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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 3449·
 1976 07 1143.
 1976 08 7943·
 1976 09 5340.
 1976 10 7359·
 1976 11 8048·
 1976 12 1849·
 1977 01  6046.
 1977 02  6054.
 1977 03  3040·
 1977 04  4030·
 1977 05  4735·
 1977 06  4548.
 1977 07  4153·
 1977 08  5745·
 1977 09  5942·
 1977 10  436·
 1977 11  2032.
 1977 12  724·
 1978 01 6339.
 1978 02 3646·
 1978 03 9855.
 1978 04 5345.
 1978 05 5537·
 1978 06 6743.
 1978 07 3360.
 1978 08 8256.
 1978 09 5347·
 1978 10 4843.
 1978 11 638.
 1978 12 846.
 1979 01  247.
 1979 02  5347·
 1979 03  2344·
 1979 04  6941·
 1979 05  7146·
 1979 06  8459·
 1979 07  1644·
 1979 08  2658.
 1979 09  5337.
 1979 10  6645.
 1979 11  4343·
 1979 12  7070·
 1980 01 6946.
 1980 02 4957·
 1980 03 8460·
 1980 04 1148.
 1980 05 6148.
 1980 06 848·
 1980 07 4672·
 1980 08 8839.
 1980 09 059·
 1980 10 4542.
 1980 11 6055.
 1980 12 6558·
 1981 01  8055.
 1981 02  8351.
 1981 03  8457·
 1981 04  2842·
 1981 05  1969·
 1981 06  7452·
 1981 07  9993.
 1981 08  9188.
 1981 09  6257·
 1981 10  9372.
 1981 11  1275·
 1981 12  9274.
 1982 01 7885·
 1982 02 4173·
 1982 03 5487·
 1982 04 9375·
 1982 05 6080.
 1982 06 4380·
 1982 07 8383·
 1982 08 8273·
 1982 09 2996.
 1982 10 4880·
 1982 11 7887.
 1982 12 7393·
 1983 01  2887.
 1983 02  34115.
 1983 03  48107.
 1983 04  3107.
 1983 05  2768.
 1983 06  9978.
 1983 07  2457·
 1983 08  3566·
 1983 09  1975.
 1983 10  7072.
 1983 11  6378·
 1983 12  5749.
 1984 01 2484.
 1984 02 9656.
 1984 03 4577.
 1984 04 8261·
 1984 05 8662·
 1984 06 5452·
 1984 07 7955·
 1984 08 4851·
 1984 09 7456·
 1984 10 4474.
 1984 11 9457.
 1984 12 1750.
 1985 01  8243·
 1985 02  9064·
 1985 03  4974·
 1985 04  7861.
 1985 05  2976·
 1985 06  4463.
 1985 07  2552·
 1985 08  4365.
 1985 09  6078.
 1985 10  8065·
 1985 11  2857·
 1985 12  5160.
 1986 01 4383·
 1986 02 9991.
 1986 03 9045·
 1986 04 6458·
 1986 05 7376.
 1986 06 2786.
 1986 07 6876·
 1986 08 7069.
 1986 09 6955.
 1986 10 1463·
 1986 11 4353·
 1986 12 8261.
 1987 01  7590·
 1987 02  3672.
 1987 03  2250.
 1987 04  3763·
 1987 05  6062.
 1987 06  9263.
 1987 07  3668.
 1987 08  072·
 1987 09  1875.
 1987 10  851·
 1987 11  4348.
 1987 12  5750.
 1988 01 6979·
 1988 02 3473·
 1988 03 2452.
 1988 04 2265·
 1988 05 5664.
 1988 06 4769.
 1988 07 8576.
 1988 08 3273.
 1988 09 4959.
 1988 10 4551·
 1988 11 5865.
 1988 12 5026.
 1989 01  4277·
 1989 02  5676·
 1989 03  059·
 1989 04  6579.
 1989 05  5364·
 1989 06  2875.
 1989 07  9288·
 1989 08  8982.
 1989 09  2853·
 1989 10  3859·
 1989 11  4272.
 1989 12  6052·
 1990 01 3590.
 1990 02 8654.
 1990 03 8072.
 1990 04 4168·
 1990 05 6962·
 1990 06 9661·
 1990 07 6466.
