 1984 10 5074·
 1984 11 857·
 1984 12 7450.
 1985 01  9743·
 1985 02  6164.
 1985 03  5574·
 1985 04  7861·
 1985 05  6576.
 1985 06  3663.
 1985 07  7952·
 1985 08  4365·
 1985 09  7278.
 1985 10  5165·
 1985 11  8657·
 1985 12  760.
 1986 01 8783.
 1986 02 491·
 1986 03 945·
 1986 04 3258·
 1986 05 676·
 1986 06 2386.
 1986 07 476.
 1986 08 669·
 1986 09 4755.
 1986 10 5663·
 1986 11 5253.
 1986 12 4361·
 1987 01  5490.
 1987 02  8072.
 1987 03  6050·
 1987 04  7963.
 1987 05  9762·
 1987 06  9563·
 1987 07  6068·
 1987 08  7972.
 1987 09  6975.
 1987 10  2751·
 1987 11  948·
 1987 12  3050·
 1988 01 8979·
 1988 02 2573·
 1988 03 8852·
 1988 04 4465.
 1988 05 364·
 1988 06 6569.
 1988 07 376.
 1988 08 6073.
 1988 09 7859.
 1988 10 4851.
 1988 11 8765·
 1988 12 4126·
 1989 01  1077.
 1989 02  9976·
 1989 03  9659.
 1989 04  7479.
 1989 05  1664.
 1989 06  6875.
 1989 07  1288·
 1989 08  7382·
 1989 09  4253·
 1989 10  3059.
 1989 11  4072·
 1989 12  7552.
 1990 01 5790.
 1990 02 8754·
 1990 03 1472·
 1990 04 4368·
 1990 05 5462.
 1990 06 6361.
 1990 07 9066.
 1990 08 6569.
 1990 09 5385·
 1990 10 963·
 1990 11 4869.
 1990 12 5458·
 1991 01  9867.
 1991 02  070.
 1991 03  9772·
 1991 04  4779·
 1991 05  5890.
 1991 06  3780·
 1991 07  6785·
 1991 08  969·
 1991 09  2871·
 1991 10  4587·
 1991 11  1565·
 1991 12  2657·
 1992 01 2558·
 1992 02 7566.
 1992 03 2373·
 1992 04 1158·
 1992 05 9539.
 1992 06 164·
 1992 07 9897.
 1992 08 3115.
 1992 09 7118·
 1992 10 24108.
 1992 11 70108.
 1992 12 6499·
 1993 01  5597.
 1993 02  7098·
 1993 03  97102.
 1993 04  8383·
 1993 05  5765.
 1993 06  8994·
 1993 07  6190·
 1993 08  71100.
 1993 09  5897.
 1993 10  56103·
 1993 11  68107.
 1993 12  6780.
 1994 01 2896.
 1994 02 7287.
 1994 03 4980·
 1994 04 35107·
 1994 05 6088·
 1994 06 6394·
 1994 07 61105.
 1994 08 6091·
 1994 09 74100·
 1994 10 7787·
 1994 11 8799.
 1994 12 5873.
 1995 01  1394·
 1995 02  92102·
 1995 03  3276.
 1995 04  6574.
 1995 05  4663·
 1995 06  791.
 1995 07  28101·
 1995 08  4487·
 1995 09  6983.
 1995 10  48102·
 1995 11  3285·
 1995 12  8480·
 1996 01 0135.
 1996 02 6599·
 1996 03 26106·
 1996 04 9786.
 1996 05 8370.
 1996 06 3387·
 1996 07 15114.
 1996 08 21142·
 1996 09 87109.
 1996 10 53104·
 1996 11 3374·
 1996 12 1977.
 1997 01  784·
 1997 02  5173·
 1997 03  35115.
 1997 04  7887.
 1997 05  6182.
 1997 06  7689.
 1997 07  392·
 1997 08  1391.
 1997 09  9449·
 1997 10  478·
 1997 11  4375·
 1997 12  6064·
 1998 01 75126.
 1998 02 3686·
 1998 03 8863.
 1998 04 8254·
 1998 05 9862.
 1998 06 9678·
 1998 07 9494.
 1998 08 6899·
 1998 09 8282.
 1998 10 3659·
 1998 11 4285·
 1998 12 3168·
 1999 01  7286·
 1999 02  3097·
 1999 03  4080.
 1999 04  782·
 1999 05  3666.
 1999 06  8055·
 1999 07  1973·
 1999 08  6172.
 1999 09  6899.
 1999 10  968.
 1999 11  3572.
 1999 12  7949·
 2000 01 8892.
 2000 02 7080.
 2000 03 7086.
 2000 04 7671.
 2000 05 4177·
 2000 06 3789·
 2000 07 31107·
 2000 08 8895·
 2000 09 9469.
 2000 10 1075·
 2000 11 5092.
 2000 12 7995.
 2001 01  4255·
 2001 02  1584·
 2001 03  82105·
 2001 04  3687.
 2001 05  470.
 2001 06  371·
 2001 07  11104·
 2001 08  7372.
 2001 09  2566.
 2001 10  48103·
 2001 11  4280.
 2001 12  27102·
 2002 01 74132.
