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 Series Title: Labor Force Participation Rate: Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1076·0
 2012 03 2975·5
 2012 02 7275.8
 2012 01 8475·8
 2011 12  3576·9
 2011 11  076·7
 2011 10  5176.8
 2011 09  9576·4
 2011 08  1576.7
 2011 07  5677·2
 2011 06  1976.6
 2011 05  9275·8
 2011 04  9975·9
 2011 03  8076·2
 2011 02  8875·9
 2011 01  1976·5
 2010 12 6277.3
 2010 11 7877.1
 2010 10 9677·0
 2010 09 4678·0
 2010 08 678·1
 2010 07 8278.9
 2010 06 678.3
 2010 05 6677·6
 2010 04 5577.6
 2010 03 4878.2
 2010 02 678·1
 2010 01 9977.7
 2009 12  6077·8
 2009 11  5978·5
 2009 10  978.7
 2009 09  8978.6
 2009 08  9579.2
 2009 07  2180.1
 2009 06  5378·9
 2009 05  579.1
 2009 04  6378.9
 2009 03  6578.7
 2009 02  178·5
 2009 01  4178.3
 2008 12 8779.4
 2008 11 4879·7
 2008 10 4080.3
 2008 09 1780·4
 2008 08 1980.4
 2008 07 5180·8
 2008 06 8380·9
 2008 05 7580.7
 2008 04 3480·1
 2008 03 8380·6
 2008 02 6979.8
 2008 01 8779·7
 2007 12  3180·6
 2007 11  7380·5
 2007 10  6080·3
 2007 09  4580·1
 2007 08  3780·4
 2007 07  7980·7
 2007 06  4480.6
 2007 05  6980·6
 2007 04  381.0
 2007 03  8280.9
 2007 02  3479.9
 2007 01  380.6
 2006 12 281.4
 2006 11 8981.0
 2006 10 6880.7
 2006 09 1680·0
 2006 08 3680·3
 2006 07 3180·9
 2006 06 881·4
 2006 05 280.4
 2006 04 3080·7
 2006 03 6680·9
 2006 02 4480·6
 2006 01 8180·3
 2005 12  3580·5
 2005 11  7580·5
 2005 10  8680.2
 2005 09  9679.9
 2005 08  2680·5
 2005 07  6480.4
 2005 06  7580.5
 2005 05  1780.1
 2005 04  280·2
 2005 03  6680·2
 2005 02  7179·2
 2005 01  3878·8
 2004 12 9180.0
 2004 11 3681·0
 2004 10 6480.8
 2004 09 7880·2
 2004 08 4180·9
 2004 07 5681·7
 2004 06 6680.7
 2004 05 8180.6
 2004 04 2980·0
 2004 03 3479.8
 2004 02 1579.1
 2004 01 1679.7
 2003 12  5580·0
 2003 11  080·1
 2003 10  7479.7
 2003 09  7879.9
 2003 08  4479·8
 2003 07  1280·0
 2003 06  3180·4
 2003 05  8579·8
 2003 04  4780.5
 2003 03  5180·0
 2003 02  9880·5
 2003 01  8279·9
 2002 12 3880·0
 2002 11 2380·4
 2002 10 1480.4
 2002 09 3880.3
 2002 08 1980·7
 2002 07 6081.1
 2002 06 4180.6
 2002 05 4679·8
 2002 04 1580·2
 2002 03 2079.8
 2002 02 6879·9
 2002 01 2779·5
 2001 12  7680·4
 2001 11  8380·1
 2001 10  781.0
 2001 09  2480.8
 2001 08  7780.5
 2001 07  5681.5
 2001 06  9680·9
 2001 05  680·7
 2001 04  2082·1
 2001 03  7181·7
 2001 02  9881·1
 2001 01  6880·9
 2000 12 2881.3
 2000 11 8580·1
 2000 10 181·0
 2000 09 2981.0
 2000 08 5481·7
 2000 07 7882·1
 2000 06 1882.7