 1990 08 1969.
 1990 09 4885.
 1990 10 2163·
 1990 11 7469.
 1990 12 858·
 1991 01  1667·
 1991 02  3470·
 1991 03  1872.
 1991 04  4679·
 1991 05  4490·
 1991 06  3780.
 1991 07  2885·
 1991 08  9569·
 1991 09  2471·
 1991 10  5587.
 1991 11  5965·
 1991 12  4457·
 1992 01 7758·
 1992 02 3866·
 1992 03 9473·
 1992 04 558·
 1992 05 4639.
 1992 06 6164·
 1992 07 3997·
 1992 08 16115.
 1992 09 0118·
 1992 10 25108·
 1992 11 26108·
 1992 12 4099·
 1993 01  3497.
 1993 02  5698.
 1993 03  11102·
 1993 04  6583.
 1993 05  6665·
 1993 06  394.
 1993 07  7790·
 1993 08  3100.
 1993 09  4197·
 1993 10  43103·
 1993 11  29107·
 1993 12  9480·
 1994 01 2896.
 1994 02 7587·
 1994 03 080·
 1994 04 99107.
 1994 05 2288·
 1994 06 2494·
 1994 07 45105·
 1994 08 691.
 1994 09 40100·
 1994 10 4387.
 1994 11 4799.
 1994 12 2973.
 1995 01  2894·
 1995 02  4102.
 1995 03  1376·
 1995 04  574·
 1995 05  5463.
 1995 06  1091·
 1995 07  74101·
 1995 08  9787·
 1995 09  1383·
 1995 10  86102.
 1995 11  8685.
 1995 12  9380.
 1996 01 24135.
 1996 02 8199·
 1996 03 31106.
 1996 04 686·
 1996 05 3170·
 1996 06 7287.
 1996 07 16114·
 1996 08 74142.
 1996 09 2109.
 1996 10 58104.
 1996 11 7374·
 1996 12 6077.
 1997 01  3384·
 1997 02  6573.
 1997 03  58115.
 1997 04  5187.
 1997 05  4382·
 1997 06  4389·
 1997 07  5392.
 1997 08  6191·
 1997 09  7549.
 1997 10  6978·
 1997 11  6475.
 1997 12  2764.
 1998 01 98126·
 1998 02 4186.
 1998 03 2363·
 1998 04 1354.
 1998 05 762.
 1998 06 8778·
 1998 07 8794·
 1998 08 599·
 1998 09 2182.
 1998 10 5559·
 1998 11 3885.
 1998 12 1868·
 1999 01  8586·
 1999 02  2197·
 1999 03  8180·
 1999 04  8882·
 1999 05  6666·
 1999 06  8755.
 1999 07  4973·
 1999 08  8072.
 1999 09  6099·
 1999 10  7668.
 1999 11  9872.
 1999 12  8049·
 2000 01 8592·
 2000 02 4080·
 2000 03 1086.
 2000 04 171.
 2000 05 8677.
 2000 06 5489.
 2000 07 92107·
 2000 08 8395.
 2000 09 3169·
 2000 10 1875.
 2000 11 7592·
 2000 12 8695.
 2001 01  1655.
 2001 02  5884.
 2001 03  16105.
 2001 04  087.
 2001 05  5870.
 2001 06  2471.
 2001 07  96104·
 2001 08  3772.
 2001 09  366.
 2001 10  92103·
 2001 11  2280.
 2001 12  35102·
 2002 01 19132.
 2002 02 61115.
 2002 03 2790·
 2002 04 57108.
 2002 05 0102·
 2002 06 58116·
 2002 07 65119·
 2002 08 9191.
 2002 09 6693·
 2002 10 32144·
 2002 11 20132·
 2002 12 50117·
 2003 01  61152·
 2003 02  60121·
 2003 03  97125·
 2003 04  71114·
 2003 05  54130.
 2003 06  40112·
 2003 07  29103.
 2003 08  18122.
 2003 09  38113·
 2003 10  0112·
 2003 11  71102.
 2003 12  7890.
 2004 01 34109·
 2004 02 89103·
 2004 03 685.
 2004 04 6575.
 2004 05 8691·
 2004 06 8362.
 2004 07 41108.
 2004 08 1689.
