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 Series Title: Population Level: 60-64 years, 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 8703·
 2012 03 73669.
 2012 02 14701.
 2012 01 63689·
 2011 12  80678.
 2011 11  25682·
 2011 10  58719.
 2011 09  74716.
 2011 08  44700.
 2011 07  99738.
 2011 06  29722.
 2011 05  8710.
 2011 04  50707·
 2011 03  79644·
 2011 02  38645·
 2011 01  11638·
 2010 12 72634.
 2010 11 71631·
 2010 10 24673.
 2010 09 50678.
 2010 08 13657.
 2010 07 6649·
 2010 06 50647·
 2010 05 20666·
 2010 04 96645.
 2010 03 41636·
 2010 02 3622.
 2010 01 40617·
 2009 12  72611.
 2009 11  58590·
 2009 10  97602·
 2009 09  55629·
 2009 08  17629.
 2009 07  63634·
 2009 06  68623.
 2009 05  33611.
 2009 04  31600.
 2009 03  88600.
 2009 02  81615.
 2009 01  69590·
 2008 12 40601.
 2008 11 90585·
 2008 10 23570·
 2008 09 82580.
 2008 08 93571.
 2008 07 49577·
 2008 06 7582·
 2008 05 16577·
 2008 04 67581·
 2008 03 74583·
 2008 02 71583.
 2008 01 39564.
 2007 12  61572.
 2007 11  95547·
 2007 10  77540·
 2007 09  47516·
 2007 08  2497·
 2007 07  70503·
 2007 06  14535.
 2007 05  58537.
 2007 04  39536·
 2007 03  79541·
 2007 02  95537·
 2007 01  17547.
 2006 12 47536.
 2006 11 30530.
 2006 10 56506·
 2006 09 93486·
 2006 08 28464·
 2006 07 53461.
 2006 06 62449.
 2006 05 79445·
 2006 04 6425·
 2006 03 7460·
 2006 02 1483·
 2006 01 95493·
 2005 12  33512.
 2005 11  71483.
 2005 10  84496·
 2005 09  85475·
 2005 08  82445·
 2005 07  54463.
 2005 06  50437·
 2005 05  18432.
 2005 04  56429.
 2005 03  87413.
 2005 02  62445·
 2005 01  89464.
 2004 12 78454.
 2004 11 25462·
 2004 10 8455·
 2004 09 16414.
 2004 08 1455.
 2004 07 52440.
 2004 06 1459.
 2004 05 44446.
 2004 04 98392·
 2004 03 73386.
 2004 02 77413·
 2004 01 41434·
 2003 12  70439·
 2003 11  21453.
 2003 10  2429.
 2003 09  3387.
 2003 08  43448·
 2003 07  51427.
 2003 06  61417.
 2003 05  47420·
 2003 04  68405.
 2003 03  45386.
 2003 02  69391.
 2003 01  19385·
 2002 12 18388.
 2002 11 11425.
 2002 10 63433.
 2002 09 87404.
 2002 08 96392.
 2002 07 80362·
 2002 06 6317·
 2002 05 45354·
 2002 04 26370·
 2002 03 8371.
 2002 02 85394.
 2002 01 13408·
 2001 12  58396.
 2001 11  77405·
 2001 10  15381·
 2001 09  35360·
 2001 08  69355·
 2001 07  94349.
 2001 06  32332·
 2001 05  80313.
 2001 04  58361·
 2001 03  90360.
 2001 02  99388·
 2001 01  41413·
 2000 12 51420.
 2000 11 22395·
 2000 10 5399·
 2000 09 39359.
 2000 08 98312·
 2000 07 71340.
 2000 06 62320.
 2000 05 17330·
 2000 04 75331·
 2000 03 45342·
 2000 02 9360.
 2000 01 45360.
 1993 12  82240·
 1993 11  75280·
 1993 10  7280.
 1993 09  16302.
 1993 08  44282·
 1993 07  17272.
 1993 06  46273·
 1993 05  50253·
 1993 04  12263·
 1993 03  54266.
 1993 02  37267·
 1993 01  91262.
 1992 12 61252·
 1992 11 91248.
 1992 10 19256·
 1992 09 7274.
 1992 08 92271·
 1992 07 61283·
 1992 06 55303·
 1992 05 94302·
 1992 04 30289·
 1992 03 20284.
 1992 02 32279·
 1992 01 70278·
 1991 12  25290.
 1991 11  49269.
 1991 10  64273.
 1991 09  80280.
 1991 08  52283.
 1991 07  56291.
 1991 06  88284·
 1991 05  92285.
