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 Series Title: Unemployment Rate: 70-74 years, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1981 01  311·6
 1981 02  482·4
 1981 03  633·3
 1981 04  546.1
 1981 05  233.4
 1981 06  732.7
 1981 07  122.9
 1981 08  733.1
 1981 09  751.1
 1981 10  911·5
 1981 11  552·2
 1981 12  851·2
 1982 02 382·0
 1982 03 831·6
 1982 04 51·8
 1982 05 333·0
 1982 06 862·4
 1982 07 552·4
 1982 08 21·6
 1982 09 872·9
 1982 10 213·0
 1982 11 393.7
 1982 12 63·1
 1983 01  413.4
 1983 02  671.8
 1983 03  922.5
 1983 04  71·4
 1983 05  132·9
 1983 06  752.8
 1983 07  951·9
 1983 08  171·1
 1983 09  491·7
 1983 10  211.9
 1983 11  561.4
 1983 12  731.1
 1984 01 170.4
 1984 02 40.4
 1984 03 54.1
 1984 04 404·1
 1984 05 114.2
 1984 06 517·6
 1984 07 995·8
 1984 08 44.4
 1984 09 512·6
 1984 10 122.5
 1984 11 214·9
 1984 12 800·3
 1985 01  812·5
 1985 02  611·0
 1985 03  761.3
 1985 04  32·8
 1985 05  691·5
 1985 06  02·9
 1985 07  963.5
 1985 08  396.4
 1985 09  111.5
 1985 10  532.8
 1985 11  381.2
 1985 12  731·8
 1986 01 243.3
 1986 02 720.4
 1986 03 842·2
 1986 04 200·8
 1986 05 543·1
 1986 06 312·7
 1986 07 402.5
 1986 08 171·8
 1986 09 692·5
 1986 10 311.1
 1986 11 382.3
 1986 12 273·4
 1987 01  641·6
 1987 02  981.6
 1987 03  340·8
 1987 04  371.3
 1987 05  572.2
 1987 06  810·4
 1987 07  110.8
 1987 08  621.8
 1987 09  933.2
 1987 10  571.7
 1987 11  742.6
 1987 12  381·4
 1988 01 412·7
 1988 02 252·0
 1988 03 551·1
 1988 04 292.4
 1988 05 962·7
 1988 06 100.8
 1988 07 121·5
 1988 08 230.4
 1988 09 751.4
 1988 10 651.3
 1988 11 250·6
 1988 12 312.1
 1989 01  242.0
 1989 02  623·2
 1989 03  21.0
 1989 04  933·3
 1989 05  112·9
 1989 06  42.5
 1989 07  731·0
 1989 08  712.1
 1989 09  312·5
 1989 10  161·8
 1989 11  963·0
 1989 12  532·1
 1990 01 33.9
 1990 02 472·7
 1990 03 532·8
 1990 04 532.6
 1990 05 701·8
 1990 06 731.7
 1990 07 491.4
 1990 08 62·5
 1990 09 32·1
 1990 10 952.2
 1990 11 172·8
 1990 12 783·2
 1991 01  955.1
 1991 02  382.5
 1991 03  130·5
 1991 04  550·7
 1991 05  653·6
 1991 06  534·9
 1991 07  183.8
 1991 08  512.7
 1991 09  581.7
 1991 10  142.9
 1991 11  404.5
 1991 12  34.0
 1992 01 422.5
 1992 02 232.6
 1992 03 103·4
 1992 04 743.7
 1992 05 127·1
 1992 06 45·4
 1992 07 858.4
 1992 08 536.2
 1992 09 875·2
 1992 10 86.1
 1992 11 474.4
 1992 12 515·6
 1993 01  125·5
 1993 02  105·3
 1993 03  12·5
 1993 04  83.4
 1993 05  542·9
 1993 06  123·9
 1993 07  803.2
 1993 08  852·7
 1993 09  93.3
 1993 10  370.7
 1993 11  403·5
 1993 12  712·3
 1994 01 957.3
 1994 02 374.9
 1994 03 635.3
 1994 04 794.3
 1994 05 564.4
 1994 06 874.1
 1994 07 563.3
 1994 08 464.8
 1994 09 634.7
 1994 10 874.6
 1994 11 505·1
 1994 12 353·5
 1995 01  83.8
 1995 02  635·2
 1995 03  13.9
 1995 04  353·0
 1995 05  122·3
 1995 06  654·6
 1995 07  934.7
 1995 08  585.0
 1995 09  173·3
 1995 10  683·6
 1995 11  304·7
 1995 12  421.9
 1996 01 942·7
 1996 02 743.2
 1996 03 454·5
 1996 04 503.5
 1996 05 374·3
 1996 06 61.2
 1996 07 944·9
 1996 08 703·0
 1996 09 642·0
 1996 10 173·9
 1996 11 601.4
 1996 12 154.5
 1997 01  193·5
 1997 02  804.0
 1997 03  484·5
 1997 04  224·0
 1997 05  737·4
 1997 06  972·7
