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 Series Title: Labor Force Participation Rate: Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3266·2
 2012 03 1166·1
 2012 02 9766·4
 2012 01 9166.0
 2011 12  2166.8
 2011 11  1566·8
 2011 10  567·1
 2011 09  5166·6
 2011 08  9566.7
 2011 07  3666.5
 2011 06  3366.5
 2011 05  2966·0
 2011 04  566·2
 2011 03  5666.1
 2011 02  9365·7
 2011 01  6866·8
 2010 12 2567.1
 2010 11 8267.3
 2010 10 2467.0
 2010 09 3867·6
 2010 08 5767.5
 2010 07 4567.9
 2010 06 8867.5
 2010 05 3267·4
 2010 04 2667·3
 2010 03 167.8
 2010 02 7467.7
 2010 01 7167·7
 2009 12  8167·3
 2009 11  3368·0
 2009 10  9367.7
 2009 09  9867·7
 2009 08  9967.9
 2009 07  4768.9
 2009 06  8568·2
 2009 05  8268·1
 2009 04  8068·3
 2009 03  7468·1
 2009 02  1167·8
 2009 01  1767.5
 2008 12 4968·1
 2008 11 7268.0
 2008 10 6168.4
 2008 09 2368.5
 2008 08 5769·0
 2008 07 2269.0
 2008 06 4669.1
 2008 05 4469·1
 2008 04 7968·6
 2008 03 3168.4
 2008 02 468·2
 2008 01 4868.1
 2007 12  1568.7
 2007 11  3069.0
 2007 10  9968.8
 2007 09  3168·8
 2007 08  9069·3
 2007 07  7669.2
 2007 06  1868·8
 2007 05  1068.7
 2007 04  5668.8
 2007 03  5068·7
 2007 02  7568·4
 2007 01  3168·8
 2006 12 8869·3
 2006 11 6069·0
 2006 10 668·7
 2006 09 6268·0
 2006 08 8568.4
 2006 07 3669·0
 2006 06 7669.5
 2006 05 9868.7
 2006 04 7468·8
 2006 03 3668.5
 2006 02 7268·5
 2006 01 5768·4
 2005 12  568·5
 2005 11  4168·6
 2005 10  668.2
 2005 09  8467.8
 2005 08  5368.3
 2005 07  5768.3
 2005 06  1768.3
 2005 05  4868.1
 2005 04  1868·1
 2005 03  1767.8
 2005 02  6867·5
 2005 01  4466.9
 2004 12 2668·2
 2004 11 7768.5
 2004 10 4668·8
 2004 09 8968.5
 2004 08 2769.0
 2004 07 1969·5
 2004 06 6469.1
 2004 05 2968.8
 2004 04 9768.4
 2004 03 4968·6
 2004 02 6167.4
 2004 01 3267.8
 2003 12  3667·7
 2003 11  9968·0
 2003 10  9967.9
 2003 09  9367.7
 2003 08  7068.0
 2003 07  2668·3
 2003 06  6668·8
 2003 05  3168·1
 2003 04  4868.9
 2003 03  1168.6
 2003 02  7568.8
 2003 01  8968·7
 2002 12 4768·6
 2002 11 6068.7
 2002 10 6369·0
 2002 09 3869.1
 2002 08 6669·2
 2002 07 769.7
 2002 06 9569·3
 2002 05 7168·7
 2002 04 3269.4
 2002 03 669.1
 2002 02 5769.4
 2002 01 769·0
 2001 12  9469·5
 2001 11  4069·0
 2001 10  6269.9
 2001 09  9169·2
 2001 08  2769.3
 2001 07  1669.4
 2001 06  4969·0
 2001 05  9169·1
 2001 04  3369·8
 2001 03  6570·4
 2001 02  8069.9
 2001 01  369.4
 2000 12 3669.9
 2000 11 4369·5
 2000 10 4369·6
 2000 09 4469.9
 2000 08 8869·4
 2000 07 3369·3
 2000 06 5270.2
 2000 05 5969·6
 2000 04 6269·8
 2000 03 4170·1
 2000 02 4369·7
 2000 01 1769.7
 1999 12  6168·0
 1999 11  9867.6
 1999 10  8067·8
 1999 09  1367·7
 1999 08  968·2
 1999 07  6268.0
 1999 06  5168·0