 1991 04  13265.
 1991 03  72265.
 1991 02  67271·
 1991 01  1270·
 1990 12 33292.
 1990 11 54282·
 1990 10 89299·
 1990 09 26296.
 1990 08 61260·
 1990 07 83268.
 1990 06 68246·
 1990 05 11251.
 1990 04 74256.
 1990 03 66251.
 1990 02 40253.
 1990 01 24250·
 1989 12  71253.
 1989 11  34256.
 1989 10  69255·
 1989 09  62249·
 1989 08  79245.
 1989 07  45240·
 1989 06  42226.
 1989 05  41214.
 1989 04  47226·
 1989 03  79209.
 1989 02  74234·
 1989 01  7247.
 1988 12 51220·
 1988 11 44232·
 1988 10 0235·
 1988 09 29220.
 1988 08 91205·
 1988 07 71213·
 1988 06 85217.
 1988 05 1244·
 1988 04 92255.
 1988 03 17234.
 1988 02 16226.
 1988 01 41196.
 1987 12  6209·
 1987 11  64200.
 1987 10  7203.
 1987 09  95207.
 1987 08  7198.
 1987 07  17236.
 1987 06  94220·
 1987 05  31234·
 1987 04  96242·
 1987 03  9238·
 1987 02  41223·
 1987 01  43234.
 1986 12 99236.
 1986 11 97220·
 1986 10 36222·
 1986 09 51205.
 1986 08 65206.
 1986 07 61208·
 1986 06 92215·
 1986 05 99228.
 1986 04 69228·
 1986 03 9236.
 1986 02 46257·
 1986 01 55234.
 1985 12  14214·
 1985 11  72213·
 1985 10  61212·
 1985 09  15211.
 1985 08  23210.
 1985 07  8210·
 1985 06  26209.
 1985 05  96208.
 1985 04  47207.
 1985 03  96206.
 1985 02  54205.
 1985 01  44204·
 1984 12 62203·
 1984 11 45202.
 1984 10 81201·
 1984 09 27200·
 1984 08 67199.
 1984 07 86198·
 1984 06 71197·
 1984 05 40196·
 1984 04 89195·
 1984 03 75194.
 1984 02 13193.
 1984 01 1192.
 1983 12  78191·
 1983 11  95190.
 1983 10  18189·
 1983 09  55187.
 1983 08  9186·
 1983 07  51185.
 1983 06  24184.
 1983 05  71183·
 1983 04  82182·
 1983 03  75181.
 1983 02  96180.
 1983 01  43179·
 1982 12 24178.
 1982 11 25177.
 1982 10 20176.
 1982 09 91175.
 1982 08 83174·
 1982 07 81173·
 1982 06 9171.
 1982 05 57170·
 1982 04 36169·
 1982 03 51168·
 1982 02 1167·
 1982 01 13166·
 1981 12  84165.
 1981 11  65164.
 1981 10  60163.
 1981 09  50162·
 1981 08  51161·
 1981 07  81160.
 1981 06  72159.
 1981 05  90158.
 1981 04  87157.
 1981 03  80156·
 1981 02  52155·
 1981 01  76155·
 1980 12 69154·
 1980 11 70153·
 1980 10 36152.
 1980 09 76151·
 1980 08 97150·
 1980 07 80149.
 1980 06 88148·
 1980 05 86147·
 1980 04 95146.
 1980 03 69145·
 1980 02 96144·
 1980 01 25144.
 1979 12  15123.
 1979 11  18120.
 1979 10  72130·
 1979 09  35124.
 1979 08  32118·
 1979 07  33121.
 1979 06  55125.
 1979 05  88115.
 1979 04  46117.
 1979 03  46117·
 1979 02  7118·
 1979 01  7699.
 1978 12 83108·
 1978 11 14102.
 1978 10 16105·
 1978 09 19115.
 1978 08 92122·
 1978 07 18130·
 1978 06 95119·
 1978 05 61124.
 1978 04 50116·
 1978 03 65108.
 1978 02 8199.
 1978 01 7195·
 1977 12  57100.
 1977 11  87102.
 1977 10  39104.
 1977 09  44101·
 1977 08  38113·
 1977 07  40107·
 1977 06  56112·
 1977 05  98112.
 1977 04  43107·
 1977 03  6109·
 1977 02  44112·
 1977 01  78112·
 1976 12 48113·
 1976 11 92119·
 1976 10 41119·
 1976 09 52117.
 1976 08 54130.
 1976 07 29126·
 1976 06 11133.
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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: 60-64 years, 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

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

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