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 Series Title: Not in Labor Force, 20-24 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 63821·
 2012 03 40830·
 2012 02 62764.
 2012 01 61816·
 2011 12  96728·
 2011 11  28686·
 2011 10  18632·
 2011 09  58699·
 2011 08  21722.
 2011 07  39739·
 2011 06  99704.
 2011 05  78727·
 2011 04  88719.
 2011 03  54706·
 2011 02  19754·
 2011 01  66688·
 2010 12 71734·
 2010 11 82686.
 2010 10 16744·
 2010 09 91736·
 2010 08 72750.
 2010 07 53720·
 2010 06 53738.
 2010 05 47734.
 2010 04 16686.
 2010 03 24709.
 2010 02 17679.
 2010 01 54683.
 2009 12  54651·
 2009 11  77642·
 2009 10  21637·
 2009 09  54661.
 2009 08  60653·
 2009 07  18657.
 2009 06  4633·
 2009 05  18643·
 2009 04  35623·
 2009 03  79614·
 2009 02  28639·
 2009 01  40664·
 2008 12 4637·
 2008 11 16672·
 2008 10 81656·
 2008 09 39705.
 2008 08 19632.
 2008 07 12602.
 2008 06 76632.
 2008 05 59657·
 2008 04 53646.
 2008 03 73669·
 2008 02 50702·
 2008 01 68652.
 2007 12  9684·
 2007 11  30677.
 2007 10  67662·
 2007 09  62622.
 2007 08  10603.
 2007 07  40613·
 2007 06  15651·
 2007 05  59651·
 2007 04  8642·
 2007 03  85619.
 2007 02  7622.
 2007 01  4604.
 2006 12 77601.
 2006 11 72661.
 2006 10 79656·
 2006 09 65740·
 2006 08 19685.
 2006 07 31658.
 2006 06 97652·
 2006 05 37629.
 2006 04 58648.
 2006 03 21635·
 2006 02 46655·
 2006 01 39609·
 2005 12  46643.
 2005 11  22634.
 2005 10  40648·
 2005 09  16683.
 2005 08  56750·
 2005 07  40724·
 2005 06  17709·
 2005 05  35697.
 2005 04  91696.
 2005 03  9658.
 2005 02  40690.
 2005 01  91705·
 2004 12 74670·
 2004 11 83648·
 2004 10 97606.
 2004 09 4618.
 2004 08 57565·
 2004 07 46621.
 2004 06 0614.
 2004 05 18606·
 2004 04 15616·
 2004 03 3637·
 2004 02 88654·
 2004 01 2642·
 2003 12  49608·
 2003 11  86620.
 2003 10  23588·
 2003 09  49611·
 2003 08  83594·
 2003 07  52589·
 2003 06  94589·
 2003 05  79624.
 2003 04  68596·
 2003 03  83584.
 2003 02  13618.
 2003 01  37555.
 2002 12 80528·
 2002 11 85551.
 2002 10 17529.
 2002 09 91568·
 2002 08 18578.
 2002 07 89556·
 2002 06 71533·
 2002 05 35605.
 2002 04 9627·
 2002 03 53575.
 2002 02 62557·
 2002 01 89594.
 2001 12  3575.
 2001 11  58602.
 2001 10  2542·
 2001 09  97553.
 2001 08  74547·
 2001 07  11557.
 2001 06  30601.
 2001 05  27595.
 2001 04  24596.
 2001 03  43504·
 2001 02  8514·
 2001 01  75493·
 2000 12 78514.
 2000 11 11559·
 2000 10 25562·
 2000 09 59548.
 2000 08 86593·
 2000 07 96535·
 2000 06 93522·
 2000 05 23499·
 2000 04 24456.
 2000 03 6468·
 2000 02 51456.
 2000 01 36474.
 1999 12  92430.
 1999 11  72500.
 1999 10  60543.
 1999 09  93490.
 1999 08  15521·
 1999 07  50494.
 1999 06  10505.
 1999 05  13473·
 1999 04  44446.
 1999 03  23443.
 1999 02  12423.
 1999 01  40509.
 1998 12 54479·
 1998 11 96489·
 1998 10 5507·
 1998 09 43460.
 1998 08 45502.
 1998 07 2490.
 1998 06 52502·
 1998 05 15492·
 1998 04 44473.
 1998 03 96475·
 1998 02 40451.
 1998 01 77438·
 1997 12  0435·
 1997 11  62416·
 1997 10  82419·
 1997 09  73470.
 1997 08  89466·
 1997 07  5449·
 1997 06  17479.
 1997 05  71461·
 1997 04  11498.
 1997 03  57417.
 1997 02  7405.
 1997 01  66442.
 1996 12 91446.
 1996 11 74453.
 1996 10 41485.
 1996 09 77455·
 1996 08 80461.
 1996 07 39476.
 1996 06 30485.
 1996 05 47504.
 1996 04 54496.
 1996 03 58530.
 1996 02 13544·
 1996 01 47547.
 1995 12  12549.
 1995 11  62564.
 1995 10  53546.
 1995 09  70545.
 1995 08  81536.
 1995 07  9511.
 1995 06  37508.
 1995 05  36526·
 1995 04  10490.
 1995 03  79487·
 1995 02  80526.
 1995 01  88508.
 1994 12 74510.
 1994 11 80508.
 1994 10 17522.
 1994 09 96519·
 1994 08 76509·
 1994 07 43486·
 1994 06 13486.