 2002 02 52115·
 2002 03 690·
 2002 04 61108.
 2002 05 44102.
 2002 06 39116.
 2002 07 62119·
 2002 08 6491.
 2002 09 5593·
 2002 10 60144.
 2002 11 90132.
 2002 12 47117·
 2003 01  51152.
 2003 02  90121·
 2003 03  96125·
 2003 04  49114·
 2003 05  1130.
 2003 06  30112.
 2003 07  14103.
 2003 08  33122.
 2003 09  0113.
 2003 10  5112·
 2003 11  98102.
 2003 12  8790·
 2004 01 66109·
 2004 02 66103·
 2004 03 3185·
 2004 04 2375·
 2004 05 4391·
 2004 06 8762·
 2004 07 20108.
 2004 08 8089·
 2004 09 189.
 2004 10 7099·
 2004 11 96114·
 2004 12 20139.
 2005 01  3494.
 2005 02  39104·
 2005 03  16121.
 2005 04  31102.
 2005 05  6183.
 2005 06  4572.
 2005 07  6189.
 2005 08  2696·
 2005 09  2691·
 2005 10  6488.
 2005 11  3880.
 2005 12  4493·
 2006 01 9986·
 2006 02 9679.
 2006 03 7983.
 2006 04 46102.
 2006 05 7284·
 2006 06 6690·
 2006 07 4174·
 2006 08 2184·
 2006 09 6790.
 2006 10 2497·
 2006 11 478.
 2006 12 8258.
 2007 01  2699·
 2007 02  4687.
 2007 03  7682.
 2007 04  6683.
 2007 05  1867·
 2007 06  3381.
 2007 07  88123·
 2007 08  37111.
 2007 09  3994·
 2007 10  1092.
 2007 11  9788·
 2007 12  8292·
 2008 01 7131·
 2008 02 27122·
 2008 03 84116·
 2008 04 14108.
 2008 05 66121.
 2008 06 59122.
 2008 07 57137·
 2008 08 71132.
 2008 09 8597·
 2008 10 7108·
 2008 11 47118·
 2008 12 17119.
 2009 01  59153.
 2009 02  97177.
 2009 03  10168·
 2009 04  38159.
 2009 05  7186·
 2009 06  78184.
 2009 07  28204·
 2009 08  48162.
 2009 09  72173·
 2009 10  27174·
 2009 11  8177.
 2009 12  85171.
 2010 01 25202·
 2010 02 43197·
 2010 03 81200·
 2010 04 12190.
 2010 05 58154.
 2010 06 51197·
 2010 07 5208.
 2010 08 16173.
 2010 09 92155.
 2010 10 4204.
 2010 11 60200·
 2010 12 10148·
 2011 01  70235.
 2011 02  74205.
 2011 03  53189·
 2011 04  32204·
 2011 05  61202·
 2011 06  64232·
 2011 07  17195.
 2011 08  46179.
 2011 09  61184.
 2011 10  99202·
 2011 11  6170·
 2011 12  39155·
 2012 01 87178.
 2012 02 28209·
 2012 03 5151.
 2012 04 23172·
 2012 05 84185.
 2012 06 27204.
 2012 07 18206.
 2012 08 38219.
 2012 09 21186.
 2012 10 98177.
 2012 11 77208·
 2012 12 45185.
 2013 01  92163.
 2013 02  64212·
 2013 03  40190·
 2013 04  33187.
 2013 05  16162·
 2013 06  76172·
 2013 07  87163·
 2013 08  14168·
 2013 09  38140·
 2013 10  11157.
 2013 11  26171·
 2013 12  27161·
 2014 01 27183·
 2014 02 67176.
 2014 03 88164·
 2014 04 33119·
 2014 05 76177·
 2014 06 71179.
 2014 07 30160·
 2014 08 22177.
 2014 09 6182·
 2014 10 73153·
 2014 11 33133.
 2014 12 7136.
 2015 01  59150·
 2015 02  49134·
 2015 03  4144.
 2015 04  24117.
 2015 05  6132.
 2015 06  98155·
 2015 07  75141·
 2015 08  36155.
 2015 09  40135.
 2015 10  47153.
 2015 11  2140·
 2015 12  33147.
 2016 01 80124.
 2016 02 45122·
 2016 03 66110.
 2016 04 26158.
 2016 05 71131.
 2016 06 68140.
 2016 07 76119.
 2016 08 54145·
 2016 09 82135·
 2016 10 1690·
 2016 11 62100·
 2016 12 79151.
 2017 01  7153.
 2017 02  15122·
 2017 03  80114·
 2017 04  89127.
 2017 05  6499.
 2017 06  15107.
 2017 07  13142.
 2017 08  98126·
 2017 09  99109.


 2017 10  9192·
 2017 11  67108·
 2017 12  4390·
 2018 01 81104·
 2018 02 45130·
 2018 03 7493.
 2018 04 8682.
 2018 05 2105·
 2018 06 0122.
 2018 07 90118.
 2018 08 1696·
 2018 09 8486.
 2018 10 997.
 2018 11 98100.
 2018 12 4797·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Unemployment Level: 20-24 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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