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 Series Title: Not in Labor Force, 16-19 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 401315·
 2012 03 991287·
 2012 02 491260·
 2012 01 741310·
 2011 12  821213.
 2011 11  821198.
 2011 10  881188.
 2011 09  421183.
 2011 08  651144.
 2011 07  391109.
 2011 06  31145·
 2011 05  831156.
 2011 04  401210·
 2011 03  511198.
 2011 02  71194.
 2011 01  421170·
 2010 12 821160·
 2010 11 251171.
 2010 10 381160·
 2010 09 881149·
 2010 08 921080·
 2010 07 921029.
 2010 06 581119.
 2010 05 151111·
 2010 04 951161.
 2010 03 91122·
 2010 02 561134.
 2010 01 431145.
 2009 12  411140·
 2009 11  581121·
 2009 10  441116.
 2009 09  151073·
 2009 08  51018·
 2009 07  45938·
 2009 06  60958.
 2009 05  01038.
 2009 04  891044.
 2009 03  21062·
 2009 02  671016.
 2009 01  931049·
 2008 12 171052·
 2008 11 861084.
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 2008 07 77928.
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 2008 01 34961.
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 2004 07 64765.
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 2004 05 16874.
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 2004 01 21855.
 2003 12  40878.
 2003 11  47860.
 2003 10  0866.
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 2003 08  33806.
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 2003 06  4713·
 2003 05  91786.
 2003 04  27772.
 2003 03  86813.
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 2002 12 97787.
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 2002 08 44743.
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 2002 05 10751·
 2002 04 94735.
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 2001 12  96679.
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 2001 04  85721.
 2001 03  73717.
 2001 02  54740.
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 2000 12 97698.
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 2000 01 8737·
 1999 12  86676.
 1999 11  86698.
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 1998 07 0584.
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 1998 02 88647·
 1998 01 26674.
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 1996 12 13621.
 1996 11 3604·
 1996 10 23595.
 1996 09 10603.
 1996 08 11582·
 1996 07 64540·
 1996 06 96591·
 1996 05 52655.
 1996 04 43660·
 1996 03 29639·
 1996 02 13599.
 1996 01 72597.
 1995 12  10594.
 1995 11  29607·
 1995 10  36571·
 1995 09  67578·
 1995 08  37502·
 1995 07  22460·
 1995 06  54482.
 1995 05  53560·
 1995 04  75578.
 1995 03  89552·
 1995 02  80535.
 1995 01  76543·
 1994 12 98549.
 1994 11 36558·
 1994 10 51551·
 1994 09 5571.
 1994 08 8508·
 1994 07 95463·
 1994 06 31480·
 1994 05 34543.
 1994 04 29555.
 1994 03 23583.
 1994 02 6606.
 1994 01 82600·
 1993 12  12574·
 1993 11  1515·
 1993 10  91483·
 1993 09  92548.
 1993 08  33550·
 1993 07  36488.
 1993 06  23571.
 1993 05  35559·
 1993 04  92578.
 1993 03  61575·
 1993 02  65574.
 1993 01  5531·
 1992 12 13522.
 1992 11 30502·
 1992 10 4504·
 1992 09 20509·
 1992 08 49504·
 1992 07 27450·
 1992 06 54493.
 1992 05 24534.
 1992 04 73552·
 1992 03 57526.
 1992 02 53515·
 1992 01 88512.
 1991 12  87505·
 1991 11  52516·
 1991 10  63499.
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 1991 08  15496·
 1991 07  69466·
 1991 06  73488.
 1991 05  93523.
 1991 04  9536·
 1991 03  90531·
 1991 02  94523·
 1991 01  97536·
 1990 12 43537.
 1990 11 21526·
 1990 10 66516.
 1990 09 88494.
 1990 08 19483·
 1990 07 94457·
 1990 06 51468·
 1990 05 57510.
 1990 04 60551·
 1990 03 65507·
 1990 02 37500·
 1990 01 26503.