 1994 05 53478·
 1994 04 38448.
 1994 03 25467.
 1994 02 55500.
 1994 01 80493.
 1993 12  13487·
 1993 11  7526·
 1993 10  56553·
 1993 09  19581.
 1993 08  75551·
 1993 07  97494.
 1993 06  54512·
 1993 05  41510·
 1993 04  25520.
 1993 03  25510.
 1993 02  13486·
 1993 01  40483.
 1992 12 88477.
 1992 11 48474.
 1992 10 18500.
 1992 09 33503.
 1992 08 15448.
 1992 07 49447.
 1992 06 85474·
 1992 05 67444.
 1992 04 81439·
 1992 03 33438.
 1992 02 50455·
 1992 01 9470.
 1991 12  86471.
 1991 11  32494.
 1991 10  77477.
 1991 09  55509.
 1991 08  56477·
 1991 07  3478.
 1991 06  53516·
 1991 05  22529.
 1991 04  41512.
 1991 03  28486.
 1991 02  91491.
 1991 01  56428·
 1990 12 17477·
 1990 11 13467.
 1990 10 29472·
 1990 09 25458·
 1990 08 83403·
 1990 07 89446·
 1990 06 30424.
 1990 05 23445.
 1990 04 66441·
 1990 03 15438·
 1990 02 83487·
 1990 01 71471.
 1989 12  16415.
 1989 11  70399.
 1989 10  99429·
 1989 09  11427·
 1989 08  8379·
 1989 07  62324·
 1989 06  16324.
 1989 05  13334·
 1989 04  42322·
 1989 03  22378.
 1989 02  99374·
 1989 01  71341.
 1988 12 44381.
 1988 11 8362·
 1988 10 33365·
 1988 09 4345·
 1988 08 65368·
 1988 07 0385·
 1988 06 34342·
 1988 05 57391.
 1988 04 79341.
 1988 03 5371.
 1988 02 37307.
 1988 01 98313.
 1987 12  87346.
 1987 11  56359·
 1987 10  6361.
 1987 09  22344·
 1987 08  15352·
 1987 07  8366.
 1987 06  30374.
 1987 05  47372·
 1987 04  13379.
 1987 03  43410.
 1987 02  20374.
 1987 01  19361·
 1986 12 56356.
 1986 11 68363.
 1986 10 16358.
 1986 09 5373·
 1986 08 44356.
 1986 07 15358·
 1986 06 79337·
 1986 05 1353·
 1986 04 4388·
 1986 03 40400·
 1986 02 97379·
 1986 01 25380·
 1985 12  84376.
 1985 11  24371·
 1985 10  84355.
 1985 09  22367.
 1985 08  62379.
 1985 07  75380.
 1985 06  78387·
 1985 05  60396.
 1985 04  37403·
 1985 03  24382.
 1985 02  41391·
 1985 01  34428.
 1984 12 35383.
 1984 11 28368.
 1984 10 61378.
 1984 09 63379.
 1984 08 5385·
 1984 07 68378.
 1984 06 50379.
 1984 05 91417.
 1984 04 24437·
 1984 03 51418·
 1984 02 48433.
 1984 01 88353.
 1983 12  92359.
 1983 11  9336.
 1983 10  17385.
 1983 09  46369.
 1983 08  33384.
 1983 07  98380.
 1983 06  44398·
 1983 05  86404·
 1983 04  0378·
 1983 03  0395·
 1983 02  44380·
 1983 01  52388.
 1982 12 66391.
 1982 11 22366.
 1982 10 52373·
 1982 09 12359·
 1982 08 33341.
 1982 07 95345·
 1982 06 33344·
 1982 05 62344.
 1982 04 25337·
 1982 03 75319·
 1982 02 74342·
 1982 01 19343·
 1981 12  93347.
 1981 11  45314·
 1981 10  89287.
 1981 09  28325.
 1981 08  13310.
 1981 07  12320.
 1981 06  14336.
 1981 05  59328·
 1981 04  85336.
 1981 03  6349.
 1981 02  14318.
 1981 01  6326·
 1980 12 34317.
 1980 11 84312·
 1980 10 75315·
 1980 09 86298·
 1980 08 11318.
 1980 07 28299.
 1980 06 11329.
 1980 05 46355.
 1980 04 90380.
 1980 03 46346.
 1980 02 60362.
 1980 01 54351.
 1979 12  74285.
 1979 11  67266·
 1979 10  84287.
 1979 09  3252.
 1979 08  86269.
 1979 07  49287·
 1979 06  71280.
 1979 05  14285.
 1979 04  77293·
 1979 03  74266.
 1979 02  35274·
 1979 01  30267.
 1978 12 23271·
 1978 11 49289.
 1978 10 13262·
 1978 09 20296.
 1978 08 24312·
 1978 07 4303·
 1978 06 68297·
 1978 05 79301.
 1978 04 5282·
 1978 03 97277.
 1978 02 88287.
 1978 01 26284·
 1977 12  17303·
 1977 11  8299.
 1977 10  86298.
 1977 09  5270·
 1977 08  36272.
 1977 07  46274·
 1977 06  0264.
 1977 05  84268·
 1977 04  60262.
 1977 03  41266.
 1977 02  93253.
 1977 01  59273·
 1976 12 17267·
 1976 11 51285.
 1976 10 51255·
 1976 09 48253·
 1976 08 57261·
 1976 07 56248·
 1976 06 90251·
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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 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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