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 Series Title: Population Level: 55-59 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 861020·
 2012 03 641048·
 2012 02 371072.
 2012 01 11084·
 2011 12  771004·
 2011 11  87986.
 2011 10  56968.
 2011 09  39935.
 2011 08  71961·
 2011 07  45907.
 2011 06  14922·
 2011 05  13904·
 2011 04  20894.
 2011 03  22891·
 2011 02  22882.
 2011 01  68959.
 2010 12 98986·
 2010 11 22980.
 2010 10 20932.
 2010 09 72944·
 2010 08 7924.
 2010 07 78940·
 2010 06 70937.
 2010 05 20909·
 2010 04 70933.
 2010 03 47928·
 2010 02 60926·
 2010 01 30932.
 2009 12  40941·
 2009 11  10916·
 2009 10  3898.
 2009 09  48881.
 2009 08  91873.
 2009 07  74950.
 2009 06  37960.
 2009 05  41960.
 2009 04  23945.
 2009 03  70907·
 2009 02  24889·
 2009 01  4876·
 2008 12 62885·
 2008 11 56867.
 2008 10 53868·
 2008 09 57862·
 2008 08 59847·
 2008 07 12838·
 2008 06 36842·
 2008 05 43833.
 2008 04 88815.
 2008 03 45793·
 2008 02 12776·
 2008 01 32833.
 2007 12  51817.
 2007 11  88862·
 2007 10  43863.
 2007 09  18833.
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 2007 07  96814.
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 2006 05 84751.
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 2005 11  54700.
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 2005 04  40692.
 2005 03  0674·
 2005 02  73662.
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 2004 12 44666.
 2004 11 72668.
 2004 10 56657·
 2004 09 47682.
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 2004 05 77710·
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 2004 03 25691.
 2004 02 37677.
 2004 01 90661·
 2003 12  52638·
 2003 11  44613.
 2003 10  35606·
 2003 09  79647·
 2003 08  56633.
 2003 07  58661.
 2003 06  82665.
 2003 05  63620·
 2003 04  24619·
 2003 03  49616.
 2003 02  89623·
 2003 01  87621·
 2002 12 30620·
 2002 11 23557·
 2002 10 95533·
 2002 09 20619·
 2002 08 76624·
 2002 07 13648.
 2002 06 62664·
 2002 05 56604·
 2002 04 86599·
 2002 03 75561.
 2002 02 78569·
 2002 01 14581·
 2001 12  12611·
 2001 11  90577·
 2001 10  57555·
 2001 09  39606.
 2001 08  28586·
 2001 07  66588·
 2001 06  36575·
 2001 05  98542.
 2001 04  36494·
 2001 03  33520·
 2001 02  78525·
 2001 01  88525·
 2000 12 59566·
 2000 11 49546·
 2000 10 71549.
 2000 09 25546.
 2000 08 50503.
 2000 07 95496·
 2000 06 28501·
 2000 05 56490.
 2000 04 82519.
 2000 03 78522.
 2000 02 86508·
 2000 01 49498·
 1993 12  57411·
 1993 11  29403·
 1993 10  9390·
 1993 09  97383.
 1993 08  0383.
 1993 07  5379.
 1993 06  84390.
 1993 05  21377·
 1993 04  61375.
 1993 03  88387·
 1993 02  25399·
 1993 01  65401.
 1992 12 16391·
 1992 11 84403·
 1992 10 69377·
 1992 09 96376·
 1992 08 65371.
 1992 07 25370.
 1992 06 79362.
 1992 05 11374·
 1992 04 33368.
 1992 03 67346·
 1992 02 43384·
 1992 01 27357·
 1991 12  71360·
 1991 11  93353·
 1991 10  74330.
 1991 09  89345·
 1991 08  55356·
 1991 07  9369.
 1991 06  10356·
 1991 05  66347·
 1991 04  84357.
 1991 03  46369·
 1991 02  14361·
 1991 01  53377·
 1990 12 84380.
 1990 11 62372.
 1990 10 73375.
 1990 09 68377.
 1990 08 6387.
 1990 07 37393·
 1990 06 1389.
 1990 05 55382.
 1990 04 24382·
 1990 03 78372.