 2000 05 3281.4
 2000 04 7182·1
 2000 03 5881.8
 2000 02 8781.7
 2000 01 4781·3
 1999 12  8179.9
 1999 11  5779.5
 1999 10  7079.9
 1999 09  6879.3
 1999 08  980·6
 1999 07  3180.5
 1999 06  5580·1
 1999 05  1579·5
 1999 04  679.6
 1999 03  6179·3
 1999 02  5679·5
 1999 01  3179.7
 1998 12 4679.1
 1998 11 5579.7
 1998 10 1079·9
 1998 09 8579.4
 1998 08 3080·2
 1998 07 4480.5
 1998 06 8080.2
 1998 05 7280·4
 1998 04 8380·0
 1998 03 8479·8
 1998 02 5579.5
 1998 01 1179.4
 1997 12  5779·8
 1997 11  5880.5
 1997 10  4680·5
 1997 09  4679·6
 1997 08  2580·9
 1997 07  7181.1
 1997 06  9281.1
 1997 05  4679·8
 1997 04  9079·4
 1997 03  5680.2
 1997 02  5679·1
 1997 01  579·7
 1996 12 7579.7
 1996 11 6980.2
 1996 10 2580·6
 1996 09 4379.2
 1996 08 3280.4
 1996 07 9280.8
 1996 06 1380·0
 1996 05 379.0
 1996 04 3578.3
 1996 03 3179·2
 1996 02 5779·2
 1996 01 5478·7
 1995 12  8678.6
 1995 11  1878.0
 1995 10  2179.1
 1995 09  9179.0
 1995 08  980·2
 1995 07  1181.2
 1995 06  9280·2
 1995 05  3479·4
 1995 04  5578·4
 1995 03  8978·5
 1995 02  8277·7
 1995 01  2578·5
 1994 12 078.6
 1994 11 6079·5
 1994 10 3179·5
 1994 09 3578·3
 1994 08 4379.4
 1994 07 5780.8
 1994 06 179.8
 1994 05 5679.2
 1994 04 1178.6
 1994 03 3479.3
 1994 02 7978·6
 1994 01 1079.0
 1993 12  5380.0
 1993 11  7479.6
 1993 10  7980·3
 1993 09  3980·7
 1993 08  4580·9
 1993 07  8481·9
 1993 06  3880·7
 1993 05  1279·1
 1993 04  8778·9
 1993 03  9580·4
 1993 02  2080·2
 1993 01  2579·5
 1992 12 680.6
 1992 11 6480·2
 1992 10 1280·9
 1992 09 9581·5
 1992 08 5081.5
 1992 07 7282.4
 1992 06 2781.7
 1992 05 6880·5
 1992 04 9579.6
 1992 03 2780·7
 1992 02 379.5
 1992 01 1278·8
 1991 12  4378·7
 1991 11  5980.2
 1991 10  380·5
 1991 09  2281·0
 1991 08  1881.6
 1991 07  2682·5
 1991 06  1581.5
 1991 05  1680·2
 1991 04  7080·4
 1991 03  979·2
 1991 02  5278.7
 1991 01  3979·2
 1990 12 7679.7
 1990 11 1480·8
 1990 10 5281.3
 1990 09 6081.8
 1990 08 3584.0
 1990 07 7483.3
 1990 06 7781.9
 1990 05 7382.0
 1990 04 7381.2
 1990 03 4480.8
 1990 02 1580·1
 1990 01 9779.9
 1989 12  4081.3
 1989 11  881.5
 1989 10  8082·5
 1989 09  7682.1
 1989 08  1183.7
 1989 07  7083.7
 1989 06  882·8
 1989 05  8081·6
 1989 04  8880·5
 1989 03  6481.0
 1989 02  6481·4
 1989 01  281.5
 1988 12 9581·9
 1988 11 4582·8
 1988 10 3582·0
 1988 09 6282·5
 1988 08 8383·0
 1988 07 9583·4
 1988 06 3482.8
 1988 05 480·9
 1988 04 2780.9
 1988 03 2180·5
 1988 02 9881.2
 1988 01 9780·9
 1987 12  2880·9
 1987 11  5481.8
 1987 10  9281·0
 1987 09  3580.8