 2004 09 6189.
 2004 10 8199.
 2004 11 6114·
 2004 12 93139·
 2005 01  5594·
 2005 02  10104·
 2005 03  59121.
 2005 04  86102·
 2005 05  8783·
 2005 06  2072·
 2005 07  8189.
 2005 08  796.
 2005 09  191.
 2005 10  8688·
 2005 11  7980.
 2005 12  9393·
 2006 01 6686·
 2006 02 979·
 2006 03 8483·
 2006 04 8102.
 2006 05 7684.
 2006 06 1390·
 2006 07 5374·
 2006 08 4084.
 2006 09 5090.
 2006 10 5097·
 2006 11 6978.
 2006 12 158·
 2007 01  3399·
 2007 02  9587.
 2007 03  3682·
 2007 04  2983.
 2007 05  9367·
 2007 06  4781·
 2007 07  88123·
 2007 08  88111·
 2007 09  2594.
 2007 10  3392·
 2007 11  8088.
 2007 12  6492.
 2008 01 48131·
 2008 02 4122·
 2008 03 94116·
 2008 04 72108·
 2008 05 5121·
 2008 06 33122.
 2008 07 38137.
 2008 08 48132·
 2008 09 6797.
 2008 10 22108.
 2008 11 42118.
 2008 12 56119·
 2009 01  28153·
 2009 02  97177.
 2009 03  63168·
 2009 04  84159.
 2009 05  5186·
 2009 06  6184.
 2009 07  83204·
 2009 08  45162·
 2009 09  44173·
 2009 10  27174·
 2009 11  8177·
 2009 12  76171.
 2010 01 14202·
 2010 02 59197.
 2010 03 71200·
 2010 04 40190.
 2010 05 9154·
 2010 06 27197·
 2010 07 28208·
 2010 08 25173.
 2010 09 48155·
 2010 10 83204·
 2010 11 59200.
 2010 12 45148.
 2011 01  74235·
 2011 02  1205.
 2011 03  73189·
 2011 04  36204.
 2011 05  58202.
 2011 06  82232.
 2011 07  1195.
 2011 08  63179·
 2011 09  94184.
 2011 10  51202.
 2011 11  99170·
 2011 12  12155.
 2012 01 0178·
 2012 02 59209·
 2012 03 49151.
 2012 04 97172·
 2012 05 20185·
 2012 06 80204·
 2012 07 58206.
 2012 08 56219.
 2012 09 25186·
 2012 10 16177·
 2012 11 57208·
 2012 12 50185.
 2013 01  7163·
 2013 02  92212.
 2013 03  2190·
 2013 04  70187.
 2013 05  87162.
 2013 06  58172.
 2013 07  77163.
 2013 08  26168·
 2013 09  8140·
 2013 10  90157.
 2013 11  86171.
 2013 12  58161·
 2014 01 39183·
 2014 02 87176·
 2014 03 62164.
 2014 04 28119·
 2014 05 74177·
 2014 06 76179.
 2014 07 62160·
 2014 08 23177.
 2014 09 34182·
 2014 10 6153·
 2014 11 67133.
 2014 12 58136.
 2015 01  61150.
 2015 02  54134·
 2015 03  84144·
 2015 04  69117·
 2015 05  25132.
 2015 06  19155.
 2015 07  44141·
 2015 08  19155.
 2015 09  20135.
 2015 10  27153.
 2015 11  4140.
 2015 12  97147.
 2016 01 66124.
 2016 02 29122.
 2016 03 46110.
 2016 04 16158·
 2016 05 5131·
 2016 06 99140·
 2016 07 76119·
 2016 08 13145·
 2016 09 9135.
 2016 10 3890.
 2016 11 26100.
 2016 12 51151·
 2017 01  70153.
 2017 02  72122.
 2017 03  52114.
 2017 04  17127·
 2017 05  799·
 2017 06  50107.


 2017 07  37142·
 2017 08  26126.
 2017 09  66109·
 2017 10  4992.
 2017 11  87108·
 2017 12  1590·
 2018 01 15104.
 2018 02 68130.
 2018 03 3393·
 2018 04 4682.
 2018 05 48105·
 2018 06 33122·
 2018 07 33118.
 2018 08 896.
 2018 09 8486·
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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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