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 Series Title: Population Level: 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 762162·
 2012 03 412319.
 2012 02 92227.
 2012 01 22284·
 2011 12  632044.
 2011 11  422055·
 2011 10  882009.
 2011 09  811996.
 2011 08  801530.
 2011 07  41330·
 2011 06  311479·
 2011 05  211967.
 2011 04  761972.
 2011 03  91925·
 2011 02  491977·
 2011 01  671918·
 2010 12 271968·
 2010 11 631960.
 2010 10 821936.
 2010 09 871913.
 2010 08 321493.
 2010 07 981139·
 2010 06 921459·
 2010 05 761831·
 2010 04 181926.
 2010 03 701897·
 2010 02 671908.
 2010 01 521898·
 2009 12  351839·
 2009 11  621767·
 2009 10  191724.
 2009 09  611787·
 2009 08  581269·
 2009 07  791097·
 2009 06  881315·
 2009 05  701716.
 2009 04  881753.
 2009 03  541751.
 2009 02  351673.
 2009 01  741651·
 2008 12 491706·
 2008 11 431701·
 2008 10 481635·
 2008 09 931641·
 2008 08 931221·
 2008 07 281038.
 2008 06 411166·
 2008 05 701678·
 2008 04 951664·
 2008 03 151645·
 2008 02 521651·
 2008 01 751604·
 2007 12  551663·
 2007 11  361629·
 2007 10  421631.
 2007 09  21590.
 2007 08  981390·
 2007 07  481015·
 2007 06  11087.
 2007 05  691568·
 2007 04  751554·
 2007 03  311540.
 2007 02  401537·
 2007 01  211516.
 2006 12 621519·
 2006 11 941553.
 2006 10 991500.
 2006 09 281495·
 2006 08 581068·
 2006 07 68880·
 2006 06 39976.
 2006 05 821402·
 2006 04 891440.
 2006 03 91434·
 2006 02 491471·
 2006 01 51452.
 2005 12  61485.
 2005 11  981504·
 2005 10  421482·
 2005 09  381499·
 2005 08  841019.
 2005 07  43780.
 2005 06  55944·
 2005 05  531405.
 2005 04  231405·
 2005 03  761416·
 2005 02  511406·
 2005 01  421399·
 2004 12 481386·
 2004 11 521428·
 2004 10 181421.
 2004 09 251390·
 2004 08 11998·
 2004 07 53802·
 2004 06 701064·
 2004 05 461431.
 2004 04 861513·
 2004 03 861435·
 2004 02 431375·
 2004 01 751358.
 2003 12  741346·
 2003 11  841363.
 2003 10  21406.
 2003 09  51403.
 2003 08  01025.
 2003 07  1741.
 2003 06  331034.
 2003 05  551317·
 2003 04  141365·
 2003 03  211380·
 2003 02  501389.
 2003 01  711320.
 2002 12 931285.
 2002 11 491297.
 2002 10 911256·
 2002 09 201287·
 2002 08 36909.
 2002 07 17684.
 2002 06 18806·
 2002 05 971294·
 2002 04 691301·
 2002 03 831269.
 2002 02 191311·
 2002 01 211255·
 2001 12  421226.
 2001 11  261181.
 2001 10  81177·
 2001 09  361242·
 2001 08  31916.
 2001 07  55661.
 2001 06  21792·
 2001 05  121093.
 2001 04  351109·
 2001 03  11154.
 2001 02  231178.
 2001 01  421227·
 2000 12 811220·
 2000 11 211210.
 2000 10 01191·
 2000 09 461145·
 2000 08 18661·
 2000 07 95559·
 2000 06 67712.
 2000 05 671022·
 2000 04 231048·
 2000 03 311056·
 2000 02 601144·
 2000 01 761103·
 1999 12  951046.
 1999 11  611055.
 1999 10  431013·
 1999 09  66979·
 1999 08  61626·
 1999 07  40456·
 1999 06  3736·
 1999 05  561039·
 1999 04  69995.
 1999 03  521039.
 1999 02  531100.
 1999 01  901061.
 1998 12 961062·
 1998 11 11046.
 1998 10 32979·
 1998 09 38952·
 1998 08 42559.