 1997 07  913.0
 1997 08  553.7
 1997 09  194·5
 1997 10  922·6
 1997 11  444·1
 1997 12  10·2
 1998 01 752·8
 1998 02 173·2
 1998 03 903·6
 1998 04 731·5
 1998 05 882·7
 1998 06 471·5
 1998 07 363.1
 1998 08 103.1
 1998 09 245·7
 1998 10 812.3
 1998 11 123·2
 1998 12 742.2
 1999 01  792.5
 1999 02  461·2
 1999 03  762·6
 1999 04  531.4
 1999 05  723·7
 1999 06  925·1
 1999 07  93·3
 1999 08  593.6
 1999 09  470·6
 1999 10  943·5
 1999 11  182.6
 1999 12  311·8
 2000 01 732·4
 2000 02 521·9
 2000 03 343.2
 2000 04 321·4
 2000 05 432·9
 2000 06 934·0
 2000 07 142.7
 2000 08 501.3
 2000 09 792·3
 2000 10 661.3
 2000 11 401.4
 2000 12 971·9
 2001 01  222.1
 2001 02  462.5
 2001 03  191.2
 2001 04  110.2
 2001 05  432.2
 2001 06  351.9
 2001 07  813·7
 2001 08  564·0
 2001 09  365.6
 2001 10  573·1
 2001 11  843.1
 2001 12  182·0
 2002 01 203·1
 2002 02 632.1
 2002 03 103·1
 2002 04 122·5
 2002 05 393.5
 2002 06 293·0
 2002 07 643·8
 2002 08 744·3
 2002 09 624·5
 2002 10 542.4
 2002 11 794.0
 2002 12 684·3
 2003 01  835.4
 2003 02  643·3
 2003 03  113·5
 2003 04  821·2
 2003 05  211·6
 2003 06  102.8
 2003 07  422.2
 2003 08  283.4
 2003 09  212·3
 2003 10  663.6
 2003 11  783.5
 2003 12  452·3
 2004 01 524.9
 2004 02 342.7
 2004 03 523·7
 2004 04 953.6
 2004 05 81.4
 2004 06 383.5
 2004 07 194·4
 2004 08 672·6
 2004 09 73·7
 2004 10 303·5
 2004 11 623·8
 2004 12 723·1
 2005 01  953·8
 2005 02  842.7
 2005 03  873.2
 2005 04  502·9
 2005 05  403·0
 2005 06  14.4
 2005 07  263·0
 2005 08  627.4
 2005 09  365·0
 2005 10  63.2
 2005 11  353.5
 2005 12  971·8
 2006 01 31·1
 2006 02 493.0
 2006 03 964·0
 2006 04 683·6
 2006 05 851·6
 2006 06 72·9
 2006 07 153.6
 2006 08 136.8
 2006 09 505.2
 2006 10 795.4
 2006 11 254·9
 2006 12 940·6
 2007 01  942·1
 2007 02  912·1
 2007 03  822·7
 2007 04  993.0
 2007 05  342·2
 2007 06  924·9
 2007 07  675.2
 2007 08  413.3
 2007 09  163.4
 2007 10  603.0
 2007 11  872·9
 2007 12  592.6
 2008 01 84·9
 2008 02 936.5
 2008 03 754·2
 2008 04 146·5
 2008 05 52.7
 2008 06 185.0
 2008 07 854.3
 2008 08 965.7
 2008 09 253·3
 2008 10 854·6
 2008 11 12.6
 2008 12 162.8
 2009 01  135·9
 2009 02  688·5
 2009 03  295.8
 2009 04  134.7
 2009 05  387·9
 2009 06  695·2
 2009 07  05·2
 2009 08  505·4
 2009 09  944.3
 2009 10  133·6
 2009 11  715.8
 2009 12  143·8
 2010 01 06·0
 2010 02 518.0
 2010 03 245·3
 2010 04 183.0
 2010 05 14.0
 2010 06 574.3
 2010 07 654.5
 2010 08 15.9
 2010 09 656·6
 2010 10 325.5
 2010 11 266.0
 2010 12 253.8
 2011 01  874.8
 2011 02  14·4
 2011 03  635·4
 2011 04  785.6
 2011 05  866·9
 2011 06  164.5
 2011 07  597.6
 2011 08  726·3
 2011 09  56.1
 2011 10  509·6
 2011 11  199·2
 2011 12  475.6
 2012 01 157·7


 2012 02 66.9
 2012 03 775.8
 2012 04 645·5
 2012 05 96.4
 2012 06 74.9
 2012 07 875.4
 2012 08 128·0
 2012 09 65·6
 2012 10 57.9
 2012 11 325.7
 2012 12 45·7
 2013 01  515.3
 2013 02  744.8
 2013 03  196.7
 2013 04  763.1
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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: Unemployment Rate: 70-74 years, White Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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