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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 3849.
 1976 07 5543.
 1976 08 4843.
 1976 09 7740.
 1976 10 2559.
 1976 11 7748·
 1976 12 2049.
 1977 01  7146·
 1977 02  2854.
 1977 03  4740·
 1977 04  4230·
 1977 05  1435·
 1977 06  9848·
 1977 07  4853·
 1977 08  2945.
 1977 09  4942.
 1977 10  1136.
 1977 11  8532·
 1977 12  1724·
 1978 01 4639·
 1978 02 6546.
 1978 03 9155·
 1978 04 6945·
 1978 05 037·
 1978 06 8843.
 1978 07 2260·
 1978 08 7456·
 1978 09 2847·
 1978 10 2943·
 1978 11 5938·
 1978 12 4546.
 1979 01  7647·
 1979 02  6347·
 1979 03  1044.
 1979 04  1941·
 1979 05  1346·
 1979 06  9259.
 1979 07  644.
 1979 08  5858.
 1979 09  3237.
 1979 10  4045·
 1979 11  343.
 1979 12  5270.
 1980 01 5346·
 1980 02 5857.
 1980 03 8460·
 1980 04 1348·
 1980 05 2048.
 1980 06 2148·
 1980 07 5472·
 1980 08 7939·
 1980 09 259.
 1980 10 3042·
 1980 11 4655·
 1980 12 1258.
 1981 01  9355.
 1981 02  951·
 1981 03  1657·
 1981 04  142·
 1981 05  1269·
 1981 06  1152.
 1981 07  4693·
 1981 08  5888·
 1981 09  457.
 1981 10  972·
 1981 11  4275·
 1981 12  2274·
 1982 01 3885.
 1982 02 473·
 1982 03 3787.
 1982 04 5575.
 1982 05 780.
 1982 06 2280.
 1982 07 8683·
 1982 08 4573.
 1982 09 3196·
 1982 10 1380.
 1982 11 7187.
 1982 12 693.
 1983 01  5587.
 1983 02  52115.
 1983 03  0107·
 1983 04  74107·
 1983 05  4668.
 1983 06  4078.
 1983 07  357·
 1983 08  1366·
 1983 09  075.
 1983 10  272.
 1983 11  3778.
 1983 12  1149·
 1984 01 3584·
 1984 02 8856.
 1984 03 8577·
 1984 04 8061·
 1984 05 9662.
 1984 06 7552·
 1984 07 5255.
 1984 08 5951·
 1984 09 5256·
 1984 10 6274.
 1984 11 7057·
 1984 12 1050.
 1985 01  9743.
 1985 02  7464·
 1985 03  9674.
 1985 04  2261.
 1985 05  4976·
 1985 06  6363·
 1985 07  1152·
 1985 08  665.
 1985 09  5478.
 1985 10  365.
 1985 11  2357·
 1985 12  260.
 1986 01 8083·
 1986 02 9591.
 1986 03 6245.
 1986 04 7258·
 1986 05 2276·
 1986 06 6586.
 1986 07 8676.
 1986 08 369.
 1986 09 9855·
 1986 10 6263·
 1986 11 7553.
 1986 12 1061.
 1987 01  5390.
 1987 02  6272.
 1987 03  3850·
 1987 04  2963·
 1987 05  5662.
 1987 06  6563.
 1987 07  568·
 1987 08  2372·
 1987 09  175·
 1987 10  9851.
 1987 11  3248.
 1987 12  8150·
 1988 01 779.
 1988 02 973·
 1988 03 352.
 1988 04 1565·
 1988 05 1864·
 1988 06 7669·
 1988 07 2276·
 1988 08 6473·
 1988 09 459·
 1988 10 9751·
 1988 11 2365·
 1988 12 8926.
 1989 01  5877.
 1989 02  9976.
 1989 03  6159·
 1989 04  7979.
 1989 05  064·
 1989 06  3175.
 1989 07  1888.
 1989 08  4882·
 1989 09  7453·
 1989 10  7059.
 1989 11  172.
 1989 12  3252.
 1990 01 4990·
 1990 02 1554.
 1990 03 4172·
 1990 04 9468·
 1990 05 1962.
 1990 06 9261.