 1999 05  6567·3
 1999 04  5667.2
 1999 03  1367.8
 1999 02  6867·7
 1999 01  1867.4
 1998 12 7867·7
 1998 11 5967.4
 1998 10 7068.2
 1998 09 4068·3
 1998 08 7568.2
 1998 07 3268·4
 1998 06 1968.6
 1998 05 2768·3
 1998 04 7367·8
 1998 03 8768.2
 1998 02 467.5
 1998 01 9666.9
 1997 12  2367·8
 1997 11  767.9
 1997 10  3768.2
 1997 09  9367·8
 1997 08  9868.7
 1997 07  9869·1
 1997 06  5668·2
 1997 05  8667.4
 1997 04  166.5
 1997 03  9167.7
 1997 02  2367·4
 1997 01  6968·0
 1996 12 5667.4
 1996 11 4468.1
 1996 10 2867.6
 1996 09 6266.7
 1996 08 1467.3
 1996 07 3867·0
 1996 06 8266·0
 1996 05 965.3
 1996 04 4965.1
 1996 03 8065·8
 1996 02 2465.9
 1996 01 7865.5
 1995 12  6365.5
 1995 11  165.6
 1995 10  1766·5
 1995 09  6566.4
 1995 08  8166·6
 1995 07  5867·2
 1995 06  4866·3
 1995 05  8865·4
 1995 04  5365.3
 1995 03  3365.4
 1995 02  3064.9
 1995 01  9165.0
 1994 12 5565·7
 1994 11 3266.6
 1994 10 166.7
 1994 09 4465.8
 1994 08 8766.3
 1994 07 8667.2
 1994 06 2566.3
 1994 05 4066.2
 1994 04 7465.7
 1994 03 5466·3
 1994 02 8865.5
 1994 01 9965.0
 1993 12  6766·2
 1993 11  1566·1
 1993 10  566.6
 1993 09  6466.1
 1993 08  4166·4
 1993 07  7767·4
 1993 06  1266.6
 1993 05  665.7
 1993 04  9765·5
 1993 03  7266.6
 1993 02  7365.8
 1993 01  1865·6
 1992 12 6066.2
 1992 11 5666.1
 1992 10 7566·4
 1992 09 1967.0
 1992 08 8067.5
 1992 07 1168.5
 1992 06 3267.9
 1992 05 5467·0
 1992 04 3366·4
 1992 03 4367·2
 1992 02 8166·2
 1992 01 9165.7
 1991 12  1865·5
 1991 11  8466·1
 1991 10  8566·6
 1991 09  2566.6
 1991 08  6367·4
 1991 07  9068·4
 1991 06  3267·4
 1991 05  7566·4
 1991 04  1666.3
 1991 03  4465.9
 1991 02  3565.4
 1991 01  8465·7
 1990 12 5465.6
 1990 11 5266·1
 1990 10 3366·6
 1990 09 2367·3
 1990 08 7669.1
 1990 07 4569·2
 1990 06 8668·8
 1990 05 8568.2
 1990 04 967·5
 1990 03 8167·3
 1990 02 8566·6
 1990 01 9066·6
 1989 12  267.1
 1989 11  4167.8
 1989 10  4167.0
 1989 09  8167.2
 1989 08  3168·5
 1989 07  3169·2
 1989 06  9368.3
 1989 05  2868.0
 1989 04  9667·3
 1989 03  8366.7
 1989 02  367.1
 1989 01  2567.2
 1988 12 2266·9
 1988 11 5468.2
 1988 10 5967.7
 1988 09 9067·7
 1988 08 6167·9
 1988 07 2568.4
 1988 06 7468·6
 1988 05 6966.5
 1988 04 8766.3
 1988 03 366.1
 1988 02 8667·7
 1988 01 3066·8
 1987 12  266·4
 1987 11  2067.4
 1987 10  5966.9
 1987 09  6766·3
 1987 08  2967·2
 1987 07  3366·6
 1987 06  7966.7
 1987 05  066·4
 1987 04  2065·9
 1987 03  2265·4
 1987 02  5965.6
 1987 01  7365.7
 1986 12 4965·7
 1986 11 9566·0
 1986 10 3866.1
 1986 09 5466.0
 1986 08 1966.7
 1986 07 8467.2
 1986 06 7966·5
 1986 05 3964.5
 1986 04 5364·5
 1986 03 4464·4
 1986 02 6964.2
 1986 01 4563·3
 1985 12  263·5
 1985 11  5864·6
 1985 10  2165·5
