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 Series Title: Not in Labor Force, 20-24 years, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 351315.
 2012 03 741295·
 2012 02 11273.
 2012 01 171305.
 2011 12  511134·
 2011 11  301145.
 2011 10  851087·
 2011 09  791181·
 2011 08  511170.
 2011 07  21227·
 2011 06  901131.
 2011 05  581175·
 2011 04  881218·
 2011 03  741227·
 2011 02  271245·
 2011 01  991164·
 2010 12 351172·
 2010 11 511159.
 2010 10 341204.
 2010 09 701111·
 2010 08 931120.
 2010 07 651082.
 2010 06 751108.
 2010 05 661142.
 2010 04 881086.
 2010 03 731115·
 2010 02 371058.
 2010 01 71082.
 2009 12  71999·
 2009 11  57964.
 2009 10  33985·
 2009 09  35995·
 2009 08  15989·
 2009 07  22928·
 2009 06  1959·
 2009 05  21953.
 2009 04  23924.
 2009 03  2951.
 2009 02  41010.
 2009 01  581046·
 2008 12 18977·
 2008 11 511009.
 2008 10 30955·
 2008 09 65996.
 2008 08 52925·
 2008 07 53880.
 2008 06 92889·
 2008 05 87924·
 2008 04 1939·
 2008 03 13965.
 2008 02 271008.
 2008 01 93956.
 2007 12  63954.
 2007 11  63940·
 2007 10  98938·
 2007 09  77912·
 2007 08  66889·
 2007 07  61884·
 2007 06  94934.
 2007 05  58977.
 2007 04  58926·
 2007 03  86907·
 2007 02  27911·
 2007 01  81870.
 2006 12 16834.
 2006 11 48909·
 2006 10 35887·
 2006 09 131004.
 2006 08 40927.
 2006 07 75920.
 2006 06 82922.
 2006 05 51926·
 2006 04 56937.
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 2006 02 54938·
 2006 01 12899.
 2005 12  13943·
 2005 11  83937.
 2005 10  65962.
 2005 09  401007.
 2005 08  871057.
 2005 07  521000·
 2005 06  52961.
 2005 05  61005·
 2005 04  79983·
 2005 03  631011·
 2005 02  801039.
 2005 01  31056·
 2004 12 131037·
 2004 11 75922·
 2004 10 34894.
 2004 09 50914·
 2004 08 41842·
 2004 07 68914·
 2004 06 29919·
 2004 05 91899·
 2004 04 38898.
 2004 03 50981·
 2004 02 31023·
 2004 01 96966·
 2003 12  4911.
 2003 11  51953.
 2003 10  17871·
 2003 09  58906.
 2003 08  64880.
 2003 07  30864.
 2003 06  61850·
 2003 05  98845.
 2003 04  69824·
 2003 03  66816.
 2003 02  46836.
 2003 01  58773.
 2002 12 94797.
 2002 11 67818.
 2002 10 11816·
 2002 09 8860.
 2002 08 40812·
 2002 07 65822.
 2002 06 19799·
 2002 05 43859·
 2002 04 32884·
 2002 03 16828.
 2002 02 58815·
 2002 01 80849.
 2001 12  20831·
 2001 11  2844·
 2001 10  40792·
 2001 09  66840·
 2001 08  80836·
 2001 07  29816·
 2001 06  3894·
 2001 05  68814.
 2001 04  13785.
 2001 03  29690.
 2001 02  11756·
 2001 01  80708·
 2000 12 43739·
 2000 11 59789·
 2000 10 50743.
 2000 09 23744.
 2000 08 21800.
 2000 07 0770.
 2000 06 35667·
 2000 05 40675·
 2000 04 22623·
 2000 03 60635.
 2000 02 3642.
 2000 01 0685·
 1999 12  47606.
 1999 11  69703·
 1999 10  17690·
 1999 09  97665·
 1999 08  21663·
 1999 07  84610·
 1999 06  64648·
 1999 05  51633·
 1999 04  95623·
 1999 03  87624.
 1999 02  58596.
 1999 01  5709·
 1998 12 44714.
 1998 11 85690.
 1998 10 37689.
 1998 09 29651.
 1998 08 68658·
 1998 07 9641·
 1998 06 62676.
 1998 05 17647·
 1998 04 92629·
 1998 03 16664·
 1998 02 24580.
 1998 01 88609·
 1997 12  68623·
 1997 11  87575·
 1997 10  33586·
 1997 09  86655.
 1997 08  70606.
 1997 07  29609.
 1997 06  28618·
 1997 05  81625.
 1997 04  0663·
 1997 03  75621.
 1997 02  73617.
 1997 01  66620.
 1996 12 81623.
 1996 11 79632.
 1996 10 54659·
 1996 09 60676·
 1996 08 65617·
 1996 07 25650·
 1996 06 85669.
 1996 05 9685.
 1996 04 27711·
 1996 03 18723.
 1996 02 3721·
 1996 01 80781·
 1995 12  68758.
 1995 11  91780·
 1995 10  72733.
 1995 09  68708·
 1995 08  13679·
 1995 07  99672.
 1995 06  80674.
 1995 05  92713·
 1995 04  11703·
 1995 03  25665.
 1995 02  39715.
 1995 01  97717·
 1994 12 40700·
 1994 11 76668.
 1994 10 87690·
 1994 09 51674·
 1994 08 98676·
 1994 07 82613.
 1994 06 87624·
 1994 05 49620.
 1994 04 12614.