 1990 07 9666·
 1990 08 2469.
 1990 09 485.
 1990 10 5163·
 1990 11 4669.
 1990 12 3258.
 1991 01  4767·
 1991 02  6970·
 1991 03  9972.
 1991 04  5879·
 1991 05  1790.
 1991 06  4480·
 1991 07  8585.
 1991 08  6469·
 1991 09  971·
 1991 10  387.
 1991 11  6365.
 1991 12  3957.
 1992 01 4258.
 1992 02 9666.
 1992 03 1273.
 1992 04 9458.
 1992 05 6039.
 1992 06 9864·
 1992 07 4197.
 1992 08 68115.
 1992 09 32118.
 1992 10 10108.
 1992 11 80108.
 1992 12 2499·
 1993 01  5297.
 1993 02  5798.
 1993 03  86102·
 1993 04  5083.
 1993 05  4065.
 1993 06  8994.
 1993 07  4290·
 1993 08  58100.
 1993 09  3997·
 1993 10  82103.
 1993 11  52107.
 1993 12  8680·
 1994 01 1996.
 1994 02 3787.
 1994 03 5080.
 1994 04 98107.
 1994 05 7488·
 1994 06 7894·
 1994 07 92105.
 1994 08 8191.
 1994 09 23100.
 1994 10 5687·
 1994 11 5999·
 1994 12 4873·
 1995 01  1094.
 1995 02  47102.
 1995 03  5876·
 1995 04  3874·
 1995 05  463.
 1995 06  5191.
 1995 07  21101.
 1995 08  1287·
 1995 09  083.
 1995 10  92102.
 1995 11  485·
 1995 12  5980.
 1996 01 16135.
 1996 02 2399·
 1996 03 89106.
 1996 04 9186·
 1996 05 9770·
 1996 06 1787·
 1996 07 83114·
 1996 08 47142.
 1996 09 11109.
 1996 10 76104·
 1996 11 1774·
 1996 12 9077.
 1997 01  5484·
 1997 02  2473·
 1997 03  48115·
 1997 04  787·
 1997 05  4482·
 1997 06  1389·
 1997 07  5792·
 1997 08  1191.
 1997 09  2549.
 1997 10  1778.
 1997 11  5275.
 1997 12  4064.
 1998 01 66126·
 1998 02 3786·
 1998 03 6363·
 1998 04 5854.
 1998 05 6262·
 1998 06 9978.
 1998 07 4894·
 1998 08 5199·
 1998 09 3182·
 1998 10 5259.
 1998 11 8885.
 1998 12 3368·
 1999 01  1986.
 1999 02  7297·
 1999 03  9080.
 1999 04  4282·
 1999 05  9366.
 1999 06  6055.
 1999 07  8673.
 1999 08  4072·
 1999 09  4899.
 1999 10  4168.
 1999 11  3172·
 1999 12  1649·
 2000 01 492·
 2000 02 6580·
 2000 03 886·
 2000 04 8271·
 2000 05 477.
 2000 06 789.
 2000 07 23107·
 2000 08 7695·
 2000 09 1769.
 2000 10 6975.
 2000 11 892.
 2000 12 6295.
 2001 01  3855·
 2001 02  7584.
 2001 03  20105·
 2001 04  2687·
 2001 05  8670·
 2001 06  7771·
 2001 07  40104·
 2001 08  8372·
 2001 09  566·
 2001 10  48103.
 2001 11  7580.
 2001 12  69102.
 2002 01 64132.
 2002 02 90115.
 2002 03 5690.
 2002 04 48108·
 2002 05 57102·
 2002 06 28116·
 2002 07 41119·
 2002 08 891.
 2002 09 393.
 2002 10 12144.
 2002 11 10132.
 2002 12 61117·
 2003 01  47152·
 2003 02  19121·
 2003 03  71125.
 2003 04  45114.
 2003 05  58130.
 2003 06  47112.
 2003 07  55103·
 2003 08  24122·
 2003 09  29113·
 2003 10  23112.
 2003 11  18102·
 2003 12  8590·
 2004 01 80109.
 2004 02 97103.
 2004 03 4385.
 2004 04 4175·
 2004 05 5591·
 2004 06 4462.
