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 Series Title: Population Level: Not Enrolled in School, 16-24 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 471759·
 2012 03 571595.
 2012 02 31680·
 2012 01 621616.
 2011 12  361505.
 2011 11  291487.
 2011 10  481526.
 2011 09  281532·
 2011 08  851990·
 2011 07  942183.
 2011 06  882026.
 2011 05  861531.
 2011 04  441519·
 2011 03  321559.
 2011 02  361501·
 2011 01  811552.
 2010 12 901514.
 2010 11 511515.
 2010 10 291531.
 2010 09 821546·
 2010 08 211959·
 2010 07 822305·
 2010 06 301978·
 2010 05 821599.
 2010 04 641497·
 2010 03 821519.
 2010 02 281501·
 2010 01 21505·
 2009 12  691484·
 2009 11  321548·
 2009 10  341584·
 2009 09  851512.
 2009 08  122022.
 2009 07  402185.
 2009 06  881959.
 2009 05  01550·
 2009 04  921506·
 2009 03  361500.
 2009 02  511571·
 2009 01  411585·
 2008 12 361560.
 2008 11 771556.
 2008 10 131613·
 2008 09 281599·
 2008 08 932009·
 2008 07 452184.
 2008 06 852048.
 2008 05 41527·
 2008 04 401532·
 2008 03 471543·
 2008 02 51529·
 2008 01 391568·
 2007 12  751536.
 2007 11  151563.
 2007 10  371553·
 2007 09  281587.
 2007 08  261779.
 2007 07  42147.
 2007 06  692068·
 2007 05  881580.
 2007 04  411586·
 2007 03  971594.
 2007 02  121591·
 2007 01  651606.
 2006 12 971573.
 2006 11 991532·
 2006 10 61579·
 2006 09 271578.
 2006 08 951998.
 2006 07 442180·
 2006 06 132077.
 2006 05 681644.
 2006 04 581599.
 2006 03 871599·
 2006 02 211555.
 2006 01 91568.
 2005 12  381550.
 2005 11  111525.
 2005 10  421541·
 2005 09  921518.
 2005 08  101992.
 2005 07  212225.
 2005 06  152056·
 2005 05  871591.
 2005 04  751586·
 2005 03  491572.
 2005 02  31578·
 2005 01  881582.
 2004 12 581598·
 2004 11 521551.
 2004 10 931553·
 2004 09 141580·
 2004 08 91965.
 2004 07 132157.
 2004 06 991890.
 2004 05 91519·
 2004 04 41433.
 2004 03 361506·
 2004 02 581560.
 2004 01 441573·
 2003 12  421552.
 2003 11  541530·
 2003 10  331482·
 2003 09  101479·
 2003 08  501852·
 2003 07  242131·
 2003 06  121832·
 2003 05  291543.
 2003 04  791490.
 2003 03  271471·
 2003 02  81458.
 2003 01  431523.
 2002 12 21522·
 2002 11 711486.
 2002 10 591580·
 2002 09 231572.
 2002 08 211938.
 2002 07 852134.
 2002 06 271979·
 2002 05 621517·
 2002 04 611538.
 2002 03 281586.
 2002 02 11531.
 2002 01 791636.
 2001 12  721658·
 2001 11  801645.
 2001 10  941633.
 2001 09  191508.
 2001 08  301836.
 2001 07  492159.
 2001 06  431987.
 2001 05  501646.
 2001 04  361618·
 2001 03  661617·
 2001 02  111489.
 2001 01  671474.
 2000 12 141492.
 2000 11 881508.
 2000 10 861535.
 2000 09 891576.
 2000 08 152047.
 2000 07 962135·
 2000 06 821968·
 2000 05 601592.
 2000 04 141550.
 2000 03 981545.
 2000 02 351417·
 2000 01 491496·
 1999 12  121320·
 1999 11  231373·
 1999 10  91443·
 1999 09  501424.
 1999 08  341823.
 1999 07  302000·
 1999 06  921758·
 1999 05  831377·
 1999 04  311389·
 1999 03  01363·
 1999 02  971244·
 1999 01  921367.
 1998 12 781280.
 1998 11 401291.
 1998 10 611374.
 1998 09 451369·
 1998 08 751805.