 1990 02 35344·
 1990 01 84361·
 1989 12  39339·
 1989 11  18356.
 1989 10  38339·
 1989 09  48331.
 1989 08  78346·
 1989 07  13366.
 1989 06  99374·
 1989 05  68348.
 1989 04  89337.
 1989 03  43331.
 1989 02  29337·
 1989 01  87336·
 1988 12 48332.
 1988 11 17326·
 1988 10 68340·
 1988 09 74333.
 1988 08 56356.
 1988 07 66344.
 1988 06 77324·
 1988 05 23329.
 1988 04 39331.
 1988 03 45336.
 1988 02 45338.
 1988 01 53376·
 1987 12  46360.
 1987 11  38364·
 1987 10  85359·
 1987 09  10353·
 1987 08  53337·
 1987 07  50340.
 1987 06  34351·
 1987 05  61332.
 1987 04  60318·
 1987 03  13309·
 1987 02  56313.
 1987 01  1299·
 1986 12 93322.
 1986 11 85314·
 1986 10 38304·
 1986 09 49310.
 1986 08 2313·
 1986 07 45303·
 1986 06 93323·
 1986 05 49307.
 1986 04 62282.
 1986 03 2289.
 1986 02 59275.
 1986 01 70298.
 1985 12  75304·
 1985 11  87303.
 1985 10  99302·
 1985 09  7302.
 1985 08  64301.
 1985 07  56300·
 1985 06  1300·
 1985 05  79299.
 1985 04  82298·
 1985 03  91297.
 1985 02  77297·
 1985 01  29296·
 1984 12 2295·
 1984 11 99294.
 1984 10 67293.
 1984 09 27293·
 1984 08 26292·
 1984 07 11291.
 1984 06 31290·
 1984 05 67289.
 1984 04 79289.
 1984 03 84288.
 1984 02 60287·
 1984 01 69286·
 1983 12  11285·
 1983 11  0284·
 1983 10  64283.
 1983 09  75282.
 1983 08  97281·
 1983 07  64280·
 1983 06  83279.
 1983 05  56278.
 1983 04  39277·
 1983 03  10276.
 1983 02  79275·
 1983 01  6274·
 1982 12 61273.
 1982 11 94272·
 1982 10 39271.
 1982 09 43270.
 1982 08 13269·
 1982 07 96268·
 1982 06 78267.
 1982 05 13266.
 1982 04 72265·
 1982 03 24264.
 1982 02 32263·
 1982 01 83262.
 1981 12  38261.
 1981 11  10259.
 1981 10  65258.
 1981 09  48257·
 1981 08  35256.
 1981 07  10255·
 1981 06  65254.
 1981 05  28253·
 1981 04  15252·
 1981 03  6250·
 1981 02  44249·
 1981 01  66248·
 1980 12 53247.
 1980 11 4245.
 1980 10 40244.
 1980 09 32243.
 1980 08 48242.
 1980 07 35240·
 1980 06 16239·
 1980 05 19238.
 1980 04 28236.
 1980 03 58235.
 1980 02 61234.
 1980 01 48233·
 1979 12  41215·
 1979 11  53217·
 1979 10  87219·
 1979 09  61207·
 1979 08  63210.
 1979 07  27214.
 1979 06  31209·
 1979 05  28199.
 1979 04  95193.
 1979 03  11197·
 1979 02  57182·
 1979 01  44184·
 1978 12 63187.
 1978 11 63176·
 1978 10 53191.
 1978 09 27194.
 1978 08 15194.
 1978 07 64199·
 1978 06 32189.
 1978 05 22205·
 1978 04 29194·
 1978 03 20185.
 1978 02 30177.
 1978 01 97192.
 1977 12  4194.
 1977 11  63204·
 1977 10  13201.
 1977 09  47195.
 1977 08  65176·
 1977 07  50175·
 1977 06  66167.
 1977 05  91169·
 1977 04  64182.
 1977 03  62166·
 1977 02  4174·
 1977 01  73159.
 1976 12 75168·
 1976 11 6171·
 1976 10 63184·
 1976 09 63184·
 1976 08 99200.
 1976 07 15193·
 1976 06 7192·
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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: 55-59 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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