 1985 09  1865.6
 1985 08  4266·3
 1985 07  3266.0
 1985 06  7465.1
 1985 05  2663·7
 1985 04  7263.8
 1985 03  9764.2
 1985 02  8963·6
 1985 01  6463.3
 1984 12 1965.2
 1984 11 1265.2
 1984 10 5565.3
 1984 09 5065·3
 1984 08 3366·1
 1984 07 5666.3
 1984 06 8565.9
 1984 05 2964.4
 1984 04 8964·0
 1984 03 3764·4
 1984 02 1763·0
 1984 01 7063·8
 1983 12  8763.2
 1983 11  8764·0
 1983 10  1363.5
 1983 09  6764.0
 1983 08  5465·2
 1983 07  6164.8
 1983 06  6264.9
 1983 05  3963·2
 1983 04  3863·4
 1983 03  4262·8
 1983 02  7663·1
 1983 01  3163.0
 1982 12 1762·7
 1982 11 3763·3
 1982 10 9463·4
 1982 09 1162·9
 1982 08 8964·2
 1982 07 7664·3
 1982 06 7764.0
 1982 05 7464.5
 1982 04 8163.9
 1982 03 1863.9
 1982 02 1563.8
 1982 01 3962·9
 1981 12  4263.0
 1981 11  4264·3
 1981 10  2063.9
 1981 09  5063·1
 1981 08  4964·7
 1981 07  5665·5
 1981 06  2965.1
 1981 05  7564·6
 1981 04  264·0
 1981 03  9263.3
 1981 02  664·5
 1981 01  1063·7
 1980 12 2563.3
 1980 11 664.0
 1980 10 3964·0
 1980 09 7363·2
 1980 08 7065·0
 1980 07 7965.7
 1980 06 4064.6
 1980 05 963.8
 1980 04 1263·6
 1980 03 1963·7
 1980 02 4763·4
 1980 01 8664.2
 1979 12  5164·3
 1979 11  5763.6
 1979 10  2463·9
 1979 09  063.2
 1979 08  1364.1
 1979 07  5064.6
 1979 06  5863·8
 1979 05  6862·2
 1979 04  4762·9
 1979 03  8063·1
 1979 02  6263·8
 1979 01  3563.5
 1978 12 3064·3
 1978 11 5264·4
 1978 10 7465·0
 1978 09 7062·9
 1978 08 6264·1
 1978 07 9964·0
 1978 06 5763·7
 1978 05 6862.0
 1978 04 6861.2
 1978 03 7762·0
 1978 02 9860.6
 1978 01 4760·9
 1977 12  9861.8
 1977 11  6861.8
 1977 10  1161.7
 1977 09  5161·9
 1977 08  2862·5
 1977 07  7863.1
 1977 06  3462.8
 1977 05  5160.5
 1977 04  5960.5
 1977 03  4060.4
 1977 02  2960.6
 1977 01  3959.9
 1976 12 1561.3
 1976 11 1060.4
 1976 10 8460.9
 1976 09 3661·2
 1976 08 4861.6
 1976 07 6963·0
 1976 06 1361·9
 1976 05 8459.4
 1976 04 3260·2
 1976 03 2459·2
 1976 02 5259·9
 1976 01 5459.7
 1975 12  6860.0
 1975 11  759·4
 1975 10  6660·9
 1975 09  3961·2
 1975 08  8162·6
 1975 07  7562·5
 1975 06  4161.5
 1975 05  5961·1
 1975 04  2260.3
 1975 03  860·3
 1975 02  9159.5
 1975 01  5860.2
 1974 12 6561·0
 1974 11 1560·5
 1974 10 5460.4
 1974 09 561.1
 1974 08 1362.5
 1974 07 2564·8
 1974 06 9263.6
 1974 05 9361·3
 1974 04 8960.5
 1974 03 9760·0
 1974 02 9459.0
 1974 01 4358·9
 1973 12  4460·1
 1973 11  1160·6
 1973 10  7260·3
 1973 09  9860.0
 1973 08  5460·2
 1973 07  7461·4
 1973 06  6461·3
 1973 05  2859.1
 1973 04  1959·5
 1973 03  1859·3
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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: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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