 1998 07 811907.
 1998 06 471637·
 1998 05 381234·
 1998 04 481186.
 1998 03 791236·
 1998 02 441155.
 1998 01 881218.
 1997 12  471224·
 1997 11  171168.
 1997 10  641191.
 1997 09  411229·
 1997 08  471615.
 1997 07  11749.
 1997 06  441449.
 1997 05  641155·
 1997 04  491176·
 1997 03  631155·
 1997 02  491156·
 1997 01  541200.
 1996 12 791209.
 1996 11 601214·
 1996 10 661234·
 1996 09 271229.
 1996 08 861626.
 1996 07 721714·
 1996 06 81583.
 1996 05 301277.
 1996 04 461215·
 1996 03 71222.
 1996 02 121255.
 1996 01 311264.
 1995 12  601276·
 1995 11  971288·
 1995 10  411266.
 1995 09  231296.
 1995 08  521769·
 1995 07  971772.
 1995 06  841540·
 1995 05  271207·
 1995 04  741183·
 1995 03  901173.
 1995 02  541203·
 1995 01  861250·
 1994 12 11187·
 1994 11 821219.
 1994 10 871219·
 1994 09 691223·
 1994 08 321694·
 1994 07 61684·
 1994 06 481520·
 1994 05 711219·
 1994 04 941173.
 1994 03 161190.
 1994 02 231122·
 1994 01 111194.
 1993 12  361173·
 1993 11  961190.
 1993 10  271235·
 1993 09  331240·
 1993 08  351823·
 1993 07  521719·
 1993 06  961428.
 1993 05  51205·
 1993 04  901229·
 1993 03  151186.
 1993 02  941190·
 1993 01  231248·
 1992 12 281235·
 1992 11 421216.
 1992 10 81150.
 1992 09 51226·
 1992 08 971712·
 1992 07 151716.
 1992 06 521485·
 1992 05 951228·
 1992 04 751211·
 1992 03 401171·
 1992 02 631158·
 1992 01 631156.
 1991 12  601104·
 1991 11  501180.
 1991 10  51190·
 1991 09  31201.
 1991 08  791712.
 1991 07  01677·
 1991 06  641461·
 1991 05  341241·
 1991 04  821179.
 1991 03  721165.
 1991 02  541188·
 1991 01  991180.
 1990 12 451181·
 1990 11 731168·
 1990 10 141233·
 1990 09 691249·
 1990 08 671721·
 1990 07 351705.
 1990 06 51505.
 1990 05 371181·
 1990 04 741184·
 1990 03 141167·
 1990 02 151208.
 1990 01 231238.
 1989 12  161024.
 1989 11  921094.
 1989 10  591112.
 1989 09  701117·
 1989 08  701481·
 1989 07  751471·
 1989 06  721235.
 1989 05  471011.
 1989 04  341004.
 1989 03  96982.
 1989 02  19943.
 1989 01  501000.
 1988 12 36989·
 1988 11 101018.
 1988 10 881089·
 1988 09 961097·
 1988 08 241498.
 1988 07 01511·
 1988 06 901239.
 1988 05 311056.
 1988 04 751025·
 1988 03 711020.
 1988 02 64998·
 1988 01 231045.
 1987 12  891049·
 1987 11  571070.
 1987 10  741032.
 1987 09  661129·
 1987 08  911477·
 1987 07  131399·
 1987 06  61204.
 1987 05  801009.
 1987 04  31956.
 1987 03  20957.
 1987 02  73926.
 1987 01  8976·
 1986 12 85996·
 1986 11 87984.
 1986 10 15940.
 1986 09 20911.
 1986 08 541336·
 1986 07 431343.
 1986 06 931163.
 1986 05 11998.
 1986 04 631008·
 1986 03 47993·
 1986 02 95990.
 1986 01 981003.
 1985 12  62895.
 1985 11  79934.
 1985 10  34900·
 1985 09  27931·
 1985 08  261348·
 1985 07  461354.
 1985 06  481141·
 1985 05  66978·
 1985 04  56913.
 1985 03  81907.
 1985 02  1912·
 1985 01  9899·
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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: Population Level: Not Enrolled in School, 16-24 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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