 1987 08  1181.9
 1987 07  5281·6
 1987 06  181.2
 1987 05  3780.9
 1987 04  2679·8
 1987 03  9580.4
 1987 02  4080·7
 1987 01  4881·7
 1986 12 4881.1
 1986 11 9181·6
 1986 10 4780.7
 1986 09 3781·0
 1986 08 7982·2
 1986 07 7082·9
 1986 06 8381·8
 1986 05 9780·6
 1986 04 4480·7
 1986 03 9181.1
 1986 02 3880.2
 1986 01 4878.6
 1985 12  9279.0
 1985 11  3380.0
 1985 10  2480·9
 1985 09  3380.9
 1985 08  9982.9
 1985 07  582·7
 1985 06  7982·2
 1985 05  2379·9
 1985 04  6779·2
 1985 03  3779·3
 1985 02  6578.3
 1985 01  1278.6
 1984 12 1980.2
 1984 11 8680.5
 1984 10 7180·6
 1984 09 1880·5
 1984 08 782.2
 1984 07 3482.3
 1984 06 982.2
 1984 05 8580.3
 1984 04 680.1
 1984 03 8879.9
 1984 02 1979.0
 1984 01 8379·2
 1983 12  1679.0
 1983 11  7980.0
 1983 10  6179·9
 1983 09  680·1
 1983 08  6281.8
 1983 07  6381·1
 1983 06  2481·9
 1983 05  7280·1
 1983 04  9680·2
 1983 03  2379.7
 1983 02  2280.2
 1983 01  2779·5
 1982 12 9278·7
 1982 11 6579.2
 1982 10 9278.8
 1982 09 3978·3
 1982 08 5180·5
 1982 07 2180.0
 1982 06 9680·0
 1982 05 380·2
 1982 04 9880.0
 1982 03 4781.0
 1982 02 2480.5
 1982 01 3779·7
 1981 12  8479.4
 1981 11  2580·6
 1981 10  8779·7
 1981 09  8679.5
 1981 08  8481·2
 1981 07  6281·7
 1981 06  2382·4
 1981 05  1881·2
 1981 04  9880.4
 1981 03  8980.0
 1981 02  9681·1
 1981 01  2980.3
 1980 12 5279·8
 1980 11 6380.7
 1980 10 9480·9
 1980 09 3781.1
 1980 08 9682·8
 1980 07 6683.9
 1980 06 2882.4
 1980 05 8681·4
 1980 04 681·0
 1980 03 380.7
 1980 02 3880.7
 1980 01 4581.7
 1979 12  8181·5
 1979 11  880.7
 1979 10  8681.7
 1979 09  980.5
 1979 08  4882·7
 1979 07  3683·6
 1979 06  6081.9
 1979 05  9680·1
 1979 04  5780·4
 1979 03  6980.4
 1979 02  7280.9
 1979 01  5181·2
 1978 12 8381·3
 1978 11 1381.4
 1978 10 6181.7
 1978 09 4480·5
 1978 08 2683.3
 1978 07 283·0
 1978 06 9082.5
 1978 05 6780·2
 1978 04 1278.8
 1978 03 9080·5
 1978 02 4679·4
 1978 01 4079.7
 1977 12  9280·9
 1977 11  6081·0
 1977 10  4380·8
 1977 09  880·3
 1977 08  4081.7
 1977 07  1882·3
 1977 06  1882·7
 1977 05  4079.3
 1977 04  5779.4
 1977 03  9680·2
 1977 02  3480.4
 1977 01  2979.9
 1976 12 6980·8
 1976 11 5179·1
 1976 10 7979·8
 1976 09 9579·4
 1976 08 2681.2
 1976 07 6482·9
 1976 06 6680·3
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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: Labor Force Participation Rate: Hispanic or Latino Men: 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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