 1994 03 1653·
 1994 02 27631.
 1994 01 9703·
 1993 12  31645·
 1993 11  14715·
 1993 10  20718.
 1993 09  77766·
 1993 08  32700.
 1993 07  28618·
 1993 06  3674·
 1993 05  20691.
 1993 04  14686·
 1993 03  74657.
 1993 02  41639·
 1993 01  33606.
 1992 12 4611·
 1992 11 10634.
 1992 10 19673.
 1992 09 36665·
 1992 08 50578.
 1992 07 16569·
 1992 06 53617·
 1992 05 72604·
 1992 04 30616.
 1992 03 99616.
 1992 02 78665.
 1992 01 11697·
 1991 12  42655·
 1991 11  92662.
 1991 10  59644.
 1991 09  47648·
 1991 08  13607·
 1991 07  50609·
 1991 06  83643.
 1991 05  98673·
 1991 04  93653·
 1991 03  56678.
 1991 02  63666.
 1991 01  9605.
 1990 12 57648.
 1990 11 15609·
 1990 10 37609·
 1990 09 50594·
 1990 08 6502.
 1990 07 60566·
 1990 06 67561·
 1990 05 13572.
 1990 04 65571.
 1990 03 47561.
 1990 02 42649.
 1990 01 19633·
 1989 12  85514.
 1989 11  58504·
 1989 10  75524.
 1989 09  12510·
 1989 08  40441.
 1989 07  0403.
 1989 06  3427·
 1989 05  60444.
 1989 04  32431·
 1989 03  3488.
 1989 02  90486.
 1989 01  59432.
 1988 12 85497.
 1988 11 26461.
 1988 10 22477.
 1988 09 26449·
 1988 08 50470·
 1988 07 49472.
 1988 06 14427·
 1988 05 6489.
 1988 04 3442·
 1988 03 79512·
 1988 02 3412·
 1988 01 69435.
 1987 12  44494.
 1987 11  48479·
 1987 10  52515·
 1987 09  8469.
 1987 08  98456.
 1987 07  12473.
 1987 06  48492·
 1987 05  42487·
 1987 04  15493.
 1987 03  53517·
 1987 02  5479·
 1987 01  16474.
 1986 12 71474·
 1986 11 77483.
 1986 10 61493.
 1986 09 99495.
 1986 08 67450·
 1986 07 17451·
 1986 06 78467·
 1986 05 85457.
 1986 04 28486·
 1986 03 29501.
 1986 02 45511.
 1986 01 93552·
 1985 12  4506·
 1985 11  94472·
 1985 10  74477·
 1985 09  68468·
 1985 08  70486.
 1985 07  20510·
 1985 06  3487.
 1985 05  77508·
 1985 04  27539.
 1985 03  37511.
 1985 02  94539·
 1985 01  16570.
 1984 12 1523·
 1984 11 3491·
 1984 10 37514.
 1984 09 4498.
 1984 08 41483·
 1984 07 99472·
 1984 06 44483.
 1984 05 85513·
 1984 04 23555.
 1984 03 31544·
 1984 02 52587·
 1984 01 28510·
 1983 12  48501.
 1983 11  33472.
 1983 10  25525.
 1983 09  26502·
 1983 08  41503·
 1983 07  59504.
 1983 06  51482·
 1983 05  0546·
 1983 04  52510.
 1983 03  91546·
 1983 02  41492.
 1983 01  93516·
 1982 12 57531·
 1982 11 38488·
 1982 10 35513.
 1982 09 75511.
 1982 08 56447.
 1982 07 29464·
 1982 06 96470.
 1982 05 40449.
 1982 04 75456.
 1982 03 21427·
 1982 02 10452.
 1982 01 6470·
 1981 12  63455·
 1981 11  97430.
 1981 10  91395·
 1981 09  18419.
 1981 08  96398.
 1981 07  63401·
 1981 06  77427.
 1981 05  45417·
 1981 04  75427·
 1981 03  50441·
 1981 02  30407·
 1981 01  82417.
 1980 12 25441.
 1980 11 15420.
 1980 10 40411·
 1980 09 46407.
 1980 08 97415·
 1980 07 41378·
 1980 06 17406.
 1980 05 84450·
 1980 04 65469.
 1980 03 32438.
 1980 02 1457.
 1980 01 63438·
 1979 12  31352·
 1979 11  22337.
 1979 10  55353·
 1979 09  77330·
 1979 08  19322·
 1979 07  66344.
 1979 06  65335.
 1979 05  47327.
 1979 04  80336·
 1979 03  47325·
 1979 02  46338.
 1979 01  16338.
 1978 12 90346.
 1978 11 71349.
 1978 10 34329.
 1978 09 52392.
 1978 08 48377.
 1978 07 69366.
 1978 06 94372·
 1978 05 52385·
 1978 04 80369.
 1978 03 99352·
 1978 02 12370·
 1978 01 32357.
 1977 12  37375·
 1977 11  42369.
 1977 10  1375·
 1977 09  39349.
 1977 08  94347.
 1977 07  4336.
 1977 06  1310.
 1977 05  40364.
 1977 04  51358.
 1977 03  17345.
 1977 02  72334.
 1977 01  30343.
 1976 12 34337·
 1976 11 39350·
 1976 10 4315.
 1976 09 27323.
 1976 08 93320.
 1976 07 49287.
 1976 06 9307·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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: Not in Labor Force, 20-24 years, Hispanic or Latino: 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

Make charts for Okun's Law and Phillip's Curve

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