 1989 12  18422.
 1989 11  17412.
 1989 10  37397·
 1989 09  37407.
 1989 08  69376.
 1989 07  55338·
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 1989 01  89428.
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 1988 08 2356·
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 1988 06 6290·
 1988 05 67399.
 1988 04 74395.
 1988 03 83411.
 1988 02 43383.
 1988 01 29403.
 1987 12  91416·
 1987 11  29379.
 1987 10  96386.
 1987 09  24406.
 1987 08  78385·
 1987 07  27366·
 1987 06  53368·
 1987 05  71393.
 1987 04  84394.
 1987 03  59409·
 1987 02  27424.
 1987 01  14428·
 1986 12 85438.
 1986 11 30415.
 1986 10 56411.
 1986 09 21424.
 1986 08 82358.
 1986 07 73346.
 1986 06 3384·
 1986 05 88426·
 1986 04 0418·
 1986 03 43422·
 1986 02 55438.
 1986 01 33457.
 1985 12  90411·
 1985 11  24391·
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 1985 09  1399·
 1985 08  26364·
 1985 07  21317·
 1985 06  53415.
 1985 05  61430·
 1985 04  10432.
 1985 03  66417.
 1985 02  99406.
 1985 01  6418.
 1984 12 66364.
 1984 11 16394·
 1984 10 52390.
 1984 09 56382·
 1984 08 45333·
 1984 07 53329.
 1984 06 26382.
 1984 05 55391·
 1984 04 22376·
 1984 03 82374·
 1984 02 57378·
 1984 01 72363.
 1983 12  99431·
 1983 11  36415·
 1983 10  10431·
 1983 09  2431·
 1983 08  99371·
 1983 07  71330.
 1983 06  71375·
 1983 05  63415.
 1983 04  74416·
 1983 03  69413.
 1983 02  53399·
 1983 01  0396.
 1982 12 99398·
 1982 11 37392·
 1982 10 96393·
 1982 09 81404·
 1982 08 74381.
 1982 07 5352.
 1982 06 60362.
 1982 05 2367·
 1982 04 25390.
 1982 03 32427.
 1982 02 35404.
 1982 01 80413.
 1981 12  2419.
 1981 11  98398.
 1981 10  33411·
 1981 09  61431·
 1981 08  80351.
 1981 07  11326·
 1981 06  92379.
 1981 05  13408.
 1981 04  61400.
 1981 03  1417.
 1981 02  75389.
 1981 01  30399·
 1980 12 68390.
 1980 11 25376·
 1980 10 70382.
 1980 09 32417·
 1980 08 54330.
 1980 07 66311.
 1980 06 89355·
 1980 05 63399.
 1980 04 92391·
 1980 03 29388.
 1980 02 72393.
 1980 01 91371·
 1979 12  84277·
 1979 11  47292·
 1979 10  79300.
 1979 09  12334.
 1979 08  55280.
 1979 07  75280.
 1979 06  1304.
 1979 05  44333·
 1979 04  54334.
 1979 03  96312·
 1979 02  48301.
 1979 01  31306·
 1978 12 59277.
 1978 11 17291.
 1978 10 60291.
 1978 09 42341.
 1978 08 68281.
 1978 07 68280.
 1978 06 98285.
 1978 05 73322·
 1978 04 8350.
 1978 03 7357·
 1978 02 52372·
 1978 01 40362·
 1977 12  29338.
 1977 11  15342·
 1977 10  34360.
 1977 09  90376.
 1977 08  6313·
 1977 07  98274.
 1977 06  81304·
 1977 05  91315.
 1977 04  39303.
 1977 03  90305·
 1977 02  57306·
 1977 01  37319.
 1976 12 55345.
 1976 11 45333·
 1976 10 50346·
 1976 09 47352·
 1976 08 3275·
 1976 07 46217.
 1976 06 71240·
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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, 16-19 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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