 1998 07 21468.
 1998 06 2723.
 1998 05 931047.
 1998 04 331069·
 1998 03 671036·
 1998 02 511073·
 1998 01 751047·
 1997 12  181018·
 1997 11  211011.
 1997 10  92998.
 1997 09  29962·
 1997 08  74584.
 1997 07  91472·
 1997 06  63746.
 1997 05  221009.
 1997 04  0992.
 1997 03  6986.
 1997 02  26999.
 1997 01  49994.
 1996 12 23947.
 1996 11 25944·
 1996 10 70929.
 1996 09 30898·
 1996 08 92518.
 1996 07 29435.
 1996 06 7564.
 1996 05 8886·
 1996 04 82940.
 1996 03 24963·
 1996 02 76935.
 1996 01 53901.
 1995 12  95856.
 1995 11  42877.
 1995 10  39879.
 1995 09  59842.
 1995 08  55390·
 1995 07  40374.
 1995 06  85557.
 1995 05  45878.
 1995 04  14870.
 1995 03  0881.
 1995 02  25844.
 1995 01  54832·
 1994 12 46878·
 1994 11 27857.
 1994 10 98839.
 1994 09 57836.
 1994 08 51335·
 1994 07 54375·
 1994 06 67580·
 1994 05 47870·
 1994 04 56863.
 1994 03 37873·
 1994 02 20938.
 1994 01 44883·
 1993 12  10902·
 1993 11  58894·
 1993 10  70863.
 1993 09  91866·
 1993 08  89242·
 1993 07  24294.
 1993 06  54581·
 1993 05  58778·
 1993 04  94797.
 1993 03  66814·
 1993 02  35823·
 1993 01  39797.
 1992 12 49784·
 1992 11 41782·
 1992 10 2840·
 1992 09 53775·
 1992 08 5257.
 1992 07 30252·
 1992 06 66467.
 1992 05 44730·
 1992 04 38769.
 1992 03 40804·
 1992 02 67807.
 1992 01 82785·
 1991 12  48838.
 1991 11  3796·
 1991 10  67775.
 1991 09  60726·
 1991 08  59225·
 1991 07  76258.
 1991 06  54501.
 1991 05  97737.
 1991 04  24782·
 1991 03  40799·
 1991 02  40768.
 1991 01  39721·
 1990 12 17743·
 1990 11 1761.
 1990 10 64727·
 1990 09 53711.
 1990 08 38235·
 1990 07 91236·
 1990 06 89423.
 1990 05 34723·
 1990 04 13744.
 1990 03 68717.
 1990 02 2720·
 1990 01 1695.
 1989 12  92615·
 1989 11  12577·
 1989 10  16553·
 1989 09  99568.
 1989 08  51182.
 1989 07  31183.
 1989 06  69396.
 1989 05  96623·
 1989 04  90603·
 1989 03  55615.
 1989 02  25644.
 1989 01  87554.
 1988 12 34570.
 1988 11 42555·
 1988 10 70494.
 1988 09 90502·
 1988 08 34154·
 1988 07 73159.
 1988 06 19393·
 1988 05 50607.
 1988 04 65592.
 1988 03 55589.
 1988 02 8617·
 1988 01 37579·
 1987 12  28602.
 1987 11  19534·
 1987 10  1524·
 1987 09  43458.
 1987 08  48118.
 1987 07  22179.
 1987 06  85362·
 1987 05  89560.
 1987 04  75618.
 1987 03  46639.
 1987 02  74663·
 1987 01  18598.
 1986 12 84590.
 1986 11 98561·
 1986 10 5592·
 1986 09 0590·
 1986 08 77157.
 1986 07 8187·
 1986 06 41369.
 1986 05 28555·
 1986 04 79543·
 1986 03 34566.
 1986 02 70569·
 1986 01 22531.
 1985 12  39539.
 1985 11  58503.
 1985 10  6518·
 1985 09  27529·
 1985 08  34107·
 1985 07  85129.
 1985 06  85353·
 1985 05  10534·
 1985 04  63568·
 1985 03  48536.
 1985 02  71538·
 1985 01  67540.
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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: 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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