 2004 07 36108.
 2004 08 3089.
 2004 09 2489.
 2004 10 6699.
 2004 11 29114.
 2004 12 15139.
 2005 01  8094·
 2005 02  86104.
 2005 03  77121·
 2005 04  83102.
 2005 05  4283.
 2005 06  5672·
 2005 07  6489·
 2005 08  4896.
 2005 09  5591·
 2005 10  5188.
 2005 11  9680.
 2005 12  4893·
 2006 01 8886·
 2006 02 7179·
 2006 03 383.
 2006 04 45102.
 2006 05 3484.
 2006 06 4190·
 2006 07 4474.
 2006 08 2784.
 2006 09 1490·
 2006 10 1397·
 2006 11 9878.
 2006 12 758.
 2007 01  7199·
 2007 02  6287·
 2007 03  7482.
 2007 04  2483.
 2007 05  7467.
 2007 06  8781.
 2007 07  3123.
 2007 08  39111·
 2007 09  1794·
 2007 10  1592·
 2007 11  4188·
 2007 12  4292.
 2008 01 20131·
 2008 02 95122·
 2008 03 70116.
 2008 04 44108·
 2008 05 27121.
 2008 06 3122.
 2008 07 97137·
 2008 08 83132·
 2008 09 797·
 2008 10 40108·
 2008 11 54118·
 2008 12 24119·
 2009 01  54153·
 2009 02  30177.
 2009 03  96168·
 2009 04  52159·
 2009 05  87186.
 2009 06  25184.
 2009 07  6204.
 2009 08  82162.
 2009 09  50173·
 2009 10  0174.
 2009 11  90177.
 2009 12  51171·
 2010 01 13202.
 2010 02 54197·
 2010 03 80200·
 2010 04 22190.
 2010 05 69154.
 2010 06 14197·
 2010 07 32208·
 2010 08 83173.
 2010 09 38155·
 2010 10 30204.
 2010 11 29200.
 2010 12 47148·
 2011 01  64235.
 2011 02  76205.
 2011 03  76189·
 2011 04  52204.
 2011 05  16202·
 2011 06  55232·
 2011 07  6195·
 2011 08  60179·
 2011 09  88184·
 2011 10  90202·
 2011 11  75170.
 2011 12  60155.
 2012 01 0178.
 2012 02 33209·
 2012 03 65151.
 2012 04 65172.
 2012 05 94185.
 2012 06 58204·
 2012 07 82206.
 2012 08 11219.
 2012 09 42186.
 2012 10 67177.
 2012 11 58208.
 2012 12 63185.
 2013 01  36163.
 2013 02  84212.
 2013 03  50190.
 2013 04  8187.
 2013 05  96162·
 2013 06  60172.
 2013 07  39163·
 2013 08  59168.
 2013 09  65140·
 2013 10  70157·
 2013 11  32171·
 2013 12  54161·
 2014 01 15183.
 2014 02 15176.
 2014 03 60164·
 2014 04 56119.
 2014 05 37177·
 2014 06 21179.
 2014 07 81160·
 2014 08 52177·
 2014 09 52182·
 2014 10 36153.
 2014 11 76133.
 2014 12 56136.
 2015 01  3150·
 2015 02  38134.
 2015 03  51144.
 2015 04  5117.
 2015 05  60132.
 2015 06  25155·
 2015 07  38141·
 2015 08  63155·
 2015 09  17135.
 2015 10  25153.
 2015 11  94140·
 2015 12  16147·
 2016 01 92124·
 2016 02 86122.
 2016 03 1110.
 2016 04 79158.
 2016 05 31131.
 2016 06 85140·
 2016 07 64119.
 2016 08 89145.
 2016 09 2135.
 2016 10 2290·
 2016 11 17100.
 2016 12 9151·
 2017 01  0153.


 2017 02  22122.
 2017 03  14114.
 2017 04  27127.
 2017 05  4399.
 2017 06  35107·
 2017 07  39142·
 2017 08  55126.
 2017 09  76109·
 2017 10  3892·
 2017 11  97108.
 2017 12  3290.
 2018 01 67104·
 2018 02 30130·
 2018 03 2193·
 2018 04 2082.
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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